Results 161 to 170 of about 561 (213)

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Hydride Materials for Advanced Electrochemical Energy Storage: Progress and Perspectives

EcoEnergy, EarlyView.
Hydrides are emerging as functional materials for low‐carbon electrochemical energy storage. Complex hydrides provide polyanionic electrolyte frameworks for all‐solid‐state, Li–S, and multivalent batteries; hydride ion conductors enable H− transport for emerging hydride‐based cells; and metal hydrides offer established electrode chemistries for Ni–MH ...
Taehyun Kim, Taegyoung Lee, Huijeong Oh, Shin‐ichi Orimo, Sangryun Kim   +4 more
wiley   +1 more source

High‐Performance UV Photodetectors Based on ZnO Hierarchical Nanostructures Grown on Aerosol‐Printed 3D Ag Mesh

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
First integration of ZnO nanorods with aerosol‐printed 3D Ag meshes for UV photodetector. 3D Ag/ZnO enhances light absorption and charge separation by providing a large active surface area for efficient charge generation and a strong UV response.
Elius Hossain, Jin‐Sol Lee, Md. Abu Mosa, Kye‐Si Kwon   +3 more
wiley   +1 more source

Generative Models in Inorganic Crystals Discovery and Inverse Design

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao   +5 more
wiley   +1 more source

A Review of Artificial Intelligence in Ophthalmology: Key Aspects, Challenges, and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly reshaping ophthalmology because the specialty depends heavily on structured imaging, quantitative measurements, and repeatable diagnostic workflows. This review provides a clinically grounded and translationally oriented synthesis of AI in ophthalmology, covering methodological foundations ...
Partha Pratim Ray
wiley   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

The International Classification of Cognitive Disorders in Epilepsy (IC‐CoDE) Portal: An open source resource for neuropsychological research in epilepsy

Epilepsia, EarlyView.
Abstract Objective The International Classification of Cognitive Disorders in Epilepsy (IC‐CoDE) is a consensus‐based, empirically‐driven approach to standardize cognitive phenotyping in epilepsy research that has quickly garnered interest within the epilepsy community. However, manually generating IC‐CoDE phenotypes in group data is laborious and time‐
Robyn M. Busch, Tobias Brünger, Kayela Arrotta, Lisa Ferguson, Julie K. Janecek, Sara J. Swanson, Anny Reyes, Brook Hurd, Mark St. John, Carrie R. McDonald, Bruce P. Hermann, Dennis Lal   +11 more
wiley   +1 more source

Real world testing and cost‐effectiveness analysis of subcutaneous EEG (REAL‐ASE): Protocol for a prospective multicentre interventional trial

Epilepsia Open, EarlyView.
Abstract Objective Epilepsy is a common condition associated with significant morbidity, mortality, and costs. Poor documentation of seizures is a major challenge in epilepsy care. Objective seizure counting with mobile devices may mitigate this challenge and improve patient management.
Matthew McWilliam, Pedro F. Viana, Eren Dursun, Joe Davies, Joel S. Winston, Jessica Agren, Harutomo Hasegawa, Jonas Duun‐Henriksen, Mark P. Richardson   +8 more
wiley   +1 more source

Energy‐Based Characterisation of Earthquake Damage in Masonry Infills Through Combined In‐Plane and Out‐of‐Plane Experimental Tests

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The seismic capacity of structural systems/members is usually defined in terms of deformation thresholds. Although this is effective in many circumstances, disregarding cumulative quantities such as hysteretic energy may be ineffective when low‐cycle fatigue is relevant (e.g., long‐duration ground motions, very soft soils, ground‐motion ...
Roberto Gentile, Giulia Angelucci, Jingren Wu, Marilisa Di Benedetto, Riccardo Milanesi, Giulio Augusto Tropea, Fabrizio Mollaioli, Fatemeh Jalayer, Fabio Freddi, Fabio Di Trapani, Paolo Morandi, Gerard J. O'Reilly   +11 more
wiley   +1 more source

Flow Characteristics and Response Surface Methodology‐Based Pressure‐Loss Prediction Models for the Reverse Circulation Converter in Double‐Wall Drill Pipes

Energy Science &Engineering, EarlyView.
Flow characteristics and pressure loss mechanisms of a reverse circulation converter in dual‐wall drill pipes are systematically investigated using CFD and response surface methodology. The results reveal the dominant role of inertial dissipation and provide a predictive framework for optimizing converter design and operational parameters. ABSTRACT The
Mingming Geng, Hui Zhang, Junpeng Li, Baokang Wu, Geng Zhang, Xinrui Wang, Jintao An, Long Chen, Yiming Ma   +8 more
wiley   +1 more source