Results 101 to 110 of about 6,591,789 (274)
ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley +1 more source
A Critical Assessment of Bonding Descriptors for Predicting Materials Properties
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik +6 more
wiley +1 more source
Emotion and political judgment: Expectancy violation and affective intelligence
Johnston, C. D., Lavine, H., & Woodson, B. (2015). Emotion and Political Judgment: Expectancy Violation and Affective Intelligence: Expectancy Violation and Affective Intelligence. Political Research Quarterly, 68(3), 474-492. https://doi.org/10.1177/
Christopher Johnston
core
Swearing is a frequent language form in a number of contexts, including the work setting. This investigation extends research on expectancy violations theory as an explanation for how people perceive swearing by examining violation valence.
Johnson, Danette Ifert
core
Physics‐Guided Modeling of Temperature‐Dependent Electrical Conductivity of Functional Oxides
This complete workflow presents an automated, data‐driven screening of functional oxides based on their predicted electrical conductivity. A curated dataset is fed into TriCondNet, a charge‐transport, physics‐guided neural network that classifies an input composition's conduction mechanism and then simulates its conductivity–temperature profile.
Elias Assaad +6 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Data supports findings of pre-test and main tests 1 and 2 reported in: When Virtual Influencers Cross Relational Boundaries: Expectancy Violation, Mind Perception, and Consumer ...
Karimkhan, Faren
core +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
This article presents a literature review on Symbolic Interactionism, Social Exchange, and Expectation Violation Theories and their relevance to the Psychological Contract. The review is part of a doctoral thesis on the socialization process and can be helpful to Human Resource Managers (HRM), scholars, and practitioners.
Aylmer, Roberto +1 more
openaire +2 more sources
Autonomous Charging and Battery Swapping for Unmanned Aerial Vehicles: A Review
This review evaluates major autonomous charging and battery swapping methods for unmanned aerial vehicles (UAVs) against a single question: how close each is to sustained unattended operation. Rather than ranking them by charging performance, it identifies the limitation that most restricts each method, and briefly outlines the supporting technologies ...
Zelin Wu +5 more
wiley +1 more source

