Refine
H-BRS Bibliography
- yes (133) (remove)
Departments, institutes and facilities
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (133) (remove)
Document Type
- Article (93)
- Conference Object (22)
- Preprint (7)
- Part of Periodical (4)
- Part of a Book (2)
- Report (2)
- Book (monograph, edited volume) (1)
- Contribution to a Periodical (1)
- Working Paper (1)
Year of publication
Has Fulltext
- yes (133) (remove)
Keywords
- lignin (7)
- West Africa (5)
- energy meteorology (4)
- Global horizontal irradiance (3)
- additive (3)
- antioxidant (3)
- biomass (3)
- drug release (3)
- hydrogel (3)
- organosolv (3)
- osteogenesis (3)
- stem cells (3)
- AOD (2)
- COD (2)
- Distribution grid management (2)
- ENaC (2)
- Energiemeteorologie (2)
- Erzeugungsprognose (2)
- Folin-Ciocalteu assay (2)
- Forecasting (2)
- Ghana (2)
- Hydrogen storage (2)
- Inversion (2)
- Lattice Boltzmann Method (2)
- Miscanthus (2)
- Photovoltaik (2)
- R-ratio (2)
- Reflektanz (2)
- Satellitenprodukte (2)
- Si reference cells (2)
- Si-Referenzzellen (2)
- Spektraler Einfluss (2)
- Strahlung (2)
- Strahlungsvariabilität (2)
- WRF-Solar (2)
- Wolkenparameter (2)
- aluminum bonding wire (2)
- antimicrobial activity (2)
- antioxidant activity (2)
- biomaterial (2)
- bone regeneration (2)
- bone tissue engineering (2)
- chemometrics (2)
- cloud parameters (2)
- creep (2)
- crystallization (2)
- double pulse test (2)
- error analysis (2)
- extraction (2)
- force generation (2)
- generation forecast (2)
- inversion (2)
- kraft lignin (2)
- lifetime prediction (2)
- lignocellulose feedstock (2)
- local chain orientation (2)
- measurement errors (2)
- mesoscale coarse-graining (2)
- modeling (2)
- multivariate data processing (2)
- myosin (2)
- numerical weather prediction (2)
- numerische Wettervorhersage (2)
- photovoltaics (2)
- poly(butylene adipate terephthalate) (2)
- poly(lactic acid) (2)
- polyethylene (2)
- power electronics (2)
- power semiconductors (2)
- radiation (2)
- radiation variability (2)
- reflectance (2)
- relaxation (2)
- satellite products (2)
- scaffolds (2)
- sensor phenomena and characterization (2)
- shrinkage (2)
- small-scale fatigue testing (2)
- spectral influence (2)
- tissue engineering (2)
- total phenol content (2)
- wide band gap (2)
- (poly)saccharides (1)
- 3D printing (1)
- ADP release (1)
- AI usage in sports (1)
- ANN controller (1)
- ATPase cycle (1)
- ATR-FTIR (1)
- Abies nordmanniana (1)
- Abies procera (1)
- Additiv (1)
- Additive (1)
- Aloe vera (1)
- Antioxidant capacity (1)
- Antioxidative Capacity (1)
- Antioxidatives Potential (1)
- Applied sciences (1)
- Artificial Intelligence (1)
- Artificial bulk viscosity (1)
- Assay reproducibility (1)
- Atlantic coast (1)
- Atmosphere flow (1)
- Automation (1)
- Battery pack configurations (1)
- Behälterbau (1)
- Bioactive (1)
- Bioaktiv (1)
- Blue light (1)
- CAE metadata structures (1)
- CDH1 (1)
- CFTR inhibitors (1)
- Cell-to-cell parameter variations (1)
- Compressible (1)
- Compressible flows (1)
- Contingency analysis (1)
- Cubature (1)
- Current measurement (1)
- DC-cascade (1)
- Digitale Medien (1)
- Digitalisierungsstrategie (1)
- E-cadherin (1)
- Electric Vehicles (1)
- Energy Modeling (1)
- European horse chestnut (1)
- Eutectic Ti-Fe alloys (1)
- Extrusionsblasformen (1)
- Familial glioma (1)
- Fluid Dynamics (1)
- Flux coefficient (1)
- Force field parameters (1)
- Fourier scatterometry (1)
- Frau (1)
- Gas transport simulation (1)
- Gasturbinenschaufel (1)
- Gauss–Hermite quadrature (1)
- Ghanaian health sector (1)
- Gruppendiskussion (1)
- H-BRS (1)
- HSP90 (1)
- HSQC NMR (1)
- HTS (1)
- High temperature deformation (1)
- High temperature laser powder bed fusion (1)
- Hochschule Bonn-Rhein-Sieg (1)
- Hydrogen (1)
- Hyperalgesia (1)
- ICP OES (1)
- In silico modelling (1)
- Index-1 DAEs (1)
- Informationssystem (1)
- Julia package Differential Equations (1)
- Kinetic theory (1)
- Kriechen (1)
- LSTM (1)
- Lattice-Boltzmann methods (1)
- Lean Production (1)
- Lebensdauervorhersage (1)
- Lignin (1)
- Linear viscoelasticity (1)
- Lineare Viskoelastizität (1)
- MRT-LBM (1)
