Preparation and electrochemical performance of cellular structure Ni(OH)2 thin film

Wanli Jiao,Lei Zhang 한국물리학회 2016 Current Applied Physics Vol.16 No.2

Cellular structure Nickel Hydroxide Ni(OH)2 thin film grown on indium-tin oxide (ITO) substrate was synthesized by a two-step hydrothermal method. The crystal structure and morphology of Ni(OH)2 thin film was investigated by means of X-ray diffraction (XRD) and scanning electron microscopy (SEM), respectively. The electrochemical performance was investigated by a cyclic voltammetry (CV) method. The results indicated that the thin film consisted of plate-like b-Ni(OH)2 grains growing on the substrate vertically and connecting each other to form a kind of multilayer cellular structure, which formed a large number of stable three-dimension pores and facilitated electrolyte diffusion and penetration to the inside of thin film. Thus, the specific capacitance of Ni(OH)2 thin film capacitor was 980 F/g at a low scan rate of 10 mV/s; and the better reversibility and stability indicated that the cellular structure Ni(OH)2 thin film should be a kind of promising capacitor electrode material.

Predicting Non Performing Loan of Business Bank with Data Mining Techniques

Wan Jie,Yue Zeng-lei,Yang Dong-hui,ZhangYu,Liu Jiao,Liu Zhi,Liu Jinfu 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.12

The non-performing loans (NPL) prediction plays an important role in business bank. However, there is still a large gap between the requirement of prediction performance and current techniques. In this paper data mining approaches is used to predict the NPL. Both macroeconomic and bank-specific variables are collected to form the feature set firstly. Based on selected features, the study firstly applies single basic classifiers such as decision tree, k nearest neighbors and support vector machine (SVM) to model the problem of NPL. Bagging and AdaBoost are described in this paper as two different method of multiple classifier fusion, to build prediction models. In this experiment, non-performing loans data with 96 features and 10415 instances of a business bank is collected. F-mean and The Area under the ROC Curve (AUC) are considered as metrics of classification. The results illustrate that multiple classifier fusion algorithms outperform single basic classifier. The model built by multiple classifiers fusion can produce better prediction results. Furthermore, the AdaBoost method performs much better than bagging method in processing NPL.

Dynamic Cloud Resource Reservation Model Based on Trust

( Jiao-hong Qiang ),( Ding-wan Ning ),( Tian-jun Feng ),( Li-wei Ping ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.2

Aiming at the problem of service reliability in resource reservation in cloud computing environments, a model of dynamic cloud resource reservation based on trust is proposed. A domain-specific cloud management architecture is designed in which resources are divided into different management domains according to the types of service for easier management. A dynamic resource reservation mechanism (DRRM) is used to test users’ reservation requests and reserve resources for users. According to user preference, several resources are chosen to be candidate resources by fuzzy cluster analysis. The fuzzy evaluation method and a two-way trust evaluation mechanism are adopted to improve the availability and credibility of the model. An analysis and simulation experiments show that this model can increase the flexibility of resource reservation and improve user satisfaction.

Increases in solar conversion efficiencies of the ZrO ₂ nanofiber-doped TiO ₂ photoelectrode for dye-sensitized solar cells

Wang, Jiao,Jin, En Mei,Park, Ju-Young,Wang, Wan Lin,Zhao, Xing Guan,Gu, Hal-Bon Springer 2012 NANOSCALE RESEARCH LETTERS Vol.7 No.1

<P>In this paper, in order to improve the efficiency of dye-sensitized solar cells, we introduced zirconia [ZrO<SUB>2</SUB>] nanofibers into a mesoporous titania [TiO<SUB>2</SUB>] photoelectrode. The photoelectrode consists of a few weight percent of ZrO<SUB>2 </SUB>nanofibers and a mesoporous TiO<SUB>2 </SUB>powder. The mixed ZrO<SUB>2 </SUB>nanofibers and the mesoporous TiO<SUB>2 </SUB>powder possessed a larger surface area than the corresponding mesoporous TiO<SUB>2 </SUB>powder. The optimum ratio of the ZrO<SUB>2 </SUB>nanofiber was 5 wt.%. The 5 wt.% ZrO<SUB>2</SUB>-mixed device could get a short-circuit photocurrent density of 15.9 mA/cm<SUP>2</SUP>, an open-circuit photovoltage of 0.69 V, a fill factor of 0.60, and a light-to-electricity conversion efficiency of 6.5% under irradiation of AM 1.5 (100 mW/cm<SUP>2</SUP>).</P>

Service Oriented Cloud Computing Trusted Evaluation Model

( Hongqiang Jiao ),( Xinxin Wang ),( Wanning Ding ) 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.6

More and more cloud computing services are being applied in various fields; however, it is difficult for users and cloud computing service platforms to establish trust among each other. The trust value cannot be measured accurately or effectively. To solve this problem, we design a service-oriented cloud trust assessment model using a cloud model. We also design a subjective preference weight allocation (SPWA) algorithm. A flexible weight model is advanced by combining SPWA with the entropy method. Aiming at the fuzziness and subjectivity of trust, the cloud model is used to measure the trust value of various cloud computing services. The SPWA algorithm is used to integrate each evaluation result to obtain the trust evaluation value of the entire cloud service provider.

Dynamic Cloud Resource Reservation Model Based on Trust

Qiang, Jiao-Hong,Ning, Ding-Wan,Feng, Tian-Jun,Ping, Li-Wei Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.2

Aiming at the problem of service reliability in resource reservation in cloud computing environments, a model of dynamic cloud resource reservation based on trust is proposed. A domain-specific cloud management architecture is designed in which resources are divided into different management domains according to the types of service for easier management. A dynamic resource reservation mechanism (DRRM) is used to test users' reservation requests and reserve resources for users. According to user preference, several resources are chosen to be candidate resources by fuzzy cluster analysis. The fuzzy evaluation method and a two-way trust evaluation mechanism are adopted to improve the availability and credibility of the model. An analysis and simulation experiments show that this model can increase the flexibility of resource reservation and improve user satisfaction.

