Refine
Year of publication
- 2022 (133) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (41)
- Fachbereich Energietechnik (29)
- IfB - Institut für Bioengineering (27)
- ECSM European Center for Sustainable Mobility (16)
- Fachbereich Chemie und Biotechnologie (16)
- Solar-Institut Jülich (14)
- Fachbereich Elektrotechnik und Informationstechnik (12)
- Fachbereich Luft- und Raumfahrttechnik (11)
- INB - Institut für Nano- und Biotechnologien (11)
- Kommission für Forschung und Entwicklung (10)
Has Fulltext
- no (133) (remove)
Language
- English (133) (remove)
Document Type
- Article (69)
- Conference Proceeding (46)
- Part of a Book (9)
- Conference: Meeting Abstract (5)
- Other (2)
- Book (1)
- Conference Poster (1)
Keywords
- Concentrated solar power (3)
- Energy storage (3)
- Hybrid energy system (3)
- Biocomposites (2)
- Chemometrics (2)
- Digital Twin (2)
- Earthquake (2)
- Electricity generation (2)
- Gamification (2)
- Heparin (2)
- IO-Link (2)
- NMR spectroscopy (2)
- Natural fibres (2)
- Polymer-matrix composites (2)
- Power plants (2)
- Seismic design (2)
- Seismic loading (2)
- Solar thermal technologies (2)
- Stress concentrations (2)
- damage (2)
- seismic design (2)
- 10BASE-T1L (1)
- Additive Manufacturing (1)
- Additive manufacturing (1)
- Alzheimer's disease (1)
- Analogue Environments (1)
- Angle Sensor (1)
- Arduino (1)
- Artificial Intelligence (1)
- Artificial intelligence (1)
- Assembly (1)
- Asset Administration Shell (1)
- Associated liquids (1)
- Automated driving (1)
- Automotive application (1)
- Behaviour factor q (1)
- Benchmark (1)
- Binder Jetting (1)
- Biomass (1)
- Biomechanical simulation (1)
- Bootstrapping (1)
- Boundary integral equations (1)
- CAV (1)
- Camera system (1)
- Case Study (1)
- Categorial variable (1)
- Cementoblast (1)
- Central receiver power plant (1)
- Central receiver system (1)
- Ceramics (1)
- Challenges (1)
- Chance constrained programming (1)
- Change management (1)
- Civil engineering (1)
- Clinical decision support systems (1)
- Cloud passages (1)
- Clustering (1)
- Collective risk model (1)
- Compression (1)
- Concentrated solar collector (1)
- Concentrated systems (1)
- Concomitant (1)
- Conductive boundary condition (1)
- Conpot (1)
- Control optimization (1)
- Crude heparin (1)
- Cryobot (1)
- DNI forecast (1)
- DNI forecasting (1)
- Decoupling (1)
- Digital Twin Evolution (1)
- Digital Twins (1)
- Direct normal irradiance forecast (1)
- Directed Energy Deposition (1)
- Diversity management (1)
- Drinfeld modules (1)
- Dynamic simulation (1)
- EN 1998-4 (1)
- ES-FEM (1)
- ESHM20, industrial facilities (1)
- Electrical Flight (1)
- Empirical process (1)
- Energy system (1)
- Erasmus+ United (1)
- Ethernet (1)
- Evolution of damage (1)
- Explainability (1)
- Extension fracture (1)
- Extension strain criterion (1)
- FGF23 (1)
- FPGA (1)
- FS-FEM (1)
- Feature selection (1)
- Field device (1)
- Finite element analysis (1)
- Finite element analysis (FEA) (1)
- Flight Mechanics (1)
- Flight Tests (1)
- Forces (1)
- Fracture classification (1)
- Fracture configuration (1)
- Fracture simulation (1)
- Gas turbine (1)
- Genetic algorithm (1)
- Global change (1)
- Guidelines (1)
- Haemodialysis (1)
- Handbike (1)
- Hazard assessment (1)
- Heliostat Field Calibration (1)
- Heliostats (1)
- Heterostructure (1)
- Higher derivations (1)
- Humidity (1)
- Hybridization (1)
- ICS (1)
- INSYSME (1)
- IR spectroscopy (1)
- Ice Melting (1)
- Icy Moons (1)
- Image Reconstruction (1)
- Imaging (1)
- In-plane load (1)
