Refine
H-BRS Bibliography
- yes (260) (remove)
Departments, institutes and facilities
- Fachbereich Informatik (69)
- Fachbereich Wirtschaftswissenschaften (65)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (42)
- Fachbereich Angewandte Naturwissenschaften (39)
- Fachbereich Ingenieurwissenschaften und Kommunikation (38)
- Präsidium (25)
- Institut für Verbraucherinformatik (IVI) (17)
- Institute of Visual Computing (IVC) (15)
- Fachbereich Sozialpolitik und Soziale Sicherung (14)
- Institut für Cyber Security & Privacy (ICSP) (11)
Document Type
- Conference Object (85)
- Article (82)
- Part of Periodical (26)
- Part of a Book (24)
- Book (monograph, edited volume) (17)
- Contribution to a Periodical (8)
- Report (8)
- Conference Proceedings (2)
- Doctoral Thesis (2)
- Working Paper (2)
Year of publication
- 2016 (260) (remove)
Keywords
- Lehrbuch (6)
- User Experience (3)
- Betriebswirtschaftslehre (2)
- Corporate Social Responsibility (2)
- Dielectric analysis (2)
- E-Business (2)
- Fas (2)
- IEEE802.11 (2)
- Intelligent Transport System (2)
- Kommunikation (2)
- Large, high-resolution displays (2)
- Lignin (2)
- Living Lab (2)
- Long-Distance WiFi (2)
- Management (2)
- Numerical optimization (2)
- Single Instruction Multiple Data (SIMD) (2)
- SpMV (2)
- Sparse Matrix Vector multiply (SpMV) (2)
- Vehicular Ad hoc Networks (2)
- WiLD (2)
- citizen participation (2)
- dielectric analysis (2)
- food systems (2)
- intrinsics (2)
- reaction kinetics (2)
- regional food production (2)
- social empirical research (2)
- sustainable transition (2)
- urban green spaces (2)
- (Raub-)Kopien (1)
- 0-1-Integer-Problem (1)
- 31P NMR (1)
- 3D user interface (1)
- 5-Oxoprolinase (1)
- 5-oxoprolinuria (1)
- ARM Cortex M3 Processor (1)
- Access regulation (1)
- Actuators (1)
- Adaptive optics (1)
- Advanced Driver Assistance Systems (1)
- Africa (1)
- Age estimation (1)
- Agile software development (1)
- Alltagsmobilität (1)
- Aminoacylase 1 (1)
- Analytics (1)
- Analytische Chemie (1)
- Aneignungsstudie (1)
- Antibiotics resistance (1)
- Arbeitgeber (1)
- Arbeitnehmer (1)
- Arbeitsplatz (1)
- Aspartic acid racemization (1)
- Aspartoacylase (1)
- Aufzinsungs-, Abzinsungsfaktoren (1)
- Autoimmune disease (1)
- Automation (1)
- Autonomy (1)
- B-cell lymphoma (1)
- BCL2 (1)
- Beech wood (1)
- Benchmarking (1)
- Biobased polymeric material (1)
- Biochemische Analyse (1)
- Biomass (1)
- Biometrics of chips (1)
- Blocking (1)
- Business Case (1)
- Business Models (1)
- Bürgerliches Recht (1)
- CD30+ cells (1)
- CIK cells (1)
- CIK-Zellen (1)
- CUDA (1)
- Camphorquinone (1)
- Canavan disease (1)
- Cannabinoids (1)
- Case study (1)
- Chaetocin (1)
- Chemical resource (1)
- Code Generation (1)
- Collaboration and e-Services (1)
- Community of Practice (1)
- Compensation schemes (1)
- Computer-Assisted Mobility Research (1)
- Consumer Online Behaviour (1)
- Controlling (1)
- Cooperative Awareness Message (1)
- Country Risks (1)
- Cutting sticks-Problem (1)
- Depth Of Cure (1)
- Desinfektion (1)
- Deutschland (1)
- Digitale Güter (1)
- Digitaltechnik (1)
- Dimethacrylate (1)
- Directed Acyclic Graph (1)
- Directional Antenna (1)
- Distributed rendering (1)
- Domain-Specific Modeling Languages, (1)
- Drug resistance (1)
- Dystonia (1)
- Einführung (1)
- Elektronische Märkte (1)
- Elliptic Curve Cryptography (1)
- Elution (1)
- Embedded software (1)
- Empirical study (1)
- Endosomes (1)
- Engineering (1)
- Enterprise Engineering (1)
- Enterprise Information Systems (1)
- Enterprise Sustainability (1)
- Entlohnungssysteme (1)
- Ethnographic Research (1)
- Exergame (1)
- Exergames (1)
- Experiment (1)
- Experten (1)
- FGR (1)
- Factory instrumentation (1)
- Failure analysis (1)
- Fall prevention (1)
- Fallbeispiel (1)
- Fast moving consumer goods (1)
- Fault analysis (1)
