Refine
Departments, institutes and facilities
- Präsidium (397)
- Fachbereich Angewandte Naturwissenschaften (189)
- Fachbereich Informatik (178)
- Fachbereich Wirtschaftswissenschaften (154)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (133)
- Fachbereich Ingenieurwissenschaften und Kommunikation (124)
- Internationales Zentrum für Nachhaltige Entwicklung (IZNE) (100)
- Institut für funktionale Gen-Analytik (IFGA) (72)
- Fachbereich Sozialpolitik und Soziale Sicherung (43)
- Institute of Visual Computing (IVC) (41)
Document Type
- Article (440)
- Part of Periodical (407)
- Conference Object (160)
- Part of a Book (83)
- Report (54)
- Working Paper (42)
- Preprint (19)
- Bachelor Thesis (18)
- Master's Thesis (14)
- Other (10)
Year of publication
Has Fulltext
- yes (1269) (remove)
Keywords
- Entrepreneurship (8)
- Ghana (8)
- Hochschule Bonn-Rhein-Sieg (7)
- Machine Learning (7)
- Robotik (7)
- cytokine-induced killer cells (7)
- lignin (7)
- Digitalisierung (6)
- Kenya (6)
- Lignin (6)
- Sustainability (6)
- immunotherapy (6)
- GC/MS (5)
- Usable Security (5)
- Well-being (5)
- West Africa (5)
- drug release (5)
- scaffolds (5)
- social protection (5)
- work engagement (5)
- Big Data Analysis (4)
- Corporate Social Responsibility (4)
- Deutschland (4)
- Nachhaltigkeit (4)
- Risk-based Authentication (4)
- Social Protection (4)
- Virtuelle Realität (4)
- biodiversity (4)
- biomaterial (4)
- burnout (4)
- computer vision (4)
- energy meteorology (4)
- osteogenesis (4)
- recovery (4)
- relaxation (4)
- stem cells (4)
- sustainability (4)
- 802.11 (3)
- Artificial Intelligence (3)
- Augmented Reality (3)
- Automation (3)
- COVID-19 (3)
- Cutting sticks-Problem (3)
- DNA damage (3)
- ENaC (3)
- Evaluation (3)
- GDPR (3)
- Global horizontal irradiance (3)
- Knowledge Graphs (3)
- Latin America (3)
- Miscanthus (3)
- Miscanthus x giganteus (3)
- Mobility (3)
- Older adults (3)
- Perceptual Upright (3)
- Pesticides (3)
- Political Economy (3)
- Process Automation (3)
- Public Transport (3)
- Risk-based Authentication (RBA) (3)
- SERS (3)
- Societal dialogues (3)
- Start-ups (3)
- Teilsummenaufteilung (3)
- Virtual Reality (3)
- WiLD (3)
- accelerometer (3)
- additive (3)
- angiogenesis (3)
- antioxidant (3)
- biomass (3)
- bone tissue engineering (3)
- chemometrics (3)
- climate change (3)
- document similarity (3)
- extraction (3)
- extremophiles (3)
- food waste (3)
- health intervention (3)
- hydrogel (3)
- mental health (3)
- modeling (3)
- organosolv (3)
- psychological detachment (3)
- radiation (3)
- rumination (3)
- tissue engineering (3)
- virtual reality (3)
- work reflection (3)
- 3D-Scanner (2)
- AOD (2)
- Active Learning (2)
- Agil (2)
- Agilität (2)
- Auslandsstudium (2)
- Authentication features (2)
- Bioinformatics (2)
- C sequestration (2)
- C source (2)
- CIK cells (2)
- COD (2)
- CSR (2)
- Collaboration (2)
- Composites (2)
- Computer Vision (2)
- Conservation practice (2)
- Consumer (2)
- Consumer Informatics (2)
- Crisis Communication (2)
- Curriculum (2)
- DNA typing (2)
- Deep Learning (2)
- Detachment (2)
- Development (2)
- Development Policy (2)
- Digitalization (2)
- Distribution grid management (2)
- E-Learning (2)
- Eco-Feedback (2)
- Energiemeteorologie (2)
- Erlebnisbericht (2)
- Erzeugungsprognose (2)
- Ethik (2)
- Exergames (2)
- FPGA (2)
- Fall prevention (2)
- Flüchtlingshilfe (2)
- Folin-Ciocalteu assay (2)
- Forecasting (2)
- Forschungsbericht (2)
- Gene expression (2)
- Graphene (2)
- Gravitation (2)
- Gruppendiskussion (2)
- HSP90 (2)
- Higher Education (2)
- Hydrogen storage (2)
- ICT (2)
- IEEE 802.11 (2)
- IEEE802.11 (2)
- IR microspectroscopy (2)
- IT-Controlling (2)
- IT-Projektmanagement (2)
- Inborn error of metabolism (2)
- Insect decline (2)
- Institutions (2)
- Internationalization (2)
- Inversion (2)
- Issues Monitoring (2)
- Kanban (2)
- Ketone body (2)
- LSTM (2)
- Lattice Boltzmann Method (2)
- Liebe (2)
- Long-Distance WiFi (2)
- Love (2)
- Mass spectrometry (2)
- Membrane Transport (2)
- Mengenpartitionsproblem (2)
- Metabarcoding (2)
- Metabolic acidosis (2)
- Modal Shift (2)
- Molecular dynamics (2)
- Monitoring (2)
- N immobilisation (2)
- NGOs (2)
- Named Entity Recognition (2)
- Nano-Systems (2)
- Natural Language Processing (2)
- Nudge (2)
- OER (2)
- Object Detection (2)
- Organic aciduria (2)
- Organisationssoziologie (2)
- Organizational Culture (2)
- Password (2)
- Perception (2)
- Photovoltaik (2)
- Policy Change (2)
- Policy Diffusion (2)
- Policy Learning (2)
- Policy Transfer (2)
- Polyamorie (2)
- Polyamory (2)
- Polymers (2)
- Prognosis (2)
- Prozessautomation (2)
- Pyrolysis (2)
- Qualitätspakt Lehre (2)
- R-ratio (2)
- Raumwahrnehmung (2)
- Ray Tracing (2)
- Reflektanz (2)
- Requirements Engineering (2)
- SLC (2)
- Satellitenprodukte (2)
- Schwartz's portrait value questionnaire (PVQ) (2)
- Scrum (2)
- Si reference cells (2)
- Si-Referenzzellen (2)
- Simulation (2)
- Social Media (2)
- Social Media Analysis (2)
- Sozialpolitik (2)
- Spectroscopy (2)
- Spektraler Einfluss (2)
- Strahlung (2)
- Strahlungsvariabilität (2)
- Sub-Saharan Africa (2)
- Sustainable Interaction Design (2)
- Sustainable development (2)
- Transformers (2)
- Transgovernmental Networks (2)
- Treatment (2)
- Umweltbewusstsein (2)
- Umweltbezogenes Management (2)
- Unternehmen (2)
- Usable Security and Privacy (2)
- Values (2)
- Verbraucherverhalten (2)
- Verkehrssimulation (2)
- WRF-Solar (2)
- Wahrnehmung (2)
- Web Data Mining (2)
- Whole-genome sequencing (2)
- Wolkenparameter (2)
- Word embeddings (2)
- Workplace (2)
- active packaging (2)
- affective events (2)
- aluminum bonding wire (2)
- antimicrobial activity (2)
- antioxidant activity (2)
- automated sensor-screening (2)
- autonomous driving (2)
- autophagy (2)
- bacteria (2)
- bank customers (2)
- behavioural economics (2)
- bio-based polymers (2)
- bioeconomy (2)
- biometrics (2)
- bone regeneration (2)
- cafeteria (2)
- cell migration (2)
- circular economy (2)
- citizen participation (2)
- civil society (2)
- classification (2)
- cloud parameters (2)
- creep (2)
- crystallization (2)
- cytokine-induced killer (CIK) cells (2)
- deep learning (2)
- discriminant analysis (2)
- domestic robots (2)
- double pulse test (2)
- employee well-being (2)
- error analysis (2)
- essential oil (2)
- evolution (2)
- experience sampling (2)
- export (2)
- extraterrestrial analogue (2)
- extremophile (2)
- family business (2)
- farmers (2)
- food choice (2)
- food systems (2)
- force generation (2)
- fungi (2)
- generation forecast (2)
- growth curve modeling (2)
- haptics (2)
- health management (2)
- higher education (2)
- holiday (2)
- human resource management (2)
- interdisciplinarity (2)
- inversion (2)
- job demands-resources model (2)
- ketogenesis (2)
- kraft lignin (2)
- labour migration (2)
- life detection (2)
- lifetime prediction (2)
- lignocellulose feedstock (2)
- local chain orientation (2)
- low-input crops (2)
- lymphoma (2)
- measurement errors (2)
- melanin (2)
- mesenchymal stem cells (2)
- mesoscale coarse-graining (2)
- microbial biomass C (2)
- microbial biomass N (2)
- mixed reality (2)
- monolignol ratio (2)
- multivariate data processing (2)
- myosin (2)
- natural additives (2)
- numerical weather prediction (2)
- numerische Wettervorhersage (2)
- organic aciduria (2)
- osteoblast (2)
- osteoclast (2)
- permeability (2)
- perseverative cognition (2)
- photonic sensing (2)
- photovoltaics (2)
- plant extracts (2)
- poly(butylene adipate terephthalate) (2)
- poly(lactic acid) (2)
- polyethylene (2)
- power electronics (2)
- power semiconductors (2)
- presenteeism (2)
- problem-solving pondering (2)
- promotion of organic agriculture (2)
- radiation variability (2)
- reflectance (2)
- regional economies (2)
- regional food production (2)
- resources (2)
- robot competitions (2)
- robotics (2)
- satellite products (2)
- scaffold (2)
- security (2)
- semiconducting metal oxide gas sensor array (2)
- sensitization-satiation effects (2)
- sensor phenomena and characterization (2)
- shelf life (2)
- shrinkage (2)
- skill partnership (2)
- small-scale fatigue testing (2)
- social assistance (2)
- social empirical research (2)
- soil organic matter (2)
- spectral influence (2)
- stress response (2)
- students (2)
- survival (2)
- sustainable development goals (2)
- sustainable packaging (2)
- sustainable transition (2)
- technological innovation (2)
- therapy (2)
- thriving (2)
- total phenol content (2)
- transfer learning (2)
- ultrapure water (2)
- urban green spaces (2)
- virtuelle Umgebungen (2)
- vitality (2)
- vocational training (2)
- wide band gap (2)
- Öffentlichkeit (2)
- (poly)saccharides (1)
- 0-1-Integer-Problem (1)
- 16S rRNA gene sequencing (1)
- 2B4 (1)
- 3-hydroxy-n-butyric acid (1)
- 3-hydroxyisobutyrate dehydrogenase (1)
- 3-hydroxyisobutyrate dehydrogenase deficiency (1)
- 3-hydroxyisobutyric aciduria (1)
- 3D Crosstalk (1)
- 3D Display (1)
- 3D Segmentation (1)
- 3D crosstalk (1)
- 3D display (1)
- 3D navigation (1)
- 3D printing (1)
- 3D user interface (1)
- ACAT1 (1)
- ACacylcarnitines (1)
- ADP release (1)
- AI usage in sports (1)
- AMAtypical myopathy (1)
- AML (1)
- ANN controller (1)
- AOP (1)
- APC superfamily (1)
- API Documentation (1)
- AR (1)
- AR design (1)
- AR development (1)
- AR/VR (1)
- ARRs (1)
- ASAG (1)
- ATB0,+ (1)
- ATPase cycle (1)
- ATR-FTIR (1)
- Abies nordmanniana (1)
- Abies procera (1)
- Abstract Syntax Tree (1)
- Accelerators (1)
- Accounting practices (1)
- Achtsamkeit (1)
- Actiotope Model (1)
- Active Eco-Tourism in Emerging Tourism (1)
- Adaptive Behavior (1)
- Adaptive Case Management (1)
- Additiv (1)
- Additive (1)
- Adipogenic effect (1)
- Adipose tissue-derived stem cells (1)
- Administrative work (1)
- Adoption (1)
- Advances in Design Science Research (1)
- Affinity proteomics (1)
- Africa (1)
- Agents (1)
- Agile (1)
- Agility (1)
- Agri-environment schemes (1)
- Air transport (1)
- Alginat (1)
- Algorithmische Informationstheorie (1)
- Algorithms (1)
- Allgegenwärtige Spiele (1)
- Aloe vera (1)
- Analyse (1)
- Anforderungen (1)
- Ankle Joint (1)
- Antarctic Polar Plateau (1)
- Antarctic ice sheet (1)
- Anthropocene (1)
- Anti-inflammatory effects (1)
- Antibodies* (1)
- Antibody Induced Arthritis (1)
- Antibody analysis (1)
- Antigen analysis (1)
- Antioxidant capacity (1)
- Antioxidative Capacity (1)
- Antioxidatives Potential (1)
- Applied and Practice-Oriented Research (1)
- Applied sciences (1)
- Apprenticeship Learning (1)
- Appropriation (1)
- Arbeitgeberattraktivität (1)
- Arbeitspsychologie (1)
- Arbeitswelt (1)
- Articular Cartilage (1)
- Artificial bulk viscosity (1)
- Assay development (1)
- Assay reproducibility (1)
- Assistenzsystem (1)
- Asylbewerberunterkunft (1)
- Asymmetric cell division (1)
- Atlantic coast (1)
- Atmosphere flow (1)
- Attitudes (1)
- AuNPs (1)
- Aufgabenkritik (1)
- Aufklärung (1)
- Aufrecht (1)
- Authentication (1)
- Automatisierung (1)
- Automobilindustrie (1)
- Automotive Industry (1)
- Autonomous vehicles (1)
- Autonomy (1)
- Autostereoskopisch (1)
- Avian influenza (1)
- B-cell leukemia (1)
- BBNE (1)
- BCFA (1)
- BLAST (1)
- BPMS (1)
- Bacillus (1)
- Backorder prediction (1)
- Bacteria, Anaerobic (1)
- Balance (1)
- Ball Tracking (1)
- Battery pack configurations (1)
- Bayesian CFA (1)
- Behälterbau (1)
- Benchmark (1)
- Benutzerforschung (1)
- Beratung (1)
- Berufseinstieg (1)
- Beschaffung (1)
- Beta-ketothiolase (1)
- Bibliographic Analysis (1)
- Bildungsmanagement (1)
- Bildverarbeitung (1)
- Bilingualism (1)
- BioMark HD microfluidic system (1)
- Bioactive (1)
- Bioaktiv (1)
- Biodiversity (1)
- Biological databases (1)
- Biophysics (1)
- Biopolymers (1)
- Bireysel refah etkileri (1)
- Black soldier fly larva (1)
- Black-Box Optimization (1)
- Blockchain (1)
- Blue light (1)
- Bond graph (1)
- Bone marrow-derived stem cells (1)
- Bonn (1)
- Bounding box explanations (1)
- Brand (1)
- Brand identity (1)
- Brand image (1)
- Breast cancer (1)
- Bubble-Chart (1)
- Business (1)
- Business Sector (1)
- Business Support System (1)
- Business processes (1)
- CAE metadata structures (1)
- CC (1)
- CD30+ cells (1)
- CD40, CTLA-4 (1)
- CDH1 (1)
- CDKN1B (1)
- CEHL (1)
- CFTR inhibitors (1)
- CFTR mutations (1)
- CIK-Zellen (1)
- CNN (1)
- COVID (1)
- COVID-19 pandemic (1)
- COVID‐19 (1)
- CSR-RUG (1)
- Calcium (1)
- Calcium Intracellular Release (1)
- Calibration (1)
- Camera selection (1)
- Camera view analysis (1)
- Cancer (1)
- Cannabinoids (1)
- Capital structure (1)
- Car Telematics (1)
- Carcinogenic (1)
- Cardiovascular Disease (1)
- Cartilage Destruction (1)
- Cathepsin K (1)
- Cell Cycle (1)
- Cell Differentiation (1)
- Cell Signaling (1)
- Cell lineage (1)
- Cell-to-cell parameter variations (1)
- Centrifugation (1)
- Centrifuge (1)
- Cervical cancer screening (1)
- Cervicovaginal microbiome (1)
- Chaetocin (1)
- Chaitin-Konstante (1)
- Challenges (1)
- Change-Prozess (1)
- Chaotic Transceiver (1)
- Charakterisierung (1)
- Chatbot (1)
- Chemical calculations (1)
- Chemical imaging (1)
- Chemische Synthese (1)
- Chemometrics (1)
- Chemotherapy (1)
- Chloroquine (1)
- Chromatography (1)
- Cislunar (1)
- Classification (1)
- Classification explanations (1)
- Climate change responses (1)
- Climate risks (1)
- Climate-resilient development (1)
- Cloud (1)
- Cloud Computing (1)
- Co-Working Space (1)
- Co-performance (1)
- Code Generation (1)
- Codes (1)
- Codierung (1)
- Cognition (1)
- Collaboration/Cooperation (1)
- Collective action (1)
- Colposcopy (1)
- Commitment (1)
- Communication (1)
- Comparative Analysis (1)
- Competency-based teaching (1)
- Complexity (1)
- Compressible (1)
- Compressible flows (1)
- Compressive strength (1)
- Computer Graphics (1)
- Computerspieljournalismus (1)
- Consensus (1)
- Consumer behavior (1)
- Consumption of natural resources (1)
- Content Security Policies (1)
- Contingency analysis (1)
- Conversational Search (1)
- Convexity (1)
- Convolutional Neural Network (CNN) (1)
- Cooperative Learning (1)
- Corona-Pandemie (1)
- Corporate social responsibility (1)
- Corporate sustainability (1)
- Correlation (1)
- Corrosion protction (1)
- Country Risks (1)
- Created Gravity (1)
- Creative Commons (1)
- Crime (1)
- Cryptography (1)
- Cubature (1)
- Culinary Tourism (1)
- Culture (1)
- Culture in Education (1)
- Current measurement (1)
- Current research information systems (1)
- Cutting sticks problem (1)
- CyberGlove (1)
- DBSdried blot spots (1)
- DC-cascade (1)
- DCF (1)
- DNA (1)
- DNA Transcription (1)
- DNA double- strand breaks (1)
- DNA extraction protocols (1)
- DNA interaction (1)
- DNA methylation (1)
- DNA profile (1)
- DOI (1)
- DRAMMA (1)
- DRAMMA model (1)
- Data (1)
- Data Literacy (1)
- Data Protection Officer (1)
- Data Publication (1)
- Data Science (1)
- Data Storytelling (1)
- Data Storytelling Process (1)
- Data protection by design (1)
- Data structures (1)
- Data-Storytelling-Prozess (1)
- DataCite (1)
- Database Management Systems (1)
- Datenbanksysteme (1)
- Datengewinnung (1)
- Datenkompetenz (1)
- Datensicherheit (1)
- Datenwissenschaft (1)
- Decarbonization (1)
- Declarative Process Modeling (1)
- Delphi-method (1)
- Demetylierung von Kraft-Lignin (1)
- Demonstration-based training (1)
- Design Probe (1)
- Design Recommendations (1)
- Design Theory and Practice (1)
- Deutsch (1)
- Developer Centered Security (1)
- Dienstleistung (1)
- Differentielle UV-Spektroskopie (1)
- Digital Ecosystem (1)
- Digital Entrepreneurship Education (1)
- Digital Object Identifier (1)
- Digital Receipt (1)
- Digitale Lehre (1)
- Digitale Medien (1)
- Digitaler Stress (1)
- Digitalisation (1)
- Digitalisierung & Internationalisierung (1)
- Digitalisierung Vernetzung (1)
- Digitalisierungsprojekte (1)
- Digitalisierungsstrategie (1)
- Digitaltechnik (1)
- Directed Acyclic Graph (1)
- Directional Antenna (1)
- Directional antennas (1)
- Directive 2014/95/EU (1)
- Disco (1)
- Disease ecology (1)
- Docking (1)
- Document relevance (1)
- Domain-Specific Language (1)
- Domain-Specific Modeling Languages, (1)
- Domestic Robots (1)
- Domestic Technology (1)
- Domestic workplace studies (1)
- Doğal kaynak tüketimi (1)
- Dried serum spots (1)
- Drift tube (1)
- Drosophila (1)
- Dynamic Case Management (1)
- Dynamic passenger information (1)
- Dynamische Fahrgastinformationen (1)
- E-Health (1)
- E-Learning-Beratung (1)
- E-Learning-Strategie (1)
- E-Learning-Zentrum (1)
- E-Sport (1)
- E-Sport im TV (1)
- E-cadherin (1)
- E-hailing (1)
- E/I balance (1)
- ER stress (1)
- ERO1α (1)
- ESKAPEE pathogens (1)
- ETV6-RUNX1 (1)
- Earth Observation (1)
- East Africa (1)
- Echo chamber (1)
- Eco-Cycling (1)
- Eco-system (1)
- Ecological exploitation (1)
- Ecosystem (1)
- Ecosystem simulation (1)
- Education (1)
- Edutainment (1)
- Effective purpose specification (1)
- Effects (1)
- Effekte (1)
- Ekolojik sömürü (1)
- Electric Vehicles (1)
- Electromagnetic Fields (1)
- Elephantiasis (1)
- Embodied knowledge (1)
- Emotion (1)
- Empirical Study (1)
- EnOcean (1)
- Endosomes (1)
- Energieeinsparung (1)
- Energy Modeling (1)
- Engaging Experience (1)
- Enhanced weathering (1)
- Entrepreneurial Intention (1)
- Entrepreneurial family (1)
- Entrepreneurs (1)
- Entropy (1)
- Environmental Data (1)
- Environmental Protection (1)
- Environmental benefits (1)
- Epitope mapping: Epitope extraction (1)
- Erfolgsfaktoren (1)
- Erholung (1)
- Eriodictyol (1)
- Erwachsenwerden (1)
- Erweiterte Realität (1)
- Ethics (1)
- European horse chestnut (1)
- Eurozone (1)
- Eutectic Ti-Fe alloys (1)
- Evaluation als Kommunikationsanlass (1)
- Executive functions (1)
- Expert Interviews (1)
- Explainable Artificial Intelligence (XAI) (1)
- Exploration (1)
- Explosives (1)
- Extrusionsblasformen (1)
- FDI (1)
- FIVIS (1)
- FM Modulation (1)
- FMR1 (1)
- FOS: Computer and information sciences (1)
- FS20 (1)
- Fabry disease (1)
- Factor and Cluster analyses (1)
- Factor- and cluster analyses (1)
- Fahrgastinformation (1)
- Fahrradfahrsimulator (1)
- Fahrsimulator (1)
- Fake review cues (1)
- Fake review detection (1)
- Familial glioma (1)
- Family business (1)
- Fast Moving Consumer Goods Company (1)
- Fault detection and isolation (1)
- Fe-ion radiation (1)
- Feedback (1)
- Female entrepreneurship (1)
- Fernsehen (1)
- Fertilizer (1)
- Fiber reinforcement (1)
- Financial practices (1)
- First-order frequency domain sensitivities (1)
- Fitness (1)
- Five Factor Model (1)
- Flood management (1)
- Fluid Dynamics (1)
- Fluoreszenzspektroskopie (1)
- Flussnetz (1)
- Flux coefficient (1)
- Flüchtlingspolitik (1)
- Foaming (1)
- Food Practices (1)
- Food Process Quality (1)
- Food Safety and Security (1)
- Food literacy (1)
- Food security (1)
- Force field parameters (1)
- Foreign Language Learning (1)
- Forensic genetics (1)
- Fourier scatterometry (1)
- Fragile X Syndrome (1)
- Frau (1)
- Free-Space Loss (FSL) (1)
- Fuzzy Logic (1)
- Fuzzy Miner (1)
- Führungskräfteentwicklung (1)
- GC–MSgas chromatography–mass spectrometry (1)
- GDDL (1)
- GLI (1)
- GMX1778 (1)
- Gabor filters (1)
- Galactic Cosmic Rays (GCRs) (1)
- Game design (1)
- Gas chromatography (1)
- Gas transport simulation (1)
- Gastgewerbe (1)
- Gasturbinenschaufel (1)
- Gauss–Hermite quadrature (1)
- Gefahrenprävention (1)
- Gelatin Zymography (1)
- Geldpolitik (1)
- Gen BB (1)
- Gen S (1)
- Gen X (1)
- Gen Y (1)
- Gen Z (1)
- Gender (1)
- Genes (1)
- Genomics (1)
- Genomics/methods (1)
- Geometry (1)
- Geopolymer (1)
- German paper production industry (1)
- German real estate industry (1)
- German students (1)
- Germany (1)
- Gesundheit (1)
- Gesundheitsamt (1)
- Gesundheitsförderung (1)
- Gesundheitswesen (1)
- Ghanaian banks (1)
- Ghanaian entrepreneurs (1)
- Ghanaian health sector (1)
- Global Cultural Awareness (1)
- Global explanati (1)
- Glycine N-acyltransferase (1)
- Glycine conjugation (1)
- Glück (1)
- Glücksforschung (1)
- Gnu Linear Programming Kit (1)
- Government (1)
- Gradient-based explanation methods (1)
- Graph Convolutional Neural Networks (1)
- Graph embeddings (1)
- Graph theory (1)
- Graphentheorie (1)
- Grasp Domain Definition Language (1)
- Grasp Planner (1)
- Grasping (1)
- Green IT Strategies (1)
- Green Software (1)
- Green space (1)
- Group behavior analysis (1)
- Growth (1)
- Guidelines (1)
- H-BRS (1)
- HCI (1)
- HDBR (1)
- HEB mixer (1)
- HIBADH (1)
- HIBADH deficiency (1)
- HMGCL (1)
- HPV diagnostic (1)
- HS SPME (1)
- HSP70 (1)
- HSQC NMR (1)
- HTS (1)
- HTTP (1)
- Haco Tiger Brands (1)
- Haltestelle (1)
- Handzeichenerkennung (1)
- Hardware (1)
- Header whitelisting (1)
- Health Promotion (1)
- Health care consumption (1)
- Health insurance (1)
- Health promotion (1)
- Healthcare logistics (1)
- Hermetia illucens (1)
- High income countries (1)
- High temperature deformation (1)
- High temperature laser powder bed fusion (1)
- Hochschulehre (1)
- Hochschulentwicklung (1)
