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Abstracts from the 3rd International Genomic Medicine Conference (3rd IGMC 2015) : Jeddah, Kingdom of Saudi Arabia. 30 November - 3 December 2015

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BMC genomics 2016年第6期17 Suppl 6卷 487页

作者： Jerry W. Shay Noriko Homma Ruyun Zhou Muhammad Imran Naseer Adeel G. Chaudhary Mohammed Al-Qahtani Nobutaka Hirokawa Maryam Goudarzi Albert J. Fornace Saleh Baeesa Deema Hussain Mohammed Bangash Fahad Alghamdi Hans-Juergen Schulten Angel Carracedo Ishaq Khan Hanadi Qashqari Nawal Madkhali Mohamad Saka Kulvinder S. Saini Awatif Jamal Jaudah Al-Maghrabi Adel Abuzenadah Adeel Chaudhary Mohammed Al Qahtani Ghazi Damanhouri Heba Alkhatabi Anne Goodeve Laura Crookes Nikolas Niksic Nicholas Beauchamp Adel M. Abuzenadah Jim Vaught Bruce Budowle Mourad Assidi Abdelbaset Buhmeida Leena Merdad Sudhir Kumar Sayaka Miura Karen Gomez Mahmood Rasool Ahmed Rebai Sajjad Karim Hend F. Nour Eldin Heba Abusamra Elham M. Alhathli Nada Salem Mohammed H. Al-Qahtani Hossam Faheem Ashok Agarwa Eberhard Nieschlag Joachim Wistuba Oliver S. Damm Mohd A. Beg Taha A. Abdel-Meguid Hisham A. Mosli Osama S. Bajouh Serdar Coskun Muhammad Abu-Elmagd Ashraf Dallol Sahar Hakamy Wejdan Al-Qahtani Asia Al-Harbi Shireen Hussain Burak Ozkosem Rick DuBois Safia S. Messaoudi Maryam T. Dandana Touhami Mahjoub Wassim Y. Almawi S. Abdalla M. Nabil Al-Aama Asmaa Elzawahry Tsuyoshi Takahashi Sachiyo Mimaki Eisaku Furukawa Rie Nakatsuka Isao Kurosaka Takahiko Nishigaki Hiromi Nakamura Satoshi Serada Tetsuji Naka Seiichi Hirota Tatsuhiro Shibata Katsuya Tsuchihara Toshirou Nishida Mamoru Kato Sajid Mehmood Naeem Mahmood Ashraf Awais Asif Muhammad Bilal Malik Siddique Mehmood Aadil Hussain Qazi Mohammad Sajid Jamal Mughees Uddin Siddiqui Mohammad A. Alzohairy Mohammad A. Al Karaawi Taoufik Nedjadi Heba Al-Khattabi Adel Al-Ammari Ahmed Al-Sayyad Hédia Zitouni Nozha Raguema Marwa Ben Ali Wided Malah Raja Lfalah Wassim Almawi Mohammed Elanbari Andrey Ptitsyn Sana Mahjoub Rabeb El Ghali Bechir Achour Nidhal Ben Amor Brahim N’siri Hamid Morjani Esam Azhar Vera Chayeb Maryam Dendena Hedia Zitouni Khedija Zouari-Limayem Bassem Refaat Ahmed M. Ashshi Sarah A. Batwa Hazem Ramadan Amal Awad Ahmed Ateya Adel Galal Ahmed El-Shemi Ahmad Ashshi Mohammed Basalamah Youjin Na Cha University of Texas Southwestern Medical Center Dallas USA Department of Cell Biology and Anatomy Graduate School of Medicine the University of Tokyo Tokyo Japan Center of Excellence in Genomic Medicine Research King Abdulaziz University Jeddah Saudi Arabia Department of Biochemistry and Molecular & Cellular Biology Lombardi Comprehensive Cancer Center Georgetown University Washington USA Department of Oncology Lombardi Comprehensive Cancer Center Georgetown University Washington USA Department of Radiation Medicine Lombardi Comprehensive Cancer Center Georgetown University Washington USA Center of Excellence in Genomic Medicine Research (CEGMR) King Abdulaziz University Jeddah Kingdom of Saudi Arabia King Fahd Medical Research Centre King Abdulaziz University Jeddah Saudi Arabia Centre of Excellence in Genomic Medicine Research King Abdulaziz University Jeddah Saudi Arabia Sheffield Diagnostic Genetic Service Sheffield Children’s NHS Foundation Trust Western Bank Sheffield UK Center of Innovations in Personalized Medicine King Abdulaziz University Jeddah Saudi Arabia President ISBER Editor-in-Chief Biopreservation & Biobanking ᅟ USA Institute of Applied Genetics Department of Molecular and Medical Genetics University of North Texas Health Science Center Fort Worth USA Department of Dental Public Health Faculty of Dentistry King Abdulaziz University Jeddah Saudi Arabia Institute for Genomics and Evolutionary Medicine Temple University Philadelphia USA Center of Excellence in Genomic Medicine King Abdulaziz University Jeddah Kingdom of Saudi Arabia Laboratory of Molecular and Cellular Screening Processes (Bioinformatics Group) Centre of Biotechnology of Sfax Sfax Tunisia Fujitsu Technology Solutions International ᅟ ᅟ Case Western Reserve University School of Medicine and Lerner College of Medicine Cleveland Clinic Foundation Cleveland USA American Center for Reproductive Medicine Andrology Center Cleveland USA Center for Reproductive Medicine and

