Springer
Refine
Year of publication
Institute
- Fachbereich Medizintechnik und Technomathematik (70)
- Fachbereich Elektrotechnik und Informationstechnik (67)
- IfB - Institut für Bioengineering (40)
- Fachbereich Luft- und Raumfahrttechnik (30)
- Fachbereich Chemie und Biotechnologie (24)
- Fachbereich Energietechnik (22)
- Fachbereich Wirtschaftswissenschaften (12)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (12)
- Fachbereich Maschinenbau und Mechatronik (11)
- INB - Institut für Nano- und Biotechnologien (11)
Language
- English (237) (remove)
Document Type
- Article (122)
- Part of a Book (89)
- Conference Proceeding (24)
- Book (2)
Keywords
- MINLP (3)
- Natural language processing (3)
- Seismic design (3)
- Additive manufacturing (2)
- CFD (2)
- Engineering optimization (2)
- Information extraction (2)
- Obstacle avoidance (2)
- Optimization (2)
- Path planning (2)
- Pitching Moment (2)
- Powertrain (2)
- Process engineering (2)
- Tanks (2)
- Telecommunication (2)
- UAV (2)
- Wave Drag (2)
- Wind Tunnel (2)
- 3D printing (1)
- ABE (1)
- Acid crash (1)
- Active learning (1)
- Actuator disk modelling (1)
- Acyl-amino acids (1)
- Acylation (1)
- Advanced driver assistance systems (ADAS/AD) (1)
- Agent-based simulation (1)
- Aircraft sizing (1)
- Algal Turf Scrubber (1)
- Algal–bacterial bioflm (1)
- Aminoacylase (1)
- Analytics (1)
- Annulus Fibrosus (1)
- Autonomous mobile robots (1)
- Autonomy (1)
- BET (1)
- BEV (1)
- Balance (1)
- Balanced hypergraph (1)
- Best practice sharing (1)
- Bio-inspired systems (1)
- Biocatalysis (1)
- Bioeconomy (1)
- Bioethanol (1)
- Biogas (1)
- Biomechanical simulation (1)
- Biomolecular logic gate (1)
- Biorefinery (1)
- Biorefinery definitions (1)
- Biosurfactants (1)
- Bladder (1)
- Bloom’s Taxonomy (1)
- Bone sawing (1)
- Boundary integral equations (1)
- Brake set-up (1)
- Brake test (1)
- Business Models (1)
- Business Process (1)
- Butanol (1)
- C. acetobutylicum (1)
- CFD propeller simulation (1)
- Calorimetric gas sensor (1)
- Capacitive field-effect sensor (1)
- Cardiovascular MRI (1)
- Carsharing (1)
- Centrifugal twisting moment (1)
- Certification Rule (1)
- Change culture (1)
- Chaperone (1)
- Charging station (1)
- Charging stations (1)
- Chemical imaging (1)
- Chondroitin sulfate (1)
- Circular bioeconomy (1)
- Clustering (1)
- Co-managed care (1)
- Coefficient of ocular rigidity (1)
- Cognitive assistance system (1)
- Collaborative robot (1)
- Competence Developing Games (1)
- Complex System (1)
- Components (1)
- Connected Automated Vehicle (1)
- Controller Parameter (1)
- Cooling system (1)
- Corneo-scleral shell (1)
- Coverage probability (1)
- Cryptographic protocols (1)
- Crámer–von-Mises distance (1)
- Customer Orientation (1)
- DNA (1)
- Decentral (1)
- Deep learning (1)
- Design examples (1)
- Dietary supplements (1)
- Differential tonometry (1)
- Digital leadership (1)
- Digital manufacturing (1)
- Disc Degeneration (1)
- Drag Reduction (1)
- Drag estimation (1)
- Dry surfaces (1)
- Duality (1)
- E-carsharing (1)
- E-mobility (1)
- EN 1998-4 (1)
- Efficiency optimization (1)
- Elderly (1)
- Electrical vehicle (1)
- Electromagnetism (1)
- Electronic vehicle (1)
- Elicit (1)
- Energy efficiency (1)
- Energy market design (1)
- Engine Efficiency (1)
- Engineering optimisation (1)
- Enterprise Architecture (1)
- Enterprise architecture (1)
- Enterprise transformation (1)
- Enzyme biosensor (1)
- Equivalence test (1)
- Eurocode 8 (1)
- Evacuation Rule (1)
- Experimental validation (1)
- Extension–twist coupling (1)
- Eyeball (1)
- FGF23 (1)
- Fall prevention (1)
- Field-effect device (1)
- Field-effect sensor (1)
- Flight Test (1)
- Fracture configuration (1)