- Hochschulgesetz (1)
- Hochschullehre (1)
- Hochschulprofilierung (1)
- Home-Office (1)
- HomeMatic (1)
- Homeobox (1)
- Hospitality entrepreneurial skills (1)
- Hough Forests (1)
- Household management (1)
- Hubs (1)
- Human health (1)
- Human lifestyle (1)
- Human livelihood (1)
- Human orientation perception (1)
- Human review fraud detection (1)
- Human-Centered Design (1)
- Human-Centered Robotics (1)
- Human-Computer-Interaction (HCI) (1)
- Human-food interaction (1)
- Humans (1)
- Hybrid models of engineering systems (1)
- Hybrid systems (1)
- Hydrogen (1)
- Hydroxychloroquine (1)
- Hyper-parameter Tuning (1)
- Hyperalgesia (1)
- Hyperammonemia (1)
- Hypoglycemia (1)
- ICF (1)
- ICP OES (1)
- ICT Resource Consumption (1)
- ISM: molecules (1)
- ISO9999 (1)
- IT (1)
- IT performance measurement (1)
- IT project management (1)
- Illegal Wildlife Trade (1)
- Image Classification (1)
- Immersive analytics (1)
- Immune escape (1)
- Immunology* (1)
- Implementation Challenges (1)
- Implementation Model (1)
- In silico epitope prediction (1)
- In silico modelling (1)
- Incremental bond graph (1)
- Incubators (1)
- Index (1)
- Index-1 DAEs (1)
- Individual prosperity effects (1)
- Inductive Visual Miner (1)
- Information Communication Technologies (1)
- Information needs (1)
- Informations-, Kommunikations- und Medientechnologie (1)
- Informationskompetenz (1)
- Informationsqualität (1)
- Informationssystem (1)
- Ingenieurausbildung (1)
- Inhibitor (1)
- Innerstädtische Bushaltestelle (1)
- Innovation (1)
- Innovation Hubs (1)
- Innovationsmanagement (1)
- Insect diversity (1)
- Instantaneous assignment (1)
- Instantiation (1)
- Institutional Analysis and Development (IAD) framework (1)
- Institutions of Sustainability (IoS) framework (1)
- Instruction design (1)
- Instrument of Environment Law (1)
- Intact proinsulin (1)
- Integrated Household Information System (1)
- Integration (1)
- Interaction devices (1)
- Interaction effects (1)
- Interactive Artifacts (1)
- Interactive Object Detection (1)
- Interaktion (1)
- Intercultural Communication (1)
- Interdisciplinarity (1)
- Interdisciplinary research (1)
- Interdisziplinarität (1)
- Interests (1)
- Interference (1)
- Intermediaries (1)
- International Labour Organization (1)
- International students (1)
- International sustainable development (1)
- Internationale Studierende (1)
- Intervention (1)
- Interventionstudie (1)
- IoT (1)
- Ion mobility spectrometer (1)
- Ionic liquids (1)
- Isoleucine (1)
- Isovaleric acidemia (1)
- Job satisfaction (1)
- Joint Destruction (1)
- Jugendfernsehen (1)
- Jugendliche (1)
- Jugendzentrum (1)
- Julia package Differential Equations (1)
- K/BxN (1)
- KNX (1)
- Karl Fischer titration (1)
- Kaufentscheidung (1)
- Kenya Vision 2030 (1)
- Ketogenesis (1)
- Ketolysis (1)
- Kinetic theory (1)
- Klein- und Mittelbetrieb (1)
- Knowledge Worker (1)
- Knowledge co-production (1)
- Knowledge-intensive Process (1)
- Kollaboration/Kooperation (1)
- Kolmogorov-Komplexität (1)
- Kombinatorische Optimierung (1)
- Kommunalverwaltung (1)
- Kompetenz (1)
- Kompression und Zufälligkeit von Zeichenketten (1)
- Konsens (1)
- Konsum (1)
- Konsumforschung (1)
- Konsumverhalten (1)
- Kriechen (1)
- Köln (1)
- Künstliche Gravitation (1)
- Künstliche Intelligenz (1)
- LAA (1)
- LBP (1)
- LDP (1)
- LET (1)
- LFA-1 (1)
- LOTUS Sensor Node (1)
- LP-Heuristik (1)
- LSPR (1)
- LTE-U (1)
- Laboratory (1)
- Labore (1)
- Lagerlogistik (1)
- Language Engineering (1)
- Large display interaction (1)
- Large-Scale Online Services (1)
- Laserinduzierte Fluoreszenz (1)
- Lateinamerika (1)
- Lattice-Boltzmann methods (1)
- Layer-by-Layer-Beschichtung (1)
- Lean Production (1)
- Leapfrogging (1)
- Learning Culture (1)
- Learning Culture Survey (1)
- Learning and Adaptive Systems (1)
- Lebensdauervorhersage (1)
- Lebensqualität (1)
- Lebenszufriedenheit (1)
- Leg (1)
- Lehr-Lernpsychologie (1)
- Lehren (1)
- Lernen (1)
- Lernortkooperation (1)
- Lerntechnik (1)
- Lerntyp (1)
- Lernumgebung (1)
- LeuT (1)
- Leucine (1)
- Liberalization (1)
- Life Cycle Assessment (LCA) (1)
- Ligand -Receptor Interactions* (1)
- Linear viscoelasticity (1)
- Lineare Programmierung (1)
- Lineare Viskoelastizität (1)
- Liquid crystal (1)
- Liquid-liquid extraction (LLE) (1)
- Listen (1)
- LoRa (1)
- LoRa receiver accuracy (1)
- Local explanation (1)
- Local health authority (1)
- Lohngerechtigkeit (1)
- Lohntransparenz (1)
- Long-Term Autonomy (1)
- Longitudinal Study (1)
- Longley-Rice (1)
- Longley-Rice Irregular Terrain Model (ITM) (1)
- Low and middle income countries (1)
- Lymphedema (1)
- Lysosomes (1)
- MAC (1)
- MADDMultiple acyl-CoA dehydrogenase deficiency (1)
- MASLOC (1)
- MAXQDA (1)
- MBZ (1)
- MCT (1)
- MERS (1)
- MESD (1)
- METEOR score (1)
- MICA/B (1)
- MINT (1)
- MLOps Tools (1)
- MLR (1)
- MMP-9 (1)
- MOX gas sensors (1)
- MPV17 monoclonal antibody (1)
- MR (1)
- MRT-LBM (1)
- Machine learning (1)
- Machine vision (1)
- Malus genotypes (1)
- Malware (1)
- Management Consulting (1)
- Market access (1)
- Marketing practices (1)
- Markov Cluster Algorithm (1)
- Markov chain Monte Carlo (1)
- Mars (1)
- Mars environment (1)
- Mass transport (1)
- Matematiksel çerçeve (1)
- Materialwissenschaften (1)
- Mathematical frame (1)
- Mathematisch-naturwissenschaftlicher Unterricht (1)
- Maximalflussproblem (1)
- Measurement (1)
- Meat-associated Microorganisms (1)
- Mechanical properties of materials (1)
- Mechanische Prüfung (1)
- Mediendidaktik (1)
- Mengenpartitionierungsproblem (1)
- Mensch-Computer-Interaktion (1)
- Mensch-Maschine-Kommunikation (1)
- Menschenrecht (1)
- Mesenchymal stromal cells (1)
- Messplatz (1)
- Metabolic decompensation (1)
- Metabolicdecompensation (1)
- Metal hydride (1)
- Meteorological Data (1)
- Metrics (1)
- Mexican students (1)
- Microsoft (1)
- Milieu-specific differences (1)
- Mindfulness (1)
- Minimaler Schnitt (1)
- Ministerium (1)
- Miscanthus bedding (1)
- Miscanthus nagara (1)
- Miscanthus robustus (1)
- Miscanthus sinensis (1)
- Miscanthus x giganteus L. (1)
- Miscanthus-carbon (1)
- Mitochondria (1)
- Mitochondrial DNA depletion syndrome (1)
- Mixed Reality (1)
- Mixed-Reality (MR) (1)
- Mixed-methods (1)
- Mobile technologies (1)
- Mobiler Roboter (1)
- Mobilität (1)
- Model-Driven Engineering (1)
- Modellversuch (1)
- Moderation (1)
- Moldova (1)
- Molecular Dynamics (1)
- Molecular modeling (1)
- Molecular rotation (1)
- Molecular simulation (1)
- Morphologie (1)
- Mountain Biking (1)
- Mully Model of Applied Entrepreneurship Teaching (1)
- Multi-camera (1)
- Multi-object visualization (1)
- Multi-robot systems (1)
- Multidisciplinary (1)
- Multimodal Mobility (1)
- Multimodal hyperspectral data (1)
- Multiple Regression (1)
- Mxi-2 (1)
- Mädchen (1)
- N-isovalerylglycine (1)
- NAI (1)
- NBSSI (1)
- NDVI (1)
- NFκB pathway (1)
- NGS (1)
- NKG2D (1)
- NLP (1)
- NLRP3 inflammasome (1)
- NP-Vollständigkeit (1)
- NRW (1)
- NSS family (1)
- Nafion™ (1)
- Nairobi (1)
- Naive physics (1)
- Nanoparticles (1)
- Navier-Stokes equation (1)
- Navigation (1)
- Near-field synchrotron ptychographic X-ray computed tomography (1)
- Need for Privacy (1)
- Neural collision operator (1)
- Neuropathic pain (1)
- Neuroscience (1)
- Nichtmonogamie (1)
- Nichtregierungsorganisationen (1)
- Nickel-based superalloy (1)
- Nickelbasis-Superlegierung (1)
- Nigeria (1)
- Nitrosamine (1)
- Node involvement (1)
- Non-Monogamy (1)
- Non-covalent interaction MS* (1)
- Nordrhein-Westfalen (1)
- Normung (1)
- Nudging (1)
- Numerical stability (1)
- Nutzungsdaten (1)
- O3/UV (1)
- OA, organic acids (1)
- OCT (1)
- OCU (1)
- OH-number (1)
- Object Segmentation (1)
- Object detectors (1)
- Occupational safety (1)
- Ocean flow (1)
- Off-target effects (1)
- Oligodendroglioma (1)
- On-Off Keying (1)
- One Health (1)
- One Health doctoral training (1)
- One Health implementation (1)
- One health action (1)
- Online identity theft (1)
- Online-Befragung (1)
- Onlinelabore (1)
- Onlinelehre (1)
- Open Educational Resources (1)
- Open Educational Ressources (1)
- Open Innovation (1)
- Open innovation (1)
- Open source software (1)
- OpenFlow (1)
- OpenStack (1)
- Operation Research (1)
- Opinion scam (1)
- Optical Flow (1)
- Optimal functioning (1)
- Optimierungsproblem (1)
- Optimization (1)
- Optoelektronik (1)
- Orai1 (1)
- Order reduction (1)
- Ordnungssysteme (1)
- Organic acids (1)
- Organic compounds and Functional groups (1)
- Organizational Sociology (1)
- Orion (1)
- Out Of Distribution (OOD) data (1)
- Outer Space Research (1)
- P1 receptor (1)
- P2 receptor (1)
- P2P carsharing (1)
- PAD (1)
- PCR inhibitors (1)
- PD-1/CTLA-4 (1)
- PDI (1)
- PEM electrolysis (1)
- PHR (1)
- PLASM (1)
- Pakistan (1)
- Part Segmentation (1)
- Path loss model (1)
- Path-Packing (1)
- Pathogenic Bacteria (1)
- Patient serum (1)
- Pattern recognition (1)
- Patterning (1)
- Paulownia (1)
- Payment for Ecosystem Services (PES) (1)
- Peer-Coaching (1)
- Peer-Trainings (1)
- Peren Teoremi (1)
- Peren Theorem (1)
- Performance (1)
- Permeation (1)
- Peroxisomes (1)
- Persistence (1)
- Personal Health Record (1)
- Personal thermal comfort (1)
- Personalimage (1)
- Personality (1)
- Personennahverkehr (1)
- Persönlichkeit (1)
- Persönlichkeitseigenschaften (1)
- Persönlichkeitsfaktor (1)
- Persönlichkeitspsychologie (1)
- Pervasive Gaming (1)
- Phenyls (1)
- Physical activity (1)
- Picea abies (1)
- Picea pungens (1)
- Plant‐based and animal‐derived organic products (1)
- Pleiotropic drug resistance (1)
- Point Cloud Segmentation (1)
- Point Clouds (1)
- Poisson Disc Distribution (1)
- Policy instruments (1)
- Policy networks (1)
- Politikberatung (1)
- Polymorphism (1)
- Polysaccharide derivatives (1)
- Polyurethane (1)
- Populäres (1)
- Positioning (1)
- Positive Psychologie (1)
- Positive emotions (1)
- Potential (1)
- Poverty (1)
- Power (1)
- Practice Theory (1)
- Pre-punched filter paper discs (1)
- Presenteeism (1)
- Privacy patterns (1)
- Private equity (1)
- Private sector development (1)
- Pro-MINT-us (1)
- ProM (1)
- Process Mining (1)
- Process Models (1)
- Product Innovation (1)
- Program effectiveness (1)
- Program evaluation (1)
- Projektmanagement (1)
- Proof-of-Stake (1)
- Proof-of-Work (1)
- Propagation (1)
- Propensity score (1)
- Protein complex analysis (1)
- Proteome analysis (1)
- Proximity (1)
- Prozessautomatisierung (1)
- Prozessmanagement (1)
- Prozessoptimierung (1)
- Prozessorganisation (1)
- Präsentismus (1)
- Präsenzlabor (1)
- Prävention (1)
- Prüfverfahren für Displays (1)
- Psychological needs (1)
- Psychology (1)
- Pubertät (1)
- Pubertätskrise (1)
- Public Cloud Services (1)
- Public Health (1)
- Public transport (1)
- Purinergic signaling (1)
- Pyrolyse-GC/MS (1)
- Pyrolysis GC/MS (1)
- Q-Method, stakeholder perceptions (1)
- Qualitative Interviews (1)
- Qualitative Study (1)
- Qualitative interviews (1)
- Qualitative reasoning (1)
- Qualitätsaudit (1)
- Qualitätsjournalismus (1)
- Quantitative analysis of explanations (1)
- Quantitative survey (1)
- Quantum mechanical methods (1)
- Query method (1)
- R751L (1)
- RGB-D (1)
- ROPOD (1)
- RPA (1)
- RSSI (1)
- Rabies (1)
- Radfahren (1)
- Raman Spectroscopy (1)
- Raman spectroscopy (1)
- Raman-microspectroscopy (1)
- Random forest (1)
- Random number generator (1)
- Range variability (1)
- Rankings (1)
- RapidMiner (1)
- Ray tracing (1)
- Re-authentication (1)
- Real estate (1)
- Real-Time Image Processing (1)
- Reanalysis (1)
- Recommendation systems (1)
- Recommender systems (1)
- Recovery (1)
- Regeneration (1)
- Regenerative medicine (1)
- Regionalentwicklung (1)
- Regionalwirtschaft (1)
- Rehabilitation (1)
- Relationen (1)
- Relations (1)
- Relative Energies (1)
- Remote-Labor (1)
- Remote-Labore (1)
- Rendering (1)
- Renewable Energy (1)
- Reputation (1)
- Reputation systems (1)
- Requirements (1)
- Research-practice-collaborations (1)
- Resins (1)
- Responsible consumer (1)
- Return to Work (1)
- Review scam (1)
- RheoTack analysis (1)
- Risikomanagement (1)
- Risk Analysis (1)
- Robotic Process Automation (1)
- Robotic faults (1)
- Robotics (1)
- Robotics (cs.RO) (1)
- Rock dust (1)
- Rodas5 (1)
- Roleplaying Game (RPG) (1)
- Rollenspiel (1)
- Rollenspiele (1)
- Rosenbrock–Wanner methods (1)
- Rubrics (1)
- Rucksackproblem (1)
- Rural communities (1)
- SAML (1)
- SARIMA (1)
- SARS (1)
- SARS-CoV-2 (1)
- SAXS (1)
- SCNN1D (1)
- SCP (1)
- SDG 3 (1)
- SDG 4 (1)
- SEC (1)
- SEMA (1)
- SGN-35 (1)
- SHAP (1)
- SIS mixer (1)
- SLC6 (1)
- SLC6A14 (1)
- SMPA loop (1)
- SNPSTR (1)
- SOAP (1)
- SOFIA (GREAT) (1)
- STARLIFE project (1)
- STF-31 (1)
- Saccharomyces cerevisiae (1)
- Sachverständigenrat (1)
- Sahel zone (1)
- Saliency maps (1)
- Sample digestion (1)
- Sanity checks for explaining detectors (1)
- Satellite (1)
- Scale Tuning (1)
- Scan and Go (1)
- Scenarios (1)
- Scene understanding through Deep Learning (1)
- Schadensanalyse (1)
- School experiments (1)
- Schreibberatung (1)
- Schreibdidaktik (1)
- Schutzstandards (1)
- Schwindung (1)
- Science Management (1)
- Scoring (1)
- Secure Coding Practices (1)
- Segmentation (1)
- Self-assembling (1)
- Self-checkout (1)
- Self-service (1)
- Semantic Segmentation (1)
- Semantic gap (1)
- Semantic search (1)
- Semi-Lagrangian (1)
- Sensitivity matrix in symbolic form (1)
- Sensor-based (1)
- Serendipity (1)
- Service expansion (1)
- Set partition problem (1)
- Sexuality (1)
- Sexualität (1)
- Shared Economy (1)
- Shared autonomous vehicles (1)
- Shopping Experience (1)
- Short answer grading (1)
- Short tandem repeat (STR) (1)
- Side Channel Analysis (1)
- Silica gel (1)
- Silicon Carbides (1)
- Silicon Savannah (1)
- Silmitasertib (1)
- Silphium (1)
- Simulator sickness (1)
- Single family office (1)
- Skin (1)
- Skin detection (1)
- Smart Home (1)
- Social cash transfers (1)
- Social policies (1)
- Social protection (1)
- Socio-ecological systems (1)
- Soft skill (1)
- Software Acquisition (1)
- Software Architecture (1)
- Software Framework (1)
- Software Robots (1)
- Software Supply Chain (1)
- Softwareroboter (1)
- Soil health (1)
- Solar energy (1)
- Solution chemistry (1)
- Somatogravic Illusion (1)
- Soziale Integration (1)
- Space radiation (1)
- Spatial Proximity (1)
- Spatial analysis (1)
- Spatio-Temporal (1)
- Spectral Analysis (1)
- Spectral Clustering (1)
- Spectrum occupancy (1)
- Spherical Treadmill (1)
- Spill-over (1)
- Stakeholder analysis (1)
- Standortbestimmung (1)
- Start-up scene (1)
- Startup Ecosystem (1)
- Statistical Physics (1)
- Stem cell differentiation (1)
- Stem cells (1)
- Stereotyp (1)
- Steroidal saponin (1)
- Stockbild (1)
- Stockfoto (1)
- Store-operated calcium entry (1)
- Strategic Planning (1)
- Strategy (1)
- Stratified flow (1)
- Streaming <Kommunikationstechnik> (1)
- Strength (1)
- Student Administration (1)
- Student Attitudes (1)
- Student Characteristics (1)
- Student Life Cycle (1)
- Student Self-Service (1)
- Student-Centered Learning (1)
- Studienverlauf (1)
- Studierendenzentrierung (1)
- Studium (1)
- Submerge and dry protocol (1)
- Supervised classification (1)
- Sustainable Agriculture (1)
- Sustainable Business Model Canvas (1)
- Sustainable Development Goals (SDGs) (1)
- Sustainable Development Goals 2030 (1)
- Sustainable ICT Practices (1)
- Sustainable IT (1)
- Sustainable energy transition (1)
- Sweet cherry (Prunus avium L.) (1)
- Symbolbild (1)
- Symbolfoto (1)
- TEL-AML1 (1)
- THz astronomy (1)
- TNC (1)
- TOC (1)
- TV (1)
- Tap water (1)
- Targeted mass spectrometry (1)
- Task allocation (1)
- Task review (1)
- Taxi app (1)
- Taxi driver (1)
- Taxonomie (1)
- Taylor–Green vortex (1)
- Teaching Quality Pact (1)
- Technik (1)
- Technology acceptance (1)
- Temporal constraints (1)
- Terrain rendering (1)
- Therapeutic antibodies* (1)
- Thermal conductivity (1)
- Thermoplastic polyurethanes (1)
- Three-dimensional displays (1)
- Thyme (1)
- Thymian (1)
- TiO2-coatings (1)
- Time extended assignment (1)
- TinyECC 2.0 (1)
- Token (1)
- Tool (1)
- Topological reduction (1)
- Topology (1)
- Tourism Destination Development (1)
- Tourism Destination Management (1)
- Tourism education (1)
- Training Approaches (1)
- Transcription Regulation (1)
- Transdisciplinary research (1)
- Transformation Management (1)
- Translocation (1)
- Trump (1)
- Trust (1)
- Turbulence (1)
- Tvision GmbH (1)
- Two-Ray (1)
- Two-factor Authentication (1)
- U-NII band (1)
- UAV (1)
- UGV (1)
- USAR (1)
- UV (1)
- UV Absorption (1)
- UV absorbance (1)
- UV spectrum (1)
- UV-Absorption (1)
- UV-VIS (1)
- UV-vis spectroscopy (1)
- UXD (1)
- Ultrafine microstructures (1)
- Uncertainty Estimation (1)
- Unconditional basic income grant (UBIG) (1)
- Unconjugated THC-COOH (1)
- Unity (1)
- Universal health care (1)
- University IT Teaching (1)
- University of Cape Coast (1)
- University–industry linkage (1)
- Unknown parameter degradation (1)
- Unterkünfte für geflüchtete Menschen (1)
- Unternehmensgründung (1)
- Urban biodiversity (1)
- Urban bus stop (1)
- Urban health (1)
- Usability (1)
- Used engine oil (1)
- User Experience (1)
- User Interface Design (1)
- User experience design (1)
- User-Centered Design (1)
- User-Computer Interface (1)
- User-centered privacy engineering (1)
- User-perspective (1)
- VGG-16 (1)
- VOSviewer (1)
- VR (1)
- VR-based systems (1)
- Vacation (1)
- Validation (1)
- Valproic acid (1)
- Value-Added Chain (1)
- Vascular Smooth Muscle Cells (1)
- Vegetation (1)
- Verhalten (1)
- Verhaltensökonomie (1)
- Verkapselung (1)
- Verkehrserziehung (1)
- Verkehrsnetz (1)
- Verkehrsnetzwerke (1)
- Verteilnetzbetriebsführung (1)
- Verteilnetzbetriebsführung, (1)
- Verzug (1)
- Vibrational microspectroscopy (1)
- Videospiel (1)
- Videospieljournalismus (1)
- Vietnam (1)
- View selection (1)
- Vim3 (1)
- Visceral lipid tissue (1)
- Vision Transformer (ViT) (1)
- Visual Computing (1)
- Visually induced motion sickness (1)
- Vocational re-training (1)
- Voice Assistants (1)
- Voltage measurement (1)
- Vorgehensmodell (1)
- WAXS (1)
- WZB117 (1)
- Wang-tiles (1)
- Web (1)
- Web scrapping (1)
- Weibliche Führungskräfte (1)
- Weltraumforschung (1)
- Werte (1)
- Westdeutscher Rundfunk (1)
- Whole genome amplification (1)
- Wi-Fi (1)
- WiFi (1)
- WiFi-based Long Distance (WiLD) (1)
- Wild Type Mouse (1)
- Wildlife Forensics (1)
- Winery (1)
- Wireless Sensor Network (1)
- Wireless backhaul (1)
- Wirkstofffreisetzung (1)
- Wissenschaftler (1)
- Wissenschaftliches Arbeiten (1)
- Wissensorganisation (1)
- Wissenstransfer (1)
- Wohlbefinden (1)
- Work-Life-Balance (1)
- Work-life-balance (1)
- Workflow (1)
- Workflow Management (1)
- Workload (1)
- Work‐life balance (1)
- X-STR (1)
- X-ray powder diffraction (XRD) (1)
- XGBoost (1)
- XML Signature (1)
- XML Signature Wrapping (1)
- XR (1)
- XRD (1)
- Y-STR (1)
- YAWL (1)
- Yeast (1)
- Young adults (1)
- ZWave (1)
- Zeitreihenanalyse (1)
- Zeitschriften (1)
- Zentrifuge (1)
- ZigBee (1)
- Zitatenanalyse (1)
- Zivilgesellschaft (1)
- Zufriedenheit (1)
- Zytokin-induzierte Killerzellen (1)
- ability to study (1)
- accelerated iron ions (1)
- acceptance (1)
- acetoacetic acid (1)
- acetone (1)
- acidic ethanosolv (1)
- actin (1)
- actinometry (1)
- adaptive capacity (1)
- adaptive trigger (1)
- adhesion factor (1)
- adoption (1)
- advanced applications (1)
- aerogels (1)
- aerosol (1)
- affective rumination (1)
- agarose (1)
- agriculture (1)
- airborne (1)
- airborne astronomy (1)
- alkyl amines (1)
- allosteric communication (1)
- altered mitochondrial homeostasis (1)
- ambiguity (1)
- amelogenesis (1)
- amino acid transporter (1)
- ammonia (1)
- amplicon sequencing (1)
- anabolic (1)
- analisis faktor eksploratori (1)
- analog/digital signal processing (1)
- analytical redundancy relation residuals (1)
- anaplastic lymphoma kinase (1)
- annotation (1)
- ansiedad matemática (1)
- ansiedade matemática (1)
- antibiotic prophylaxis (1)
- antibody–drug conjugate (1)
- antiradical activity (1)
- apoptosis (1)
- apple replant disease (ARD) (1)
- ash (1)
- assistive robotics (1)
- assistive robots (1)
- astrobiology (1)
- atmospheric aerosol (1)
- atomistic models (1)
- attitude-behavior gap for sustainability (1)
- attitude-behaviour-gap (1)
- audiovisual stimulation (1)
- augmented reality (1)
- authentication (1)
- authoring (1)
- authoring tools (1)
- autism spectrum disorders (1)
- autohydrolysis (1)
- autologous bone graft (1)
- automated electrophysiology (1)
- automatic measurement validation (1)
- automatic music generation (1)
- automation of sample processing (1)
- automatisierte Netzwerkgenerierung (1)
- autonomy (1)
- autostereoscopic (1)
- averaged bond graph models (1)
- azadipeptide nitrile (1)
- bagasse (1)
- bdelloid rotifer (1)
- beaching (1)
- behavior and cognition (1)
- benchmarking (1)
- berufliche Bildung (1)
- biaxial stretching (1)
- bicausal diagnostic Bond Graphs (1)
- binary classification (1)
