Results 171 to 180 of about 315,460 (265)

Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors

Advanced Science, EarlyView.
Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu, Fumiaki Iwane, Minsu Zhang, Leonardo G. Cohen, José del R. Millán   +4 more
wiley   +1 more source

Radiation‐Induced Tumor‐Intrinsic LTβR N‐Glycosylation Suppresses Pyroptosis Through TRIM28‐Mediated PCBP2 SUMOylation to Promote Gastric Cancer Radioresistance

Advanced Science, EarlyView.
Radiotherapy triggers LTβR N‐glycosylation, enhancing its overall protein stability and nuclear retention. This accumulation drives TRIM28‐mediated PCBP2 SUMOylation, suppressing pyroptosis and conferring gastric cancer radioresistance. Therapeutically, a targeted nanoplatform (cRGD‐Lipo@EMD) effectively disrupts this regulatory axis, offering a highly
Weijie Zang, Yunlong Ji, Chunwang Zhou, Xiwen Li, Zhuang Lu, Guangze Zhang, Yu Chen, Wanjiang Xue, Yilin Hu   +8 more
wiley   +1 more source

Country-specific estimates of misclassification rates of computer-coded verbal autopsy algorithms. [PDF]

BMJ Glob Health
Pramanik S, Wilson E, Kalter HD, Akelo V, Amouzou A, Black R, Blau D, Macicame I, Muir JA, Lee KH, Liu L, Whitney CG, Zeger S, Datta A.   +13 more
europepmc   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

Validity and applicability of machine learning models for systemic lupus erythematosus diagnosis. [PDF]

Lupus Sci Med
Li RC, Huang AF, Su LC, Wang DC, Xu WD.
europepmc   +1 more source

An Integrative Strategy Delineates Modular Metabolic Remodeling and Potential Therapeutic Targets Across Metabolic Diseases

Advanced Science, EarlyView.
An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang, Congxue Hu, Hang Zhao, Xiao Peng, Yiming Yan, Jiasi Wang, Wenqi Jiang, Depeng Mu, Yan Cao, Xia Li, Yunpeng Zhang   +10 more
wiley   +1 more source

Dimensional cophenetic integrity: a method for evaluation of dimensionality reduction in MSI. [PDF]

Bioinform Adv
Newstead CJ, Bunch J, Bailey MJ, Dexter A.   +3 more
europepmc   +1 more source

Single‐Cell Profiling Identifies SLC2A5‐Mediated Fructose Metabolism as a Vulnerability in Primary CNS Lymphoma

Advanced Science, EarlyView.
Glucose deprivation in the primary CNS lymphoma (PCNSL) tumor microenvironment drives SLC2A5 (encoding GLUT5)‐dependent fructose metabolism in tumor cells, while hypoxia induces HIF‐mediated SLC2A5 expression in tumor‐supportive macrophages, revealing SLC2A5‐driven fructose utilization as a shared and targetable metabolic vulnerability across malignant
Qiaoli Wu, Qianru Zhang, Wenqiang Yan, Lu Sun, Yiran Cui, Bolin Liu, Guoqing Han, Feng Zhang, Ke Pu, Mingchao Zhang, Xiaobing Zhang, Qingguo Li, Gang An, Yuxuan Liu   +13 more
wiley   +1 more source

Machine learning-based identification of inflammatory biomarkers for predicting pulmonary consolidation in children with Chlamydia pneumoniae infection. [PDF]

Front Pediatr
Dai Q, Wang Z, Zhao J, Wang Y, Li M, Maimaitiniyazi A, Wang X, Cui J, Guo Z, Qu S, Zhao W, Ru L.   +11 more
europepmc   +1 more source

Single‐Cell and Spatial Transcriptomics Unveil Key Regulators Governing Cell Differentiation for Schistosoma japonicum Sexual Development

Advanced Science, EarlyView.
Using single‐cell and spatial transcriptomics, we identified key regulators that govern cell differentiation involved in parasite development and egg laying in Schistosoma japonicum. This comprehensive study establishes a foundational resource for understanding schistosome biology, deciphers the regulatory programs underlying cell differentiation and ...
Zhigang Lu, Xiaoxu Wang, Shun Li, Xuxin Li, Pengfei Du, Yameng Zheng, Lu Liu, Yanyan Zhang, Omri Wurtzel, Guofeng Cheng   +9 more
wiley   +1 more source