- Machine Learning (1)
- Machine learning (1)
- Machine vision (1)
- Mechanische Prüfung (1)
- Metal hydride (1)
- Miscanthus x giganteus (1)
- Molecular modeling (1)
- Molecular rotation (1)
- Molecular simulation (1)
- Mädchen (1)
- Navier-Stokes equation (1)
- Near-field synchrotron ptychographic X-ray computed tomography (1)
- Neural collision operator (1)
- Neuropathic pain (1)
- Nickel-based superalloy (1)
- Nickelbasis-Superlegierung (1)
- Normung (1)
- Numerical stability (1)
- OER (1)
- OH-number (1)
- Ocean flow (1)
- Off-target effects (1)
- Oligodendroglioma (1)
- Open Educational Resources (1)
- Optimization (1)
- Orai1 (1)
- Order reduction (1)
- Organic acids (1)
- Organic compounds and Functional groups (1)
- Paulownia (1)
- Picea abies (1)
- Picea pungens (1)
- Projektmanagement (1)
- Prozessmanagement (1)
- Prozessoptimierung (1)
- Prozessorganisation (1)
- Quantum mechanical methods (1)
- Range variability (1)
- Reanalysis (1)
- RheoTack analysis (1)
- Rodas5 (1)
- Rosenbrock–Wanner methods (1)
- SARIMA (1)
- SAXS (1)
- SEC (1)
- SHAP (1)
- SMPA loop (1)
- Sahel zone (1)
- Sample digestion (1)
- Satellite (1)
- Schwindung (1)
- Semi-Lagrangian (1)
- Silphium (1)
- Simulation (1)
- Solar energy (1)
- Spectroscopy (1)
- Statistical Physics (1)
- Stereotyp (1)
- Store-operated calcium entry (1)
- Stratified flow (1)
- Taylor–Green vortex (1)
- Technik (1)
- Thermoplastic polyurethanes (1)
- Thyme (1)
- Thymian (1)
- Topological reduction (1)
- Treatment (1)
- Turbulence (1)
- UV (1)
- UV Absorption (1)
- UV absorbance (1)
- UV spectrum (1)
- UV-Absorption (1)
- UV-VIS (1)
- Ultrafine microstructures (1)
- Unternehmen (1)
- Used engine oil (1)
- Verteilnetzbetriebsführung (1)
- Verteilnetzbetriebsführung, (1)
- Verzug (1)
- Voltage measurement (1)
- WAXS (1)
- Whole-genome sequencing (1)
- XGBoost (1)
- XRD (1)
- acidic ethanosolv (1)
- actin (1)
- actinometry (1)
- active packaging (1)
- adhesion factor (1)
- advanced applications (1)
- aerosol (1)
- agarose (1)
- allosteric communication (1)
- angiogenesis (1)
- antiradical activity (1)
- atmospheric aerosol (1)
- atomistic models (1)
- autohydrolysis (1)
- automated electrophysiology (1)
- beaching (1)
- biaxial stretching (1)
- bio-based polymers (1)
- biocomposite (1)
- bioeconomy (1)
- bio‐based (1)
- blebbistatin (1)
- blow molding (1)
- blown film (1)
- blown film extrusion (1)
- brilliant green (1)
- capture and storage (1)
- carbon dioxide (1)
- cell harvesting (1)
- cell migration (1)
- chain extenders cross-linker (1)
- chain extending cross-linker (1)
- chain-extending cross-linker (1)
- chitosan (1)
- composites (1)
- condensation (1)
- coniferous woods (1)
- creep compliance (1)
- crystal violet (1)
- crystallinity (1)
- cube in cube model (1)
- cytoskeleton (1)
- data management (1)
- deep learning (1)
- deformation behavior (1)
- degree of disintegration (1)
- demethylation (1)
- depolymerization (1)
- derivative-free optimization (1)
- detaching (1)
- digital manufacturing (1)
- disintegration kinetics (1)
- duty ratio (1)
- electrical bicycle drive unit (1)
- elementary volume (1)
- elite sports (1)
- endoscopy (1)
- endothelial cells (1)
- energy infrastructures (1)
- energy system analyses (1)
- energy system modeling (1)
- essential oil (1)
- explainable AI (1)
- extrusion blow molding (1)
- fiber composites (1)
- fitness-fatigue model (1)
- food contact material (1)
- food waste (1)
- force field parameterization (1)
- formulation (1)
- fuel cell (1)
- fully superconducting generator (1)
- gas turbine blade (1)
- gas-to-power (1)
- genotype (1)
- geopolymer (1)
- geschlechtsspezifische Faktoren (1)
- geschlechtsspezifische Sozialisation (1)
- grating reconstruction (1)
- heart rate control (1)
- heart rate modeling (1)
- heart rate prediction (1)
- hydrides (1)
- hydrogen (1)
- hydrogen economies (1)
- hydrogen infrastructures (1)
- hydroxyapatite (1)
- hydroxypropylmethylcellulose (1)
- hypertension (1)
- infrared spectroscopy (1)
- injection moulding (1)
- integrative Simulation (1)
- integrative simulation (1)
- irradiance (1)
- knowledge graphs (1)
