A5101665777- Air Quality Monitoring and Forecasting
- Air Quality and Health Impacts
- Atmospheric chemistry and aerosols
- Software System Performance and Reliability
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
- Biometric Identification and Security
- Sperm and Testicular Function
- Software Reliability and Analysis Research
- Environmental Education and Sustainability
- Software Engineering Research
- Plant-based Medicinal Research
- Metal-Organic Frameworks: Synthesis and Applications
- Cancer-related gene regulation
- Advanced Control Systems Design
- Advanced Steganography and Watermarking Techniques
- Hand Gesture Recognition Systems
- Neurofibromatosis and Schwannoma Cases
- Software Testing and Debugging Techniques
- Heat shock proteins research
- Traditional Chinese Medicine Analysis
- Alzheimer's disease research and treatments
- Music and Audio Processing
- Selenium in Biological Systems
- Genetic Associations and Epidemiology
Nanchang Hangkong University
2022-2024
Henan Psychiatric Hospital
2020-2024
Xinxiang Medical University
2020-2024
Software (Spain)
2024
Shandong University of Traditional Chinese Medicine
2024
Zhengzhou University
2024
Affiliated Hospital of Shandong University of Traditional Chinese Medicine
2024
North China University of Water Resources and Electric Power
2022-2023
Central South University
2022
Northwest Normal University
2021-2022
We examined the expression and potential biological function of HBO1 in non-small cell lung cancer (NSCLC). TCGA Oncomine databases showed that transcripts were elevated NSCLC. Furthermore, local NSCLC tumor tissues was higher than matched adjacent tissues. In primary immortalized cells, shRNA robustly inhibited viability, proliferation migration. Moreover, knockout by CRISPR/Cas9 induced significant anti-tumor activity cells. Conversely, ectopic overexpression cells increased H3-H4 histone...
Among the critical global crises curbing world development and sustainability, air quality degradation has been a long-lasting increasingly urgent one it sufficiently proven to pose severe threats human health social welfare. A higher level of model prediction accuracy can play fundamental role in assessment enhancing well-being. In this paper, four types machine learning models—random forest model, ridge regression support vector extremely randomized trees model—were adopted predict PM2.5...
Globally all countries encounter air pollution problems along their development path. As a significant indicator of quality, PM2.5 concentration has long been proven to be affecting the population's death rate. Machine learning algorithms outperform traditional statistical approaches are widely used in prediction. However research on model selection discussion and environmental interpretation prediction results is still scarce urgently needed lead policy making control. Our compared four...
Providing students with useful feedback on faulty programs can effectively help fix programs. Spectrum-Based Fault Location (SBFL), which is a widely studied and lightweight technique, automatically generate suspicious value of statement ranking to users find potential faults in program. However, the performance SBFL student not satisfactory, improve accuracy programs, we propose novel Multi-Correct Programs based Localization (MCPFL) approach. Specifically, We first collected correct...
Here we developed a facile solvent-assisted ligand exchange method for synthesizing thioether-containing hybrid metal-organic frameworks (MOFs) that cannot be made using direct synthesis. Such tailored approach provides an alternative to achieve thioether-based MOFs and its oxidation-decorated materials. These materials showed the ability take up heavy metals from solution capture CO2.
Schizophrenia (SZ) is a common and complex psychiatric disorder that has significant genetic component. The glutamate hypothesis describes one possible pathogenesis of SZ. solute carrier family 1 gene (SLC1A1) several genes thought to play critical role in regulating the glutamatergic system strongly implicated pathophysiology In this study, we identify polymorphisms SLC1A1 may confer susceptibility SZ Han Chinese population.We genotyped 36 single-nucleotide (SNPs) using Illumina GoldenGate...
Oxidative stress and neuroinflammation contribute to schizophrenia (SCZ) pathology may influence treatment efficacy. Matrix metalloproteinase 9 (MMP9) is a critical molecular node mediating the interaction between oxidative inflammation, so Here we examined associations of plasma MMP9 concentration with antipsychotic drug responses, clinical symptoms, brain structure. A total 129 healthy controls 124 patients SCZ were included in this study. Patients monitored clinically during 8 weeks...