O1 Regulation of genes by telomere length over long distances Jerry W. Shay O2 The microtubule destabilizer KIF2A regulates the postnatal establishment of neuronal circuits in addition to prenatal cell survival, cell migration, and axon elongation, and its loss leading to malformation of cortical development and severe epilepsy Noriko Homma, Ruyun Zhou, Muhammad Imran Naseer, Adeel G. Chaudhary, Mohammed Al-Qahtani, Nobutaka Hirokawa O3 Integration of metagenomics and metabolomics in gut microbiome research Maryam Goudarzi, Albert J. Fornace Jr. O4 A unique integrated system to discern pathogenesis of central nervous system tumors Saleh Baeesa, Deema Hussain, Mohammed Bangash, Fahad Alghamdi, Hans-Juergen Schulten, Angel Carracedo, Ishaq Khan, Hanadi Qashqari, Nawal Madkhali, Mohamad Saka, Kulvinder S. Saini, Awatif Jamal, Jaudah Al-Maghrabi, Adel Abuzenadah, Adeel Chaudhary, Mohammed Al Qahtani, Ghazi Damanhouri O5 RPL27A is a target of miR-595 and deficiency contributes to ribosomal dysgenesis Heba Alkhatabi O6 Next generation DNA sequencing panels for haemostatic and platelet disorders and for Fanconi anaemia in routine diagnostic service Anne Goodeve, Laura Crookes, Nikolas Niksic, Nicholas Beauchamp O7 Targeted sequencing panels and their utilization in personalized medicine Adel M. Abuzenadah O8 International biobanking in the era of precision medicine Jim Vaught O9 Biobank and biodata for clinical and forensic applications Bruce Budowle, Mourad Assidi, Abdelbaset Buhmeida O10 Tissue microarray technique: a powerful adjunct tool for molecular profiling of solid tumors Jaudah Al-Maghrabi O11 The CEGMR biobanking unit: achievements, challenges and future plans Abdelbaset Buhmeida, Mourad Assidi, Leena Merdad O12 Phylomedicine of tumors Sudhir Kumar, Sayaka Miura, Karen Gomez O13 Clinical implementation of pharmacogenomics for colorectal cancer treatment Angel Carracedo, Mahmood Rasool O14 From association to causality: translation of GWAS findings for genomic me

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Threshold secret image sharing

Threshold secret image sharing

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15th International Conference on information and Communications security, ICICS 2013

