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BioCC: An Openfree Hypertext Bio Community Cluster for Biology

  • Gong Sung-Sam;Kim Tae-Hyung;Oh Jung-Su;Kwon Je-Keun;Cho Su-An;Bolser Dan;Bhak Jong
    • Genomics & Informatics
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    • 제4권3호
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    • pp.125-128
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    • 2006
  • We present an openfree hypertext (also known as wiki) web cluster called BioCC. BioCC is a novel wiki farm that lets researchers create hundreds of biological web sites. The web sites form an organic information network. The contents of all the sites on the BioCC wiki farm are modifiable by anonymous as well as registered users. This enables biologists with diverse backgrounds to form their own Internet bio-communities. Each community can have custom-made layouts for information, discussion, and knowledge exchange. BioCC aims to form an ever-expanding network of openfree biological knowledge databases used and maintained by biological experts, students, and general users. The philosophy behind BioCC is that the formation of biological knowledge is best achieved by open-minded individuals freely exchanging information. In the near future, the amount of genomic information will have flooded society. BioGG can be an effective and quickly updated knowledge database system. BioCC uses an opensource wiki system called Mediawiki. However, for easier editing, a modified version of Mediawiki, called Biowiki, has been applied. Unlike Mediawiki, Biowiki uses a WYSIWYG (What You See Is What You Get) text editor. BioCC is under a share-alike license called BioLicense (http://biolicense.org). The BioCC top level site is found at http://bio.cc/

Standard-based Integration of Heterogeneous Large-scale DNA Microarray Data for Improving Reusability

  • Jung, Yong;Seo, Hwa-Jeong;Park, Yu-Rang;Kim, Ji-Hun;Bien, Sang Jay;Kim, Ju-Han
    • Genomics & Informatics
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    • 제9권1호
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    • pp.19-27
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    • 2011
  • Gene Expression Omnibus (GEO) has kept the largest amount of gene-expression microarray data that have grown exponentially. Microarray data in GEO have been generated in many different formats and often lack standardized annotation and documentation. It is hard to know if preprocessing has been applied to a dataset or not and in what way. Standard-based integration of heterogeneous data formats and metadata is necessary for comprehensive data query, analysis and mining. We attempted to integrate the heterogeneous microarray data in GEO based on Minimum Information About a Microarray Experiment (MIAME) standard. We unified the data fields of GEO Data table and mapped the attributes of GEO metadata into MIAME elements. We also discriminated non-preprocessed raw datasets from others and processed ones by using a two-step classification method. Most of the procedures were developed as semi-automated algorithms with some degree of text mining techniques. We localized 2,967 Platforms, 4,867 Series and 103,590 Samples with covering 279 organisms, integrated them into a standard-based relational schema and developed a comprehensive query interface to extract. Our tool, GEOQuest is available at http://www.snubi.org/software/GEOQuest/.

인간생태계에서의 소금의 생활과학 - 소금. 건강. 환경 - (Living Science of Table Salt in Human Ecology -Common Salt, Health and Environment-)

  • Fujino, Yasuhiko
    • 동아시아식생활학회지
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    • 제9권2호
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    • pp.230-244
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    • 1999
  • 1) Table salt (=NaCl=common salt=salt) is scientifically characterized, and the significant role in dietary and daily life has generally been discussed from the standpoint of human ecology. 2) In dietary life, salt fundamentally gives a deliciousness to dishes and nutro-physiologically functions to keep homeostasis in the body. Meanwhile, the excessive intake of salt often causes the high blood pressure and induces several fatal diseases. 3) In daily life, salt derivatives(Na-, Cl-compound) are quite useful widely over food, clothing and housing. Meanwhile, some of them especially organochlorine compounds often pollute the environment and damage the humans and or ecology as so-called environmental hormone resulting in dioxins. 4) For the ambivalence of salt in health and environment, humans, but not salt, are wholly responsible. The fact would go not only to salt but also generally to resources on the earth. 5) Humans should adequately be moderate in utilizations and consumptions of salt and or resources. Everything must be kept with in bounds. This conception would surely bring the stable maintenance and the sound development to the system of human ecology as well as global ecology.

