Results 91 to 100 of about 16,171 (243)
Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations
Advanced Electronic Materials, EarlyView.This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka +5 more
wiley +1 more source
Advancing Energy Materials by In Situ Atomic Scale Methods
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
ClinicoEconomics and Outcomes ResearchYazed Alruthia,1,2 Horiyah Alhajri,1 Omar A Almohammed,1 Bander Balkhi,1 Mai F Alsaqa’aby,2 Mohammed A Almuqbil,3– 5 Hana A Al-Abdulkarim,6 Abdulaali R Almutairi7 1Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi ...
Alruthia Y +7 more
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Intrinsic Mechanical Parameters and their Characterization in Solid‐State Lithium Batteries
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.This review focuses on the intrinsic mechanical parameters and their associated characterization in solid‐state batteries. The physical significance of mechanics parameters is introduced with exhaustive classifications by elastic, plastic deformations and fracture in bulk, adhesion, friction at interfaces, and mechanical fatigue in cells ...
Shuai Hao +5 more
wiley +1 more source
Advanced Energy Materials, EarlyView.Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Experts’ Opinion in Fabry Disease Management and the Unmet Medical Need: The Saudi Perspective
Therapeutics and Clinical Risk ManagementMajid Alfadhel,1– 3 Nouriya Al Sannaa,4 Rawda Sunbul,5 Huda Al-Khawaja,6 Sumayah Askandarani,7 Talal Alanzi,8 Mamoun Elawad,9 Konstantinos Fourtounas10 1Medical Genomics Research Department, King Abdullah International Medical Research Center, Ministry ...
Alfadhel M +7 more
doaj
The article is devoted to the issues of training, retraining, and advanced training of specialists in the system of internal affairs bodies during the reforms of New Uzbekistan. It examines the role of the modern education system in enhancing the professional potential of internal affairs officers, the legal and institutional foundations of educational
openaire +2 more sources
A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation
Advanced Energy Materials, EarlyView.Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou +34 more
wiley +1 more source
Infection and Drug ResistanceThamer A Almangour,1 Latifa S Almosabhi,2 Rahaf Almojel,1 Rawabi Althubaity,1 Sara Almuhisen,3 Abdullah Almohaizeie,4,5 Shuroug A Alowais,6– 8 Khalid Bin Saleh,6– 8 Nader Damfu,7,9,10 Sultan N Alotaibi,7,10,11 Namareq F Aldardeer,12 Haifa Alotaibi,4 ...
Almangour TA +19 more
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