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Magnetoelastic anisotropy drives localized magnetization reversal in 3D nanowire networks.
Nanoscale
January 2025
Instituto de Micro y Nanotecnología, IMN-CNM, CSIC (CEI UAM+CSIC) Isaac Newton, 8, Tres Cantos, Madrid, E-28760, Spain.
Three-dimensional magnetic nanowire networks (3DNNs) have shown promise for applications beyond those of their linear counterparts. However, understanding the underlying magnetization reversal mechanisms has been limited. In this study, we present a combined experimental and computational investigation on simplified 3DNNs to address this gap.
View Article and Find Full Text PDFThe impact of digital literacy in enhancing individuals' health in China.
BMC Public Health
January 2025
Economics Department, Macquarie University, Sydney, Australia.
Background: Health is the cornerstone of individual well-being and a vital factor in socioeconomic development. In an increasingly digitalized world, digital literacy has emerged as one of the indispensable abilities, which not only pertains to an individual's capacity to acquire, analyze, evaluate, and utilize information but also profoundly influences their health behaviours, health decisions, and overall well-being. This paper uses the 2020 China Family Panel Studies (CFPS) data to explore digital literacy's impact on individuals' health.
View Article and Find Full Text PDFConfinement-induced Ni-based MOF formed on TiCT MXene support for enhanced capacitive deionization of chromium(VI).
Sci Rep
January 2025
School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng, 224051, People's Republic of China.
MXenes, as a novel two-dimensional lamellar material, has attracted much attention. However, MXenes lamellar are prone to collapse and stacking under hydrogen bonding and interlayer van der Waals forces, which affects their electrochemical and capacitive deionization performance. A three-dimensional Ni-1,3,5-benzenetricarboxylate/TiCT (Ni-BTC/TiCT) composite electrode material was developed to enhance the electrochemical and capacitive deionization performance.
View Article and Find Full Text PDFBackground And Objective: To assess whether conventional brightness-mode (B-mode) transrectal ultrasound images of the prostate reveal clinically significant cancers with the help of artificial intelligence methods.
Methods: This study included 2986 men who underwent biopsies at two institutions. We trained the PROstate Cancer detection on B-mode transrectal UltraSound images NETwork (ProCUSNet) to determine whether ultrasound can reliably detect cancer.
Automatic segmentation of the midfacial bone surface from ultrasound images using deep learning methods.
Int J Oral Maxillofac Surg
January 2025
Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, China; National Center for Stomatology, Beijing, China; National Clinical Research Center for Oral Diseases, Beijing, China; National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, China. Electronic address:
With developments in computer science and technology, great progress has been made in three-dimensional (3D) ultrasound. Recently, ultrasound-based 3D bone modelling has attracted much attention, and its accuracy has been studied for the femur, tibia, and spine. The use of ultrasound allows data for bone surface to be acquired non-invasively and without radiation.
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