Results 111 to 120 of about 8,733 (249)

An Evaluation of Conventional and Progressive Discrete Trial Teaching when Teaching Receptive Labels

, 2019
This study evaluated the effectiveness and efficiency of conventional DTT and progressive DTT when teaching receptive labels to three children all diagnosed with autism spectrum disorder. The conventional DTT approach used a conventional approach, which
Wong, Elizabeth
core  

Video and Text‐Based Supplemental Health Information and Consumer Willingness to Pay for Nutrient‐Enhanced Eggs

Agribusiness, EarlyView.
ABSTRACT Nutritional information is very important in the food choices of consumers. However, when they are too scientific or technical, they have the potential to confuse consumers, resulting in information asymmetry and dissuading them from making beneficial choices.
Edeoba W. Edobor, Michael J. Best, Anita R. Best, Ondulla T. Toomer   +3 more
wiley   +1 more source

A comparative study of fluency training and discrete trial training on the acquisition, stimulus generalization, and retention of noun labels in children with autism

, 2008
Children with autism have unique characteristics that make it difficult for them to achieve important learning outcomes such as the application and retention of skills.
Roest, Erica R
core  

Is There a Market for Organic Milk in Serbia? Insights From Integrated Choice and Latent Variable Model

Agribusiness, EarlyView.
ABSTRACT Past growth in the global organic market has been concentrated in high‐income countries, while in middle‐income countries such as Serbia the organic market remains nascent and characterized by a sparse assortment of organic products, high retail premia and limited evidence on consumer preferences and their drivers.
Milan Tatic, Sanja Dzever, Bojan Matkovski, Danilo Djokic   +3 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

A Self-Instructional Package to Train New Staff to Conduct Discrete Trial Teaching

, 2018
A Self-instructional package replicating Graff & Karsten (2012) to train undergraduate university students with no previous experience in conducting preference assessments (PA) and its extension to discrete trial training (DTT) is evaluated and assessed ...
Al-Nasser, Thouraya
core  

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Enhancing Medical Education: The Role of Artificial Intelligence Tools in the Teaching-Learning Process. [PDF]

Adv Med Educ Pract
Kalhori Z, Bajoulvand R, Zahedian M, Malgard S, Aalaa M, Asadzandi S.   +5 more
europepmc   +1 more source