Chenhao Zhao

ORCID: 0009-0005-8252-9235
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About
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Research Areas
  • Microplastics and Plastic Pollution
  • Infrastructure Maintenance and Monitoring
  • solar cell performance optimization
  • biodegradable polymer synthesis and properties
  • Power Systems and Renewable Energy
  • Photovoltaic System Optimization Techniques
  • Solar Thermal and Photovoltaic Systems
  • Bacterial biofilms and quorum sensing
  • Antimicrobial Resistance in Staphylococcus
  • Recycling and Waste Management Techniques
  • Smart Grid and Power Systems
  • Cancer Research and Treatments
  • Semiconductor materials and devices
  • Medical Research and Treatments
  • Advanced Materials Characterization Techniques
  • Evaluation Methods in Various Fields
  • Energy Load and Power Forecasting
  • Structural Health Monitoring Techniques
  • Geoscience and Mining Technology
  • Catalytic Processes in Materials Science
  • Educational Reforms and Innovations
  • Circular RNAs in diseases
  • Retinal and Macular Surgery
  • Electric Power Systems and Control
  • Image and Object Detection Techniques

Soochow University
2022-2025

Second Affiliated Hospital of Soochow University
2022-2025

Aerospace Information Research Institute
2024

Chinese Academy of Sciences
2023-2024

Research Institute of Highway
2024

Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie
2024

University College London
2024

Tianjin Chengjian University
2024

State Key Laboratory of Quantum Optics and Quantum Optics Devices
2024

Jianghan University
2024

Maximum power point tracking (MPPT) is essential for photovoltaic (PV) systems to ensure the highest output of PV arrays under any environmental condition. Comparing other techniques, Beta method shows advantages in terms speed, steady-state performance, and simple implementation. However, conventional can further be improved by minimizing oscillations around maximum a steady state an increasing speed response rapid changing irradiance or temperature. An Beta-parameter-based MPPT proposed...

10.1109/tia.2016.2599899 article EN IEEE Transactions on Industry Applications 2016-08-12

With the rapid increase in number of implant operations, incidence bone infections has increased. Methicillin-resistant Staphylococcus aureus (S. aureus) and other emerging fully drug-resistant strains make management even more challenging. Bone are mainly caused by S. require extensive surgical intervention long-term antibiotic therapy. The host autophagy response is critical to elimination infections. In this study, we demonstrate that a circular RNA (circRNA), circSyk, potential...

10.1371/journal.ppat.1012896 article EN cc-by PLoS Pathogens 2025-01-27

Maximum power point tracking (MPPT) is essential to improve the energy yield of solar systems. However, conventional MPPT algorithms show obvious problems such as conflict steady-state oscillations and dynamic speed, clash high computational burden accuracy. Originated from beta method, which shows advantages fast speed in transient stage, small steady-state, medium complexity implementation, this paper proposed an improved method further overall performance, especially for practical...

10.1109/tia.2016.2584584 article EN IEEE Transactions on Industry Applications 2016-06-24

Inorganic arsenic (iAs) is a worldwide environmental pollutant which exerts complicated and various toxic effects in organisms. Increasingly epidemic studies have revealed the association between iAs exposure adult male reproductive impairment. Consistent with proposal for toxicity testing 21st century (TT21C), adverse outcome pathway (AOP) framework may help unravel iAs-caused molecular functional changes leading to impairment.Combining CTD's phenotype-disease inference data, iAs-phenotypes...

10.1016/j.taap.2020.115370 article EN cc-by-nc-nd Toxicology and Applied Pharmacology 2020-12-16

Gastric cancer remains a significant global health concern, with notably high incidence in East Asia. This paper explores the potential of explainable machine learning models enhancing early diagnosis gastric cancer. Through comprehensive evaluations, various models, including WeightedEnsemble, CatBoost, and RandomForest, demonstrated accurately diagnosing The study emphasizes importance model explainability medical diagnostics, showing how transparent, can increase trust clinical...

