Lingfang Li

ORCID: 0000-0001-6018-5690
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Research Areas
  • Atherosclerosis and Cardiovascular Diseases
  • Video Analysis and Summarization
  • Natural Language Processing Techniques
  • Cytomegalovirus and herpesvirus research
  • Topic Modeling
  • Sports Analytics and Performance
  • Human Pose and Action Recognition
  • AI in cancer detection
  • MicroRNA in disease regulation
  • Renin-Angiotensin System Studies
  • Hormonal Regulation and Hypertension
  • Face and Expression Recognition
  • Advanced Algorithms and Applications
  • Text Readability and Simplification
  • SARS-CoV-2 detection and testing
  • Epigenetics and DNA Methylation
  • Medical Image Segmentation Techniques
  • Brain Tumor Detection and Classification
  • SARS-CoV-2 and COVID-19 Research
  • Influenza Virus Research Studies
  • Monoclonal and Polyclonal Antibodies Research
  • Systemic Lupus Erythematosus Research
  • RNA modifications and cancer
  • Endoplasmic Reticulum Stress and Disease
  • Cutaneous Melanoma Detection and Management

China Southern Power Grid (China)
2024

Xiangya Hospital Central South University
2013-2024

Inner Mongolia University of Science and Technology
2020-2024

Central South University
2013-2024

Southwest Jiaotong University
2023-2024

Fujian Medical University
2021-2023

Education Department of Fujian Province
2022

Zhejiang Gongshang University
2020

Shanghai University of Finance and Economics
2016

National Bureau of Economic Research
2016

Abstract The infection of the novel coronavirus severe acute respiratory syndrome 2 (SARS-CoV-2) has caused more than 200 000 deaths, but no vaccine or therapeutic monoclonal antibody is currently available. SARS-CoV-2 relies on its spike protein, in particular receptor-binding domain (RBD), to bind human cell receptor angiotensin-converting enzyme (ACE2) for viral entry, and thus targeting RBD holds promise preventing infection. In this work, a competitive biopanning strategy phage display...

10.1093/abt/tbaa008 article EN cc-by-nc Antibody Therapeutics 2020-04-01

10.1140/epjp/s13360-024-05960-z article EN The European Physical Journal Plus 2025-01-21

Abstract Recent advancements in CNN and Transformer-based models have significantly advanced medical image segmentation. CNN-based are less effective at capturing global contexts than Transformers structural disadvantages that limit their ability to capture detailed spatial information. In this paper, we introduce an Dual-Encoder Fusion Model incorporates a novel Correlation Module (CFM) for segmentation tasks. This model leverages the strengths of Convolutional Neural Networks (CNN) local...

10.1088/1402-4896/adadc8 article EN Physica Scripta 2025-01-23

Objective:The study was designed to evaluate the role of Human cytomegalovirus (HCMV) infection on homebox (HOX) gene expression and effects overexpression HOX genes proliferation apoptosis vascular smooth muscle cells (VSMCs). Methods: Viral verified by observation cytopathic through inverted microscopy, viral particles electron microscopy HCMV IE amplification RT-PCR. cDNA profiling technology used screen after in VSMCs. Abnormal Haematopoietically-expressed homeobox (HHEX) selected...

10.3389/fcimb.2016.00169 article EN cc-by Frontiers in Cellular and Infection Microbiology 2016-11-30

Objective— To identify circulating microRNAs that are differentially expressed in severe coronary heart disease with well or poorly developed collateral arteries and to investigate their mechanisms of action vivo vitro. Approach Results— In our study, we identified a microRNA, miR-15b-5p, low expression that, nevertheless, characterized patients sufficient artery function. Moreover, murine hindlimb ischemia model, situ hybridization miR-15b-5p was specifically vascular endothelial cells...

10.1161/atvbaha.116.308905 article EN cc-by Arteriosclerosis Thrombosis and Vascular Biology 2017-03-03

Influenza epidemics pose a threat to human health. It has been reported that meteorological factors (MFs) are associated with influenza. This study aimed explore the similarities and differences between influences of more comprehensive MFs on influenza in cities different economic, geographical climatic characteristics Fujian Province. Then, information was used predict daily number cases various based provide bases for early warning systems outbreak prevention.

10.1186/s12889-022-14299-y article EN cc-by BMC Public Health 2022-12-13

Reputation is critical to foster trust in online marketplaces, yet leaving feedback a public good that can be under-provided unless buyers are rewarded for it.Signaling theory implies only high quality sellers would reward truthful feedback.We explore this scope signaling using Taobao's "reward-for-feedback" mechanism and find items with rewards generate sales nearly 30%higher sold by higher sellers.The market design implication marketplaces benefit from allowing use build reputations signal...

10.3386/w22584 preprint EN 2016-09-01

Alzheimer's disease (AD) stands as the most prevalent neurodegenerative ailment, presently lacking a definitive cure. Given that primary medications for AD patients in early or middle stages demonstrate optimal efficacy, it becomes crucial to delve into identification of risk genes associated with onset. In our study, we compiled and integrated three transcriptomics datasets (GSE48350, GSE36980, GSE5281) originating from hippocampus 37 66 healthy controls (CTR) comprehensive bioinformatics...