- In-plane performance, isolation (1)
- Inclusive work climate (1)
- Incremental Encoder (1)
- Independence test (1)
- Industrial Communication (1)
- Industrial facilities (1)
- Industry 4.0 (1)
- Infill wall design (1)
- Inflight Regeneration, Recuperation (1)
- Information Extraction (1)
- Inorganic ions (1)
- Instructional design (1)
- Interaction (1)
- Interstellar objects (1)
- Inverse spectral problem (1)
- Ions (1)
- Justice (1)
- Kalman filter (1)
- Klotho (1)
- Knowledge Transfer (1)
- L-PBF (1)
- LPBF (1)
- Landslide tsunamis (1)
- Large scale tests (1)
- Laser-Powder Bed Fusion (1)
- Level system (1)
- Lidar (1)
- Limit analysis (1)
- Linear elastic analysis (1)
- Machine Learning (1)
- Machine learning (1)
- Malaysian automotive industry (1)
- Masonry infill (1)
- Measurement models (1)
- Measurement uncertainty (1)
- Measuring instruments (1)
- Mechanotransduction (1)
- Medical AI (1)
- Melting Efficiency (1)
- Melting Performance (1)
- Melting Probe (1)
- Metascintillator (1)
- Microcirculation (1)
- Mild cognitive impairment (1)
- Missions (1)
- Mixed integer linear programming (MILP) (1)
- Modelling (1)
- Modern constructions (1)
- Mohr–Coulomb criterion (1)
- Molecular modelling (1)
- Molecular weight determination (1)
- Molten salt receiver (1)
- Molten salt receiver system (1)
- Molten salt receiver system, (1)
- Molten salt solar tower (1)
- Monte Carlo Tree Search (1)
- Morphing (1)
- Multi-agent Systems (1)
- Multiple TOF kernels (1)
- Myocardial infarction and cardiac death (1)
- NMR (1)
- Natural Language Processing (1)
- Niacin (1)
- Normative standards (1)
- Nowcasting (1)
- Numerical modelling (1)
- Ocean Worlds (1)
- Organizational culture (1)
- Out-of-plane load (1)
- Overland flow (1)
- PEM fuel cells (1)
- PLS-regression (1)
- PTC (1)
- PTH (1)
- Parabolic trough collector (1)
- Paralympic sport (1)
- Perception (1)
- Periods (1)
- Phosphate (1)
- Photovoltaics (1)
- Position Encoder (1)
- Powder Material (1)
- Power conversion systems (1)
- Probability distribution mapping (1)
- Process mining (1)
- Process prediction (1)
- Profile Extraction (1)
- Propeller Aerodynamics (1)
- Proper Orthogonal Decomposition (1)
- Proximal humerus fracture (1)
- Psychological concepts (1)
- Pulsations (1)
- Q-criterion (1)
- Quadrocopter (1)
- Quality control (1)
- Quantum Computing (1)
- Quantum Machine Learning (1)
- Quantum chemistry (1)
- Rapid-prototyping (1)
- Reinforced concrete frame (1)
- Reliability of structures (1)
- Renewable energy (1)
- Retinal vessel analysis (1)
- Retinal vessels (1)
- Riboflavin (1)
- Rotational Encoder (1)
- Rotator cuff (1)
- S-FEM (1)
- SME (1)
- Self-driving (1)
- Sensors (1)
- Shakedown analysis (1)
- Shoulder (1)
- Solar concentration (1)
- Solar dish (1)
- Solar irradiance (1)
- Solitary waves (1)
- Standardization (1)
- Star design (1)
- Stochastic programming (1)
- Structural design (1)
- Structural health monitoring (1)
- Support System (1)
- TOF PET (1)
- Tanks (1)
- Tension (1)
- Text Mining (1)
- Thermal Energy Storage (1)
- Thiamine (1)
- Time-series aggregation (1)
- Tobacco mosaic virus (1)
- Training (1)
- Trajectories (1)
- Transcendence (1)
- Transient flux distribution (1)
- Transmission eigenvalues (1)
- Two-phase modelling (1)
- Typical periods (1)
- UAV (1)
- USP (1)
- UTeM Engineering Knowledge Transfer Unit (1)
- Uncertainty analysis (1)
- Unmanned aerial vehicle (1)
- Unreinforced masonry buildings (1)
- User study (1)
- Vasomotions (1)
- Virtual reality (1)
- Vitamin A (1)
- Vitamin B (1)
- Vitamin D (1)
- Wiegand Effect (1)