- bio-innovation (1)
- biochemical fingerprinting (1)
- biocomposite (1)
- biofilm removal (1)
- biofilm-related infections (1)
- bioinformatics (1)
- biomarker (1)
- biopolymer (1)
- bio‐based (1)
- black fungi (1)
- blebbistatin (1)
- blood vessel (1)
- bloodstream infections (1)
- blow molding (1)
- blown film (1)
- blown film extrusion (1)
- body shape nudge (1)
- bond graph modelling (1)
- bond graphs (1)
- bond-graph-based physical systems modelling (1)
- bone (1)
- bone mineral density (1)
- bone remodeling (1)
- bootstrapping (1)
- boxing (1)
- branched-chain amino acids (1)
- branding (1)
- breast cancer (1)
- breast carcinoma (1)
- brilliant green (1)
- building automation (1)
- built environment (1)
- business management principles (1)
- cafeteria setting (1)
- camera (1)
- cancer biomarker (1)
- cancer treatment (1)
- cannabidiol, immunotherapy (1)
- capture and storage (1)
- carbon dioxide (1)
- career entry (1)
- case study (1)
- case study methodology (1)
- cash transfers (1)
- cash transfers (CT) (1)
- caspase (1)
- catabolic (1)
- cattle slurry (1)
- cell death (1)
- cell division (1)
- cell harvesting (1)
- cell viability (1)
- cementogenesis (1)
- chaetocin (1)
- chain extenders cross-linker (1)
- chain extending cross-linker (1)
- chain-extending cross-linker (1)
- change process (1)
- changes in creativity (1)
- chemosensing (1)
- chiral-nematic (1)
- chitosan (1)
- cholesteric liquid crystals (1)
- cholesteric phase (1)
- classical dance (1)
- clear cell renal cell carcinoma (1)
- climate adaptation (1)
- clinical study (1)
- clinical trials (1)
- clonality patterns (1)
- closed kinematic chain (1)
- co-creation for sustainability (1)
- coaxial electrospinning (1)
- coffee ring effect (1)
- cognitive radio (1)
- collagen (1)
- collision (1)
- combination of treatments (1)
- competence (1)
- composites (1)
- conceptual framework (1)
- condensation (1)
- conditional cash transfer (CCT) (1)
- conditionality and targeting (1)
- conformations (1)
- coniferous woods (1)
- constraint relaxation (1)
- constraints (1)
- consumer behavior for sustainability (1)
- consumer behaviour (1)
- consumer decision models (1)
- consumer research (1)
- consumption expenditure (1)
- consumption shifting (1)
- control (1)
- control architectures (1)
- controller design (1)
- convex optimization (1)
- convolutional neural networks (1)
- cooperative learning (1)
- core-sheath fibers (1)
- corona-pandemic (1)
- corporate social responsibility (1)
- cosmic rays (1)
- creativity (1)
- creep compliance (1)
- crisis response (1)
- cross-linking (1)
- crystal violet (1)
- crystallinity (1)
- cube in cube model (1)
- cultural differences (1)
- cultural diversity (1)
- cyanohydrazide warhead (1)
- cysteine proteases (1)
- cysticfibrosis (1)
- cytoskeleton (1)
- data analysis (1)
- data base search (1)
- data glove (1)
- data inadequacy (1)
- data literacy (1)
- data management (1)
- data science (1)
- data science canvas (1)
- database (1)
- database systems (1)
- deformation behavior (1)
- degraded DNA (1)
- degree of disintegration (1)
- delivery (1)
- delta-subunit (1)
- demethylation (1)
- demi-plié (1)
- dental implant (1)
- dental stem cells (1)
- dental stem cells immortalization (1)
- dentinogenesis (1)
- dentogenesis (1)
- depolymerization (1)
- derivative-free optimization (1)
- desert cyanobacteria (1)
- design (1)
- design science research (1)
- detaching (1)
- developed market (1)
- developing country (1)
- development (1)
- devolution (1)
- diagnosis and management (1)
- diagnostic (1)
- diagnostic bond graphs (1)
- diagnostik (1)
- diferencias culturales (1)
- diferenças culturais (1)
- differential algebraic equation systems (1)
- differentiation (1)
- diffusion (1)
- digital competence (1)
- digital learning (1)
- digital manufacturing (1)
- digitale Kompetenz (1)
- digitale Lehre (1)
- digitale internationale Kooperation (1)
- directional antennas (1)
- disintegration kinetics (1)
- display measurement (1)
- dissolved ozone (1)
- doctoral students (1)
- domain-specific language (1)
- drivers (1)
- drug delivery (1)
- drug release materials (1)
- drugs (1)
- dual action model (1)
- duty ratio (1)
- dynamics (1)
- e-Research (1)
- e-banking transaction (1)
- eSports (1)
- eXplainable artifcial intelligence (XAI) (1)
- ease (1)
- eating behavior (1)
- eco-certification (1)
- eco-products (1)
- economic culture (1)
- economic sector (1)
- ecosystem services (1)
- education (1)
- education for sustainable development (1)
- efikasi diri (1)
- electrical bicycle drive unit (1)
- electroless copper deposition (1)
- electrospinning (1)
- elementary volume (1)
- elite sports (1)
- emerging market (1)
- emerging markets (1)
- emotion recognition (1)
- employee privacy (1)
- encapsulation (1)
- endoplasmic reticulum (ER) stress (1)
- endoscopy (1)
- endothelial cell (1)
- endothelial cell differentiation (1)
- endothelial cells (1)
- energy (1)
- energy awareness (1)
- energy infrastructures (1)
- energy saving (1)
- energy system analyses (1)
- energy system modeling (1)
- engaged university (1)
- entrepreneurial interest (1)
- entrepreneurial journey (1)
- entrepreneurship development (1)
- entrepreneurship education (1)
- environmental certification (1)
- environmental impact analysis (1)
- enzyme activity (1)
- epithelial sodium channel (1)
- epitope mapping (1)
- estudantes alemães (1)
- estudantes mexicanos (1)
- estudiantes alemanes (1)
- estudiantes mexicanos (1)
- ethical values (1)
- eudaimonic well-being (1)
- evaluation (1)
- evaluation as a mean to communication (1)
- exon fusion (1)
- expenditure patterns (1)
- experimental design (1)
- expert (1)
- explainable AI (1)
- explorative factor analysis (1)
- external faults (1)
- extraction-linked bias (1)
- extrusion blow molding (1)
- eye movement (1)
- eye tracking (1)
- fachübergreifende Lehrangebote (1)
- facial emotion recognition (1)
- facial expression recognition (1)
- factor analysis (1)
- failure (1)
- failure prognostic (1)
- far-infrared astronomy (1)
- farmers’ drivers (1)
- farmers’ heterogeneity (1)
- fasentin (1)
- fatty acid metabolism (1)
- fault indicators (1)
- fault scenarios (1)
- fault detection (1)
- feature (1)
- feature selection (1)
- fertiliser from Miscanthus (1)
- fertilizer (1)
- fiber composites (1)
- fiducial marker (1)
- field study (1)
- financial technology (1)
- fingerprint (1)
- first position (1)
- fitness-fatigue model (1)
- fixed causalities generation of analytical redundancy relations (1)
- flexibility (1)
- fluorinated salts (1)
- food contact material (1)
- food losses (1)
- food safety (1)
- food-related bacteria (1)
- force field parameterization (1)
- forecast (1)
- forensic (1)
- forensic genetics (1)
- formulation (1)
- foveated rendering (1)
- freedom (1)
- frugal innovation (1)
- fruits, vegetables and potatoes (1)
- fuel cell (1)
- fully superconducting generator (1)
- fungal and bacterial amplicon sequencing (1)
- gas sensor (1)
- gas turbine blade (1)
- gas-to-power (1)
- gaze (1)
- gene expression (1)
- generation Z (1)
- generational cohort (1)
- generative adversarial network (1)
- genomic characterization of BSI (1)
- genomic data (1)
- genotype (1)
- genotype-phenotype correlation (1)
- geopolymer (1)
- geopolymer foam (1)
- geschlechtsspezifische Faktoren (1)
- geschlechtsspezifische Sozialisation (1)
- girl marriages (1)
- global social policy (1)
- glucose uptake inhibitor (1)
- grasp motions (1)
- grasping (1)
- grass-based pulp (1)
- grating reconstruction (1)
- gravito-inertial force (1)
- greenhouse bio-test (1)
- growth factors (1)
- guidelines (1)
- habitability (1)
- halogen bonding (1)
- hand speed (1)
- harvest prediction (1)
- head down bed rest (1)
- health (1)
- health education (1)
- health policy (1)
- health-promoting collaboration (1)
- healthcare-associated infections (HAI) (1)
- healthy behavior (1)
- healthy eating (1)
- heart rate control (1)
- heart rate modeling (1)
- heart rate prediction (1)
- heavy ion particle (HZE) radations (1)
- helical twisting power (1)
- heterocyclic (1)
- heterodyne spectroscopy (1)
- high degree of diagnostic coverage and reliability (1)
- high diagnostic coverage and reliability (1)
- high dynamic range resistance readout (1)
- high resolution spectroscopy (1)
- high-sensitivity C-reactive protein (hsCRP) (1)
- high-throughput DNA sequencing (1)
- high-throughput qRT-PCR (1)
- high-throughput sequencing (1)
- histone deacetylase inhibitors (1)
- homeostatic model assessment (HOMA) (1)
- homo oeconomicus (1)
- hospital environment (1)
- hospital-acquired infections (1)
- human cathepsins (1)
- human microbiome (1)
- human wellbeing (1)
- hybrid dynamics solver (1)
- hybrid system (1)
- hydrides (1)
- hydrogen (1)
- hydrogen bonding (1)
- hydrogen economies (1)
- hydrogen infrastructures (1)
- hydroxyapatite (1)
- hydroxypropylmethylcellulose (1)
- hypertension (1)
- hypoxia (1)
- iPSCs (1)
- ideal switches (1)
- illusion (1)
- image captioning (1)
- immediate effects (1)
- immersive Visualisierung (1)
- immune checkpoint inhibition programmed cell death-1 (1)
- impact (1)
- impact monitoring (1)
- implementation (1)
- impregnation-reduction (1)
- in-campus internships (1)
- incentives (1)
- inclusive development (1)
- indicators calculation (1)
- indirect rebound effects (1)
- industrial robots (1)
- industry forces (1)
- infection prevention (1)
- informal institutions (1)
- information sharing (1)
- informational self-determination (1)
- infrared pattern (1)
- infrared spectroscopy (1)
- inherited metabolic disease (1)
- injection moulding (1)
- innovation (1)
- insect protection (1)
- instance segmentation (1)
- institutional analysis (1)
- instructional supervisor (1)
- insulin resistance (1)
- intact proinsulin (1)
- integration (1)
- integration governance (1)
- integrative Simulation (1)
- integrative simulation (1)
- intelligente Agenten (1)
- intelligente virtuelle Agenten (1)
- interaction (1)
- interaction design (1)
- interactive computer graphics (1)
- intercultural (1)
- intercultural comparisons (1)
- intercultural management (1)
- interdisciplinary virtual exchange (1)
- interface design (1)
- interference (1)
- intergenerational equity (1)
- interkulturell (1)
- international entrepreneurship (1)
- international labour standards (1)
- internet banking (1)
- internships (1)
- interview (1)
- invasion (1)
- ionic polymer metal (1)
- irradiance (1)
- irritation (1)
- isolation (1)
- isoleucine (1)
- jab (1)
- job and wealth creation (1)
- kesehatan kerja (1)
- ketolysis (1)
- ketone body synthesis (1)
- klarzelliges Nierenzellkarzinom (1)
- knowledge graphs (1)
- knowledge transfer (1)
- land use (1)
- land use dilemma (1)
- land use trilemma (1)
- language (1)
- large-high-resolution displays (1)
- latent class analysis (1)
- leaning-based interfaces (1)
- leapfrog (1)
- learning experience (1)
- learning traces (1)
- leave (1)
- leishmaniasis (1)
- leucine (1)
- leucine degradation (1)
- libertarian paternalism (1)
- libertärer Paternalismus (1)
- life on Mars (1)
- lignin structure analysis (1)
- lignocellulosic feedstock (1)
- line: identification (1)
- linkage strategy (1)
- liquid crystal (1)
- liquid crystals (1)
- literature manual curation (1)
- load control (1)
- load forecasting (1)
- local administration (1)
- local context (1)
- local political economy (1)
- locomotion interface (1)
- logistics (1)
- long interspersed nuclear element-1 (1)
- long-distance 802.11 (1)
- long-distance modeling (1)
- long-wave infrared (1)
- longitudinal (1)
- low molecular weight (1)
- low power (1)
- low-level laser therapy (1)
- machine learning (1)
- magnetic hyperthermia (1)
- magnetic nanoparticles (1)
- manure (1)
- massive parallel sequencing (1)
- mastery (1)
- mathematical and numerical algorithms and methods (1)
- mathematical modeling (1)
- mathematics anxiety (1)
- maturity index (1)
- measuring station (1)
- mebendazole (1)
- mechanical properties (1)
- mechanical testing (1)
- medium voltage insulation (1)
- mental models (1)
- mesenchymal stem cell (1)
- mesogens (1)
- metabolically active cells (1)
- metal-oxide-semiconductor gas sensors (1)
- methodical limits of LCA (1)
- methylmalonic acidaemia (1)
- methylmalonic acidemia (1)
- miR-15 (1)
- miR-498 (1)
- microbial community structure (1)
- microbial contamination (1)
- microbial ecology (1)
- microbiome (1)
- microbiome analyses (1)
- micromanipulation (1)
- micromobility (1)
- microplastic (1)
- microsatellite instability (1)
- migration (1)
- mitochondrial biogenesis (1)
- mixed method approach (1)
- mixed methods (1)
- mixed methods approach (1)
- mixed methods study (1)
- mobile manipulators (1)
- mobility assistance system (1)
- mode-dependent implicit state space model (1)
- mode-switching linear time-invariant models (1)
- model exchange (1)
- modelling method (1)
- modelling methodology (1)
- models (1)
- moderator variable (1)
- molecular data (1)
- molecular docking (1)
- molecular dynamics simulations (1)
- molecular epidemiology of BSI (1)
- molecular mass degradation (1)
- molecular motor (1)
- molecular pathology (1)
- molecular processes (1)
- molecular simulations (1)
- monoclonal antibody (1)
- morphology (1)
- motion capture (1)
- mouse model (1)
- multi-body dynamic simulation (1)
- multi-channel power sourcing (1)
- multi-disciplinary approach (1)
- multi-drug response (1)
- multibody system (1)
- multibond graphs (1)
- multiple case study (1)
- multiple myeloma (1)
- multivariate data analysis (1)
- multivariate statistics (1)
- municipality (1)
- music analysis (1)
- myogenesis (1)
- nanomedicine (1)
- natural fiber (1)
- natural language processing (1)
- nature (1)
- nature-protected areas (1)
- navigational search (1)
- near infrared (1)
- negative work reflection (1)
- neoexpression (1)
- network (1)
- neue Geschäftsmodelle (1)
- neue Technologie (1)
- neural network (1)
- neuroendocrine (1)
- neuromorphic processing (1)
- new business start-ups (1)
- new product (1)
- next generation sequencing (1)
- nitrile inhibitors (1)
- nitrogen dioxide (1)
- noise, vibration, and harshness (1)
- non-apoptotic roles (1)
- non-governmental organisations (1)
- non-small cell lung cancer (1)
- non-woven fiber mats (1)
- nondestructive examination (1)
- nosocomial infections (1)
- nudge (1)
- nudge acceptance (1)
- nudge awareness (1)
- nudgeability (1)
- nudging (1)
- numerical computation of residuals (1)
- nutrient germinants (1)
- object detection (1)
- object-oriented modelling (1)
- occupational e-mental health (1)
- occupational health (1)
- odds-weighted regression (1)
- odontogenic cells (1)
- off-job crafting (1)
- online collaboration (1)
- ontology (1)
- open educational resources (OERs) (1)
- operando Raman spectroscopies (1)
- operation mode independent causalities (1)
- optical character recognition (1)
- optical characterization (1)
- optical coherence tomography (1)
- optical sensor (1)
- optical tracking (1)
- optimized geometries (1)
- optoelectronics (1)
- oral history (1)
- organic N fertiliser (1)
- organic acid analysis (1)
- organic food (1)
- organisational sociology (1)
- organizational policy (1)
- organoids (1)
- organosolv lignin (1)
- orthotropes prozessabhängiges Materialverhalten (1)
- orthotropic process-dependent material behavior (1)
- osteogenic potential (1)
- osteoporosis (1)
- outer space (1)
- overcommitment (1)
- ozonation (1)
- ozone (1)
- p27 (1)
- pancreatic cancer (1)
- panspermia (1)
- parameter estimation (1)
- parameter sensitivity of residuals (1)
- parcel logistics (1)
- partial squares regression (1)
- participation (1)
- particulate composite (1)
- patent (1)
- pathogen control (1)
- pathogenic microorganisms (1)
- pathophysiology (1)
- pause (1)
- peer training (1)
- peer-coaching (1)
- peptide sequencing (1)
- perceived quality (1)
- perception of upright (1)
- performance and training (1)
- performance measure (1)
- performance modeling (1)
- performance prediction (1)
- perilaku hidup sehat (1)
- permanent magnet synchronous generator (PMSG) (1)
- person and object detection and recognition (1)
- personal orientation (1)
- personality (1)
- phenomenological approaches (1)
- photocatalysis (1)
- photolysis (1)
- photostabiliser (1)
- photovoltaic (1)
- physical exercise (1)
- physiological measure (1)
- phytoalexins (1)
- pilot project (1)
- pipeline transport (1)
- planetary protection (1)
- plant-based and animal-derived organic products (1)
- plastic manufacturing (1)
- plastic pollution (1)
- policy networks (1)
- political economy (1)
- politics (1)
- polybutylene adipate terephthalate (1)
- polylactic acid (1)
- polymers (1)
- polyphenols (1)
- polysaccharide (1)
- polyurethane coatings (1)
- positive work reflection (1)
- posture analysis (1)
- potentiometric sensors (1)
- power converter (1)
- power electronic systems (1)
- power industry (1)
- power rectifier (1)
- power spectrum (1)
- power stroke (1)
- practical skills (1)
- practitioners (1)
- predictive maintenance (1)
- preference migration (1)
- prehensile motions (1)
- presentation attack detection (1)
- presentation attack detection (PAD) (1)
- pressure sensitive adhesives (1)
- prevention (1)
- primary airway epithelial cells (1)
- primates (1)
- principal component analysis (1)
- prioritizable ranking (1)
- privacy at work (1)
- proanthocyanidins (1)
- probiotic cleaning (1)
- probiotic-based cleaning formulations (1)
- process (1)
- process parameters (1)
- process-induced morphology (1)
- proliferation (1)
- propensity score matching (1)
- propionic acidaemia (1)
- propionic acidemia (1)
- prospects and challenges (1)
- protease inhibitor (1)
- protection standards (1)
- protein microarray (1)
- prototype apparatus (1)
- prototyping (1)
- pseudo-random number generator (1)
- pseudogene (1)
- psychology (1)
- psychophysics (1)
- punch (1)
- purinergic receptor (1)
- purinergic receptors (1)
- qNMR (1)
- qualitative empirical research (1)
- qualitative research (1)
- qualitatives Interview (1)
- quantitative model-based fault detection (1)
- question answering (1)
- questionnaire (1)
- radioresistance (1)
- rapid prototyping tool (1)
- rebound effects (1)
- receivers (1)
- recovery from work (1)
- recovery intervention (1)
- refugee accommodation (1)
- region of interest (1)
- regional development (1)
- reinforcement learning (1)
- relevance assessment (1)
- remaining useful life (1)
- remittances (1)
- renal cancer (1)
- renal cell carcinoma (1)
- renal tubular cells (1)
- repeated trend projection (1)
- replica (1)
- representation learning (1)
- residual bond graph sinks (1)
- residual sinks (1)
- resilience (1)
- resilience planning (1)
- resistance (1)
- resistance genes (1)
- responsible consumer (1)
- rest break (1)
- retraction speed dependency (1)
- reuse of indicators (1)
- reverse innovation (1)
- risk taking (1)
- risk-taking (1)
- road (1)
- robot behaviour model (1)
- robot control (1)
- robot dynamics (1)
- robot personalisation (1)
- robotic arm (1)
- robotic evaluation (1)
- rock powder (1)
- rodent (1)
- rodents (1)
- routing (1)
- rural areas (1)
- rural development (1)
- rural entrepreneurship (1)
- satisfaction with life (1)
- scene-segmentation (1)
- scenes (1)
- science (1)
- scratch assay (1)
- seed coat (1)
- self-determination theory (1)
- self-efficacy (1)
- self-evidence (1)
- self-report measure (1)
- selfefficacy (1)
- semantic mapping (1)
- semantic technologies (1)
- semi-structured questionnaire (1)
- sensemaking (1)
- sensor array (1)
- sensor resilience (1)
- sensory characterisation (1)
- sentiment analysis (1)
- sequencing (1)
- sexual assault (1)
- shared autonomous vehicles (1)
- short tandem repeat (1)
- short tandem repeat (STR) (1)
- silicate (1)
- simulation (1)
- simulation and modeling (1)
- simulation exercises (1)
- simulation of fault scenarios (1)
- simulation process (1)
- sirtuins (1)
- size exclusion chromatography (1)
- slope based signature (1)
- small molecule (1)
- smartphone-based intervention (1)
- smooth muscle cell (1)
- smooth muscle cell differentiation (1)
- smoothing procedures (1)
- social Innovation (1)
- social activities (1)
- social cash transfers (1)
- social exchange theory (1)
- social media (1)
- social protection (1)
- social security (1)
- socially engaged university (1)
- sodium self-inhibition (1)
- software engineering (1)
- software-defined networking (1)
- soil properties (1)
- sol-gel support (1)
- solar power (1)
- solute carrier (1)
- solvent exchange (1)
- space flight analog (1)
- space radiation environment (1)
- sparse grids (1)
- spatial orientation (1)
- spatial updating (1)
- speaking (1)
- spectrum scan (1)
- spectrum sensing (1)
- speech emotion recognition (1)
- speech understanding (1)
- sperm cell (1)
- spinal posture (1)
- spore resistance (1)
- sporegermination (1)
- stabilisation (1)
