Results 131 to 140 of about 43,844 (258)

XGBoost (eXtreme Gradient Boosting) Can Predict Organisms Growing in Urine Culture from the Emergency Department. [PDF]

West J Emerg Med
Sheele JM, Campbell RL, Jones DD.
europepmc   +1 more source

Precision Nanomedicine for Traumatic Neural Injury: Functional Paradigms and Translational Frameworks

Advanced Science, EarlyView.
This review presents a pathology‐driven framework unifying nanomedicine across TBI, SCI, and PNI. Epidemiological evidence and comparative single‐cell transcriptomic reanalysis define shared pathological modules, injury‐specific effectors, and therapeutic bottlenecks. Six functional paradigms connect nanomaterial structure and biological fate to injury‐
Mouyuan Sun, Shuangyang Li, Zhixu He, Jingyi Xie, Yaxian Luo, Xuankai Fan, Jingyu Zhang, Luying Qin, Lianjie Peng, Tao Qiu, Tian Zhang, Huiming Wang, Mengfei Yu   +12 more
wiley   +1 more source

QSAR modelling of pesticide modes of toxic action across trophic levels via multi-label extreme gradient boosting. [PDF]

Pest Manag Sci
Mei S.
europepmc   +1 more source

CeO2‐Based Electrocatalysts for the Oxygen Evolution Reaction: Design, Dynamic Mechanisms, and Electrolyte Adaptability

Advanced Science, EarlyView.
This Review shows how cerium oxide helps water‐splitting catalysts work better and last longer. It explains how CeO2 tunes electronic structure, oxygen‐vacancy behavior, and surface reconstruction, while adapting to alkaline, acidic, and seawater conditions.
Zhen Cui, Ailing Song, Zirui Cui, Manman Duanmu, Zhipeng Ma, Hao Liu, Guangjie Shao, Xinyi Tan, Guoxiu Wang, Hao Tian   +9 more
wiley   +1 more source

A hybrid grey wolf optimized eXtreme gradient boosting-based machine learning model for hospital pharmaceutical demand forecasting. [PDF]

Sci Rep
Samniang W, Shah SMT, Tun YM, Munawar A, K C S.   +4 more
europepmc   +1 more source

Recent Advances in High‐Entropy Nanozymes: From Fabrication to Applications

Advanced Science, EarlyView.
To highlight key achievements and clarify the current landscape of high‐entropy nanozymes (HEAzymes), this review summarizes state‐of‐the‐art developments ranging from thermodynamically and kinetically controlled synthetic strategies; enzyme‐like catalytic types, catalytic characteristics, and underlying mechanisms; to their antioxidative, therapeutic,
Yongjian Ai, Weibo Zhang, Pengjie Wang, Wentao Xu, Huiyuan Guo, Hong‐bin Sun, Meng‐Qi He, Fazheng Ren, Qionglin Liang   +8 more
wiley   +1 more source

Development and evaluation of an effective solubility prediction model for pharmaceuticals in organic solvents using machine learning based on eXtreme Gradient Boosting. [PDF]

Sci Rep
Valavi M, Assareh M, Khoshsima A, Svärd M.   +3 more
europepmc   +1 more source

Enriched Soil Organic Carbon Underpins Long‐Term Stable Crop Productivity Across China's Croplands

Advanced Science, EarlyView.
Quantifying the nonlinear relationships and causal effects of soil organic carbon (SOC) on crop stability reveals specific critical thresholds and saturation points. This partitions the national SOC spectrum into three functional phases. Integrating these spatial delineations with high‐resolution maps of marginal gains pinpoints regions with the ...
Yuyang Huang, Yulin Shangguan, Zhongkui Luo, Peng Zhu, David Makowski, Zhenzhong Zeng, Qingxu Ma, Min Wei, Yuanyuan Du, Su Ye, Zhou Shi, Songchao Chen   +11 more
wiley   +1 more source

Predicting outcomes of nonsurgical retreatment with artificial intelligence: A multicenter retrospective study using logistic regression, random forest, and extreme gradient boosting. [PDF]

J Conserv Dent Endod
Muskan S, Sambandam TV, Solete P, Rossi-Fedele G, Spagnuolo G, Teja KV, Scolavino S, Armogida NG.   +7 more
europepmc   +1 more source

Pre‐Refinement Prediction of Dopant Site Occupancy in M‐Type Hexaferrites via Hierarchical and Uncertainty‐Aware Machine‐Learning

Advanced Science, EarlyView.
Refined data are extracted from CIF files to construct a hierarchical machine‐learning framework integrating sublattice classification, Fe‐site occupancy prediction, and reliability assessment. External validation yields 96% accuracy for sublattice classification and a macro mean absolute error of 0.0584 for Fe‐site prediction.
Dan Liu, Jianyu Ren, Ruoshui Liu, Yinong Yin, Jianfeng Xi, Xin Ming, Jiazheng Hao, Tongyun Zhao, Fengxia Hu, Baogen Shen   +9 more
wiley   +1 more source