Results 111 to 120 of about 552,020 (340)
Differential resistance to extinction as a function of fixed-interval contrast in training [PDF]
Melvin H. Marx, David W. Witter
openalex +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
The purpose of the present study was to investigate the effect of endurance (ET), resistance (RT) and concurrent training (CT) on plasma levels of visfatin, insulin, glucose and insulin resistance of non-athlete men with Obesity.
Seyed Morteza Tayebi+2 more
doaj
Resisting Large Data Variations via Introspective Transformation Network [PDF]
Training deep networks that generalize to a wide range of variations in test data is essential to building accurate and robust image classifiers. One standard strategy is to apply data augmentation to synthetically enlarge the training set. However, data augmentation is essentially a brute-force method which generates uniform samples from some pre ...
arxiv
This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong+11 more
wiley +1 more source
Background and Objective: Adiponectin is one of the adiposaitocines which secret from adipose tissue and is very effective in the pathogenesis of obesity and its associated disorders, especially in elderly people who are at risk for cardiovascular ...
Mir E+3 more
doaj
Blocking and partial reinforcement: Effects of N-R transitions early vs. late in training on resistance to extinction [PDF]
Steven J. Haggbloom
openalex +1 more source
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi+4 more
wiley +1 more source
Mirror: Multimodal Cognitive Reframing Therapy for Rolling with Resistance [PDF]
Recent studies have explored the use of large language models (LLMs) in psychotherapy; however, text-based cognitive behavioral therapy (CBT) models often struggle with client resistance, which can weaken therapeutic alliance. To address this, we propose a multimodal approach that incorporates nonverbal cues, allowing the AI therapist to better align ...
arxiv
The fabrication and post‐treatment via solvent annealing of poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate‐based electrodes using spray deposition in a roll‐to‐roll setup are presented. The decrease in sheet resistance and its correlation with nanostructure and molecular structure in the electrodes as a function of the processing parameters is ...
Marie Betker+10 more
wiley +1 more source