10.1038/s41598-024-67892-z article EN cc-by-nc-nd Scientific Reports 2024-07-29

Staphylococcus aureus (S. aureus) has the ability to invade human cortical bones and cause intracellular infections in osteoblasts, which may lead a long-term infection that is difficult eliminate. It critical identify underlying mechanisms of osteoblast response S. aureus. More recently, multiple circular RNA (circRNA) functions have been identified, including serving as protein scaffolds or miRNA sponges being translated into polypeptides. The role circRNAs play osteoblasts not, our...

10.1016/j.heliyon.2024.e28461 article EN cc-by Heliyon 2024-03-22

Sialic acids are a family of monosaccharides that share nine-carbon backbone and carboxyl group. A recent derivatization method based on 3-nitrophenylhydrazine (3-NPH) provides mild chemical labeling technique for biomolecules containing carbonyl or groups. In this study, we utilized 3-NPH to label sialic via two-step process. The derivatized species can produce common reporter ion corresponding C1-C3 with two labels, fragment differentiating between Neu5Ac, Neu5Gc, KDN. This is compatible...

10.1039/d4ay00330f article EN Analytical Methods 2024-01-01

ABSTRACT This study aimed to elucidate the complement protein C3-mediated host-pathogen interaction in brain abscess caused by Staphylococcus aureus infection. Dual RNA-seq was employed analyze transcriptomic differences between C3 deficiency and wild-type mice of S. aureus- induced model, then we investigated potential regulatory pathways host mediated genes associated with pathogenesis abscess. Finally, deficient-mice hla mutants were used verify specific pathogen-host interaction. In...

10.1128/msystems.01540-24 article EN cc-by mSystems 2025-02-26

ABSTRACT This study aims to investigate the novel potential tigecycline resistance mechanism in Klebsiella pneumoniae and provide new insights for clinical treatment of infections caused by carbapenem-resistant pneumoniae. In vitro experiments were conducted induce , simulating genetic mutations that may arise under selective pressure settings. Next-generation sequencing real-time quantitative PCR (RT-qPCR) employed analyze bacterial genomic transcription related genes, respectively. Gene...

10.1128/spectrum.03204-24 article EN cc-by Microbiology Spectrum 2025-05-15

Abstract. Marine particles are key vectors in the ocean’s biological carbon pump, yet their distribution, contributions to particulate organic (POC) flux, and mechanisms controlling these processes remain poorly understood marginal seas. In this study, we investigated spatial distribution export potential of marine along continental slope South China Sea (SCS), using situ imaging data from an Underwater Vision Profiler (UVP 5) collected during a June 2015 cruise. Particle abundances ranged 0...

10.5194/egusphere-2025-2034 preprint EN cc-by 2025-05-27

Maximum power point tracking(MPPT) is very important in relation to solar energy development. Currently, there are two problems facing the existing MPPT methods namely tradeoff between steady-state oscillations and dynamic behavior, then high computational load accuracy. The Beta method can address these since it shows a fast tracking speed transient stage, smaller medium complexity of implementation. However, for optimal performance, essential identify configuration parameters with regard...

10.1109/icpe.2015.7167963 article EN 2015-06-01

Polycarbonate (PC) foam is a versatile material with excellent properties, but its low thermal stability limits application in high-temperature environments. The aim of this study was to improve the PC by adding glass fibers (GF) and investigate effect GF on crystallization behavior cell morphology. This motivated need performance foams various industries, such as construction, automotive, medical. To achieve goal, PC/GF composites were prepared extrusion, composite produced using batch...

10.3390/polym15061546 article EN Polymers 2023-03-21

With the continuous development of renewable energy in modern power systems, balance between supply and demand side become more volatile, which may cause potential system transmission congestions. Traditional risk assessment static security analysis area always uses flow model-based method, cannot address all possible operation scenarios. Therefore, a novel machine learning (ML) based data-driven model for early-warning congestion is proposed this paper. The can make full use historical data...

10.1109/cpeee54404.2022.9738719 article EN 2022-02-25
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