A5090819950- Robotics and Sensor-Based Localization
- Dyeing and Modifying Textile Fibers
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Optimization and Search Problems
- Advanced Battery Technologies Research
- Gaussian Processes and Bayesian Inference
- Target Tracking and Data Fusion in Sensor Networks
- Recommender Systems and Techniques
- Robotic Path Planning Algorithms
- Reinforcement Learning in Robotics
- Textile materials and evaluations
- Heat Transfer Mechanisms
- Underwater Vehicles and Communication Systems
- Electrospun Nanofibers in Biomedical Applications
- Domain Adaptation and Few-Shot Learning
- Advanced Sensor and Energy Harvesting Materials
- Virtual Reality Applications and Impacts
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurogenesis and neuroplasticity mechanisms
- Surface Modification and Superhydrophobicity
- Glioma Diagnosis and Treatment
- Ion Transport and Channel Regulation
- Immune cells in cancer
- Underwater Acoustics Research
Beijing University of Chinese Medicine
2024-2025
Dezhou University
2025
Huazhong University of Science and Technology
2025
Tri-Service General Hospital
2024
Tiangong University
2022-2024
Stevens Institute of Technology
2015-2024
Tsinghua University
2022-2024
State Power Investment Corporation (China)
2024
Ningbo No. 2 Hospital
2024
Tianjin Chengjian University
2023
We consider an autonomous exploration problem in which a mobile robot is guided by information-based controller through priori unknown environment, choosing to collect its next measurement at the location estimated be most informative within current field of view. propose novel approach predict mutual information (MI) using Bayesian optimization. Over several iterations, candidate sensing actions are suggested optimization and added committee that repeatedly trains Gaussian process (GP). The...
Abstract To drive electronic devices for a long range, the energy density of Li‐ion batteries must be further enhanced, and high‐energy cathode materials are required. Among materials, LiCoO 2 (LCO) is one most promising candidates when charged to higher voltages over 4.3 V. However, high‐voltage LCO confronted with severe surface bulk issues inducing poor cyclic stability. completely unleash potential cathodes, more comprehensive theoretical understanding underlying necessary, along active...
We present a novel algorithm to produce descriptive online 3D occupancy maps using Gaussian processes (GPs). GP regression and classification have met with recent success in their application robot mapping, as GPs are capable of expressing rich correlation among map cells sensor data. However, the cubic computational complexity has limited its large-scale mapping use. In this paper we address issue first by proposing test-data octrees, octrees within blocks that prune away nodes same state,...
We consider an autonomous exploration problem in which a range-sensing mobile robot is tasked with accurately mapping the landmarks priori unknown environment efficiently real-time; it must choose sensing actions that both curb localization uncertainty and achieve information gain. For this problem, belief space planning methods forward- simulate estimation may often fail real-time implementation, scaling poorly increasing size of state, action spaces. propose novel approach uses graph...
The synergistic effect between bimetallic catalysts has been confirmed as an effective method for activating persulfate (PMS). Therefore, we immobilized copper–cobalt on chitosan to prepare carbon PMS activation and degradation of reactive dyes. Experimental results demonstrate that the CuCo-CTs/PMS catalytic system exhibits excellent performance toward various types dyes (e.g., Ethyl violet, Chlortalidone, Di chlorotriazine), with rates reaching 90% within 30 min. CuCo-CTs exhibit high...
We consider the problem of autonomous mobile robot exploration in an unknown environment, taking into account a robot's coverage rate, map uncertainty and state estimation uncertainty. In this article, we present novel framework for underwater robots operating cluttered environments, built upon simultaneous localization mapping with imaging sonar. The proposed system comprises path generation, place recognition forecasting, belief propagation utility evaluation using <italic...
Previous research yields inconsistent findings on the association between air pollution and breast cancer risk, with no definitive causal relationship established. To address this, we conducted a two-sample Mendelian randomization study data from IEU open GWAS databases Breast Cancer Association Consortium to explore potential link (including PM2.5, PM2.5 absorbance, PM2.5–10, PM10, NO2, NOx) risk. We found that PM10 (odds ratio (OR) = 1.39, 95% CI: 1.07–1.80, p 0.013) NOx (OR 1.67,...
BACKGROUND Anti-glomerular basement membrane (anti-GBM) disease is an autoimmune mediated by deposit of antibodies to collagen type IV in glomerular and alveolar membranes. Membranous nephropathy (MN) characterized thickening the capillary walls due immune complex deposition. Anti-GBM can occur conjunction with a second disease. However, simultaneous presentation anti-GBM MN has rarely been described. Here, we present case 42-year-old man combined anti-phospholipase A2 receptor (PLA2R)...
Abstract Micro‐electrocorticography (micro‐ECoG) with superior temporal and spatial resolution plays a critical role in precise brain mapping decoding of activities. However, due to inevitable device‐brain displacement cerebrospinal fluid, the weak physical attachment micro‐ECoG devices on cortical arachnoid tissue cannot ensure stable neural interface achieve durable reliable ECoG recording over time. Herein, robust is explored using bio‐adhesive hydrogel patch for chronic recording. To...
Abstract In this work, we investigate the localization and topological properties of Haldane model under influence random flux Anderson disorder. Our analysis reveals that induces a transition from insulating to metallic states, while only arises modulation By employing real-space invariant methods, demonstrates system undergoes phase transitions different disorder manipulations, whereas uniquely insulator phases, with potential generate states opposite Chern numbers. These findings...
Striatal transplantation of dopaminergic (DA) neurons or neural stem cells (NSCs) has been reported to improve the symptoms Parkinson's disease (PD), but low rate cell survival, differentiation, and integration in host brain limits therapeutic efficacy. We investigated effects intracranial co-transplantation mesencephalic NSCs stably overexpressing human glial-derived neurotrophic factor (GDNF-mNSCs) together with fetal DA 6-OHDA rat model PD. injection mNSCs labeled by contrast enhancer...
The chemokine fractalkine (CX3CL1) and its receptor CX3CR1 play a fundamental role in the pathophysiology of stroke. Previous studies have focused on paracrine interaction between neurons that produce microglia express receptors central nervous system. Recent findings demonstrated functional expression by hippocampal neurons, suggesting their involvement neuroprotective neurodegenerative actions. To elucidate roles neuronal neurodegeneration induced ischemic stroke, mouse model permanent...