Jiajing Chen

ORCID: 0000-0003-0523-4132
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About
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Research Areas
  • Wastewater Treatment and Nitrogen Removal
  • Plant biochemistry and biosynthesis
  • Topic Modeling
  • 3D Surveying and Cultural Heritage
  • 3D Shape Modeling and Analysis
  • Microbial Community Ecology and Physiology
  • Immunotherapy and Immune Responses
  • Atrial Fibrillation Management and Outcomes
  • Natural Language Processing Techniques
  • Remote Sensing and LiDAR Applications
  • Child and Adolescent Psychosocial and Emotional Development
  • Neurotransmitter Receptor Influence on Behavior
  • Cardiac Arrhythmias and Treatments
  • Catalytic C–H Functionalization Methods
  • Advanced Manufacturing and Logistics Optimization
  • Human Pose and Action Recognition
  • X-ray Diffraction in Crystallography
  • Antioxidant Activity and Oxidative Stress
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Mental Health Research Topics
  • Synthesis and Catalytic Reactions
  • Child Abuse and Trauma
  • Schizophrenia research and treatment
  • Cardiac pacing and defibrillation studies
  • Crystallization and Solubility Studies

Institute of Psychology, Chinese Academy of Sciences
2022-2025

University of Chinese Academy of Sciences
2022-2025

Chang'an University
2025

Fujian Medical University
2025

Nankai University
2022-2025

University of Hong Kong
2025

Tianjin Third Central Hospital
2025

Tianjin Medical University
2025

Chengdu University of Traditional Chinese Medicine
2025

Courant Institute of Mathematical Sciences
2024

Few data exist regarding the impact of socioeconomic factors on results current TKA in young patients. Predictors outcomes have focused primarily surgical technique, implant details, and individual patient clinical factors. The relative importance these compared to status is not known.We determined whether (1) factors, (2) demographic or (3) were associated with satisfaction functional after patients.We surveyed 661 patients (average age, 54 years; range, 18-60 61% female) 1 4 years...

10.1007/s11999-013-3002-y article EN Clinical Orthopaedics and Related Research 2013-05-01

Disturbance of macrophage-associated lipid metabolism plays a key role in atherosclerosis. Crosstalk between autophagy deficiency and inflammation response foam cells (FCs) through epigenetic regulation is still poorly understood. Here, we demonstrate that macrophages, oxidized low-density lipoprotein (ox-LDL) leads to abnormal crosstalk inflammation, thereby causing aberrant mediated dysfunctional transcription factor EB (TFEB)-P300-bromodomain-containing protein 4 (BRD4) axis. ox-LDL led...

10.1016/j.apsb.2021.12.014 article EN cc-by-nc-nd Acta Pharmaceutica Sinica B 2021-12-29

Recognizing the activities causing distraction in real-world driving scenarios is critical for ensuring safety and reliability of both drivers pedestrians on roadways. Conventional computer vision techniques are typically data-intensive require a large volume annotated training data to detect classify various distracted behaviors, thereby limiting their generalization ability, efficiency scalability. We aim develop generalized framework that showcases robust performance with access limited...

10.1109/tits.2024.3381175 article EN IEEE Transactions on Intelligent Transportation Systems 2024-04-05

Autophagosome-tethering compounds (ATTECs) represent an emerging targeted protein degradation (TPD) technology that directly draws intracellular proteins of interest (POIs) into autolysosomes. Although ATTECs are currently dominated by small molecules, the poor cell-type specificity and pharmacokinetic profile limit their applications in certain diseases. Moreover, suboptimal intrinsic autophagic activity cells affects ATTECs-mediated capability. Here we develop a nano-ATTEC system using our...

10.1021/acsmacrolett.4c00789 article EN ACS Macro Letters 2025-02-11

With the proliferation of LiDAR sensors and 3-D vision cameras, point cloud analysis has attracted significant attention in recent years. In this article, we propose a novel learning network, referred to as dynamic feature aggregation network (DPFA-Net), by selectively performing neighborhood (FA) with pooling an mechanism. DPFA-Net two variants for semantic segmentation classification clouds. As core module DPFA-Net, FA layer, which features each are aggregated via self-attention contrast...

10.1109/tgrs.2022.3168555 article EN publisher-specific-oa IEEE Transactions on Geoscience and Remote Sensing 2022-01-01

Accumulation of pathological tau is a hallmark Alzheimer's disease (AD), which correlates more closely with cognitive impairment than does the amyloid-β (Aβ) burden. Autophagy powerful process for clearance toxic proteins including aberrant tau. However, compromised autophagy demonstrated in neurodegeneration AD, and current inducers remain enormously challenging due to inability restoring pathway lack targeting specificity. Here, pathogenic tau-specific based on customized nanochaperone...

10.1002/adma.202313869 article EN Advanced Materials 2024-05-01

The study was designed to determine the growth pattern and current rate of laparoscopic partial colectomy in United States analyze various factors that influence adaptation over time.Laparoscopic has been shown have significant short- long-term benefits compared with open approach. Despite evidence from multiple, prospective, randomized trials, adoption Unites is reported be low.The Nationwide Inpatient Database used estimate for years 1996, 2000, 2004, 2008, 2009 examine pattern....

10.1097/sla.0b013e31828faa66 article EN Annals of Surgery 2013-04-18

Abstract The efficacy of cancer immunotherapy is greatly restricted by insufficient infiltration cytotoxic T lymphocytes and immunosuppressive microenvironment in tumor tissue. Here a potent strategy to address the limitations combination therapy chemokine (CXCL9) with BRD4‐PROTAC (dBET6) using unique mixed‐shell polymeric micelle (MSPM)‐based nanochaperone (nChap) delivery platform reported. CXCL9 significantly enhances intratumoral CD8+ cells while dBET6 induces cell immunogenic death...

10.1002/adfm.202314203 article EN Advanced Functional Materials 2024-02-14

This research introduces a novel text generation model that combines BERT's semantic interpretation strengths with GPT-4's generative capabilities, establishing high standard in generating coherent, contextually accurate language. Through the combined architecture, enhances depth and maintains smooth, human-like flow, overcoming limitations seen prior models. Experimental benchmarks reveal BERT-GPT-4 surpasses traditional models, including GPT-3, T5, BART, Transformer-XL, CTRL, key metrics...

10.48550/arxiv.2411.12157 preprint EN arXiv (Cornell University) 2024-11-18

Switching the site-selectivity of C–H activation in aryl sulfonamides containing strongly coordinating N-heterocycles was achieved using a Rh<sup>III</sup>-catalyst.

10.1039/c9sc03691a article EN cc-by Chemical Science 2019-01-01
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