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Search Results: 1 - 10 of 133093 matches for " Kai Li "
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Research on the Application in Glazed Tile Heating of the Low-Carbon Catalytic Combustion Furnace of Natural Gas  [PDF]
Ran Li, Kai Fang
Journal of Applied Mathematics and Physics (JAMP) , 2015, DOI: 10.4236/jamp.2015.38124

This experiment aims to summarize the regular pattern of low-carbon catalytic combustion furnace of natural gas used in glazed tile heating. The tiles used for decorating which are heated by catalytic combustion furnace are more fine and glossy than the conventional ones, moreover, pollutant emission produced in productive process is much less than before. This conclusion may provide a new way to glazed tile heating industry, and at the same time, provide a general method of using the catalytic combustion furnace.

Application of Electrical Automation Technology in Power System  [PDF]
Kai Wang, Wanqing Li
Journal of Power and Energy Engineering (JPEE) , 2019, DOI: 10.4236/jpee.2019.75002
Abstract: With the continuous development and progress of science and technology in China, automation technology has occupied an important position in many fields while its application in power system is increasingly widespread. Therefore, the application of electrical automation technology in power system is of great significance for power supply stability and work efficiency. In this paper, the author analyzes the application of electric automation technology in power system and makes contributions to the sustainable and stable development of power enterprises.
A Monte Carlo Based Robustness Optimization Method in New Product Design Process: A Case Study  [PDF]
Jianguo Che, Jing Wang, Kai Li
American Journal of Industrial and Business Management (AJIBM) , 2014, DOI: 10.4236/ajibm.2014.47044

Monte Carlo method can analyze, solve and optimize many mathematical or physical problems through generating a large number of statistical random samples to simulating stochastic events. It also can be used to remarkably improve design quality of new product. In new product design process, setting distribution characteristics of the design variables is vital to product quality and production robustness. Firstly, response surface model between output characteristics and design variables in new product design is proposed, and the distribution characteristics of design variables and response output are analyzed; then position error model of response output and standard value and allowed error maximum is presented; and then the differences of position error model and allowed error maximum are counted, and reliability ratio is built and calculated, and design robustness of the new product is increased by adjusting the precision value of random design variables in Monte Carlo experiments. Finally, a case is brought forward to verify the validity of the method.