- lignin structure analysis (1)
- lignocellulosic feedstock (1)
- load control (1)
- load forecasting (1)
- long-wave infrared (1)
- low-input crops (1)
- magnetic hyperthermia (1)
- magnetic nanoparticles (1)
- mathematical and numerical algorithms and methods (1)
- mathematical modeling (1)
- mechanical properties (1)
- mechanical testing (1)
- medium voltage insulation (1)
- micromobility (1)
- microplastic (1)
- migration (1)
- models (1)
- molecular docking (1)
- molecular dynamics simulations (1)
- molecular mass degradation (1)
- molecular motor (1)
- molecular simulations (1)
- monolignol ratio (1)
- morphology (1)
- multi-body dynamic simulation (1)
- multivariate data analysis (1)
- natural additives (1)
- natural language processing (1)
- neural network (1)
- neuromorphic processing (1)
- noise, vibration, and harshness (1)
- ontology (1)
- organosolv lignin (1)
- orthotropes prozessabhängiges Materialverhalten (1)
- orthotropic process-dependent material behavior (1)
- pancreatic cancer (1)
- partial squares regression (1)
- particulate composite (1)
- pathogenic microorganisms (1)
- performance modeling (1)
- performance prediction (1)
- permanent magnet synchronous generator (PMSG) (1)
- permeability (1)
- phenomenological approaches (1)
- photocatalysis (1)
- photolysis (1)
- photostabiliser (1)
- photovoltaic (1)
- pipeline transport (1)
- plant extracts (1)
- plastic manufacturing (1)
- plastic pollution (1)
- polybutylene adipate terephthalate (1)
- polylactic acid (1)
- polyphenols (1)
- polysaccharide (1)
- polyurethane coatings (1)
- power converter (1)
- power rectifier (1)
- power spectrum (1)
- power stroke (1)
- pressure sensitive adhesives (1)
- principal component analysis (1)
- proanthocyanidins (1)
- process parameters (1)
- process-induced morphology (1)
- protein microarray (1)
- prototype apparatus (1)
- qNMR (1)
- question answering (1)
- replica (1)
- retraction speed dependency (1)
- scratch assay (1)
- seed coat (1)
- semantic technologies (1)
- shelf life (1)
- simulation and modeling (1)
- simulation process (1)
- size exclusion chromatography (1)
- smoothing procedures (1)
- sodium self-inhibition (1)
- solar power (1)
- sparse grids (1)
- stabilisation (1)
- stabiliser (1)
- structural biology (1)
- structural dynamics (1)
- sustainable packaging (1)
- synchronous generator (1)
- synergistic effect (1)
- temperature control (1)
- temperature influence (1)
- text mining (1)
- therapy (1)
- thermal imaging (1)
- thermal insulation materials (1)
- thermo-mechanical properties (1)
- thermophoresis (1)
- total phenolic content (1)
- traffic data (1)
- training monitoring (1)
- training performance relationship (1)
- transfer learning (1)
- transient kinetics (1)
- transmission phase gratings (1)
- triiodothyronine (1)
- triphenylmethane dyes (1)
- two-electrode voltage clamp (1)
- two-photon polymerization (1)
- uniaxial stretching (1)
- urban planning (1)
- warpage (1)
- wearable sensors (1)
- wind energy (1)
- wind energy conversion systems (WECS) (1)
- wound healing assay (1)
- Öffentlichkeit (1)
- β-catenin (1)
Airborne and spaceborne platforms are the primary data sources for large-scale forest mapping, but visual interpretation for individual species determination is labor-intensive. Hence, various studies focusing on forests have investigated the benefits of multiple sensors for automated tree species classification. However, transferable deep learning approaches for large-scale applications are still lacking. This gap motivated us to create a novel dataset for tree species classification in central Europe based on multi-sensor data from aerial, Sentinel-1 and Sentinel-2 imagery. In this paper, we introduce the TreeSatAI Benchmark Archive, which contains labels of 20 European tree species (i.e., 15 tree genera) derived from forest administration data of the federal state of Lower Saxony, Germany. We propose models and guidelines for the application of the latest machine learning techniques for the task of tree species classification with multi-label data. Finally, we provide various benchmark