Results 51 to 60 of about 14,029 (231)

Diagnosis of fibromyalgia: diagnostic feasibility and accuracy of thermography

ABCS Health Sciences, 2022
Introduction: Studies have suggested using thermography as a resource to diagnose fibromyalgia, although there has been no evidence confirming this hypothesis so far.
Claudia Kumpel, Anselmo Cordeiro de Souza, José Sávio Ribeiro, Hildemar Minoru Shirata, Júlia de Oliveira, Cesário Bianchi Filho   +5 more
doaj   +1 more source

Volcano‐Inspired Dual‐Carbon Network Aerogel for High‐Performance Solar Evaporation With Edge‐Directed Salt Crystallization and Recovery

Advanced Science, EarlyView.
A volcano‐inspired dual‐carbon aerogel featuring hierarchical conduits and an outer carbon‐fiber shell directs rapid water transport, confines heat, and enables directional salt migration. Radial temperature gradients in the conical structure trigger Marangoni‐driven edge‐localized salt crystallization while maintaining an unobstructed photothermal ...
Shuyue Feng, Yongpeng Wang, Mengzhu Liu, Xin Wang, Tao Jia, Haibo Zhang, Haoyue Wu, Yuan Xu, Linghui Kong   +8 more
wiley   +1 more source

Flexible Thin‐Film Heater Composed of Laser‐Induced Graphene and Poly(D, L‐Lactic Acid) with Electro‐ and Photo‐Thermal Properties toward Cancer Thermotherapy

Advanced Electronic Materials, EarlyView.
This study introduces a thin‐film‐type heat‐generating device that uses laser induced graphene (LIG) on a poly(D, L‐lactic) acid film, which realizes both resistance heating by direct current application and photothermal conversion heating by near‐infrared light irradiation.
Masato Saito, Sota Harada, Ran Imai, Kon Son, Toshinori Fujie   +4 more
wiley   +1 more source

A Polymorphic Reconfigurable Multi‐Electrode Device Based on Electrically Bistable Nanostructured Metallic Films

Advanced Electronic Materials, EarlyView.
A polymorphic reconfigurable multi‐electrode device based on electrically bistable nanostructured metallic films. The adaptive reconfiguration properties of the nanostructured network under specific input voltages drive the reprogrammability of the device. This system can be employed for the implementation of polymorphic devices, which can be used both
Silvia Bressan, Luca Camillini, Francesca Borghi, Giovanni Galafassi, Paolo Milani   +4 more
wiley   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Clinical Effect Analysis of Spinal Cord Electrical Stimulator Implantation for Diabetic Foot

Neuromodulation: Technology at the Neural Interface, EarlyView., 2021
Abstract Objective To investigate the clinical effect of spinal cord electrical stimulator implantation in the treatment of diabetic foot (DF). Materials and Methods We recruited 19 patients with DF who were admitted to Shengjing Hospital of China Medical University between January 2018 and May 2020.
Peng‐Bo Zhou, Min Bao
wiley   +1 more source

Brief Review of Vibrothermography and Optical Thermography for Defect Quantification in CFRP Material

Sensors
Quantifying defects in carbon-fiber-reinforced polymer (CFRP) composites is crucial for ensuring quality control and structural integrity. Among non-destructive evaluation techniques, thermography has emerged as a promising solution for defect detection ...
Zulham Hidayat, Nicolas P. Avdelidis, Henrique Fernandes   +2 more
doaj   +1 more source

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

Advanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee, Jae Gyu Kim, Sung Jin Kim, Jae Yong Song, Byoung Don Kong   +4 more
wiley   +1 more source

Nanomaterial‐Mediated Near‐Infrared Photothermal Neuromodulation for Neurologic Disorders

Advanced NanoBiomed Research, EarlyView.
This review summarizes how near‐infrared light activates photothermal nanomaterials to enable noninvasive neuromodulation with high spatiotemporal precision. It elucidates the underlying mechanisms, explores targeted therapeutic applications for neurological disorders, discusses integration with optogenetics and biosensors, and addresses future ...
Ting‐Ting Zeng, Yu‐Ge Wang, Ya‐Bing Zhang, Yuan‐Xin Bai, Si‐Tong Lin, Ting‐Ting Zhu, Yan‐Bo Zhou, Wei‐Tong Pan, Pan‐Miao Liu, Jian‐Jun Yang   +9 more
wiley   +1 more source

Force stimulation promotes nerve regeneration by restoring cellular energy

BMEMat, EarlyView.
Mechanical stimulation can help nerves regenerate in various ways. We developed two devices (a piezo‐motor‐driven stretching device and a SAW‐based actuator) to apply mechanical stimulation to sciatic nerve and DRG neurons. Our study shows that appropriate mechanical force stimulation can promote regeneration by restoring the energy supply to the ...
Zhe Wang, Chen Cai, Hetao Xie, Yupeng Yang, Lei Li, Nik Ahmad Nizam Nik Malek, Wan Hairul Anuar Kamaruddin, Meiwan Chen, Yuanhua Sang, Bing Ji, Zenan Wang   +10 more
wiley   +1 more source