- stabiliser (1)
- stakeholder analysis (1)
- stakeholder communication (1)
- static friction (1)
- staurosporine (1)
- stem cell (1)
- structural biology (1)
- structural coloration (1)
- structural dynamics (1)
- structural equation modeling (1)
- structure (1)
- sub-Sahara Africa (1)
- subjective visual vertical (1)
- submillimeter-wave technology (1)
- success (1)
- superconducting devices (1)
- supercritical drying (1)
- supply chain management (1)
- support agencies (1)
- supramolecular liquid crystals (1)
- surface modification (1)
- surface sanitization (1)
- surrogate endpoint (1)
- susceptibility (1)
- sustainability and innovation (1)
- sustainability planning (1)
- sustainability-oriented behavior (1)
- sustainability-oriented innovation (1)
- sustainable business models (1)
- sustainable development (1)
- sustainable food systems (1)
- sway (1)
- sweet sorghum (1)
- switched three-phase power inverter (1)
- synchronous generator (1)
- synergistic effect (1)
- system mode independent bond graph representation (1)
- systemic regional innovation (1)
- task models (1)
- taxonomie (1)
- technology (1)
- technology mapping (1)
- technology threat avoidance theory (1)
- teleoperation (1)
- temperature control (1)
- temperature influence (1)
- text detection (1)
- text localization (1)
- text mining (1)
- textual model description languages (1)
- thermal imaging (1)
- thermal insulation material (1)
- thermal insulation materials (1)
- thermo-mechanical properties (1)
- thermophoresis (1)
- thermosensing (1)
- thin film (1)
- third mission (1)
- time series analysis (1)
- tools for education (1)
- total phenolic content (1)
- trace model (1)
- trace-based system (1)
- traditional authorities (1)
- traffic data (1)
- traffic sign detection (1)
- traffic sign localization (1)
- training monitoring (1)
- training performance relationship (1)
- transaction costs (1)
- transcriptional regulation (1)
- transdisciplinary teaching (1)
- transfer office (1)
- transformative effects (1)
- transient kinetics (1)
- transient receptor potential vanilloid Type 2 (1)
- transmission phase gratings (1)
- travel mode choice (1)
- triacetone triperoxides (1)
- triiodothyronine (1)
- triphenylmethane dyes (1)
- triple helix (1)
- triple win (1)
- true random number generator (1)
- tumor diagnosis (1)
- tunable pitch (1)
- tunable sheet resistance (1)
- tungsten oxides (1)
- two-electrode voltage clamp (1)
- two-photon polymerization (1)
- type 2 diabetes (1)
- uncertainties (1)
- unconditional cash transfers (UCT) (1)
- unfolded protein response (UPR) (1)
- uniaxial stretching (1)
- university of applied sciences (1)
- university performance (1)
- university–government relations (1)
- urban development (1)
- urban food strategy (1)
- urban food supply (1)
- urban planning (1)
- urbane Mobilität (1)
- usable privacy controls (1)
- user input (1)
- user interaction (1)
- user modelling (1)
- user preferences (1)
- user study (1)
- vacations (1)
- valine degradation (1)
- values (1)
- vestibular system (1)
- vibration (1)
- virtual reality, XR (1)
- virtuelle und hybride Mobilität (1)
- virulence factors (1)
- visual attention (1)
- vocational education (1)
- volatile organic compound (VOC) sensing (1)
- warpage (1)
- waste water treatment (1)
- wearable sensor (1)
- wearable sensors (1)
- wearable technology (1)
- weight perception (1)
- whole genome amplification (WGA) (1)
- whole-tooth regeneration (1)
- wind energy (1)
- wind energy conversion systems (WECS) (1)
- wine business (1)
- wine marketing (1)
- wireless mesh networks (1)
- work ability (1)
- work break (1)
- work-place psychology (1)
- work-related rumination (1)
- working environment (1)
- workplace health promotion (1)
- wound healing assay (1)
- writing (1)
- xorshift-generator (1)
- yin-yang effect (1)
- zona pellucida protein 2 ZP2 (1)
- Öffentliche Beschaffung (1)
- Öffentliche Gesundheit (1)
- Öffentliche Verwaltung (1)
- Öffentlicher Personennahverkehr (1)
- öffentlich-rechtlich (1)
- İnsani geçim (1)
- β-amino acids (1)
- β-catenin (1)
- β-cell dysfunction (1)
- κ-Carrageen (1)
- “Big Four” agenda (1)
- DRAMMA model (1)
- integrative needs model of crafting (1)
- leisure crafting (1)
- needs satisfaction (1)
- needs-based (1)
- optimal functioning (1)
- validation (1)
Interne Audits können mehr
(2024)
Dieser Beitrag zeigt, wie das Deutsche Zentrum für Luft- und Raumfahrt e. V. (DLR) Zufriedenheitsanalysen aus zwei Sichtweisen durchführt: Aus Sicht der Auditoren und aus Sicht der Managementbeauftragten der auditierten Institute und Einrichtungen. Die Ergebnisse fließen in die jährliche Auditprogrammplanung ein. Damit wird der Nutzen von internen Audits gesteigert.
Projekte des maschinellen Lernens (ML), insbesondere im Bereich der Zeitreihenanalyse, gewinnen heute zunehmend an Bedeutung. Die Bereitstellung solcher Projekte in einer Produktionsumgebung mit dem gleichen Automatisierungsgrad wie bei klassischen Softwareprojekten ist ein komplexes Unterfangen. Die Umsetzung in Produktionsumgebungen erfordert neben klassischen DevOps auch Machine Learning Operation (MLOps) Technologien und Werkzeuge. Ziel dieser Studie ist es, einen umfassenden Überblick über verfügbare MLOps Tools zu bieten und einen spezifischen Techstack für Zeitreihen ML Projekte zu entwickeln. Es werden aktuelle Trends und Werkzeuge im Bereich MLOps durch eine multivokale Literaturrecherche (MLR) untersucht und analysiert. Die Studie identifiziert passende MLOps Werkzeuge und Methoden für die Zeitreihenanalyse und präsentiert eine spezifische Implementierung einer MLOps Pipeline für die Aktienkursprognose des S&P 500. MLOps und DevOps Tools nehmen eine essenzielle Rolle bei der effektiven Konstruktion und Verwaltung von ML Pipelines ein. Bei der Auswahl geeigneter Werkzeuge ist stets eine spezifische Anpassung an die jeweiligen Projektanforderungen erforderlich. Die Bereitstellung einer detaillierten Darstellung der aktuellen MLOps Tool Landschaft erweist sich hierbei als wertvolle Ressource, die es Entwicklern ermöglicht, die Effizienz und Effektivität ihrer ML Projekte zu optimieren.
Integrating physical simulation data into data ecosystems challenges the compatibility and interoperability of data management tools. Semantic web technologies and relational databases mostly use other data types, such as measurement or manufacturing design data. Standardizing simulation data storage and harmonizing the data structures with other domains is still a challenge, as current standards such as the ISO standard STEP (ISO 10303 ”Standard for the Exchange of Product model data”) fail to bridge the gap between design and simulation data. This challenge requires new methods, such as ontologies, to rethink simulation results integration. This research describes a new software architecture and application methodology based on the industrial standard ”Virtual Material Modelling in Manufacturing” (VMAP). The architecture integrates large quantities of structured simulation data and their analyses into a semantic data structure. It is capable of providing data permeability from the global digital twin level to the detailed numerical values of data entries and even new key indicators in a three-step approach: It represents a file as an instance in a knowledge graph, queries the file’s metadata, and finds a semantically represented process that enables new metadata to be created and instantiated.
Angesichts der raschen Entwicklungen und der Besonderheiten von Softwaresystemen, welche Künstliche Intelligenz (KI) nutzen, ist ein angepasstes Requirements Engineering (RE) erforderlich. Die spezifischen Anforderungen von KI-Projekten müssen dabei erkannt und angegangen werden. Hierfür wird eine systematische Überprufung bestehender Herausforderungen des RE in KI-Projekten durchgeführt. Darauf aufbauend werden neue RE-Ansätze und Empfehlungen präsentiert, die auf die Datensicht von KI-Projekten abzielen. Mithilfe der Analyse bestehender Lösungsansatze, Methoden, Frameworks und Tools soll aufgezeigt werden, inwiefern die Herausforderungen im RE bewältigt werden können. Noch bestehende Lücken im Forschungsstand werden identifiziert und aufgezeigt.
The Information and Communication Technology (ICT) sector is a significant global industry, and addressing climate change is of critical importance. This paper aims to assess the resources utilized by the ICT sector, the associated negative environmental impacts, and potential mitigation measures. In order to understand these aspects, this study attempts to categorize the resources used by ICT, analyze the amount consumed and the resulting negative impacts, and determine what measures exist to mitigate them. An economic and empirical evaluation shows a negative trend in ICT’s resource consumption, mainly due to increased energy consumption and rising carbon emissions from devices such as smartphones and data centers. The investigated countermeasures focus on Green IT strategies that encompass energy efficiency, carbon awareness, and hardware efficiency principles as outlined by the Green Software Foundation. Special attention is given to reducing the environmental footprint of data center operations and smartphones. This paper concludes that Green IT strategies, although promising in theory, are often not implemented at an industry level.
Accurate global horizontal irradiance (GHI) forecasting is critical for integrating solar energy into the power grid and operating solar power plants. The Weather Research and Forecasting model with its solar radiation extension (WRF-Solar) has been used to forecast solar irradiance in different regions around the world. However, the application of the WRF-Solar model to the prediction of GHI in West Africa, particularly Ghana, has not yet been investigated. The aim of this study is to evaluate the performance of the WRF-Solar model for predicting GHI in Ghana, focusing on three automatic weather stations (Akwatia, Kumasi and Kologo) for the year 2021. We used two one-way nested domains (D1 = 15 km and D2 = 3 km) to investigate the ability of the fully coupled WRF-Solar model to forecast GHI up to 72-hour ahead under different atmospheric conditions. The initial and lateral boundary conditions were taken from the ECMWF high-resolution operational forecasts. Our findings reveal that the WRF-Solar model performs better under clear skies than cloudy skies. Under clear skies, Kologo performed best in predicting 72-hour GHI, with a first day nRMSE of 9.62 %. However, forecasting GHI under cloudy skies at all three sites had significant uncertainties. Additionally, WRF-Solar model is able to reproduce the observed GHI diurnal cycle under high AOD conditions in most of the selected days. This study enhances the understanding of the WRF-Solar model’s capabilities and limitations for GHI forecasting in West Africa, particularly in Ghana. The findings provide valuable information for stakeholders involved in solar energy generation and grid integration towards optimized management in the region.
This article deals with the under-researched phenomenon of rural health entrepreneurship and its major characteristics. The purpose of this study is to explicate the process of providing health services in rural areas of a developing country and their relation to SDGs. The paper is based on six semi-structured interviews conducted with Serbian health entrepreneurs in rural areas (two private practices, two policlinics, and two dental practices), a review of laws and strategies relevant to the field, and three sessions of discussions with eight experts (four authors and four additional experts). The research methodology follows an empirical, mixed-method case study research procedure. The results are presented in relation to the aspects of frugality, family orientation, and sustainability-oriented innovation. The timeline of the six case studies demonstrates the increasing importance of health entrepreneurs in rural areas due to the aging population and, therefore, increased needs for quality healthcare in these areas. The financing instruments have also become more formal and substantial in recent years, enabling the growth of healthcare businesses in rural areas. However, a major obstacle to further sustainable development remains the non-refundability of services before the state-owned, obligatory health fund, creating major social inequalities, especially in rural areas.
This work proposes a novel approach for probabilistic end-to-end all-sky imager-based nowcasting with horizons of up to 30 min using an ImageNet pre-trained deep neural network. The method involves a two-stage approach. First, a backbone model is trained to estimate the irradiance from all-sky imager (ASI) images. The model is then extended and retrained on image and parameter sequences for forecasting. An open access data set is used for training and evaluation. We investigated the impact of simultaneously considering global horizontal (GHI), direct normal (DNI), and diffuse horizontal irradiance (DHI) on training time and forecast performance as well as the effect of adding parameters describing the irradiance variability proposed in the literature. The backbone model estimates current GHI with an RMSE and MAE of 58.06 and 29.33 W m−2, respectively. When extended for forecasting, the model achieves an overall positive skill score reaching 18.6 % compared to a smart persistence forecast. Minor modifications to the deterministic backbone and forecasting models enables the architecture to output an asymmetrical probability distribution and reduces training time while leading to similar errors for the backbone models. Investigating the impact of variability parameters shows that they reduce training time but have no significant impact on the GHI forecasting performance for both deterministic and probabilistic forecasting while simultaneously forecasting GHI, DNI, and DHI reduces the forecast performance.
Sexuelle Belästigung am Arbeitsplatz ist ein tiefgreifendes Thema, welches den (Arbeits-)Alltag vieler Menschen massiv beeinträchtigt. Trotz vieler Studien und der juristischen Grundlage, die die Relevanz der Thematik hervorheben, findet es in Unternehmen und im öffentlichen Diskurs noch zu wenig Aufmerksamkeit. In der vorliegenden Studie wird deshalb untersucht, inwiefern das Allgemeine Gleichbehandlungsgesetz (AGG) Anwendung in der Praxis findet und was konkrete Verbesserungspotenziale von Unternehmen hinsichtlich des Umgangs mit sexueller Belästigung sind. Im Rahmen einer qualitativen Untersuchung werden Expert*inneninterviews geführt, die anschließend nach der Inhaltsanalyse nach Mayring, in Form einer Zusammenfassung, ausgewertet werden. Der Themenschwerpunkt wird hierbei auf die subjektiven Erfahrungen der Befragten gelegt. Die Ergebnisse dieser Arbeit unterstreichen, dass es sich bei sexueller Belästigung nach wie vor um ein Tabuthema handelt, obwohl es nachweislich sowohl auf die Beschäftigten als auch auf das Unternehmen negative Auswirkungen hat. Da das AGG in den wenigsten Unternehmen Anwendung findet, wird es von einem Großteil der Arbeitnehmenden nicht als Schutz vor sexueller Belästigung wahrgenommen. Maßnahmen, die existieren sind entweder dysfunktional oder werden nicht ausreichend bekannt gemacht. Die Auswertung zeigt vor allem, dass Unternehmen in Zukunft ein Unternehmensklima etablieren müssen, in dem eine Nulltoleranz-Haltung gegenüber Diskriminierung herrscht. Ganzheitliche Präventions- und Interventionskonzepte sollten unter anderem die Schaffung von transparenten Anlaufstellen, klare Richtlinien und Konzepte zur präventiven Aufklärungsarbeit enthalten. Hierbei sollten vor allem marginalisierte Gruppen berücksichtigt werden. Wenn Unternehmen ihre im AGG festgehaltenen Pflichten in Zukunft wahrnehmen und entsprechende Maßnahmen ergreifen, kann eine Enttabuisierung des Themas angestoßen werden. Neben der Stärkung der Betroffenen, kann dies letztendlich zu einem Rückgang der Übergriffe führen.
The lattice Boltzmann method (LBM) stands apart from conventional macroscopic approaches due to its low numerical dissipation and reduced computational cost, attributed to a simple streaming and local collision step. While this property makes the method particularly attractive for applications such as direct noise computation, it also renders the method highly susceptible to instabilities. A vast body of literature exists on stability-enhancing techniques, which can be categorized into selective filtering, regularized LBM, and multi-relaxation time (MRT) models. Although each technique bolsters stability by adding numerical dissipation, they act on different modes. Consequently, there is not a universal scheme optimally suited for a wide range of different flows. The reason for this lies in the static nature of these methods; they cannot adapt to local or global flow features. Still, adaptive filtering using a shear sensor constitutes an exception to this. For this reason, we developed a novel collision operator that uses space- and time-variant collision rates associated with the bulk viscosity. These rates are optimized by a physically informed neural net. In this study, the training data consists of a time series of different instances of a 2D barotropic vortex solution, obtained from a high-order Navier–Stokes solver that embodies desirable numerical features. For this specific text case our results demonstrate that the relaxation times adapt to the local flow and show a dependence on the velocity field. Furthermore, the novel collision operator demonstrates a better stability-to-precision ratio and outperforms conventional techniques that use an empirical constant for the bulk viscosity.
Sustainable urban soil management is becoming increasingly crucial due to its vital role in climate and water regulation and its significant potential for storing soil organic carbon (SOC). This significance is emphasized considering the ongoing urbanization and climate change issues. Although SOC is influenced by many factors, such as soil type and climate fluctuations (temperature, precipitation patterns), on a regional scale, land use and management practices (e.g., fertilization, irrigation) can have a more significant impact on SOC storage and the balance of soil-atmosphere carbon fluxes. However, there is still a limited understanding of the amount of humus content in urban soils and the effects of urban development and management practices on soil health and carbon storage. We investigated how management practices in urban green spaces influence soil carbon storage as the primary indicator of soil health.
The present study was carried out in the Bonn-Rhein-Sieg area, as the region is vital in terms of sustainable urban and regional development with a high population density (Rhein-Sieg district: 338.4, Bonn: 520.9 inhabitants/km2) in Germany. A survey was conducted with owners and managers of urban private (e.g., allotment and backyard garden) and public green spaces on the practices for the most common vegetation types (e.g., lawn, vegetable, ornamental). In the autumn and winter of 2022, 248 soil samples (0–20 cm depth) were collected from 95 private and public green spaces in the study area and analyzed for physiochemical and biological properties. Multivariate Analysis of Variance (MANOVA) was performed to assess the effects of different management practices on soil properties.
Our results indicate that the average SOC stock in public green areas (94.67 Mg ha-1) is substantially higher than in private ones (house garden 67.72 Mg ha-1, allotment garden 73.15 Mg ha-1). Moreover, urban green spaces with vegetables (91.66 Mg ha-1) and ornamentals (85.05 mg ha-1) show greater SOC stock levels when comparing vegetation types (lawn 62.48 Mg ha-1). Significant differences in SOC are also found for various management practices. Specifically, the monthly fertilization schedule resulted in higher SOC levels (127.37 Mg ha⁻¹) compared to the yearly fertilization schedule (76.88 Mg ha⁻¹). Additionally, the use of organic fertilizers contributed to increased SOC levels (84.40 Mg ha⁻¹) in contrast to mineral fertilizer applications (65.31 Mg ha⁻¹). The average SOC stock in all the studied urban green spaces (85 mg ha-1) was higher than the average SOC stock in arable soils in Germany (47.30 Mg ha-1). The higher SOC in the region could be due to vegetation types and fertilization frequencies, which show statistically significant effects (p-value <0.001). Other management practices (e.g., irrigation type and frequency) did not show a significant effect. Our findings highlight the significance of soil management practices, particularly in selecting vegetation types and determining fertilization frequency, as essential factors influencing urban SOC.