- Fracture simulation (1)
- Freight rail (1)
- Fully connected car (1)
- Game-based learning (1)
- Gamification (1)
- Gearbox (1)
- Glass powder (1)
- Glaucoma (1)
- Global optimization (1)
- Glucosamine (1)
- Gold nanoparticle (1)
- Goodness-of-fit tests for uniformity (1)
- Ground-level falls (1)
- Growth modelling (1)
- Gust wind response (1)
- Hall’s Theorem (1)
- Helmholtz equation (1)
- High field MRI (1)
- High-field NMR (1)
- Human-Robot interaction (1)
- Human-centered work design (1)
- Human-robot collaboration (1)
- Hydraulic structures (1)
- Hydrogen peroxide (1)
- Hypergraph (1)
- ISO 26262 (1)
- IT Products (1)
- IT security education (1)
- Ice melting probe (1)
- Ice penetration (1)
- Icy moons (1)
- Incident analysis (1)
- Incomplete data (1)
- Inductive charging (1)
- Industrial facilities (1)
- Industrial optimisation (1)
- Industrial units (1)
- Industry 4.0 (1)
- Information and communication technology (1)
- Integrated empirical distribution (survival) function (1)
- Integrated mobility (1)
- Interactive process mining (1)
- Interior Neumann eigenvalues (1)
- Intervertebral Disc (1)
- Intradiscal Pressure (1)
- Introduction (1)
- Keyword analysis (1)
- Klotho (1)
- Koenig’s Theorem (1)
- L-PBF (1)
- Label-free detection (1)
- Laser processing (1)
- Leaderboard (1)
- Leading Edge Vortex (1)
- Lean thinking (1)
- Left ventriular function (1)
- Level Control System (1)
- Lifting propeller (1)
- Light-addressable potentiometric sensor (1)
- Lignocellulose feedstook (1)
- Limit analysis (1)
- Local path planning (1)
- MILP (1)
- MR safety (1)
- MR-stethoscope (1)
- MRI (1)
- Mach Number (1)
- Machine learning (1)
- Magnetic field strength (1)
- Magnetic resonance imaging (MRI) (1)
- Magneto alert sensor (1)
- Malicious model (1)
- Map (eTOM) Process reference model Process design Telecommunications industry (1)
- Marginal homogeneity test (1)
- Market modeling (1)
- Mars (1)
- Matching (1)
- Mechanical (1)
- Mechanical simulation (1)
- Melting (1)
- Metabolic shift (1)
- Methane (1)
- Methodology (1)
- Microbial adhesion (1)
- Minimum Risk Manoeuvre (1)
- Minor chemistry (1)
- Mixed-integer nonlinear black-box optimization (1)
- Mixed-integer nonlinear problem (1)
- Mixed-integer nonlinear programming (1)
- Mixed-integer programming (1)
- Mobility (1)
- Mobility management (1)
- Mobility tests (1)
- Multi-criteria optimization (1)
- Multi-robot systems (1)
- Multi-sensor system (1)
- Multidisciplinary Design Optimization (1)
- Multimode failure (1)
- Multirotor UAS (1)
- Muscle fibers (1)
- Natural language understanding (1)
- Network (1)
- Neural Network (1)
- Noise Exposure (1)
- Non-linear optimization (1)
- Nonlinear Dynamics (1)
- Nucleus Pulposus (1)
- Numerical inversion of Laplace transforms (1)
- Numerics (1)
- OR 2019 (1)
- Objective data (1)
- Ocean worlds (1)
- Ocular blood flow (1)
- On-site (1)
- Open channels (1)
- Operational Design Domain (1)
- Optimal Closed Loop (1)
- Optimal Topology (1)
- PTH (1)
- Paired sample (1)
- Paper recycling (1)
- Parabolized Stability Equation (1)
- Parasitic drag (1)
- Parking (1)
- Passenger compartment (1)
- Passive stretching (1)
- Pelvic floor dysfunction (1)
- Pelvic muscle (1)
- Performance (1)
- Personality (1)
- Phosphate (1)
- Physical chemistry (1)
- Physical chemistry basics (1)
- Physical chemistry starters (1)
- Physical modeling (1)
- Piecewise linearization (1)
- Plant virus (1)
- Polysaccharides (1)
- Potential theory (1)
- Potentiometry (1)
- Pre-culture (1)
- Pre-treatment (1)
- Pressure-volume relationship (1)
- Privacy (1)
- Privacy-enhancing technologies (1)
- Process design (1)
- Process reference model (1)