作者： Guo, Teng Liu, Feng Wu, ChuanKun Yang, ChingNung Wang, Wen Ren, YaWei State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing 100093 China University of Chinese Academy of Sciences Beijing 100190 China Department of Computer Science and Information Engineering National Dong Hwa University Hualien 974 Taiwan School of Information Management Beijing Information Science and Technology University Beijing 100192 China

ISBN: (纸本)9783319027258

A (k, n) threshold secret image sharing scheme, abbreviated as (k, n)-TSISS, splits a secret image into n shadow images in such a way that any k shadow images can be used to reconstruct the secret image exactly. In 2002, for (k, n)-TSISS, Thien and Lin reduced the size of each shadow image to 1/k of the original secret image. Their main technique is by adopting all coefficients of a (k - 1)-degree polynomial to embed the secret pixels. This benefit of small shadow size has drawn many researcher's attention and their technique has been extensively used in the following studies. In this paper, we first show that this technique is neither information theoretic secure nor computational secure. Furthermore, we point out the security defect of previous (k, n)-TSISSs for sharing textual images, and then fix up this security defect by adding an AES encryption process. At last, we prove that this new (k, n)-TSISS is computational secure. © Springer International Publishing 2013.

关键词： Defects

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Boomerang and slide-rotational analysis of the SM3 hash function

Boomerang and slide-rotational analysis of the SM3 hash func...

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19th International Conference on Selected Areas in Cryptography, SAC 2012

作者： Kircanski, Aleksandar Shen, Yanzhao Wang, Gaoli Youssef, Amr M. Concordia Institute for Information Systems Engineering Concordia University Montreal QC Canada School of Computer Science and Technology Donghua University Shanghai China State Key Laboratory of Information Security Institute of Software Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783642359989

SM3 is a hash function, designed by Xiaoyun Wang et al. and published by the Chinese Commercial Cryptography Administration Office for the use of electronic authentication service system. The design of SM3 builds upon the design of the SHA-2 hash function, but introduces additional strengthening features. In this paper, we present boomerang distinguishers for the SM3 compression function reduced to 32 steps out of 64 steps with complexity 2 14.4, 33 steps with complexity 232.4, 34 steps with complexity 253.1 and 35 steps with complexity 2117.1. Examples of zero-sum quartets for the 32-step and 33-step SM3 compression function are provided. We also point out a slide-rotational property of SM3-XOR, which exists due to the fact that constants used in the steps are not independent. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Hash functions

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Automated classification of protein subcellular location patterns on images of human reproductive tissues

Automated classification of protein subcellular location pat...

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3rd Sino-Foreign-Interchange Workshop on Intelligent science and Intelligent Data Engineering, IScIDE 2012

作者： Yang, Fan Xu, Ying-Ying Shen, Hong-Bin Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Shanghai China Key Laboratory of Optic-Electronic and Communication Jiangxi Science and Technology Normal University Nanchang China

ISBN: (纸本)9783642366680

As one of the most significant characteristics of human cell, subcellular localization plays a critical role for understanding specific functions of mammalian proteins. In this study, we developed a novel computational protocol for predicting protein subcellular locations from microscope cell images in human reproductive tissues. Experiments are performed on a benchmark dataset consisting of 7 major subcellular classes in human reproductive tissues collected from Human Protein Atlas database. We first separated protein and DNA staining in the images with both linear and nonnegative matrix factorization separation methods;then we extracted protein multi-view texture features including wavelet haralick and local binary patterns;finally based on the selected important feature subset achieved by feature selection technique, we constructed ensemble classifier based on support vector machines for predictions. Our experimental results show that 84% accuracy can be achieved through current system, and when only considering the most confident classifications, the accuracy can rise to 98%. © Springer-Verlag 2013.

关键词： Support vector machines

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A color digital watermarking in nonsampled contourlet domain using generic algorithm

A color digital watermarking in nonsampled contourlet domain...

