Results 111 to 120 of about 105,138 (344)
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
Metabolic alterations in experimental models of depression [PDF]
Introduction: Major depressive disorder is one of the most prevalent psychiatric disorders and is associated with a severe impact on the personal functioning, thus with incurring significant direct and indirect costs.
Ionescu, Ecaterina+7 more
core +3 more sources
Deformation Behavior of La2O3‐Doped Copper during Equal Channel Angular Pressing
By additions of strengthening elements and/or structure optimization, the mechanical properties of copper can be increased while keeping favorable electric conductivity. By combining addition of La2O3 and processing by equal channel angular pressing, substructure development is achieved, leading to increase in microhardness to more than double the ...
Lenka Kunčická+2 more
wiley +1 more source
This study demonstrates a novel, additive manufacturing approach to produce complex, porous tungsten carbide structures using water‐based direct ink writing/robocasting. Leveraging a modified commercial printer and heat treatment, the process yields lightweight, electrically conductive 3D architectures capable of supporting a mechanical load.
James Bentley Bevis+3 more
wiley +1 more source
Do Caloric Test Results Affect the Prognosis of Sudden Hearing Loss?
Aim: The aim of this study is to evaluate the prognostic value of caloric test results in patients with sudden hearing loss.Material -Method: We evaluated 23 patients with sudden hearing loss who were hospitalized.
Süha Beton, Muharrem Gerçeker
doaj +1 more source
Reliability of Monothermal Caloric Test as Screening Test of Vestibular System [PDF]
Salman F. Alhabib, Issam Saliba
openalex +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
Bioelectrical activity of limb muscles during cold shivering of stimulation of the vestibular apparatus [PDF]
The effects of caloric and electric stimulation of the vestibular receptors on the EMG activity of limb muslces in anesthetized cats during cold induced shivering involved flexor muscles alone.
Kuzmina, G. I.
core +1 more source
Effects of Cultivation Conditions for Apples on Growth Rates of Fruit Fly Larvae and Contents of Phenolics [PDF]
Apples were grown with 3 different alleyway groundcover management strategies, providing a wide range of nutrient availabilities to the trees, spanning the ranges normally found in both conventional and organic orchards.
Brandt, Kirsten+3 more
core
Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang+8 more
wiley +1 more source