- Fault-channel watermarks (1)
- Field Study (1)
- Field programmable gate arrays (1)
- Filler content (1)
- Flussnetz (1)
- Fog (1)
- Force (1)
- Force field (1)
- Formelsammlung (1)
- Fourier-transform infrared spectroscopy (1)
- Framing (1)
- Free space optics (1)
- Friction (1)
- Functional Value (1)
- Funktionsnutzen (1)
- GC/MS (1)
- GPU (1)
- Game design (1)
- Gas chromatography/mass spectrometry (GC/MS) (1)
- Gebrauchsgüter (1)
- Glutathione synthetase (1)
- Gnu Linear Programming Kit (1)
- Gradient-boosting (1)
- Graphentheorie (1)
- Grasping (1)
- HDAC inhibitor (1)
- HEB mixer (1)
- HPC (1)
- Hand Tracking (1)
- Heart Rate Prediction (1)
- High-performance computing (1)
- Histograms (1)
- Hochschule (1)
- IFRS (1)
- IP protection (1)
- ISM: kinematics and dynamics (1)
- ISM: molecules (1)
- Industrial applications (1)
- Industry 4.0 (1)
- Informations- und Kommunikationstechnologien (1)
- Informationstechnik (1)
- Infrarotmikroskopie (1)
- Instance-based learning (1)
- Integral backstepping technique (1)
- Integrationsnutzen (1)
- Intel Xeon Phi (1)
- Interaction (1)
- Internationalization (1)
- Internet-Ökonomie (1)
- Internetökonomie (1)
- Ion viscosity (1)
- Irradiance Distribution (1)
- Issue tracking systems (1)
- Java (1)
- KNN (1)
- Katamnese (1)
- Kinetics (1)
- Kollaboration (1)
- Kombinatorische Optimierung (1)
- Kommunikationsinstrumente (1)
- Komplementäre und sequenzielle Innovation (1)
- Konsumgütermarketing (1)
- Konzernabschluss (1)
- Konzernrechnungslegung (1)
- LP-Heuristik (1)
- Lagerlogistik (1)
- Language Engineering (1)
- Laser-Beam Profiler (1)
- Lattice Boltzmann (1)
- Lehrbeauftragter (1)
- Leistungszusagen (1)
- Lerntyp (1)
- Light Curing Units (1)
- Lighting simulation (1)
- Linear quadratic regulator (1)
- Linear regression (1)
- Lineare Programmierung (1)
- Liquid-liquid extraction (LLE) (1)
- Longley-Rice (1)
- Lymphoproliferative disorder (1)
- Lysosomes (1)
- Lügenverhalten (1)
- MAC (1)
- MAPO (1)
- MINT (1)
- MPV17 monoclonal antibody (1)
- Machine Learning (1)
- Manipulation tasks (1)
- Marketingbesonderheiten (1)
- Maximalflussproblem (1)
- Membrane protein (1)
- Mengenpartitionierungsproblem (1)
- Method of lines (1)
- Method validation (1)
- Minimaler Schnitt (1)
- Mining Software Repositories (1)
- Mitarbeitervergütung (1)
- Mitochondria (1)
- Mitochondrial DNA depletion syndrome (1)
- Mobile robotics (1)
- Mobilitätsdaten (1)
- Mobilitätserhebung (1)
- Model Fitting (1)
- Model-Driven Engineering (1)
- Model-free control (1)
- Modular software packages (1)
- Molecular dynamics (1)
- Molecular modeling (1)
- Motion Capture (1)
- Movement disorder (1)
- Multi-drug efflux (1)
- Multiphase flow (1)
- Musical Performance (1)
- N-acylated amino acids (1)
- NFKB (1)
- NP-Vollständigkeit (1)
- Nachhaltigkeit (1)
- Nachhaltigkeitsberichterstattung (1)
- Natural Language Processing (1)
- Natürliche Monopole (1)
- Navigation interface (1)
- Network simulation (1)
- Nonlinear control quadrotor uav (1)
- Nvidia graphic processors (1)
- OSGi (1)
- Object detection (1)
- Object recognition (1)
- Older adults (1)
- Open-source (1)
- OpenACC (1)
- OpenFlow (1)
- OpenMP (1)
- OpenMP, unrolling (1)
- Operation Research (1)
- Optimierungsproblem (1)
- Organosolv (1)
- Organosolv process (1)
- Outcomeforschung (1)
- Outer membrane channel (1)
- Path-Packing (1)
- Patient-Reported Outcomes (PRO) (1)
- Pensionspläne (1)
- Performance (1)
- Performance Simulation (1)
- Performance prediction (1)
- Peroxisomes (1)
- Photoinitiator (1)
- Photopolymerization (1)
- Poly(acrylonitrile-co-1,3-butadiene-co-styrene)/polyamide 6 (ABS/PA 6) blends (1)
- Predictive Models (1)
- Privacy (1)
- Propagation (1)
- Pseudonym Concept (1)
- Public Key Infrastructure (1)
- Pyroglutamic aciduria (1)
- Pyrolysis (1)
- Pyrolysis-GC/FID (1)
- Pyrolysis-GC/MS (1)
