Results 111 to 120 of about 130,371 (190)

The Age‐Dependent Resident Myonuclear Multi‐Omic Response to an Acute Skeletal Muscle Hypertrophic Stimulus in Mice

Advanced Science, EarlyView.
Resident myonuclei are the molecular “control centers” for large multinuclear muscle fibers. It is presumed that, with aging, these control centers become compromised and contribute to delayed or blunted muscle adaptive potential. This study is a detailed roadmap that exposes how young versus aged myonuclei respond to a hypertrophic loading stimulus ...
Pieter J. Koopmans, Ronald G. Jones III, Ana Regina Cabrera, Francielly Morena, Nicholas P. Greene, John J. McCarthy, Ahmed Ismaeel, Yuan Wen, Kevin A. Murach   +8 more
wiley   +1 more source

Does a Large-Ear Wheat Cultivar Benefit More from Elevated CO₂ than a Multiple-Ear Wheat for the Utilization of Non-Structural Carbohydrates? [PDF]

Plants (Basel)
Li Y, Yu H, Xia Y, Zhang Z, Wang Q, Sha B, Xue H.   +6 more
europepmc   +1 more source

A Fully Self‐Powered Digital Wearable System for the Auxiliary Treatment of Plantar Fasciitis

Advanced Science, EarlyView.
This study reports a system‐level fully self‐powered digital wearable system (FS‐DWS) for the auxiliary treatment of plantar fasciitis. By integrating arch support, energy harvesting, wearable sensing, and machine learning‐driven closed‐loop visualized feedback, the system enables effective plantar pressure reduction and self‐powered, real‐time plantar
Jiacheng Hou, Ying Hong, Shiyuan Liu, Qiqi Pan, Jingyu Zhang, Qingyang Xu, Qiyi Nie, Zhonghe Wang, Liming Xin, Yilong Wang, Biao Wang   +10 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

Advanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang, Yuxiang Yang, Baiqian Wang, Yaoyu Tao, Zelun Pan, Lei Cai, Teng Zhang, Longhao Yan, Xianbin Li, Yuchao Yang   +9 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Cluster‐Mediated Solute Stabilization and Shear‐Bypass Synergistic Strengthening in High‐Alloyed Systems

Advanced Science, EarlyView.
This study demonstrates that in high‐alloy systems, nanoclusters with high solute tolerance can effectively suppress compositional segregation. This mitigation leads to a concurrent 18.7% increase in strength and 41.5% improvement in ductility, which is attributed to a shear‐bypass synergistic strengthening mechanism. The findings provide a new pathway
Wei Yu, Yu Bai, Jiawen Li, Kaixi Jiang, Hai Hao, Tao Jiang, Shunan Zhang, Yong Li, Zhaodong Wang, Kai Zhao, Shiwei Li   +10 more
wiley   +1 more source

Optical response and electron energy loss spectra of boron arsenide using linear response theory. [PDF]

RSC Adv
Joshi N, Jangir S, Joshi KB.
europepmc   +1 more source

Forecasting Root Rot Disease through Predictive Microbial Functional Profiling

Advanced Science, EarlyView.
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You, Peng Ren, Ying Guan, Kai Gong, Zhen Hua, Wuxian Zhou, Xinlan Mei, Yikui Wang, Xiaofang Wang, Yangchun Xu, Qirong Shen, Zhong Wei   +11 more
wiley   +1 more source

Hybrid deep learning and optimized variational mode decomposition for point-interval runoff prediction. [PDF]

PLoS One
Ma H, Fadhil Marsani M, Mansor MA, Mohd Kasihmuddin MS.   +3 more
europepmc   +1 more source

Smart Optogenetics for Real‐Time Automated Control of Cardiac Electrical Activity

Advanced Science, EarlyView.
We are able to stop dangerous heart‐rhythm spirals before they fully form. Within about 100 ms, it pinpoints the spiral's tiny central tip (≈0.9 mm) using light‐based sensing and machine learning, then shines targeted light to shut it down. This fast, precise, closed‐loop approach detects, targets, and terminates arrhythmias in real time.
Shanliang Deng, Niels Harlaar, Juan Zhang, Sven O. Dekker, Nina N. Kudryashova, Huiling Zhou, Cindy I. Bart, TianYi Jin, Georgy Derevyanko, Willem van Driel, Alexander V. Panfilov, René H. Poelma, Antoine A. F. de Vries, GuoQi Zhang, Tim De Coster, Daniël A. Pijnappels   +15 more
wiley   +1 more source