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5th IEEE International Conference on Intelligent Networking and Collaborative systems, INCoS 2013

作者： Luo, Peng Wei, Ping Liu, Yi-Qun Key Laboratory of Network and Information Security of APF Department of Electronic Technology Engineering University of APF Xi'an 710086 China Laboratory-Center of Computer Department of Information Engineering Engineering University of APF China Xi'an 710086 China Department of Electronic Technology Engineering University of Armed Police Force Xi'an 710086 China

ISBN: (纸本)9780769549880

A novel watermarking approach for copyright protection of color images based on the nonsubsampled contour let transform (NSCT). We employ the genetic algorithm optimization principles and HVS masking technique to obtain high robustness and transparency with respect to the existing algorithms. In our scheme, the embedding factor is controlled locally according to the result of Generic Algorithm (GA) cycle. The simulation results show that the proposed algorithm yields a watermark which is invisible to human eyes and robust to a wide variety of common attacks. © 2013 IEEE.

关键词： Genetic algorithms

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Camera calibration and improved computation of fundamental matrix in epipolar geometry

Camera calibration and improved computation of fundamental m...

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2013 International Conference on Precision Mechanical Instruments and Measurement technology, ICPMIMT 2013

作者： Duan, Jia Tang, Yuan Yan Zhang, Zhen Chao Guo, Chu Yu Fang, Chi Department of Computer and Information Science University of Macau Macau China Department of Electronic Engineering Tsinghua University State Key Laboratory of Intelligent Technology and Systems Beijing 10084 China

In this paper, firstly we try to look for ways to avoid the camera parameters in order to reconstruct 3D model. We attempt to use the parallel stereo visual system and carry out the mathematical derivation of argumentation. Then we use epipolar geometry to solve this problem. And compare the computation algorithms of fundamental matrix. Then for the algorithm, we propose some improvement to compute the fundament matrix more precisely so that the algorithm is more stable and the robustness is stronger. © 2013 Trans Tech Publications Ltd, Switzerland.

关键词： Stereo vision

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Multi-class character classification with semi-supervised learning based on information entropy

Multi-class character classification with semi-supervised le...

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2013 International Conference on Precision Mechanical Instruments and Measurement technology, ICPMIMT 2013

作者： Wang, Xue Wei Tang, Yuan Yan Duan, Jia Peng, Liang Rui Zhang, Zhen Chao Department of Computer and Information Science University of Macau Macau China Department of Electronic Engineering Tsinghua University State Key Laboratory of Intelligent Technology and Systems Beijing 10084 China

Character Classification technology is the key link in OCR system. Most classification methods require abundant marked samples training to get classifier. In the real OCR application, there are so many classes, to label these samples are often waste time and energy, especially for unacquainted language, such as Arabic and Uygur, many characters are difficult to differentiate, so it even needs the help of professional guidance. This paper proposed a novel character classification with semi-supervised learning based on information entropy, introduced discrete event probability estimation theory of information entropy, active to select the optimization character samples, got the new parameters to train the classifier again, choose the most conducive to the classifier performance samples, iteration until the unlabeled samples set is empty. The experiment results show that this method achieves high performance in specific condition. © 2013 Trans Tech Publications Ltd, Switzerland.

关键词： Iterative methods

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The boomerang attacks on the round-reduced skein-512

The boomerang attacks on the round-reduced skein-512

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19th International Conference on Selected Areas in Cryptography, SAC 2012

作者： Yu, Hongbo Chen, Jiazhe Wang, Xiaoyun Department of Computer Science and Technology Tsinghua University Beijing 100084 China Institute for Advanced Study Tsinghua University Beijing 100084 China Key Laboratory of Cryptologic Technology and Information Security Shandong University Ministry of Education China KU Leuven ESAT COSIC and IBBT Belgium

ISBN: (纸本)9783642359989

The hash function Skein is one of the five finalists of the NIST SHA-3 competition. It is based on the block cipher Threefish which only uses three primitive operations: modular addition, rotation and bitwise XOR (ARX). This paper studies the boomerang attacks on Skein-512. Boomerang distinguishers on the compression function reduced to 32 and 36 rounds are proposed, with time complexities 2104.5 and 2454 hash computations respectively. Examples of the distinguishers on 28 and 31 rounds are also given. In addition, the boomerang distinguishers are applicable to the key-recovery attacks on reduced Threefish-512. The time complexities for key-recovery attacks reduced to 32-/33-/34-round are about 2181, 2305 and 2424 encryptions. Because the previous boomerang distinguishers for Threefish-512 are in fact not compatible [14], our attacks are the first valid boomerang attacks for the reduced-round Skein-512. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Hash functions

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Parallel construction of independent spanning trees and an application in diagnosis on Möbius cubes

Parallel construction of independent spanning trees and an a...

