{"title":"Computational Analysis of CpG Island Distribution in Human EEF1A2 Gene Encoding a Putative Oncoprotein Implicated in Ovarian and Breast Cancer","authors":"P. Dharmasaroja","doi":"10.1109/IACSIT-SC.2009.16","DOIUrl":"https://doi.org/10.1109/IACSIT-SC.2009.16","url":null,"abstract":"The tissue-specific translation elongation factor eEF1A2 was recently shown to be a potential oncoprotein that is over expressed in human ovarian and breast cancer. eEF1A2 encoded on chromosome 20 shares similar features to the near-ubiquitously expressed eEF1A1, a closely-related isoform encoded on chromosome 6. It is still unknown why the tissue-specific eEF1A2 should have oncogenic properties in tissues in which eEF1A1 is already present at high levels. Abnormal methylation of CpG islands can lead to changes in expression of genes resulting in cancer growth and metastasis. In the present study, recently-developed and more stringent criteria for CpG islands, as being a DNA sequence longer than 500 bp with a G + C content equal to or greater than 55% and observed CpG/expected CpG of 0.65, were used to analyze CpG islands distribution in EEF1A1 and EEF1A2. Under these criteria, two CpG islands were identified in EEF1A1: one with an Alu repeat located in the promoter region and one without Alus, which spanned exon 1 and exon 2 and overlapped the transcription start site. In contrast, three out of four CpG islands in EEF1A2 were located in the exonic regions (exons 3, 4, 7 and 8), and none of them overlapped the transcription start site. Differences in the number and distribution of CpG islands, including the presence or absence of Alu repeats, in EEF1A1 and EEF1A2 may explain their differential expressions in certain cancer cells.","PeriodicalId":286158,"journal":{"name":"2009 International Association of Computer Science and Information Technology - Spring Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129291347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Fatumo, E. Adebiyi, G. Schramm, R. Eils, R. Konig
{"title":"An in silico Approach to Detect Efficient Malaria Drug Targets to Combat the Malaria Resistance Problem","authors":"S. Fatumo, E. Adebiyi, G. Schramm, R. Eils, R. Konig","doi":"10.1109/IACSIT-SC.2009.128","DOIUrl":"https://doi.org/10.1109/IACSIT-SC.2009.128","url":null,"abstract":"Resistance to malaria drugs is a major challenging problem in most parts of the world especially in the African continent where about ninety per cent of malaria cases occur. As a response to this alarming problem, the World Health Organisation (W.H.O) recommends that all countries experiencing resistance to conventional monotherapies, such as chloroquine, amodiaquine or sulfadoxine–pyrimethamine, should use combination therapies [1]. Therefore there is a need to discover new drug targets that are able to target the malarial parasite at distinct pathways for an efficient malaria drug. In this paper, we presented a machine-learning tool which is able to identify novel drug targets from the metabolic network of Plasmodium falciparum. With our tool we identified among others 19 drug targets confirmed from literature which we analyzed further with a sophisticated gene expression analysis tool. Our data was clustered using common distance similarity measurements and hierarchical clustering to propose a profound combination of drug targets. Our result suggests that two or more enzymatic reactions from the list of our drug targets which span across about ten pathways (Table 2) could be combined to target at distinct time points in the parasite's intraerythrocytic developmental cycle to detect efficient malaria drug target combinations.","PeriodicalId":286158,"journal":{"name":"2009 International Association of Computer Science and Information Technology - Spring Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127256008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
W. Chih, Tsung-Ju Yang, Ling-Chu Huang, Che-Hao Hsu
{"title":"Customer Orientation Behaviors of Frontline Employees: Moderating Roles of Emotional Intelligence","authors":"W. Chih, Tsung-Ju Yang, Ling-Chu Huang, Che-Hao Hsu","doi":"10.1109/IACSIT-SC.2009.102","DOIUrl":"https://doi.org/10.1109/IACSIT-SC.2009.102","url":null,"abstract":"Customer orientation behavior of frontline employees is an important issue in service industries. This research investigates 520 frontline employees of six life insurance companies in Taiwan. The researchers examine the relationships among job satisfaction, job involvement, job stress and customer orientation behaviors. The moderating roles of emotional intelligence are discussed in depth. The results are as follows: First, both job satisfaction and job involvement positively influence customer orientation behaviors, and job stress negatively influences customer orientation behaviors. Second, emotional intelligence moderates the relationship between job stress and customer orientation behaviors.","PeriodicalId":286158,"journal":{"name":"2009 International Association of Computer Science and Information Technology - Spring Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131530792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of an Instrumented and Passive Exoskeleton for the Lower Limb Rehabilitation","authors":"Qiuhao Zhang, Kechao Tian, Hongche Guo","doi":"10.1109/IACSIT-SC.2009.78","DOIUrl":"https://doi.org/10.1109/IACSIT-SC.2009.78","url":null,"abstract":"In this paper we describe the design and evaluation of a passive lower limb assistive exoskeleton based on omnidirectional rehabilitation vehicle. According to the leg dynamics during assisted walking, we optimize the design parameters to make the lower limb obtain the most positive energy. We employ MACCEPA (mechanically adjustable compliance and controllable equilibrium position actuator) in design which generates the constant torque in knee joint. Experiments were performed on injured people and their results verify the system effect in reducing physical power.","PeriodicalId":286158,"journal":{"name":"2009 International Association of Computer Science and Information Technology - Spring Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123532681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Diagnosis of Hepatitis Diseases by Support Vector Machines and Artificial Neural Networks","authors":"M. Rouhani, M. M. Haghighi","doi":"10.1109/IACSIT-SC.2009.25","DOIUrl":"https://doi.org/10.1109/IACSIT-SC.2009.25","url":null,"abstract":"in this paper, we use Support Vector Machine (SVM) and artificial neural networks to diagnosis Hepatitis diseases. Furthermore, we use those networks to identify the type and the phase of disease. Considering the most important hepatitis cases leads us to six classes: hepatitis B (two phases), hepatitis C (two phases), non-viral hepatitis and no-hepatitis. For this purpose, we design various networks including RBF, GRNN, PNN, LVQ and SVM. The performance of each of them has studied and the best method is selected for each of classification tasks. The overall accuracy of diagnosis system is near 97%.","PeriodicalId":286158,"journal":{"name":"2009 International Association of Computer Science and Information Technology - Spring Conference","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115701138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Popa Ion, Dobrin Cosmin, C. Sebastian, Ciolac Camelia Elena, C. Eduard
