Corporate social responsibility disclosure and catering to investor sentiment in China

Sun, Weizhang,Zhao, Chunguang,Wang, Yaping,Cho, Charles H. Emerald (MCB UP ) 2018 MANAGEMENT DECISION Vol.56 No.9

Additive-assisted preferential crystallization of racemic component: A case of norvaline

Jie Sun,Yaping Wang,Zhenguo Gao,Junbo Gong,Weiwei Tang 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.110 No.-

Herein, we report a successful resolution of L-norvaline, a racemic compound system, performed near theeutectic composition by coupling preferential crystallization with tailor-made additives. The structures ofenantiomer and racemate were characterized by PXRD, DSC, and the enantiomeric purity were measuredby Chiral HPLC. The preferential crystallization process was designed and established from binary meltingphase diagram and ternary solution phase diagram. The effects of supersaturation, solution enantiomercomposition, and seed quantity on the preferential crystallization process were investigated. However, the significant improvements of enantiomeric purity and product yield were demonstratedby additive-assisted preferential crystallization approach using tailor-made additives. These additivesbearing similar structure motifs to norvaline a highly selective binding to the racemate rather than enantiomerand remarkably suppress nucleation of DL-norvaline, the key factor determining the resultantenantiomer purity and separation efficiency. The underly inhibition principle was revealed due to thecentrosymmetric packing of the racemate while the polarity of enantiomer leads to only partial or slightcrystallization suppression. The interesting inhibition mode by tailor-made additives is also believed tobe applicable for other racemic crystallization systems. Our established additive-assisted preferentialcrystallization has showed great potential in the development of separation technology and resolutionof enantiomer from racemic compounds.

Evaluation Model Queuing Task Scheduling Based on Hybrid Architecture Cloud Systems

Zeyu Sun,Yaping Li,Yangjie Cao,Yuanbo Li 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.6

The applications based on cloud computing platform usually need to use a number of computing resources and storage resources to completing computing tasks, so the fault-tolerant capability of system has become increasingly important. Aiming to solve this problem, an evaluation model of task scheduling is proposed based on cloud system (TSCS). TSCS can effectively model and simulate complex cloud systems due to its strong capabilities of quantitative evaluation and behavioral description resulting from combining the theoretical characteristics of queuing task theory and Petri net. The algorithm solves the problem that meeting customer service satisfaction and load balancing at the same time. In addition, consider single backup task status, for the failure of more than one processor at the same time, present the minimum cost of backup scheduling algorithm, the algorithm to solve the problem that require a lot of backup cost. Experimental results show that TSCS is able to effectively reflect the architecture characteristics of various cloud system at the perspectives of performance, service, etc., and highly simulated various kinds of dynamic service behaviors of cloud system, single workload and multi workloads shows that the proposed policy can finish the user’s queuing task scheduling before deadline as well as obtain approving cost efficient.

One-Step Synthesis and High Electrochemical Performance of Porous Fe3O4/Carbon Nanocomposites as Anodes for Lithium-Ion Batteries

Jianglin Xu,Yaping Zhu,Yan Sun,ANJIAN XIE 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.7

In this report, the porous Fe3O4/C nanocomposites were successfully synthesized by using ferrocene as raw material and dilute nitric acid as solvent via extremely convenient and low-cost one-step calcining method. The formation of porous structure resulted from the aggregation and assembly of numerous nanoparticles. The experimental results show that the crystallinities, morphologies and electrochemical performance of samples were affected by the calcining temperature and carbon content. As an anode for lithium-ion batteries (LIBs), the Fe3O4/C nanocomposites obtained at calcination temperature of 500 ℃ (Fe3O4/C-a500) exhibited remarkable initial specific discharge capacity of 1418 mA h g -1 and a reversible capacity retention of 721 mA h g -1 after 100 cycles at the current density of 100 mA g -1. The excellent properties can be attributed to the high theoretical capacity of Fe3O4, the high conductivity of carbon and especially the porous structure, which offered more sites for the storage and insertion of Li ions. Even at the current density of 1000 mA h g -1, the reversible capacity of Fe3O4/C-a500 can be up to 291 mA h g -1, indicating the prepared typical nanocomposite presented excellent electrochemical performances and lithium storage capacity, which may be a promising candidate as the anode material for LIBs.

A Deep Investigation of the Thermal Decomposition Process of Supported Silver Catalysts

Jun Jiang,Tianhao Xu,Yaping Li,Xiaodong Lei,Hui Zhang,D. G. Evans,Xiaoming Sun,Xue Duan 대한화학회 2014 Bulletin of the Korean Chemical Society Vol.35 No.6

A deep understanding of the metallic silver catalysts formation process on oxide support and the formation mechanism is of great scientific and practical meaning for exploring better catalyst preparing procedures. Herein the thermal decomposition process of supported silver catalyst with silver oxalate as the silver precursor in the presence of ethylenediamine and ethanolamine is carefully investigated by employing a variety of characterization techniques including thermal analysis, in situ diffuse reflectance infrared Fourier transform spectroscopy, scanning electron microscopy, and X-ray diffraction. The formation mechanism of supported silver particles was revealed. Results showed that formation of metallic silver begins at about 100 oC and activation process is essentially complete below 145 oC. Formation of silver was accompanied by decomposition of oxalate group and removal of organic amines. Catalytic performance tests using the epoxidation of ethylene as a probe reaction showed that rapid activation (for 5 minutes) at a relatively low temperature (170 oC) afforded materials with optimum catalytic performance, since higher activation temperatures and/or longer activation times resulted in sintering of the silver particles.