experiments showcasing the information which can be derived from the different sensors including artificial neural networks and tree-based machine learning methods. We found that residual neural networks (ResNet) perform sufficiently well with weighted precision scores up to 79 % only by using the RGB bands of aerial imagery. This result indicates that the spatial content present within the 0.2 m resolution data is very informative for tree species classification. With the incorporation of Sentinel-1 and Sentinel-2 imagery, performance improved marginally. However, the sole use of Sentinel-2 still allows for weighted precision scores of up to 74 % using either multi-layer perceptron (MLP) or Light Gradient Boosting Machine (LightGBM) models. Since the dataset is derived from real-world reference data, it contains high class imbalances. We found that this dataset attribute negatively affects the models' performances for many of the underrepresented classes (i.e., scarce tree species). However, the class-wise precision of the best-performing late fusion model still reached values ranging from 54 % (Acer) to 88 % (Pinus). Based on our results, we conclude that deep learning techniques using aerial imagery could considerably support forestry administration in the provision of large-scale tree species maps at a very high resolution to plan for challenges driven by global environmental change. The original dataset used in this paper is shared via Zenodo (https://doi.org/10.5281/zenodo.6598390, Schulz et al., 2022). For citation of the dataset, we refer to this article.
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.
Lignocellulose feedstock (LCF) provides a sustainable source of components to produce bioenergy, biofuel, and novel biomaterials. Besides hard and soft wood, so-called low-input plants such as Miscanthus are interesting crops to be investigated as potential feedstock for the second generation biorefinery. The status quo regarding the availability and composition of different plants, including grasses and fast-growing trees (i.e., Miscanthus, Paulownia), is reviewed here. The second focus of this review is the potential of multivariate data processing to be used for biomass analysis and quality control. Experimental data obtained by spectroscopic methods, such as nuclear magnetic resonance (NMR) and Fourier-transform infrared spectroscopy (FTIR), can be processed using computational techniques to characterize the 3D structure and energetic properties of the feedstock building blocks, including complex linkages. Here, we provide a brief summary of recently reported experimental data for structural analysis of LCF biomasses, and give our perspectives on the role of chemometrics in understanding and elucidating on LCF composition and lignin 3D structure.
Renewable resources gain increasing interest as source for environmentally benign biomaterials, such as drug encapsulation/release compounds, and scaffolds for tissue engineering in regenerative medicine. Being the second largest naturally abundant polymer, the interest in lignin valorization for biomedical utilization is rapidly growing. Depending on resource and isolation procedure, lignin shows specific antioxidant and antimicrobial activity. Today, efforts in research and industry are directed toward lignin utilization as renewable macromolecular building block for the preparation of polymeric drug encapsulation and scaffold materials. Within the last five years, remarkable progress has been made in isolation, functionalization and modification of lignin and lignin-derived compounds. However, literature so far mainly focuses lignin-derived fuels, lubricants and resins. The purpose of this review is to summarize the current state of the art and to highlight the most important results in the field of lignin-based materials for potential use in biomedicine (reported in 2014–2018). Special focus is drawn on lignin-derived nanomaterials for drug encapsulation and release as well as lignin hybrid materials used as scaffolds for guided bone regeneration in stem cell-based therapies.
