Informational Analysis and Prediction of Obsessive-Compulsive Disorder Pathogenesis

Yanrong Wang,Yuan Wang,Manxue Zhang,Doudou Liu,Jianqun Fang 대한신경정신의학회 2024 PSYCHIATRY INVESTIGATION Vol.21 No.5

Objective : We aimed to predict the possible mechanism of obsessive-compulsive disorder (OCD) by integrating and analyzing mRNA sequencing results from two datasets and to provide direction for future studies into the pathogenesis of OCD. Methods : Two OCD datasets, GSE78104 and GSE60190, were obtained, and the intersection of the two gene sets with differential expres-sion in OCD samples was selected. Kyoto Encyclopedia of Genes and Genomes (KEGG) signal pathway enrichment and Gene Ontology (GO) analyses were performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) online analysis web-site for the genes at the intersection, and the data were mapped using http://www.bioinformatics.com.cn. After genes with p≤0.05 had been screened out, protein-protein interaction (PPI) interaction analysis was conducted using Metascape to screen the key Molecular Complex Detection (MCODE) genes. MCODE genes were then enriched using the KEGG signaling pathway and GO classification. Results : A total of 3,449 differentially expressed genes (DEGs) were obtained from the GSE78104 and GSE60190 datasets. KEGG, GO, and Gene Set Enrichment Analysis analyses of DEGs showed that the onset of OCD was related to oxidative phosphorylation and other metabolic processes, which may have a similar pathogenesis to other neurodegenerative diseases. Single-gene PPI analysis of SAPAP3 re-vealed that the mechanism by which SAPAP3 knockout induces OCD may also be caused by affecting oxidative phosphorylation. Conclusion : The mechanism of SAPAP3 knockout-induced OCD in mice may be due to the oxidative phosphorylation process in the body. Future studies on the neural circuit mechanism of OCD should be conducted.

A Performance Extension Measurement Analysis Model of Enterprise Green Technology Innovation based on Extension Theory

Yanrong Wang,Annan Chen 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.11

Green technology innovation is the critical path for enterprises to achieve sustainable development. However, corporate green technology innovation in most cases is affected and constrained by multiple factors. It is featured by multi-factor, multi-target, multi-layer and fuzzy uncertainty, etc. Thus it is of great importance to measure and analyze the performance of corporate green technology innovation. To this end, this paper aims to study the performance measurement of corporate green technology innovation and proposes a performance analysis model based on extension theories for corporate green technology innovation. First, the model analyzed relevant factors that influence performance measurement analysis of corporate green technology innovation. Then, based on the analysis, it established the performance measurement analysis index system of corporate green technology innovation. Meanwhile, the model tried to normalize the different types of measurement analysis indexes after which corresponding classical fields and controlled fields were obtained. It then calculated the extension distances and the extension dependencies between different measurement analysis indexes as well as the classical fields and the controlled fields. The size of the extension dependency revealed the ability levels of corporate green technology innovation. Lastly, the model was tested by specific cases.

Research and Application of Supply Chain Distribution Optimization Model based on Improved Genetic Algorithm

Yanrong Wang,Annan Chen 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.11

Optimal solution and simulation has been made for model through improved genetic algorithm based on the established mathematical model. Distribution route optimization problem can be solved by algorithm in a better way based on the features of distribution optimization problem of complicated path and through improved genetic algorithm and adding population pretreatment operator; finally, simulation experiment has been made through MATLAB simulation software.

Getting Married with Shackles on

Freda Yanrong Wang,Raymond Sin-Kwok Wong 한국사회학회 2018 한국사회학회 심포지움 논문집 Vol.2018 No.5

Study on treatment of acid mine drainage by nano zero-valent iron synergistic with SRB immobilized particles

Xianjun Wang,Junzhen Di,Bing Liang,Yu Yang,Yanrong Dong,Mingxin Wang 대한환경공학회 2021 Environmental Engineering Research Vol.26 No.5

In view of the serious pollution and high cost of treatment of acid mine drainage (AMD) in coal mine, the polyving akohol (PVA) and boric acid embedding cross-linking method was used to prepare the immobilized particles for treatment of AMD with sulfate-reducing bacteria (SRB) and nano zero-valent iron (nano-Fe⁰) as the main body. In order to explore the specification and dosage of each matrix component of immobilized particle, a series of single factor tests and orthogonal tests were carried out to determine the optimal ratio of each matrix component. The results shows that when the SRB quality additive percentage was 30%, the nano-Fe0 dosage was 4%, the corn cob particle size was 60 mesh and the dosage was 3%, the SO₄<SUP>2-</SUP>, Cr<SUP>6+</SUP> and Cr<SUP>3+</SUP> removal rates were 82.99%, 99.78% and 38.78%, respectively, the TFe and COD release rates were 4.26 ㎎·L<SUP>-1</SUP> and 1,033.4 ㎎·L<SUP>-1</SUP>, respectively, and the pH value was 8.04, and the treatment effect was the best.