- Pyrolysis–GC/MS (1)
- Q measurement (1)
- QPSK (1)
- Qualitative study (1)
- Quantification (1)
- RCE (1)
- ROW methods (1)
- Raman-Spektroskopie (1)
- Receivers (1)
- Rehabilitations-Statistik-Datenbasis (RSD) (1)
- Rentenbarwert-, Rententrendwertfaktoren (1)
- Resin based composite (1)
- Resin composite (1)
- Return to Work (1)
- Rheology (1)
- Risk Analysis (1)
- River alarm systems (1)
- RoboCup industrial (1)
- Robotics (1)
- Robustness (1)
- Rucksackproblem (1)
- Rule-based production systems (1)
- SAHA (1)
- SDN (1)
- SDWN (1)
- SGN-35 (1)
- Sandbox (1)
- ScalarMultiplication (1)
- Scanning electron microscopy (SEM) (1)
- Scenarios (1)
- Schreibberatung (1)
- Schreibdidaktik (1)
- Schutzrechte (1)
- Sclera (1)
- Self-driving (1)
- Service Design (1)
- Shan-Chen model (1)
- Shear viscosity (1)
- Side Channel Countermeasures (1)
- Silicon biometrics (1)
- Single Lens Reflex Camera (1)
- Smart Home (1)
- Smart factory (1)
- Software Feature Request Detection (1)
- Soziale Netzwerke (1)
- Sozialversicherungsbeiträge (1)
- Sparse Matrix Vector Multiplication (1)
- Spurious velocity (1)
- Statistik (1)
- Steuerbilanz (1)
- Strategic Planning (1)
- Strong Physical Unclonable Functions (PUFs) (1)
- Studierendenzentrierung (1)
- Stückkostendegression (1)
- Sustainability (1)
- Sustainability reporting (1)
- Symmetry detector (1)
- Targeting (1)
- Technology acceptance (1)
- Teilsummenaufteilung (1)
- Text detection (1)
- Text recognition (1)
- Theoretische Informatik (1)
- Tilgungs-, Annuitätenfaktoren (1)
- Token (1)
- Traceability (1)
- Traffic sign detection (1)
- Traffic sign recognition (1)
- Training Model (1)
- Training Optimization (1)
- Trapped radicals (1)
- Two-Ray (1)
- Ubiquity (1)
- Unconjugated THC-COOH (1)
- Unity (1)
- Unternehmensentwicklung (1)
- Usability (1)
- User centered design (1)
- User feedback (1)
- VR (1)
- Value of Integration (1)
- Vector Intrinsics (1)
- Vehicle-to-Infrastructure Communication (1)
- Vehicle-to-Vehicle Com- munication (1)
- Vehicle-to-Vehicle Communication (1)
- Verbrauchsgüter (1)
- Visible light curing resin (1)
- WDS (1)
- Wasserverteilung (1)
- Water supply networks (1)
- Water supply systems (1)
- Watermarking (1)
- Web Content Analysis (1)
- Web Mining (1)
- Web. 2.0 (1)
- Wertschöpfung (1)
- WiFi (1)
- Wicked Problems (1)
- Wirtschaftlichkeitsbetrachtung (1)
- Wirtschaftsmathematik (1)
- Wissensaustausch (1)
- X-ray photoelectron spectroscopy (1)
- Zambia (1)
- Zielvorgaben (1)
- Zytokin-induzierte Killerzellen (1)
- agriculture (1)
- antibody deficiency (1)
- antibody–drug conjugate (1)
- apoptosis (1)
- autoimmune lymphoproliferative syndrome (1)
- autoinflammatory disease (1)
- autonomous sensor system (1)
- autophagy (1)
- bass-shaker (1)
- betriebliche Altersversorgung (1)
- biomolecules (1)
- breast cancer (1)
- brute force methods (1)
- chaetocin (1)
- clear cell renal cell carcinoma (1)
- collaboration (1)
- computer-supported collaborative work (1)
- conditioned media (1)
- confocal fluorescence microscopy (1)
- coverage (1)
- crisis exercise (1)
- cryogenics (1)
- cuSPARSE (1)
- curing behavior (1)
- cytokine-induced killer (CIK) cells (1)
- cytokine-induced killer cells (1)
- developing countries (1)
- dielektrická analýza (1)
- distribuce záření (1)
- energy harvesting (1)
- engage exchange model (1)
- fall prevention (1)
- fall risk (1)
- far-infrared astronomy (1)
- force sensing (1)
- fotokompozit (1)
- gaming (1)
- generator (1)
- goals (1)
- hardness testing (1)
- heat-transfer method (1)
- heterodyne (1)
- human-centric lighting (1)
- iPad (1)
- immunodeficiency (1)
- individual differences (1)
- individuelle Unterschiede (1)
- instrumentation: spectrographs (1)
- ion viscosity (1)
- kinetika vytvrzování (1)
- klarzelliges Nierenzellkarzinom (1)
- leaning (1)
- light distribution (1)
- long-term study (1)
