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Fixation Methods, Complications, and Outcomes After Primary Fixation of Isolated Chondral Fragments in the Knee: A Systematic Review.
Am J Sports Med
January 2025
Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
Background: Knee injuries resulting in purely cartilaginous defects are rare, and controversy remains regarding the reliability of chondral-only fixation.
Purpose: To systematically review the literature for fixation methods and outcomes after primary fixation of chondral-only defects within the knee.
Study Design: Systematic review; Level of evidence, 5.
The First International Symposium of the World Wild Rice Wiring: Conservation and Utilization of Global Wild Rice Germplasm Resources through International Cooperation.
Mol Plant
January 2025
National Nanfan Research Institute, Chinese Academy of Agricultural Sciences, Sanya 572000, China; State Key Laboratory of Crop Gene Resources and Breeding/ Key laboratory Grain Crop Genetic Resources Evaluation and Utlization Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Yazhouwan National Laboratory, Sanya 572000, China. Electronic address:
As drastic climatic changes significantly impact global agriculture, the importance of conserving and utilizing wild germplasm has gained prominance. In this context, the conservation and sustainable utilization of wild rice germplasm resources have become a high priority. Although efforts to conserve and sustainably utilize wild rice germplasm are underway globally, they are fragmented and require international cooperation to advance climate-resilient rice breeding and ensure future food securiety.
View Article and Find Full Text PDFLeaf Dry Matter Content Is Phylogenetically Conserved and Related to Environmental Conditions, Especially Wildfire Activity.
Ecol Lett
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National Forestry and Grassland Administration Engineering Research Centre for Southwest Forest and Grassland Fire Ecological Prevention, College of Forestry, Sichuan Agricultural University, Chengdu, China.
Leaf dry matter content (LDMC) is an important determinant of plant flammability. Investigating global patterns of LDMC could provide insights into worldwide plant flammability patterns, informing wildfire management. We characterised global patterns of LDMC across 4074 species from 216 families, revealing that phylogenetic and environmental constraints influence LDMC.
View Article and Find Full Text PDFUnipolar Barrier Photodetectors Based on Van Der Waals Heterostructure with Ultra-High Light On/Off Ratio and Fast Speed.
Adv Sci (Weinh)
January 2025
Information Materials and Intelligent Sensing Laboratory of Anhui Province, Key Laboratory of Structure and Functional Regulation of Hybrid Materials of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, 111 Jiu Long Road, Hefei, 230601, China.
Unipolar barrier architecture is designed to enhance the photodetector's sensitivity by inducing highly asymmetrical barriers, a higher barrier for blocking majority carriers to depressing dark current, and a low minority carrier barrier without impeding the photocurrent flow through the channel. Depressed dark current without block photocurrent is highly desired for uncooled Long-wave infrared (LWIR) photodetection, which can enhance the sensitivity of the photodetector. Here, an excellent unipolar barrier photodetector based on multi-layer (ML) graphene (G) is developed, WSe, and PtSe (G-WSe-PtSe) van der Waals (vdW) heterostructure, in which extremely low dark current of 1.
View Article and Find Full Text PDFWeighted Echo State Graph Neural Networks Based on Robust and Epitaxial Film Memristors.
Adv Sci (Weinh)
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College of Physics Science & Technology, School of Life Sciences, Institute of Life Science and Green Development, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding, 071002, China.
Hardware system customized toward the demands of graph neural network learning would promote efficiency and strong temporal processing for graph-structured data. However, most amorphous/polycrystalline oxides-based memristors commonly have unstable conductance regulation due to random growth of conductive filaments. And graph neural networks based on robust and epitaxial film memristors can especially improve energy efficiency due to their high endurance and ultra-low power consumption.
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