Isolation and Identification of Lactic Acid Bacteria from Traditional Dairy Products in Baotou and Bayannur of Midwestern Inner Mongolia and q-PCR Analysis of Predominant Species

Wang, Dan,Liu, Wenjun,Ren, Yan,De, Liangliang,Zhang, Donglei,Yang, Yanrong,Bao, Qiuhua,Zhang, Heping,Menghe, Bilige Korean Society for Food Science of Animal Resource 2016 한국축산식품학회지 Vol.36 No.4

In this study, traditional culture method and 16S rRNA gene analysis were applied to reveal the composition and diversity of lactic acid bacteria (LAB) of fermented cow milk, huruud and urum from Baotou and Bayannur of midwestern Inner Mongolia. Also, the quantitative results of dominant LAB species in three different types of dairy products from Baotou and Bayannur were gained by quantitative polymerase chain reaction (q-PCR) technology. Two hundred and two LAB strains isolated from sixty-six samples were identified and classified into four genera, namely Enterococcus, Lactococcus, Lactobacillus, Leuconostoc, and twenty-one species and subspecies. From these isolates, Lactococcus lactis subsp. lactis (32.18%), Lactobacillus plantarum (12.38%) and Leuconosto mesenteroides (11.39%) were considered as the dominated LAB species under the condition of cultivating in MRS and M17 medium. And the q-PCR results revealed that the number of dominant species varied from samples to samples and from region to region. This study clearly shows the composition and diversity of LAB existing in fermented cow milk, huruud and urum, which could be considered as valuable resources for LAB isolation and further probiotic selection.

Research on E-commerce Consumer Behavior Prediction based on Rough Sets

Yanrong Zhang,Zhijie Zhao,Jing Yu,Kun Wang 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.4

To solve the traditional problem of knowledge acquisition bottleneck in e-commerce, an improved algorithm of attribute reduction based on discernibility matrix is proposed. The algorithm is used to attribute reduction for e-commerce consumer behavior prediction. With rule extraction model of rough sets, the rules of e-commerce consumer behavior prediction are acquired. Practical example of consumer behavior prediction shows that the proposed approach can be handled found knowledge effectively and can be converted the available rules easily. It has strong ability of fault tolerance and can improve the speed and quality of knowledge acquisition. The method has good practical value.

Isolation and Identification of Lactic Acid Bacteria from Traditional Dairy Products in Baotou and Bayannur of Midwestern Inner Mongolia and q-PCR Analysis of Predominant Species

Dan Wang,Wenjun Liu,Yan Ren,Liangliang De,Donglei Zhang,Yanrong Yang,Qiuhua Bao,Heping Zhang,Bilige Menghe 한국축산식품학회 2016 한국축산식품학회지 Vol.36 No.4

In this study, traditional culture method and 16S rRNA gene analysis were applied to reveal the composition and diversity of lactic acid bacteria (LAB) of fermented cow milk, huruud and urum from Baotou and Bayannur of midwestern Inner Mongolia. Also, the quantitative results of dominant LAB species in three different types of dairy products from Baotou and Bayannur were gained by quantitative polymerase chain reaction (q-PCR) technology. Two hundred and two LAB strains isolated from sixty-six samples were identified and classified into four genera, namely Enterococcus, Lactococcus, Lactobacillus, Leuconostoc, and twenty-one species and subspecies. From these isolates, Lactococcus lactis subsp. lactis (32.18%), Lactobacillus plantarum (12.38%) and Leuconosto mesenteroides (11.39%) were considered as the dominated LAB species under the condition of cultivating in MRS and M17 medium. And the q-PCR results revealed that the number of dominant species varied from samples to samples and from region to region. This study clearly shows the composition and diversity of LAB existing in fermented cow milk, huruud and urum, which could be considered as valuable resources for LAB isolation and further probiotic selection.

Combined Effects of High-pressure and Thermal Treatments on Lipid Oxidation and Enzymes in Pork

Yechuan Huang,Yanrong Wang,Zhaomin Wu,Feng Li 한국식품과학회 2016 Food Science and Biotechnology Vol.25 No.1

The relationship between lipid oxidation and related enzymes in pork during combined pressure-heat treatments was investigated. Minced pork was treated under a pressure range of 0.1- 750 MPa and a temperature range of 30-60oC for 20 min. Thiobarbituric acid-reactive substances (TBARS) values and activities of acid lipase (AL), neutral lipase (NL), phospholipase (PL), and lipoxygenase (LOX) in pork were evaluated. NL and LOX were completely inactivated at 600 MPa-50oC and 450 MPa-60oC, and AL at 600MPa-55oC. PL had the greatest stability and was completely inactivated at 600 MPa-60oC and 750 MPa-50oC. PL activity was strongly related to lipid oxidation caused by high pressure, followed by AL and LOX. TBARS values at 600 and 750 MPa were strongly related to the inactivation rate and the ratio of PL during treatment. PL was the most important enzyme related to lipid oxidation induced by pressure.

Effect of Front and Rear Rotor Stages on Aeroelasticity in Multi-Stage Environment

Xiaobo Zhang,Yanrong Wang,Xianghua Jiang,Zhizhong Fu 한국항공우주학회 2019 International Journal of Aeronautical and Space Sc Vol.20 No.1

An energy method based on the mixing-plane model and phase lagged boundary condition has been developed to estimate the flutter characteristics of rotor blades in multi-stage environment. The effects of front and rear rotor stages on the aerodynamic damping of the rotor blades have been investigated using this method. The results show that the mixing-plane model enables to consider the averaging effect of the other stages on the aeroelasticity of the checked rotor blades without having to perform the unsteady full annual multi-stage (FAMS) flow computations. Comparing with the isolated rotor blade, the upstream and downstream rotor stages have a significant influence on the aeroelasticity of the rotor blade with altering the intensity and location of the shock wave and separation flow region on suction surface. It is worth to point out that the neighbor rotor stages reduce the effect of the inter-blade phase angle (IBPA) on the aerodynamic damping. Moreover, the impact of the rear rotor stage on aerodynamic damping of the rotor blade is more remarkable than that of the front one. Compared to the measured data, the capability of this method used in the aeroelasticity assessment of a multi-stage turbomachine has been validated. Furthermore, the relationship between the aerodynamic damping and the motion of the shock wave has been revealed, which can assist the compressor design.