- Window opening (1)
- acetoin (1)
- additive manufacturing (1)
- adipose-derived stromal cells (ASCs) (1)
- aminooctanethiol (1)
- anaesthetic complications (1)
- anisotropy (1)
- aortic perfusion (1)
- aseptic parameters (1)
- automated vehicles (1)
- aviation application (1)
- bacterial cellulose (1)
- batteries and fuel cells (1)
- behaviour factor q (1)
- bi-enzyme biosensor (1)
- biaxial tensile experiment (1)
- biopotential electrodes (1)
- biosensors (1)
- body imaging at 7 T MRI (1)
- bootstrap (1)
- borefields (1)
- borehole disposal (1)
- bullying (1)
- capacitive field-effect biosensor (1)
- capacitive field-effect sensor (1)
- capacitive model (1)
- cell aerosolization (1)
- cell atomization (1)
- cerebral small vessel disease (1)
- chance constrained programming (1)
- coculture (1)
- cognitive impairment (1)
- coherent structures (1)
- combustor development (1)
- competence developing games (1)
- computational fluid dynamics analysis (1)
- connected automated vehicles (1)
- constitutive modeling (1)
- control system (1)
- correlation (1)
- crystallization (1)
- cyber physical production system (1)
- cyber-physical production system (1)
- cybersecurity (1)
- dental trauma (1)
- dialysis (1)
- difficult airway (1)
- digital shadow (1)
- digital twin (1)
- disposal facility (1)
- distorted element (1)
- double-lumen tube intubation (1)
- electrolyte-insulator-semiconductor capacitors (1)
- electrospinning (1)
- emission (1)
- endoluminal (1)
- energy (1)
- enzyme immobilization (1)
- enzyme-logic gate (1)
- exopolysaccharides (1)
- experimental evaluation (1)
- extracorporeal membrane oxygenation (1)
- eye movement modelling examples (1)
- fibers (1)
- field-effect sensor (1)
- force generation (1)
- forehead EEG (1)
- frequency mixing magnetic detection (1)
- fuel cell systems (1)
- fuels (1)
- fused filament fabrication (1)
- gaseous hydrogen peroxide (1)
- geological disposal (1)
- geothermal (1)
- gold nanoparticles (1)
- health management systems (1)
- high-intensity exercise (1)
- honeynet (1)
- honeypot (1)
- human digital shadow (1)
- human factors (1)
- human-machine interface (1)
- hydraulic modelling (1)
- hydrogen (1)
- hyperelastic (1)
- ignition (1)
- impedance spectroscopy (1)
- in-ear EEG (1)
- industrial gas turbine (1)
- irradiation (1)
- lessons learned (1)
- limit analysis (1)
- linear elastic analysis; (1)
- magnetic nanoparticles (1)
- magnetic sensors (1)
- metrological characterization (1)
- microplasma (1)
- microwave (MW) plasma (1)
- model performance (1)
- modern constructions (1)
- multi-sensing platform (1)
- muscle fascicle behavior (1)
- nanoparticle coverage (1)
- non-simplex S-FEM elements (1)
- nuclear waste (1)
- passive inter-modulation (1)
- penicillinase (1)
- performance testing (1)
- plasma jet (1)
- policy recommendations (1)
- polyetheretherketone (1)
- porous materials (1)
- power integrity (1)
- prebiotic (1)
- pullulan (1)
- rapid tooling (1)
- recommendations for actions (1)
- reliability of structures (1)
- requirements (1)
- retention time (1)
- retinal vessels (1)
- sEMG (1)
- safety control (1)
- seismic hazard (1)
- shakedown analysis (1)
- signal integrity (1)
- simulation (1)
- sizing (1)
- smooth muscle contraction (1)
- software engineering (1)
- spore kill rate (1)
- sterility (1)
- stochastic programming (1)
- strain energy function (1)
- survival (1)
- systematic literature review (1)
- t-modules (1)
- technology transfer (1)
- tendon rupture (1)
- thermal dose (1)
- tissue temperature (1)
- tobacco mosaic virus (TMV) (1)
