A5100612420- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Service-Oriented Architecture and Web Services
- Topic Modeling
- Data Quality and Management
- Biomedical Text Mining and Ontologies
- Advanced Text Analysis Techniques
- Advanced Image and Video Retrieval Techniques
- Web Data Mining and Analysis
- Neural Networks and Applications
- Logic, Reasoning, and Knowledge
- Generative Adversarial Networks and Image Synthesis
- Advanced Database Systems and Queries
- E-commerce and Technology Innovations
- Domain Adaptation and Few-Shot Learning
- Cognitive Computing and Networks
- Data Management and Algorithms
- Human Motion and Animation
- AI-based Problem Solving and Planning
- Ferroelectric and Negative Capacitance Devices
- Access Control and Trust
- Maritime Navigation and Safety
- Cocoa and Sweet Potato Agronomy
- Imbalanced Data Classification Techniques
- Graph Theory and Algorithms
Qujing Normal University
2024
Nanjing Foreign Language School
2024
Nanjing University of Posts and Telecommunications
2016-2023
Data Assurance and Communication Security
2023
Qinghai University Affiliated Hospital
2020-2021
Chengdu Neusoft University
2021
National University of Defense Technology
2021
Beijing Institute of Technology
2021
Neusoft (China)
2021
Qinghai University
2020
Elaioplasts of citrus peel are colorless plastids which accumulate significant amounts terpenes. However, other functions elaioplasts have not been fully characterized to date. Here, a LC-MS/MS shotgun technology was applied identify the proteins from that were highly purified young fruit kumquat. A total 655 putative plastid identified according sequence homology in silico and manual curation. Based on functional classification via Mapman, ~50% fall into six categories, including protein...
With the advancement of video-compression technology and wide deployment wireless networks, there is an increasing demand for video communication services, many design challenges remain to be overcome. In this article, we discuss how dynamically allocate resources according changing environments requirements, so as improve overall system performance ensure individual quality service (QoS). Specifically, consider two aspects with regard issues: cross-layer design, which jointly optimizes...
The semantic similarity of gene ontology (GO) terms is widely used to predict protein-protein interactions (PPIs). traditional measures are based mainly on manually crafted features, which may ignore some important hidden information the ontology. Moreover, those methods usually obtain between proteins from GO by simple statistical rules, such as MAX and BMA (best-match average), oversimplifying possible complex relationship annotated with them. To overcome two deficiencies, we propose a new...
Recent years have seen a dramatic growth of semantic web on the data level, but unfortunately not schema which contains mostly concept hierarchies. The shortage schemas makes difficult to be used in many applications, so learning from becomes an increasingly pressing issue. In this paper we propose novel approach -BelNet, combines description logics (DLs) with Bayesian networks. way BelNet is capable understand and capture semantics one hand, handle incompleteness during procedure other...
Due to the increasing volume of and interconnections between semantic datasets, it becomes a challenging task for novice users know what are included in dataset, how they can make use them, particularly, queries should be asked. In this paper we analyse several types candidate insightful propose framework generate such identify their relations. To verify our approach, implemented evaluated its performance with benchmark real world datasets.
All walks of life are generally concerned about the problem customer churn. This paper deals with real telecom characteristic data and constructs a prediction model based on classification algorithm to predict churn rate. Among known algorithms, XGB performs better, its accuracy is 79.98%, recall rate 90.17%, F1 84.21%. According study, users following characteristics more likely (in descending order rate) : tenure 1-5, use "e-check", TotalCharges less than 2,281.92, MonthlyCharges 64.76 ,...
Relation extraction aims at discovering relations between entities from free text, and it is a crucial part of information extraction. Recently, kernel methods have seen successfully applied in relation In this paper, various text are discussed, including syntactic parsing, functions, as well their training algorithms. Major difficulties future research directions concluded.
Description logic programs (DLP) are an expressive but tractable subset of OWL. This paper analyzes the important under-researched problem learning DLP from uncertain data. Current studies have rarely explored plentiful data populating semantic web. algorithm handles in inductive programming framework by modifying performance evaluation criteria. A pseudo-log-likelihood based measure is used to evaluate different literals under uncertainties. Experiments on two datasets demonstrate that...
The aim of this study was to find a way efficiently separate neuronal cells from the cerebral cortex adult rats, providing reference method for rapid acquisition rat brain. Fifteen SD rats were randomly divided into three groups, with five in each group. Then, neuron isolated by grinding method, trypsin and collagenase II respectively. expression anti-NeuN neurons group analyzed flow cytometry. rates morphology observed immunofluorescence staining. or is more suitable an rat’s cortex. number...
Abstract Background Pyruvate dehydrogenase complex (PDHC) deficiency is a common neurodegenerative disease associated with abnormal mitochondrial energy metabolism. The diagnosis of PDHC difficult because the lack rapid, accurate, and cost‐effective clinical diagnostic method. Methods A 4‐year‐old boy was preliminarily diagnosed putative Leigh syndrome based on presentation. activity in peripheral blood leukocytes corresponding gene analysis were subsequently undertaken. Sodium pyruvate 1‐...