- Process schemes (1)
- Process virtualization (1)
- Product Management (1)
- Product bundling (1)
- Product family optimization (1)
- Profile extraction (1)
- Propeller aerodynamics (1)
- Propeller performance (1)
- Proximal humerus fracture (1)
- Pumping systems (1)
- Pushover analysis (1)
- Query learning (1)
- RVA (1)
- Rapid manufacturing (1)
- Rapid prototyping (1)
- Reconstruction (1)
- Reference modelling (1)
- Relation classification (1)
- Reliability analysis (1)
- Renewable resources (1)
- Reproducible research (1)
- Resampling test (1)
- Reservation system (1)
- Resilience (1)
- Resolvent Operator (1)
- Response spectrum (1)
- Responsibility (1)
- RoboCup (1)
- Rotator cuff (1)
- Safety concept (1)
- Safety of the intended functionality (SOTIF) (1)
- Safety-critical systems validation (1)
- Sampling methods (1)
- Secure multi-party computation (1)
- Services (1)
- Severe Accident (1)
- Shakedown analysis (1)
- Silos (1)
- Similitude (1)
- Simulation (1)
- Smart factory (1)
- Software (1)
- Software development (1)
- Software testing (1)
- Sonic Boom (1)
- Specific Fuel Consumption (1)
- Spectral analysis (1)
- Strategic Business Planning (1)
- Structural health monitoring (1)
- Supersonic Flow (1)
- Supersonic Wind Tunnel (1)
- Surface microorganisms (1)
- Swabbing (1)
- TM Forum (1)
- Teamwork (1)
- Technical Operation Research (1)
- Technical Operations Research (1)
- Technology Challenge (1)
- Telecommunication Industry (1)
- Text mining (1)
- Thermal Fatigue Testing (1)
- Thermal comfort (1)
- Thermal management (1)
- Thermodynamics as minor (1)
- Tinetti test (1)
- Tobacco mosaic virus (TMV) (1)
- Train composition (1)
- Transformation (1)
- Transformation Project (1)
- Transiton of Control (1)
- Trapeze effect (1)
- Trustworthy artificial intelligence (1)
- Uktrahigh field MRI (1)
- Unmanned aerial vehicles (1)
- Urban areas (1)
- Ureter (1)
- Utilization improvement (1)
- V2X (1)
- Validation (1)
- Variable Geometry (1)
- Vascular response (1)
- Vertex cover (1)
- Visual field asymmetry (1)
- Vitamin D (1)
- WLTP (1)
- Water (1)
- Water distribution system (1)
- Wind milling (1)
- Wind tunnel experiments (1)
- Wind turbulence (1)
- Workspace monitoring (1)
- Zero-knowledge proofs (1)
- Zeta potential (1)
- business analytics (1)
- decision analytics (1)
- digital economy (1)
- enhanced Telecom Operations Map (eTOM) (1)
- mathematical optimization (1)
- training simulator (1)
- virtual reality (1)
Human-induced pluripotent stem cell-derived cardiomyocytes (hiPS-CM) today are widely used for the investigation of normal electromechanical cardiac function, of cardiac medication and of mutations. Computational models are thus established that simulate the behavior of this kind of cells. This section first motivates the modeling of hiPS-CM and then presents and discusses several modeling approaches of microscopic and macroscopic constituents of human-induced pluripotent stem cell-derived and mature human cardiac tissue. The focus is led on the mapping of the computational results one can achieve with these models onto mature human cardiomyocyte models, the latter being the real matter of interest. Model adaptivity is the key feature that is discussed because it opens the way for modeling various biological effects like biological variability, medication, mutation and phenotypical expression. We compare the computational with experimental results with respect to normal cardiac function and with respect to inotropic and chronotropic drug effects. The section closes with a discussion on the status quo of the specificity of computational models and on what challenges have to be solved to reach patient-specificity.