- transmit antenna arrays (1)
- tri-lineage differentiation (1)
- twin-fluid atomizer (1)
- ultrasound imaging (1)
- unreinforced masonry buildings (1)
- urease (1)
- video learning (1)
- videolaryngoscopy (1)
- virgin passive (1)
- viscoelasticity (1)
- walking gait (1)
In the past, CSP and PV have been seen as competing technologies. Despite massive reductions in the electricity generation costs of CSP plants, PV power generation is - at least during sunshine hours - significantly cheaper. If electricity is required not only during the daytime, but around the clock, CSP with its inherent thermal energy storage gets an advantage in terms of LEC. There are a few examples of projects in which CSP plants and PV plants have been co-located, meaning that they feed into the same grid connection point and ideally optimize their operation strategy to yield an overall benefit. In the past eight years, TSK Flagsol has developed a plant concept, which merges both solar technologies into one highly Integrated CSP-PV-Hybrid (ICPH) power plant. Here, unlike in simply co-located concepts, as analyzed e.g. in [1] – [4], excess PV power that would have to be dumped is used in electric molten salt heaters to increase the storage temperature, improving storage and conversion efficiency. The authors demonstrate the electricity cost sensitivity to subsystem sizing for various market scenarios, and compare the resulting optimized ICPH plants with co-located hybrid plants. Independent of the three feed-in tariffs that have been assumed, the ICPH plant shows an electricity cost advantage of almost 20% while maintaining a high degree of flexibility in power dispatch as it is characteristic for CSP power plants. As all components of such an innovative concept are well proven, the system is ready for commercial market implementation. A first project is already contracted and in early engineering execution.
The work presented in this report provides scientific support to building renovation policies in the EU by promoting a holistic point of view on the topic. Integrated renovation can be seen as a nexus between European policies on disaster resilience, energy efficiency and circularity in the building sector. An overview of policy measures for the seismic and energy upgrading of buildings across EU Member States identified only a few available measures for combined upgrading. Regulatory framework, financial instruments and digital tools similar to those for energy renovation, together with awareness and training may promote integrated renovation. A framework for regional prioritisation of building renovation was put forward, considering seismic risk, energy efficiency, and socioeconomic vulnerability independently and in an integrated way. Results indicate that prioritisation of building renovation is a multidimensional problem. Depending on priorities, different integrated indicators should be used to inform policies and accomplish the highest relative or most spread impact across different sectors. The framework was further extended to assess the impact of renovation scenarios across the EU with a focus on priority regions. Integrated renovation can provide a risk-proofed, sustainable, and inclusive built environment, presenting an economic benefit in the order of magnitude of the highest benefit among the separate interventions. Furthermore, it presents the unique capability of reducing fatalities and energy consumption at the same time and, depending on the scenario, to a greater extent.