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Development of a Knowledge Base for Korean Pharmacogenomics Research Network

  • Park, Chan Hee;Lee, Su Yeon;Jung, Yong;Park, Yu Rang;Lee, Hye Won;Kim, Ju Han
    • Genomics & Informatics
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    • 제3권3호
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    • pp.68-73
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    • 2005
  • Pharmacogenomics research requires an intelligent integration of large-scale genomic and clinical data with public and private knowledge resources. We developed a web-based knowledge base for KPRN (Korea Pharmacogenomics Research Network, http://kprn.snubi. org/). Four major types of information is integrated; genetic variation, drug information, disease information, and literature annotation. Eighteen Korean pharmacogenomics research groups in collaboration have submitted 859 genotype data sets for 91 disease-related genes. Integrative analysis and visualization of the large collection of data supported by integrated biomedical path­ways and ontology resources are provided with a user-friendly interface and visualization engine empowered by Generic Genome Browser.

조직 내 기존지식과 신제품 성과에 관한 연구 (Existing Knowledge in the Organization and the New Product Performance)

  • 서상혁;조성복;진윤경
    • 기술혁신학회지
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    • 제9권4호
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    • pp.884-908
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    • 2006
  • 본 연구의 목적은 조직내 기존지식과 기업의 신제품성과간의 관계를 탐구하는 것이다. 문헌분석을 통하여 지식관리에 영향을 미치는 요인으로서 정보획득 효율성, 정보해석공유 및 조직구조변수를 추출하였다. 그런 다음 실증분석을 통하여 기존지식이 정보획득효율성 및 정보해석공유와 정의 상관관계를 갖는 것을 발견하였다. 또한 정보획득효율성은 신제품성과와 강력한 상관관계를 보였다. 그러나 정보해석고유는 신제품성과에 유의한 관계를 나타내지 못했다. 이러한 연구결과를 토대로 조직 내 기존지식이 신제품성과에 영향을 미치는 과정에 관한 몇 가지의 통찰과 함께 이의 중요성을 인식하게 되었다.

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A Journey of Digital Transformation of Small and Medium-Sized Enterprises in Vietnam: Insights from Multiple Cases

  • BUI, Minh Le
    • The Journal of Asian Finance, Economics and Business
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    • 제8권10호
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    • pp.77-85
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    • 2021
  • This study aims to investigate the status quo and identify the challenges and benefits of the digital transformation in the context of small and medium-sized enterprises (SMEs) in Vietnam. The six participating SMEs were purposely contacted, and they were either nominated for, or received the Vietnam Digital Awards in 2018, 2019 and 2020, which were held by the Vietnam Digital Communication Association (http://en.vdca.org.vn/). A qualitative research method is adopted, using a semi-structured interview method and a theoretical triangulation of legitimacy, stakeholder and stewardship theories to facilitate the investigation. This research tries to identify the current challenges and benefits for digital transformation of SMEs in Vietnam, based on perception and experience from business leaders and managers from six SMEs in Vietnam. The findings of this study reveal that besides the recent challenges for digital transformation, participants also experienced and shared their perspectives regarding the benefits received from the digital transformation journey of their organization, which varied from (i) improve operational as well as business functions; (ii) liberate staffs and managers from daily work and allows them to focus on decision-making tasks; (iii) enable solutions to deal with consequences from the COVID-19 pandemic; (iv) enhance value creation process; and (v) help firms to align with the global business standards.

Emotion Recognition of Low Resource (Sindhi) Language Using Machine Learning

  • Ahmed, Tanveer;Memon, Sajjad Ali;Hussain, Saqib;Tanwani, Amer;Sadat, Ahmed
    • International Journal of Computer Science & Network Security
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    • 제21권8호
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    • pp.369-376
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    • 2021
  • One of the most active areas of research in the field of affective computing and signal processing is emotion recognition. This paper proposes emotion recognition of low-resource (Sindhi) language. This work's uniqueness is that it examines the emotions of languages for which there is currently no publicly accessible dataset. The proposed effort has provided a dataset named MAVDESS (Mehran Audio-Visual Dataset Mehran Audio-Visual Database of Emotional Speech in Sindhi) for the academic community of a significant Sindhi language that is mainly spoken in Pakistan; however, no generic data for such languages is accessible in machine learning except few. Furthermore, the analysis of various emotions of Sindhi language in MAVDESS has been carried out to annotate the emotions using line features such as pitch, volume, and base, as well as toolkits such as OpenSmile, Scikit-Learn, and some important classification schemes such as LR, SVC, DT, and KNN, which will be further classified and computed to the machine via Python language for training a machine. Meanwhile, the dataset can be accessed in future via https://doi.org/10.5281/zenodo.5213073.