Exploring the Development of E-commerce for Fresh agricultural Products under the Background of E-commerce Law

Yan-Jiao Wan,Zhi-Chun Yu 한국인터넷전자상거래학회 2020 인터넷전자상거래연구 Vol.20 No.6

E-commerce of fresh agricultural products has received China’s attention in recent years. The e-commerce law effectively guides and promotes the e-commerce of fresh agricultural products to develop in a healthy and sustainable direction. The "E-commerce Law" ended the cruel development of new e-commerce, clearly regulated e-commerce behavior and protected the rights and interests of consumers, which was a milestone. China’s fresh agricultural products e-commerce started later than e-commerce. It started in 2005 and developed steadily in 2012, and the pressure it faces in 2020 will increase. Relying on China’s unique huge consumer market and government attention and support, big data is expected to increase the growth rate of global fresh agricultural e-commerce. This paper explores the development of e-commerce for fresh agricultural products in the context of e-commerce law. Within the scope of the e-commerce law, the sustainable development of e-commerce for fresh agricultural products requires the realization of small-scale e-commerce and strengthen the cold chain logistics capabilities of fresh agricultural products e-commerce companies, improve production standardization and intensification, provide a basis for large-scale fresh agricultural product e-commerce procurement, effectively reduce the loss of fresh agricultural products circulation, and make fresh agricultural products much fresher.

Supply Chain Trust Evaluation Model Based on Improved Chain Iteration Method

( Hongqiang Jiao ),( Wanning Ding ),( Xinxin Wang ) 한국정보처리학회 2021 Journal of information processing systems Vol.17 No.1

The modern market is highly competitive. It has progressed from traditional competition between enterprises to competition between supply chains. To ensure that enterprise can form the best strategy consistently, it is necessary to evaluate the trust of other enterprises in the supply chain. First, this paper analyzes the background and significance of supply chain trust research, analyzes and expounds on the qualitative and quantitative methods of supply chain trust evaluation, and summarizes the research in this field. Analytic hierarchy process (AHP) is the most frequently used method in the literature to evaluate and rank criteria through data analysis. However, the input data for AHP analysis is based on human judgment, and hence there is every possibility that the data may be vague to some extent. Therefore, in view of the above problems, this study improves the global trust method based on chain iteration. The improved global trust evaluation method based on chain iteration is more flexible and practical, hence, it can more accurately evaluate supply chain trust. Finally, combined with an actual case of Zhaoxian Chengji Food Co. Ltd., the paper qualitatively analyzes the current situation of supply chain trust management and effectively strengthens the supervision of enterprises to cooperative enterprises. Thus, the company can identify problems on time and strategic adjustments can be implemented accordingly. The effectiveness of the evaluation method proposed in this paper is demonstrated through a quantitative evaluation of its trust in downstream enterprise A. Results suggest that the subjective preferences of and historical transactions together affect the final evaluation of trust.

Synthesis and gas sensing properties of high porosity n-type nickel ferrite thin film assisted by altering magnetic field

Lei Zhang,Wanli Jiao 한국물리학회 2015 Current Applied Physics Vol.15 No.7

NiFe2O4 thin film with high porosity based gas sensors had been prepared and their microstructure and gas sensing property were investigated. The sensing layer, consisted of perpendicular overlapped NiFe2O4 chains which were induced by altering magnetic field to self-assemble, had high porosity. The phase character and porous microstructure were characterized by X-ray diffraction (XRD) and a polarizing optical microscopy. The gas sensing tests results indicated that the sensor presented a high sensitivity to NH3 at 150 ℃, and was selective to NH3 below 200 ℃. The large porosity microstructure should benefit the reaction between target gas and sensing material and the detection of low concentration gas at low working temperature. In repeatability tests, the response and recovery time values had only narrow fluctuations.

Assessment of the Cytotoxic and Apoptotic Effects of Chaetominine in a Human Leukemia Cell Line

Jing-Yun Yao,Ruihua Jiao,Changqing Liu,Yupeng Zhang,Wan-Guo Yu,Yan-Hua Lu,Renxiang Tan 한국응용약물학회 2016 Biomolecules & Therapeutics(구 응용약물학회지) Vol.24 No.2

Chaetominine is a quinazoline alkaloid originating from the endophytic fungus Aspergillus fumigatus CY018. In this study, we showed evidence that chaetominine has cytotoxic and apoptotic effects on human leukemia K562 cells and investigated the pathway involved in chaetominine-induced apoptosis in detail. Chaetominine inhibited K562 cell growth, with an IC50 value of 35 nM, but showed little inhibitory effect on the growth of human peripheral blood mononuclear cells. The high apoptosis rates, morphological apoptotic features, and DNA fragmentation caused by chaetominine indicated that the cytotoxicity was partially caused by its pro-apoptotic effect. Under chaetominine treatment, the Bax/Bcl-2 ratio was upregulated (from 0.3 to 8), which was followed by a decrease in mitochondrial membrane potential, release of cytochrome c from mitochondria into the cytosol, and stimulation of Apaf-1. Furthermore, activation of caspase-9 and caspase-3, which are the main executers of the apoptotic process, was observed. These results demonstrated that chaetominine induced cell apoptosis via the mitochondrial pathway. Chaetominine inhibited K562 cell growth and induced apoptotic cell death through the intrinsic pathway, which suggests that chaetominine might be a promising therapeutic for leukemia.