An improved and convenient ninhydrin assay for aminoacylase activity measurements was developed using the commercial EZ Nin™ reagent. Alternative reagents from literature were also evaluated and compared. The addition of DMSO to the reagent enhanced the solubility of Ruhemann's purple (RP). Furthermore, we found that the use of a basic, aqueous buffer enhances stability of RP. An acidic protocol for the quantification of lysine was developed by addition of glacial acetic acid. The assay allows for parallel processing in a 96-well format with measurements microtiter plates.
Analysis and computation of the transmission eigenvalues with a conductive boundary condition
(2022)
We provide a new analytical and computational study of the transmission eigenvalues with a conductive boundary condition. These eigenvalues are derived from the scalar inverse scattering problem for an inhomogeneous material with a conductive boundary condition. The goal is to study how these eigenvalues depend on the material parameters in order to estimate the refractive index. The analytical questions we study are: deriving Faber–Krahn type lower bounds, the discreteness and limiting behavior of the transmission eigenvalues as the conductivity tends to infinity for a sign changing contrast. We also provide a numerical study of a new boundary integral equation for computing the eigenvalues. Lastly, using the limiting behavior we will numerically estimate the refractive index from the eigenvalues provided the conductivity is sufficiently large but unknown.
The recently discovered first hyperbolic objects passing through the Solar System, 1I/’Oumuamua and 2I/Borisov, have raised the question about near term missions to Interstellar Objects. In situ spacecraft exploration of these objects will allow the direct determination of both their structure and their chemical and isotopic composition, enabling an entirely new way of studying small bodies from outside our solar system. In this paper, we map various Interstellar Object classes to mission types, demonstrating that missions to a range of Interstellar Object classes are feasible, using existing or near-term technology. We describe flyby, rendezvous and sample return missions to interstellar objects, showing various ways to explore these bodies characterizing their surface, dynamics, structure and composition. Their direct exploration will constrain their formation and history, situating them within the dynamical and chemical evolution of the Galaxy. These mission types also provide the opportunity to explore solar system bodies and perform measurements in the far outer solar system.
Exposure to prolonged periods in microgravity is associated with deconditioning of the musculoskeletal system due to chronic changes in mechanical stimulation. Given astronauts will operate on the Lunar surface for extended periods of time, it is critical to quantify both external (e.g., ground reaction forces) and internal (e.g., joint reaction forces) loads of relevant movements performed during Lunar missions. Such knowledge is key to predict musculoskeletal deconditioning and determine appropriate exercise countermeasures associated with extended exposure to hypogravity.
Upcoming gasoline engines should run with a larger number of fuels beginning from petrol over methanol up to gas by a wide range of compression ratios and a homogeneous charge. In this article, the microwave (MW) spark plug, based on a high-speed frequency hopping system, is introduced as a solution, which can support a nitrogen compression ratio up to 1:39 in a chamber and more. First, an overview of the high-speed frequency hopping MW ignition and operation system as well as the large number of applications are presented. Both gives an understanding of this new base technology for MW plasma generation. Focus of the theoretical part is the explanation of the internal construction of the spark plug, on the achievable of the high voltage generation as well as the high efficiency to hold the plasma. In detail, the development process starting with circuit simulations and ending with the numerical multiphysics field simulations is described. The concept is evaluated with a reference prototype covering the frequency range between 2.40 and 2.48 GHz and working over a large power range from 20 to 200 W. A larger number of different measurements starting by vector hot-S11 measurements and ending by combined working scenarios out of hot temperature, high pressure and charge motion are winding up the article. The limits for the successful pressure tests were given by the pressure chamber. Pressures ranged from 1 to 39 bar and charge motion up to 25 m/s as well as temperatures from 30◦ to 125◦.
