Journal of Consumer Behaviour, EarlyView.ABSTRACT This study examines how social media influencers (SMIs) shape brand engagement and behavioral intention and when these effects vary across contexts. Drawing on 97 studies with a sample of 40,330 participants, we employ one‐stage meta‐analytic structural equation modeling (OSMASEM) to estimate the effects of SMI credibility (attractiveness ...
Tareq Rasul +6 more
wiley +1 more source
A Q-Learning-Based Hyper-Heuristic Genetic Algorithm for Optimizing Human-Robot Collaborative Assembly Lines. [PDF]
Biomimetics (Basel)Kulaç S.
europepmc +1 more source
Optimization of 3D‐Printed Structured Packings—Current State and Future Developments
Chemie Ingenieur Technik, EarlyView.This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke +3 more
wiley +1 more source
Synergistic optimization of thawing efficiency and water-holding capacity in chicken breast via magneto-electric coupling: A MISO-based predictive modeling approach. [PDF]
Curr Res Food SciXia Q, Yan S, Huang M, Chen K, Huang J.
europepmc +1 more source
Chemie Ingenieur Technik, EarlyView.This work explores generative AI for automated revision of Piping and Instrumentation Diagrams (P&IDs). We frame P&ID correction as a translation problem, converting attributed P&ID graphs into sequences and learning revisions with a transformer‐based model.
Lukas Schulze Balhorn +5 more
wiley +1 more source
From prior knowledge to data-informed models: a review of Boolean network inference. [PDF]
Brief BioinformKlemmer P +3 more
europepmc +1 more source
Vine copula knockoffs for variable selection in gene expression studies
Canadian Journal of Statistics, EarlyView.Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina +3 more
wiley +1 more source
Extreme conditional quantile estimation for time series
Canadian Journal of Statistics, EarlyView.Abstract We consider the estimation of an extreme conditional quantile QY(1−p|x0)$$ {Q}_Y\left(1-p|{x}_0\right) $$ for a heavy‐tailed distribution in the case of a strictly stationary time series (Xt,Yt)t∈ℤ$$ {\left({X}_t,{Y}_t\right)}_{t\in \mathbb{Z}} $$. Here, QY(·|x0)$$ {Q}_Y\left(\cdotp |{x}_0\right) $$ denotes the conditional quantile function of
Yuri Goegebeur +2 more
wiley +1 more source
Energy-aware priority-based task scheduling in cloud data centers using bacterial foraging optimization. [PDF]
Sci RepHosseinlou F +3 more
europepmc +1 more source
Shifting Tides: A Decade of Business Climate Adaptation and Resilience Research (2013–2023)
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Climate change is causing significant disruptions to the socio‐ecological systems in which organizations operate, presenting unprecedented challenges for businesses across sectors in adapting to shifting environmental conditions and building resilience to extreme weather events.
Domenico Villano +3 more
wiley +1 more source