Results 181 to 190 of about 411,514 (294)

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

CBMR: Coordinate-based meta-regression for group and covariate inference. [PDF]

Imaging Neurosci (Camb)
Yu Y, Hill-Bowen LD, Riedel MC, Bottenhorn K, Laird AR, Nichols TE.   +5 more
europepmc   +1 more source

A Novel Co3O4@Co3(HITP)2‐Based Sensor for Low‐Temperatures H2S Detection: Fabrication, Performance, and Preliminary Exploration in Monitoring Pork Spoilage

Advanced Science, EarlyView.
Hybrid Co3O4@Co3(HITP)2‐based chemiresitor was constructed for hydrogen sulfide detection at low‐temperature, which presented excellent sensing performance at room and refrigerant temperature. A proof of concept was conducted by monitoring hydrogen sulfide released from pork spoilage at both temperature using a portable device with a smartphone ...
Yongjiao Sun, Rongrong He, Wuchao Tian, Bingliang Wang, Zhenting Zhao, Zihan Wei, Koichi Suematsu, Wendong Zhang, Kengo Shimanoe, Jie Hu   +9 more
wiley   +1 more source

Fast and Interpretable Machine Learning Modeling of Atmospheric Molecular Clusters. [PDF]

J Phys Chem A
Seppäläinen L, Kubečka J, Elm J, Puolamäki KR.   +3 more
europepmc   +1 more source

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

Advanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu, Ke Zhang, Zelei Miao, Gaoyi Yang, Yujing Huang, Ju‐Sheng Zheng   +5 more
wiley   +1 more source

An Automatic Modulation Recognition Method Based on the Multimodal Kernel Harmonic Feature Fusion Network. [PDF]

Sensors (Basel)
Zhang Q, Ji H, Li L.
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Riemannian diffusion kernel-smoothed continuous structural connectivity on cortical surface. [PDF]

Imaging Neurosci (Camb)
Wang L, Li D, Zhang Z.
europepmc   +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

Interface Engineering Suppresses Self‐Annealing in Electroplated Nanograined Copper for Low‐Temperature Copper‐to‐Copper Bonding

Advanced Science, EarlyView.
A (111)‐oriented nanotwinned copper substrate stabilizes the deposited nanograined copper and prevents self‐annealing by restricting grain boundary motion at the interface and promoting the formation of stacking faults within the nanograined copper. Its preserved nanostructure maintains bonding capability even after 30 days of storage, resulting in ...
Gangqiang Peng, Xinyi Dong, Binzhao Li, Chuan He, Cong Chen, Licheng Huang, Jian Liu, Yonghan Zhou, Qikai Li, Hao Gong, Yuechen Wang, Kaiyu Mu, Sheng‐Jye Cherng, Po‐Yen Yang, Yang Lu, Yong Yang, Shih‐Wei Hung, Shien‐Ping Feng   +17 more
wiley   +1 more source