Industrial production systems are facing radical change in multiple dimensions. This change is caused by technological developments and the digital transformation of production, as well as the call for political and social change to facilitate a transformation toward sustainability. These changes affect both the capabilities of production systems and companies and the design of higher education and educational programs. Given the high uncertainty in the likelihood of occurrence and the technical, economic, and societal impacts of these concepts, we conducted a technology foresight study, in the form of a real-time Delphi analysis, to derive reliable future scenarios featuring the next generation of manufacturing systems. This chapter presents the capabilities dimension and describes each projection in detail, offering current case study examples and discussing related research, as well as implications for policy makers and firms. Specifically, we discuss the benefits of capturing expert knowledge and making it accessible to newcomers, especially in highly specialized industries. The experts argue that in order to cope with the challenges and circumstances of today’s world, students must already during their education at university learn how to work with AI and other technologies. This means that study programs must change and that universities must adapt their structural aspects to meet the needs of the students.
Carbon nanofiber nonwovens represent a powerful class of materials with prospective application in filtration technology or as electrodes with high surface area in batteries, fuel cells, and supercapacitors. While new precursor-to-carbon conversion processes have been explored to overcome productivity restrictions for carbon fiber tows, alternatives for the two-step thermal conversion of polyacrylonitrile precursors into carbon fiber nonwovens are absent. In this work, we develop a continuous roll-to-roll stabilization process using an atmospheric pressure microwave plasma jet. We explore the influence of various plasma-jet parameters on the morphology of the nonwoven and compare the stabilized nonwoven to thermally stabilized samples using scanning electron microscopy, differential scanning calorimetry, and infrared spectroscopy. We show that stabilization with a non-equilibrium plasma-jet can be twice as productive as the conventional thermal stabilization in a convection furnace, while producing electrodes of comparable electrochemical performance.
Atmospheric pressure plasma-jet treatment of PAN-nonwovens—carbonization of nanofiber electrodes
(2022)
Carbon nanofibers are produced from dielectric polymer precursors such as polyacrylonitrile (PAN). Carbonized nanofiber nonwovens show high surface area and good electrical conductivity, rendering these fiber materials interesting for application as electrodes in batteries, fuel cells, and supercapacitors. However, thermal processing is slow and costly, which is why new processing techniques have been explored for carbon fiber tows. Alternatives for the conversion of PAN-precursors into carbon fiber nonwovens are scarce. Here, we utilize an atmospheric pressure plasma jet to conduct carbonization of stabilized PAN nanofiber nonwovens. We explore the influence of various processing parameters on the conductivity and degree of carbonization of the converted nanofiber material. The precursor fibers are converted by plasma-jet treatment to carbon fiber nonwovens within seconds, by which they develop a rough surface making subsequent surface activation processes obsolete. The resulting carbon nanofiber nonwovens are applied as supercapacitor electrodes and examined by cyclic voltammetry and impedance spectroscopy. Nonwovens that are carbonized within 60 s show capacitances of up to 5 F g⁻¹.
Solar thermal concentrated power is an emerging technology that provides clean electricity for the growing energy market. To the solar thermal concentrated power plant systems belong the parabolic trough, the Fresnel collector, the solar dish, and the central receiver system.
For high-concentration solar collector systems, optical and thermal analysis is essential. There exist a number of measurement techniques and systems for the optical and thermal characterization of the efficiency of solar thermal concentrated systems.
For each system, structure, components, and specific characteristics types are described. The chapter presents additionally an outline for the calculation of system performance and operation and maintenance topics. One main focus is set to the models of components and their construction details as well as different types on the market. In the later part of this article, different criteria for the choice of technology are analyzed in detail.
Concentrating solar power
(2022)
The focus of this chapter is the production of power and the use of the heat produced from concentrated solar thermal power (CSP) systems.
The chapter starts with the general theoretical principles of concentrating systems including the description of the concentration ratio, the energy and mass balance. The power conversion systems is the main part where solar-only operation and the increase in operational hours.
Solar-only operation include the use of steam turbines, gas turbines, organic Rankine cycles and solar dishes. The operational hours can be increased with hybridization and with storage.
