Results 161 to 170 of about 126,268 (270)

Prediction of bond strength and failure mode of FRP bars embedded in UHPC or UHPSSC utilising extreme gradient boosting technique

open access: yesComposite structures
Pei-Fu Zhang   +7 more
semanticscholar   +1 more source

The Bitter Taste of Brazil's Temporary Import Ban on Robusta Coffee

open access: yesAgribusiness, EarlyView.
ABSTRACT Brazil, a leading Robusta coffee producer and exporter, faced a significant drought in 2016–2017, which drastically reduced production and depleted stocks. Consequently, Brazil temporarily permitted the import of one million 60‐kg bags of Robusta coffee in the spring 2017. An import ban was imposed shortly afterward due to lobbying by domestic
Hanifi Otgun   +2 more
wiley   +1 more source

Can Machine Learning Reduce Unnecessary Surgeries? A Retrospective Analysis Using Threshold Optimization to Prevent Negative Appendectomies in Adults

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
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

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod   +10 more
wiley   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

SISTEM DETEKSI DIABETES DENGAN MENGGUNAKAN ALGORITMA EXTREME GRADIENT BOOSTING

open access: yes
Diabetes merupakan salah satu penyakit kronis yang dapat menyebabkan berbagai komplikasi serius apabila tidak terdeteksi dan ditangani dengan baik. Deteksi dini diabetes sangat penting untuk mengurangi risiko komplikasi jangka panjang.
kurnia, Anggriani   +2 more
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