Results 101 to 110 of about 446,882 (282)

Pretreatment and Valorization of Critical Materials from Lithium‐Ion Batteries Using Electrostatic and Magnetic Separation

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This study investigates how magnetic and electrostatic separation processes can be applied to coarsely shredded Li‐ion batteries to effectively recover high‐purity concentrates of shredded cathode electrode, shredded anode electrode, and shredded separator.
Hyeyeon Lee   +4 more
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

Fear of Falls and Related Factors in The Elderly Undergoing Dialysis Referred to Hospitals in Tehran 2021

open access: yesMajallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Qum, 2021
Background and Objectives: The elderly patients undergoing hemodialysis are at higher risk for falling and its critical outcomes compared with their healthy counterparts. Falls can lead to the individual becoming fearful of experiencing subsequent falls.
Mohammad Dehesh   +3 more
doaj  

Protective and Collision‐Sensitive Gel‐Skin: Visco‐Elastomeric Polyvinyl Chloride Gel Rapidly Detects Robot Collision by Breaking Electrical Charge Accumulation Stability

open access: yesAdvanced Intelligent Systems, EarlyView.
For safe human–robot collaboration (HRC), a protective and collision‐sensitive robot skin is proposed. The developed robot skin, named Gel‐Skin, is composed of polyvinyl chloride (PVC) gel, which is a functional material with impact absorption capability and tunable piezoresistive characteristics based on electrical charge‐accumulation.
Geonwoo Hwang   +4 more
wiley   +1 more source

Harnessing Deep Learning of Point Clouds for Morphology Mimicking of Universal 3D Shape‐Morphing Devices

open access: yesAdvanced Intelligent Systems, EarlyView.
Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang   +3 more
wiley   +1 more source

Identifying characteristics and outcomes that are associated with fall-related fatalities: multi-year retrospective summary of fall deaths in older adults from 2005–2012

open access: yesInjury Epidemiology, 2017
Background Fall-related deaths continue to be the leading cause of accidental deaths in the older adult (65+ year) population. However, many fall-related fatalities are unspecified and little is known about the fall characteristics and personal ...
Sara M. Deprey   +2 more
doaj   +1 more source

Skin‐Conformal Myography for Real‐Time Hand Tracking Using a Laser‐Induced Graphene Strain Sensor Array

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu   +2 more
wiley   +1 more source

Multi‐Distance Spatial‐Temporal Graph Neural Network for Anomaly Detection in Blockchain Transactions

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents a novel Multi‐Distance Spatial‐Temporal Graph Neural Network for detecting anomalies in blockchain transactions. The model combines multi‐distance graph convolutions with adaptive temporal modeling to capture complex patterns in anonymized cryptocurrency networks.
Shiyang Chen   +4 more
wiley   +1 more source

Fatores ambientais e risco de quedas em idosos: revisão sistemática

open access: yesRevista Brasileira de Geriatria e Gerontologia
A queda em idosos é resultado de uma interação complexa entre fatores intrínsecos e extrínsecos. Embora seja difícil separar esses fatores, estudos apontam que fatores de risco ambientais estão presentes em aproximadamente 40% das quedas.
Adriana Sarmento de Oliveira   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy