Hybrid
Refine
Year of publication
Institute
- Fachbereich Medizintechnik und Technomathematik (40)
- Fachbereich Chemie und Biotechnologie (21)
- INB - Institut für Nano- und Biotechnologien (17)
- IfB - Institut für Bioengineering (14)
- Fachbereich Elektrotechnik und Informationstechnik (13)
- Fachbereich Luft- und Raumfahrttechnik (13)
- ECSM European Center for Sustainable Mobility (6)
- Fachbereich Energietechnik (6)
- Fachbereich Wirtschaftswissenschaften (6)
- Fachbereich Bauingenieurwesen (3)
Document Type
- Article (101) (remove)
Keywords
- CFD (2)
- Capacitive field-effect sensor (2)
- Label-free detection (2)
- Obstacle avoidance (2)
- Path planning (2)
- UAV (2)
- biosensors (2)
- capacitive field-effect sensors (2)
- 3D nonlinear finite element model (1)
- Actuator disk modelling (1)
- Aeroelasticity (1)
- Aircraft sizing (1)
- Algal Turf Scrubber (1)
- Algal–bacterial bioflm (1)
- Anammox (1)
- Anforderungen (1)
- Anwendungsorientierter Forschungsansatz (1)
- Architectural design (1)
- Asymptotic efficiency (1)
- Automotive safety approach (1)
- Autonomy (1)
- BET (1)
- Bacillaceae (1)
- Bacterial cellulose (1)
- Bio-inspired systems (1)
- Bioabsorbable (1)
- Biofuel (1)
- Biogas (1)
- Biorefinery (1)
- Biotechnological application (1)
- Blade element method (1)
- Booster Stations (1)
- Buffering Capacity (1)
- Butanol (1)
- CFD propeller simulation (1)
- CRISPR/Cas9 (1)
- Capacitive model (1)
- Carbon sources (1)
- Carrier solvents (1)
- CellDrum (1)
- Cellulose nanostructure (1)
- Censored data (1)
- Centrifugal twisting moment (1)
- Chance Constraint (1)
- Charging station (1)
- Chondroitin sulfate (1)
- Circular bioeconomy (1)
- Clinical decision support systems (1)
- Clostridium acetobutylicum (1)
- Cost function (1)
- Crashworthiness (1)
- Culture media (1)
- Design Science Research (1)
- Dietary supplements (1)
- Drag estimation (1)
- E. coli detection (1)
- ES-FEM (1)
- Effective modal mass (1)
- Electronic cigarettes (1)
- Electronic vehicle (1)
- Emilia-Romagna earthquake (1)
- Empirical consequence curves (1)
- Empirical fragility functions (1)
- Endothelial dysfunction (1)
- Engineering Application (1)
- Enhanced Telecom Operations Map (1)
- Enterprise information systems (1)
- Enzyme coverage (1)
- Explainability (1)
- Extension–twist coupling (1)
- FS-FEM (1)
- Fault approximation (1)
- Fault detection (1)
- Field-effect biosensor (1)
- Finite element method (1)
- Free-base nicotine (1)
- Full-vehicle crash test (1)
- Gesundheitswesen (1)
- Glaucoma (1)
- Glucosamine (1)
- Gold nanoparticles (1)
- Halotolerant protease (1)
- Heterostructure (1)
- High-field NMR (1)
- IR (1)
- Image Reconstruction (1)
- Information extraction (1)
- Inverse scattering problem (1)
- Justice (1)
- LPS (1)
- Li7La3Zr2O12 (1)
- LiGaO2 (1)
- Lifting propeller (1)
- Lignocellulose (1)
- Linear discriminant analysis (1)
- Local path planning (1)
- Long COVID (1)
- Low field NMR (1)
- MCDA (1)
- MINLP (1)
- Mainstream (1)
- Manufacturer (1)
- Master stamp (1)
- Medical AI (1)
- Medusomyces gisevi (1)
- Metascintillator (1)
- Methane (1)
- Model-driven software engineering (1)
- Multi-objective optimization (1)
- Multianalyte detection (1)
- Multicell (1)
- Multiple TOF kernels (1)
- Multiplexing (1)
- Multirotor UAS (1)
- Natural frequency (1)
- Nitrogen removal (1)
- Normative standards (1)
- Ocular blood flow (1)
- PBEE (1)
- Parasitic drag (1)
- Parking (1)
- Partial nitritation (1)
- Penicillin (1)
- Photolithographic mimics (1)
- Plant virus (1)
- Polylactide acid (1)
- Polysaccharides (1)
- Post-COVID-19 syndrome (1)
- Praxisprojekte (1)
- Precast buildings (1)
- Principal component analysis (1)
- Product-integration (1)
- Propeller (1)
- Propeller aerodynamics (1)
