A5101564451- Advanced materials and composites
- Advanced Graph Neural Networks
- Graph Theory and Algorithms
- Advanced Memory and Neural Computing
- Metal and Thin Film Mechanics
- Catalysis and Hydrodesulfurization Studies
- Ferroelectric and Negative Capacitance Devices
- Hydrocarbon exploration and reservoir analysis
- Parallel Computing and Optimization Techniques
- Electrochemical sensors and biosensors
- Diamond and Carbon-based Materials Research
- Caching and Content Delivery
- Analytical Chemistry and Sensors
- Corrosion Behavior and Inhibition
- Reproductive Biology and Fertility
- Optical Systems and Laser Technology
- Cloud Computing and Resource Management
- Electrocatalysts for Energy Conversion
- Distributed Control Multi-Agent Systems
- Industrial Technology and Control Systems
- Advanced Sensor and Control Systems
- Advancements in Transdermal Drug Delivery
- Teleoperation and Haptic Systems
- Ovarian function and disorders
- High-Temperature Coating Behaviors
Second Affiliated Hospital of Nanjing Medical University
2025
National University of Singapore
2025
University of South China
2012-2025
Huazhong University of Science and Technology
2008-2024
Zhejiang University
2024
National Clinical Research Center for Digestive Diseases
2023-2024
Ministry of Education of the People's Republic of China
2023-2024
Tongji Hospital
2021-2024
The Affiliated Yongchuan Hospital of Chongqing Medical University
2024
Chongqing Medical University
2024
Although topical application of minoxidil is a widely used, FDA-approved therapy for androgenetic alopecia (AGA) treatment, it suffers from low bioavailability, the requirement frequent long-term use, and side effects. With similar structure as minoxidil, kopexil kopyrrol are less toxic have been commercialized, but show an inferior hair regeneration effect compared to minoxidil. Herein, we developed hyaluronic acid (HA)-based dissolvable microneedles (MNs) delivery platform integrated with...
Background Novel coronavirus disease (COVID-19) is spreading rapidly, which poses great challenges to patients on maintenance hemodialysis. Here we report the clinical features of 66 hemodialysis with laboratory confirmed COVID-19 infection.Design, setting, participants, and measurements Retrospective, single-center case series from 1 January 5 March 2020; final date follow-up was 25 2020.Results The data were collected COVID-19. incidence in our center 11.0% (66/602), 18 died. According...
Heterogeneous graph neural networks (HGNNs) based on metapath exhibit powerful capturing of rich structural and semantic information in the heterogeneous graph. HGNNs are highly memory-bound thus can be accelerated by near-memory processing. However, they also suffer from significant memory footprint (due to storing instances as intermediate data) severe redundant computation (when vertex features aggregated among instances). To address these issues, this paper proposes MetaNMP, first...
Liver cancer is a prevalent and life-threatening condition, particularly among elderly individuals. The association between diabetes, chronic metabolic disorder, the onset advancement of liver has been widely acknowledged. However, effect diabetes on survival older patients with topic debate. In light this, we undertook retrospective study to assess impact overall (OS) individuals diagnosed cancer. this analysis, examined clinical data from aged 80 years or who underwent diagnosis treatment...
Background: The abnormal morphology of complete discoid lateral meniscus (CDLM) is associated with a greater propensity for tears. magnetic resonance imaging (MRI) CDLM most often described in the coronal plane, few morphological studies sagittal position. Hypothesis: anteroposterior diameter smaller than that normal and increased after tear adults. Study Design: Cross-sectional study; Level evidence, 3. Methods: authors searched radiology records at our institution from June 2018 to...
The estimation of synchronization amongst multiple brain regions is a critical issue in understanding functions. There lack an appropriate approach which capable 1) measuring the direction and strength activities regions, 2) adapting to quickly increasing sizes scales neural signals. Nonlinear Interdependence (NLI) analysis effective method for bivariate signal. However, currently does not directly apply handling multivariate Its application practice has also long been largely hampered by...
Abstract Semaphorins are a family of evolutionarily conserved morphogenetic molecules that were initially found to be associated with axonal guidance. Semaphorin 4C (Sema4C), member the fourth subfamily semaphorins, has been demonstrated play multifaceted and important roles in organ development, immune regulation, tumor growth, metastasis. However, it is completely unknown whether Sema4C involved regulation ovarian function. We was widely expressed stroma, follicles, corpus luteum mouse...
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Graph convolutional networks</i> (GCNs) are promising to enable machine learning on graph data. GCNs show potential vertex-level and intra-vertex parallelism for GPU acceleration, but their irregular memory accesses arising in aggregation operations the inherent sparsity vertex features of graphs cause inefficiencies GPU. In this paper, we present gPIM, which aims accelerate inference through a...
To discover road anomalies, a large number of detection methods have been proposed. Most them apply classification techniques by extracting time and frequency features from the acceleration data. Existing are time-consuming since these perform on whole datasets. In addition, few pay attention to similarity data itself when vehicle passes over anomalies. this article, we propose QF-COTE, real-time anomaly system via mobile edge computing. Specifically, QF-COTE consists two phases: (1) Quick...
Recent years have witnessed a growing interest in using Wi-Fi received signal strength for indoor fingerprint-based positioning. However, previous study about this problem has primarily faced two main challenges. One is that positioning fingerprint feature unstable due to heterogeneous devices and dynamic environment status, which will greatly degrade the accuracy. Another some improved features suffer curse of dimensionality online In paper, we designed novel segment similarity access...
Existing streaming graph processing systems typically adopt two phases of refinement and recomputation to ensure the correctness incremental computation. However, severe redundant memory accesses exist due unnecessary synchronization among independent edge updates. In this paper, we present GraphFly, a high-performance asynchronous system based on dependency-flows. GraphFly features three key designs: 1) Dependency trees (D-trees), which helps quickly identify updates with low cost; 2)...
Graph analytics, which mainly includes graph processing, mining, and learning, has become increasingly important in several domains, including social network analysis, bioinformatics, machine learning. However, analytics applications suffer from poor locality, limited bandwidth, low parallelism owing to the irregular sparse structure, explosive growth, dependencies of data. To address those challenges, programming models, execution modes, messaging strategies are proposed improve utilization...