Yunpeng Zhao

ORCID: 0000-0002-5771-3373
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About
Contact & Profiles
Research Areas
  • Misinformation and Its Impacts
  • Social Media in Health Education
  • Glycosylation and Glycoproteins Research
  • Mental Health via Writing
  • Social Media and Politics
  • Health Literacy and Information Accessibility
  • Mitochondrial Function and Pathology
  • Monoclonal and Polyclonal Antibodies Research
  • Traditional Chinese Medicine Analysis
  • Electric Power System Optimization
  • Eating Disorders and Behaviors
  • Gene expression and cancer classification
  • Impact of Technology on Adolescents
  • Statistical Methods and Inference
  • Energy Load and Power Forecasting
  • Liver Disease Diagnosis and Treatment
  • Maritime Navigation and Safety
  • Sentiment Analysis and Opinion Mining
  • Machine Learning and Algorithms
  • Spam and Phishing Detection
  • Time Series Analysis and Forecasting
  • Digital Marketing and Social Media
  • Digital Communication and Language
  • Topic Modeling
  • Rock Mechanics and Modeling

PLA Information Engineering University
2024-2025

Shandong Jianzhu University
2024

Liaocheng University
2023-2024

Beijing Institute of Technology
2024

Kunming University
2020-2023

China Medical University
2023

North China Electric Power University
2020-2023

University of Florida Health
2018-2022

University of Florida
2017-2021

Arizona State University
2017-2021

The object of the study is to identify N-glycan profiling changes associated with gastric cancer and explore impact core-fucosylation on biological behaviors human cells. A total 244 subjects including cancer, ulcer healthy control were recruited. from serum proteins in tissues was analyzed by DNA sequencer-assisted fluorophore-assisted capillary electrophoresis. abundance core-fucosylated residues expression enzymes involved lectin blot, quantitative reverse transcription-polymerase chain...

10.1371/journal.pone.0094536 article EN cc-by PLoS ONE 2014-04-14

Background: Social media is being used by various stakeholders among pharmaceutical companies, government agencies, health care organizations, professionals, and news as a way of engaging audiences to raise disease awareness ultimately improve public health. Nevertheless, it unclear what effects this information has on laypeople.

10.2196/jmir.9266 article EN cc-by Journal of Medical Internet Research 2017-12-13

Sea transportation plays a vital role in global trade, and studying the impact of emergencies on sea is essential to ensure stability trade. At present, conflict between Palestine Israel has attracted extensive attention worldwide. However, there lack specific research shipping, particularly shipping costs. By using vessel trajectory data tankers from Automatic Identification System (AIS) taking large as an example, this paper quantifies visualizes changes before after conflicts data-driven...

10.3390/jmse13020311 article EN cc-by Journal of Marine Science and Engineering 2025-02-07

Background Eating disorders (EDs) are a group of mental illnesses that have an adverse effect on both and physical health. As social media platforms (eg, Twitter) become important data source for public health research, some studies qualitatively explored the ways in which EDs discussed these platforms. Initial results suggest such research offers promising method further understanding this diseases. Nevertheless, efficient computational is needed to identify analyze tweets relevant larger...

10.2196/18273 article EN cc-by JMIR Medical Informatics 2020-09-06

Objectives To assess the effect of exposure to misinformation about e-cigarette harms found on Twitter adult current smokers’ intention quit smoking cigarettes, purchase e-cigarettes and perceived relative harm compared with regular cigarettes. Setting An online randomised controlled experiment conducted in November 2019 among USA UK smokers. Participants 2400 smokers aged ≥18 years who were not users recruited from an panel. Participants’ a 1:1:1:1 ratio using least-fill randomiser...

10.1136/bmjopen-2020-045445 article EN cc-by BMJ Open 2021-09-01

The medicinal values of many natural bioactive components to treat myocardial ischaemia reperfusion (I/R) injury are limited by their poor permeability. Herein, we demonstrate that an original tanshinone IIA derivative (Tan-TPP) could probably be improved I/R suppressant. It was optimised mitochondria targeting group triphenylphosphine (TPP). Intriguingly, it accumulate in more efficiently inhibit the activity succinate dehydrogenase (SDH), which is closely related with oxidative injury....

10.1080/1061186x.2019.1566338 article EN Journal of drug targeting 2019-01-11

To address the issue of data integrity and reliability caused by sparse vessel trajectory data, this paper proposes a multi-step restoration method for based on feature correlation. First, we preserved overall trend detecting marking abnormal trajectories points using cubic spline interpolation preliminary restoration. Then, established composite indicator correlation selecting highly correlated features as inputs to model, reducing redundancy while improving key between features. Finally,...