- low-income country (1)
- lying (1)
- lymphoma (1)
- mesenchymal stem cells (1)
- micro-benchmarks (1)
- molecule-surface interactions (1)
- mood (1)
- nanocrystalline diamond (1)
- neuro-cognitive performance (1)
- older adults (1)
- optimization of telecommunications systems (1)
- outbreak management (1)
- pensions (1)
- peripheral vision (1)
- photo-polymerization (1)
- physical activity (1)
- political economy (1)
- prefrontal cortex (1)
- qualitative research (1)
- resin for 3D-printing (1)
- risk communication (1)
- robots (1)
- run-time adaptation (1)
- rural areas (1)
- self-assembled monolayers (1)
- sensor fusion (1)
- server processors (1)
- short-term memory (1)
- single-nucleotide polymorphisms in DNA (1)
- slip detection (1)
- social media analysis (1)
- socio economic impact (1)
- spectral rendering (1)
- stars: formation (1)
- structure prediction (1)
- submillimeter-wave technology (1)
- superconducting devices (1)
- surface textures (1)
- surfaces (1)
- synthetic sapphire (1)
- tactile sensing (1)
- teams (1)
- techniques: spectroscopic (1)
- territoriality (1)
- thermogravimetric analysis (1)
- thread mapping (1)
- tvrdost (1)
- unrolling (1)
- vector units (1)
- vibration (1)
- vibration energy (1)
- viscoelastic properties (1)
- visible light curing resin based composites (1)
- viskoelastické vlastnosti (1)
- vytvrzování světlem (1)
- wavelength (1)
- whole-body interface (1)
- wireless communication (1)
- wmSDN (1)
- workday breaks (1)
- workspace awareness (1)
- γ-glutamyl cycle (1)
Digitaltechnik
(2016)
Digitale Güter
(2016)
Digitale Gemeingüter
(2016)
Die Klausur: VWL
(2016)
Die Klausur: VWL
(2016)
The analysis of Δ9-tetrahydrocannabinol (THC) and its metabolites 11-hydroxy-Δ9-tetrahydrocannabinol (11-OH-THC), and 11-nor-9-carboxy-Δ9-tetrahydrocannabinol (THC-COOH) from blood serum is a routine task in forensic toxicology laboratories. For examination of consumption habits, the concentration of the phase I metabolite THC-COOH is used. Recommendations for interpretation of analysis values in medical-psychological assessments (regranting of driver’s licenses, Germany) include threshold values for the free, unconjugated THC-COOH. Using a fully automated two-step liquid-liquid extraction, THC, 11-OH-THC, and free, unconjugated THC-COOH were extracted from blood serum, silylated with N-methyl-N-(trimethylsilyl) trifluoroacetamide (MSTFA), and analyzed by GC/MS. The automation was carried out by an x-y-z sample robot equipped with modules for shaking, centrifugation, and solvent evaporation. This method was based on a previously developed manual sample preparation method. Validation guidelines of the Society of Toxicological and Forensic Chemistry (GTFCh) were fulfilled for both methods, at which the focus of this article is the automated one. Limits of detection and quantification for THC were 0.3 and 0.6 μg/L, for 11-OH-THC were 0.1 and 0.8 μg/L, and for THC-COOH were 0.3 and 1.1 μg/L, when extracting only 0.5 mL of blood serum. Therefore, the required limit of quantification for THC of 1 μg/L in driving under the influence of cannabis cases in Germany (and other countries) can be reached and the method can be employed in that context. Real and external control samples were analyzed, and a round robin test was passed successfully. To date, the method is employed in the Institute of Legal Medicine in Giessen, Germany, in daily routine. Automation helps in avoiding errors during sample preparation and reduces the workload of the laboratory personnel. Due to its flexibility, the analysis system can be employed for other liquid-liquid extractions as well. To the best of our knowledge, this is the first publication on a comprehensively automated classical liquid-liquid extraction workflow in the field of forensic toxicological analysis.