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作者： Cheng, Baolei Fan, Jianxi Jia, Xiaohua Jia, Juncheng School of Computer Science and Technology Soochow University Suzhou 215006 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China Department of Computer Science City University of Hong Kong Tat Chee Avenue Kowloon Hong Kong

Independent spanning trees (ISTs) on networks have applications to increase fault-tolerance, bandwidth, and security. Möbius cubes are a class of the important variants of hypercubes. A recursive algorithm to construct n ISTs on n-dimensional Möbius cube M n was proposed in the literature. However, there exists dependency relationship during the construction of ISTs and the time complexity of the algorithm is as high as O(NlogN), where N=2 n is the number of vertices in M n and n≥2. In this paper, we study the parallel construction and a diagnostic application of ISTs on Möbius cubes. First, based on a circular permutation n-1,n-2,.,0 and the definitions of dimension-backbone walk and dimension-backbone tree, we propose an O(N) parallel algorithm, called PMCIST, to construct n ISTs rooted at an arbitrary vertex on M n . Based on algorithm PMCIST, we further present an O(n) parallel algorithm. Then we provide a parallel diagnostic algorithm with high efficiency to diagnose all the vertices in M n by at most n+1 steps, provided the number of faulty vertices does not exceed n. Finally, we present simulation experiments of ISTs and an application of ISTs in diagnosis on 0-M 4. © 2013 Springer science+Business Media New York.

关键词： Parallel algorithms

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Design and implementation of regional LS factor computing tool based on GIS and array operation

Design and implementation of regional LS factor computing to...

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2013 International Conference on Mechatronics, Applied Mechanics and Energy Engineering, MAMEE 2013

作者： Zhang, Hong Ming Yang, Qin Ke Li, Shu Qin Wang, Mei Li Ying, Ming Lang, Huan Dong, Xue Wen College of Information Engineering Northwest A and F University ShaanXi 712100 China Department of Urbanology and Resource Science Northwest University Shaanxi 710069 China Key Laboratory of Computer Networks and Information Security of Ministry of Education Xidian University Xi'an 710071 China

ISBN: (纸本)9783037858325

For over 40 years, the universal soil loss equation (USLE) and its' revised version the revised universal soil loss equation (RUSLE) have been used all over the world for soil mean annual loss per area unit. Because of the watershed erosion models are under developing, many researchers applied the USLE and RUSLE to estimate soil loss in watershed estimations. However, a major limitation is the difficulty in extracting the LS factor. The geographic information system-based (GIS-based) methods which have been developed for estimating the slope length for USLE and RUSLE model also have limitations. A series of ARC/INFO AML program was created that can calculate LS factor for the USLE, however the program need a very long time to run in wide-ranging areas. The flowpath and cumulative cell length-based method (FCL) overcomes this disadvantage but does not consider the following questions: (1) Some original AML program functions are not achieved, so results are different. (2) Using USLE to calculate LS factor that do not adapt to the erosion environment of China. (3) There isn't a friendly graphic user interface. The purpose of this research was to overcome these limitations and extend the FCL method through Integrating CSLE equation. We developed a LS calculation tool (LS-TOOL) in Microsoft'*** environment using C# with a user-friendly interface. Comparing the LS factor calculated with the FCL method and AML method, LS factor values generated by using LS-TOOL method delivers improved results. The LS-TOOL algorithm can automatically calculate slope length, slope steepness, L factor, S factor, and LS factors, providing the results as ASCII files which can be easily used in some GIS software. This study is an important step forward in conducting fast large-scale erosion evaluation. © (2013) Trans Tech Publications, Switzerland.

关键词： Geographic information systems

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