A5036466780- Privacy-Preserving Technologies in Data
- Molecular Sensors and Ion Detection
- Sulfur Compounds in Biology
- Luminescence and Fluorescent Materials
- Artificial Intelligence in Healthcare and Education
- Video Surveillance and Tracking Methods
- DNA and Nucleic Acid Chemistry
- Pharmacological Effects of Natural Compounds
- Software Testing and Debugging Techniques
- Advanced Image and Video Retrieval Techniques
- Acute Myeloid Leukemia Research
- Artificial Intelligence Applications
- Software Reliability and Analysis Research
- Gene Regulatory Network Analysis
- Cryptography and Data Security
- Neuroinflammation and Neurodegeneration Mechanisms
- Spectroscopy and Chemometric Analyses
- Domain Adaptation and Few-Shot Learning
- Advanced Data Compression Techniques
- Gout, Hyperuricemia, Uric Acid
- Stochastic Gradient Optimization Techniques
- Smart Agriculture and AI
- Educational Technology and Assessment
- Carcinogens and Genotoxicity Assessment
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Beijing Normal University
2025
Nanchang University
2022-2025
Southeast University
2022-2024
Henan University
2023
Tongji Zhejiang College
2021
Sichuan University
2019-2020
Abstract Single-cell analyses parse the brain’s billions of neurons into thousands ‘cell-type’ clusters residing in different brain structures 1 . Many cell types mediate their functions through targeted long-distance projections allowing interactions between specific types. Here we used epi-retro-seq 2 to link single-cell epigenomes and for 33,034 dissected from 32 regions projecting 24 targets (225 source-to-target combinations) across whole mouse brain. We highlight uses these data...
The combination of Alismatis Rhizoma (AR) and Smilacis Glabrae (RSG), as Chinese herb medicine, has been used for their uric acid-lowering effect. However, the effects mechanism two medicines have not fully reported. Therefore, to explore AR-RSG decoction on treatment chronic hyperuricemia (HUA) in rats well underlying mechanisms, this study, at first stage, a long-term HUA model was established by gavage oteracil potassium plus adenine; allopurinol positive control, AR or RSG alone with low...
To develop and verify a flow cytometric measurement of reticulocytes (RETs) micronucleus in rat bone marrow.In our protocol, reticulocytes, leukocytes DNA were labeled by anti-CD71-fluorescein isothiocyanate (FITC), anti-CD45-phycoerythrin (PE) DRAQ5, respectively. Sprague-Dawley (SD) rats assigned to four treatment groups randomly, exposed ethyl methanesulfonate (EMS), cyclophosphamide (CP), nitrosourea (ENU) colchicine (COL) Each group was divided into subgroups (5 per subgroup) according...
With the development of Internet things (IoT), federated learning (FL) has received increasing attention as a distributed machine (ML) framework that does not require data exchange. However, current FL frameworks follow an idealized setup in which task size is fixed and storage space unlimited, impossible real world. In fact, new classes these participating clients always emerge over time, some samples are overwritten or discarded due to limitations. We urgently need adapt dynamic sequences...
The data security issue in federated learning is critical. While allows clients to collaboratively participate the global model training without sharing private data, external eavesdroppers may intercept uploaded by client server, revealing some sensitive information. Noise interference, i.e., adding noise before transmission, an effective and efficient privacy-preserving method, but it degrades performance of system at same time. In this paper, address challenge degradation caused we...
Metamophic testing is an important method in software testing, and the generation of metamorphic relationship just key to testing. However, there are some difficulties generating itself. Its loss function has item(s) defined by L1 norm, which means that it contains absolute value makes whole problem be a non differentiable non-smooth optimization one. Thus, conventional gradient related line search cannot used find optimal solution generation. Therefore, this paper, based on t-distribution...
Federated learning has received extensive attention as a new distributed framework, which enables joint modeling without data sharing. However, it is still affected by the communication bottleneck, and most clients may not be able to participate in at same time, resulting slow convergence. To solve above problems, we propose federated aggregation algorithm based on global perspective, considers distribution of participating clients. The server builds feature table according distribution,...