Protocol for conducting advanced cyclic tests in lithium-ion batteries to estimate capacity fade
(2024)
Using advanced cyclic testing techniques improves accuracy in estimating capacity fade and incorporates real-world scenarios in battery cycle aging assessment. Here, we present a protocol for conducting cyclic tests in lithium-ion batteries to estimate capacity fade. We describe steps for implementing strategies for accounting for variations in rest periods, charge-discharge rates, and temperatures. We also detail procedures for validating tests experimentally within a climate-controlled chamber and for developing an empirical model to estimate capacity fading under various testing objectives. For complete details on the use and execution of this protocol, please refer to Mulpuri et al.1.
A firm link between endoplasmic reticulum (ER) stress and tumors has been wildly reported. Endoplasmic reticulum oxidoreductase 1 alpha (ERO1α), an ER-resident thiol oxidoreductase, is confirmed to be highly upregulated in various cancer types and associated with a significantly worse prognosis. Of importance, under ER stress, the functional interplay of ERO1α/PDI axis plays a pivotal role to orchestrate proper protein folding and other key processes. Multiple lines of evidence propose ERO1α as an attractive potential target for cancer treatment. However, the unavailability of specific inhibitor for ERO1α, its molecular inter-relatedness with closely related paralog ERO1β and the tightly regulated processes with other members of flavoenzyme family of enzymes, raises several concerns about its clinical translation. Herein, we have provided a detailed description of ERO1α in human cancers and its vulnerability towards the aforementioned concerns. Besides, we have discussed a few key considerations that may improve our understanding about ERO1α in tumors.
Pipeline transport is an efficient method for transporting fluids in energy supply and other technical applications. While natural gas is the classical example, the transport of hydrogen is becoming more and more important; both are transmitted under high pressure in a gaseous state. Also relevant is the transport of carbon dioxide, captured in the places of formation, transferred under high pressure in a liquid or supercritical state and pumped into underground reservoirs for storage. The transport of other fluids is also required in technical applications. Meanwhile, the transport equations for different fluids are essentially the same, and the simulation can be performed using the same methods. In this paper, the effect of control elements such as compressors, regulators and flaptraps on the stability of fluid transport simulations is studied. It is shown that modeling of these elements can lead to instabilities, both in stationary and dynamic simulations. Special regularization methods were developed to overcome these problems. Their functionality also for dynamic simulations is demonstrated for a number of numerical experiments.
In addition to the long-term goal of mitigating climate change, the current geopolitical upheavals heighten the urgency to transform Europe's energy system. This involves expanding renewable energies while managing intermittent electricity generation. Hydrogen is a promising solution to balance generation and demand, simultaneously decarbonizing complex applications. To model the energy system's transformation, the project TransHyDE-Sys, funded by the German Federal Ministry of Education and Research, takes an integrated approach beyond traditional energy system analysis, incorporating a diverse range of more detailed methods and tools. Herein, TransHyDE-Sys is situated within the recent policy discussion. It addresses the requirements for energy system modeling to gain insights into transforming the European hydrogen and energy infrastructure. It identifies knowledge gaps in the existing literature on hydrogen infrastructure-oriented energy system modeling and presents the research approach of TransHyDE-Sys. TransHyDE-Sys analyzes the development of hydrogen and energy infrastructures from “the system” and “the stakeholder” perspectives. The integrated modeling landscape captures temporal and spatial interactions among hydrogen, electricity, and natural gas infrastructure, providing comprehensive insights for systemic infrastructure planning. This allows a more accurate representation of the energy system's dynamics and aids in decision-making for achieving sustainable and efficient hydrogen network development integration.
Self-motion perception is a multi-sensory process that involves visual, vestibular, and other cues. When perception of self-motion is induced using only visual motion, vestibular cues indicate that the body remains stationary, which may bias an observer’s perception. When lowering the precision of the vestibular cue by for example, lying down or by adapting to microgravity, these biases may decrease, accompanied by a decrease in precision. To test this hypothesis, we used a move-to-target task in virtual reality. Astronauts and Earth-based controls were shown a target at a range of simulated distances. After the target disappeared, forward self-motion was induced by optic flow. Participants indicated when they thought they had arrived at the target’s previously seen location. Astronauts completed the task on Earth (supine and sitting upright) prior to space travel, early and late in space, and early and late after landing. Controls completed the experiment on Earth using a similar regime with a supine posture used to simulate being in space. While variability was similar across all conditions, the supine posture led to significantly higher gains (target distance/perceived travel distance) than the sitting posture for the astronauts pre-flight and early post-flight but not late post-flight. No difference was detected between the astronauts’ performance on Earth and onboard the ISS, indicating that judgments of traveled distance were largely unaffected by long-term exposure to microgravity. Overall, this constitutes mixed evidence as to whether non-visual cues to travel distance are integrated with relevant visual cues when self-motion is simulated using optic flow alone.
Die moderne Arbeitswelt erfordert digitale Kompetenz, doch Hochschulen mangelt es an Angeboten zum digitalen Kompetenzaufbau Studierender. Peer-Angebote können ein sinnvoller Ansatz zur Förderung digitaler Kompetenz sein, allerdings fehlen empirische Belege für deren Wirksamkeit. Die Studie setzt hier an und evaluiert den digitalen Kompetenzerwerb von Teilnehmenden fachübergreifender Peer-Trainings auf Grundlage des DigComp Rahmenmodells. Die Ergebnisse zeigen, dass Trainings-Teilnehmende ihre digitale Kompetenz im Vergleich zur Kontrollgruppe signifikant stärker steigern konnten. Die Ausbildung zur bzw. zum Peer-Trainer:in sowie die Peer-Trainings wurden von allen Beteiligten sehr positiv bewertet.
This study addresses the common occurrence of cell-to-cell variations arising from manufacturing tolerances and their implications during battery production. The focus is on assessing the impact of these inherent differences in cells and exploring diverse cell and module connection methods on battery pack performance and their subsequent influence on the driving range of electric vehicles (EVs). The analysis spans three battery pack sizes, encompassing various constant discharge rates and nine distinct drive cycles representative of driving behaviours across different regions of India. Two interconnection topologies, categorised as “string” and “cross”, are examined. The findings reveal that cross-connected packs exhibit reduced energy output compared to string-connected configurations, which is reflected in the driving range outcomes observed during drive cycle simulations. Additionally, the study investigates the effects of standard deviation in cell parameters, concluding that an increased standard deviation (SD) leads to decreased energy output from the packs. Notably, string-connected packs demonstrate superior performance in terms of extractable energy under such conditions.
In this work, the surface reactions of the homemade explosive triacetone triperoxide on tungsten oxide (WO3) sensor surfaces are studied to obtain detailed information about the chemical reactions taking place. Semiconductor gas sensors based on WO3 nanopowders are therefore produced and characterized by scanning electron microscopy, X-ray diffraction, and Raman spectroscopy. To analyze the reaction mechanisms at the sensor surface, the sensor is monitored online under operation conditions using Raman spectroscopy, which allows to identify the temperature-dependent sensor reactions. By combining information from the Raman spectra with data on the changing resistivity of the underlying semiconductor, it is possible to establish a correlation between the adsorbed gas species and the physical properties of the WO3 layer. In the results, it is indicated that a Lewis acid–base reaction is the most likely mechanism for the increase in resistance observed at temperatures below 150 °C. In the results, at higher temperatures, the assumption of a radical mechanism that causes a decrease in resistance is supported.
DT-13 attenuates inflammation by inhibiting NLRP3-inflammasome related genes in RAW264.7 macrophages
(2024)
Plant derived saponins or other glycosides are widely used for their anti-inflammatory, antioxidant, and anti-viral properties in therapeutic medicine. In this study, we focus on understanding the function of the less known steroidal saponin from the roots of Liriope muscari L. H. Bailey – saponin C (also known as DT-13) in lipopolysaccharide (LPS)-stimulated RAW264.7 macrophages in comparison to the well-known saponin ginsenoside Rk1 and anti-inflammatory drug dexamethasone. We proved that DT-13 reduces LPS-induced inflammation by inhibiting nitric oxide (NO) production, interleukin-6 (IL-6) release, cycloxygenase-2 (COX-2), tumour necrosis factor-alpha (TNF-α) gene expression, and nuclear factor kappa-B (NFκB) translocation into the nucleus. It also inhibits the inflammasome component NOD-like receptor family pyrin domain containing protein 3 (NLRP3) regulating the inflammasome activation. This was supported by the significant inhibition of caspase-1 and interleukin-1 beta (IL-1β) expression and release. This study demonstrates the anti-inflammatory effect of saponins on LPS-stimulated macrophages. For the first time, an in vitro study shows the attenuating effect of DT-13 on NLRP3-inflammasome activation. In comparison to the existing anti-inflammatory drug, dexamethasone, and triterpenoid saponin Rk1, DT-13 more efficiently inhibits inflammation in the applied cell culture model. Therefore, DT-13 may serve as a lead compound for the development of new more effective anti-inflammatory drugs with minimised side effects.
Statins are a group of hypolipidemic drugs that act by competitive inhibition of the HMGR enzyme. They are generally considered effective and safe but claimed to have side effects on skeletal muscles. A molecular side effect of statins is the block of terpene biosynthesis and hence of dolichol involved in N-glycosylation and O-mannosylation of proteins. Defects in O-mannosylation lead to α-dystroglycan (α-DG) hypoglycosylation and a series of hereditary dystroglycanopathies. The current project aims to get insight into molecular pathomechanisms induced by statins in mammalian muscle cells and to unravel a potential link between these effects and statin-induced decreases of α-DG O-mannosylation. The study was based on mass spectrometric proteomics supported by western blot analysis to reveal Rosuvastatin effects on cellular pathways under high (micromolar) or low (nanomolar) conditions. Differential proteomics revealed higher statin effects on muscle cell function in micromolar than nanomolar concentration, which is reached in the patient’s plasma. We demonstrated distinct and partially overlapping patterns of fold-changed proteins under high and low statin conditions. Gene ontology term enrichment (GOTE) analyses of fold-changed proteins revealed cellular pathways related to muscle function and development are affected, even under low statin conditions, typically reached in the patient’s plasma during prophylactic medication.
Due to their user-friendliness and reliability, biometric systems have taken a central role in everyday digital identity management for all kinds of private, financial and governmental applications with increasing security requirements. A central security aspect of unsupervised biometric authentication systems is the presentation attack detection (PAD) mechanism, which defines the robustness to fake or altered biometric features. Artifacts like photos, artificial fingers, face masks and fake iris contact lenses are a general security threat for all biometric modalities. The Biometric Evaluation Center of the Institute of Safety and Security Research (ISF) at the University of Applied Sciences Bonn-Rhein-Sieg has specialized in the development of a near-infrared (NIR)-based contact-less detection technology that can distinguish between human skin and most artifact materials. This technology is highly adaptable and has already been successfully integrated into fingerprint scanners, face recognition devices and hand vein scanners. In this work, we introduce a cutting-edge, miniaturized near-infrared presentation attack detection (NIR-PAD) device. It includes an innovative signal processing chain and an integrated distance measurement feature to boost both reliability and resilience. We detail the device’s modular configuration and conceptual decisions, highlighting its suitability as a versatile platform for sensor fusion and seamless integration into future biometric systems. This paper elucidates the technological foundations and conceptual framework of the NIR-PAD reference platform, alongside an exploration of its potential applications and prospective enhancements.
Migrationspolitik in Deutschland polarisiert derzeit wie kaum ein anderes Thema. Einen zentralen Kritikpunkt aus der menschenrechtlichen Perspektive stellen hierbei fehlende gesetzlich verbindliche und einheitliche Standards in der Unterbringung von geflüchteten Menschen in Deutschland dar. Das Ausbleiben verbindlicher bundesweiter Vorgaben hat weitreichende negative Folgen insbesondere für vulnerable Gruppen unter den geflüchteten Menschen, wie Frauen, Kinder, Senior:innen, chronisch Kranke oder LGBTQ+ Personen.
Dieses Einführungspapier ist als Orientierungshilfe zum Thema Künstliche Intelligenz (KI) (engl. Artifical Intelligence, AI) im DaF/DaZ-Kontext gedacht. Ausgehend von häufig gestellten Fragen enthält es grundsätzliche Informationen zu technischen und historischen Hintergründen, didaktisch-methodische Reflexionsanregungen sowie praktische Ideen zum Einsatz von KI im DaF/DaZ-Kontext.
Improved Thermal Comfort Model Leveraging Conditional Tabular GAN Focusing on Feature Selection
(2024)
The indoor thermal comfort in both homes and workplaces significantly influences the health and productivity of inhabitants. The heating system, controlled by Artificial Intelligence (AI), can automatically calibrate the indoor thermal condition by analyzing various physiological and environmental variables. To ensure a comfortable indoor environment, smart home systems can adjust parameters related to thermal comfort based on accurate predictions of inhabitants’ preferences. Modeling personal thermal comfort preferences poses two significant challenges: the inadequacy of data and its high dimensionality. An adequate amount of data is a prerequisite for training efficient machine learning (ML) models. Additionally, high-dimensional data tends to contain multiple irrelevant and noisy features, which might hinder ML models’ performance. To address these challenges, we propose a framework for predicting personal thermal comfort preferences, combining the conditional tabular generative adversarial network (CTGAN) with multiple feature selection techniques. We first address the data inadequacy challenge by applying CTGAN to generate synthetic data samples, incorporating challenges associated with multimodal distributions and categorical features. Then, multiple feature selection techniques are employed to identify the best possible sets of features. Experimental results based on a wide range of settings on a standard dataset demonstrated state-of-the-art performance in predicting personal thermal comfort preferences. The results also indicated that ML models trained on synthetic data achieved significantly better performance than models trained on real data. Overall, our method, combining CTGAN and feature selection techniques, outperformed existing known related work in thermal comfort prediction in terms of multiple evaluation metrics, including area under the curve (AUC), Cohen’s Kappa, and accuracy. Additionally, we presented a global, model-agnostic explanation of the thermal preference prediction system, providing an avenue for thermal comfort experiment designers to consciously select the data to be collected.
Introduction: A multitude of findings from cell cultures and animal studies are available to support the anti-cancer properties of cannabidiol (CBD). Since CBD acts on multiple molecular targets, its clinical adaptation, especially in combination with cancer immunotherapy regimen remains a serious concern.
Methods: Considering this, we extensively studied the effect of CBD on the cytokine-induced killer (CIK) cell immunotherapy approach using multiple non-small cell lung cancer (NSCLC) cells harboring diverse genotypes.
Results: Our analysis showed that, a) The Transient Receptor Potential Cation Channel Subfamily V Member 2 (TRPV2) channel was intracellularly expressed both in NSCLC cells and CIK cells. b) A synergistic effect of CIK combined with CBD, resulted in a significant increase in tumor lysis and Interferon gamma (IFN-g) production. c) CBD had a preference to elevate the CD25+CD69+ population and the CD62L_CD45RA+terminal effector memory (EMRA) population in NKT-CIK cells, suggesting early-stage activation and effector memory differentiation in CD3+CD56+ CIK cells. Of interest, we observed that CBD enhanced the calcium influx, which was mediated by the TRPV2 channel and elevated phosphor-Extracellular signal-Regulated Kinase (p-ERK) expression directly in CIK cells, whereas ERK selective inhibitor FR180204 inhibited the increasing cytotoxic CIK ability induced by CBD. Further examinations revealed that CBD induced DNA double-strand breaks via upregulation of histone H2AX phosphorylation in NSCLC cells and the migration and invasion ability of NSCLC cells suppressed by CBD were rescued using the TRPV2 antagonist (Tranilast) in the absence of CIK cells. We further investigated the epigenetic effects of this synergy and found that adding CBD to CIK cells decreased the Long Interspersed Nuclear Element-1 (LINE-1) mRNA expression and the global DNA methylation level in NSCLC cells carrying KRAS mutation. We further investigated the epigenetic effects of this synergy and found that adding CBD to CIK cells decreased the Long Interspersed Nuclear Element-1 (LINE-1) mRNA expression and the global DNA methylation level in NSCLC cells carrying KRAS mutation.
Conclusions: Taken together, CBD holds a great potential for treating NSCLC with CIK cell immunotherapy. In addition, we utilized NSCLC with different driver mutations to investigate the efficacy of CBD. Our findings might provide evidence for CBD-personized treatment with NSCLC patients.
Green infrastructure has been widely recognized for the benefits to human health and biodiversity conservation. However, knowledge of the qualities and requirements of such spaces and structures for the effective delivery of the range of ecosystem services expected is still limited, as well as the identification of trade-offs between services. In this study, we apply the One Health approach in the context of green spaces to investigate how urban park characteristics affect human mental health and wildlife support outcomes and identify synergies and trade-offs between these dimensions. Here we show that perceived restorativeness of park users varies significantly across sites and is mainly affected by safety and naturalness perceptions. In turn, these perceptions are driven by objective indicators of quality, such as maintenance of facilities and vegetation structure, and subjective estimations of biodiversity levels. The presence of water bodies benefited both mental health and wildlife. However, high tree canopy coverage provided greater restoration potential whereas a certain level of habitat heterogeneity was important to support a wider range of bird species requirements. To reconcile human and wildlife needs in green spaces, cities should strategically implement a heterogeneous green infrastructure network that considers trade-offs and maximizes synergies between these dimensions.
Trade of wild-caught animals is illegal for many taxa and in many countries. Common regulatory procedures involve documentation and marking techniques. However, these procedures are subject to fraud and thus should be complemented by routine genetic testing in order to authenticate the captive-bred origin of animals intended for trade. A suitable class of genetic markers are SNPSTRs that combine a short tandem repeat (STR) and single nucleotide polymorphisms (SNPs) within one amplicon. This combined marker type can be used for genetic identification and for parentage analyses and in addition, provides insight into haplotype history. As a proof of principle, this study establishes a set of 20 SNPSTR markers for Athene noctua, one of the most trafficked owls in CITES Appendix II. These markers can be coamplified in a single multiplex reaction. Based on population data, the percentage of observed and expected heterozygosities of the markers ranged from 0.400 to 1.000 and 0.545 to 0.850, respectively. A combined probability of identity of 5.3*10-23 was achieved with the whole set, and combined parentage exclusion probabilities reached over 99.99%, even if the genotype of one parent was missing. A direct comparison of an owl family and an unrelated owl demonstrated the applicability of the SNPSTR set in parentage testing. The established SNPSTR set thus proved to be highly useful for identifying individuals and analysing parentage to determine wild or captive origin. We propose to implement SNPSTR-based routine certification in wildlife trade as a way to reveal animal laundering and misdeclaration of wild-caught animals.
Pollution with anthropogenic waste, particularly persistent plastic, has now reached every remote corner of the world. The French Atlantic coast, given its extensive coastline, is particularly affected. To gain an overview of current plastic pollution, this study examined a stretch of 250 km along the Silver Coast of France. Sampling was conducted at a total of 14 beach sections, each with five sampling sites in a transect. At each collection site, a square of 0.25 m2 was marked. The top 5 cm of beach sediment was collected and sieved on-site using an analysis sieve (mesh size 1 mm), resulting in a total of approximately 0.8 m3 of sediment, corresponding to a total weight of 1300 kg of examined beach sediment. A total of 1972 plastic particles were extracted and analysed using infrared spectroscopy, corresponding to 1.5 particles kg−1 of beach sediment. Pellets (885 particles), polyethylene as the polymer type (1349 particles), and particles in the size range of microplastics (943 particles) were most frequently found. The significant pollution by pellets suggests that the spread of plastic waste is not primarily attributable to tourism (in February/March 2023). The substantial accumulation of meso- and macro-waste (with 863 and 166 particles) also indicates that research focusing on microplastics should be expanded to include these size categories, as microplastics can develop from them over time.
The digitization of financial activities in consumers' lives is increasing, and the digitalization of invoicing processes is expected to play a significant role, although this area is not well understood regarding the private sector. Human-Computer Interaction (HCI) and Computer Supported Cooperative Work (CSCW) research have a long history of analyzing the socio-material and temporal aspects of work practices that are relevant for the domestic domain. The socio-material structuring of invoicing work and the working styles of consumers must be considered when designing effective consumer support systems. In this ethnomethodologically-informed, design-oriented interview study, we followed 17 consumers in their daily practices of dealing with invoices to make the invisible administrative work involved in this process visible. We identified and described the meaningful artifacts that were used in a spatial-temporal process within various storage locations such as input, reminding, intermediate (for postponing cases) buffers, and archive systems. Furthermore, we identified three different working styles that consumers exhibited: direct completion, at the next opportunity, and postpone as far as possible. This study contributes to our understanding of household economics and domestic workplace studies in the tradition of CSCW and has implications for the design of electronic invoicing systems.
Blickpunkt
(2024)
Farming communities confronted with climate change adopt formal and informal adaptation strategies to mitigate the effects of climate change. While the environmental and social effects of climate change are well documented, there is still a dearth of literature on girl-child marriage (formal marriage or informal union between a child under the age of 18 and an adult or another child) as a response to the effects of climate change. In this research, we ask if girl-child marriage is promoted as a social protection mechanism first, rather than as simply a response to climate-induced poverty. We use qualitative semi-structured interviews and focus group discussions to explore this question in a rural farming community in Northern Ghana. Our findings reveal that climate change shocks result in poverty and compel farmers to marry off their young daughters. The unmarried girl-child is perceived as an ‘extra mouth to feed’, a liability whose marriage becomes a strategy for protecting the family, the family’s reputation, and the girl child. The emphasis in girl-child marriage is not on the girl-child as an individual but on the family as a group. Hence, what is good for the family is assumed to be in the best interest of the girl-child. We place our analysis at the intersection of climate change, social protection, and the incidence of girl-child marriages. We argue that understanding this link is crucial and can contribute significantly to our knowledge of girl-child marriage as well as our ability to address this in Sub-Saharan Africa.
The human gut microbiota harbors untapped potential for biotechnological applications. Within the phylum of Bacteroidota, Phocaeicola vulgatus stands out as a promising candidate for sustainable production of key platform chemicals like succinate. However, genetic engineering of Phocaeicola sp. remains challenging due to its intricate molecular landscape. This study lays the groundwork for manipulating the central carbon pathways in Phocaeicola vulgatus, offering insights into overcoming genetic hurdles for increased succinate yields.
