Results 181 to 190 of about 55,741 (307)

Developing a Naïve Bayes risk classification machine learning algorithm to predict high viral load in a low-resource setting. [PDF]

PLOS Glob Public Health
Gonah L, Murakwani T.
europepmc   +1 more source

Bilateral SERS‐Microneedle Patch for Co‐Diagnosis of Diabetes Mellitus and Tuberculosis Comorbidity

Advanced Science, EarlyView.
Our study introduced a U@mP@Au‐mediated bilateral SERS‐microneedle patch for analyzing glucose levels from ISF and sensitively detecting TB biomarkers from sputum, respectively. This integrated dual‐analyte detecting platform can be used for co‐diagnosis of diabetes mellitus (DM) and tuberculosis (TB) comorbidity, which was demonstrated in ex vivo ...
Xueqin Huang, Lingzhi Chen, Jing Xu, Jiaqi Yu, Shanze Chen, Huaihong Cai, Yanguang Cong, Pinghua Sun, Jiang Pi, Lang Rao, Jierong Chen, Junxia Zheng, Haibo Zhou   +12 more
wiley   +1 more source

Dual‐Substrate Synergistic Photocatalysis: Exogenous Reagent‐Free Co‐Removal of Phenol and Cr(VI) via Electron‐Donor‐Mediated Redox Coupling over Modified Carbon Nitride

Advanced Science, EarlyView.
An exogenous reagent‐free dual‐substrate strategy harnesses phenol as an intrinsic electron donor to drive synchronous phenol degradation and Cr(VI) reduction over modified carbon nitride. π–π stacking and hydrogen bonding direct electron transfer to the catalyst, enriching photogenerated electrons and accelerating Cr(VI) reduction 6.4‐fold. This waste‐
Xiaoman Zhang, Qiyu Wang, Xiaodan Liu, Shuqi Wan, Cuiwei Du, Qilu Li, Chongfei Yu, Shuying Dong, Xianfa Su, Chun Hu   +9 more
wiley   +1 more source

Reprogramming the Immune Landscape of Inflammatory Breast Cancer

Advanced Science, EarlyView.
Inflammatory breast cancer is the most lethal subtype of breast cancer and is characterized by an immunosuppressive tumor microenvironment (TME) driven by a complex network of immune cells and inflammatory cytokines, contributing to its aggressiveness and treatment challenges. Immune checkpoint inhibitors, either alone or in combination, show potential
Verena Martinez‐Rodriguez, Suguru Ogata, Xiaoping Wang, Naoto T. Ueno   +3 more
wiley   +1 more source

Frequentist and Bayesian Predictive Inference for the Log-Logistic Distribution Under Progressive Type-II Censoring. [PDF]

Entropy (Basel)
Zhang Z, Gui W.
europepmc   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

Advanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu, Xinran Qiu, Xing Li, Tianhuan Yang, Xuetao Guo, Hao Qiu, Peng Zhang   +6 more
wiley   +1 more source

Experiment-based calibration: Inference and decision-making. [PDF]

Behav Res Methods
Mancinelli F, Bach DR.
europepmc   +1 more source

Femtosecond‐Laser‐Induced Physical Unclonable Random Maze Structure for Storage‐Free Encryption

Advanced Science, EarlyView.
Femtosecond‐laser‐induced gold random maze structures serve as multimodal physical unclonable functions for storage‐free encryption. Their stochastic optical, electrical, and Raman responses are generated by plasmon‐assisted Marangoni formation and converted into AES‐compatible keys without permanent secret‐key storage, offering a portable route toward
Shiru Jiang, Hongliang Li, Shengjie Ma, Sang‐Shin Lee, Lei Wang, Mengyun Hu, Heping Zeng   +6 more
wiley   +1 more source

Null hypothesis significance testing vs. Bayesian inference using generalized linear mixed models with binary outcomes: a case study under practical design constraints. [PDF]

Front Psychol
Dalla Bona S, Spoto A, Caserotti M, Lotto L, Sarlo M, Cellini N, Cutini S, Bruno G.   +7 more
europepmc   +1 more source

The Spatiotemporal Genetic Architecture of Seed Vigor in Upland Cotton

Advanced Science, EarlyView.
Leveraging the semi‐automated SeedRanger platform, we profiled the germination kinetics of 356 cotton accessions at a 30‐min interval. This high‐throughput phenomic approach delineated a temporal genetic network comprising 541 stage‐specific loci. Crucially, functional validation identified FLA2 as a pivotal, auxin‐modulated regulator that orchestrates
Luyao Wang, Jie Dai, Ting Zhao, Shengjun Zhao, Hongyu Wu, Jiaying Pan, Yupeng Hao, Ke Nie, Li Yu, Yumeng Zhu, Xiangyi Zhao, Kai Huang, Mengke Zhang, Yongyan Zhao, Yaping Jiang, Siyuan Wang, Yiling Pan, Yubing Chen, Yilai Lin, Wanghong Shi, Yayuan Deng, Jin Han, Jie Li, Xuan Long, Junbin Wang, Zhiyuan Zhang, Zegang Han, Zhanfeng Si, Lei Ju, Jun Li, Tianzhen Zhang, Ji Zhou, Xueying Guan   +32 more
wiley   +1 more source