Results 181 to 190 of about 59,115 (260)

Coupled Vacancy and Phonon‐Scattering Engineering Drive Defect Evolution Toward Multifunctional High‐Performance Bi2Te3 Thermoelectrics

Advanced Science, EarlyView.
ZnSb reduces carrier concentration and suppresses Te volatilization, while Se substitution within QLs softens phonons and enhances anharmonicity. Swapped bilayers near twin boundaries strengthen phonon scattering and interlayer bonding. As a result, the optimal sample achieves an ultra‐high zT ∼1.51, cooling temperature difference of ∼70 K, power ...
Ruiheng Li, Minwen Yang, Huangshui Ma, Jie Zheng, Shengqiang Cui, Xiaobo Tan, Xuri Rao, Xiang An, Zongxiang Kan, Siqi Huo, Jing Shuai, Min Hong, Ran Ang   +12 more
wiley   +1 more source

Cyber-Downtime and Nursing Practice: Implications of Europe's Network and Information Security (NIS2) Directive for Specialist Nursing Education. [PDF]

Cureus
Fumai G, La Grotta V.
europepmc   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source

An explainable Grey Wolf optimized extreme learning machine framework for modulation classification in cloud environment. [PDF]

Sci Rep
Sahu PC, Prasad B, Dash R, Muduli D, DasMahapatra S, Mishra S, Parija S.   +6 more
europepmc   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

Investigating the impacts of urban agglomeration spatial structures on carbon emissions based on spatial networks of cities. [PDF]

Sci Rep
Tan G, Zhang X, Wang H, Xiong S, Sun Z, Lei Y, Du S.   +6 more
europepmc   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

A cost effective real time rail track monitoring system leveraging multi sensor fusion and multi objective optimization. [PDF]

Sci Rep
Salim SI, Quaium A, Kamal U, Rahaman M, Hossain M, Sakib NH, Toha TR, Alim Al Islam ABM.   +7 more
europepmc   +1 more source

A Piezo‐Mimetic Ionic Hydrogel Harnessing Joint Motion for Cartilage Repair

Advanced Science, EarlyView.
A piezo‐mimetic ionic hydrogel converts mechanical deformation into bioactive ionic currents via stress‐induced asymmetric ion migration. Coupled with sustained Mg2+ release, this mechano‐electrochemical platform bridges mechanical loading and cellular signaling, enabling load‐adaptive stimulation and enhanced cartilage regeneration. ABSTRACT Articular
Chenyuan Gao, Xinyu Wang, Zhifeng Wu, Xinya Zhang, Xiao Geng, Ti Zhang, Yue Wang, Hongwei Xia, Jun Zhang, Xianbo Qiu, Cuiru Sun, Yingjie Yu, Wenli Dai, Hua Tian, Qing Cai   +14 more
wiley   +1 more source

Expert Knowledge-Infused Learning for Indoor Radio Propagation Environment Digital Twins. [PDF]

Sensors (Basel)
Wang H, Xu L, Zhang Y, Peng T, Wang W.
europepmc   +1 more source