In recent years, Varicocele (VC) has been recognized as a common cause of male infertility and can be alleviated with treatment. Previous studies have shown high levels oxidative stress inflammation in the testicular tissue both patients rat models varicocele infertility. The aim this study is to investigate role chlorogenic acid (CGA) spermatogenic dysfunction testis induced by VC underlying mechanisms. was adult rats partial constriction left renal vein, we showed that expression...
Abstract The scarce availability of water in highly populated cities is about to become a social problem. While the service companies work on improving distribution network order reduce losses, it evident that one main problems due an excess use this resource by users. This consumption relatively controlled when excessive clearly associated, consumer mind, with high costs. However, users are public places they tend consume because loss correlation In paper, we describe design device be...
The performance of direct torque control (DTC) based on space vector modulation (SVM) for permanent magnet synchronous motor (PMSM) artillery speed servo system is researched in this paper. PMSM has small stator inductance and flux linkage, so high sampling interval needed to reduce ripples when using classical DTC scheme. A SVM-based scheme applied the simulation done. results indicate that response (SVMDTC) as fast motor's are small. By a better at low wider range achieved.
To further study the brain behavior and pharmacokinetics of baicalin in intercellular fluid brain, recovery rate stability blood microdialysis probe vitro vivo. The concentration microdialysates was determined by LC-MS/MS for calculated. effects different flow rates (0.50, 1.0, 1.5, 2.0，3.0 μL•min⁻¹) on were incremental method decrement method. drug concentrations (50.00, 200.0, 500.0, 1 000 μg•L⁻¹) using times (0, 1, 2) effect vivo method, its results compared with those trial. decreased...
The carbon market is the most important policy tool for achieving peak and neutralization. Enterprises are significant players in market, this study aimed to identify if their willingness participate connected market’s stability and, at same time, whether it also relevant design implementation. Using technology acceptance model (TAM) 226 questionnaire data from equipment manufacturing enterprises Henan Province, China, contributes empirical analysis of impact mechanism information...
Abstract In this paper 4 types of machine learning models, i.e., Random forest mode, Ridge regression model, Support vector and Extremely randomized trees model were adopted to predict PM 2.5 based on multi-sources data including air quality, meteorological in time series. Data fed into the by using rolling prediction method which is proven improve accuracy our experiments. The comparative experiments show that at city level, RF ExtraTrees models have better predictive results season level...
Abstract In order to solve hashing sequences leakage in the existing speech authentication algorithms, this paper proposed a biohashing based on power spectrum. Fristly, algorithm pre-processed original speech, then used improved covariance method extract spectrum feature of and generated one-dimensional vector from matrix. A pseudo-random matrix was by using Sinc function transform, are projected mapped construct biometric template. Finally, binarization process generate hash index, upload...
Anti-aircraft artillery servo system requires high tracking accuracy and strong robustness. In this paper, an algebraic tuning rule is presented for fractional PI <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">λ</sup> controllers to control anti-aircraft artillery. A group of suitable parameters can be chosen out by drawing the curve describing relation between gain k <sub xmlns:xlink="http://www.w3.org/1999/xlink">p</sub> ,...
Software defect prediction constructs classification models by mining software history repositories to predict potentially defective program modules within a project for the ultimate purpose of improving quality. Among them, most methods are based on machine learning, and performance learning model relies hypothesis that training data has same distribution as test data. In practical applications, however, we often cannot guarantee unknown will have To address current problem unstable results...
Globally all countries encounter air pollution problems along their development path. As a significant indicator of quality, PM 2.5 concentration has long been proven to be affecting population’s death rate. Machine learning algorisms outperform traditional statistical approaches are widely used in prediction. However research on the model selection discussion and environmental interpretation prediction results is still scarce urgently needed lead policy making control. Our compared four...
Abstract Software defect prediction is critical to ensure the software quality. Researchers have worked on building various models improve performance of prediction. The existing are mainly divided into two categories: one constructed based artificial statistical features and other semantic features. DP-CNN [29] best models, because it combines both features, so its greatly improved compared with traditional models. In this paper, we inspired by model make following improvements: firstly,...