- Propeller elasticity (1)
- Propeller performance (1)
- Prozessautomatisierung (1)
- Prozessverbesserung (1)
- Pump System (1)
- Quartz crystal microbalance (1)
- RPA (1)
- RVA (1)
- Radar (1)
- Raman spectroscopy (1)
- Referenzmodellierung (1)
- Reservation system (1)
- Resistive temperature detector (1)
- Robotic Process Automation (1)
- S-FEM (1)
- Selektionskriterien (1)
- Semi-parametric random censorship model (1)
- Septic cardiomyopathy (1)
- Silk fibroin (1)
- Simulation (1)
- Software and systems modeling (1)
- Sprachassistent (1)
- Sprachsteuerung (1)
- Stochastic Programming (1)
- Subtilases (1)
- Subtilisin (1)
- Surface imprinted polymer (1)
- Survival analysis (1)
- Suspension bridge (1)
- TOF PET (1)
- Thin shell finite elements (1)
- Tobacco mosaic virus (TMV) (1)
- Trapeze effect (1)
- Umsetzbarkeit (1)
- Uncertainty (1)
- Unmanned aerial vehicles (1)
- Utilization improvement (1)
- Vascular response (1)
- Visual field asymmetry (1)
- Volterra integral equation (1)
- Wastewater (1)
- Water Distribution (1)
- Water Supply Networks (1)
- Weak organic acids (1)
- Wind milling (1)
- Wind tunnel experiments (1)
- Zeta potential (1)
- acetoin (1)
- acetoin reductase (1)
- actin cytoskeleton (1)
- alcoholic beverages (1)
- amperometric biosensors (1)
- aspergillus (1)
- atomic layer deposition (1)
- batteries and fuel cells (1)
- bioburdens (1)
- biocompatible (1)
- biocompatible materials (1)
- biodegradabl (1)
- biodegradable electronic devices (1)
- body imaging at 7 T MRI (1)
- capacitive electrolyte–insulator–semiconductor sensors (1)
- carbon electrodes (1)
- cardiomyocyte biomechanics (1)
- design of technical systems (1)
- distorted element (1)
- eVTOL development (1)
- eVTOL safety (1)
- electrospinning (1)
- encapsulation materials (1)
- fibers (1)
- fibroin (1)
- filamentous fungi (1)
- ga-doping (1)
- garnet solid electrolyte (1)
- genome engineering (1)
- glucose (1)
- graphene oxide (1)
- harmonic radar (1)
- harmonic radar tags (1)
- hydrogen peroxide (1)
- irradiation (1)
- layer-by-layer technique (1)
- legal obligations (1)
- locomotion (1)
- microwave measurements (1)
- muscle mechanics (1)
- nanomaterials (1)
- non-simplex S-FEM elements (1)
- nonlinear VNA measurements (1)
- optical spore trapping (1)
- optimization (1)
- pH sensors (1)
- polyaniline (1)
- porous materials (1)
- product liability (1)
- resilience (1)
- retinal microvasculature (1)
- running (1)
- solid-state battery (1)
- sprint start (1)
- sterility tests (1)
- sterilization conditions (1)
- sterilization efficacy (1)
- sterilization methods (1)
- temperature (1)
- thermal dose (1)
- tissue temperature (1)
- transmit antenna arrays (1)
- ultrasonography (1)
- ultrathin gate insulators (1)
- validation methods (1)
Zugriffsart
- weltweit (97)
The constitutive androstane receptor (CAR) and the pregnane X receptor (PXR) are closely related nuclear receptors involved in drug metabolism and play important roles in the mechanism of phenobarbital (PB)-induced rodent nongenotoxic hepatocarcinogenesis. Here, we have used a humanized CAR/PXR mouse model to examine potential species differences in receptor-dependent mechanisms underlying liver tissue molecular responses to PB. Early and late transcriptomic responses to sustained PB exposure were investigated in liver tissue from double knock-out CAR and PXR (CARᴷᴼ-PXRᴷᴼ), double humanized CAR and PXR (CARʰ-PXRʰ), and wild-type C57BL/6 mice. Wild-type and CARʰ-PXRʰ mouse livers exhibited temporally and quantitatively similar transcriptional responses during 91 days of PB exposure including the sustained induction of the xenobiotic response gene Cyp2b10, the Wnt signaling inhibitor Wisp1, and noncoding RNA biomarkers from the Dlk1-Dio3 