1D/3D Coupling Calculation Analysis on Bus Cooling System  [PDF]
Kai Shen, Feihong Li, Jimin Ni
Energy and Power Engineering (EPE) , 2014, DOI: 10.4236/epe.2014.614048
Abstract: Compared with front engine vehicle, the windward side’s flow field in cooling model of rear engine bus is complicated and it can’t be calculated by means of 1D model. For this problem, this paper has used Star-CCM to build a 3D simulation model of cooling system, engine compartment and complete vehicle. Then, it had a 1D/3D coupling calculation on cooling system with Kuli software. It could be helpful in the optimization design of the flow field of rear engine compartment and optimization match of cooling system.
Therapy Development for Spinal Muscular Atrophy in SMN Independent Targets
Li-Kai Tsai
Neural Plasticity , 2012, DOI: 10.1155/2012/456478
Abstract: Spinal muscular atrophy (SMA) is an autosomal recessive neurodegenerative disorder, leading to progressive muscle weakness, atrophy, and sometimes premature death. SMA is caused by mutation or deletion of the survival motor neuron-1 (SMN1) gene. An effective treatment does not presently exist. Since the severity of the SMA phenotype is inversely correlated with expression levels of SMN, the SMN-encoded protein, SMN is the most important therapeutic target for development of an effective treatment for SMA. In recent years, numerous SMN independent targets and therapeutic strategies have been demonstrated to have potential roles in SMA treatment. For example, some neurotrophic, antiapoptotic, and myotrophic factors are able to promote survival of motor neurons or improve muscle strength shown in SMA mouse models or clinical trials. Plastin-3, cpg15, and a Rho-kinase inhibitor regulate axonal dynamics and might reduce the influences of SMN depletion in disarrangement of neuromuscular junction. Stem cell transplantation in SMA model mice resulted in improvement of motor behaviors and extension of survival, likely from trophic support. Although most therapies are still under investigation, these nonclassical treatments might provide an adjunctive method for future SMA therapy. 1. Introduction Spinal muscular atrophy (SMA) is characterized by motor neuron degeneration with muscular atrophy, paralysis, and an attenuated lifespan [1]. The disease is the leading genetic cause of infantile mortality [2]. SMA exhibits an autosomal recessive pattern of inheritance with an incidence of 1 in 6,000–10,000 newborns and a carrier frequency of about 1?:?35 [2, 3]. Based on age of onset and achievement of motor milestones, SMA has been subdivided into four clinical types: severe (type I; Werdnig-Hoffmann disease), intermediate (type II), mild (type III; Kugelberg-Welander disease), and adult forms [4]. Most SMA patients harbor deletions, mutations, or conversions of the telomeric copy of the survival motor neuron gene (SMN1) [5, 6]. The centromeric SMN gene (SMN2) is present in all SMA patients, but is unable to compensate for the SMN1 gene defect as the primary transcript of SMN2 gene is defectively spliced [5, 6]. Currently, there are no curative therapies for SMA. Since there is an inverted correlation between the amount of SMN protein and disease severity [7, 8], SMN has been the most important therapeutic target for development of SMA treatment [9, 10]. However, some SMN independent targets and therapeutic strategies have been demonstrated to have the potential to
Finding combinatorial histone code by semi-supervised biclustering
Li Teng, Kai Tan
BMC Genomics , 2012, DOI: 10.1186/1471-2164-13-301
Abstract: We present the Semi-Supervised Coherent and Shifted Bicluster Identification algorithm (SS-CoSBI). It uses prior knowledge of combinatorial histone modifications to guide the biclustering process. Specifically, co-occurrence frequencies of histone modifications characterized by mass spectrometry are used as probabilistic priors to adjust the similarity measure in the biclustering process. Using a high-quality set of transcriptional enhancers and associated histone marks, we demonstrate that SS-CoSBI outperforms its predecessor by finding histone modification and genomic locus biclusters with higher enrichment of enhancers. We apply SS-CoSBI to identify multiple cell-type-specific combinatorial histone modification states associated with human enhancers. We show enhancer histone modification states are correlated with the expression of nearby genes. Further, we find that enhancers with the histone mark H3K4me1 have higher levels of DNA methylation and decreased expression of nearby genes, suggesting a functional interplay between H3K4me1 and DNA methylation that can modulate enhancer activities.The analysis presented here provides a systematic characterization of combinatorial histone codes of enhancers across three human cell types using a novel semi-supervised biclustering algorithm. As epigenomic maps accumulate, SS-CoSBI will become increasingly useful for understanding combinatorial chromatin modifications by taking advantage of existing knowledge.SS-CoSBI is implemented in C. The source code is freely available at http://www.healthcare.uiowa.edu/labs/tan/SS-CoSBI.gz webcite.
Adjusting the Currency Composition of China’s Foreign Exchange Reserve
Kai Shi,Li Nie
International Journal of Economics and Finance , 2012, DOI: 10.5539/ijef.v4n10p170
Abstract: During the sovereign debt crisis, the national credit of some developed economic entities has been degraded repeatedly. It is adjusting the currency composition of China’s foreign exchange reserve that becomes an important risk management tool. In this paper, we first make an analysis on possible currency composition of China’s foreign exchange reserve combining data from the Treasury International Capital System of United States with IMF Currency Composition of Official Foreign Exchange Reserve, and then discuss the currency composition of minimum variance risk within the framework of Mean-Variance Analysis. Afterwards, a dynamic adjusting route from the real composition to the optimal structure is built up through the dynamic optimization approach. It is found that converting dollar assets to yen assets according to the optimal schedule will lower the risk of foreign exchange reserve effectively.
The Effects of Handwritten Feedback on Paper and Tablet PC in Learning Japanese Writing
International Journal of Emerging Technologies in Learning (iJET) , 2007,
Abstract: This paper compares the effect of paper-basedhandwritten feedback (PBHF) and that of Tablet PC-basedhandwritten feedback (TBHF) in learning Japanese writing.The study contributes to the research on motivation,usability and presence when learners are given differentmedia-based handwritten error feedback. The resultsindicated that there was little difference in the effect of thetwo media on motivation and usability factors. However,PBHF showed a positive effect on presence factor thanTBHF. Also, there was little difference in proficiencyimprovement after the students reviewed different mediabased handwritten feedback. The results of this studysuggest that language teachers should not use ICT withtraditional strategies, but in an innovative way to improvetheir writing instruction and enhance learners’ writingproficiency.
Development and Evaluation of Gaze Tracking Integrated E-Learning Contents
Kai Li,Yurie Iribe
International Journal of Emerging Technologies in Learning (iJET) , 2011, DOI: 10.3991/ijet.v6i2.1599
Abstract: No learning could take place without input attention. In order to promote students’ attention in e-learning content, this study focuses on gaze tracking data as a kind of enhanced input. Gaze tracking integrated video and slide synchronized e-learning contents were developed and evaluated in the study. An eye mark is showed at e-learning contents to indicate where the teacher is explaining. A comparison survey is conducted. As a result, students’ learning attention is promoted with gaze tracking data in e-learning.
A Double Margin Based Fuzzy Support Vector Machine Algorithm
Kai Li,Xiaoxia Lu
Journal of Computers , 2011, DOI: 10.4304/jcp.6.9.1962-1970
Abstract: Although fuzzy support vector machine introduces the fuzzy membership degree in maximizing the margin and improves performance of classifier, it has not fully considered the position of training samples in the margin. In this paper, a double margin (rough margin) based fuzzy support vector machine (RFSVM) algorithm is presented by introducing rough set into fuzzy support vector machine. Firstly, we compute the degree of fuzzy membership of each training sample. Secondly, the data with fuzzy memberships are trained to obtain the decision hyperplane that maximizing rough margin method which contains the lower margin and the upper margin. In this algorithm, points in the lower margin have major penalty than those in the boundary in the rough margin. Finally, experiments on several benchmark datasets show that the RFSVM algorithm is very effective and feasible relative to the existing support vector machines.
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