Jing Wu

ORCID: 0000-0001-7430-7003
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About
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Research Areas
  • RNA Research and Splicing
  • Mental Health Research Topics
  • RNA modifications and cancer
  • Functional Brain Connectivity Studies
  • Software Engineering Research
  • Peptidase Inhibition and Analysis
  • Pharmacological Effects of Natural Compounds
  • Dementia and Cognitive Impairment Research
  • 14-3-3 protein interactions
  • NF-κB Signaling Pathways
  • Wnt/β-catenin signaling in development and cancer
  • Cancer Treatment and Pharmacology
  • Bioactive Natural Diterpenoids Research
  • Health, Environment, Cognitive Aging
  • Sphingolipid Metabolism and Signaling
  • Topic Modeling
  • Machine Learning in Healthcare
  • Autonomous Vehicle Technology and Safety
  • Lipid metabolism and biosynthesis
  • Software System Performance and Reliability
  • Industrial Vision Systems and Defect Detection
  • Cell death mechanisms and regulation
  • Retinoids in leukemia and cellular processes
  • Phosphorus compounds and reactions
  • Origins and Evolution of Life

Kunming Medical University
2025

Wuhan University of Technology
2023

Case Western Reserve University
2017-2022

Capital Medical University
2020-2022

Beijing YouAn Hospital
2022

Tencent (China)
2020

Ocean University of China
2016

Children's Hospital of Los Angeles
2007

Nanyang Medical College
2002

Cognitive decline is amongst one of the most commonly reported complaints during normal aging. Despite evidence that age and cognition are linked with similar neural correlates, no previous studies have directly ascertained how these two constructs overlap in brain terms neuroimaging-based prediction. Based on a long lifespan healthy cohort (CamCAN, aged 19-89 years, n = 567), it shown both cognitive function (domains spanning executive function, emotion processing, motor memory) human can...

10.1002/advs.202201621 article EN Advanced Science 2022-07-10

Predictive modeling of neuroimaging data (predictive neuroimaging) for evaluating individual differences in various behavioral phenotypes and clinical outcomes is growing interest. However, the field experiencing challenges regarding interpretability results. Approaches to defining specific contribution functional connections, regions, or networks prediction models are urgently needed, which may help explore underlying mechanisms. In this article, we systematically review methods...

10.1109/msp.2022.3155951 article EN IEEE Signal Processing Magazine 2022-06-28

The breakdown of stored fat deposits into its components is a highly regulated process that maintains plasma levels free fatty acids to supply energy cells. Insulin-mediated transcription Atgl, the enzyme mediates rate-limiting step in lipolysis, key point this regulation. Under conditions such as obesity or insulin resistance, Atgl often misregulated, which can contribute overall disease progression. mechanisms by induced during adipogenesis are not fully understood. We utilized...

10.1074/jbc.m117.783043 article EN cc-by Journal of Biological Chemistry 2017-07-19

Representation learning stands as one of the critical machine techniques across various domains. Through acquisition high-quality features, pre-trained embeddings significantly reduce input space redundancy, benefiting downstream pattern recognition tasks such classification, regression, or detection. Nonetheless, in domain tabular data, feature engineering and selection still heavily rely on manual intervention explanation, leading to time-consuming processes necessitating expertise. In...

10.31224/3985 preprint EN 2024-10-01

Highlights•SNAT2 activity mediates biphasic translational control in osmoadaptation•Early-phase stress inhibits translation and induces distinct RBP condensates•Late-phase SNAT2-mediated uptake of amino acids reverses inhibition•SNAT2 disassembles early-phase condensatesSummaryThe integrated response (ISR) plays a pivotal role adaptation machinery to cellular stress. Here, we demonstrate an ISR-independent osmoadaptation mechanism involving reprogramming via coordinated but independent...

10.1016/j.celrep.2022.111092 article EN cc-by-nc-nd Cell Reports 2022-07-01

For large industrial applications, system test cases are still often described in natural language (NL), and their number can reach thousands. Test automation is to automatically execute the cases. Achieving typically requires substantial manual effort for creating executable scripts from these NL In particular, given that each case consists of a sequence steps, testers first implement API method step then write script invoking methods sequentially automation. Across different cases,...

10.1145/3368089.3417067 article EN 2020-11-08

SUMMARY OBJECTIVE ADAMTS4 is a member of the family, which secretes proteinases. The mechanism tumor metastasis may be correlated to its promotion angiogenesis. It was determined whether participates in colorectal cancer progression. Methods expression clinical samples and CRC cell lines investigated. Using immunohistochemistry (IHC), fluorescence situ hybridization (FISH), RT-PCR, tumors different stages anatomic sites, three aggressiveness. Results overexpression observed tissue by IHC,...

10.1590/1806-9282.66.1.42 article EN Revista da Associação Médica Brasileira 2020-01-01

Ingenol mebutate possesses significant cytotoxicity and is clinically used to treat actinic keratosis. However, ingenol undergoes acyl migration which affects its bioactivity. Compound 3-O-angeloyl-20-O-acetyl (AAI, also known as 20-O-acetyl-ingenol-3-angelate or PEP008) a synthetic derivative of mebutate. In this work, we report the AAI synthesis details demonstrate has higher than in chronic myeloid leukemia K562 cell line. Our data indicate that increased activity originates from improved...

10.3390/ijms17081348 article EN International Journal of Molecular Sciences 2016-08-19

Considering the complexity of driving environment and high uncertainty road conditions in autonomous driving, this paper proposes a real-time object detection model YOLOv5st, which is integration advantages YOLOv5s Swin Transformer to achieve image recognition tasks perception. The proposed YOLOv5st tested on Transportation Wuhan China (TOWC) traffic dataset, results show that mean Average Precision (mAP) 89.8% validation set, 2.0% improvement compared YOLOv5s. And average inference time...

10.1117/12.3009244 article EN 2023-10-11
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