Results 161 to 170 of about 314,374 (299)

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

Advanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu, Kexing Li, Yuge Wang, Hongyu Li, Hongyu Zhao   +4 more
wiley   +1 more source

Effects of Cerebellar tACS With Gamma Band on Basketball Shooting Skills: A Single-Blind, Randomized Controlled Trial in College Students With Basketball Experience. [PDF]

Brain Behav
Miyaguchi S, Inukai Y, Muroi M, Yamamoto S, Onishi H.   +4 more
europepmc   +1 more source

An Artificial Antibody‐Based Toolbox Accelerates Validation of Hidden Microproteins Encoded by the Dark Genome

Advanced Science, EarlyView.
Microproteins are hidden treasures encoded by the “dark proteome” but remain largely underexplored due to the lack of highly efficient tools. We developed a molecularly imprinted polymers (MIPs)‐based toolbox (CLAIMID) to achieve accelerated and ultrasensitive microproteins validation at multiple biological scales (single living cells, cell populations,
Hui He, Anqi Zhang, Zhanchen Guo, Qi Li, Song Gao, Wenyan Guan, Ying Li, Jingran Chen, Sijia Sun, Jian He, Zhen Liu   +10 more
wiley   +1 more source

Anti-loosening bolt looseness diagnosis method for flange node based on quick response code. [PDF]

Sci Rep
Luo J, Li K, Shi B, Chen S, Wu Y, Cheng L.   +5 more
europepmc   +1 more source

A Protein‐Centric Strategy Coupled with Match‐Between‐Run Glycoproteomics Enables Discovery of Robust Site‐Specific Glycan Biomarkers for Hepatocellular Carcinoma

Advanced Science, EarlyView.
In this study, a highly robust N‐glycoproteomics (HRN) platform with a newly developed match‐between‐run scheme is used for biomarker discovery. This study proposes a protein‐centric strategy to prioritize proteins susceptible to aberrant glycosylation.
Lei Liu, Taiheng Ma, Qi Liu, He Zhu, Zheng Fang, Jiahong Ma, Ting Yu, Yan Wang, Jiahua Zhou, Xiaoyan Liu, Yaqian Li, Zhimou Guo, Xinmiao Liang, Mingming Dong, Deguang Sun, Mingliang Ye   +15 more
wiley   +1 more source

Position prediction from performance and anthropometric indicators in young footballers: a machine learning approach. [PDF]

Sci Rep
Izhanov Z, Seisenbekov Y, Marchibayeva U, Yessirkepov Z, Bakhtiyarova S, Yermakhanov B, Ryskaliyev S, Kurtoğlu A, Aldhahi MI.   +8 more
europepmc   +1 more source

Single‐Cell Transcriptomics Reveals FLS2‐Dependent Hypoxia Signaling and ERF13‐Mediated Transcription During flg22‐Triggered Immunity

Advanced Science, EarlyView.
This study employs sc‐RNA sequencing, genetics, and phenotyping to systematically map the cell‐type‐specific immune responses triggered by flg22. It reveals FLS2‐dependent transcriptional reprogramming in epidermal and mesophyll cells, and uncovers crosstalk between immune and hypoxia signaling pathways.
Yaping Zhou, Aizhi Qin, Mengfan Li, Qianli Zhao, Luyao Kong, Lulu Yan, Chunyang Li, Hao Liu, Yinpeng Zhang, Jiani Long, Mengyu Liao, Mengmeng Zhou, Xiaoli Fan, Baozhen Wang, Wenxuan Kang, Shui Wang, Zhixin Liu, Xuwu Sun   +17 more
wiley   +1 more source

MSRRT-DETR: A high-precision apple detection method with strong cross-domain generalization capability in complex orchard scenes. [PDF]

PLoS One
Zhang X, Mamat S, Liu X, Liu J, Liu R, Wu G, Zhu P, Li H, Ma M, Liu X.   +9 more
europepmc   +1 more source

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

Advanced Science, EarlyView.
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel, Nikolas Ebert, Denis Abu Sammour, Sebastian Graf, Björn C. Fröhlich, Emrullah Birgin, Shad A. Mohammed, Nuh N. Rahbari, Axel Wellmann, Oliver Wasenmüller, Cleo‐Aron Weis, Stefan Schmidt, Carsten Hopf   +12 more
wiley   +1 more source