Another important topic is the cogeneration where solar cooling, desalination and of heat usage is described.
Many examples of commercial CSP power plants as well as research facilities from the past as well as current installed and in operation are described in detail.
The chapter closes with economic and environmental aspects and with the future potential of the development of CSP around the world.
Kawasaki Heavy Industries, Ltd. (KHI), Aachen University of Applied Sciences, and B&B-AGEMA GmbH have investigated the potential of low NOx micro-mix (MMX) hydrogen combustion and its application to an industrial gas turbine combustor. Engine demonstration tests of a MMX combustor for the M1A-17 gas turbine with a co-generation system were conducted in the hydrogen-fueled power generation plant in Kobe City, Japan.
This paper presents the results of the commissioning test and the combined heat and power (CHP) supply demonstration. In the commissioning test, grid interconnection, loading tests and load cut-off tests were successfully conducted. All measurement results satisfied the Japanese environmental regulation values. Dust and soot as well as SOx were not detected. The NOx emissions were below 84 ppmv at 15 % O2. The noise level at the site boundary was below 60 dB. The vibration at the site boundary was below 45 dB.
During the combined heat and power supply demonstration, heat and power were supplied to neighboring public facilities with the MMX combustion technology and 100 % hydrogen fuel. The electric power output reached 1800 kW at which the NOx emissions were 72 ppmv at 15 % O2, and 60 %RH. Combustion instabilities were not observed. The gas turbine efficiency was improved by about 1 % compared to a non-premixed type combustor with water injection as NOx reduction method. During a total equivalent operation time of 1040 hours, all combustor parts, the M1A-17 gas turbine as such, and the co-generation system were without any issues.
With proven impact of statistical fracture analysis on fracture classifications, it is desirable to minimize the manual work and to maximize repeatability of this approach. We address this with an algorithm that reduces the manual effort to segmentation, fragment identification and reduction. The fracture edge detection and heat map generation are performed automatically. With the same input, the algorithm always delivers the same output. The tool transforms one intact template consecutively onto each fractured specimen by linear least square optimization, detects the fragment edges in the template and then superimposes them to generate a fracture probability heat map.
We hypothesized that the algorithm runs faster than the manual evaluation and with low (< 5 mm) deviation. We tested the hypothesis in 10 fractured proximal humeri and found that it performs with good accuracy (2.5 mm ± 2.4 mm averaged Euclidean distance) and speed (23 times faster). When applied to a distal humerus, a tibia plateau, and a scaphoid fracture, the run times were low (1–2 min), and the detected edges correct by visual judgement. In the geometrically complex acetabulum, at a run time of 78 min some outliers were considered acceptable. An automatically generated fracture probability heat map based on 50 proximal humerus fractures matches the areas of high risk of fracture reported in medical literature.
Such automation of the fracture analysis method is advantageous and could be extended to reduce the manual effort even further.
The development and operation of hybrid or purely electrically powered aircraft in regional air mobility is a significant challenge for the entire aviation sector. This technology is expected to lead to substantial advances in flight performance, energy efficiency, reliability, safety, noise reduction, and exhaust emissions. Nevertheless, any consumed energy results in heat or carbon dioxide emissions and limited electric energy storage capabilities suppress commercial use. Therefore, the significant challenges to achieving eco-efficient aviation are increased aircraft efficiency, the development of new energy storage technologies, and the optimization of flight operations. Two major approaches for higher eco-efficiency are identified: The first one, is to take horizontal and vertical atmospheric motion phenomena into account. Where, in particular, atmospheric waves hold exciting potential. The second one is the use of the regeneration ability of electric aircraft. The fusion of both strategies is expected to improve efficiency. The objective is to reduce energy consumption during flight while not neglecting commercial usability and convenient flight characteristics. Therefore, an optimized control problem based on a general aviation class aircraft has to be developed and validated by flight experiments. The formulated approach enables a development of detailed knowledge of the potential and limitations of optimizing flight missions, considering the capability of regeneration and atmospheric influences to increase efficiency and range.