locus. Transient induction of DNA replication (Hells, Mcm6, and Esco2) and mitotic genes (Ccnb2, Cdc20, and Cdk1) and the proliferation-related nuclear antigen Mki67 were observed with peak expression occurring between 1 and 7 days PB exposure. All these transcriptional responses were absent in CARᴷᴼ-PXRᴷᴼ mouse livers and largely reversible in wild-type and CARʰ-PXRʰ mouse livers following 91 days of PB exposure and a subsequent 4-week recovery period. Furthermore, PB-mediated upregulation of the noncoding RNA Meg3, which has recently been associated with cellular pluripotency, exhibited a similar dose response and perivenous hepatocyte-specific localization in both wild-type and CARʰ-PXRʰ mice. Thus, mouse livers coexpressing human CAR and PXR support both the xenobiotic metabolizing and the proliferative transcriptional responses following exposure to PB.
Cytochrome b5 Is a Major Determinant of Human Cytochrome P450 CYP2D6 and CYP3A4 Activity In Vivo s
(2015)
Opioid Analgesia in P450 Gene Cluster Knockout Mice: A Search for Analgesia-Relevant Isoforms
(2015)
Impact of electric propulsion technology and mission requirements on the performance of VTOL UAVs
(2018)
One of the engineering challenges in aviation is the design of transitioning vertical take-off and landing (VTOL) aircraft. Thrust-borne flight implies a higher mass fraction of the propulsion system, as well as much increased energy consumption in the take-off and landing phases. This mass increase is typically higher for aircraft with a separate lift propulsion system than for aircraft that use the cruise propulsion system to support a dedicated lift system. However, for a cost–benefit trade study, it is necessary to quantify the impact the VTOL requirement and propulsion configuration has on aircraft mass and size. For this reason, sizing studies are conducted. This paper explores the impact of considering a supplemental electric propulsion system for achieving hovering flight. Key variables in this study, apart from the lift system configuration, are the rotor disk loading and hover flight time, as well as the electrical systems technology level for both batteries and motors. Payload and endurance are typically used as the measures of merit for unmanned aircraft that carry electro-optical sensors, and therefore the analysis focuses on these particular parameters.
The stimulation and dominance of potentially harmful phytoplankton taxa at a given locale and time are determined by local environmental conditions as well as by transport to or from neighboring regions. The present study investigated the occurrence of common harmful algal bloom (HAB) taxa within the Southern California Bight, using cross-correlation functions to determine potential dependencies between HAB taxa and environmental factors, and potential links to algal transport via local hydrography and currents. A simulation study, in which Lagrangian particles were released, was used to assess travel times due to advection by prevailing ocean currents in the bight. Our results indicate that transport of some taxa may be an important mechanism for the expansion of their distributions into other regions, which was supported by mean travel times derived from our simulation study and other literature on ocean currents in the Southern California Bight. In other cases, however, phytoplankton dynamics were rather linked to local environmental conditions, including coastal upwelling events. Overall, our study shows that complex current patterns in the Southern California Bight may contribute significantly to the formation and expansion of HABs in addition to local environmental factors determining the spatiotemporal dynamics of phytoplankton blooms.
