A5101554955- GNSS positioning and interference
- Geophysics and Gravity Measurements
- Inertial Sensor and Navigation
- 3D Shape Modeling and Analysis
- Pulsars and Gravitational Waves Research
- Ionosphere and magnetosphere dynamics
- 3D Surveying and Cultural Heritage
- Pancreatic and Hepatic Oncology Research
- Robotics and Sensor-Based Localization
- Methane Hydrates and Related Phenomena
- Nutrition and Health in Aging
- Space Satellite Systems and Control
- Remote Sensing and LiDAR Applications
- Human Pose and Action Recognition
- Geomagnetism and Paleomagnetism Studies
- Esophageal and GI Pathology
- Genetic Associations and Epidemiology
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Advanced Optical Sensing Technologies
- Astronomical Observations and Instrumentation
- Renal and Vascular Pathologies
- Domain Adaptation and Few-Shot Learning
- Soil Moisture and Remote Sensing
- Chronic Kidney Disease and Diabetes
- Arctic and Antarctic ice dynamics
Zhejiang Provincial People's Hospital
2024-2025
Wenzhou Medical University
2024-2025
Sun Yat-sen University
2022-2024
Beijing University of Chinese Medicine
2024
PLA Information Engineering University
2021-2022
Satellite laser ranging (SLR) is the space geodetic technique with highest degree of range, measuring precision and distances right down to millimeter level. Thanks improvement SLR station layouts advance technology, in recent years, more research has been conducted determine Global Navigation System (GNSS) satellite orbits using data. The primary goal this contribution investigate accuracy BeiDou Navigation-3 (BDS-3) precise orbit determination (POD) solely data, as well explore impact...
Abstract The use of low earth orbit (LEO) satellites to enhance the performance global navigation satellite system and positioning services has become a popular research topic. In this study, NSGA‐III optimisation algorithm was used design two hybrid configurations 177 186 LEO constellations for enhancing BeiDou Satellite Navigation System (BDS). Under enhanced effect constellation, average geometric dilution precision (GDOP) BDS reduced 0.8 ± 0.1, maximum GDOP from 2.4 less than 1.1 (54.2%...
Unsupervised domain adaptation (UDA) could significantly improve the cross-domain performance of current supervised 3D deep learning methods and have a widespread application prospect. However, gap between source target renders UDA problem highly challenging. In this letter, we present novel method for point clouds from perspective multi-strategy. First, explore effectiveness state-of-the-art data augmentation to cloud adaptation, introduce procedure two widely-existed scenarios, i.e.,...
Abstract Over the past 20 years, Gravity Recovery and Climate Experiment (GRACE), its successor mission, GRACE‐Follow On (GRACE‐FO) have made significant contributions to time‐variable gravity field modeling. A Chinese low‐low satellite‐to‐satellite tracking gravimetry mission (i.e., future mission) has been confirmed be selected as polar‐orbiting satellite for China, because of capability collect data globally. However, analysis potential geosciences from GRACE‐FO coupling with is still...
Abstract TianQin project, a Chinese initiative in space gravitational wave detection, demands high precision satellite orbit during both entry and scientific operations. As means of developmental maturation, ground-based measurements play vital role ensuring the smooth execution satellite’s detection mission. This paper conducts simulation analysis by utilizing various measurement data, including China Deep Space Network (CDSN), S/Ka-band ranging system, Satellite Laser Ranging (SLR). The...
<title>Abstract</title> <bold>Background</bold> Diabetic nephropathy (DN) represents a significant complication of diabetes, progressively contributing to the global incidence end-stage renal disease (ESRD). Currently, diagnosis DN primarily relies on traditional clinical indicators, which may not adequately reflect progression and prognosis all patients, posing challenges in developing diagnostic therapeutic strategies. This study aims identify new molecular genetic biomarkers closely...
<title>Abstract</title> Background Breast cancer (BC) is the most prevalent among women, with significant incidence, mortality, and economic impact observed worldwide. Exploring potential candidates in tumor microenvironment can be a breakthrough prevention. Observational studies have suggested reciprocal influence between BC cathepsins. However, confounding factors may results of these studies. While overcoming factors, Mendelian randomization (MR) assess causal relationships. Objective...
<title>Abstract</title> Bcakground Minimally invasive pancreaticoduodenectomy (MIPD) has been routinely performed in major centers, and its feasibility efficacy tumor treatment have highly recognized. However, the resection process of MIPD is still complicated with postoperative morbidities. The effect sarcopenia malnutritional status on clinical outcomes remains unclear controversial. Methods data 207 patients who had consecutively received between June 2017 December 2022 were...
In the case of a weak signal from photon counting lidar and strong noise solar background, is completely submerged by noise, potentially resulting in appearance multiple peaks denoising algorithm entropy. Consequently, clear distinction between may become challenging, leading to significant fluctuation ranging error. To solve this problem, paper proposes an improved offset parameter optimization under framework entropy, aiming effectively eliminate peak interference caused enhancing...
Minimally invasive pancreaticoduodenectomy (MIPD) has been routinely performed in major centers, and its feasibility efficacy tumor treatment have highly recognized. Malnutrition associated with higher rates of morbidity, increased mortality surgical patients. The effect the nutritional status on MIPD outcomes still remains unclear controversial. clinical data 207 consecutive patients who had between June 2017 December 2022 were retrospectively analyzed. A multidimensional nutrition...
Rigid point cloud registration plays an important role in self-driving, drones, robotics and many other fields. The sensor limitations external environment interference practical applications lead to low overlap a pair of clouds which have some problems such as missing points extraneous points. However, most the current methods rely on complete compute correspondences, showing unsatisfactory performance registration. In this letter, we present voxel pre-localization multi-scale...