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Endothelial Nitric Oxide Synthase Gene Polymorphism and Risk of Coronary Artery Diseases in Egypt

Endothelial Nitric Oxide Synthase Gene Polymorphism and Risk...

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作者： Hala Mostafa Somaia Zaki Rizk Elbaz Ahmed Abd El-Fattah Zoology Department Faculty of ScienceZagazig University Biochemistry-Genetics Unit Faculty of MedicineMansoura University

the present study aimed to investigate the association of endothelial nitric oxide synthase gene polymorphism with susceptipility and severity of coronary artery diseases(CAD) in Egyptian cases. the study included 100 cases from intensive care units(ICU) of Cardiology Department of Internal Medicine, University Hospital, as well as Ministry of Health Hospitals of Dakahlia(Mansoura University Hospital) & Gharbia(Elmehalla Heart Center) governorates,divided into 50 patients with coronary artery diseases and 50 healthy as *** mean age of cases was 57.28±11.51, including 40 males and 10 *** samples were collected in tubes for biochemical analysis(5 ml) from each case {Hb concentration, ***, AST, ALT, creatinine, cholesterol, TG, LDL, HDL, LDH}. DNA was amplified using PCR-SSP for detection of relation between polymorphism and endothelial nitric oxide synthase gene in three parts G894 T, T786 C and 27 bP. All cases showed significant differences between cases and controls regarding their chemical lab's analysis {Hb concentration,W.B.C.s, AST, ALT, creatinine, cholesterol, TG, LDL, HDL, LDH}.All cases showed significant frequency of G894 T GG(p> 0.05,OR =0.49) and G894 T TT(p=0.001,OR =0.37). Also there were significant frequency of T786 C TT(p>0.05, OR=0.57).C786 T CC(P=0.004,0 R=4.58),and there were no significant frequency of 27 bp aa(p=0.032,OR=2.891),27 bp bb(p>0.05, OR =1.86). these were considered risk genotypes for diseases susceptibility. On the other hand all cases showed no significant frequency with combined heterozygosity for G894 T GT(P>0.05, OR=0.67) or C786 T CT(P>0.05,OR =0.72) or 27 bp ab(p=0.001, OR=0.25). So, endothelial nitric oxide synthase gene polymorphism in G894 T andT786 C can be considered genetic markers for coronary artery diseases among Egyptian cases.

关键词： coronary artery disease risk factors polymorphism gene endothelial nitric oxide synthase

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Cloud based mobi-context hybrid framework for venue recommendation 7

Cloud based mobi-context hybrid framework for venue recommen...

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7th international conference on advances in Computing, Control, and Telecommunication Technologies, ACT 2016

作者： Timmapur, Shruti. I. Math, M.M. KLS Gogate Institute of Technology Belagavi Vishweshwarayya Technology University Karnataka India Computer Science and Engineering KLS Gogate Institute of Technology Belagavi Karnataka India

Recently, suggestion frameworks have seen important development in the field of information designing. A large portion of the current proposal frameworks construct their models in light of collaborative filtering approaches that make them easy to actualize. Even though, there are many filtering techniques but execution of the existing filtering based proposal framework suffers from difficulties such as cold start, data sparseness, and availability. Proposal issue is regularly characterized by the nearness of numerous incompatible goals or choice variables, for example, clients' preference and venue closeness. Mobi-Context is a hybrid cloud-based Bi-Objective Recommendation Framework is proposed for versatile informal organizations. the Mobi-Context uses multi-target optimization techniques to produce customized proposals. To give solution for the issues relating to cold start and data sparseness condition, the BORF performs information preprocessing by utilizing the Hub-Average (HA) inference model and Weighted Sum Approach (WSA) is actualized for scalar optimization and NSGA-II is connected for vector optimization to give ideal recommendations to the clients around a venue.

关键词： Collaborative filtering

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Opinion classification based information credibilty analysis system 7

Opinion classification based information credibilty analysis...

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7th international conference on advances in Computing, Control, and Telecommunication Technologies, ACT 2016

作者： Najeeb, Nasiya.C. Jamal, Sangeetha Department of Computer Science and Engineering Rajagiri School of Engineering and Technology Kochi India

Social media is currently a place where massive data is generated continuously. Nowadays, majority of the people share their opinions online. Hence, microblogging websites are rich sources of information which have been successfully leveraged for the analysis of sociopragmatic phenomena such as belief, opinion and sentiment in online communication. However, the unprecedented existence of such massive data acts as a double edged sword, one can easily get unreliable information from such sources,and it is a challenge to control the spread of false information either maliciously or even inadvertently. the information seeker is inundated with an influx of data. To cope with this , here we introduce a new method for automatically determining the opinion and to assess the credibility of the information. To identify an opinion (positive or negative) about a review, sentiment analysis is performed using Bing Liu's dictionary and to improve the accuracy of sentiment classification incrementers, decrementers and negation modifiers are considered. For assessing credibility a new method , "Automatic Helpfulness Classification", is introduced. the effects are proven by experiments using a large number of reviews and the accuracy obtained is more compared to existing methods.