68Ga-radiopharmaceuticals are common in the field of Nuclear Medicine to visualize receptor-mediated processes. In contrast to straightforward labeling procedures for clinical applications, preclinical in vitro and in vivo applications are hampered for reasons like e.g. volume
restriction, activity concentration, molar activity and osmolality. Therefore, we developed a semiautomatic system specifically to overcome these problems. A difficulty appeared unexpectedly, as intrinsic trace metals derived from eluate (Zn, Fe and Cu) are concentrated as well in amounts that influence radiochemical yield and thus lower molar activity.
This work demonstrates how the interaction between particle image velocimetry (PIV) and robotics can massively increase measurement efficiency. The interdisciplinary approach is shown using the complex example of an automated, large scale, industrial environment: a typical automotive wind tunnel application. Both the high degree of flexibility in choosing the measurement region and the complete automation of stereo PIV measurements are presented. The setup consists of a combination of three robots, individually used as a 6D traversing unit for the laser illumination system as well as for each of the two cameras. Synchronised movements in the same reference frame are realised through a master-slave setup with a single interface to the user. By integrating the interface into the standard wind tunnel management system, a single measurement plane or a predefined sequence of several planes can be requested through a single trigger event, providing the resulting vector fields within minutes.
In this paper, a brief overview on the demands of large scale industrial PIV and the existing solutions is given. Afterwards, the concept of RoboPIV is introduced as a new approach. In a first step, the usability of a selection of commercially available robot arms is analysed. The challenges of pose uncertainty and importance of absolute accuracy are demonstrated through comparative measurements, explaining the individual pros and cons of the analysed systems. Subsequently, the advantage of integrating RoboPIV directly into the existing wind tunnel management system is shown on basis of a typical measurement sequence. In a final step, a practical measurement procedure, including post-processing, is given by using real data and results. Ultimately, the benefits of high automation are demonstrated, leading to a drastic reduction in necessary measurement time compared to non-automated systems, thus massively increasing the efficiency of PIV measurements.
Intensive poultry operation systems emit a considerable volume of inorganic and organic matter in the surrounding environment. Monitoring cleaning properties of exhaust air cleaning systems and to detect small but significant changes in emission characteristics during a fattening cycle is important for both emission and fattening process control. In the present study, we evaluated the potential of near-infrared spectroscopy (NIRS) combined with chemometric techniques as a monitoring tool of exhaust air from poultry operation systems. To generate a high-quality data set for evaluation, the exhaust air of two poultry houses was sampled by applying state-of-the-art filter sampling protocols. The two stables were identical except for one crucial difference, the presence or absence of an exhaust air cleaning system. In total, twenty-one exhaust air samples were collected at the two sites to monitor spectral differences caused by the cleaning device, and to follow changes in exhaust air characteristics during a fattening period. The total dust load was analyzed by gravimetric determination and included as a response variable in multivariate data analysis. The filter samples were directly measured with NIR spectroscopy. Principal component analysis (PCA), linear discriminant analysis (LDA), and factor analysis (FA) were effective in classifying the NIR exhaust air spectra according to fattening day and origin. The results indicate that the dust load and the composition of exhaust air (inorganic or organic matter) substantially influence the NIR spectral patterns. In conclusion, NIR spectroscopy as a tool is a promising and very rapid way to detect differences between exhaust air samples based on still not clearly defined circumstances triggered during a fattening period and the availability of an exhaust air cleaning system.
20 Years of RoboCup
(2016)
Objectives
To assess the image quality of T2-weighted (T2w) magnetic resonance imaging of the prostate and the visibility of prostate cancer at 7 Tesla (T).
