Results 121 to 130 of about 1,900,450 (264)

Body odor disgust sensitivity predicts authoritarian attitudes”

, 2015
Disgust is a core emotion that is deemed to have evolved primary to prevent our contact with pathogens. Recent theories and evidence suggest that social disgust plays a role in socially conservative attitudes (e.g., opposing to gay marriage) and
JK, Gustafsson-Sendèn, T, Lindholm, Liuzza MT, Ekström, Olofsson, I, M   +8 more
core  

Standardized regression coefficients of disgust propensity and disgust sensitivity on convergent and discriminant measures.

, 2016
Standardized regression coefficients of disgust propensity and disgust sensitivity on convergent and discriminant measures.
Tsunehiko Tanaka (219660), Yuki Yamada (104430), Kazunori Iwasa (169818)   +2 more
core   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

The Behavioral Immune System in Gender Transition: A Prospective Analysis of Associations Between Sex Steroids and Disgust Sensitivity During GAHT

Endocrines
Background/Objectives: Experimental and observational studies suggest that sex steroids may modulate disease-avoidance mechanisms and disgust-related responses, but longitudinal evidence in transgender individuals undergoing gender-affirming hormone ...
Maria Carmela Zagari, Ettore D’Aleo, Paolo Soraci, Emanuela A. Greco, Antonino Raffa, Marco Leuzzi, Andrea Greco, Giuseppe Seminara, Antonio Aversa   +8 more
doaj   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Hypothesized model of how disgust propensity and disgust sensitivity may differentially promote the relationship between self-disgust and a negative body image.

, 2018
Hypothesized model of how disgust propensity and disgust sensitivity may differentially promote the relationship between self-disgust and a negative body image.
Paula von Spreckelsen (5341193), Elise C. Bennik (5341196), Klaske A. Glashouwer (3155307), Ineke Wessel (5341199), Peter J. de Jong (136860)   +4 more
core   +1 more source

A Soft Robotic Finger With Deep Learning‐Enhanced Tactile Sensing for Texture and Softness Recognition

Advanced Intelligent Systems, EarlyView.
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al, Arya Shabani, Nicos Hadjigeorgiou, James Fant‐Male   +3 more
wiley   +1 more source

Ugh! Don’t get sick: disgust sensitivity contributes to health anxiety

, 2023
Presented on September 23, 2023 at the Western Canadian Conference on Undergraduate Research in Psychology (CURP) held at UBC Okanagan in Kelowna, BC.Health anxiety (HA) refers to persistent fears about experiencing or developing severe illnesses. HA has
Byam, Layton, Styba-Nelson, Kevin
core  

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Crease‐Encoded Soft Origami Chambers: A Unified Design‐to‐Fabrication Framework for Low‐Pressure Pneumatic Joints

Advanced Intelligent Systems, EarlyView.
Origami turns a single silicone chamber into three different soft fluidic actuators. Crease angles alone decide whether it elongates, bends, or twists, and the fully folded chambers are cast monolithically in one day. Below 15 kPa, they reach 268% axial stretch, 72° bending, and 55° twist—no strain‐limiting layers, no rigid reinforcements, no vacuum ...
Alexia Le Gall, Mattia Franchi de’ Cavalieri, Gastone Ciuti, Arianna Menciassi, Matteo Cianchetti   +4 more
wiley   +1 more source