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Biologic Augmented Scaffold-based cartilage repair: Addressing Complications and Enhancing Outcomes.
J Clin Orthop Trauma
March 2025
Department of Orthopaedic Surgery, Sengkang General Hospital, Singapore.
Cartilage repair remains a significant challenge due to the tissue's limited innate regenerative capacity. Despite advances in techniques such as microfracture, autologous chondrocyte implantation (ACI), and osteochondral grafting, long-term outcomes are often compromised by complications, including suboptimal tissue integration, graft resorption, and mechanical instability. Recently, biologically augmented scaffold-based cartilage repair has emerged as a promising approach for full-thickness osteochondral lesions.
View Article and Find Full Text PDFMedium-Term Effects of Increased Water Intake and Head-Up Sleep on Cardiovascular Health.
JACC Adv
February 2025
Faculty of Medicine, Hong Kong University, Hong Kong, China.
Background: Whether medium-term increased water intake alone, or in combination with co-adjuvant nonexercise interventions aimed to expand blood volume (BV), improve the human cardiovascular phenotype and cardiorespiratory fitness remains unexplored.
Objectives: The purpose of this study was to determine the medium-term impact of increased (+40%) fluid (water) intake (IFI) or IFI plus head-up sleep (IFI + HUS) on BV and the cardiovascular phenotype in healthy individuals.
Methods: Healthy adults (n = 35, age 42 ± 18 years, 51% female) matched by sex, age, body composition, physical activity, and cardiorespiratory fitness were randomly allocated to IFI or IFI + HUS for 3 months.
A Reliable High-Performance Floating-Gate Transistor Based on ZrS Native Oxidation for Optoelectronic Synergistic Artificial Synapses.
ACS Appl Mater Interfaces
January 2025
Henan Key Laboratory of Infrared Materials & Spectrum Measures and Applications, School of Physics, Henan Normal University, Xinxiang 453007, China.
Floating-gate transistors (FGTs), considered the most promising structure among three-terminal van der Waals (vdW) synaptic transistors, possess superiorities in improved data retention, excellent endurance properties, and multibit storage capacity, thereby overcoming the von Neumann bottleneck in conventional computing architectures. However, the dielectric layer in FGT devices typically depends on atomic layer deposition or mechanically transferred insulators, posing several challenges in terms of device compatibility, manufacturing complexity, and performance degradation. Therefore, it is crucial to discover dielectrics compatible with two-dimensional (2D) materials for further simplifying FGT structures and achieving optimal performance.
View Article and Find Full Text PDFResponse mechanism of ethanol-tolerant Saccharomyces cerevisiae strain ES-42 to increased ethanol during continuous ethanol fermentation.
Microb Cell Fact
January 2025
College of Architecture and Environment, Sichuan University, Chengdu, 610065, Sichuan, China.
Background: Continuous fermentation offers advantages in improving production efficiency and reducing costs, making it highly competitive for industrial ethanol production. A key requirement for Saccharomyces cerevisiae strains used in this process is their tolerance to high ethanol concentrations, which enables them to adapt to continuous fermentation conditions. To explore how yeast cells respond to varying levels of ethanol stress during fermentation, a two-month continuous fermentation was conducted.
View Article and Find Full Text PDFAn optimized lightweight real-time detection network model for IoT embedded devices.
Sci Rep
January 2025
School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China.
With the rapid development of Internet of Things (IoT) technology, embedded devices in various computer vision scenarios can realize real-time target detection and recognition tasks, such as intelligent manufacturing, automatic driving, smart home, and so on. YOLOv8, as an advanced deep learning model in the field of target detection, has attracted much attention for its excellent detection speed, high precision, and multi-task processing capability. However, since IoT embedded devices typically own limited computing resources, direct deployment of YOLOv8 is a big challenge, especially for real-time detection tasks.
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