Providing healthcare services frequently involves cognitively demanding tasks, including diagnoses and analyses as well as complex decisions about treatments and therapy. From a global perspective, ethically significant inequalities exist between regions where the expert knowledge required for these tasks is scarce or abundant. One possible strategy to diminish such inequalities and increase healthcare opportunities in expert-scarce settings is to provide healthcare solutions involving digital technologies that do not necessarily require the presence of a human expert, e.g., in the form of artificial intelligent decision-support systems (AI-DSS). Such algorithmic decision-making, however, is mostly developed in resource- and expert-abundant settings to support healthcare experts in their work. As a practical consequence, the normative standards and requirements for such algorithmic decision-making in healthcare require the technology to be at least as explainable as the decisions made by the experts themselves. The goal of providing healthcare in settings where resources and expertise are scarce might come with a normative pull to lower the normative standards of using digital technologies in order to provide at least some healthcare in the first place. We scrutinize this tendency to lower standards in particular settings from a normative perspective, distinguish between different types of absolute and relative, local and global standards of explainability, and conclude by defending an ambitious and practicable standard of local relative explainability.
An alternative method is presented to numerically compute interior elastic transmission eigenvalues for various domains in two dimensions. This is achieved by discretizing the resulting system of boundary integral equations in combination with a nonlinear eigenvalue solver. Numerical results are given to show that this new approach can provide better results than the finite element method when dealing with general domains.
Retinal vessels are similar to cerebral vessels in their structure and function. Moderately low oscillation frequencies of around 0.1 Hz have been reported as the driving force for paravascular drainage in gray matter in mice and are known as the frequencies of lymphatic vessels in humans. We aimed to elucidate whether retinal vessel oscillations are altered in Alzheimer's disease (AD) at the stage of dementia or mild cognitive impairment (MCI). Seventeen patients with mild-to-moderate dementia due to AD (ADD); 23 patients with MCI due to AD, and 18 cognitively healthy controls (HC) were examined using Dynamic Retinal Vessel Analyzer. Oscillatory temporal changes of retinal vessel diameters were evaluated using mathematical signal analysis. Especially at moderately low frequencies around 0.1 Hz, arterial oscillations in ADD and MCI significantly prevailed over HC oscillations and correlated with disease severity. The pronounced retinal arterial vasomotion at moderately low frequencies in the ADD and MCI groups would be compatible with the view of a compensatory upregulation of paravascular drainage in AD and strengthen the amyloid clearance hypothesis.
Lolium perenne (perennial ryegrass) is aproductive and high-quality forage grass indigenous to Southern Europe, temperate Asia, and North Africa. Nowadays it is widespread and the dominant grass species on green areas in temperate climates. This abundant source of biomass is suitable for the development of bioeconomic processes because of its high cellulose and water-soluble carbohydrate content. In this work, novel breeds of the perennial ryegrass are being examined with regards to their quality parameters and biotechnological utilization options within the context of bioeconomy. Three processing operations are presented. In the first process, the perennial ryegrass is pretreated by pressing or hydrothermal extraction to derive glucosevia subsequent enzymatic hydrolysis of cellulose. A yield of up to 82 % glucose was achieved when using the hydrothermal ex-traction as pretreatment. In a second process, the ryegrass is used to produce lactic acid in high concentrations. The influence of the growth conditions and the cutting time on the carboxylic acid yield is investigated. A yield of lactic acid of above 150 g kg⁻¹ dry matter was achieved. The third process is to use Lolium perenne as a substrate in the fermentation of K. marxianus for the microbial production of single-cell proteins. The perennial ryegrass is screw-pressed and the press juice is used as medium. When supplementing the press juice with yeast media components, a biomass concentration of up to 16 g L⁻¹ could be achieved.