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The Laboratory Opossum () Is a Unique Model for Research on Zika Virus: Robust Immune Response, Widespread Dissemination, and Long-Term Persistence.
Viruses
November 2024
Division of Human Genetics, School of Medicine, The University of Texas Rio Grande Valley, Edinburg/Harlingen/Brownsville, McAllen, TX 78520, USA.
The Zika virus (ZIKV) epidemic elicited a rapid commitment to the development of animal models for ZIKV research. Non-human primates (NHPs) and mice have made significant contributions to this research, but NHPs are expensive, have a long gestation period, and are available only in small numbers; non-genetically modified mice are resistant to infection. To address these deficiencies, we have established the laboratory opossum, , as a small animal model that complements the mouse and monkey models.
View Article and Find Full Text PDFEnhanced Immune Response Against Echinococcus Granulosus Through a CTLA-4/B7 Affinity-Based Vaccine.
Vaccines (Basel)
December 2024
Clinical Laboratory Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.
Echinococcosis is a zoonotic infectious disease that poses a significant threat to the health of individuals living in rural regions. While vaccination represents a potential strategy for disease prevention, there is currently no effective vaccine available for humans to prevent cystic echinococcosis (CE). This study aimed to design a novel multi-epitope vaccine (MEV) against Echinococcus granulosus for human use, employing immunoinformatics methods.
View Article and Find Full Text PDFA Scene Knowledge Integrating Network for Transmission Line Multi-Fitting Detection.
Sensors (Basel)
December 2024
Automation Department, North China Electric Power University, Baoding 071003, China.
Aiming at the severe occlusion problem and the tiny-scale object problem in the multi-fitting detection task, the Scene Knowledge Integrating Network (SKIN), including the scene filter module (SFM) and scene structure information module (SSIM) is proposed. Firstly, the particularity of the scene in the multi-fitting detection task is analyzed. Hence, the aggregation of the fittings is defined as the scene according to the professional knowledge of the power field and the habit of the operators in identifying the fittings.
View Article and Find Full Text PDFEndpoint Distribution Modeling-Based Capture Algorithm for Interfering Multi-Target.
Sensors (Basel)
December 2024
The State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.
In physical spaces, pointing interactions cannot rely on cursors, rays, or virtual hands for feedback as in virtual environments; users must rely solely on their perception and experience to capture targets. Currently, research on modeling target distribution for pointing interactions in physical space is relatively sparse. Area division is typically simplistic, and theoretical models are lacking.
View Article and Find Full Text PDFWavelet-Driven Multi-Band Feature Fusion for RGB-T Salient Object Detection.
Sensors (Basel)
December 2024
School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China.
RGB-T salient object detection (SOD) has received considerable attention in the field of computer vision. Although existing methods have achieved notable detection performance in certain scenarios, challenges remain. Many methods fail to fully utilize high-frequency and low-frequency features during information interaction among different scale features, limiting detection performance.
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