Refine
Year of publication
- 2022 (155) (remove)
Document type
- Article (peer-reviewed) (155) (remove)
Keywords
- Electrical impedance tomography (8)
- Exercise (5)
- COVID-19 (4)
- Cytotoxicity (4)
- Machine learning (4)
- Acute respiratory distress syndrome (3)
- Betulinic acid (3)
- Convolutional neural network (3)
- Deep learning (3)
- Körperliches Training (3)
- Mechanical ventilation (3)
- Meta-Analyse (3)
- Surgical tool classification (3)
- Acute respiratory failure (2)
- Amino acids (2)
- Attention modules (2)
- Betriebliche Gesundheitsförderung (2)
- Betulin (2)
- Bone mineral density (2)
- Bone screw (2)
- Convolutional neural network (CNN) (2)
- Donation after circulatory death (2)
- EIT (2)
- Education (2)
- Elastance (2)
- Ergonomie (2)
- Extracorporeal membrane oxygenation (2)
- Fischer glycosylation (2)
- Glycosides (2)
- Grinding (2)
- Heart transplantation (2)
- Human milk (2)
- Identification (2)
- Knochendichte (2)
- Laparoscopic videos (2)
- Lung perfusion (2)
- Machine perfusion (2)
- Medical education (2)
- Meta-analysis (2)
- Oxidative stress (2)
- Parameter identification (2)
- Parkinson’s disease (2)
- Pendelluft (2)
- Planetary health (2)
- Pulmonary function testing (2)
- Simulation (2)
- Smart screwdriver (2)
- Surface roughness (2)
- Ursolic acid (2)
- 1H NMR (1)
- 3D-reconstruction (1)
- ALD (1)
- ARDS (1)
- Abrasion (1)
- Absorption process (1)
- Acceptance (1)
- Acetylcholinesterase (1)
- Acute lung injury (1)
- Additive manufactured grinding tool (1)
- Address distribution (1)
- Adolescents (1)
- Adversarial attack (1)
- Algorithmic decision-making (1)
- Amides (1)
- Amoeba (1)
- Anatomy (1)
- Anti-biofilm coating (1)
- Antimicrobial coating (1)
- Arbeitsplatzbezogene Maßnahmen (1)
- Archaea (1)
- Archimedes' principle (1)
- Assay error (1)
- Assessment (1)
- Asynchrony (1)
- Athletes (1)
- Axial force (1)
- BMD (1)
- Back orthosis (1)
- Bacteria (1)
- Barkhausenrauschen (1)
- Behavior changes (1)
- Bibliometric analysis (1)
- Bioactive factors (1)
- Biocompatible (1)
- Biofilm ecology (1)
- Biomarkers (1)
- Biomechanics (1)
- Bisphosphonate (1)
- Bladder cancer (1)
- Blood donation (1)
- Blood lipids (1)
- Body mass index (1)
- Bromides (1)
- Built environment (1)
- Built environment microbiome (1)
- Butyrylcholinestase (1)
- Büroarbeitsplatz (1)
- CF30-PEEK (1)
- CO2 capturing (1)
- COVID-19 pneumonia (1)
- Carbasugars (1)
- Carbohydrate chemistry (1)
- Carbohydrates (1)
- Cardiac arrest (1)
- Cardiac surgery (1)
- Cardiopulmonary resuscitation (1)
- Cardiovascular risk (1)
- Catalytic depolymerization (1)
- Center of ventilation (1)
- Chemical transformation (1)
- Chip-breaking (1)
- Chitosan (1)
- Chronic back pain (1)
- Chronic obstructive pulmonary disease (COPD) (1)
- Chronicle mining (1)
- Civic engagement (1)
- Climatic parameters (1)
- Clinical evaluation system (1)
- Cluster analysis (1)
- Cobb angle (1)
- Collapse (1)
- Compliance (1)
- Coronary microvasculature (1)
- Coronavirus-COVID-19 (1)
- Critical EIT (1)
- Critical care (1)
- Critical ultrasound (1)
- Cross-cultural cooperation (1)
- Cryogenic machining (1)
- Cultural complexity (1)
- Custodiol-N (1)
- Cutting forces (1)
