Results 71 to 80 of about 830,288 (320)
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
IntroductionMaintaining cognitive performance in extreme operational environments is essential for military personnel efficiency. Exposure to multiple stressors, including sleep deprivation, intense physical exertion, and limited access to food resources,
Rodica Siminiuc, Dinu Turcanu
doaj +1 more source
Designing Activities for Community Resilience: Case Studies of "Kamado Project" and "Back to Japan" [PDF]
Resilience is a particularly important factor of strength in communities especially after the 3.11 earthquake in Japan. The author is working on two resilience-building projects; "Kamado Project" and "back to japan." Kamado is a traditional Japanese oven
HARA Tad
core +1 more source
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec +6 more
wiley +1 more source
Background: Schools, as social infrastructure and an integral part of society, play an essential role in creating the resilience of the community to natural disasters.
Samaneh Mirzaei +3 more
doaj
Neurobiological Changes Induced by Mindfulness and Meditation: A Systematic Review
Background and Objectives: Meditation and mindfulness, rooted in ancient traditions, enhance mental well-being by cultivating awareness and emotional control.
Andrea Calderone +6 more
doaj +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
Training on Establishing Climate-Smart Villages (CSVs) in Myanmar to Improve Food Security and Resilience in Agriculture [PDF]
This training on establish Climate-Smart Villages (CSVs) in Myanmar was a collaborative effort of the Food Security Working Group (FSWG) and the Myanmar Program of the International Institute of Rural Reconstruction.
Barbon, Wilson John +3 more
core
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source