While humans can effortlessly pick a view from multiple streams, automatically choosing the best view is a challenge. Choosing the best view from multi-camera streams poses a problem regarding which objective metrics should be considered. Existing works on view selection lack consensus about which metrics should be considered to select the best view. The literature on view selection describes diverse possible metrics. And strategies such as information-theoretic, instructional design, or aesthetics-motivated fail to incorporate all approaches. In this work, we postulate a strategy incorporating information-theoretic and instructional design-based objective metrics to select the best view from a set of views. Traditionally, information-theoretic measures have been used to find the goodness of a view, such as in 3D rendering. We adapted a similar measure known as the viewpoint entropy for real-world 2D images. Additionally, we incorporated similarity penalization to get a more accurate measure of the entropy of a view, which is one of the metrics for the best view selection. Since the choice of the best view is domain-dependent, we chose demonstration-based training scenarios as our use case. The limitation of our chosen scenarios is that they do not include collaborative training and solely feature a single trainer. To incorporate instructional design considerations, we included the trainer’s body pose, face, face when instructing, and hands visibility as metrics. To incorporate domain knowledge we included predetermined regions’ visibility as another metric. All of those metrics are taken into account to produce a parameterized view recommendation approach for demonstration-based training. An online study using recorded multi-camera video streams from a simulation environment was used to validate those metrics. Furthermore, the responses from the online study were used to optimize the view recommendation performance with a normalized discounted cumulative gain (NDCG) value of 0.912, which shows good performance with respect to matching user choices.
Die Klimakrise stellt eine Bedrohung für das menschliche Wohlergehen und die planetare Gesundheit dar, welcher u.a. durch Lebens- und Verhaltensstiländerungen begegnet werden kann. Eine dieser individuellen und gesamtgesellschaftlichen Veränderungen könnte eine geschlechtergerechte Aufteilung der Care-Arbeit sein, weshalb es notwendig ist, an vorderster Stelle die dahinterliegenden Mechanismen und Zusammenhänge zu verstehen. Aus diesem Grund beschäftigt sich die vorliegende Bachelorarbeit mit der Frage „Wie kann geschlechtergerechte Care-Arbeit ausgestaltet werden, um einen Beitrag zum Klimaschutz zu leisten?“. Um die Forschungsfrage zu beantworten, wird eine systematische Literaturrecherche durchgeführt, welche durch den theoretischen Rahmen analysiert wird. Dieser setzt sich aus der Externalisierungsgesellschaft von Lessenich, dem Gerechtigkeitsansatz von Fraser und dem soziologischen Geschlecht von Pimminger zusammen. Die Analyse ergibt, dass sowohl die Ursachen, Auswirkungen und Lösungsansätze zur Klimakrise abhängig vom Geschlecht sind und ein Eco Gender Gap existiert.Des Weiteren ist die Aufteilung der Care-Arbeit durch das soziologische Geschlecht geprägt und weist sowohl im lokalen und globalen Kontext Parallelen zur Klimakrise auf. Lösungsansätze für beide Herausforderungen finden sich im Ökofeminismus und einer Verkürzung der Arbeitszeit wieder. In zukünftigen Wirtschaftsmodellen sollte die Care-Arbeit daher mehr Beachtung finden, da sie die unsichtbare Grundlage der derzeitigen Wirtschaftsweise ist, die zur Klimakrise geführt hat.
Der Klimawandel ist eine immer größer werdende Herausforderung von der besonders Kinder auf Grund ihrer Vulnerabilität betroffen sind. Ein Ansatz, um die Resilienz von Kindern zu stärken ist die Agency von Kindern im Kontext des Klimawandels zu stärken. Diese Arbeit analysiert, wie Maßnahmen zur Stärkung der Agency von Kindern in Form von Klimawandelprojekten wirksam gestaltet werden können. Dieses Vorhaben wird mittels einer qualitativen Inhaltsanalyse von bereits durchgeführten Klimaprojekten umgesetzt. Die Analyse zeigt, dass vor allem Maßnahmen, bei denen eine Aktionskomponente, neben der Wissensbildung und Stimmenschaffung, im Vordergrund stehen die Agency von Kindern stärken.
The transport sector is a major source of air pollution and thus a major contributor to the changing climate. As a result, in the recent past, driving bans have been imposed on cars with critical pollutant groups. As an international UN campus and self-proclaimed climate capital, the Federal City of Bonn declared a climate emergency in 2019 and participated in a federally funded “Lead City” project to optimise air quality. A key goal of the project is to reduce private motorised transport and strengthen public transport. Among the implemented measures, a “climate ticket” was introduced in 2019 whereby consumers could purchase an annual 365 € ticket for all local public transport. This paper reports on an analysis of that ticket’s changes in travel behavior.
A quantitative survey (n = 1,315) of the climate ticket users as well as the multiple regressions confirm that the climate ticket attracted more customers to the buses and trams and that a modal shift for the period of the measure was recognisable. The multiple regressions showed that the ticket was perceived significantly more positively by full-time employed users than by unemployed people. The results also show that, in addition to the price, it is essential that travel time and reliability are ensured. Furthermore, the eligible groups of people, the area of coverage, and good connecting services should be extended. To sustainably improve air quality, this type of mobility service must be optimised and introduced on a permanent basis.
During robot-assisted therapy, a robot typically needs to be partially or fully controlled by therapists, for instance using a Wizard-of-Oz protocol; this makes therapeutic sessions tedious to conduct, as therapists cannot fully focus on the interaction with the person under therapy. In this work, we develop a learning-based behaviour model that can be used to increase the autonomy of a robot’s decision-making process. We investigate reinforcement learning as a model training technique and compare different reward functions that consider a user’s engagement and activity performance. We also analyse various strategies that aim to make the learning process more tractable, namely i) behaviour model training with a learned user model, ii) policy transfer between user groups, and iii) policy learning from expert feedback. We demonstrate that policy transfer can significantly speed up the policy learning process, although the reward function has an important effect on the actions that a robot can choose. Although the main focus of this paper is the personalisation pipeline itself, we further evaluate the learned behaviour models in a small-scale real-world feasibility study in which six users participated in a sequence learning game with an assistive robot. The results of this study seem to suggest that learning from guidance may result in the most adequate policies in terms of increasing the engagement and game performance of users, but a large-scale user study is needed to verify the validity of that observation.
The paper investigates the nature of Kenya's entrepreneurship education ecosystem (EEE) through a comparative analysis of three entrepreneurship education programs and an examination of how the institutions foster a favourable entrepreneurial environment. This study looks at the entrepreneurship education ecosystem through the lens of universities, NGO's and private institutes in Kenya.
A systemic analysis of EEE is provided by utilizing the Actiotope Model as a conceptual framework. The exploratory research adopts a pragmatic mixed-method methodological approach best suited to understand the research problem.
The results reveal that entrepreneurship education at higher education institutions was primarily theoretical and relied on traditional forms of entrepreneurship education. Recurring rigid patterns show minimal personalization of content and learning styles within the University, with more personalization reported in the Mully Model of education and the more specialized entrepreneurship program of the Identity Projects.
The adaptation of the Actiotope Model provided a new and unique approach to analyzing entrepreneurship ecosystems. The person-centred approach of the model provides valuable insights to learners and to entrepreneurship education institutions and researchers.
Enhanced collaboration between the different entrepreneurial education stakeholders could be a more effective short to medium-term solution to addressing the gaps in entrepreneurial education at tertiary institutions.
In the long term, the study recommends adopting practical-based and goal-oriented entrepreneurship teaching models.
Social businesses have a great positive impact on communities and are a sustainable way to do business today and in the future. This impact can be amplified through the means of digitalization. In the past, traditional for-profit business models have been used to understand the structures of business operations. However, the underlying business model of digital social businesses has not yet been explored. This study presents a building block analysis of business models and a subsequent typology. Digital and social business models are identified via a literature review. The building block analysis encompasses an assessment of the individual business activities contained in the business models. The typology is developed from existing literature utilizing a matrix for the evaluation of digital social businesses. Additionally, five semi-structured expert interviews are conducted to inform, extend, or content the findings of this study. To this end, an inductive coding procedure is applied to the transcribed interviews for the detection of themes within the text. This study contributes to social business model research by providing a first insight into the unique building blocks of digital social business models. It also creates a typology tool based on two parameters, which enables the comparison of digital social businesses.
Mobile technologies have evolved into the means of gaining access to information for learning. Its application in higher education is still a novel concept, particularly in underdeveloped countries. This study is aimed at exploring the views of doctoral students regarding their learning experiences with mobile technologies. Student focus group interviews of 24 doctoral students from 3 different academic institutions were interviewed. The participants’ responses were recorded, transcribed, and analyzed to make conclusions. According to the findings of this study, mobile devices play an important part in the learning experiences of doctoral students. The participating students engaged in collaborative learning using mobile technologies. Given the benefits of adopting mobile technologies for learning activities, academic institutions should focus on teaching faculty members to use this to involve students in their learning process. The implications of this study call for the continued advancement of mobile technologies to facilitate effective learning experience for the multitude of mobile learners in developing countries. Another implication is that academic institutions with collaboration with libraries should see the need to develop user friendly mobile app that is linked to the library management system. Such an application would allow the students to optimally use their smartphones and tablets to search the library’s resources from their mobile devices. Training should be offered to the teaching faculty members to come to terms with the benefits of mobile technologies for learning activities.
TREE Jahresbericht 2021/2022
(2023)
Das Institut TREE freut sich, ihnen den Jahresbericht der Jahre 2021 und 2022 präsentieren zu können. Blicken sie mit uns zurück auf zwei herausfordernde Jahre.
Unser neuer Doppel-Jahresbericht 2021/2022 enthält viele, interessante, Beiträgen unserer spannenden, interdisziplinären Forschungprojekte der Bereiche Energie, Modellbildung Simulation, Drohnenforschung, Materialien und Prozesse und Technikkommunikation.
The UN Declaration on the Right to Development (UNDRTD) adopted in 1986 and the 2030 Agenda for Sustainable Development adopted in 2015 share a universal concept of development that refers both to individual and collective dimensions of prosperity and thus includes the rights of future generations.2 They thus offer a definition of the relationship between development and human rights that is very relevant for the 21st century. The core norm of the UNDRTD has been defined later as “the right of peoples and individuals to the constant improvement of their wellbeing and to a national and global enabling environment conducive to just, equitable, participatory and human-centred development respectful of all human rights”3.
The continuously increasing number of biomedical scholarly publications makes it challenging to construct document recommendation algorithms that can efficiently navigate through literature. Such algorithms would help researchers in finding similar, relevant, and related publications that align with their research interests. Natural Language Processing offers various alternatives to compare publications, ranging from entity recognition to document embeddings. In this paper, we present the results of a comparative analysis of vector-based approaches to assess document similarity in the RELISH corpus. We aim to determine the best approach that resembles relevance without the need for further training. Specifically, we employ five different techniques to generate vectors representing the text in the documents. These techniques employ a combination of various Natural Language Processing frameworks such as Word2Vec, Doc2Vec, dictionary-based Named Entity Recognition, and state-of-the-art models based on BERT. To evaluate the document similarity obtained by these approaches, we utilize different evaluation metrics that account for relevance judgment, relevance search, and re-ranking of the relevance search. Our results demonstrate that the most promising approach is an in-house version of document embeddings, starting with word embeddings and using centroids to aggregate them by document.
The continuous increase of biomedical scholarly publications makes it challenging to construct document recommendation algorithms to navigate through literature, an important feature for researchers to keep up with relevant publications. Understanding semantic relatedness and similarity between two documents could improve document recommendations. The objective of this study is performing a comparative analysis of vector-based approaches to assess document similarity in the RELISH corpus. Here we present our approach to compare five different techniques to generate vectors representing the text in the documents. These techniques employ a combination of various Natural Language Processing frameworks such as Word2Vec, Doc2Vec, dictionary-based Named Entity Recognition as well as state-of-the-art models based on BERT.
Tourism in Rwanda is challenging. Since the country is small and hilly, it is difficult to tap the potential. As the country is blessed with diverse nature, the Rwandan government decided to combine ecotourism with high-end tourism, to exploit the full potential. This study aims to assess the extent to which these two types of tourism fit together, as well as if sustainability is a decisive argument in this upscale segment. In this context, ecotourism is characterized by its 3 core criteria: education, nature and sustainability. To evaluate the main question: to what extent can ecotourism projects help to promote the perception of Rwanda as a high-end tourist destination on the German market? As well as if sustainability is a decisive argument, interviews with stakeholder from the Rwandan tourism industry as well as German tour operators were conducted, to gain an understanding of both sites and then evaluate them according to the 3 ecotourism core criteria and the demands of high-end tourists. The results showed that there is a difference in the perception of the needs of high-end tourists. While the 3 core criteria seem to be too relevant while they are in booking decision with the tour operator. The high-end lodges in Rwanda state an interest in these three criteria. It is evident from the results that there is a limited active demand for sustainable tourist products, while nature and education are more relevant, but not yet fully exploited. However, all interviewees indicated that ecotourism, and in particular sustainability, is experiencing an increase in demand and will continue to grow in importance in the future. Accordingly, the results suggest the driving markets approach is relevant to further drive demand in that segment.
As a developing economy, Rwanda has been exploring transitioning to being a technologically driven and sustainable economy. Moreover, research on economic growth have focused on the need to improve human capacity potential within increasing demands of climate change activists but there remains a theoretic and practical lacuna in including renewable energy resources in economic growth and expansion of electricity access. Therefore, it is necessary to study the impact of competent skill acquisition and graduate employment market on the interaction mix between economic growth and the expansion of energy access in Rwanda, particularly finding out the problems advancing the non-inclusiveness of engineering graduates, which result to high rate of unemployment and diversions, especially for the graduates specializing in energy fields. As a result, the following open questions were raised with variations 1; how did employees penetrate energy-sector labour market opportunity in Rwanda? 2; what influenced employee’s decision in pursuing a career in Rwanda’s labour market, 3; what were the specific employee competent skills that enabled smooth transition in energy-sector employment after graduation and the ones required to maintain their current positions? 4; what specific competent skills are required for inclusivity of today's engineering graduates in energy sector employment market? The study is qualitative and it uses the exploratory research design. It is based on the growth pole theory employing snowball/chain purposeful sampling technique, whereby key informants in Rwanda energy sector were located. Data was specifically collected from these primary sources through semi-structured interviews and documentary method. Interview data and text from documents were inductively analysed. The study generally recommended institution or program for connecting learning institutions, industry and employment market in the distributed and renewable energy resources to promote competent skills acquisition, competition and improve graduates’ inclusiveness in the expansion of electricity access, thereby leading to economic growth in Rwanda.
Rapid and sustained innovation in developed markets triggers the generation of innovative start-ups, some with disruptive innovations. However, when their offering faces a saturated market with satisfactory and widely available established traditional solutions, many innovative start-ups from these markets may fail. The literature on some start-ups that successfully brought their innovation to emerging markets shows how using leapfrogging traditional solutions to innovative solutions can offer survival and growth opportunities to these start-ups. However, a wide exploitation of leapfrogging processes in emerging markets for survival or business growth of innovative start-ups from developed markets is not yet theorized. To contribute to closing this gap, we propose a conceptual framework to assess the readiness of an emerging market to leapfrog to innovative solutions.
The design of the conceptual framework uses a scenario-planning like approach with two key factors, namely Context Readiness and Value Network Integration. To test and refine the proposed framework and show its relevance for coming to an informed expansion decision making, we used PAR (Participatory Action Research). For the illustration of the application of the proposed conceptual framework, the case of telehealth in Morocco is used.
While 14 % of the world's working-age population currently lives in sub-Saharan Africa (SSA), this figure will predictably be higher than the rest of the world combined by 2036. If this demographic group finds meaningful employment, Africa experiences an economic and social upswing. To tap this potential, the paper intends to answer the research question, "What are the prerequisites and how are they defined for the successful implementation of sustainable business model ideas in SSA?", by developing a top ten ranking consisting of previously identified sustainable business model ideas best suited for productive use. This achieves a novel approach to implementing future-oriented business models and contributes to current research on sustainable models. Since the geographical scope of SSA is pervasive, this paper focuses on Namibia, Rwanda, Senegal, and Uganda. An extensive literature review on these countries was conducted to gain a broader understanding of the situation in SSA. Additionally, research was carried out on the agricultural, energy, and information and communications technology (ICT) sectors to identify the most promising ideas. To contribute to current knowledge, experts were interviewed, and panel discussions were analyzed. Furthermore, the Business Model Canvas (BMC) was combined with the circular economy concept, which served as a framework for the business model ideas. Experts evaluated these ideas, which were subsequently ranked using fuzzy logic with artificial intelligence, based on the system for exploring country risks (CRISK-Explorer). The paper shows that skipping individual development processes opens up promising opportunities, such as the ICT-based business model e-crowd logistics or the renewable energy-based model e-Boda-Boda. Seven prerequisites for the successful implementation of these ideas were identified and defined: value delivery, promising customers, sufficient capital, presence of key resources, possibility to perform the key activities, sustainability, and profitability. The paper concludes by identifying limitations and suggesting avenues for future research.
Channels of distribution are important factors in the connection between goods and services produced for the final consumer and, therefore, determine the effectiveness with which they are delivered and ultimately availed to the final consumers. Globally, studies show that channels of distribution and sales play an essential role in building bonds between manufacturers, retailers, wholesalers and their consumers. The main purpose of this study is to examine the influence of distribution channels and networks on customer choice of fast-moving consumer goods (FCMG) in the Upper East Region of Ghana. The study adopted a quantitative approach and questionnaires were used to collect primary data from 110 customers of Unilever Ghana Limited in the Upper East Region of Ghana. The findings reveal that product-related factors, such as the price of products, perishability of products, size and weight of products, promote the effective distribution of Unilever goods and services, whilst consumer-related factors, such as the number of customers and increased consumer base, promote effective distribution channels. The study also established a positive influence of factors, such as incentives, receiving feedback and sales performance, on customer choice of fast-moving consumer goods (FMCG). Managers and producers in the FMCGs industry should implement reward and incentive programmes and policies to boost the sale and distribution of fast-moving consumer goods and services in the retail industry in Ghana.
Entrepreneurship is labelled as the panacea for graduate unemployment in Ghana. In the training process, students are mandatorily required to read a course in entrepreneurship, so as to be able to start their own businesses in the face of job adversities caused by the inadequacy of job opportunities created by government and lack of government drive to diversify the economy for more jobs to be created. This study, therefore aimed at investigating the critical precursors of entrepreneurial intentions among higher education students in Ghana. Using the analytical cross-sectional survey design, 250 respondents were recruited from public universities using probability sampling techniques (stratified-disproportionate and simple random) to participate in the survey. Respondents were required to respond to three constructs (entrepreneurial scaffolding, psychological capital, and entrepreneurial intentions). The data analyses were performed using multivariate regression. The study findings showed that entrepreneurial scaffolding and psychological capital were significant predictors of entrepreneurial intentions. The researchers concluded that students' convictions in succeeding or otherwise and planning to engage in entrepreneurial behaviours depended on proper entrepreneurial guidance and a positive mind-set. Therefore, it was recommended that higher education institutions in Ghana strengthened and included practical guides to entrepreneurial training. This will encourage higher education students to consider entrepreneurship, hence, reducing graduate unemployment in Ghana.
The dawn of the 21st Century has witnessed a tremendous increase in trade pacts among nations, resulting in renewed hopes for sustainable enterprise development in emerging economies worldwide. Ghana and other sub- Saharan African (SSA) countries have signed onto several North-South and South-South free trade agreements with the hope of strengthening their presence in the international trade arena, and to promote economic growth in SSA. For over two decades, however, very little has changed, and many have dashed their high hopes as enterprises continue to struggle in SSA. Not even the African Continental Free Trade Agreement (AfCFTA) could renew the hopes of sceptics. Several studies opined that enterprises in SSA could improve their domestic and international competitiveness by establishing mutually beneficial partnerships with their counterparts from the Global North and South. This study delved into the issues that affect North-South and South-South business collaborations and recommends key success factors that could help promote mutually beneficial cross-border business partnerships. The research includes both literature and empirical information on the key success factors of business partnerships between African enterprises as well as between African enterprises and firms from the Global North. We approached the study qualitatively using a phenomenological research design. Research participants included important stakeholders in Africa and Europe's international trade and sustainable enterprise development ecosystem. The study identified several challenges with the current business collaborations and recommended new ways of making such partnerships more beneficial.
The differentiation of the higher education sector in Ethiopia has created a new sector of Higher Education Institutions: Universities of Applied Sciences (UAS). Its focus is on educating academically trained experts for regional industries. Close cooperation between industries and UAS is set as a key requirement. However, Ethiopian industries in many regions are not developed enough that those could be considered as active partners for UASs and able to accommodate interns or to provide expert teachers to UAS classes. European UAS structures serve as benchmarks for the Ethiopian Ministry of Education (MoE). Therefore, UAS curricula of study programmes in building-construction, electro-engineering and economic/business/tourism from different European countries build a common ground for Ethiopian UASs. But, due to the lack of industries in the regions, Ethiopian UAS are not able to mirror the European counterparts, where study programmes at bachelor level comprise 70 credits out or 210 credits as practical works, internships and bachelor thesis. - The question is, how can Ethiopian UASs in the absence of companies offer practice-oriented education in their study programmes? This paper refers to the ongoing research, on how to integrate UAS (academic and non-academic) departments at UAS campuses to create internship placements for students in the absence of internship placements in the private sector. Kotebe University of Education (KUE) - as one of the newly founded UAS in Ethiopia - has agreed to act as subject of this try-out.
Here we present a doc-2-doc relevance assessment performed on a subset of the TREC Genomics Track 2005 collection. Our approach includes an experimental set up to manually assess doc-2-doc relevance and the corresponding analysis done on the results obtained from this experiment. The experiment takes one document as a reference and assesses a second document regarding its relevance to the reference one. The consistency of the assessments done by 4 domain experts was evaluated. The lack of agreement between annotators may be due to: i) The abstract lacks key information and/or ii) Lack of experience of the annotators in the evaluation of some topics.
Neuromorphic computing aims to mimic the computational principles of the brain in silico and has motivated research into event-based vision and spiking neural networks (SNNs). Event cameras (ECs) capture local, independent changes in brightness, and offer superior power consumption, response latencies, and dynamic ranges compared to frame-based cameras. SNNs replicate neuronal dynamics observed in biological neurons and propagate information in sparse sequences of ”spikes”. Apart from biological fidelity, SNNs have demonstrated potential as an alternative to conventional artificial neural networks (ANNs), such as in reducing energy expenditure and inference time in visual classification. Although potentially beneficial for robotics, the novel event-driven and spike-based paradigms remain scarcely explored outside the domain of aerial robots.
To investigate the utility of brain-inspired sensing and data processing in a robotics application, we developed a neuromorphic approach to real-time, online obstacle avoidance on a manipulator with an onboard camera. Our approach adapts high-level trajectory plans with reactive maneuvers by processing emulated event data in a convolutional SNN, decoding neural activations into avoidance motions, and adjusting plans in a dynamic motion primitive formulation. We conducted simulated and real experiments with a Kinova Gen3 arm performing simple reaching tasks involving static and dynamic obstacles. Our implementation was systematically tuned, validated, and tested in sets of distinct task scenarios, and compared to a non-adaptive baseline through formalized quantitative metrics and qualitative criteria.
The neuromorphic implementation facilitated reliable avoidance of imminent collisions in most scenarios, with 84% and 92% median success rates in simulated and real experiments, where the baseline consistently failed. Adapted trajectories were qualitatively similar to baseline trajectories, indicating low impacts on safety, predictability and smoothness criteria. Among notable properties of the SNN were the correlation of processing time with the magnitude of perceived motions (captured in events) and robustness to different event emulation methods. Preliminary tests with a DAVIS346 EC showed similar performance, validating our experimental event emulation method. These results motivate future efforts to incorporate SNN learning, utilize neuromorphic processors, and target other robot tasks to further explore this approach.