关键词： Classification (of information)

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Multi level privacy preserving in medical data publishing 7

Multi level privacy preserving in medical data publishing

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7th international conference on advances in Computing, Control, and Telecommunication Technologies, ACT 2016

作者： Sali, Neera K. thomas, Diya Department of Computer Science and Engineering Rajagiri School of Engineering and Technology Kochi India

Privacy preserving data publishing(PPDF)is an emerging technology in the datamining field which performs datamining operations in a secured manner to preserve the confidential/sensitive information. Preserving privacy while publishing medical information has become an important challenge in this area due to its high confidentiality. While publishing medical data the PPDF scheme should maximize the data utility at the same time should have a minimum data disclosure risk. this paper concerned with privacy of medical data while publishing the patient information for research or analysis purposes. K-anonymity and l-diversity are the most popular techniques used for preserving privacy. these techniques does not consider the semantic relationship between the data values so they are prone to similarity attack .In this paper, we present a privacy-preserving data publishing framework for publishing large datasets with the goals of providing different levels of utility to the users based on their access privileges. the proposed system overcome the similarity attack by applying a privacy preservation approach which uses a key attribute masking technique and an anonymization *** results showed that the semantic anonymization increases the privacy level with effective data utility.

关键词： Semantics

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Advanced Computational Methods for Knowledge Engineering: Proceedings of the 4th international conference on computer science, Applied Mathematics and Applications, ICCSAMA 2016, 2-3 May, 2016, Vienna, Austria 1

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丛书名： advances in Intelligent Systems and Computing

2016年

作者： thanh Binh Nguyen, Tien van Do, Hoai An Le thi, Ngoc thanh Nguyen (eds.)

ISBN: (数字)9783319388847

ISBN: (纸本)9783319388830;9783319388847

this proceedings consists of 20 papers which have been selected and invited from the submissions to the 4th international conference on computer science, Applied Mathematics and Applications (ICCSAMA 2016) held on 2-3 May, 2016 in Laxenburg, Austria. the conference is organized into 5 sessions: Advanced Optimization Methods and their Applications, Models for ICT applications, Topics on discrete mathematics, Data Analytic Methods and Applications and Feature Extractio, respectively. All chapters in the book discuss theoretical and practical issues connected with computational methods and optimization methods for knowledge engineering. the editors hope that this volume can be useful for graduate and Ph.D. students and researchers in Applied sciences, computer science and Applied Mathematics.

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advances in computer science and Ubiquitous Computing: CSA & CUTE

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2016年

作者： Doosoon Park Han Chieh Chao Youngsik Jeong James J (Jong Hyuk) Park

ISBN: (纸本)9789811002809

this book presents the combined proceedings of the 7th international conference on computer science and its Applications (CSA-15) and the international conference on Ubiquitous Information Technologies and Applications (CUTE 2015), both held in Cebu, Philippines, December 15 - 17, 2015. the aim of these two meetings was to promote discussion and interaction among academics, researchers and professionals in the field of computer science covering topics including mobile computing, security and trust management, multimedia systems and devices, networks and communications, databases and data mining, andubiquitous computing technologies such as ubiquitous communication and networking, ubiquitous software technology, ubiquitous systems and applications, security and privacy. these proceedings reflect the state-of-the-art in the development of computational methods, numerical simulations, error and uncertainty analysis and novel applications of new processing techniques in engineering, science, and other disciplines related to computer science.

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the gyrokinetic particle simulation of fusion plasmas on tianhe-2 supercomputer 7

The gyrokinetic particle simulation of fusion plasmas on tia...