Research on the Error Detection Technology of Complex Parts based on Improved Bee Colony Algorithm

Jianghua Ge,Huihui Zhang,Yaping Wang,Xiulin Sui,Yongguo Sun 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.12

For Parts of complex structures with multiple characteristics, traditional methods are often difficult and inefficient, so the three-dimensional detection techniques have been developed. But the detection used for the complex structural components still get some problems, such as : it’s difficult to collect data of complex structural components in the data collection process, because of size is always limited ; features of parts retained difficultly in data processing; there are many iterations and calculations in the optimization algorithm of geometric error evaluation, and the search direction is blind. In this paper, the improved colony algorithm is used to get the cylindrical error by establishing the mathematical model with the point cloud data that has been processed. First, collect data acquisition of more structural parts with hand-held laser scanners; Secondly, denoise and streamline the raw point cloud collected before, and then make registration and alignment with the actual CAD model of part; Finally, according to the resultant point cloud data above, in accordance with the principle of minimum condition assessment, establish evaluation model of cylinder error based on improved bee colony algorithm. Experimental results show that for various structural parts, the precision of this detection method is high enough, and detecting speed is also fast.

Research on the Management Strategy of the Last Level Cache Sharing Multi-Core Processor

Yuhuai Wang,Huixi Zhang,Yaping Sun,Qihui Wang 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.5

Effective allocation of shared resources limited is a key problem for chip multiprocessors. As the processor core growth in the scale, multi thread for the shared resource limited system competition will become more intense, the performance of the system will also be more significant. In order to alleviate this problem, a fair and effective multi thread shared resources allocation scheduling algorithm is important. In all kinds of shared resources, the largest effect on the system performance is the shared cache and DRAM system. There are essential differences between the last level cache and a cache. The goal of a cache design is to provide fast data processor which requires high access speed. However, the object of the last level cache is to save data in the chip as much as possible, and the access speed requirements are not too high, it is more subject to the plate number of available transistors. Management level cache LRU strategy and its approximate algorithm are not applicable to the large capacity last level cache for traditional. It may cause destructive interference between threads, cache thrashing of stream media program lead, which will lead to a decline in the performance of processor. This paper focuses on the analysis of some hot problems of the last level cache management in the process of the large capacity of multi-core platform sharing, and puts forward the corresponding costs less.

Quantitative Simulation Severe Asian Dust Storm on 9-11 April 2006

Linna Zhao,Jianhua Sun,Yaping Shao 한국기상학회 2006 한국기상학회 학술대회 논문집 Vol.2006 No.-

A Deep Investigation of the Thermal Decomposition Process of Supported Silver Catalysts

Jiang, Jun,Xu, Tianhao,Li, Yaping,Lei, Xiaodong,Zhang, Hui,Evans, D.G.,Sun, Xiaoming,Duan, Xue Korean Chemical Society 2014 Bulletin of the Korean Chemical Society Vol.35 No.6

A deep understanding of the metallic silver catalysts formation process on oxide support and the formation mechanism is of great scientific and practical meaning for exploring better catalyst preparing procedures. Herein the thermal decomposition process of supported silver catalyst with silver oxalate as the silver precursor in the presence of ethylenediamine and ethanolamine is carefully investigated by employing a variety of characterization techniques including thermal analysis, in situ diffuse reflectance infrared Fourier transform spectroscopy, scanning electron microscopy, and X-ray diffraction. The formation mechanism of supported silver particles was revealed. Results showed that formation of metallic silver begins at about $100^{\circ}C$ and activation process is essentially complete below $145^{\circ}C$. Formation of silver was accompanied by decomposition of oxalate group and removal of organic amines. Catalytic performance tests using the epoxidation of ethylene as a probe reaction showed that rapid activation (for 5 minutes) at a relatively low temperature ($170^{\circ}C$) afforded materials with optimum catalytic performance, since higher activation temperatures and/or longer activation times resulted in sintering of the silver particles.

Load Forecasting Research of Power System Based on Fuzzy Sets Algorithm

Qihui Wang,Yuhuai Wang,Huixi Zhang,Yaping Sun 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.6

In this paper, adjust the system parameters back-propagation algorithm based on fuzzy similarity interval type proposed by the fuzzy rule base to streamline redundant fuzzy sets, we can also merge with the means to reduce the number of redundant fuzzy rules, then singular value decomposition method is preferred fuzzy rules. The algorithm can effectively eliminate the adverse effects caused by redundant fuzzy rule, which improve the interpretability of fuzzy rules to reduce the computational complexity of the fuzzy reasoning process, and to improve the approximation accuracy of the system. Based on the long-term and short-term load power load characteristics analysis, to identify the influence of the load itself changes and related factors, gray system theory, neural network model and chaotic time series methods, models and methods for forecasting power load range were research. Examples verified, interval prediction has better precision, demonstrate the effectiveness of the interval prediction algorithm, the research results can be used in power market analysis and forecasting systems, power system operation and provide scientific basis for management decisions.