Results 101 to 110 of about 8,781 (241)
Using wearable devices to analyze the everyday gait differences between runners and nonrunners
Through the analysis of wearable devices and machine learning, it is found for the first time that the gait of marathon runners is significantly different from that of ordinary people. This shows that long‐term long‐distance running training can optimize the walking mode or help reduce the risk of falling.
Liwen Kong +4 more
wiley +1 more source
Digital and Biomarker‐Based Monitoring for Schizophrenia‐Treatment Adherence
Monitoring technologies integrated with artificial intelligence can enable personalized care, improved adherence, and reduced relapses among psychotic patients. ABSTRACT Background Nonadherence to antipsychotics affects nearly half of patients with schizophrenia, leading to rehospitalization, suicidality, and reduced quality of life.
Samuel Inshutiyimana +5 more
wiley +1 more source
Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi +3 more
wiley +1 more source
Overview of major artificial intelligence applications in veterinary neurology, including neuroimaging, seizure prediction, gait and pain assessment, and prognostic modeling. The figure also highlights cross‐species technology transfer and key challenges, such as limited data, lack of standardization, and ethical concerns.
Kianoush Saberi +12 more
wiley +1 more source
Overview of fall‐detection approaches and technologies in geriatric care. ABSTRACT This systematic review provides a critical examination of fall detection (FD) technologies in geriatric care, analyzing both technological innovations and implementation challenges across diverse healthcare environments.
Hamid Ali +6 more
wiley +1 more source
Abstract Background Assessment of equine metabolic and locomotory responses to quantified levels of physical exercise is needed to support the creation of tailored protocols for optimal training adaptation. The locomotory response to exercise in horses is not fully understood.
Rhana Mackie Aarts +5 more
wiley +1 more source
Abstract Early adolescence is marked by intensified identity exploration, yet little research has examined how meanings of gender and ethnic‐racial identity are co‐constructed within family relationships during the pubertal transition. The present qualitative study investigated how mothers and daughters construct and negotiate meanings of gender ...
Rona Carter +4 more
wiley +1 more source
A piezoelectric microacoustic wave device exploiting topologically protected interface states with significantly higher dynamic compliance than Lamb or Rayleigh modes achieves record‐high out‐of‐plane particle velocities exceeding 51 m/s. These findings indicate that leveraging topological interface states can overcome key limitations of piezoelectric ...
Onurcan Kaya +12 more
wiley +1 more source
Soft Robotic Snake with Tunable Undulatory Gait for Efficient Underwater Locomotion
This study designs an underwater soft snake robot using 3D‐printed soft actuators, controlled by specific signals to generate sinusoidal undulation. Results show a positive correlation between speed and swing amplitude, with optimal performance at 2/3π phase offset, PLA tail, 1.2 voltage growth rate, and 6s undulation period achieving a maximum speed ...
Huichen Ma, Junjie Zhou, Raye Yeow
wiley +1 more source
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata +14 more
wiley +1 more source