Reconstructive surgery and tissue replacements like ureters or bladders reconstruction have been recently studied, taking into account growth and remodelling of cells since living cells are capable of growing, adapting, remodelling or degrading and restoring in order to deform and respond to stimuli. Hence, shapes of ureters or bladders and their microstructure change during growth and these changes strongly depend on external stimuli such as training. We present the mechanical stimulation of smooth muscle cells in a tubular fibrin-PVDFA scaffold and the modelling of the growth of tissue by stimuli. To this end, mechanotransduction was performed with a kyphoplasty balloon catheter that was guided through the lumen of the tubular structure. The bursting pressure was examined to compare the stability of the incubated tissue constructs. The results showed the significant changes on tissues with training by increasing the burst pressure as a characteristic mechanical property and the smooth muscle cells were more oriented with uniformly higher density. Besides, the computational growth models also exhibited the accurate tendencies of growth of the cells under different external stimuli. Such models may lead to design standards for the better layered tissue structure in reconstructing of tubular organs characterized as composite materials such as intestines, ureters and arteries.
Mechanical forces/tensile stresses are critical determinants of cellular growth, differentiation and migration patterns in health and disease. The innovative “CellDrum technology” was designed for measuring mechanical tensile stress of cultured cell monolayers/thin tissue constructs routinely. These are cultivated on very thin silicone membranes in the so-called CellDrum. The cell layers adhere firmly to the membrane and thus transmit the cell forces generated. A CellDrum consists of a cylinder which is sealed from below with a 4 μm thick, biocompatible, functionalized silicone membrane. The weight of cell culture medium bulbs the membrane out downwards. Membrane indentation is measured. When cells contract due to drug action, membrane, cells and medium are lifted upwards. The induced indentation changes allow for lateral drug induced mechanical tension quantification of the micro-tissues. With hiPS-induced (human) Cardiomyocytes (CM) the CellDrum opens new perspectives of individualized cardiac drug testing. Here, monolayers of self-beating hiPS-CMs were grown in CellDrums. Rhythmic contractions of the hiPS-cells induce membrane up-and-down deflections. The recorded cycles allow for single beat amplitude, single beat duration, integration of the single beat amplitude over the beat time and frequency analysis. Dose effects of agonists and antagonists acting on Ca2+ channels were sensitively and highly reproducibly observed. Data were consistent with published reference data as far as they were available. The combination of the CellDrum technology with hiPS-Cardiomyocytes offers a fast, facile and precise system for pharmacological and toxicological studies. It allows new preclinical basic as well as applied research in pharmacolgy and toxicology.
