Machine Learning Models for Mortality Prediction in Intensive Care Unit Patients With Ischemic Stroke Associated With Intracranial Artery Stenosis: Retrospective Cohort Study. [PDF]
Zhang K +8 more
europepmc +1 more source
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males +8 more
wiley +1 more source
Application of machine learning models in pharmaceutical engineering for prediction of pharmaceuticals solubility in supercritical solvent: study on phenytoin solubility. [PDF]
Yu S, Chen Y, Qiang W.
europepmc +1 more source
Abstract Chemical‐looping gasification (CLG) offers a promising route for renewable biomass valorization, yet conventional oxygen carrier regeneration with O₂/H₂O is energy‐intensive and often produces low‐quality syngas. Here, we develop an inverse ZrO2/Co3O4 oxygen carrier that enables selective biochar oxidation and efficient lattice‐oxygen transfer
Junling Gao +9 more
wiley +1 more source
Integrated Metabolomic and Transcriptomic Analysis Reveals the Roles of Cutin, Suberin, and Flavonoid Metabolism in Apple Peel Deterioration Under Non-Bagging Cultivation. [PDF]
Wang G, Li H, Chen R, Han X, Xue X.
europepmc +1 more source
Flow characteristics and regime transitions in fluidization systems of Group C+ particles
Abstract Fine and ultrafine particles are attractive for fluidized bed reactors because their high surface area benefits catalytic processes, but their cohesive nature complicates regime characterization. Nanoparticle modulation improves the flowability of Group C powders, yet their bubbling to turbulent transition remains unclear.
Yue Song +3 more
wiley +1 more source
A sample model for applying feature selection and machine learning techniques to estimate and manage crayfish populations. [PDF]
Gültepe Y, Gültepe N.
europepmc +1 more source
Improved customer choice predictions using ensemble methods
In this paper various ensemble learning methods from machinelearning and statistics are considered and applied to the customerchoice modeling problem.
Potharst, R., Wezel, M.C. van
core
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Pre-harvest bagging modulates fruit traits, phytochemical profiles and disease incidence in mango (Mangifera indica L.) cv. Mallika. [PDF]
Kumari I +10 more
europepmc +1 more source

