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An Elastic Filtering Algorithm with Visual Perception for Vehicle GNSS Navigation and Positioning.
Sensors (Basel)
December 2024
School of Surveying and Mapping, Henan Polytechnic University, Jiaozuo 454003, China.
Amidst the backdrop of the profound synergy between navigation and visual perception, there is an urgent demand for accurate real-time vehicle positioning in urban environments. However, the existing global navigation satellite system (GNSS) algorithms based on Kalman filters fall short of precision. In response, we introduce an elastic filtering algorithm with visual perception for vehicle GNSS navigation and positioning.
View Article and Find Full Text PDFLong-term variability of extreme precipitation with WRF model at a complex terrain River Basin.
Sci Rep
January 2025
Key Laboratory for Humid Subtropical Eco-geographical Processes of the Ministry of Education, Fujian Normal University, Fuzhou, 350117, China.
Global warming has profound effects on precipitation patterns, leading to more frequent and extreme precipitation events over the world. These changes pose significant challenges to the sustainable development of socio-economic and ecological environments. This study evaluated the performance of the new generation of the mesoscale Weather Research and Forecasting (WRF) model in simulating long-term extreme precipitation events over the Minjiang River Basin (MRB) of China from 1981 to 2020.
View Article and Find Full Text PDFBiomimetic Linkage Mechanism Robust Control for Variable Stator Vanes in Aero-Engine.
Biomimetics (Basel)
December 2024
The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
This work addresses the position tracking control design of the stator vane driven by electro-hydrostatic actuators facing uncertain aerodynamic disturbances. Rapidly changing aerodynamic conditions impose complex disturbance torques on the guide vanes. Consequently, a challenging task is to enhance control precision in complex uncertain environments.
View Article and Find Full Text PDFEnhanced Cross-stage-attention U-Net for esophageal target volume segmentation.
BMC Med Imaging
December 2024
Laboratory of Image Science and Technology, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, Southeast University, Sipailou 2, Nanjing, P.R. China.
Purpose: The segmentation of target volume and organs at risk (OAR) was a significant part of radiotherapy. Specifically, determining the location and scale of the esophagus in simulated computed tomography images was difficult and time-consuming primarily due to its complex structure and low contrast with the surrounding tissues. In this study, an Enhanced Cross-stage-attention U-Net was proposed to solve the segmentation problem for the esophageal gross tumor volume (GTV) and clinical tumor volume (CTV) in CT images.
View Article and Find Full Text PDFStructural mechanism of CBR binding to peripheral and biased inverse agonists.
Nat Commun
December 2024
Department of Biophysics, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
The cannabinoid receptor 1 (CBR) regulates synaptic transmission in the central nervous system, but also has important roles in the peripheral organs controlling cellular metabolism. While earlier generations of brain penetrant CBR antagonists advanced to the clinic for their effective treatment of obesity, such molecules were ultimately shown to exhibit negative effects on central reward pathways that thwarted their further therapeutic development. The peripherally restricted CBR inverse agonists MRI-1867 and MRI-1891 represent a new generation of compounds that retain the metabolic benefits of CBR inhibitors while sparing the negative psychiatric effects.
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