This thesis investigates the benefit of rubrics for grading short answers using an active learning mechanism. Automating short answer grading using Natural Language Processing (NLP) is one of the active research areas in the education domain. This could save time for the evaluator and invest more time in preparing for the lecture. Most of the research on short answer grading was treated as a similarity task between reference and student answers. However, grading based on reference answers does not account for partial grades and does not provide feedback. Also, the grading is automatic that tries to replace the evaluator. Hence, using rubrics for short answer grading with active learning eliminates the drawbacks mentioned earlier.
Initially, the proposed approach is evaluated on the Mohler dataset, popularly used to benchmark the methodology. This phase is used to determine the parameters for the proposed approach. Therefore, the approach with the selected parameter exceeds the performance of current State-Of-The-Art (SOTA) methods resulting in the Pearson correlation value of 0.63 and Root Mean Square Error (RMSE) of 0.85. The proposed approach has surpassed the SOTA methods by almost 4%.
Finally, the benchmarked approach is used to grade the short answer based on rubrics instead of reference answers. The proposed approach evaluates short answers from Autonomous Mobile Robot (AMR) dataset to provide scores and feedback (formative assessment) based on the rubrics. The average performance of the dataset results in the Pearson correlation value of 0.61 and RMSE of 0.83. Thus, this research has proven that rubrics-based grading achieves formative assessment without compromising performance. In addition, the rubrics have the advantage of generalizability to all answers.
Das Interesse an Virtual Reality (VR) für die Hochschullehre steigt aktuell vermehrt durch die Möglichkeit, logistisch schwierige Aufgaben abzubilden sowie aufgrund positiver Ergebnisse aus Wirksamkeitsstudien. Gleichzeitig fehlt es jedoch an Studien, die immersive VR-Umgebungen, nicht-immersive Desktop-Umgebungen und konventionelle Lernmaterialien gegenüberstellen und lehr-lernmethodische Aspekte evaluieren. Aus diesem Grund beschäftigt sich dieser Beitrag mit der Konzeption und Realisierung einer Lernumgebung für die Hochschullehre, die sowohl mit einem Head Mounted Display (HMD) als auch mittels Desktops genutzt werden kann, sowie deren Evaluation anhand eines experimentellen Gruppendesigns. Die Lernumgebung wurde auf Basis einer eigens entwickelten Softwareplattform erstellt und die Wirksamkeit mithilfe von zwei Experimentalgruppen – VR vs. Desktop-Umgebung – und einer Kontrollgruppe evaluiert und verglichen. In einer Pilotstudie konnten sowohl qualitativ als auch quantitativ positive Einschätzungen der Usability der Lernumgebung in beiden Experimentalgruppen herausgestellt werden. Darüber hinaus zeigten sich positive Effekte auf die kognitive und affektive Wirkung der Lernumgebung im Vergleich zu konventionellen Lernmaterialien. Unterschiede zwischen der Nutzung als VR- oder Desktop-Umgebung zeigen sich auf kognitiver und affektiver Ebene jedoch kaum. Die Analyse von Log-Daten deutet allerdings auf Unterschiede im Lern- und Explorationsverhalten hin.
Hydrogen as a versatile, greenhouse gas-free energy carrier will play an important role in our future economy. Yet sustainable, competitive production and distribution of hydrogen remains a challenge. Highly integrated solar water splitting systems aim to combine solar energy harvesting and electrolysis in a single device, similar to a photovoltaic module.[1] Such a system can produce hydrogen locally without the requirement to be connected to the electricity grid. Unlike large electrolysis that draws power from the grid, the power density of such a device is reduced so far that it does not require active cooling, but its operating temperature will closely follow outdoor conditions.
Here, we present our work on high-efficiency integrated solar water splitting devices based on multi-junction solar absorbers. The light-absorbing component is sensitive to the shape of the solar spectrum and generally becomes more efficient at lower temperatures. Catalysis, on the other hand, benefits from higher temperatures. These conflicting trends wih respect to the temperature impact the design of the solar hydrogen production system. We analyse how the local climate affects production efficiency[2] and show in a lab study that adequate system design allows efficient operation at temperatures as low as -20°C.[3] These insights can help to design small-scale distributed solar hydrogen production for both temperate regions, but also more extreme climatic conditions.
There are several recent works which had proposed an automatic computer-aided diagnosis (CAD) deep learning (DL) model to diagnose coronavirus disease 2019 (COVID-19) using chest x-ray images (CXR) to propose a high-accuracy CAD method to detect COVID-19 automatically. In this study, seven different models including Convolutional Neural Network (CNN) models such as VGG-16 and vision transformer (ViT) models, are proposed. The different proposed models are trained with a three-class balanced dataset consisting of 3,000 CXR images consisting of 1,000 CXR images for each class of COVID-19, Normal, and Lung-Opacity. A publicly available dataset to train and test the models is used from Kaggle-COVID-19-Radiography-Dataset. From the experiments, the accuracy of the VGG16 model is 93.44% and ViT's is 92.33%. Besides, the binary classification between two classes of COVID-19 and Normal CXR with a limited number of just 100 images for each class, using a transfer learning technique, with a validation accuracy of 97.5% is proposed.
Climate change is transforming the risks individuals and households face, with potentially profound socioeconomic consequences such as increased poverty, inequality, and social instability. Social protection is a policy tool that governments use to help individuals and households manage risks linked to income and livelihoods, and to achieve societal outcomes such as reducing poverty and inequality. Despite its potential as a policy response to climate change, the integration of social protection within the climate policy agenda is currently limited. While the concept of risk is key to both sectors, different understandings of the nature and scope of climate change impacts and their implications, as well as of the adequacy of social protection instruments to address them, contribute to the lack of policy and practice integration.
Our goal is to bridge this cognitive gap by highlighting the potential of social protection as a policy response to climate change. Using a comprehensive climate risk lens, we first explore how climate change drives risks that are within the realm of social protection, and their implications, including likely future trends in demand for social protection. Based on this analysis, we critically review existing arguments for what social protection can do and evidence of what it currently does to manage risks arising from climate change. From the analysis, a set of reconceptualised roles emerge for social protection to strategically contribute to climate-resilient development.
Background: Bloodstream infections (BSIs) remain a significant cause of mortality worldwide. Causative pathogens are routinely identified and susceptibility tested but only very rarely investigated for their resistance genes, virulence factors, and clonality. Our aim was to gain insight into the clonality patterns of different species causing BSI and the clinical relevance of distinct virulence genes.
Methods: For this study, we whole-genome-sequenced over 400 randomly selected important pathogens isolated from blood cultures in our diagnostic department between 2016 and 2021. Genomic data on virulence factors, resistance genes, and clonality were cross-linked with in-vitro data and demographic and clinical information.
Results: The investigation yielded extensive and informative data on the distribution of genes implicated in BSI as well as on the clonality of isolates across various species.
Conclusion: Associations between survival outcomes and the presence of specific genes must be interpreted with caution, and conducting replication studies with larger sample sizes for each species appears mandatory. Likewise, a deeper knowledge of virulence and host factors will aid in the interpretation of results and might lead to more targeted therapeutic and preventive measures. Monitoring transmission dynamics more efficiently holds promise to serve as a valuable tool in preventing in particular BSI caused by nosocomial pathogens.
Background: the potency of drugs that interfere with glucose metabolism, i.e., glucose transporters (GLUT) and nicotinamide phosphoribosyltransferase (NAMPT) was analyzed in neuroendocrine tumor (NET, BON-1, and QPG-1 cells) and small cell lung cancer (SCLC, GLC-2, and GLC-36 cells) tumor cell lines. (2) Methods: the proliferation and survival rate of tumor cells was significantly affected by the GLUT-inhibitors fasentin and WZB1127, as well as by the NAMPT inhibitors GMX1778 and STF-31. (3) Results: none of the NET cell lines that were treated with NAMPT inhibitors could be rescued with nicotinic acid (usage of the Preiss–Handler salvage pathway), although NAPRT expression could be detected in two NET cell lines. We finally analyzed the specificity of GMX1778 and STF-31 in NET cells in glucose uptake experiments. As previously shown for STF-31 in a panel NET-excluding tumor cell lines, both drugs specifically inhibited glucose uptake at higher (50 μM), but not at lower (5 μM) concentrations. (4) Conclusions: our data suggest that GLUT and especially NAMPT inhibitors are potential candidates for the treatment of NET tumors.
Climate change is increasingly affecting vulnerable groups and resulting in dire social and economic consequences, especially for those in the Global South. Managing current and emerging climate-related risks will require increasing individual’s and communities’ resilience, including enhancing absorptive, adaptive, and transformative capacities. Policymakers are now considering the role that social protection policies and programmes can play in building climate resilience by contributing to these capacities. However, there is a limited understanding of the extent to which social protection instruments can influence these three resilience-related capacities. Lack of assessment tools or frameworks might contribute to limited evidence of social protection’s ability to increase climate resilience. In particular, there appear to be no frameworks or tools that help assess the role of social cash transfers (SCT) in building adaptive capacity. Based on a multi-staged literature review, we develop an adaptive capacity outcomes framework (ACOF) that can help assess SCT’s contribution to building adaptive capacity, and, consequently, resilience. The framework is then tested using impact evaluation and assessment reports from SCT programmes in Indonesia, Zambia, Ethiopia, Bangladesh, and Tanzania. The exercise finds that SCTs alone have a limited contribution to adaptive capacity outcomes, but interventions that combine cash transfers with other components such as nutrition or livelihood training show positive impacts. We find that the ACOF can support assessments of SCT’s contribution towards adaptive capacity. It can help build evidence, evaluate impacts, and through further research, can facilitate learning on SCTs' role in increasing climate resilience.
A biodegradable blend of PBAT—poly(butylene adipate-co-terephthalate)—and PLA—poly(lactic acid)—for blown film extrusion was modified with four multi-functional chain extending cross-linkers (CECL). The anisotropic morphology introduced during film blowing affects the degradation processes. Given that two CECL increased the melt flow rate (MFR) of tris(2,4-di-tert-butylphenyl)phosphite (V1) and 1,3-phenylenebisoxazoline (V2) and the other two reduced it (aromatic polycarbodiimide (V3) and poly(4,4-dicyclohexylmethanecarbodiimide) (V4)), their compost (bio-)disintegration behavior was investigated. It was significantly altered with respect to the unmodified reference blend (REF). The disintegration behavior at 30 and 60 °C was investigated by determining changes in mass, Young’s moduli, tensile strengths, elongations at break and thermal properties. In order to quantify the disintegration behavior, the hole areas of blown films were evaluated after compost storage at 60 °C to calculate the kinetics of the time dependent degrees of disintegration. The kinetic model of disintegration provides two parameters: initiation time and disintegration time. They quantify the effects of the CECL on the disintegration behavior of the PBAT/PLA compound. Differential scanning calorimetry (DSC) revealed a pronounced annealing effect during storage in compost at 30 °C, as well as the occurrence of an additional step-like increase in the heat flow at 75 °C after storage at 60 °C. The disintegration consists of processes which affect amorphous and crystalline phase of PBAT in different manner that cannot be understood by a hydrolytic chain degradation only. Furthermore, gel permeation chromatography (GPC) revealed molecular degradation only at 60 °C for the REF and V1 after 7 days of compost storage. The observed losses of mass and cross-sectional area seem to be attributed more to mechanical decay than to molecular degradation for the given compost storage times.
Citizen participation is deemed to be crucial for sustainability and resilience planning. However, generational equity has been missing from recent academic discussions regarding sustainability and resilience. Therefore, the purpose of this paper is to reintroduce the topic of the existence or absence of an intergenerational consensus on the example of a rural community and its perceived brand image attributes and development priorities. The research is based on primary data collected through an online survey, with a sample size of N = 808 respondents in Neunkirchen-Seelscheid, Germany. The data were analyzed using the Kruskal–Wallis test for the presence and/or absence of consensus among the five generations regarding brand image attributes and development priorities. The findings point to divergence between what the median values indicate as the most relevant brand image attributes and development priorities among the citizens and the areas where the Kruskal–Wallis test shows that an intergenerational consensus either does or does not exist. The results imply the need for new concepts and applied approaches to citizen participation for sustainability and resilience, where intergenerational dialogue and equity-building take center stage. In addition to the importance of the theory of citizen participation for sustainability and resilience, our results provide ample evidence for how sustainability and resilience planning documents could potentially benefit from deploying the concept of intergenerational equity. The present research provides sustainability and political science with new conceptual and methodological approaches for taking intergenerational equity into account in regional planning processes in rural and other areas.
Rosenbrock–Wanner methods for systems of stiff ordinary differential equations are well known since the seventies. They have been continuously developed and are efficient for differential-algebraic equations of index-1, as well. Their disadvantage that the Jacobian matrix has to be updated in every time step becomes more and more obsolete when automatic differentiation is used. Especially the family of Rodas methods has proven to be a standard in the Julia package DifferentialEquations. However, the fifth-order Rodas5 method undergoes order reduction for certain problem classes. Therefore, the goal of this paper is to compute a new set of coefficients for Rodas5 such that this order reduction is reduced. The procedure is similar to the derivation of the methods Rodas4P and Rodas4P2. In addition, it is possible to provide new dense output formulas for Rodas5 and the new method Rodas5P. Numerical tests show that for higher accuracy requirements Rodas5P always belongs to the best methods within the Rodas family.
The non-filarial and non-communicable disease podoconiosis affects around 4 million people and is characterized by severe leg lymphedema accompanied with painful intermittent acute inflammatory episodes, called acute dermatolymphangioadenitis (ADLA) attacks. Risk factors have been associated with the disease but the mechanisms of pathophysiology remain uncertain. Lymphedema can lead to skin lesions, which can serve as entry points for bacteria that may cause ADLA attacks leading to progression of the lymphedema. However, the microbiome of the skin of affected legs from podoconiosis individuals remains unclear. Thus, we analysed the skin microbiome of podoconiosis legs using next generation sequencing. We revealed a positive correlation between increasing lymphedema severity and non-commensal anaerobic bacteria, especially Anaerococcus provencensis, as well as a negative correlation with the presence of Corynebacterium, a constituent of normal skin flora. Disease symptoms were generally linked to higher microbial diversity and richness, which deviated from the normal composition of the skin. These findings show an association of distinct bacterial taxa with lymphedema stages, highlighting the important role of bacteria for the pathogenesis of podoconiosis and might enable a selection of better treatment regimens to manage ADLA attacks and disease progression.
The transport of carbon dioxide through pipelines is one of the important components of Carbon dioxide Capture and Storage (CCS) systems that are currently being developed. If high flow rates are desired a transportation in the liquid or supercritical phase is to be preferred. For technical reasons, the transport must stay in that phase, without transitioning to the gaseous state. In this paper, a numerical simulation of the stationary process of carbon dioxide transport with impurities and phase transitions is considered. We use the Homogeneous Equilibrium Model (HEM) and the GERG-2008 thermodynamic equation of state to describe the transport parameters. The algorithms used allow to solve scenarios of carbon dioxide transport in the liquid or supercritical phase, with the detection of approaching the phase transition region. Convergence of the solution algorithms is analyzed in connection with fast and abrupt changes of the equation of state and the enthalpy function in the region of phase transitions.
In the project EILD.nrw, Open Educational Resources (OER) have been developed for teaching databases. Lecturers can use the tools and courses in a variety of learning scenarios. Students of computer science and application subjects can learn the complete life cycle of databases. For this purpose, quizzes, interactive tools, instructional videos, and courses for learning management systems are developed and published under a Creative Commons license. We give an overview of the developed OERs according to subject, description, teaching form, and format. Following, we describe how licencing, sustainability, accessibility, contextualization, content description, and technical adaptability are implemented. The feedback of students in ongoing classes are evaluated.
The purpose of this study is to extend previous research on brand innovation by uncovering the process of family winery branding in relation to the new product launch in the VUCA market on the case of three Serbian wineries. The study deploys qualitative oriented and empirical approach in presenting a multi-case study. Three semi-structured telephone interviews were conducted with owners and/or managers in these three wineries. The results demonstrate that all three family wineries are offering high-end product for the domestic market with smaller one still experimenting with strategic direction of innovating for high-end market while the two larger ones putting focus either on autochthonous grape varieties with eye-cathicng labels or authentic brand identity with strong storytelling. Another important aspect identified is the frugal nature of product launch in the family wineries due to limited resources. The paper presents is among only few studies on new product development in wine business literature.
The perceptual upright results from the multisensory integration of the directions indicated by vision and gravity as well as a prior assumption that upright is towards the head. The direction of gravity is signalled by multiple cues, the predominant of which are the otoliths of the vestibular system and somatosensory information from contact with the support surface. Here, we used neutral buoyancy to remove somatosensory information while retaining vestibular cues, thus "splitting the gravity vector" leaving only the vestibular component. In this way, neutral buoyancy can be used as a microgravity analogue. We assessed spatial orientation using the oriented character recognition test (OChaRT, which yields the perceptual upright, PU) under both neutrally buoyant and terrestrial conditions. The effect of visual cues to upright (the visual effect) was reduced under neutral buoyancy compared to on land but the influence of gravity was unaffected. We found no significant change in the relative weighting of vision, gravity, or body cues, in contrast to results found both in long-duration microgravity and during head-down bed rest. These results indicate a relatively minor role for somatosensation in determining the perceptual upright in the presence of vestibular cues. Short-duration neutral buoyancy is a weak analogue for microgravity exposure in terms of its perceptual consequences compared to long-duration head-down bed rest.
Solar photovoltaic power output is modulated by atmospheric aerosols and clouds and thus contains valuable information on the optical properties of the atmosphere. As a ground-based data source with high spatiotemporal resolution it has great potential to complement other ground-based solar irradiance measurements as well as those of weather models and satellites, thus leading to an improved characterisation of global horizontal irradiance. In this work several algorithms are presented that can retrieve global tilted and horizontal irradiance and atmospheric optical properties from solar photovoltaic data and/or pyranometer measurements. The method is tested on data from two measurement campaigns that took place in the Allgäu region in Germany in autumn 2018 and summer 2019, and the results are compared with local pyranometer measurements as well as satellite and weather model data. Using power data measured at 1 Hz and averaged to 1 min resolution along with a non-linear photovoltaic module temperature model, global horizontal irradiance is extracted with a mean bias error compared to concurrent pyranometer measurements of 5.79 W m−2 (7.35 W m−2) under clear (cloudy) skies, averaged over the two campaigns, whereas for the retrieval using coarser 15 min power data with a linear temperature model the mean bias error is 5.88 and 41.87 W m−2 under clear and cloudy skies, respectively.
During completely overcast periods the cloud optical depth is extracted from photovoltaic power using a lookup table method based on a 1D radiative transfer simulation, and the results are compared to both satellite retrievals and data from the Consortium for Small-scale Modelling (COSMO) weather model. Potential applications of this approach for extracting cloud optical properties are discussed, as well as certain limitations, such as the representation of 3D radiative effects that occur under broken-cloud conditions. In principle this method could provide an unprecedented amount of ground-based data on both irradiance and optical properties of the atmosphere, as long as the required photovoltaic power data are available and properly pre-screened to remove unwanted artefacts in the signal. Possible solutions to this problem are discussed in the context of future work.
Trust your guts: fostering embodied knowledge and sustainable practices through voice interaction
(2023)
Despite various attempts to prevent food waste and motivate conscious food handling, household members find it difficult to correctly assess the edibility of food. With the rise of ambient voice assistants, we did a design case study to support households’ in situ decision-making process in collaboration with our voice agent prototype, Fischer Fritz. Therefore, we conducted 15 contextual inquiries to understand food practices at home. Furthermore, we interviewed six fish experts to inform the design of our voice agent on how to guide consumers and teach food literacy. Finally, we created a prototype and discussed with 15 consumers its impact and capability to convey embodied knowledge to the human that is engaged as sensor. Our design research goes beyond current Human-Food Interaction automation approaches by emphasizing the human-food relationship in technology design and demonstrating future complementary human-agent collaboration with the aim to increase humans’ competence to sense, think, and act.
The cystic fibrosis transmembrane conductance regulator (CFTR) anion channel and the epithelial Na+ channel (ENaC) play essential roles in transepithelial ion and fluid transport in numerous epithelial tissues. Inhibitors of both channels have been important tools for defining their physiological role in vitro. However, two commonly used CFTR inhibitors, CFTRinh-172 and GlyH-101, also inhibit non-CFTR anion channels, indicating they are not CFTR specific. However, the potential off-target effects of these inhibitors on epithelial cation channels has to date not been addressed. Here, we show that both CFTR blockers, at concentrations routinely employed by many researchers, caused a significant inhibition of store-operated calcium entry (SOCE) that was time-dependent, poorly reversible and independent of CFTR. Patch clamp experiments showed that both CFTRinh-172 and GlyH-101 caused a significant block of Orai1-mediated whole cell currents, establishing that they likely reduce SOCE via modulation of this Ca2+ release-activated Ca2+ (CRAC) channel. In addition to off-target effects on calcium channels, both inhibitors significantly reduced human αβγ-ENaC-mediated currents after heterologous expression in Xenopus oocytes, but had differential effects on δβγ-ENaC function. Molecular docking identified two putative binding sites in the extracellular domain of ENaC for both CFTR blockers. Together, our results indicate that caution is needed when using these two CFTR inhibitors to dissect the role of CFTR, and potentially ENaC, in physiological processes.
Background
Consumers rely heavily on online user reviews when shopping online and cybercriminals produce fake reviews to manipulate consumer opinion. Much prior research focuses on the automated detection of these fake reviews, which are far from perfect. Therefore, consumers must be able to detect fake reviews on their own. In this study we survey the research examining how consumers detect fake reviews online.
Methods
We conducted a systematic literature review over the research on fake review detection from the consumer-perspective. We included academic literature giving new empirical data. We provide a narrative synthesis comparing the theories, methods and outcomes used across studies to identify how consumers detect fake reviews online.
Results
We found only 15 articles that met our inclusion criteria. We classify the most often used cues identified into five categories which were (1) review characteristics (2) textual characteristics (3) reviewer characteristics (4) seller characteristics and (5) characteristics of the platform where the review is displayed.
Discussion
We find that theory is applied inconsistently across studies and that cues to deception are often identified in isolation without any unifying theoretical framework. Consequently, we discuss how such a theoretical framework could be developed.
ESKAPEE Pathogen Biofilm Control on Surfaces with Probiotic Lactobacillaceae and Bacillus species
(2023)
Combatting the rapidly growing threat of antimicrobial resistance and reducing prevalence and transmission of ESKAPEE pathogens in healthcare settings requires innovative strategies, one of which is displacing these pathogens using beneficial microorganisms. Our review comprehensively examines the evidence of probiotic bacteria displacing ESKAPEE pathogens, with a focus on inanimate surfaces. A systematic search was conducted using the PubMed and Web of Science databases on 21 December 2021, and 143 studies were identified examining the effects of Lactobacillaceae and Bacillus spp. cells and products on the growth, colonization, and survival of ESKAPEE pathogens. While the diversity of study methods limits evidence analysis, results presented by narrative synthesis demonstrate that several species have the potential as cells or their products or supernatants to displace nosocomial infection-causing organisms in a variety of in vitro and in vivo settings. Our review aims to aid the development of new promising approaches to control pathogen biofilms in medical settings by informing researchers and policymakers about the potential of probiotics to combat nosocomial infections. More targeted studies are needed to assess safety and efficacy of different probiotic formulations, followed by large-scale studies to assess utility in infection control and medical practice.