{"title":"Model for Decision-Making in Business Strategy","authors":"Popa Ion, Dobrin Cosmin, C. Sebastian, Ciolac Camelia Elena, C. Eduard","doi":"10.1109/IACSIT-SC.2009.136","DOIUrl":"https://doi.org/10.1109/IACSIT-SC.2009.136","url":null,"abstract":"Decisions, and especially the strategic decisions, represent the main „products’ of managerial process, representing the main responsibility of managers. The present model represents our view of decisional process designed to be a tool for managers in strategic decision making process. Developed at an enterprise level, the model takes into account the major factors that affect a strategy’s success on a market: The market share of the company on that specific market; The competitors’ force on the market; The market’s dynamics; The market’s attraction.","PeriodicalId":286158,"journal":{"name":"2009 International Association of Computer Science and Information Technology - Spring Conference","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115933261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Value of Contract Flexibility on Supply Chain Coordination with Alternative Criteria","authors":"Yu Tian, Shao-chao Sun, Yanxue Gong","doi":"10.1109/IACSIT-SC.2009.77","DOIUrl":"https://doi.org/10.1109/IACSIT-SC.2009.77","url":null,"abstract":"Coordination issue becomes one of the main concerns of research on supply chains. The supply chain model is established involving a retailer with two alternative decision-making criteria: expected profit maximization and probability maximization of target profit. The interactive dynamics under two contracts: wholesale pricing and two-part tariff pricing, is characterized such that the equilibrium solutions are derived. Combined with numerical examples, the value of contract flexibility is investigated upon supply chain coordination and how it changes with decision-making criteria is considered. The results indicate that contract flexibility is one of accesses to coordinating strategies. However, the value is not identical that the difficulty is higher with probability of target profit case.","PeriodicalId":286158,"journal":{"name":"2009 International Association of Computer Science and Information Technology - Spring Conference","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114589832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"High Level Net Model for Analyzing Agent Base Distributed Decision Support System","authors":"B. Sarkar, N. Chaki","doi":"10.1109/IACSIT-SC.2009.131","DOIUrl":"https://doi.org/10.1109/IACSIT-SC.2009.131","url":null,"abstract":"Agents are processes which work as autonomous entities or with other agents. To execute some processes at different location, a distributed application has to be executed at those places. Workflow is a heterogeneous and distributed information system used to describe process flow. A Petri net is a tool to model the interaction between various sub processes of a workflow system at the conceptual level. Product ordering process in the E-Commerce domain is distributed geographically over dispersed business partners. The reliability of the centralized system can’t be guaranteed since there can be single point of failure. The performance is degraded when there are too many process instances to handle. In this paper to negotiate the system dynamics of a high-level net model is presented to support distributed decision making by describing how consistently the distributed workflow transactions are executed and its recoverability from multiple resiliency.","PeriodicalId":286158,"journal":{"name":"2009 International Association of Computer Science and Information Technology - Spring Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125307985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cardiac Motion Evaluation for Disease Diagnosis Using ICA Basis Neural Network","authors":"M. Mansoory, M. Ashtiyani, H. N.","doi":"10.1109/IACSIT-SC.2009.117","DOIUrl":"https://doi.org/10.1109/IACSIT-SC.2009.117","url":null,"abstract":"In this paper, we used ICA based artificial neural network (ANN) and propose a robust technique for efficient 2D echocardiography image analyzing.This project can be divided in three parts. The first part is cardiac motion estimation from sequence of echocardiography. The second part is feature extraction from motion patterns using sources, these sources is derived from Independent Component Analyzing (ICA) algorithm. The third part is the classification of normal and abnormal myocardial function using neural network.","PeriodicalId":286158,"journal":{"name":"2009 International Association of Computer Science and Information Technology - Spring Conference","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114162128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Salha M. Alzahrani, N. Salim, Mohammed M. Alsofyani
{"title":"Work in Progress: Developing Arabic Plagiarism Detection Tool for E-Learning Systems","authors":"Salha M. Alzahrani, N. Salim, Mohammed M. Alsofyani","doi":"10.1109/IACSIT-SC.2009.22","DOIUrl":"https://doi.org/10.1109/IACSIT-SC.2009.22","url":null,"abstract":"E-Learning systems in Arab countries necessitate technology for the purpose of detecting plagiarism in Arabic. Although search engines such as Google can be utilized, there would be tedious efforts to copy some sentences and paste them into the search engine to find similar resources. For that reason, developing Arabic plagiarism detection tool for e-learning systems facilitate and accelerate the process since plagiarism can be detected and highlighted automatically and one only needs to submit the document to the system. Therefore, this paper presents, possibly for the first time, an effective web-enabled tool for Arabic plagiarism detection that can be integrated with e-learning systems to judge students' assignments, papers and dissertations.","PeriodicalId":286158,"journal":{"name":"2009 International Association of Computer Science and Information Technology - Spring Conference","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125580646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}