Design of an Active Multispectral SWIR Camera System for Skin Detection and Face Verification
(2016)
Biometric face recognition is becoming more frequently used in different application scenarios. However, spoofing attacks with facial disguises are still a serious problem for state of the art face recognition algorithms. This work proposes an approach to face verification based on spectral signatures of material surfaces in the short wave infrared (SWIR) range. They allow distinguishing authentic human skin reliably from other materials, independent of the skin type. We present the design of an active SWIR imaging system that acquires four-band multispectral image stacks in real-time. The system uses pulsed small band illumination, which allows for fast image acquisition and high spectral resolution and renders it widely independent of ambient light. After extracting the spectral signatures from the acquired images, detected faces can be verified or rejected by classifying the material as "skin" or "no-skin". The approach is extensively evaluated with respect to both acquisition and classification performance. In addition, we present a database containing RGB and multispectral SWIR face images, as well as spectrometer measurements of a variety of subjects, which is used to evaluate our approach and will be made available to the research community by the time this work is published.
UX-Professionals stehen vor der Aufgabe ihre Fertigkeiten und Kenntnisse kontinuierlich auszubauen. Eine Möglichkeit dies zu tun sind Communities of Practice, also Gemeinschaften von Personen mit ähnlichen Aufgaben und Schwerpunkten sowie einem gemeinsamen Interesse an Lösungen. Sie agieren weitgehend selbstorganisiert und dienen dem Austausch und der gegenseitigen Unterstützung. So entstehen ein gemeinsamer Wissensschatz sowie ein Netzwerk zwischen allen UX-Interessierten. Der Aufbau einer Community of Practice für UX-Professionals wurde in einem mittelständigen Unternehmen über 18 Monate begleitet und ausgewertet. Die Ergebnisse führten zu Handlungsempfehlungen, um Hindernisse beim Aufbau zu reduzieren und einen Mehrwert für alle Beteiligten herbeizuführen.
Die für den deutschen Glücks- und Gewinnspielmarkt derzeit geltenden rechtlichen und ordnungspolitischen Rahmenbedingungen führen dazu, dass sich der nicht-regulierte Markt deutlich zu Lasten des regulierten Marktes ausweitet, was negative volkswirtschaftliche und soziale Effekte zur Folge hat. Ziel der Politik sollte es sein, einen möglichst großen Teil des bis dato nicht-regulierten Marktes (Grau- und Schwarzmarkt) in einen geregelten Rahmen zu überführen.
Getrieben durch kleiner und günstiger werdende Sensoren und der damit verbundenen Messbarmachung immer weiter reichender Teile des Alltages, hat sich die Gestaltung von Verbrauchsvisualisierunen bzw. Verbrauchsfeedbacksystemen zur Unterstützung von nachhaltigem Verhalten zu einem sehr aktiven Forschungsfeld entwickelt.
Kleinere, günstigere und effizientere Sensoren und Aktoren sowie Funkprotokolle haben dazu geführt, dass Smart Home Produkte in zunehmend auch für den privaten Massenmarkt erschwinglich werden. Damit stehen Hersteller und Anbieter vor der Herausforderung, komplexe cyber-physische Systeme für Jedermann handhabbar zu gestalten. Es fehlen allerdings empirische Erkenntnisse über die Rolle von Smart Home im Alltag. Wir präsentieren Ergebnisse aus einer Living Lab Studie, in der 14 Haushalte mit einer am Markt erhältlichen Smart Home Nachrüstlösung ausgestattet und über neun Monate empirisch begleitet wurden. Anhand der Analyse von Interviews, Beobachtungen und Co-Design Workshops in den Phasen der Produktauswahl, Installation, Konfiguration und längerfristigen Nutzung zeigen wir Herausforderungen und Potentiale von Smart Home Systemen auf. Unsere Erkenntnisse deuten darauf hin, dass das Smart Home immer noch von technischen Details dominiert wird. Zugleich fehlen Nutzern angemessene Steuerungs- und Kontrollmöglichkeiten, um weiterhin die Entscheidungshoheit im eigenen Zuhause zu behalten.
