Binghong Chen

ORCID: 0000-0001-9090-3489
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About
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Research Areas
  • Thermal Radiation and Cooling Technologies
  • Energetic Materials and Combustion
  • solar cell performance optimization
  • Solar Thermal and Photovoltaic Systems
  • Advancements in Battery Materials
  • Peptidase Inhibition and Analysis
  • Rocket and propulsion systems research
  • Protease and Inhibitor Mechanisms
  • Supercapacitor Materials and Fabrication
  • Thermal and Kinetic Analysis
  • Advanced Thermodynamics and Statistical Mechanics
  • Combustion and flame dynamics
  • Cancer-related molecular mechanisms research
  • Nuclear Materials and Properties
  • Multimodal Machine Learning Applications
  • Radiative Heat Transfer Studies
  • Statistical Methods and Inference
  • Advanced Battery Materials and Technologies
  • Quantum Dots Synthesis And Properties
  • Sparse and Compressive Sensing Techniques
  • Advanced Biosensing Techniques and Applications
  • Software Engineering Research
  • Machine Learning and Algorithms
  • RNA modifications and cancer
  • Extraction and Separation Processes

University of Shanghai for Science and Technology
2004-2025

Fudan University
2012-2024

First Affiliated Hospital of Fujian Medical University
2022-2024

Fujian Medical University
2022-2024

Harbin Institute of Technology
2024

Zhongshan Hospital
2023-2024

Weatherford College
2023

Shanghai Jiao Tong University
2019-2023

Virtual Reality Medical Center
2023

Cal Humanities
2023

China is one of the few countries with some highest particulate matter levels in world. However, only a small number health studies have been conducted China. The study objective was to examine association an aerodynamic diameter less than 10 μm (PM(10)) daily mortality 16 Chinese cities between 1996 and 2008. Two-stage Bayesian hierarchical models were applied obtain city-specific national average estimates. Poisson regression incorporating natural spline smoothing functions used adjust for...

10.1093/aje/kwr425 article EN American Journal of Epidemiology 2012-04-17

Abstract The complete biosynthetic pathways are unknown for most natural products (NPs), it is thus valuable to make computer-aided bio-retrosynthesis predictions. Here, a navigable and user-friendly toolkit, BioNavi-NP, developed predict the both NPs NP-like compounds. First, single-step prediction model trained using general organic reactions through end-to-end transformer neural networks. Based on this model, plausible can be efficiently sampled an AND-OR tree-based planning algorithm...

10.1038/s41467-022-30970-9 article EN cc-by Nature Communications 2022-06-10

Circular RNAs (circRNAs), a newly discovered type of endogenous noncoding RNA, have been proposed to mediate the progression diverse types tumors. Systematic studies circRNAs just begun, and physiological roles remain largely unknown. Here, we focused on elucidating potential role molecular mechanism circular forkhead box O3 (circFOXO3) in glioblastoma (GBM) progression.First, analyzed circFOXO3 alterations GBM noncancerous tissues through real-time quantitative reverse transcription PCR...

10.1093/neuonc/noz128 article EN Neuro-Oncology 2019-07-24

Glioblastoma multiforme (GBM) has the highest mortality rate among patients with brain tumors, and radiotherapy forms an important part of its treatment. Thus, there is urgent requirement to elucidate mechanisms conferring GBM progression radioresistance. In present study, it was identified that antisense transcript hypoxia‑inducible factor‑1α (AHIF) significantly upregulated in cancerous tissues, as well radioresistant cells. The expression AHIF also response radiation. Knockdown cells...

10.3892/ijo.2018.4621 article EN International Journal of Oncology 2018-11-02

Glioblastoma (GBM) is one of the most devastating cancers and characterized by rapid cell proliferation aggressive invasiveness. Legumain (LGMN), a substrate-specific protease, associated with poor progression GBM. Circular RNAs (circRNAs) are aberrantly expressed in various play crucial roles tumor progression; however, functional circRNAs originating from LGMN remain largely unknown Herein, we found that hsa_circ_0033009 (circLGMN) was abundantly circRNA derived LGMN. CircLGMN upregulated...

10.1016/j.canlet.2021.09.030 article EN cc-by-nc-nd Cancer Letters 2021-09-27

Tumor-associated macrophages (TAMs) play a crucial role in the tumor microenvironment. Legumain (LGMN) has been shown to be tumor-promoting protein, but effect of LGMN on TAMs progression gastric cancer (GC) is under exploration. Our studies included construction LGMN-knockdown and LGMN-overexpressing induced from human cell line THP-1 (PMA/IL-4/IL-13) murine Raw264.7 (IL-4/IL-13). A CCK-8 assay transwell migration indicated that upregulation expression stimulated proliferation, invasion...

10.7150/ijbs.36467 article EN cc-by-nc International Journal of Biological Sciences 2019-12-06

Oxygen and nutrient deprivation is a common feature of solid tumours. Although abnormal alternative splicing (AS) has been found to be new driving force in tumour pathogenesis progression, the regulatory mechanisms AS underlying adaptation cancer cells harsh microenvironments remain unclear. Here, we that hypoxia- deprivation-induced asparagine endopeptidase (AEP) specifically cleaves DDX3X HIF1A-dependent manner. This cleavage yields truncated carboxyl-terminal (tDDX3X-C), which...

10.1172/jci173299 article EN cc-by Journal of Clinical Investigation 2023-11-21

We present a new method for determining optimally informative dynamic experiments the purpose of model discrimination among several rival multiresponse nonlinear structured models generally described by systems differential and algebraic equations (DAEs). A robust efficient algorithm based on an extension to case criterion put forth Buzzi-Ferraris Forzatti (Chem. Eng. Sci. 1984, 39, 81) is developed calculate input trajectories reformulation experiment design problem as optimal control...

10.1021/ie0203025 article EN Industrial & Engineering Chemistry Research 2003-02-08

We propose a meta path planning algorithm named \emph{Neural Exploration-Exploitation Trees~(NEXT)} for learning from prior experience solving new problems in high dimensional continuous state and action spaces. Compared to more classical sampling-based methods like RRT, our approach achieves much better sample efficiency high-dimensions can benefit of similar environments. More specifically, NEXT exploits novel neural architecture which learn promising search directions problem structures....

10.48550/arxiv.1903.00070 preprint EN other-oa arXiv (Cornell University) 2019-01-01
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