Results 191 to 200 of about 128,009 (300)
ABSTRACT Since the final decade of the 20th century, Latin American countries have increasingly regarded the signing of regional trade agreements (RTAs) as a promising strategy for expanding their exports. Within this context, the main objective of this study is to assess the impact of RTAs on agri‐food exports in Latin America over the period 1990 ...
María‐Isabel Ayuda +2 more
wiley +1 more source
Semi-parametric empirical bayes method for multiplet detection in snATAC-seq with probabilistic multi-omic integration. [PDF]
Wu Y +5 more
europepmc +1 more source
ABSTRACT Strategic positioning becomes increasingly important as markets mature, particularly in consumer‐facing industries that offer similar products, experiential cues, and values‐based messages. This study offers a conceptual model to examine the strategic positioning factors that motivate consumers to visit one local business over another before ...
Aaron J. Staples +2 more
wiley +1 more source
MiR‐146a‐5p is downregulated in colorectal polyps, leading to IRAK1 upregulation and NF‐κB activation, which promotes M1 macrophage polarization and inflammation. Overexpression of miR‐146a‐5p suppresses IRAK1/NF‐κB signaling, reduces M1 polarization, and alleviates inflammatory responses.
Peng Song +6 more
wiley +1 more source
Enhancing internet of things intrusion detection through high-performance boosting ensemble learning. [PDF]
Yakovyna V, Fadieiev A.
europepmc +1 more source
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
An Eye-Tracking and Forecasting Experiment on Consumer Purchasing Decisions Through Product Reviews. [PDF]
Sarac SB +4 more
europepmc +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
The real-world safety evaluation of the selective NaV1.8 inhibitor suzetrigine: disproportionality analysis and flexible empirical bayes signals from FAERS with external triangulation. [PDF]
Lai K +6 more
europepmc +1 more source
Simultaneous inferences based on empirical Bayes methods and false discovery rates ineQTL data analysis. [PDF]
Chakraborty A +5 more
europepmc +1 more source