Antioxidant activity is an essential aspect of oxygen-sensitive merchandise and goods, such as food and corresponding packaging, cosmetics, and biomedicine. Technical lignin has not yet been applied as a natural antioxidant, mainly due to the complex heterogeneous structure and polydispersity of lignin. This report presents antioxidant capacity studies completed using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay. The influence of purification on lignin structure and activity was investigated. The purification procedure showed that double-fold selective extraction is the most efficient (confirmed by ultraviolet-visible (UV/Vis), Fourier transform infrared (FTIR), heteronuclear single quantum coherence (HSQC) and 31P nuclear magnetic resonance spectroscopy, size exclusion chromatography, and X-ray diffraction), resulting in fractions of very narrow polydispersity (3.2⁻1.6), up to four distinct absorption bands in UV/Vis spectroscopy. Due to differential scanning calorimetry measurements, the glass transition temperature increased from 123 to 185 °C for the purest fraction. Antioxidant capacity is discussed regarding the biomass source, pulping process, and degree of purification. Lignin obtained from industrial black liquor are compared with beech wood samples: antioxidant activity (DPPH inhibition) of kraft lignin fractions were 62⁻68%, whereas beech and spruce/pine-mixed lignin showed values of 42% and 64%, respectively. Total phenol content (TPC) of the isolated kraft lignin fractions varied between 26 and 35%, whereas beech and spruce/pine lignin were 33% and 34%, respectively. Storage decreased the TPC values but increased the DPPH inhibition.
Antioxidant activity is an essential feature required for oxygen-sensitive merchandise and goods, such as food and corresponding packaging as well as materials used in cosmetics and biomedicine. For example, vanillin, one of the most prominent antioxidants, is fabricated from lignin, the second most abundant natural polymer in the world. Antioxidant potential is primarily related to the termination of oxidation propagation reactions through hydrogen transfer. The application of technical lignin as a natural antioxidant has not yet been implemented in the industrial sector, mainly due to the complex heterogeneous structure and polydispersity of lignin. Thus, current research focuses on various isolation and purification strategies to improve the compatibility of lignin material with substrates and enhancing its stabilizing effect.
The antiradical and antimicrobial activity of lignin and lignin-based films are both of great interest for applications such as food packaging additives. The polyphenolic structure of lignin in addition to the presence of O-containing functional groups is potentially responsible for these activities. This study used DPPH assays to discuss the antiradical activity of HPMC/lignin and HPMC/lignin/chitosan films. The scavenging activity (SA) of both binary (HPMC/lignin) and ternary (HPMC/lignin/chitosan) systems was affected by the percentage of the added lignin: the 5% addition showed the highest activity and the 30% addition had the lowest. Both scavenging activity and antimicrobial activity are dependent on the biomass source showing the following trend: organosolv of softwood > kraft of softwood > organosolv of grass. Testing the antimicrobial activities of lignins and lignin-containing films showed high antimicrobial activities against Gram-positive and Gram-negative bacteria at 35 °C and at low temperatures (0-7 °C). Purification of kraft lignin has a negative effect on the antimicrobial activity while storage has positive effect. The lignin release in the produced films affected the activity positively and the chitosan addition enhances the activity even more for both Gram-positive and Gram-negative bacteria. Testing the films against spoilage bacteria that grow at low temperatures revealed the activity of the 30% addition on HPMC/L1 film against both B. thermosphacta and P. fluorescens while L5 was active only against B. thermosphacta. In HPMC/lignin/chitosan films, the 5% addition exhibited activity against both B. thermosphacta and P. fluorescens.
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.
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.
AErOmAt Abschlussbericht
(2020)
Das Projekt AErOmAt hatte zum Ziel, neue Methoden zu entwickeln, um einen erheblichen Teil aerodynamischer Simulationen bei rechenaufwändigen Optimierungsdomänen einzusparen. Die Hochschule Bonn-Rhein-Sieg (H-BRS) hat auf diesem Weg einen gesellschaftlich relevanten und gleichzeitig wirtschaftlich verwertbaren Beitrag zur Energieeffizienzforschung geleistet. Das Projekt führte außerdem zu einer schnelleren Integration der neuberufenen Antragsteller in die vorhandenen Forschungsstrukturen.