- Data processing (1)
- Decentralized architecture (1)
- Degradation (1)
- Delphi study (1)
- Density (1)
- Density gradient (1)
- Deutschland (1)
- Digital competence (1)
- Digital health intervention (1)
- Digital light processing (1)
- Digital technology (1)
- Digitalization (1)
- Direct 3D printed (1)
- Discriminative convolutional neural network (1)
- Donor motivation (1)
- Donor return (1)
- Donor satisfaction (1)
- Drug repurposing (1)
- Drug screening system (1)
- Ductile grinding (1)
- Dysbiosis (1)
- Early Parkinson’s disease (1)
- Ecology (1)
- Einflussfaktoren (1)
- Elasticity imaging techniques (1)
- Electric drive (1)
- Electric impedance tomography (1)
- Electrical bio-impedance (1)
- Electrical bioimpedance (1)
- Electrical impedance tomography (EIT) (1)
- Elektromyografie (1)
- Emergency department (1)
- Emergency medical technicians (1)
- Emergency medicine (1)
- Encapsulation (1)
- Endocrine (1)
- Endoscopy (1)
- Epidemiology (1)
- Exercise training (1)
- Extracorporeal cardiopulmonary resuscitation (1)
- FEM simulation (1)
- Fecal microbiota transplant (1)
- Ferromagnetische Werkstoffe (1)
- Flipped classroom (1)
- Flow reactor (1)
- Fluorescent probes (1)
- Footbath (1)
- Formula (1)
- Foundational engineering education (1)
- Fremdblut (1)
- Funktionsbasierte Testungen (1)
- GC-MS (1)
- GF30-PEEK (1)
- Gait analysis (1)
- Gear (1)
- Generalisability (1)
- Germany (1)
- Ginger (1)
- Glycemic modelling (1)
- Glycyrrhetinic acid (1)
- Glykolysis (1)
- Gramian angular field (1)
- Grindability (1)
- Grinding tool (1)
- Grinding tool wear (1)
- Groove (1)
- Guideline (1)
- Gynaecology (1)
- HF modeling (1)
- Harmonic analysis (1)
- Health care and ICT (1)
- Heart-lung-machine (1)
- Hepatic clearance (1)
- High flow nasal cannula (1)
- High-flow nasal cannula (1)
- Homecare networks (1)
- Hormone replacement therapy (1)
- Hormone therapy (1)
- Hormones (1)
- Hospital hemodialysis unit (1)
- Host plant influence (1)
- Hotspot (1)
- Human pose estimation (1)
- Human spine (1)
- Human-robot interaction (1)
- Humidification capacity (1)
- Hybrid Layers (1)
- Hydrotherapy (1)
- Hyperparameter optimization (1)
- Hysteresis loop analysis (1)
- Hysteresis loop model (1)
- Hysteretic lung mechanics (1)
- Hämofiltrationslösung (1)
- Härtemessung (1)
- ICT (1)
- IVGTT (1)
- Identification error (1)
- Imbalanced data (1)
- Indirect calorimetry (1)
- Industry 4.0 (1)
- Infrastructuring work (1)
- Innovation creation (1)
- Innovation management (1)
- Insertion speed (1)
- Insomnia (1)
- Inspiratory oxygen fraction (1)
- Insulin kinetics (1)
- Insulin modified (1)
- Intelligent video surveillance (1)
- Intensity (1)
- Intensity progression (1)
- Intensive care unit (1)
- Interprofessional competence (1)
- Interprofessional education (1)
- Interprofessional learning (1)
- Intestinal bacteria (1)
- Intubation (1)
- Inverted classroom (1)
- Iran (1)
- Kaiserschnittrate (1)
- Kinetics (1)
- Kitchen plastic bowl (1)
- Kitchen sponge (1)
- Knowledge-based system (1)
- Kongressbeitrag (1)
- Kreuzschmerz (1)
- Kynurenine (1)
- Kyphosis (1)
- LAM (1)
- LWS (1)
- Lactate (1)
- Lagerungsschäden (1)
- Laparoscopic video (1)
