Xiangmin Zhang

ORCID: 0000-0001-9285-1619
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About
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Research Areas
  • Information Retrieval and Search Behavior
  • Metabolism, Diabetes, and Cancer
  • Technology Adoption and User Behaviour
  • Viral gastroenteritis research and epidemiology
  • Ubiquitin and proteasome pathways
  • Advanced Proteomics Techniques and Applications
  • Personal Information Management and User Behavior
  • Virus-based gene therapy research
  • Salmonella and Campylobacter epidemiology
  • Digital Marketing and Social Media
  • Mobile Crowdsensing and Crowdsourcing
  • RNA Research and Splicing
  • Influenza Virus Research Studies
  • Advanced Text Analysis Techniques
  • Protein Kinase Regulation and GTPase Signaling
  • Topic Modeling
  • Respiratory viral infections research
  • Neuroscience of respiration and sleep
  • Expert finding and Q&A systems
  • Knowledge Management and Sharing
  • Obstructive Sleep Apnea Research
  • Escherichia coli research studies
  • Cystic Fibrosis Research Advances
  • Visual and Cognitive Learning Processes
  • Muscle Physiology and Disorders

Wayne State University
2016-2025

Ocean University of China
2021-2025

Eugene Applebaum College of Pharmacy and Health Sciences
2014-2025

Harbin Veterinary Research Institute
2022-2024

Chinese Academy of Agricultural Sciences
2022-2024

Southern Medical University Shenzhen Hospital
2023

Kunming Medical University
2022

Second Military Medical University
2022

Sixth Affiliated Hospital of Kunming Medical University
2022

Shanghai Pudong New Area Gongli Hospital
2022

The use of personal voice-assistants like Amazon Alexa and Google Assistant has been on the rise recently. To ensure a long-term success widespread diffusion these products it is important to evaluate their continued usage scenario instead initial adoption intention. Majority research evaluating continuance do so via an expectation-confirmation approach. However, in this work user engagement-based approach taken for utilitarian hedonic attitudes users towards scenario. This augmented with...

10.1109/access.2021.3132399 article EN cc-by IEEE Access 2021-01-01

Insulin receptor substrate 1 (IRS1) is a key mediator of insulin signal transduction. Perturbations involving IRS1 complexes may lead to the development resistance and type 2 diabetes (T2D). Surprisingly little known about proteins that interact with in humans under health disease conditions. We used proteomic approach assess interaction partners skeletal muscle from lean healthy control subjects (LCs), obese insulin-resistant nondiabetic (OCs), participants T2D before after infusion....

10.2337/db13-1872 article EN cc-by-nc-nd Diabetes 2014-03-01

Abstract Outer membrane vesicles (OMVs) isolated from Salmonella Typhimurium are potentially useful for developing subunit vaccines because of high immunogenicity and protective efficacy. However, flagella might remain in OMV pellets following purification, resulting non-essential immune responses counteraction bacterial when a vaccine against infection multiple serotypes . In this study, flagellin-deficient S. mutant was constructed. Lipopolysaccharide profiles, protein profiles...

10.1038/srep34776 article EN cc-by Scientific Reports 2016-10-04

Abstract Background Staphylococcus aureus (SA) is the leading cause of bacteremia in hospitalized patients. With limited therapeutic options, increasing use daptomycin (DAP) has resulted emergence DAP non-susceptible (DNS) SA strains. Nevertheless, mechanisms resistance DNS are not fully understood. Proposed include genetic and phenotypic changes affecting cell membrane wall. However, studies have been to single pairs isolates or that laboratory derived. Methods We performed whole-genome...

10.1093/ofid/ofae631.1521 article EN cc-by Open Forum Infectious Diseases 2025-01-29

Abstract A key nutrient sensing process in all animal tissues is the dynamic attachment of O-linked N-acetylglucosamine (O-GlcNAc). Determining targets and roles O-GlcNAc glycoproteins has potential to reveal insights into healthy diseased metabolic states. In cell studies, thousands proteins are known be O-GlcNAcylated, but reference datasets for most tissue types animals lacking. Here, we apply a chemoenzymatic labeling study compile high coverage dataset quadriceps skeletal muscle from...

10.1093/glycob/cwaf005 article EN Glycobiology 2025-02-10

Endothelial cell adhesion and migration are crucial to various biological processes, including vascular development. The identification of factors that modulate development through these functions has emerged as a prominent focus in cardiovascular research. Crip2 is known play role cardiac development, yet its involvement the underlying mechanism remains elusive. In this study, we revealed expressed predominantly system, particularly posterior cardinal vein caudal plexus intersegmental vein....