During the last 50 years, a broad range of visible light curing resin based composites (VLC RBC) was developed for restorative applications in dentistry. Correspondingly, the technologies of light curing units (LCU) have changed from UV to visible blue light, and there from quartz tungsten halogen over plasma arc to LED LCUs increasing their light intensity significantly. In this thesis, the influence of the curing conditions in terms of irradiance, exposure time and irradiance distribution of LCU on reaction kinetics as well as corresponding mechanical and viscoelastic properties were investigated.
3D-Printing is an efficient method in the field of additive manufacturing. In order to optimize the properties of manufactured parts it is essential to adapt the curing behavior of the resin systems with respect to the requirements. Thus, effects of resin composition, e.g. due to different additives such as thickener and curing agents, on the curing behavior have to be known. As the resin transfers from a liquid to a solid glass the time dependent ion viscosity was measured using DEA with flat IDEX sensors. This allows for a sensitive measurement of resin changes as the ion viscosity changes two to four decades. The investigated resin systems are based on the monomers styrene and HEMA. To account for the effects of copolymerization in the calculation of the reaction kinetics it was assumed that the reaction can be considered as a homo-polymerization having a reaction order n?1. Then the measured ion viscosity curves are fitted with the solution of the reactions kinetics - the time dependent degree of conversion (DC-function) - for times exceeding the initiation phase representing the primary curing. The measured ion viscosity curves can nicely be fitted with the DC-function and the determined fit parameters distinguish distinctly between the investigated resin compositions.
Large sections of the German society are able to buy and consume meat on a daily basis due to progress in the agri-food sector. However, the way meat is produced, traded and consumed increasingly has become an issue that is controversially discussed by the media, non-governmental organisations (NGOs), lobbyists, the industry itself and consumers – often with a negative connotation. The meat industry reacts to this. By creating information campaigns and animal welfare initiatives it aims to stress that it is going to take its corporate social responsibilities (CSR) for consumers and animal welfare seriously. But, the industry’s actions are still criticised as being not sufficient to improve animal welfare levels significantly. Much of this criticism can be observed in online news portals, where articles about the issue get published and commented by readers. This makes online portals a valuable source for information that is to be tapped in this study. It aims to better understand the multifaceted discussions concerning animal welfare initiatives in online portals. By applying qualitative content analysis and web mining techniques to a sample of documents taken from three major German news sites it can be shown that online discussions refer to various aspects of sustainability and corporate social responsibility. Findings also indicate that the discussions are framed by financial aspects.
Der Beitrag stellt auf Basis einer Literaturanalyse den aktuellen Forschungsstand zu Controlling Shared Service Centern dar. Darauf aufbauend wird dieser um die praktischen Erfahrungen bei der Deutschen Telekom ergänzt. Insbesondere der Prozess des Risikomanagements wird hierzu auf seine Eignung für Shared Services auf Grundlage der etwa dreijährigen Erfahrungen des Unternehmens geprüft.
Salts and proteins comprise two of the basic molecular components of biological materials. Kosmotropic/chaotropic co-solvation and matching ion water affinities explain basic ionic effects on protein aggregation observed in simple solutions. However, it is unclear how these theories apply to proteins in complex biological environments and what the underlying ionic binding patterns are. Using the positive ion Ca2+ and the negatively charged membrane protein SNAP25, we studied ion effects on protein oligomerization in solution, in native membranes and in molecular dynamics (MD) simulations. We find that concentration-dependent ion-induced protein oligomerization is a fundamental chemico-physical principle applying not only to soluble but also to membrane-anchored proteins in their native environment. Oligomerization is driven by the interaction of Ca2+ ions with the carboxylate groups of aspartate and glutamate. From low up to middle concentrations, salt bridges between Ca2+ ions and two or more protein residues lead to increasingly larger oligomers, while at high concentrations oligomers disperse due to overcharging effects. The insights provide a conceptual framework at the interface of physics, chemistry and biology to explain binding of ions to charged protein surfaces on an atomistic scale, as occurring during protein solubilisation, aggregation and oligomerization both in simple solutions and membrane systems.