Materials & methods
Seventeen prostate cancer patients underwent T2w imaging at 7T with only an external transmit/receive array coil. Three radiologists independently scored images for image quality, visibility of anatomical structures, and presence of artefacts. Krippendorff’s alpha and weighted kappa statistics were used to assess inter-observer agreement. Visibility of prostate cancer lesions was assessed by directly linking the T2w images to the confirmed location of prostate cancer on histopathology.
Results
T2w imaging at 7T was achievable with ‘satisfactory’ (3/5) to ‘good’ (4/5) quality. Visibility of anatomical structures was predominantly scored as ‘satisfactory’ (3/5) and ‘good’ (4/5). If artefacts were present, they were mostly motion artefacts and, to a lesser extent, aliasing artefacts and noise. Krippendorff’s analysis revealed an α = 0.44 between three readers for the overall image quality scores. Clinically significant cancer lesions in both peripheral zone and transition zone were visible at 7T.
Conclusion
T2w imaging with satisfactory to good quality can be routinely acquired, and cancer lesions were visible in patients with prostate cancer at 7T using only an external transmit/receive body array coil.
The enormous diversity of seed traits is an intriguing feature and critical for the overwhelming success of higher plants. In particular, seed mass is generally regarded to be key for seedling development but is mostly approximated by using scanning methods delivering only two-dimensional data, often termed seed size. However, three-dimensional traits, such as the volume or mass of single seeds, are very rarely determined in routine measurements. Here, we introduce a device named phenoSeeder, which enables the handling and phenotyping of individual seeds of very different sizes. The system consists of a pick-and-place robot and a modular setup of sensors that can be versatilely extended. Basic biometric traits detected for individual seeds are two-dimensional data from projections, three-dimensional data from volumetric measures, and mass, from which seed density is also calculated. Each seed is tracked by an identifier and, after phenotyping, can be planted, sorted, or individually stored for further evaluation or processing (e.g. in routine seed-to-plant tracking pipelines). By investigating seeds of Arabidopsis (Arabidopsis thaliana), rapeseed (Brassica napus), and barley (Hordeum vulgare), we observed that, even for apparently round-shaped seeds of rapeseed, correlations between the projected area and the mass of seeds were much weaker than between volume and mass. This indicates that simple projections may not deliver good proxies for seed mass. Although throughput is limited, we expect that automated seed phenotyping on a single-seed basis can contribute valuable information for applications in a wide range of wild or crop species, including seed classification, seed sorting, and assessment of seed quality.
This paper presents the results of an eigenvalue analysis of the Fatih Sultan Mehmet Bridge. A high-resolution finite element model was created directly from the available design documents. All physical properties of the structural components were included in detail, so no calibration to the measured data was necessary. The deck and towers were modeled with shell elements. A nonlinear static analysis was performed before the eigenvalue calculation. The calculated natural frequencies and corresponding mode shapes showed good agreement with the available measured ambient vibration data. The calculation of the effective modal mass showed that nine modes had single contributions higher than 5 % of the total mass. They were in a frequency range up to 1.2 Hz. The comparison of the results for the torsional modes especially demonstrated the advantage of using thin shell finite elements over the beam modeling approach.
Based on an identifying Volterra type integral equation for randomly right censored observations from a lifetime distribution function F, we solve the corresponding estimating equation by an explicit and implicit Euler scheme. While the first approach results in some known estimators, the second one produces new semi-parametric and pre-smoothed Kaplan–Meier estimators which are real distribution functions rather than sub-distribution functions as the former ones are. This property of the new estimators is particular useful if one wants to estimate the expected lifetime restricted to the support of the observation time.
Specifically, we focus on estimation under the semi-parametric random censorship model (SRCM), that is, a random censorship model where the conditional expectation of the censoring indicator given the observation belongs to a parametric family. We show that some estimated linear functionals which are based on the new semi-parametric estimator are strong consistent, asymptotically normal, and efficient under SRCM. In a small simulation study, the performance of the new estimator is illustrated under moderate sample sizes. Finally, we apply the new estimator to a well-known real dataset.