Peng Huang

ORCID: 0000-0003-2948-7169
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About
Contact & Profiles
Research Areas
  • Mineral Processing and Grinding
  • Advanced Radiotherapy Techniques
  • Granular flow and fluidized beds
  • Lubricants and Their Additives
  • Medical Imaging Techniques and Applications
  • Cyclone Separators and Fluid Dynamics
  • MXene and MAX Phase Materials
  • Metal and Thin Film Mechanics
  • Minerals Flotation and Separation Techniques
  • Industrial Vision Systems and Defect Detection
  • Remote Sensing and Land Use
  • Tribology and Wear Analysis
  • Advances in Oncology and Radiotherapy
  • Laser Material Processing Techniques
  • Force Microscopy Techniques and Applications
  • Tribology and Lubrication Engineering
  • Advanced Measurement and Detection Methods
  • Lung Cancer Diagnosis and Treatment
  • Diamond and Carbon-based Materials Research
  • Integrated Circuits and Semiconductor Failure Analysis
  • 2D Materials and Applications
  • Advanced Sensor and Energy Harvesting Materials
  • RNA modifications and cancer
  • Fault Detection and Control Systems
  • Advanced Algorithms and Applications

Southeast University
2016-2025

Suzhou Research Institute
2015-2025

Chinese Academy of Medical Sciences & Peking Union Medical College
2017-2025

State Key Laboratory of Mineral Processing
2025

National Clinical Research
2024

Chongqing University
2024

National Taiwan Normal University
2024

Beijing University of Technology
2024

China Electronic Product Reliability and Environmental Test Institute
2024

Jiangxi Transportation Research Institute
2024

Intracellular nicotinamide phosphoribosyltransferase (iNAMPT) in neuron has been known as a protective factor against cerebral ischemia through its enzymatic activity, but the role of central extracellular NAMPT (eNAMPT) is not clear. Here we show that eNAMPT protein level was elevated ischemic rat brain after middle-cerebral-artery occlusion (MCAO) and reperfusion, which can be traced to at least part from blood circulation. Administration recombinant exacerbated MCAO-induced neuronal...

10.1371/journal.pone.0085403 article EN cc-by PLoS ONE 2013-12-31

Ultra-low concentration (0.008 wt%) of HDTMS or OTMS modified GO in liquid paraffin can reduce the friction coefficients (FC) mixtures by 34.0% and 15.5% respectively. who possesses longer alkyl chain works better decreasing FC.

10.1039/c5ra20065b article EN RSC Advances 2015-01-01

Protein induced ultrathin MoS<sub>2</sub> flakes were successfully exfoliated, and they used as additives for water-based lubricating systems, which indicated that could improve the friction performance anti-wear abilities at a low concentration.

10.1039/c6ra23786j article EN RSC Advances 2016-01-01

Abstract MicroRNA (miRNA) in interstitial fluid (ISF) is a promising biomarker for early disease diagnosis, but its quantification challenging due to low sampling efficiency and weak signals. Here, inspired by the osmotic pressure‐driven feeding mechanism of sea anemones, novel designed that plasmonic nanodiamonds – microneedles (PND‐MNs) bioinspired system ultrarapid quantum sensing melanoma‐related miRNA. Specifically, high‐osmotic hydrogel microneedles, prepared immersing LiCl solution,...

10.1002/adfm.202422305 article EN Advanced Functional Materials 2025-01-05

Abstract Background and purpose Treatment record contains most of information related to treatment plan delivery in radiation therapy. Reviewing is an important quality assurance (QA) task for safety patient treatments. This usually performed by senior medical physicists. However, it time-consuming, tedious, error-prone. To assist this process, a review system (TRRS) developed automatically items record. Methods The firstly extracted from oncology (OIS). Based on the daily information,...

10.1186/s13014-024-02582-8 article EN cc-by Radiation Oncology 2025-01-15

Abstract Background Plan review is critical for safely delivering radiation dose to a patient under radiotherapy and mainly performed by medical physicist in routine clinical practice. Recently, the deep‐learning models have been used assist this manual process. As black‐box reason their predictions are unknown. Thus, it important improve model interpretability make them more reliable deployment. Purpose To alleviate issue, deep generative model, adversarial autoencoder networks (AAE), was...

10.1002/mp.17704 article EN Medical Physics 2025-02-17

To develop an automatic segmentation model for surgical marks, titanium clips, in target volume delineation of breast cancer radiotherapy after lumpectomy. A two-stage deep-learning is used to segment the clips from CT image. The first network, Location Net, designed search region containing all CT. Then second Segmentation locations previously detected region. Ablation studies are performed evaluate impact various inputs both networks. also compared with other existing methods including...

10.1186/s12880-025-01636-x article EN cc-by-nc-nd BMC Medical Imaging 2025-03-21

In this study, the effects of drum geometric boundary conditions on size-induced segregation behaviors binary particle systems were systematically investigated in non-cylindrical rotary drums. The results indicate that radial percolation and axial inclined interact within system a with low filling rate, as shape parameters change, flow characteristics mixtures are inconsistent, exhibiting phenomena such formation, reversal, splitting, merging, replication bands. contrast, an increasing...

10.3390/pr13040971 article EN Processes 2025-03-25
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