Results 121 to 130 of about 852,410 (222)
In this randomized clinical trial conducted among 142 community‐dwelling older adults at high risk for falls over 12 months, a Dalcroze Eurhythmics exercise intervention (once weekly, group‐based) improved a variety of physical and cognitive/executive function outcomes compared with a multicomponent exercise intervention (twice weekly, group‐ and home ...
Mélany Hars+7 more
wiley +1 more source
Object is a neural networks in the field of computer vision and data analysis. The article explores the fundamental principles and aspects underlying the functioning of neural networks.
Р. Ковальчук+1 more
doaj +1 more source
The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez+8 more
wiley +1 more source
Current and Future Cornea Chip Models for Advancing Ophthalmic Research and Therapeutics
This review analyzes cornea chip technology as an innovative solution to corneal blindness and tissue scarcity. The examination encompasses recent developments in biomaterial design and fabrication methods replicating corneal architecture, highlighting applications in drug screening and disease modeling while addressing key challenges in mimicking ...
Minju Kim+3 more
wiley +1 more source
Design and development of opto-neural processors for simulation of neural networks trained in image detection for potential implementation in hybrid robotics [PDF]
Neural networks have been employed for a wide range of processing applications like image processing, motor control, object detection and many others. Living neural networks offer advantages of lower power consumption, faster processing, and biological realism.
arxiv
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 study presents an efficient simulation approach for the polymer laser powder bed fusion process polymers process, validated with polyamide 12, polyamide 6, and polyetherketoneketone. It shows that inter layer time affects part density, with 90s yielding dense parts.
Claas Bierwisch+4 more
wiley +1 more source
Estimating the Duration of Treatment and Hospitalization Costs Using Neural Network Approach
Background: Using neural networks and genetic algorithms in evaluating health-related variables has increased recently. Employing intelligent tools for diagnosis and treatment of diseases can reduce medical errors and human and financial losses.
Saeed Samadi+2 more
doaj
A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann+5 more
wiley +1 more source