Bin Zhang

ORCID: 0000-0003-4078-9766
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Advanced battery technologies research
  • Image and Object Detection Techniques
  • Perovskite Materials and Applications
  • Industrial Vision Systems and Defect Detection
  • Advanced Battery Materials and Technologies
  • Advanced Neural Network Applications
  • Advancements in Battery Materials
  • Non-Destructive Testing Techniques
  • Innovations in Concrete and Construction Materials
  • Infrastructure Maintenance and Monitoring
  • Neurological Disorders and Treatments
  • Biosensors and Analytical Detection
  • Remote-Sensing Image Classification
  • Engineering Structural Analysis Methods
  • Electrocatalysts for Energy Conversion
  • Embedded Systems and FPGA Design
  • Radiative Heat Transfer Studies
  • Immune Response and Inflammation
  • Grouting, Rheology, and Soil Mechanics
  • Advanced Sensor and Control Systems
  • Thermochemical Biomass Conversion Processes
  • Neural Networks and Applications
  • Peptidase Inhibition and Analysis
  • Oral and gingival health research
  • Advanced Image and Video Retrieval Techniques

Zhengzhou University
2009-2025

Air Force Medical University
2017

Xijing Hospital
2017

First People's Hospital of Foshan
2013

Zhengzhou People's Hospital
2013

Huazhong University of Science and Technology
2006-2012

Sirtuins are a family of highly evolutionarily conserved nicotinamide adenine nucleotide-dependent histone deacetylases. Sirtuin-3 (SIRT3) is member the sirtuin that localized primarily to mitochondria and protects against oxidative stress-related diseases, including myocardial ischemia/reperfusion (MI/R) injury. Melatonin has favorable effect in ameliorating MI/R We hypothesized melatonin injury by activating SIRT3 signaling pathway. In this study, mice were pretreated with or without...

10.1111/jpi.12419 article EN Journal of Pineal Research 2017-05-13

Abstract Aqueous zinc ion batteries are often adversely affected by the poor stability of metal anodes. Persistent water‐induced side reactions and uncontrolled dendrite growth have seriously damaged long‐term service life aqueous batteries. In this paper, it is reported that a sulfide with optimized electron arrangement on surface anode used to modify achieve cycle anode. The effective active sites first significantly improved simple ultrasound‐assisted etching strategy, then in situ...

10.1002/advs.202417323 article EN cc-by Advanced Science 2025-01-21

Aqueous rechargeable zinc-ion batteries have become an ideal solution for the next generation of energy storage systems due to their low cost and high safety. However, uncontrollable zinc dendrites harmful side reactions metal anodes hinder further development aqueous batteries. In this work, artificial fluoride oxide (F-ZnO) interface phase is integrated in situ on surface foil. The F-ZnO significantly inhibits electrode by reducing direct contact between electrolyte addition, modified a...

10.1021/acsami.4c06463 article EN ACS Applied Materials & Interfaces 2024-07-23

Designing a novel, efficient, and cost-effective nanostructure with the advantage of robust morphology outstanding conductivity is highly promising for electrode materials high-performance electrochemical storage device. In this paper, series honeycombed perovskite-type Sr-doped LaNiO3 nanosheets abundant porous structure were successfully synthesized by accurately controlling content. The study showed that optimal LSNO-0.4 (La0.6Sr0.4NiO3-δ) exhibited excellent performance, which high...

10.3390/nano11010155 article EN cc-by Nanomaterials 2021-01-09

Surface cracks are one of the primary defects in nuclear fuel pellets, posing a significant hazard to safety production. Deep learning-based methods recently developed for crack detection typically trained using supervised learning, with performance dependent on pixel-level annotations, which suffer from high labeling costs and low efficiency. To address this issue, we propose Weakly Supervised Crack Detection (WSCD) network surface pellets. The method adopts bounding-box annotations instead...

10.1080/00223131.2024.2371961 article EN Journal of Nuclear Science and Technology 2024-07-07

Crack detection is one of the important contents nuclear fuel pellet quality inspection. Aiming at problem high crack false rate caused by low image contrast pellets, complex background and fine cracks on surface, a Weighted Object Variance (WOV) threshold method guided SE-CrackNet convolutional neural network proposed. The first uses sliding window scanning technology to locate regions in image, then WOV extract achieve accurate identification surface pellet. pixel-level F1-measure about...

10.1080/00223131.2020.1869622 article EN Journal of Nuclear Science and Technology 2021-01-04

Schematic illustration of a colorimetric biosensor for breast cancer1 gene detection based on DNAzyme assistant DNA recycling and rolling circle amplification.

