Results 111 to 120 of about 9,284 (312)
Data on the relationship between traveller perceived value and traveller intention to revisit a destination. [PDF]
Chuchu T.
europepmc +1 more source
Evaluating the Effect of Weather on Tourist Revisit Intention using Natural Language Processing and Classification Techniques [PDF]
Evripides Christodoulou +3 more
openalex +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Abstract Children's relationship with time in preschools is an under‐researched area. Young children rarely know how to measure time using a clock, but their experiences of time may contribute to understanding children's well‐being and debates about quality in preschools.
Kristín Dýrfjörð +3 more
wiley +1 more source
This study seeks to examine the function of mindfulness in moderating the connection between happiness perception and perceived fairness regarding revisit intention among visitors at Tangkahan, Langkat.
Nikous Soter Sihombing +4 more
doaj +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
This work focuses on how to improve the selectivity and activity of electrocatalytic CO2 reduction to C3+ products, by the integration of electrocatalyst and electrolyte co‐design. We summarize key C3+ formation mechanisms and provide a comprehensive reaction network through thermodynamic analysis.
Ling Chen, Damien Voiry, Yan Jiao
wiley +2 more sources

