Results 191 to 200 of about 813,784 (293)
P02.294 Post-traumatic stress disorder in a student population several years after bomb attack [PDF]
Jacques De Mol+2 more
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
Post-traumatic Stress Disorders among Survivors of Road Traffic Crash injuries aged 18 Years and above, in Kigali City, Rwanda. [PDF]
Mutayomba A, Ogendi J.
europepmc +1 more source
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
S17.02 Structural findings in neuropsychiatric disorders: The role of stress [PDF]
Celso Arango, E. Olivares, R. Buchanan
openalex +1 more source
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat+6 more
wiley +1 more source
Reactivation of posttraumatic stress disorder after minor head injury
Marcelo L. Berthier+3 more
openalex +1 more source
P01.54 Posttraumatic stress disorders (PTSD) in Ukraine [PDF]
B. Mykhaylov+2 more
openalex +1 more source
This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
wiley +1 more source