Results 201 to 210 of about 75,020 (311)
Occupational Context Moderates the Association Between Agreeableness and Brain Structure
ABSTRACT Background Previous research on associations between personality traits and brain structure has yielded inconsistent findings, suggesting that such relationships may depend on contextual factors. Methods This study examined whether occupational context moderates the association between agreeableness and gray matter volume (GMV). Structural MRI
Keisuke Kokubun +2 more
wiley +1 more source
ABSTRACT Firms pursue the circular economy (CE) by using projects as organisational forms. However, the transformative role of project organising (PO) in developing circular firm capabilities (FC) remains underexplored. In this study, we examine the effects of PO on the development of critical circular FC in CE‐based firms. We draw on primary data from
Ambisisi Ambituuni +5 more
wiley +1 more source
ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley +1 more source
The Vehicle Rescheduling Problem
The capacitated vehicle routing problem is to find a routing schedule describing the order in which geographically dispersed customers are visited to satisfy demand by supplying goods stored at the depot, such that the traveling costs are minimized.
Dekker, R., Spliet, R., Gabor, A.F.
core
ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia +1 more
wiley +1 more source
Abstract Applying a single parameter set to describe complex mammalian kinetics often is too simplistic, as it fails to capture sensitive cell‐to‐environment interactions that may be exploited to optimize production performance. To resolve this time dependency, intra‐experimental parameter shifts as part of design of dynamic experiments (DoDE) can be ...
Samuel Kienzle +7 more
wiley +1 more source
ABSTRACT Some consumers exhibit aversion toward artificial intelligence (AI), particularly when it is embedded in persuasive marketing communication (MarCom). Here, we developed and validated a measure of consumer aversion to AI in MarCom and examined its downstream consequences for brand perceptions and purchase intention.
Louvins Pierre +2 more
wiley +1 more source
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao +6 more
wiley +1 more source
A Short‐Cut Design Approach to Evaluate Reboiler Designs in Vapor Recompression Scenarios
A short‐cut model framework that incorporates mechanical vapor recompression (MVR) requirements into reboiler design is presented, which is particularly beneficial during early process development with limited data or initial feasibility assessments.
Franziska Lais +2 more
wiley +1 more source
Optimization of 3D‐Printed Structured Packings—Current State and Future Developments
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

