Results 211 to 220 of about 156,445 (265)

Versatile DNA‐Functionalized Biohybrid Hydrogel Platforms for Electrothermally Activated On‐Demand Payload Release

Advanced Science, EarlyView.
A DNA‐functionalized biohybrid hydrogel is developed by integrating Cu‐mediated nucleic acid microflowers into a thermoresponsive matrix, enabling electrothermally triggered, on‐demand payload release. The platform offers spatiotemporally controllable therapeutic delivery with promising applications in precision oncology, neural regulation, and chronic
Mengqiu Sun, Zhenshuai Tang, Jia Zhang, Rui Song, Wei Luo, Juan Huang, Jincheng Zeng, Zhen He, Hao Zhang   +8 more
wiley   +1 more source

A multi-scale mathematical framework for modelling the dynamic nature of autism spectrum disorder symptoms: integrating predictive coding, information theory, and network principles. [PDF]

Front Psychiatry
Adamou M, Kehagias A, Antoniou G.
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

MHD heat and mass transfer of a ternary hybrid nanofluid over a rotating sphere. [PDF]

Discov Nano
Obalalu AM, Khan U, Fatunmbi EO, Khashi'ie NS, Bashatah JA.   +4 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

In Vivo Electrochemical Monitoring of Safinamide Pharmacokinetics in the Brain Explores Its Correlation With Vision‐Related Neuronal Activity

Advanced Science, EarlyView.
An electrochemical platform based on differential pulse amperometry enables real‐time, selective tracking of safinamide pharmacokinetics in the living brain with high spatiotemporal resolution. When integrated with electrophysiology, this approach reveals that drug‐induced suppression of vision‐related neuronal activity provides mechanistic insight ...
Xiaoke Nan, Chuqi Li, Qianhe Dai, Junlan Zhou, Lijiao Cao, Yuying Liu, Jinger Chen, Meiping Xiong, Yuhang Jiang, Xianchan Li   +9 more
wiley   +1 more source

A comprehensive CFD lifecycle dataset for marine vessel hydrodynamics. [PDF]

Sci Data
Wang S, Wang C, Wang J, Yu X, Xu Z, Li S, Zhang L, Guo Y, Ding J.   +8 more
europepmc   +1 more source

W‐N‐C Tandem Catalytic Centers Mediating Efficient Charge Transfer for the Enhanced Radical‐Path U(VI) Photoreduction

Advanced Science, EarlyView.
This work constructed a tandem W−N−C center to simultaneously achieve the regulation of reaction pathways and optimization of charge separation efficiency. The Lewis‐acidic W6+ sites activated O2 to generate O2−$O_2^ - $, with enhanced charge separation via electronic modulation, steering U(VI) reduction down an efficient radical pathway.
Zhiyao Wu, Jinhao Xu, Hao Fu, Yuxiang Deng, Nannan Wang, Wenhua Zhang, Peng Zhang, Zhiwei Huang, Zhenpeng Cui, Shu‐Xian Hu, Wangsuo Wu, Duoqiang Pan   +11 more
wiley   +1 more source

The Moderating Role of Intelligence and Prior Knowledge for the Effectiveness of a Computer-Based Mathematics Intervention in Students with Low Mathematics Performance. [PDF]

J Intell
Herzog M, Grosche M, Bruns G, Casale G.
europepmc   +1 more source

Hadamard Matrix Slicing Single‐Pixel Imaging: Establishing a Linear‐Array‐Inspired Paradigm for N‐fold Acceleration Single‐Pixel Imaging

Advanced Science, EarlyView.
To overcome two‐dimensional modulation bottlenecks, Hadamard Matrix Slicing Single‐Pixel Imaging (HMS‐SPI) establishes an efficient one‐dimensional imaging paradigm. By slicing the traditional Hadamard matrix into one‐dimensional encoding vectors and spatially expanding them, the required measurement patterns decrease by a factor of N.
Xiaoxue Li, Jieting Hou, Qizheng Zhao, Yiqi Jia, Xiang Zhong, Mengchao Ma, Huaxia Deng, Xinglong Gong, Ziwei Wang   +8 more
wiley   +1 more source