Mobilitäts- und Nachhaltigkeitsforscher sehen sich bei der Erforschung des Mobilitätsverhaltens von Personen mit einer bunten Palette an Erhebungsmethoden konfrontiert. Erweitert wird diese Vielfalt in der letzten Zeit durch die Möglichkeit, dieses Verhalten direkt über die Smartphones der Probanden zu erfassen. Um die Auswahl geeigneter Methoden zu erleichtern, liefert die vorliegende Literaturstudie einen detaillierten Überblick zu Fragestellungen, Daten und Erhebungsmethoden, die im Bereich der Mobilitätsforschung zur Erfassung von Alltagsmobilität eingesetzt werden.
BWL kompakt für Dummies
(2016)
BWL für Dummies
(2016)
"BWL für Dummies" führt kompetent, prägnant und umfassend in die Betriebswirtschaftslehre ein. Dabei werden die wesentlichen Elemente der Betriebswirtschaftslehre praxisorientiert vorgestellt und in ihrem Zusammenhang dargestellt. Folgende Themen werden behandelt: Materialwirtschaft, Leistungsbereitstellung und Produktion, Marketing, Investition und Finanzierung, Unternehmensorganisation und -führung, Rechnungswesen, Controlling.
Noch sind sich die Experten nicht einig, wie schnell Blockchain das Internet revolutionieren wird. Dass das Potenzial dafür riesig ist, ist sich Professor Jens Böcker sicher. Er unterhält eine Professur für Betriebswirtschaftslehre und Marketing an der Hochschule Bonn-Rhein-Sieg und forscht zu diesem Thema.
Die Bilanzierung von Pensionsverpflichtungen hat große Auswirkungen sowohl auf das Eigenkapital eines Unternehmens als auch auf Erfolgsgrößen wie EBIT, Jahresüberschuss, Cashflow. Für die Einschätzung des Unternehmenserfolgs oder die Analyse der Kreditwürdigkeit sind die pensionsrelevanten Informationen von wesentlichem Interesse. Das Werk zeigt, wie man Pensions- und weitere Personalverpflichtungen richtig in den unterschiedlichen Rechenwerken nach handels- und steuerrechtlichen sowie internationalen Regelungen abbildet. Die Neuauflage enthält die aktuelle Rechtsprechnung und neue Richtlinien.
Das Cutting sticks-Problem ist ein NP-vollständiges Problem mit Anwendungspotenzialen im Bereich der Logistik. Es werden grundlegende Definitionen für die Behandlung sowie bisherige Ansätze zur Lösung des Problems aufgearbeitet und durch einige neue Aussagen ergänzt. Insbesondere stehen Ideen für eine algorithmische Lösung des Problems bzw. von Varianten des Problems im Fokus.
We propose an artificial slime mould model (ASMM) inspired by the plasmodium of Physarum polucephalum (P. polucephalum). ASMM consists of plural slimes, and each slime shares energy via a tube with neighboring slimes. Outer slimes sense their environment and conform to it. Outer slimes periodically transmit information about their surrounding environment via a contraction wave to inner slimes. Thus, ASMM shows how slimes can sense a better environment even if that environment is not adjacent to the slimes. The slimes subsequently can move in the direction of an attractant.
This paper presents the b-it-bots RoboCup@Work team and its current hardware and functional architecture for the KUKA youBot robot.We describe the underlying software framework and the developed capabilities required for operating in industrial environments including features such as reliable and precise navigation, flexible manipulation and robust object recognition.
Steigende psychische Arbeitsanforderungen werden im betrieblichen Alltag zunehmend als Normalität empfunden. Trotz erhöhtem Leistungsdruck werden Arbeitspausen oftmals unregelmäßig bis gar nicht wahrgenommen, obwohl mit einer Pause eine gesteigerte Erholung und eine erhöhte Produktivität einhergehen. Der vorliegende Artikel zeigt auf, wie Arbeitspausen und deren systematische Implementierung zu einem "gesunden Unternehmen" beitragen können.
Das Optimalziel für ein Logistiklager ist eine hohe Auslastung des Transportsystems. Es stellt sich somit die Frage nach der Auswahl der Aufträge, die gleichzeitig innerhalb des Lagers abgearbeitet werden, ohne Staus, Blockaden oder Überlastungen entstehen zu lassen. Dieser Auswahlprozess wird auch als Path-Packing bezeichnet. Diese Masterthesis untersucht das Path-Packing auf graphentheoretischer Ebene und stellt verschiedene Greedy-Heuristiken, eine Optimallösung auf Basis der Linearen Programmierung sowie einen kombinierten Ansatz gegenüber. Die Ansätze werden anhand von Messzeiten und Auslastungen unterschiedlich randomisiert erstellter Testdaten ausgewertet.