10.1039/c5ra01766a article EN RSC Advances 2015-01-01

In order to effectively conduct the defect detection of nuclear fuel pellets end face and avoid leakage radiation, a system for based on machine vision is proposed. Firstly, aiming at complexity pellets, set image acquisition lighted by left-right symmetric grating designed. Then, after fusing images structured light those cross points are extracted which classified Gaussian mixture model (GMM). Finally, series morphological operations such as dilation operation conducted obtain area face....

10.1080/00223131.2019.1708827 article EN Journal of Nuclear Science and Technology 2020-01-02

Abstract A series of new 2-cyanopyrrolidine derivatives with constrained imidazolidin ring were synthesized, Their structures confirmed by 1H NMR spectroscopy and/or mass spectrometry, and their activities evaluated in vitro. They proven to possess submicromolar inhibitory against dipeptidyl peptidase IV. Keywords: Antidiabetic agent2-cyanopyrrolidinedipeptidyl IV inhibitorsimidazolidin Notes Note. Values are IC50 (μM) expressed as the mean three independent determinations.

10.1080/00397910902919522 article EN Synthetic Communications 2009-12-12

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

10.2139/ssrn.4798855 preprint EN 2024-01-01

Sparse meteorological forecasting is indispensable for fine-grained weather and deserves extensive attention. Recent studies have highlighted the potential of spatio-temporal graph convolutional networks (ST-GCNs) in predicting numerical data from ground stations. However, as one highest fidelity lowest latency data, application vision satellites ST-GCNs remains unexplored. There are few to demonstrate effectiveness combining above multi-modal sparse forecasting. Towards this objective, we...

10.48550/arxiv.2404.16037 preprint EN arXiv (Cornell University) 2024-01-26

Abstract Desiccation cracking is a frequent natural phenomenon that occurs in drying soil and has significant negative impact on the mechanical hydraulic properties of clay or geomaterials various engineering applications. In this study, recycled glass sand (RGS) was used to reduce plasticity mitigate desiccation cracks soils. The effect RGS particle size content investigated using crack observation test. Digital image processing technology evaluate rate, length, width, area during results...

10.1088/1755-1315/1337/1/012050 article EN IOP Conference Series Earth and Environmental Science 2024-05-01

Abstract As an important candidate for rechargeable energy storage devices, the large‐scale development of aqueous zinc ion batteries has been hindered by hydrogen evolution and uncontrollable dendrites metal anodes. A novel ZnO‐SiO 2 composite interface phase (Zn@ZSCP) with a double protective effect based on in situ synthesis hydrothermal method is used to improve these difficulties. The hydrophilic SiO layer beneficial dissolution hydrated ions reduces nucleation barrier during...

10.1002/advs.202411995 article EN cc-by Advanced Science 2024-12-04

Surface cracks, one of the main quality defects in nuclear fuel pellets, are usually subtle and hidden complex backgrounds, making them difficult to detect accurately threatening reactor safety. In order achieve accurate cracks detection, a pellet crack detection (FPCD) network is proposed based on fully convolutional with VGG16 structure as encoder's backbone (FCN-VGG16). The new architecture modifies combination mode convolution layers pooling layers, optimizes size number kernels. And...

10.1080/00223131.2021.1987347 article EN Journal of Nuclear Science and Technology 2021-10-21

Abstract For the fracturing trucks, which is an important member of oil and gas fracturing, stress strength truck’s frame have a very significant influence on continuous operation. This paper takes 2500 truck as research object, analyses its condition, conducts static test dynamic whole truck, respectively tests strain 15 measuring points under fully loaded condition right front wheel lifting finds out distribution rule frame. The results show that maximum position migration at root rear...

10.1088/1757-899x/751/1/012057 article EN IOP Conference Series Materials Science and Engineering 2020-01-01

10.11947/j.agcs.2021.20210251 article EN DOAJ (DOAJ: Directory of Open Access Journals) 2021-11-01

Surface defect detection of nuclear fuel pellets is crucial for the efficient and safe operation reactors. In this study, a method based on structured light convolutional neural network proposed to address challenges posed by small-sized pellets, varying forms sizes pellet end face defects, complex background environments. The utilizes DLP technology Scheimpflug lens construct high-performance imaging device. Subsequently, deep model named Defect-Deepf.abv. + designed processing images....

10.1109/icemi59194.2023.10270621 article EN 2023-08-09
Coming Soon ...