Results 71 to 80 of about 830,288 (320)

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
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

Monitoring cognitive resilience in military personnel in extreme operational environments: The role of smart technologies and nutritional strategies-A scoping review protocol.

open access: yesPLoS ONE
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]

open access: yes, 2018
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

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

open access: yesAdvanced Engineering Materials, EarlyView.
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

Review Paper: Schools’ Resilience Components in Accidents and Disasters: A Systematic Review Protocol

open access: yesHealth in Emergencies & Disasters Quarterly, 2019
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

open access: yesBiomedicines
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

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
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]

open access: yes, 2020
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  

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced Engineering Materials, EarlyView.
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

open access: yesAdvanced Engineering Materials, EarlyView.
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

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