302,033 research outputs found

    Informatics expertise to support life and health sciences research and industry

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    Computing Infrastructure and Informatics to Support Life Sciences R&D, Therapeutics, Diagnostics and Economic Development PanelInterdisciplinary collaboration between computational sciences and life/health sciences is a hallmark of the MU Informatics Institute (MUII) and its new Informatics Ph.D. program. The Institute was established to foster synergy and interdisciplinary research applications in animal, plant, human health, geospatial and microbial sciences. Creative faculty and modern computation-based research facilities combine to enable groundbreaking collaborative research that relies heavily on informatics tools and expertise. In this talk, I will briefly introduce the informatics expertise of MUII core faculty in supporting experimental scientist's R&D activities with commercialization potentials by using an example scenario in personalized medicine. There are six signature research areas that are underpinning components: (1) high-throughput sequence assembly and analysis, (2) structural bioinformatics - prediction, retrievals, and interactions, (3) large-scale and high-throughput phenotype analysis, (4) data mining and knowledge discovery from large-scale omics databases and electronic health records (5) visualization and parallelism of informatics data, and (6) geospatial informatics

    Extraction and Analysis of Facebook Friendship Relations

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    Online Social Networks (OSNs) are a unique Web and social phenomenon, affecting tastes and behaviors of their users and helping them to maintain/create friendships. It is interesting to analyze the growth and evolution of Online Social Networks both from the point of view of marketing and other of new services and from a scientific viewpoint, since their structure and evolution may share similarities with real-life social networks. In social sciences, several techniques for analyzing (online) social networks have been developed, to evaluate quantitative properties (e.g., defining metrics and measures of structural characteristics of the networks) or qualitative aspects (e.g., studying the attachment model for the network evolution, the binary trust relationships, and the link prediction problem).\ud However, OSN analysis poses novel challenges both to Computer and Social scientists. We present our long-term research effort in analyzing Facebook, the largest and arguably most successful OSN today: it gathers more than 500 million users. Access to data about Facebook users and their friendship relations, is restricted; thus, we acquired the necessary information directly from the front-end of the Web site, in order to reconstruct a sub-graph representing anonymous interconnections among a significant subset of users. We describe our ad-hoc, privacy-compliant crawler for Facebook data extraction. To minimize bias, we adopt two different graph mining techniques: breadth-first search (BFS) and rejection sampling. To analyze the structural properties of samples consisting of millions of nodes, we developed a specific tool for analyzing quantitative and qualitative properties of social networks, adopting and improving existing Social Network Analysis (SNA) techniques and algorithms

    BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains

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    The application of semantic technologies to the integration of biological data and the interoperability of bioinformatics analysis and visualization tools has been the common theme of a series of annual BioHackathons hosted in Japan for the past five years. Here we provide a review of the activities and outcomes from the BioHackathons held in 2011 in Kyoto and 2012 in Toyama. In order to efficiently implement semantic technologies in the life sciences, participants formed various sub-groups and worked on the following topics: Resource Description Framework (RDF) models for specific domains, text mining of the literature, ontology development, essential metadata for biological databases, platforms to enable efficient Semantic Web technology development and interoperability, and the development of applications for Semantic Web data. In this review, we briefly introduce the themes covered by these sub-groups. The observations made, conclusions drawn, and software development projects that emerged from these activities are discussed

    Coal Mining and Rural Ecology: A Study in Talcher, Odisha

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    Coal plays a fundamental role in global energy development but it has number of challenges. According to Downing (2002) mining results in large scale displacement of the local people and derails their normal life. There are issues that are required to be addressed in the context of coal abundant but economically poor state like Odisha, for example how does coal mining influence the environment and health of the people? Whether the health policies implemented by the mining companies are discriminating non employees? How is the CAMPA fund utilized by the government agencies. The role of institutions in the mining affected villages is also analyzed in the present study. The study has employed both primary and secondary data which would has been collected from sample surveys, formal and informal interviews from two of the mining affected villages in Talcher. Both qualitative and quantitative data are analyzed in the backdrop of the study using content analysis and Statistical Package for Social Sciences (SPSS) respectively