Pelvic floor dysfunction (PFD) is characterized by the failure of the levator ani (LA) muscle to maintain the pelvic hiatus, resulting in the descent of the pelvic organs below the pubococcygeal line. This chapter adopts the modified Humphrey material model to consider the effect of the muscle fiber on passive stretching of the LA muscle. The deformation of the LA muscle subjected to intra-abdominal pressure during Valsalva maneuver is compared with the magnetic resonance imaging (MRI) examination of a nulliparous female. Numerical result shows that the fiber-based Humphrey model simulates the muscle behavior better than isotropic constitutive models. Greater posterior movement of the LA muscle widens the levator hiatus due to lack of support from the anococcygeal ligament and the perineal structure as a consequence of birth-related injury and aging. Old and multiparous females with uncontrolled urogenital and rectal hiatus tend to develop PFDs such as prolapse and incontinence.
Cyber-physical systems are ever more common in manufacturing industries. Increasing their autonomy has been declared an explicit goal, for example, as part of the Industry 4.0 vision. To achieve this system intelligence, principled and software-driven methods are required to analyze sensing data, make goal-directed decisions, and eventually execute and monitor chosen tasks. In this chapter, we present a number of knowledge-based approaches to these problems and case studies with in-depth evaluation results of several different implementations for groups of autonomous mobile robots performing in-house logistics in a smart factory. We focus on knowledge-based systems because besides providing expressive languages and capable reasoning techniques, they also allow for explaining how a particular sequence of actions came about, for example, in the case of a failure.
20 Years of RoboCup
(2016)
An immunochromatographic lateral flow dipstick assay for the fast detection of microcystin-LR was developed. Colloid gold particles with diameters of 40 nm were used as red-colored antibody labels for the visual detection of the antigen. The new dipstick sensor is capable of detecting down to 5 µg·l−1 (ppb; total inversion of the color signal) or 1 ppb (observation of color grading) of microcystin-LR. The course of the labeling reaction was observed via spectrometric wave shifts caused by the change of particle size during the binding of antibodies. Different stabilizing reagents showed that especially bovine serum albumin (BSA) and casein increase the assays sensitivity and the conjugate stability. Performance of the dipsticks was quantified by pattern processing of capture zone CCD images. Storage stability of dipsticks and conjugate suspensions over 115 days under different conditions were monitored. The ready-to-use dipsticks were successfully tested with microcystin-LR-spiked samples of outdoor drinking- and salt water and applied to the tissue of microcystin-fed mussels.
Three amperometric biosensors have been developed for the detection of L-malic acid, fumaric acid, and L -aspartic acid, all based on the combination of a malate-specific dehydrogenase (MDH, EC 1.1.1.37) and diaphorase (DIA, EC 1.8.1.4). The stepwise expansion of the malate platform with the enzymes fumarate hydratase (FH, EC 4.2.1.2) and aspartate ammonia-lyase (ASPA, EC 4.3.1.1) resulted in multi-enzyme reaction cascades and, thus, augmentation of the substrate spectrum of the sensors. Electrochemical measurements were carried out in presence of the cofactor β-nicotinamide adenine dinucleotide (NAD+) and the redox mediator hexacyanoferrate (III) (HCFIII). The amperometric detection is mediated by oxidation of hexacyanoferrate (II) (HCFII) at an applied potential of + 0.3 V vs. Ag/AgCl. For each biosensor, optimum working conditions were defined by adjustment of cofactor concentrations, buffer pH, and immobilization procedure. Under these improved conditions, amperometric responses were linear up to 3.0 mM for L-malate and fumarate, respectively, with a corresponding sensitivity of 0.7 μA mM−1 (L-malate biosensor) and 0.4 μA mM−1 (fumarate biosensor). The L-aspartate detection system displayed a linear range of 1.0–10.0 mM with a sensitivity of 0.09 μA mM−1. The sensor characteristics suggest that the developed platform provides a promising method for the detection and differentiation of the three substrates.
In this paper we propose a stochastic programming method to analyse limit and shakedown of structures under uncertainty condition of strength. Based on the duality theory, the shakedown load multiplier formulated by the kinematic theorem is proved actually to be the dual form of the shakedown load multiplier formulated by static theorem. In this investigation a dual chance constrained programming algorithm is developed to calculate simultaneously both the upper and lower bounds of the plastic collapse limit and the shakedown limit. The edge-based smoothed finite element method (ES-FEM) with three-node linear triangular elements is used for structural analysis.
