Results 161 to 170 of about 19,382 (262)

The Political Psychology Behind Consumer Decisions: The Complex Relationship Between Political Ideology and Political Consumerism

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Political consumerism (PC) refers to consumers boycotting or deliberately buying (“buycotting”) products or brands for political, moral, or ethical reasons. This paper presents three studies that consider the intricacies of the relationship between political ideology and political consumerism.
Lara J. Greening, David Young, Lee De‐Wit, Lucia A. Reisch   +3 more
wiley   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Voting intentions during the later stage of the COVID-19 pandemic: The roles of risk perception and performance evaluations in South Korea. [PDF]

PLoS One
Kim SY, Kim G, Park S, Kim C, Jang DH, Joe DH, Jang WM.   +6 more
europepmc   +1 more source

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza, Raja Muhammad Afzal, Felipe Gomes Camacho, Nader Mahinpey   +3 more
wiley   +1 more source

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

The Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan, Ryan Gosselin, Nicolas Abatzoglou   +2 more
wiley   +1 more source

Source camera attribution using a rule-based explainable convolutional neural network. [PDF]

Sci Rep
Nayerifard T, Amintoosi H, Ghaemi Bafghi A.   +2 more
europepmc   +1 more source

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source

The Platform Messaging Effect (PME): A quantification of how go-vote reminders on social media platforms can influence voting intentions. [PDF]

PLoS One
Epstein R, Newland A, Tang LY, Edmison A.   +3 more
europepmc   +1 more source

TutorBots im Chemieunterricht: Nutzung, Akzeptanz und Hürden aus Sicht von Lehrkräften

CHEMKON, EarlyView.
Der Einsatz von Künstlicher Intelligenz (KI) bietet großes Potenzial für einen adaptiven Naturwissenschaftsunterricht. In einer explorativen Studie wurde untersucht, wie Chemielehrkräfte zum Einsatz von TutorBots im Unterricht eingestellt sind. Dabei wurde sowohl die aktuelle Nutzungserfahrung im Bereich der Erstellung und Anwendung von TutorBots ...
Mathea Brückner, Christoph Thyssen, Johannes Huwer   +2 more
wiley   +1 more source

Systematic Evaluation of Data and Trial Fitness for Oncology Trial Emulation: Empirical Findings from the CARE Initiative

Clinical Pharmacology &Therapeutics, EarlyView.
The Coalition to Advance Real‐World Evidence through Randomized Controlled Trial Emulation (CARE) Initiative seeks to advance understanding of when real‐world data (RWD) can generate valid treatment effectiveness estimates by emulating completed oncology randomized controlled trials (RCTs).
Natalie Levy, Paige Sheridan, Ulka Campbell, David Lenis, Inish O'Doherty, Adina Estrin, Nileesa Gautam, Monica Iyer, Sarah McDonald, Andrew Belli, Gillis Carrigan, K. Arnold Chan, James Chen, Victoria Chia, Neil Dhopeshwarkar, Joy Eckert, Laura Fernandes, Joel Greshock, Rachele Hendricks‐Sturrup, Jenny Huang, XiaoLong Jiao, Sajan Khosla, Orsolya Lunacsek, Lynn McRoy, Yanina Natanzon, Osayi Ovbiosa, Nelson Pace, Simone Pinheiro, Megan Rees, Jennifer Rider, Mothaffar Fahed Rimawi, Travis Robinson, Carla Rodriguez‐Watson, Chithra Sangli, Khaled Sarsour, Sebastian Schneeweiss, Mark Shapiro, Mark Stewart, Aliki Taylor, C. K. Wang, Shirley Wang, Yiduo Zhang, Ann Madsen   +42 more
wiley   +1 more source