Results 131 to 140 of about 133,461 (264)
Application of Artificial Intelligence in the Diagnosis, Prediction, and Management of Metabolic Syndrome: A Systematic Review. [PDF]
Esmailzadeh A +4 more
europepmc +1 more source
ABSTRACT There is a growing demand in the pharmaceutical industry to optimize analytical methodologies, reducing time and resource consumption while ensuring rapid process development and cost‐efficient manufacturing. Indeed, Food and Drug Administration (FDA) introduced the Process Analytical Technology (PAT) as an initiative enabling manufacturers to
Samuele Fiorenza +5 more
wiley +1 more source
Evaluating ensemble learning approaches for horizontal gene transfer detection. [PDF]
Wijaya AJ, Anžel A, Hattab G.
europepmc +1 more source
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi +3 more
wiley +1 more source
ABSTRACT As global environmental concerns intensify, firms are increasingly expected to embed environmental responsibility into their core strategies. However, uncertainty remains over whether eco‐friendly initiatives are economically rewarded, reflecting ambiguity in consumers' true environmental preferences.
Kimitaka Nishitani +6 more
wiley +1 more source
Prediction of Digestible and Metabolizable Energy in Swine Feed Using Machine Learning. [PDF]
Yu JW, Liu SH, Ye DX, Wu, Lin H, Lin Y.
europepmc +1 more source
ABSTRACT Social media platforms today have become essential for consumer‐brand interactions, with visual content playing a pivotal role in shaping engagement and brand perception. Although text‐based user‐generated content (UGC) has been widely studied, the potential of visual UGC, particularly in the travel, tourism and hospitality (TTH) sector ...
Chinchu Abraham +2 more
wiley +1 more source
Comparing the Performances of Support Vector Machines and Artificial Neural Networks for Predicting Coronary Artery Diseases: A Cross-Sectional Study. [PDF]
Shariatnia S +4 more
europepmc +1 more source
Shared differential metabolites identified across the three sample groups. (A) Venn diagram of differential metabolites between the two comparison groups; Based on the detected levels of these overlapping differential metabolites, (B) d‐Arabitol, (C) Triclosan, (D) Iloprost, (E) Tetracosanoic acid, and (F) Omeprazole sulfone. Box plots were constructed
Mengtao Qian +4 more
wiley +1 more source