Isovaleric acidemia (IVA), due to isovaleryl-CoA dehydrogenase (IVD) deficiency, results in the accumulation of isovaleryl-CoA, isovaleric acid and secondary metabolites. The increase in these metabolites decreases mitochondrial energy production and increases oxidative stress. This contributes to the neuropathological features of IVA. A general assumption in the literature exists that glycine N-acyltransferase (GLYAT) plays a role in alleviating the symptoms experienced by IVA patients through the formation of N-isovalerylglycine. GLYAT forms part of the phase II glycine conjugation pathway in the liver and detoxifies excess acyl-CoA’s namely benzoyl-CoA. However, very few studies support GLYAT as the enzyme that conjugates isovaleryl-CoA to glycine. Furthermore, GLYATL1, a paralogue of GLYAT, conjugates phenylacetyl-CoA to glutamine. Therefore, GLYATL1 might also be a candidate for the formation of N-isovalerylglycine. Based on the findings from the literature review, we proposed that GLYAT or GLYATL1 can form N-isovalerylglycine in IVA patients. To test this hypothesis, we performed an in-silico analysis to determine which enzyme is more likely to conjugate isovaleryl-CoA with glycine using AutoDock Vina. Thereafter, we performed in vitro validation using purified enzyme preparations. The in-silico and in vitro findings suggested that both enzymes could form N-isovaleryglycine albeit at lower affinities than their preferred substrates. Furthermore, an increase in glycine concentration does not result in an increase in N-isovalerylglycine formation. The results from the critical literature appraisal, in-silico, and in vitro validation, suggest the importance of further investigating the reaction kinetics and binding behaviors between these substrates and enzymes in understanding the pathophysiology of IVA.
Indoor spaces exhibit microbial compositions that are distinctly dissimilar from one another and from outdoor spaces. Unique in this regard, and a topic that has only recently come into focus, is the microbiome of hospitals. While the benefits of knowing exactly which microorganisms propagate how and where in hospitals are undoubtedly beneficial for preventing hospital-acquired infections, there are, to date, no standardized procedures on how to best study the hospital microbiome. Our study aimed to investigate the microbiome of hospital sanitary facilities, outlining the extent to which hospital microbiome analyses differ according to sample-preparation protocol. For this purpose, fifty samples were collected from two separate hospitals—from three wards and one hospital laboratory—using two different storage media from which DNA was extracted using two different extraction kits and sequenced with two different primer pairs (V1–V2 and V3–V4). There were no observable differences between the sample-preservation media, small differences in detected taxa between the DNA extraction kits (mainly concerning Propionibacteriaceae), and large differences in detected taxa between the two primer pairs V1–V2 and V3–V4. This analysis also showed that microbial occurrences and compositions can vary greatly from toilets to sinks to showers and across wards and hospitals. In surgical wards, patient toilets appeared to be characterized by lower species richness and diversity than staff toilets. Which sampling sites are the best for which assessments should be analyzed in more depth. The fact that the sample processing methods we investigated (apart from the choice of primers) seem to have changed the results only slightly suggests that comparing hospital microbiome studies is a realistic option. The observed differences in species richness and diversity between patient and staff toilets should be further investigated, as these, if confirmed, could be a result of excreted antimicrobials.
Universities, Entrepreneurship and Enterprise Development in Africa – Conference Proceedings 2022
(2023)
These proceedings are the outcome of the 10th annual joint conference on "Universities Entrepreneurship and Enterprise Development in Africa".
These proceedings document the culmination of the 10th annual joint conference on "Universities, Entrepreneurship and Enterprise Development in Africa," which was held on the 8th and 9th of September 2022 at the Campus Sankt Augustin, Hochschule Bonn-Rhein-Sieg University of Applied Sciences. The conference was a collaboration between the University of Cape Coast, Ghana, and Hochschule Bonn-Rhein-Sieg University of Applied Sciences, Germany.
Accurate forecasting of solar irradiance is crucial for the integration of solar energy into the power grid, power system planning, and the operation of solar power plants. The Weather Research and Forecasting (WRF) model, with its solar radiation (WRF-Solar) extension, has been used to forecast solar irradiance in various regions worldwide. However, the application of the WRF-Solar model for global horizontal irradiance (GHI) forecasting in West Africa, specifically in Ghana, has not been studied. This study aims to evaluate the performance of the WRF-Solar model for GHI forecasting in Ghana, focusing on 3 health centers (Kologo, Kumasi and Akwatia) for the year 2021. We applied a two one-way nested domain (D1=15 km and D2=3 km) to investigate the ability of the WRF solar model to forecast GHI up to 72 hours in advance under different atmospheric conditions. The initial and lateral boundary conditions were taken from the ECMWF operational forecasts. In addition, the optical aerosol depth (AOD) data at 550 nm from the Copernicus Atmosphere Monitoring Service (CAMS) were considered. The study uses statistical metrics such as mean bias error (MBE), root mean square error (RMSE), to evaluate the performance of the WRF-Solar model with the observational data obtained from automatic weather stations in the three health centers in Ghana. The results of this study will contribute to the understanding of the capabilities and limitations of the WRF-Solar model for forecasting GHI in West Africa, particularly in Ghana, and provide valuable information for stakeholders involved in solar energy generation and grid integration towards optimized management of in the region.
Pitfalls of using sequence databases for heterologous expression studies - a technical review
(2023)
Synthesis of DNA fragments based on gene sequences available in public resources has become an efficient and affordable method that gradually replaced traditional cloning efforts such as PCR cloning from cDNA. However, database entries based on genome sequencing results are prone to errors which can lead to false sequence information and, ultimately, errors in functional characterization of proteins such as ion channels and transporters in heterologous expression systems. We have identified five common problems that repeatedly appear in public resources: 1) Not every gene has yet been annotated; 2) Not all gene annotations are necessarily correct; 3) Transcripts may contain automated corrections; 4) There are mismatches between gene, mRNA, and protein sequences; and 5) Splicing patterns often lack experimental validation. This technical review highlights and provides a strategy to bypass these issues in order to avoid critical mistakes that could impact future studies of any gene/protein of interest in heterologous expression systems. Abstract figure legend Projects involving heterologous gene expression are often characterised by similar steps. Initially, database research (A) is necessary to retrieve information of full of partial sequences of a gene of interest. A multitude of genome assemblies are annotated and deposited in public databases or that are available for refined search options using individual sequence information. The search results need to be scrutinised and compared to already available information (B). Once the sequence has been determined, DNA synthesis (C) by PCR or commercial synthesis are necessary for further cloning procedures (D). Eventually, the DNA needs to be transfected (E) and expressed in, e.g., eukaryotic cells (F). Finally, the expression of the gene of interest needs to be documented and its function analysed (G). This article is protected by copyright. All rights reserved.
Microbiome analyses are essential for understanding microorganism composition and diversity, but interpretation is often challenging due to biological and technical variables. DNA extraction is a critical step that can significantly bias results, particularly in samples containing a high abundance of challenging-to-lyse microorganisms. Taking into consideration the distinctive microenvironments observed in different bodily locations, our study sought to assess the extent of bias introduced by suboptimal bead-beating during DNA extraction across diverse clinical sample types. The question was whether complex targeted extraction methods are always necessary for reliable taxonomic abundance estimation through amplicon sequencing or if simpler alternatives are effective for some sample types. Hence, for four different clinical sample types (stool, cervical swab, skin swab, and hospital surface swab samples), we compared the results achieved from extracting targeted manual protocols routinely used in our research lab for each sample type with automated protocols specifically not designed for that purpose. Unsurprisingly, we found that for the stool samples, manual extraction protocols with vigorous bead-beating were necessary in order to avoid erroneous taxa proportions on all investigated taxonomic levels and, in particular, false under- or overrepresentation of important genera such as Blautia, Faecalibacterium, and Parabacteroides. However, interestingly, we found that the skin and cervical swab samples had similar results with all tested protocols. Our results suggest that the level of practical automation largely depends on the expected microenvironment, with skin and cervical swabs being much easier to process than stool samples. Prudent consideration is necessary when extending the conclusions of this study to applications beyond rough estimations of taxonomic abundance.
The epithelial sodium channel (ENaC) is a key regulator of sodium homeostasis that contributes to blood pressure control. ENaC open probability is adjusted by extracellular sodium ions, a mechanism referred to as sodium self-inhibition (SSI). With a growing number of identified ENaC gene variants associated with hypertension, there is an increasing demand for medium- to high-throughput assays allowing the detection of alterations in ENaC activity and SSI. We evaluated a commercially available automated two-electrode voltage-clamp (TEVC) system that records transmembrane currents of ENaC-expressing Xenopus oocytes in 96-well microtiter plates. We employed guinea pig, human and Xenopus laevis ENaC orthologs that display specific magnitudes of SSI. While demonstrating some limitations over traditional TEVC systems with customized perfusion chambers, the automated TEVC system was able to detect the established SSI characteristics of the employed ENaC orthologs. We were able to confirm a reduced SSI in a gene variant, leading to C479R substitution in the human α-ENaC subunit that has been reported in Liddle syndrome. In conclusion, automated TEVC in Xenopus oocytes can detect SSI of ENaC orthologs and variants associated with hypertension. For precise mechanistic and kinetic analyses of SSI, optimization for faster solution exchange rates is recommended.
Atomic oxygen is a key species in the mesosphere and thermosphere of Venus. It peaks in the transition region between the two dominant atmospheric circulation patterns, the retrograde super-rotating zonal flow below 70 km and the subsolar to antisolar flow above 120 km altitude. However, past and current detection methods are indirect and based on measurements of other molecules in combination with photochemical models. Here, we show direct detection of atomic oxygen on the dayside as well as on the nightside of Venus by measuring its ground-state transition at 4.74 THz (63.2 µm). The atomic oxygen is concentrated at altitudes around 100 km with a maximum column density on the dayside where it is generated by photolysis of carbon dioxide and carbon monoxide. This method enables detailed investigations of the Venusian atmosphere in the region between the two atmospheric circulation patterns in support of future space missions to Venus.
Wissenschaft kann maßgeblich zum Lösen gesellschaftlich relevanter Probleme beitragen (Popper, 1996). Allein daraus lassen sich ethisch begründete moralische Erwartungen und Anforderungen an die Verantwortung auch in der wissenschaftlichen Hochschul(aus-)bildung ableiten. Jedoch halten sich viele der großen aktuell virulenten Probleme nicht an die Grenzen von wissenschaftlichen Disziplinen, ihre Lösung erscheint insofern nur interdisziplinär sinnvoll möglich. Die in diesem Beitrag aufgestellte Vermutung über einen sogenannten geheimen Lehrplan adressiert dieses die Disziplinen übergreifende Verhältnis von Wissenschaft und Moral in der Hochschullehre der Bundesrepublik Deutschland im Konnex einer humanistisch ausgerichteten Aufklärung. Es gilt, diesen gemutmaßten geheimen Lehrplan aufzuhellen und einen interdisziplinären Diskurs darüber anzuregen.
Konsument:innen scheint die Lust vergangen zu sein, individuellen Kleidungsstil auszudrücken, da der Onlinehandel zur Steigerung von Auswahlmöglichkeiten geführt hat. Dies mündet unter anderem in der Nutzung virtueller Stilberatungen. Diese Dienste dienen dazu, Kund:innen möglichst effizient, individuell und authentisch „zu machen“, und sind somit als paradoxaler Demokratisierungsprozess zu verstehen. Eine Erklärung für den Erfolg dieser Dienstleistungen soll mit Reckwitz’ Singularisierungsthese gestützt werden.
Hochschulen und Gemeinden sind einem zunehmenden und permanenten Veränderungs- sowie Finanzierungsdruck ausgesetzt. Zudem haben Kommunen einen hohen Bedarf an Know-how, Kreativität, Innovationen, Personal sowie an Fachwissen in bestimmten Bereichen. Hochschulen auf der anderen Seite verfügen durch ihre WissenschaftlerInnen und Studierenden genau über diese Ressourcen. Vor diesem Hintergrund ist im Rahmen des BMBF-finanzierten Projekts „Innovative Hochschule“ ein Transfer-Kooperationsprojekt („Kommunale Innovationspartnerschaften“) zwischen der Hochschule Bonn-Rhein- Sieg und der Kommune Neunkirchen-Seelscheid, ca. 30 km östlich der Bundesstadt Bonn gelegen, durchgeführt worden. Die im Rahmen dieses Reallabors gewonnenen Erkenntnisse wurden im Format eines Toolkits zusammengefasst. Dies kann als Handlungsleitfaden auch für andere Hochschul-Kommune-Kooperationen verwendet werden. Eine Hochschul-Kommune-Kooperation stellt dabei eine projektbasierte Zusammenarbeit zwischen einer oder mehreren Hochschulen mit der politischen Vertretung einer oder mehrerer Kommunen sowie deren lokaler Wirtschaft und/oder Zivilgesellschaft dar.
Host-derived succinate accumulates in the airways during bacterial infection. Here, we show that luminal succinate activates murine tracheal brush (tuft) cells through a signaling cascade involving the succinate receptor 1 (SUCNR1), phospholipase Cβ2, and the cation channel transient receptor potential channel subfamily M member 5 (TRPM5). Stimulated brush cells then trigger a long-range Ca2+ wave spreading radially over the tracheal epithelium through a sequential signaling process. First, brush cells release acetylcholine, which excites nearby cells via muscarinic acetylcholine receptors. From there, the Ca2+ wave propagates through gap junction signaling, reaching also distant ciliated and secretory cells. These effector cells translate activation into enhanced ciliary activity and Cl- secretion, which are synergistic in boosting mucociliary clearance, the major innate defense mechanism of the airways. Our data establish tracheal brush cells as a central hub in triggering a global epithelial defense program in response to a danger-associated metabolite.
Solar photovoltaic power output is modulated by atmospheric aerosols and clouds and thus contains valuable information on the optical properties of the atmosphere. As a ground-based data source with high spatiotemporal resolution it has great potential to complement other ground-based solar irradiance measurements as well as those of weather models and satellites, thus leading to an improved characterisation of global horizontal irradiance. In this work several algorithms are presented that can retrieve global tilted and horizontal irradiance and atmospheric optical properties from solar photovoltaic data and/or pyranometer measurements. Specifically, the aerosol (cloud) optical depth is inferred during clear sky (completely overcast) conditions. The method is tested on data from two measurement campaigns that took place in Allgäu, Germany in autumn 2018 and summer 2019, and the results are compared with local pyranometer measurements as well as satellite and weather model data. Using power data measured at 1 Hz and averaged to 1 minute resolution, the hourly global horizontal irradiance is extracted with a mean bias error compared to concurrent pyranometer measurements of 11.45 W m−2, averaged over the two campaigns, whereas for the retrieval using coarser 15 minute power data the mean bias error is 16.39 W m−2.
During completely overcast periods the cloud optical depth is extracted from photovoltaic power using a lookup table method based on a one-dimensional radiative transfer simulation, and the results are compared to both satellite retrievals as well as data from the COSMO weather model. Potential applications of this approach for extracting cloud optical properties are discussed, as well as certain limitations, such as the representation of 3D radiative effects that occur under broken cloud conditions. In principle this method could provide an unprecedented amount of ground-based data on both irradiance and optical properties of the atmosphere, as long as the required photovoltaic power data are available and are properly pre-screened to remove unwanted artefacts in the signal. Possible solutions to this problem are discussed in the context of future work.
Estimates of global horizontal irradiance (GHI) from reanalysis and satellite-based data are the most important information for the design and monitoring of PV systems in Africa, but their quality is unknown due to the lack of in situ measurements. In this study, we evaluate the performance of hourly GHI from state-of-the-art reanalysis and satellite-based products (ERA5, CAMS, MERRA-2, and SARAH-2) with 37 quality-controlled in situ measurements from novel meteorological networks established in Burkina Faso and Ghana under different weather conditions for the year 2020. The effects of clouds and aerosols are also considered in the analysis by using common performance measures for the main quality attributes and a new overall performance value for the joint assessment. The results show that satellite data performs better than reanalysis data under different atmospheric conditions. Nevertheless, both data sources exhibit significant bias of more than 150 W/m2 in terms of RMSE under cloudy skies compared to clear skies. The new measure of overall performance clearly shows that the hourly GHI derived from CAMS and SARAH-2 could serve as viable alternative data for assessing solar energy in the different climatic zones of West Africa.
PURPOSE
Cervical cancer (CC) is caused by a persistent high-risk human papillomavirus (hrHPV) infection. The cervico-vaginal microbiome may influence the development of (pre)cancer lesions. Aim of the study was (i) to evaluate the new CC screening program in Germany for the detection of high-grade CC precursor lesions, and (ii) to elucidate the role of the cervico-vaginal microbiome and its potential impact on cervical dysplasia.
METHODS
The microbiome of 310 patients referred to colposcopy was determined by amplicon sequencing and correlated with clinicopathological parameters.
RESULTS
Most patients were referred for colposcopy due to a positive hrHPV result in two consecutive years combined with a normal PAP smear. In 2.1% of these cases, a CIN III lesion was detected. There was a significant positive association between the PAP stage and Lactobacillus vaginalis colonization and between the severity of CC precursor lesions and Ureaplasma parvum.
CONCLUSION
In our cohort, the new cervical cancer screening program resulted in a low rate of additional CIN III detected. It is questionable whether these cases were only identified earlier with additional HPV testing before the appearance of cytological abnormalities, or the new screening program will truly increase the detection rate of CIN III in the long run. Colonization with U. parvum was associated with histological dysplastic lesions. Whether targeted therapy of this pathogen or optimization of the microbiome prevents dysplasia remains speculative.
Stably stratified Taylor–Green vortex simulations are performed by lattice Boltzmann methods (LBM) and compared to other recent works using Navier–Stokes solvers. The density variation is modeled with a separate distribution function in addition to the particle distribution function modeling the flow physics. Different stencils, forcing schemes, and collision models are tested and assessed. The overall agreement of the lattice Boltzmann solutions with reference solutions from other works is very good, even when no explicit subgrid model is used, but the quality depends on the LBM setup. Although the LBM forcing scheme is not decisive for the quality of the solution, the choice of the collision model and of the stencil are crucial for adequate solutions in underresolved conditions. The LBM simulations confirm the suppression of vertical flow motion for decreasing initial Froude numbers. To gain further insight into buoyancy effects, energy decay, dissipation rates, and flux coefficients are evaluated using the LBM model for various Froude numbers.
Neutral buoyancy has been used as an analog for microgravity from the earliest days of human spaceflight. Compared to other options on Earth, neutral buoyancy is relatively inexpensive and presents little danger to astronauts while simulating some aspects of microgravity. Neutral buoyancy removes somatosensory cues to the direction of gravity but leaves vestibular cues intact. Removal of both somatosensory and direction of gravity cues while floating in microgravity or using virtual reality to establish conflicts between them has been shown to affect the perception of distance traveled in response to visual motion (vection) and the perception of distance. Does removal of somatosensory cues alone by neutral buoyancy similarly impact these perceptions? During neutral buoyancy we found no significant difference in either perceived distance traveled nor perceived size relative to Earth-normal conditions. This contrasts with differences in linear vection reported between short- and long-duration microgravity and Earth-normal conditions. These results indicate that neutral buoyancy is not an effective analog for microgravity for these perceptual effects.
Improving insect conservation management through insect monitoring and stakeholder involvement
(2023)
In recent years, the decline of insect biodiversity and the imminent loss of provided ecosystem functions and services has received public attention and raised the demand for political action. The complex, multi-causal contributors to insect decline require a broad interdisciplinary and cross-sectoral approach that addresses ecological and social aspects to find sustainable solutions. The project Diversity of Insects in Nature protected Areas (DINA) assesses insect communities in 21 nature reserves in Germany, and considers interactions with plant diversity, pesticide exposure, spatial and climatic factors. The nature reserves border on agricultural land, to investigate impacts on insect diversity. Part of the project is to obtain scientific data from Malaise traps and their surroundings, while another part involves relevant stakeholders to identify opportunities and obstacles to insect diversity conservation. Our results indicate a positive association between insect richness and biomass. Insect richness was negatively related to the number of stationary pesticides (soil and vegetation), pesticides measured in ethanol, the amount of area in agricultural production, and precipitation. Our qualitative survey along with stakeholder interviews show that there is general support for insect conservation, while at the same time the stakeholders expressed the need for more information and data on insect biodiversity, as well as flexible policy options. We conclude that conservation management for insects in protected areas should consider a wider landscape. Local targets of conservation management will have to integrate different stakeholder perspectives. Scientifically informed stakeholder dialogues can mediate conflicts of interests, knowledge, and values to develop mutual conservation scenarios.
Pursuant to Sustainable Development Goal (SDG) 15 of the 2030 Agenda for Sustainable Development of the United Nations, one pivotal target is to halt biodiversity loss. This paper’s objective is to analyze why and how German farmers hesitate to implement more than the prescriptive measures with regard to cross compliance and direct payments under the European Common Agricultural Policy (CAP) and what their aspirations are for possible incentives to bring biodiversity into focus. By applying a mixed methods approach, we investigate the experience of individual farmers by means of a qualitative approach followed by a quantitative study. This analysis sheds light on how farmers perceive indirect influencing factors and how these factors play a non-negligible role in farmers´ commitment to biodiversity. Economy, policy and society are intertwined and need to be considered from a multi-faceted perspective. In addition, an in-depth analysis is conducted based on online focus group discussions to determine whether farmers accept financial support, focusing on both action- and success-oriented payments. Our results highlight the importance of paying attention to the heterogeneity of farmers, their locations and, consequently, farmers’ different views on indirect drivers influencing agricultural processes, showing the complexity of the problem. Although farmers’ expectations can be met with financial allocations, other aspects must also be taken into account.
Digital ecosystems are driving the digital transformation of business models. Meanwhile, the associated processing of personal data within these complex systems poses challenges to the protection of individual privacy. In this paper, we explore these challenges from the perspective of digital ecosystems' platform providers. To this end, we present the results of an interview study with seven data protection officers representing a total of 12 digital ecosystems in Germany. We identified current and future challenges for the implementation of data protection requirements, covering issues on legal obligations and data subject rights. Our results support stakeholders involved in the implementation of privacy protection measures in digital ecosystems, and form the foundation for future privacy-related studies tailored to the specifics of digital ecosystems.
A company's financial documents use tables along with text to organize the data containing key performance indicators (KPIs) (such as profit and loss) and a financial quantity linked to them. The KPI’s linked quantity in a table might not be equal to the similarly described KPI's quantity in a text. Auditors take substantial time to manually audit these financial mistakes and this process is called consistency checking. As compared to existing work, this paper attempts to automate this task with the help of transformer-based models. Furthermore, for consistency checking it is essential for the table's KPIs embeddings to encode the semantic knowledge of the KPIs and the structural knowledge of the table. Therefore, this paper proposes a pipeline that uses a tabular model to get the table's KPIs embeddings. The pipeline takes input table and text KPIs, generates their embeddings, and then checks whether these KPIs are identical. The pipeline is evaluated on the financial documents in the German language and a comparative analysis of the cell embeddings' quality from the three tabular models is also presented. From the evaluation results, the experiment that used the English-translated text and table KPIs and Tabbie model to generate table KPIs’ embeddings achieved an accuracy of 72.81% on the consistency checking task, outperforming the benchmark, and other tabular models.