Results 231 to 240 of about 832,071 (345)

Not All Agreements Are Equal: Heterogeneous Effects of RTAs on Latin American Agri‐Food Exports, 1990–2019

Agribusiness, EarlyView.
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, Ignacio Belloc, Vicente Pinilla   +2 more
wiley   +1 more source

Two-staged CT-based radiomics model in characterising early-stage ovarian carcinoma and benign ovarian masses. [PDF]

J Ovarian Res
Zhang J, Singh R, Wong EMF, Han L, Ho G, Chiu WHK, Cho IMK, Ip PPC, Lee EYP.   +8 more
europepmc   +1 more source

Quantifying Consumer Tradeoffs Across Firm‐Level Strategic Positioning Dimensions: Evidence from US Craft Beer Consumers

Agribusiness, EarlyView.
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, Trey Malone, J. Robert Sirrine   +2 more
wiley   +1 more source

Asymptotic theory of in-context learning by linear attention. [PDF]

Proc Natl Acad Sci U S A
Lu YM, Letey M, Zavatone-Veth JA, Maiti A, Pehlevan C.   +4 more
europepmc   +1 more source

MiR‐146a‐5p Suppresses M1 Polarization of Tumor‐Associated Macrophages via IRAK1/NF‐κB Signaling in Colorectal Polyps

Annals of Gastroenterological Surgery, EarlyView.
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, Lianhui Wu, Huabin Qiu, Lei Luo, Jianzhao Qiu, Shuping Xiao, Jincai He   +6 more
wiley   +1 more source

Bayesian doubly robust estimation of causal effects for clustered observational data. [PDF]

J Appl Stat
Zhou Q, He H, Zhao J, Song JJ.
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
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, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Efficient hyperparameter estimation in Bayesian inverse problems using sample average approximation. [PDF]

Philos Trans A Math Phys Eng Sci
Chung J, Miller SM, Sabate Landman M, Saibaba AK.   +3 more
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
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, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Reliability, bias, and computational cost of estimating the Bayes factor using bridge sampling and the Savage-Dickey density ratio. [PDF]

Behav Res Methods
Oberauer K, Musfeld P, Aust F.
europepmc   +1 more source