Orientation of Youth towards Social Entrepreneurship: An Empirical Study from Pakistan

  • ZUBAIR, Syed Sohaib;AYOOB, Ifrah;ALI, Kashif;KHAN, Mukaram Ali;AZAD, Muhammad;ZEESHAN, Muhammad
    • The Journal of Asian Finance, Economics and Business
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    • 제8권9호
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    • pp.67-77
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    • 2021
  • The importance of Entrepreneurship has been widely acknowledged by researchers and practitioners worldwide, however, the idea of Social Entrepreneurship is still considered to be an emerging area. Entrepreneurship is vital not only because of its economic impacts but also because it helps to address issues of poverty and welfare, where it can act as a catalyst for change. The importance of social entrepreneurship is that it serves to turn a profit and find success while helping others throughout the world. They know the power of social enterprise and are eager to serve the societal and economic benefits. This study aims to identify the level of orientation of youth towards social entrepreneurship in Pakistan. The study identifies the role of various factors that affect Social Entrepreneurial Orientation and is conducted following a quantitative research strategy and survey research design where data is collected from 302 individuals. Structural Equation Modelling was used to analyze the data and to test the hypotheses. The main finding of this research is that there is an increasing trend in the orientation towards social entrepreneurship. The exogenous variables namely Perceived Educational Support, Perceived Structural Support, and Perceived Relational Support were found to have positive and significant effects on the endogenous construct of Social Entrepreneurial Orientation.

A Genome-Scale Co-Functional Network of Xanthomonas Genes Can Accurately Reconstruct Regulatory Circuits Controlled by Two-Component Signaling Systems

  • Kim, Hanhae;Joe, Anna;Lee, Muyoung;Yang, Sunmo;Ma, Xiaozhi;Ronald, Pamela C.;Lee, Insuk
    • Molecules and Cells
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    • 제42권2호
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    • pp.166-174
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    • 2019
  • Bacterial species in the genus Xanthomonas infect virtually all crop plants. Although many genes involved in Xanthomonas virulence have been identified through molecular and cellular studies, the elucidation of virulence-associated regulatory circuits is still far from complete. Functional gene networks have proven useful in generating hypotheses for genetic factors of biological processes in various species. Here, we present a genome-scale co-functional network of Xanthomonas oryze pv. oryzae (Xoo) genes, XooNet (www.inetbio.org/xoonet/), constructed by integrating heterogeneous types of genomics data derived from Xoo and other bacterial species. XooNet contains 106,000 functional links, which cover approximately 83% of the coding genome. XooNet is highly predictive for diverse biological processes in Xoo and can accurately reconstruct cellular pathways regulated by two-component signaling transduction systems (TCS). XooNet will be a useful in silico research platform for genetic dissection of virulence pathways in Xoo.

Secure and Efficient Privacy-Preserving Identity-Based Batch Public Auditing with Proxy Processing

  • Zhao, Jining;Xu, Chunxiang;Chen, Kefei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권2호
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    • pp.1043-1063
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    • 2019
  • With delegating proxy to process data before outsourcing, data owners in restricted access could enjoy flexible and powerful cloud storage service for productivity, but still confront with data integrity breach. Identity-based data auditing as a critical technology, could address this security concern efficiently and eliminate complicated owners' public key certificates management issue. Recently, Yu et al. proposed an Identity-Based Public Auditing for Dynamic Outsourced Data with Proxy Processing (https://doi.org/10.3837/tiis.2017.10.019). It aims to offer identity-based, privacy-preserving and batch auditing for multiple owners' data on different clouds, while allowing proxy processing. In this article, we first demonstrate this scheme is insecure in the sense that malicious cloud could pass integrity auditing without original data. Additionally, clouds and owners are able to recover proxy's private key and thus impersonate it to forge tags for any data. Secondly, we propose an improved scheme with provable security in the random oracle model, to achieve desirable secure identity based privacy-preserving batch public auditing with proxy processing. Thirdly, based on theoretical analysis and performance simulation, our scheme shows better efficiency over existing identity-based auditing scheme with proxy processing on single owner and single cloud effort, which will benefit secure big data storage if extrapolating in real application.