Results 131 to 140 of about 202,599 (290)

Bio‐templated Piezoresistive Yarn for High Sensitivity Movement Monitoring Textiles

Advanced Science, EarlyView.
This study developed a conductive coating by biotemplating silver nanoparticles (AgNPs) onto a Potato virus A (PV) particle network, cross‐linked on co‐polyamide‐starch (CoPA‐SS) coils. The combination of CoPA‐SS's shape memory and PV‐AgNP's piezoresistivity achieved high strain sensitivity and minimal hysteresis.
Swarnalok De, Viivi Mäkelä, Matteo Iannacchero, Maija Vaara, Fevzihan Basarir, Hossein Baniasadi, Sharon Saarinen, Jani Sainio, Kristiina Mäkinen, Mauri A. Kostiainen, Jaana Vapaavuori   +10 more
wiley   +1 more source

Activity of human hippocampal and amygdala neurons during retrieval of declarative memories [PDF]

, 2008
Episodic memories allow us to remember not only that we have seen an item before but also where and when we have seen it (context). Sometimes, we can confidently report that we have seen something (familiarity) but cannot recollect where or when it was ...
Mamelak, Adam N., Rutishauser, Ueli, Schuman, Erin M.   +2 more
core  

Analog Weight Update Rule in Ferroelectric Hafnia, Using picoJoule Programming Pulses

Advanced Electronic Materials, EarlyView.
Resistive, ferroelectric synaptic weights based on BEOL‐compatible hafnia/zirconia nanolaminates are fabricated. Lateral downscaling the devices below 10 µm2 enables 20 ns programming with electrical pulses, dissipating ≤ 3 pJ. Experimental results show that final conductance state is set by pulse amplitude, and is largely independent of the initial ...
Alexandre Baigol, Nikhil Garg, Matteo Mazza, Yanming Zhang, Elisa Zaccaria, Wooseok Choi, Bert Jan Offrein, Laura Bégon‐Lours   +7 more
wiley   +1 more source

Across the Boundary: The Formalization of the Interface Between Episodic Memory and Narrow Syntax Computation of Human Language

Biolinguistics
A growing number of studies indicate that the hippocampus plays an essential role in language processing as well as episodic memory. However, there is no consensus on how it is engaged in both domains and how it connects the two domains.
Edward Ruoyang Shi
doaj   +1 more source

Chronic Disease Monitoring Using Advanced Compliant Materials for Bioelectronics

Advanced Electronic Materials, EarlyView.
Compliant bioelectronic systems enable continuous monitoring of chronic disease through soft, stretchable materials and tissue‐conformal designs that support stable electrophysiological, mechanical, and biochemical sensing. Integration of diverse sensing modalities with thoughtful material selection, device architectures, and advanced fabrication ...
Han Kim, Mabel Bartlett, Liyang Wang, Karl Bates, Mengdi He, Myungbo Kim, Carmel Majidi, Tzahi Cohen‐Karni   +7 more
wiley   +1 more source

Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao, Simon Meister, Lucie Maruejols, Xiaohua Yu   +3 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Exercise Does Not Effect Context-dependent Episodic Memory [PDF]

, 2019
Memory has been shown to be strongly associated with the context in which it is encoded, suggesting that the context is central to the memory itself. However, the effect of exercise on context dependent object recognition is not fully known.
Greenberg, Michael D.
core   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source