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7th Workshop on Latest advances in Scalable Algorithms for Large-Scale Systems, ScalA 2016

作者： Wang, Endong Wu, Shaohua Zhang, Qing Liu, Jun Zhang, Wenlu Lin, Zhihong Lu, Yutong Du, Yunfei Zhu, Xiaoqian State Key Laboratory of High-end Server and Storage Technology InspurJinan China Institute of Physics Chinese Academy of Science Beijing China Department of Physics and Astronomy University of California IrvineCA United States Fusion Simulation Center Peking University Beijing China School of Computer Science National University of Defense Technology Changsha China National Supercomputer Center in Guangzhou Sun Yat-sen University Guang Zhou China Academy of Ocean Science and Engineering National University of Defense Technology Changsha China

ISBN: (纸本)9781509052226

We present novel optimizations of the fusion plasmas simulation code, GTC on Tianhe-2 supercomputer. the simulation exhibits excellent weak scalability up to 3072 31S1P Xeon Phi co-processors. An unprecedented up to 5.8× performance improvement is achieved for the GTC on Tianhe-2. An efficient particle exchanging algorithm is developed that simplifies the original iterative scheme to a direct implementation, which leads to a 7.9× performance improvement in terms of MPI communications on 1024 nodes of Tianhe-2. A customized particle sorting algorithm is presented that delivers a 2.0× performance improvement on the co-processor for the kernel relating to the particle computing. A smart offload algorithm that minimizes the data exchange between host and co-processor is introduced. Other optimizations like the loop fusion and vectorization are also presented. © 2016 IEEE.

关键词： Scalability

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Human Language Technologies – the Baltic Perspective : Proceedings of the Seventh international conference Baltic HLT 2016

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丛书名： Frontiers in Artificial Intelligence and Applications, volume 289

2016年

作者： Skadina, Inguna IOS Press Rozis, Roberts

ISBN: (纸本)9781614997009;9781614997016

throughout the last decade, the Baltic states have played an active role in regional and international language technology activities, supporting less-resourced languages in the digital age. this book presents the proceedings of the 7th international conference: Human Language Technologies – the Baltic Perspective (Baltic HLT 2016), held in Riga, Latvia, in October 2016. Baltic HLT 2016 provided a forum for sharing ideas and recent advances in human language processing with a special focus on less-resourced languages. Papers selected for the conference cover a wide range of topics, including a general overview of language technology progress in the Baltic states, actual research topics in written and spoken language processing, the creation of language resources and their applications, and proposals for a European language platform. the book is divided into five sections: overview; speech technologies and corpora; machine translation; written language resources; and methods and tools for language processing. the book will be a useful resource, not only for Baltic language researchers, but also for those working with other less-resourced languages in Europe and beyond.

关键词： Natural language processing (computer science)--Congresses

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the Energy Saving technology of a Photovoltaic System's Control on the Basis of the Fuzzy Selective Neuronet

The Energy Saving Technology of a Photovoltaic System's Cont...

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7th international conference on Swarm Intelligence (ICSI)

作者： Engel, Ekaterina A. Kovalev, Igor V. Katanov State Univ Khakassia Shetinkina 61 Abakan 655017 Russia Siberian State Aerosp Univ Krasnoyarsky Rabochy Ave 31 Krasnoyarsk 660014 Russia

ISBN: (纸本)9783319410098;9783319410081

this paper presents the energy saving technology of a photovoltaic system's control. Based on the photovoltaic system's state, the fuzzy selective neural net creates an effective control signal under random perturbations. the architecture of the selective neural net was evolved using a neuro-evolutionary approach. the validity and advantages of the proposed energy saving technology of a photovoltaic system's control are demonstrated using numerical simulations. the simulation results show that the proposed technology achieves real-time control speed and competitive performance, as compared to a classical control scheme with a PID controller.

关键词： Fuzzy neural net Neuro-evolutionary approach Random perturbations Photovoltaic system

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Robot Indoor Navigation Based on computer Vision and Machine Learning

Robot Indoor Navigation Based on Computer Vision and Machine...

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7th international conference on Swarm Intelligence (ICSI)

作者： Mo, Hongwei Luo, Chaomin Liu, Kui Harbin Engn Univ Automat Coll Harbin 150001 Peoples R China Univ Detroit Mercy Dept Elect & Comp Engn Detroit MI 48208 USA Res Inst Marin Device Beijing 100000 Peoples R China

ISBN: (纸本)9783319410098;9783319410081

Autonomous navigation, as a fundamental problem of intelligent mobile robots' research, is the key technology of mobile robot to realize autonomous and intelligent. A method of combing computer vision and machine learning for the problem of robot indoor navigation is proposed in the paper. It realizes robot autonomous navigation through imitating the behavior of experts. through a camera to perceive environmental information, expert provides some examples of navigation for robot to learn and robot learns a control strategy based on these samples using imitation learning algorithm. When robot is running, the control strategy learned can infer a corresponding control command based on the current perception of environmental information. therefore, robot is able to mimic the behavior of expert to navigate autonomously.

关键词： Mobile robot Indoor navigation Imitation learning Visual feature extraction DA(GGER) algorithm

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