- Laparoscopy (1)
- Laser (1)
- Lateral flow assays (1)
- Least squares estimation (1)
- Lignin (1)
- Lipid peroxidation (1)
- Long-term unemployment (1)
- Lossless standby (1)
- Low back pain (1)
- Low-Trauma fracture (1)
- Lumbale Rückenschmerzen (1)
- Lung (1)
- Lung function (1)
- Lung protective ventilation (1)
- Lung ventilation (1)
- Lysosomotropism (1)
- Machine Learning (1)
- Major osteoporotic fractures (1)
- Manufacturing (1)
- Mask ventilation (1)
- Mass casualty incident (1)
- Material removal mechanism (1)
- Maximal voluntary ventilation (1)
- Metabolic (1)
- Metabolites (1)
- Metrics (1)
- Micro-grinding (1)
- Micro-milling (1)
- Microbial ecology (1)
- Microbiome (1)
- Microfluidic (1)
- Microfluidic long-term cell culture (1)
- Microplastic analysis (1)
- Microreactor (1)
- Microreactor (1)
- Microvascular dysfunction (1)
- Microwave (1)
- Migrant political participation (1)
- Migrant voting rights (1)
- Mixed reality (1)
- Model based (1)
- Monopolar coagulation (1)
- Motion analysis (1)
- Muscle (1)
- Muskelverspannung (1)
- Muskuloskelettale Gesundheit (1)
- NAT traversal (1)
- NMR spectroscopy (1)
- Neck pain (1)
- Neonatal model (1)
- Noise (1)
- Noise model (1)
- Non-citizen voting rights (1)
- Nonintubated thoracic surgery (1)
- Nonlinear systems (1)
- Numerical optimization (1)
- Nurse educator (1)
- Nursing education (1)
- Nutrition (1)
- Oleanic acid (1)
- Oleanolic acid (1)
- One-handed technique (1)
- Ontology reasoning (1)
- Optical depth estimation techniques (1)
- Osteoporosis (1)
- Osteoporotic fractures (1)
- Osteoporotische Hauptfraktur (1)
- Outlier data (1)
- Overall fractures (1)
- Overdistention (1)
- Oxy-combustion (1)
- Oxygen therapy (1)
- Oxygenation (1)
- P2P (1)
- PCOS (1)
- Palladium (1)
- Pandemic response (1)
- Parameter estimation (1)
- Parylene (1)
- Pasteurisation (1)
- Pasteurization (1)
- Pediatrics (1)
- Performance benefit (1)
- Pest management (1)
- Phenotypes (1)
- Physical activity (1)
- Physiologische Kochsalzlösung (1)
- Physiology (1)
- Physiotherapy education (1)
- Piezoelectric MEMS energy harvesting (1)
- Pilot (1)
- Platanic acid (1)
- Point-of-care diagnostics (1)
- Polyether ether ketone (1)
- Positive end expiratory pressure (1)
- Positive end-expiratory pressure (1)
- Post-combustion (1)
- Posterpräsentation (1)
- Postmenopausal women (1)
- Powertrain (1)
- Practical identifiability (1)
- Pre-combustion (1)
- Prediction (1)
- Predictive maintenance (1)
- Predictive quality analytics (1)
- Premature infan (1)
- Premature infant (1)
- Pressure control ventilation (1)
- Privacy protection (1)
- Problem-centered interviews (1)
- Production Line (1)
- Prone positioning (1)
- Protein (1)
- Protein degradation (1)
- Prävention (1)
- Pseudosugars (1)
- Public health (1)
- Pulmonary rehabilitation (PR) (1)
- Pulmonary ventilation distribution (1)
- Pyrolysis (1)
- Qualitätssicherung (1)
- Qualitätsverbesserung (1)
- Quantitative analysis (1)
- Quantitative image analysis (1)
- R Shiny application (1)
- RNA (1)
- ROX index (1)
- Rapid testing (1)
- Rasterstereography (1)
- Recruitment maneuver (1)
- Reference electrode (1)
- Regionale Unterschiede (1)
- Regions of interest (1)