    Bioinformatics: Basics, Development, and Future

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    Bioinformatics is an interdisciplinary scientific field of life sciences. Bioinformatics research and application include the analysis of molecular sequence and genomics data; genome annotation, gene/protein prediction, and expression profiling; molecular folding, modeling, and design; building biological networks; development of databases and data management systems; development of software and analysis tools; bioinformatics services and workflow; mining of biomedical literature and text; and bioinformatics education and training. Astronomical accumulation of genomics, proteomics, and metabolomics data as well as a need for their storage, analysis, annotation, organization, systematization, and integration into biological networks and database systems were the main driving forces for the emergence and development of bioinformatics. Current critical needs for bioinformatics among others highlighted in this chapter, however, are to understand basics and specifics of bioinformatics as well as to prepare new generation scientists and specialists with integrated, interdisciplinary, and multilingual knowledge who can use modern bioinformatics resources powered with sophisticated operating systems, software, and database/networking technologies. In this introductory chapter, I aim to give an overall picture on basics and developments of the bioinformatics field for readers with some future perspectives, highlighting chapters published in this book

    Prior knowledge of the data on the production capacity of boron facilities in Turkey

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    The element boron is widely used in many industrial fields (semiconductor industry, glass industry, etc.). In order to assess the environmental impact of industrial products containing boron from cradle to grave, it is necessary to consider the impact of borate minerals on the environment. The literature on this subject is quite poor and the inventory of data on the life cycle of boron mining is very scarce. This article presents a synthesis of a literature review on this topic and provides easy access to important data on boron use and production capacities of Turkish boron facilities. The scope of Turkey has been chosen because the country has the largest deposits of borate ores in the world. The literature review is based on the analysis of sixty-three theses and fourteen reports in the fields of mining engineering, geology and earth sciences, environmental sciences, and chemical engineering. The production capacities from 1985 to 2016 (most recent data) and supporting data for each facility were studied using bibliometrics analysis. The data were then evaluated by calculating a data quality matrix, the coefficient of dispersion, and the standard deviations. We have found that the data compiled is generally of good quality. The values of the production capacities ±2.3 tons have 95% chance to be the real values of the production capacities of the boron industry in Turkey. The data obtained constitute a basis for enriching models in the field of life cycle assessment (LCA), sustainability, and/or material flow analysis (MFA) applied to borate mineral processing

    Coal Mining and Rural Ecology: A Study in Talcher, Odisha

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    Coal plays a fundamental role in global energy development but it has number of challenges. According to Downing (2002) mining results in large scale displacement of the local people and derails their normal life. There are issues that are required to be addressed in the context of coal abundant but economically poor state like Odisha, for example how does coal mining influence the environment and health of the people? Whether the health policies implemented by the mining companies are discriminating non employees? How is the CAMPA fund utilized by the government agencies. The role of institutions in the mining affected villages is also analyzed in the present study. The study has employed both primary and secondary data which would has been collected from sample surveys, formal and informal interviews from two of the mining affected villages in Talcher. Both qualitative and quantitative data are analyzed in the backdrop of the study using content analysis and Statistical Package for Social Sciences (SPSS) respectively

    Model SAAS on International Payment Organizations

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    Today's use of information technology is vast and involves almost every sphere of life. For this reason, the digitization of many common services is inevitable, including an important part such as card payment services, digitized banking industry. The first step in this regard is the process of data evaluation using analytical and logical reasoning to examine each component of the data provided. This form of analysis is only one of the many steps to be completed when conducting a research analysis. Gathering data from different sources, revised, and then analyzed to form a finding or a conclusion. There are a variety of data analysis methods, some of which include data mining, textual analysis, business intelligence, and visualization of data. Data Analysis is a process of inspection, purification, transformation, and data modeling with the purpose of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple aspects and approaches, including various techniques under a variety of names, in various businesses, science, and the field of social sciences. This paper deals with:  Analyzing and investigating data with the main purpose of recognizing the environment where card transactions are processed, leading players from history to innovations in this industry. This research paper provides a brief summary of a bank card payment technology industry that has historically been always closed to the public with a view to maintaining control, global market domination and data retention of confusing.The document addresses separately the SaaS model of services, innovations in financial technology and the concept of Digital Banking.Another main goal of this research is the introduction of payment systems in Kosovo, and research that through which technological investments can increase card payments in Kosovo
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