10.1007/s00018-025-05624-w article EN cc-by-nc-nd Cellular and Molecular Life Sciences 2025-03-13

ABSTRACT The conventional hemagglutinin (HA)- and neuraminidase (NA)-based influenza vaccines need to be updated most years are ineffective if the glycoprotein HA of vaccine strains is a mismatch with that epidemic strain. Universal targeting conserved viral components might provide cross-protection thus complement improve vaccines. In this study, we generated DNA plasmids recombinant vaccinia viruses expressing proteins nucleoprotein (NP), polymerase basic 1 (PB1), matrix (M1) from virus...

10.1128/cvi.00091-15 article EN Clinical and Vaccine Immunology 2015-04-02

A rapid growth in the smart-wearable industry is making it increasingly important to cater quality of experience (QoE) requirements end users. In this paper, we try model relationship between human and perception relation segment. For this, concepts data (QoD) information (QoI) are used. While QoD concerned with accuracy precision collected by smart-wearables, QoI relates useful that obtained from raw captured devices via companion applications each wearable installed on a smartphone....

10.1109/access.2019.2917061 article EN cc-by-nc-nd IEEE Access 2019-01-01

We report on an investigation of behavioral differences between users in difficult and easy search tasks. Behavioral factors that can be used real-time to predict task difficulty are identified. User data was collected a controlled lab experiment (n=38) where each participant completed four tasks the genomics domain. looked at user behaviors obtained by systems three levels, distinguished time point when measurements done. They are: 1) first-round level beginning search, 2) accumulated...

10.1145/2396761.2398434 article EN 2012-10-29

User domain knowledge affects search behaviors and success. Predicting a user's level from implicit evidence such as could allow an adaptive information retrieval system to better personalize its interaction with users. This study examines whether user can be predicted by applying regression modeling analysis method. We identify behavioral features that contribute most successful prediction model. A experiment was conducted 40 participants searching on task topics in the of genomics....

10.1002/asi.23218 article EN Journal of the Association for Information Science and Technology 2014-06-05

Consumer Internet of Things (CIoT) is an emerging area being represented by a variety smart consumer electronic (CE) devices. Often times, there are significant security and privacy issues with these devices, which unknown to the users when they decide purchase. While existing CE literatures have investigated technical aspects securing device or protecting privacy, what effects factors on purchase decision CIoT devices unknown. The current work attempts solve this gap in knowledge...

10.1109/tce.2021.3115847 article EN IEEE Transactions on Consumer Electronics 2021-09-27

Therapeutic resistance to immune checkpoint blockers (ICBs) in melanoma patients is a pressing issue, of which tumor loss IFN-γ signaling genes major underlying mechanism. However, strategies overcoming this mechanism have been largely elusive. Moreover, given the indispensable role tumor-infiltrating T cells (TILs) ICBs, little known about how tumor-intrinsic (IFNγR1

10.1038/s41467-022-32754-7 article EN cc-by Nature Communications 2022-08-25

This article reports the results of a study that investigated effects four user characteristics on users' mental models information retrieval systems: educational and professional status, first language, academic background, computer experience. The repertory grid technique was used in study. Using this method, important components systems were represented by nine concepts, based IR experts' judgments. Users' factor scores derived from matrices concept ratings different attributes concepts....

10.1002/1532-2890(2001)9999:9999<::aid-asi1092>3.3.co;2-v article EN Journal of the American Society for Information Science and Technology 2001-01-01

This study uses regression modeling to predict a user's domain knowledge level (DK) from implicit evidence provided by certain search behaviors. A user (n=35) with recall-oriented tasks in the genomic was conducted. number of models person's DK, were generated using different behavior variable selection methods. The best model highlights three variables as DK predictors: documents saved, average query length, and ranking position opened. is validated split sampling method. Limitations future...

10.1145/2009916.2010131 article EN Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval 2011-07-24

A Yersinia pestis mutant synthesizing an adjuvant form of lipid (monophosphoryl A, MPLA) displayed increased biogenesis bacterial outer membrane vesicles (OMVs). To enhance the immunogenicity OMVs, we constructed Asd-based balanced-lethal host-vector system that oversynthesized LcrV antigen Y. pestis, raised amounts enclosed in OMVs by type II secretion system, and eliminated harmful factors like plasminogen activator (Pla) murine toxin from OMVs. Vaccination with containing MPLA diminished...

10.1128/iai.00081-20 article EN Infection and Immunity 2020-03-04

Abstract This study explores the effect of task difficulty on search behavior changes for users with high and low domain knowledge. A user experiment (n=40) was conducted using 5 tasks. Participants rated their knowledge MeSH terms (n=409) were divided into two levels. Three tasks designed to be difficult very few relevant documents returned by our system easy, many returned. Our results showed that in Difficult tasks, spent significantly longer dwell time result pages visited more content...

10.1002/meet.14504901142 article EN Proceedings of the American Society for Information Science and Technology 2012-01-01
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