- Reizintensität (1)
- Relational perspective (1)
- Relationality (1)
- Reproductive (1)
- Respiratory and circulatory management (1)
- Respiratory compliance (1)
- Respiratory dysfunction (1)
- Respiratory mechanics (1)
- Respiratory muscle training (1)
- Respiratory rate (1)
- Return to activity (1)
- Return to sport (1)
- Rhodamine B conjugates (1)
- Running (1)
- Running economy (1)
- Running shoes (1)
- Rural (1)
- SARS-CoV-2 (1)
- SaO2–SpO2 bias (1)
- Scherwellenelastografie (1)
- Schmerz (1)
- Scoliosis (1)
- Screw engagement (1)
- Self adaptive algorithm (1)
- Separation of respiration and perfusion (1)
- Sepsis (1)
- Shape (1)
- Shear wave elastography (1)
- Silicon nitride (1)
- Simulation modeling (1)
- Slot milling (1)
- Small molecules (1)
- Smart clothing (1)
- Smart video surveillance (1)
- Smartphone-based system (1)
- Smoking (1)
- Software engineering (1)
- SpO2 measurement noise (1)
- Spontaneous breathing (1)
- Stable isotope probing (1)
- State of lumbar muscle (1)
- Stem cell differentiation (1)
- Structure density (1)
- Student achievement (1)
- Study duration (1)
- Sub-zero cooling (1)
- Suicide prevention (1)
- Supercritical CO2 (1)
- Supply chain planning (1)
- Surface integrity (1)
- Surface topography (1)
- Surgical tool localisation (1)
- Surgical tool recognition (1)
- Survey (1)
- Sustainability (1)
- Sustainable ICT products and services (1)
- Synthesis (1)
- System dynamics (1)
- Systematic early dialog (1)
- Systematic review (1)
- Task complexity (1)
- Taxonomy development (1)
- Temperature (1)
- Temperature accuracy (1)
- Temperature-dependent tissue parameter (1)
- Test-strategy (1)
- Tetramethylammonium hydroxide (1)
- Thiols (1)
- Tiffeneau test (1)
- Tissue (1)
- Titanium alloy (1)
- Tool life (1)
- Traffic scenarios (1)
- Training frequency (1)
- Trainingsempfehlungen (1)
- Transcultural competence (1)
- Transformation (1)
- Transplant failure (1)
- Transplant medicine (1)
- Transurethral resection of bladder tumor (TURBT) (1)
- Triterpenoic acids (1)
- Trust (1)
- Turning (1)
- Two-handed technique (1)
- Type of exercise (1)
- UV-Crosslinker (1)
- Ultracentrifugation (1)
- Ultrasonic (1)
- Ultrasound (1)
- Venoarterial ECMO (1)
- Ventilation (1)
- Ventilation distribution (1)
- Ventilation–perfusion matching (1)
- Vertebral fracture (1)
- Virtual patient (1)
- Virus (1)
- Vision use cases (1)
- Visual impairment (1)
- Volume control ventilation (1)
- Wafer-level-integrated micromagnets (1)
- Wearables (1)
- Wheel loading ratio (1)
- Willow (1)
- Wireless sensor nodes WSN (1)
- Zeolite (1)
- Zero-power wakeup (1)
- Zingiber officinale (1)
- miRNAs (1)
- Übersichtsarbeit (1)
Background: Adolescence is a phase of higher vulnerability for suicidal behavior. In Germany, almost 500 adolescents and young adults aged 15-25 years commit suicide each year. Youths in rural areas are characterized by a higher likelihood of poorer mental health. In rural areas, appropriate support for adolescents and young adults in mental health crises is difficult to access. The general acceptability of digital communication in youths can make the provision of an eHealth tool a promising strategy.
