Results 91 to 100 of about 168,451 (317)

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

Objective Gait Analysis Using a Single-Point Wearable Sensor to Assess Lumbar Spine Patients Pre- and Postoperatively

open access: yesSurgical Techniques Development
Background: Outcome measurement in lumbar surgery is traditionally performed using patient questionnaires that may be limited by subjectivity. Objective gait analysis may supplement patient assessment but must be clinically viable.
R Dineth Fonseka   +5 more
doaj   +1 more source

Direct Electron Detection Electron Energy‐Loss Spectroscopy: Speeding Up 2D Analytical In Situ Transmission Electron Microscopy for Aluminum Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
Scanning transmission electron microscopy imaging techniques are an essential tool to document dynamic developments, such as precipitation in aluminum alloys, during in situ heating experiments using transmission electron microscopy. However, in many cases, chemical information is required to interpret complex nanoscale processes.
Evelin Fisslthaler   +4 more
wiley   +1 more source

Accurate Estimation of Running Temporal Parameters Using Foot-Worn Inertial Sensors

open access: yesFrontiers in Physiology, 2018
The aim of this study was to assess the performance of different kinematic features measured by foot-worn inertial sensors for detecting running gait temporal events (e.g., initial contact, terminal contact) in order to estimate inner-stride phases ...
Mathieu Falbriard   +4 more
doaj   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

open access: yesAdvanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida   +16 more
wiley   +1 more source

Transducer Materials Mediated Deep Brain Stimulation in Neurological Disorders

open access: yesAdvanced Functional Materials, EarlyView.
This review discusses advanced transducer materials for improving deep brain stimulation (DBS) in neurological disorders. These materials respond to light, ultrasound, or magnetic fields, enabling precise, less invasive neuromodulation. Their stimulus‐responsive properties enhance neural control and adaptive therapy, paving the way for next‐generation ...
Di Zhao   +5 more
wiley   +1 more source

Contributions to variance in force-plate analysis of gait in dogs [PDF]

open access: diamond, 1993
Dermot J. Jevens   +4 more
openalex   +1 more source

A Twist in the Diagnosis: Chronic Arthropathy Without Inflammation

open access: yes
Arthritis Care &Research, EarlyView.
María Á. Puche‐Larrubia   +3 more
wiley   +1 more source

Additively Manufactured 3D Auxetic Metamaterials for Structurally Guided Capacitive and Resistive Tactile Sensing

open access: yesAdvanced Functional Materials, EarlyView.
A 3D‐architected auxetic metamaterial is used to construct capacitive and resistive tactile sensors via digital light processing‐based additive manufacturing. The inward deformation of the proposed structure under compression amplifies local strain, enhancing sensing performance.
Mingyu Kang   +3 more
wiley   +1 more source

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