The coupling of charged molecules, nanoparticles, and more generally, inorganic/organic nanohybrids with semiconductor field-effect devices based on an electrolyte–insulator–semiconductor (EIS) system represents a very promising strategy for the active tuning of electrochemical properties of these devices and, thus, opening new opportunities for label-free biosensing by the intrinsic charge of molecules. The simplest field-effect sensor is a capacitive EIS sensor, which represents a (bio-)chemically sensitive capacitor. In this chapter, selected examples of recent developments in the field of label-free biosensing using nanomaterial-modified capacitive EIS sensors are summarized. In the first part, we present applications of EIS sensors modified with negatively charged gold nanoparticles for the label-free electrostatic detection of positively charged small proteins and macromolecules, for monitoring the layer-by-layer formation of oppositely charged polyelectrolyte (PE) multilayers as well as for the development of an enzyme-based biomolecular logic gate. In the second part, examples of a label-free detection by means of EIS sensors modified with a positively charged weak PE layer are demonstrated. These include electrical detection of on-chip and in-solution hybridized DNA (deoxyribonucleic acid) as well as an EIS sensor with pH-responsive weak PE/enzyme multilayers for enhanced field-effect biosensing.
The incorporation of nanomaterials that are biocompatible with different types of biological compounds has allowed the development of a new generation of biosensors applied especially in the biomedical field. In particular, the integration of film-based nanomaterials employed in field-effect devices can be interesting to develop biosensors with enhanced properties. In this paper, we studied the fabrication of sensitive nanofilms combining ZnO nanocrystals and carbon nanotubes (CNTs), prepared by means of the layer-by-layer (LbL) technique, in a capacitive electrolyte-insulator-semiconductor (EIS) structure for detecting glucose and urea. The ZnO nanocrystals were incorporated in a polymeric matrix of poly(allylamine) hydrochloride (PAH), and arranged with multi-walled CNTs in a LbL PAH-ZnO/CNTs film architecture onto EIS chips. The electrochemical characterizations were performed by capacitance–voltage and constant capacitance measurements, while the morphology of the films was characterized by atomic force microscopy. The enzymes glucose oxidase and urease were immobilized on film’s surface for detection of glucose and urea, respectively. In order to obtain glucose and urea biosensors with optimized amount of sensitive films, we investigated the ideal number of bilayers for each detection system. The glucose biosensor showed better sensitivity and output signal for an LbL PAH-ZnO/CNTs nanofilm with 10 bilayers. On the other hand, the urea biosensor presented enhanced properties even for the first bilayer, exhibiting high sensitivity and output signal. The presence of the LbL PAH-ZnO/CNTs films led to biosensors with better sensitivity and enhanced response signal, demonstrating that the adequate use of nanostructured films is feasible for proof-of-concept biosensors with improved properties that may be employed for biomedical applications.
Due to their anion exchange characteristics, layered double hydroxides (LDHs) are suitable for the detoxification of aqueous, fatty acid containing fermentation substrates. The aim of this study is to examine the adsorption mechanism, using crude glycerol from plant oil esterification as a model system. Changes in the intercalation structure in relation to the amount of fatty acids adsorbed are monitored by X-ray diffraction and infra-red spectroscopy. Additionally, calcination of LDH is investigated in order to increase the binding capacity for fatty acids. Our data propose that, at ambient temperature, fatty acids can be bound to the hydrotalcite by adsorption or in addition by intercalation, depending on fatty acid concentration. The adsorption of fatty acids from crude glycerol shows a BET-like behavior. Above a fatty acid concentration of 3.5 g L−1, intercalation of fatty acids can be shown by the appearance of an increased interlayer spacing. This observation suggests a two phase adsorption process. Calcination of LDHs allows increasing the binding capacity for fatty acids by more than six times, mainly by reduction of structural CO32−.