Objective: The aim of this study was to explore the health needs regarding suicide prevention for adolescents and young adults in rural areas of Germany and Switzerland and to identify characteristics of suitable e-mental health interventions.
Methods: This study reports on a qualitative secondary analysis of archived data, which had been collected through formative participatory research. Using 32 semistructured interviews (individually or in groups of 2) with 13 adolescents and young adults (aged 18-25 years) and 23 experts from relevant fields, we applied a deductive-inductive methodological approach and used qualitative content analyses according to Kuckartz (2016).
Results: Experts as well as adolescents and young adults have reported health needs in digital suicide prevention. The health needs for rural adolescents and young adults in crises were characterized by several categories. First, the need for suicide prevention in general was highlighted. Additionally, the need for a peer concept and web-based suicide prevention were stressed. The factors influencing the acceptability of a peer-driven, web-based support were related to low-threshold access, lifelike intervention, anonymity, and trustworthiness.
Conclusions: The results suggest a need for suicide prevention services for adolescents and young adults in this rural setting. Peer-driven and web-based suicide prevention services may add an important element of support during crises. By establishing such a service, an improvement in mental health support and well-being could be enabled. These services should be developed with the participation of the target group, taking anonymity, trustworthiness, and low-threshold access into account.
Minority report: small-scale metagenomic analysis of the non-bacterial kitchen sponge microbiota
(2022)
Die komplexen Herausforderungen in der Gesundheitsversorgung erfordern die Zusammenarbeit verschiedener Berufsgruppen.
Den Grundstein dafür legen interprofessionelle Ausbildungsinhalte. Die erforderlichen Kompetenzen können durch unterschiedlichedidaktische Zugänge sowie Lehr- und Lernmethoden angebahnt werden. Das vorliegende narrative Review stellt die didaktische und methodische Realisierbarkeit interprofessioneller Ausbildungsinhalte zur Verbesserung der interprofessionellen Kompetenz in den Gesundheitsberufen dar. Ergänzend wird die Evaluation der Lehr- und Lernmethoden berücksichtigt. Der Artikel stellt die Ergebnisse vor und diskutiert diese vor dem Hintergrund bisheriger Erkenntnisse.
In the context of Industry 4.0, smart factories use advanced sensing and data analytic technologies to understand and monitor the manufacturing processes. To enhance production efficiency and reliability, statistical Artificial Intelligence (AI) technologies such as machine learning and data mining are used to detect and predict potential anomalies within manufacturing processes. However, due to the heterogeneous nature of industrial data, sometimes the knowledge extracted from industrial data is presented in a complex structure. This brings the semantic gap issue which stands for the lack of interoperability among different manufacturing systems. Furthermore, as the Cyber-Physical Systems (CPS) are becoming more knowledge-intensive, uniform knowledge representation of physical resources and real-time reasoning capabilities for analytic tasks are needed to automate the decision-making processes for these systems. These requirements highlight the potential of using symbolic AI for predictive maintenance.
To automate and facilitate predictive analytics in Industry 4.0, in this paper, we present a novel Knowledge-based System for Predictive Maintenance in Industry 4.0 (KSPMI). KSPMI is developed based on a novel hybrid approach that leverages both statistical and symbolic AI technologies. The hybrid approach involves using statistical AI technologies such as machine learning and chronicle mining (a special type of sequential pattern mining approach) to extract machine degradation models from industrial data. On the other hand, symbolic AI technologies, especially domain ontologies and logic rules, will use the extracted chronicle patterns to query and reason on system input data with rich domain and contextual knowledge. This hybrid approach uses Semantic Web Rule Language (SWRL) rules generated from chronicle patterns together with domain ontologies to perform ontology reasoning, which enables the automatic detection of machinery anomalies and the prediction of future events’ occurrence. KSPMI is evaluated and tested on both real-world and synthetic data sets.
Hydroxyethylamide substituted triterpenoic acids hold good cytotoxicity for human tumor cells
(2022)
Assessment of Neck Muscle Shear Modulus Normalization in Women with and without Chronic Neck Pain
(2022)