Results 111 to 120 of about 6,048,088 (193)

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, Akito Tateyama, Hina Kitano, Takashi Nakanishi, Kazuya Terabe, Takashi Tsuchiya   +5 more
wiley   +1 more source

Prediction of elders′ general health based on positive and negative perfectionism and type-D personality

International Journal of Preventive Medicine, 2013
Background : Multiple factors such as retirement, work disability, social rejection, physical illness and etc., have an impact on general health of the elders. One factor among others is the role of psychological variables.
Reza Karaminia, Mohsen Ahmadi Tahour Soltani, Reza Bagherian-Sararoudi   +2 more
doaj  

Prescribing for People With a Personality Disorder

BJPsych Open
Aims The primary aim was to identify areas where there may be a significant gap in following the NICE recommendations. To compare how antipsychotic and benzodiazepine prescribing practice in Community mental health team, measures against the national ...
Arun Kuruppath, Anneke Muller, Alison Fergusson   +2 more
doaj   +1 more source

Simultaneous Electronic and Crystallographic Modulation of Cs3Bi2Br9 by Single‐Element Sn Substitution for Enhanced CO2 Photoreduction

Advanced Energy Materials, EarlyView.
Aliovalent B‐site substitution with Sn2+ in lead‐free perovskite, Cs3Bi2Br9, is employed to simultaneously induce lattice contraction and bromine vacancy through charge imbalance and ionic radius mismatch. The resulting structural distortion modulates the electronic structure and improves charge separation, leading to enhanced visible‐light‐driven CO2 ...
Justin Khor, Jiale Lee, Xin Ying Kong, Qixin Zhou, Yongfa Zhu, Jingxiang Low, Siang‐Piao Chai, Lling‐Lling Tan   +7 more
wiley   +1 more source

Multifunctional Matrix‐Activated Electrodes Enabling Efficient Proton Transport and Durable Low‐Pt Operation for High‐Temperature Proton Exchange Membrane Fuel Cells

Advanced Energy Materials, EarlyView.
This work introduces a CeHP‐enabled multifunctional matrix‐activated electrode (MME) for high‐temperature PEM fuel cells, forming an electrochemically and mechanically functional matrix within the catalyst layer. The design increases peak power density by 38% and reduces voltage decay by 62% at 240 °C, while using only 40% of the Pt loading of a ...
Gyeongseok Gwak, Sunjin Park, Joonbyum Kim, Hena Lee, Jihyeon Ok, Chae Young Lee, JunHwa Kwon, Jong Geun Seong, Sung Pil Yoon, Suk‐Woo Nam, Hansung Kim, Katie Heeyum Lim, So Young Lee   +12 more
wiley   +1 more source

Promoting Healthier Drinking: Evidence From a Vignette Experiment on Contextual and Informational Drivers of Dealcoholized Wine Choices

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Growing demand for healthier beverages is driving innovation in the wine sector, with dealcoholized wine emerging as a promising alternative. However, little is known about the contextual conditions under which consumers would choose dealcoholized wine, particularly in countries with strong wine traditions. To fill this gap, this work examines
Giovanna Piracci, Giulia Maesano, Leonardo Casini, Maurizio Canavari, Marija Cerjak   +4 more
wiley   +1 more source

pyDMS: A Python package for the determination of physics‐informed dual‐mode sorption (DMS) parameters

AIChE Journal, EarlyView.
Abstract Sorption in glassy polymer membranes is commonly modeled with the dual‐mode sorption (DMS) model. Fitting the DMS model to sorption isotherms presents challenges, as multiple parameter sets may prove satisfactory. This work presents pyDMS, an open‐source Python package for the computation of DMS parameters obtained via a physics‐informed ...
Brandon C. Tapia, Pablo A. Dean, Jing Ying Yeo, Albert X. Wu, Zachary P. Smith   +4 more
wiley   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Particle Swarm Optimization as a Noise‐Tolerant Strategy for High‐Entropy Alloy Research

Advanced Intelligent Discovery, EarlyView.
A customized particle swarm optimization algorithm is benchmarked against batch Bayesian optimization across four high‐entropy alloy oxygen‐reduction landscapes. While both methods locate the global optimum comparably under noise‐free conditions, Bayesian optimization’s surrogate model tends to overfit noisy data.
Ahmad Tirmidzi, Matthias Arenz, Vladislav A. Mints   +2 more
wiley   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source