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Polarization-Sensitive Solar-Blind Ultraviolet Photodetectors Based on Semipolar (112̅2) AlGaN Film.
ACS Appl Mater Interfaces
January 2025
Research and Development Center for Wide Bandgap Semiconductors, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China.
Wide bandgap semiconductor AlGaN alloys have been identified as key materials to fabricate solar-blind ultraviolet photodetectors (SBUV PDs). Herein, a self-driven SBUV polarization-sensitive PD (PSPD) based on semipolar (112̅2)-oriented AlGaN films is reported. Using the flow-rate modulation epitaxy method, the full widths at half maximum (FWHMs) for the obtained (112̅2) AlGaN along [112̅3̅] and [11̅00] rocking curves are 0.
View Article and Find Full Text PDFIsolation, screening, and characterization of heavy metal-resistant bacteria from solid waste dumping sites in Central Gondar, Northwest, Ethiopia.
Sci Prog
January 2025
Department of Environmental and Industrial Biotechnology, Institute of Biotechnology, University of Gondar, Gondar, Ethiopia.
Objective: Heavy metal pollution is one of the more recent problems of environmental degradation caused by rapid industrialization and human activity. The objective of this study was to isolate, screen, and characterize heavy metal-resistant bacteria from solid waste disposal sites.
Methods: In this study, a total of 18 soil samples were randomly selected from mechanical sites, metal workshops, and agricultural land that received wastewater irrigation.
Deconvoluting thermomechanical effects in X-ray diffraction data using machine learning.
Acta Crystallogr A Found Adv
March 2025
Pennsylvania State University, University Park, PA 16802, USA.
X-ray diffraction is ideal for probing the sub-surface state during complex or rapid thermomechanical loading of crystalline materials. However, challenges arise as the size of diffraction volumes increases due to spatial broadening and because of the inability to deconvolute the effects of different lattice deformation mechanisms. Here, we present a novel approach that uses combinations of physics-based modeling and machine learning to deconvolve thermal and mechanical elastic strains for diffraction data analysis.
View Article and Find Full Text PDFSingle nucleotide polymorphism-based visual identification of using the loop-mediated isothermal amplification technique.
Front Plant Sci
January 2025
Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.
Introduction: (Hook.f. & Thomson) H.
View Article and Find Full Text PDFDFMA: an improved DeepLabv3+ based on FasterNet, multi-receptive field, and attention mechanism for high-throughput phenotyping of seedlings.
Front Plant Sci
January 2025
Institute of Crop Science, Huzhou Academy of Agriculture Sciences, Huzhou, China.
With the rapid advancement of plant phenotyping research, understanding plant genetic information and growth trends has become crucial. Measuring seedling length is a key criterion for assessing seed viability, but traditional ruler-based methods are time-consuming and labor-intensive. To address these limitations, we propose an efficient deep learning approach to enhance plant seedling phenotyping analysis.
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