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Mechanism of photoluminescence properties of lyocell fibers changing with crystallinity.
Carbohydr Polym
March 2025
Engineering Research Center for Eco-Dyeing and Finishing of Textiles, Key Laboratory of Advanced Textile Materials and Manufacturing Technology, Ministry of Education, College of Textile Science and Engineering (International Institute of Silk), Zhejiang Sci-Tech University, Hangzhou 310018, China. Electronic address:
Although there have been sporadic reports that the crystallinity of cellulose has a significant impact on photoluminescence (PL) properties, the degree and pattern of this effect have not been thoroughly explored and elucidated. Here, we assume that crystallinity is positively correlated with PL emission. Then, lyocell fiber (CLY), a common man-made cellulose fiber, is selected to solve the above problems by exploring the PL emission properties of different crystallinity systems.
View Article and Find Full Text PDFProton arc therapy plan optimization with energy layer pre-selection driven by organ at risk sparing and delivery time.
Phys Med Biol
January 2025
Center for Molecular Imaging and Experimental Radiotherapy, Universite Catholique de Louvain, av Hippocrate 55 B1.54.07, Brussels, 1200, BELGIUM.
Objective: As proton arc therapy (PAT) approaches clinical implementation, optimizing treatment plans for this innovative delivery modality remains challenging, especially in addressing arc delivery time. Existing algorithms for minimizing delivery time are either optimal but computationally demanding or fast but at the expense of sacrificing many degrees of freedom. In this study, we introduce a flexible method for pre-selecting energy layers (EL) in PAT treatment planning before the actual robust spot weight optimization.
View Article and Find Full Text PDFDiscrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study.
JMIR Form Res
January 2025
Department of Psychology, The University of Texas at San Antonio, San Antonio, TX, United States.
Background: Perception-related errors comprise most diagnostic mistakes in radiology. To mitigate this problem, radiologists use personalized and high-dimensional visual search strategies, otherwise known as search patterns. Qualitative descriptions of these search patterns, which involve the physician verbalizing or annotating the order he or she analyzes the image, can be unreliable due to discrepancies in what is reported versus the actual visual patterns.
View Article and Find Full Text PDFThe PSO-IFAH optimization algorithm for transient electromagnetic inversion.
PLoS One
January 2025
Department of Electrical and Computer Engineering, The University of Tulsa, Tulsa, OK, United States of America.
As a non-contact method, the transient electromagnetic (TEM) method has the characteristics of high efficiency, small impact of device, no limitation of site range, and high resolution, and is a hot topic in current research. However, the research on the refined data processing method of TEM is lag, which seriously restricts the application in superficial engineering investigation and is a key problem that needs to be solved urgently. The particle swarm optimization (PSO) algorithm and firefly algorithm (FA) were successful swarm intelligence algorithms inspired by nature.
View Article and Find Full Text PDFA linear tessellation model for the identification of "food desert": A case study of Shanghai, China.
PLoS One
January 2025
Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China.
The "food desert" problem has been treated under a national strategy in the United States and other countries. At present, there is little research on the phenomenon of "food desert" in China. This study takes Shanghai as the research area and proposes a multiscale analysis method using a linear tessellation model that splits the street network into homogeneous linear units.
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