10.3390/app14104057 article EN cc-by Applied Sciences 2024-05-10

Abstract Background There is a demand for serum markers the routine assessment of progression liver cancer. We previously found that N-linked sugar chains are altered in hepatocellular carcinoma (HCC). Here, we studied glycomic alterations during development HCC rat model. Results Rat was induced by hepatocarcinogen, diethylnitrosamine (DENA). N-glycans were profiled using DSA-FACE technique developed our laboratory. In comparison with control rats, DENA rats showed gradual but significant...

10.1186/1476-4598-9-215 article EN cc-by Molecular Cancer 2010-08-12

The aim of this study was to evaluate the diagnostic and differential power serum N-glycans for light chain multiple myeloma (LCMM). A total 167 cases subjects, including 42 LCMM, IgG myeloma, 41 IgA healthy controls were recruited in study. DNA sequencer-assisted fluorophore-assisted capillary electrophoresis (DSA-FACE) applied determine quantitive abundance N-glycans. core fucosylated, bisecting sialylated modifications analyzed LCMM patients (n=20) randomly selected from same cohort by...

10.1371/journal.pone.0127022 article EN cc-by PLoS ONE 2015-06-15

Sexual and gender minorities face extreme challenges that breed stigma with alarming consequences damaging their mental health. Nevertheless, sexual minority people health needs remain little understood. Because of stigma, are often unwilling to self-identify themselves as when asked. However, social media have become popular platforms for health-related researches. We first explored methods find through self-identifying tweets, further classified them into 11 subgroups. then analyzed...

10.1177/1460458219839621 article EN Health Informatics Journal 2019-04-10

Among American women, the rate of breast cancer is only second to lung cancer. An estimated 12.4% women will develop over course their lifetime. The widespread use social media across socio-economic spectrum offers unparalleled ways facilitate information sharing, in particular as it pertains health. Social also used by many healthcare stakeholders, ranging from government agencies industry, disseminate health and engage patients. purpose this study investigate people's perceptions attitudes...

10.3233/shti190435 article EN Studies in health technology and informatics 2019-01-01

Glutamate plays a crucial role in cognitive impairments after ischemic stroke. There is scarcity of information about how glutamate-induced activation cAMP-response element binding (CREB) signaling pathway regulates both the negative and positive regulators synaptic plasticity. Recent studies have demonstrated involvement prominent epigenetic repressors, such as MeCP2 DNMTs, Neuroprotective effects oxytocin against ischemia been previously reported, while underlying mechanism still elusive....

10.1016/j.biopha.2023.115520 article EN cc-by-nc-nd Biomedicine & Pharmacotherapy 2023-09-18

Many patients with mental disorders take dietary supplement, but their use patterns remain unclear. In this study, we developed a method to detect signals of associations between supplement intake and disorder in Twitter data. We an annotated dataset trained convolutional neural network classifier that can identify language pattern F1-score 0.899, precision 0.900, recall 0.900. Using the classifier, discovered melatonin vitamin D were most commonly used supplements among users who...

10.1177/1460458219867231 article EN cc-by-nc Health Informatics Journal 2019-09-30

Aim. The present study aimed to evaluate the changes in serum N-glycome profiles chronic hepatitis B (CHB) patients and assess role of N-glycome-derived markers noninvasive diagnosis liver fibrosis. Materials Methods. After biopsy for pathological grading staging, 128 CHB underwent N-glycomic analysis using DNA sequencer-assisted fluorophore-assisted carbohydrate electrophoresis (DSA-FACE) sensitive were screened. Results. Peaks 1, 2, 8 10 could, some extents, distinguish fibrosis at...

10.1016/s1665-2681(19)31025-7 article EN cc-by-nc-nd Annals of Hepatology 2012-03-01

Sexual and gender minorities' (SGMs) mental health needs remain little understood. Because of stigma discrimination, SGMs are often unwilling to self-identify reluctant participate in traditional surveys. On the other hand, social media platforms have brought rapid changes communication landscape provided us a new data source for surveillance vulnerable populations. In this study, we explored machine learning methods identify SGM individuals through finding their self-identifying tweets;...

10.1109/ichi-w.2018.00015 article EN 2018-06-01

Eating disorders (EDs) are serious mental illnesses associated with physical and psychiatric problems, premature death. Examining social media communication about ED symptoms may provide insight into how to prevent treat these disorders. This study is explore topics on Twitter related EDs. We applied the Correlation Explanation (CorEx) topic model 18,288 ED-related tweets identified 20 topics, which were further grouped 8 categories. The top two categories body image consequences. manually...

10.1109/ichi.2019.8904863 article EN 2019-06-01
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