Results 31 to 40 of about 242,351 (314)

Trip-Related Fall Risk Prediction Based on Gait Pattern in Healthy Older Adults: A Machine-Learning Approach

open access: yesSensors, 2023
Trip perturbations are proposed to be a leading cause of falls in older adults. To prevent trip-falls, trip-related fall risk should be assessed and subsequent task-specific interventions improving recovery skills from forward balance loss should be ...
Shuaijie Wang   +2 more
doaj   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

open access: yesAdvanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao   +8 more
wiley   +1 more source

Thermo-mechanical behaviour of TRIP 1000 steel sheets subjected to low velocity perforation by conical projectiles at different temperatures [PDF]

open access: yes, 2010
This paper presents and analyzes the behaviour of TRIP 1000 steel sheets subjected to low velocity perforation by conical projectiles. The relevance of this material resides in the potential transformation of retained austenite to martensite during ...
Rodríguez-Martínez, José Antonio   +12 more
core   +1 more source

Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment

open access: yesAdvanced Materials Interfaces, EarlyView.
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley   +1 more source

Dataset on fatal road traffic crash attributes extracted via natural language processing of online media articles in IndiaMendeley Data

open access: yesData in Brief
Road traffic crashes are among the leading causes of death globally, resulting in substantial social and economic impacts. Online media is a key source of public information on road safety.
Ashutosh Ashutosh, Sai Chand
doaj   +1 more source

Automated Urban Travel Interpretation: A Bottom-up Approach for Trajectory Segmentation

open access: yesSensors, 2016
Understanding travel behavior is critical for an effective urban planning as well as for enabling various context-aware service provisions to support mobility as a service (MaaS).
Rahul Deb Das, Stephan Winter
doaj   +1 more source

Thickness‐Dependent Infrared Emissivity of Ultrathin Freestanding MoSiN Nanocomposite Membranes

open access: yesAdvanced Optical Materials, EarlyView.
ABSTRACT Metals and dielectrics show opposite trends in thickness‐dependent infrared emissivity: metallic films exhibit a rise in emissivity below a critical thickness, while dielectric films show a corresponding decline. For applications demanding both high emissivity and mechanical strength in membranes with nanoscale thickness, combining these ...
Reethu Sebastian   +3 more
wiley   +1 more source

TRIP Biovigilantie

open access: yes, 2020
Ontvangen, registreren, analyseren en rapporteren van ingezonden meldingen over reacties en incidenten bij de toepassing van humane weefsels en cellen, met als doel het verhogen van de patiëntveiligheid in Nederland ongewenste voorvallen en bijwerkingen ...
Stichting TRIP
core  

Discrepancies in media reporting of fatal road crashes and official data in India

open access: yesScientific Reports
Road traffic crashes pose a significant global public health challenge, influenced by media representations that shape public perceptions and policymaking.
Ashutosh Ashutosh, Sai Chand
doaj   +1 more source

Enhancing Slip, Trip, and Fall Prevention: Real-World Near-Fall Detection with Advanced Machine Learning Technique

open access: yesSensors
Slips, trips, and falls (STFs) are a major occupational hazard that contributes significantly to workplace injuries and the associated financial costs. The application of traditional fall detection techniques in the real world is limited because they are
Moritz Schneider   +3 more
doaj   +1 more source

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