10.1038/s41598-024-78181-0 article EN cc-by-nc-nd Scientific Reports 2024-11-11

This paper presents a framework with two automatic tasks targeting large-scale and low quality sports video archives collected from online streams. The is based on the bag of visual-words model using speeded-up robust features (SURF). first task genre categorization hierarchical structure. Following second which automatically obtained genre, views are classified support vector machines (SVMs). As consequence, classification result can be used in parsing highlight extraction. compared...

10.1145/1631272.1631380 article EN Proceedings of the 30th ACM International Conference on Multimedia 2009-10-19

Abstract Background This study adopted complete meteorological indicators, including eight items, to explore their impact on hand, foot, and mouth disease (HFMD) in Fuzhou, predict the incidence of HFMD through long short-term memory (LSTM) neural network algorithm artificial intelligence. Method A distributed lag nonlinear model (DLNM) was used analyse influence factors Fuzhou from 2010 2021. Then, numbers cases 2019, 2020 2021 were predicted using LSTM multifactor single-step multistep...

10.1186/s12879-023-08184-1 article EN cc-by BMC Infectious Diseases 2023-05-05

Background: The present study was designed to observe the infection of human cytomegalovirus (HCMV) vascular smooth muscle cells (VSMCs), and effect viral on lipid metabolism in VSMCs. Methods: cytopathic effects were observed by inverted microscopy examined electron RT-PCR. related gene profiling VSMCs after HCMV assayed cDNA assay abnormal expression genes validated quantitative content cholesterol detection kit. Results: showed obvious infection. Intact particles could be detected using...

10.1159/000447880 article EN cc-by-nc-nd Cellular Physiology and Biochemistry 2016-01-01

Cadmium (Cd) can influence germ cell development, and epigenetic events may be involved. However, there is no study on whether Cd cells differentiation into ovarian granulosa (GCs), more insight the molecular mechanism of effect development from mouse embryonic stem (ES) investigation appropriate factors are great importance. In this study, ES GCs was established in an vitro model. Subsequently, different concentrations 0, 0.1, 0.3, 1 then 3.0, 10.0 μmol/L were cultured We demonstrated that...

10.1016/j.ecoenv.2022.113431 article EN cc-by-nc-nd Ecotoxicology and Environmental Safety 2022-03-22

At different times, public health faces various challenges and the degree of intervention measures varies. The research on impact prediction meteorology factors influenza is increasing gradually, however, there currently no evidence whether its results are affected by periods. This study aims to provide limited reveal this issue.

10.1186/s12879-024-09750-x article EN cc-by-nc-nd BMC Infectious Diseases 2024-08-28

Lectin-like oxidized low-density lipoprotein receptor-1 (LOX-1) is a specific cell-surface receptor for oxidized-low-density (ox-LDL). The impact of high-density (HDL) on endoplasmic reticulum (ER) stress-mediated alteration the LOX-1 level in hepatocytes remains unclear. We aimed to investigate expression by tunicamycin (TM)-induced ER stress and determine effect HDL TM-affected hepatic L02 cells. Overexpression or silencing related cellular genes was conducted TM-treated mRNA evaluated...

10.1371/journal.pone.0124285 article EN cc-by PLoS ONE 2015-04-29

Abstract The infection of the novel coronavirus SARS-CoV-2 have caused more than 150,000 deaths, but no vaccine or specific therapeutic antibody is currently available. relies on its spike protein, in particular receptor binding domain (RBD), to bind human cell angiotensin-converting enzyme 2 (ACE2) for viral entry, and thus targeting RBD holds promise preventing infection. In this work, a competitive biopanning strategy phage display library was applied screen blocking antibodies against...

10.1101/2020.04.19.049643 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2020-04-20

Various innovative and original works have been applied proposed in the field of sports video analysis. However, individual focused on sophisticated methodologies with particular sport types there has a lack scalable holistic frameworks this field. This article proposes solution presents systematic generic approach which is experimented relatively large-scale consortia. The system aims at event detection scenario an input orderly sequential process. Initially, domain knowledge-independent...

10.1145/2168752.2168760 article EN ACM Transactions on Intelligent Systems and Technology 2012-05-01

This paper presents an efficient and robust automatic process for large-scale sports video analysis. The proposed system firstly identifies the genre of query video, then accomplishes interesting event detection task. significance this framework is its characteristic in testing with minimum human involvement training, as well scalability expansibility dealing a dataset. Domain-knowledge independent local features are extracted from input sequence histogram based distribution representation...

10.1145/1923947.1923977 article EN 2010-01-01

Swarm intelligence is a research branch that models the population of interacting agents or swarms are able to self-organize. An ant colony, flock birds an immune system typical example swarm system. Bees’ swarming around their hive another intelligence. The Artificial Bee Colony algorithm optimization based on intelligent behavior honey bee swarm. This paper presents Optimization intended introduce chaotic sequences into algorithm. On basis Algorithm, new by introducing constructing dynamic...

10.4156/jcit.vol7.issue22.57 article EN Journal of Convergence Information Technology 2012-12-18
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