WiFi-based Long Distance (WiLD) networks have emerged as a promising alternative approach for Internet in rural areas. However, the MAC layer, which is based on the IEEE802.11 standard, comprises contiguous stations in a cell and is spatially restricted to a few hundred meters at most. In this work, we summarize efforts by different researchers to use IEEE802.11 over long-distances. In addition, we introduce WiLDToken, our solution to optimizing the throughput and fairness and reducing the delay on WiLD links. Compared to previous alternative MAC layers protocols for WiLD, our focus is on optimizing a single link in a multi-radio multi-channel mesh. We implement our protocol in the ns-3 network simulator and show thatWiLDToken is superior to an adapted version of the Distributed Coordination Function (DCF) for different link distances. We find that the throughput on a single link is close to the physical data-rate without a major decrease over longer distances.
The development of advanced robotic systems is challenging as expertise from multiple domains needs to be integrated conceptually and technically. Model-driven engineering promises an efficient and flexible approach for developing robotics applications that copes with this challenge. Domain-specific modeling allows to describe robotics concerns with concepts and notations closer to the respective problem domain. This raises the level of abstraction and results in models that are easier to understand and validate. Furthermore, model-driven engineering allows to increase the level of automation, e.g. through code generation, and to bridge the gap between modeling and implementation. The anticipated results are improved efficiency and quality of the robotics systems engineering process. Within this contribution, we survey the available literature on domain-specific modeling and languages that target core robotics concerns. In total 137 publications were identified that comply with a set of defined criteria, which we consider essential for contributions in this field. With the presented survey, we provide an overview on the state-of-the-art of domain-specific modeling approaches in robotics. The surveyed publications are investigated from the perspective of users and developers of model-based approaches in robotics along a set of quantitative and qualitative research questions. The presented quantitative analysis clearly indicates the rising popularity of applying domain-specific modeling approaches to robotics in the academic community. Beyond this statistical analysis, we map the selected publications to a defined set of robotics subdomains and typical development phases in robotic systems engineering as reference for potential users. Furthermore, we analyze these contributions from a language engineering viewpoint and discuss aspects such as the methods and tools used for their implementation as well as their documentation status, platform integration, typical use cases and the evaluation strategies used for validation of the proposed approaches. Finally, we conclude with recommendations for discussion in the model-driven engineering and robotics community based on the insights gained in this survey.
Cognitive robotics aims at understanding biological processes, though it has also the potential to improve future robotics systems. Here we show how a biologically inspired model of motor control with neural fields can be augmented with additional components such that it is able to solve a basic robotics task, that of obstacle avoidance. While obstacle avoidance is a well researched area, the focus here is on the extensibility of a biologically inspired framework. This work demonstrates how easily the biological inspired system can be used to adapt to new tasks. This flexibility is thought to be a major hallmark of biological agents.
Recessive mutations in the MPV17 gene cause mitochondrial DNA depletion syndrome, a fatal infantile genetic liver disease in humans. Loss of function in mice leads to glomerulosclerosis and sensineural deafness accompanied with mitochondrial DNA depletion. Mutations in the yeast homolog Sym1, and in the zebra fish homolog tra cause interesting, but not obviously related phenotypes, although the human gene can complement the yeast Sym1 mutation. The MPV17 protein is a hydrophobic membrane protein of 176 amino acids and unknown function. Initially localised in murine peroxisomes, it was later reported to be a mitochondrial inner membrane protein in humans and in yeast. To resolve this contradiction we tested two new mouse monoclonal antibodies directed against the human MPV17 protein in Western blots and immunohistochemistry on human U2OS cells. One of these monoclonal antibodies showed specific reactivity to a protein of 20 kD absent in MPV17 negative mouse cells. Immunofluorescence studies revealed colocalisation with peroxisomal, endosomal and lysosomal markers, but not with mitochondria. This data reveal a novel connection between a possible peroxisomal/endosomal/lysosomal function and mitochondrial DNA depletion.
During exercise, heart rate has proven to be a good measure in planning workouts. It is not only simple to measure but also well understood and has been used for many years for workout planning. To use heart rate to control physical exercise, a model which predicts future heart rate dependent on a given strain can be utilized. In this paper, we present a mathematical model based on convolution for predicting the heart rate response to strain with four physiologically explainable parameters. This model is based on the general idea of the Fitness-Fatigue model for performance analysis, but is revised here for heart rate analysis. Comparisons show that the Convolution model can compete with other known heart rate models. Furthermore, this new model can be improved by reducing the number of parameters. The remaining parameter seems to be a promising indicator of the actual subject’s fitness.