Institution
University of Houston–Clear Lake
Education•Houston, Texas, United States•
About: University of Houston–Clear Lake is a education organization based out in Houston, Texas, United States. It is known for research contribution in the topics: Health care & Educational technology. The organization has 1428 authors who have published 2643 publications receiving 57227 citations. The organization is also known as: UHCL & University of Houston - Clear Lake.
Papers published on a yearly basis
Papers
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Broad Institute1, Baylor College of Medicine2, University of Helsinki3, University of Geneva4, Wellcome Trust Sanger Institute5, Harvard University6, Cornell University7, University of Oxford8, University of Maryland, Baltimore9, University of Oklahoma10, University of California, San Francisco11, Australian National University12, Case Western Reserve University13, Health Sciences University of Hokkaido14, Moi University15, National Institutes of Health16, University of Houston–Clear Lake17, Duke University18, Cleveland Clinic19, Chinese Academy of Sciences20
TL;DR: An expanded public resource of genome variants in global populations supports deeper interrogation of genomic variation and its role in human disease, and serves as a step towards a high-resolution map of the landscape of human genetic variation.
Abstract: Despite great progress in identifying genetic variants that influence human disease, most inherited risk remains unexplained. A more complete understanding requires genome-wide studies that fully examine less common alleles in populations with a wide range of ancestry. To inform the design and interpretation of such studies, we genotyped 1.6 million common single nucleotide polymorphisms (SNPs) in 1,184 reference individuals from 11 global populations, and sequenced ten 100-kilobase regions in 692 of these individuals. This integrated data set of common and rare alleles, called 'HapMap 3', includes both SNPs and copy number polymorphisms (CNPs). We characterized population-specific differences among low-frequency variants, measured the improvement in imputation accuracy afforded by the larger reference panel, especially in imputing SNPs with a minor allele frequency of
2,863 citations
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01 Jan 2008TL;DR: A theoretical framework describing the trust-based decision-making process a consumer uses when making a purchase from a given site is developed and the proposed model is tested using a Structural Equation Modeling technique on Internet consumer purchasing behavior data collected via a Web survey.
Abstract: Are trust and risk important in consumers' electronic commerce purchasing decisions? What are the antecedents of trust and risk in this context? How do trust and risk affect an Internet consumer's purchasing decision? To answer these questions, we i) develop a theoretical framework describing the trust-based decision-making process a consumer uses when making a purchase from a given site, ii) test the proposed model using a Structural Equation Modeling technique on Internet consumer purchasing behavior data collected via a Web survey, and iii) consider the implications of the model. The results of the study show that Internet consumers' trust and perceived risk have strong impacts on their purchasing decisions. Consumer disposition to trust, reputation, privacy concerns, security concerns, the information quality of the Website, and the company's reputation, have strong effects on Internet consumers' trust in the Website. Interestingly, the presence of a third-party seal did not strongly influence consumers' trust.
2,650 citations
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TL;DR: The authors survey the most common neural-network architectures and show how neural networks can be used to solve actual scientific and engineering problems and describe methodologies for simulating neural- network architectures on traditional digital computing systems.
Abstract: Freeman and Skapura provide a practical introduction to artificial neural systems (ANS). The authors survey the most common neural-network architectures and show how neural networks can be used to solve actual scientific and engineering problems and describe methodologies for simulating neural-network architectures on traditional digital computing systems.
1,537 citations
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TL;DR: In this paper, the authors systematically developed and empirically validated a scale to measure word-of-mouth communication and investigated two forms of customer commitment and service quality as potent factors.
Abstract: The current research systematically develops and empirically validates a scale to measure word-of-mouth communication and investigates two forms of customer commitment and service quality as potent...
1,485 citations
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TL;DR: Ways knowledge‐enabled organizations acquire, measure, teach, share and apply knowledge, and methods to balance the use tacit and explicit knowledge at work and practical, proven ways to improve the understanding and use of knowledge are presented.
Abstract: Knowledge plays a key role in the information revolution. Major challenges are to select the “right” information from numerous sources and transform it into useful knowledge. Tacit knowledge based on common sense, and explicit knowledge based on academic accomplishment are both underutilized. Ways knowledge‐enabled organizations acquire, measure, teach, share and apply knowledge are discussed and illustrated. Methods to balance the use tacit and explicit knowledge at work and practical, proven ways to improve the understanding and use of knowledge are presented. Organizations must begin to create worker‐centered environments to encourage the open sharing and use of all forms of knowledge.
988 citations
Authors
Showing all 1446 results
Name | H-index | Papers | Citations |
---|---|---|---|
Kevin Burgess | 69 | 446 | 25089 |
Wei Zhao | 52 | 390 | 11627 |
Chris Dede | 48 | 210 | 11016 |
Dorothea C. Lerman | 39 | 97 | 5589 |
Colin Atkinson | 35 | 206 | 5982 |
Wei Ding | 32 | 236 | 5413 |
Michael R. Hyman | 30 | 123 | 2820 |
David H. Malin | 29 | 57 | 2771 |
Long W. Lam | 28 | 53 | 2144 |
Pamela W. Garner | 28 | 63 | 2983 |
Dan J. Kim | 27 | 105 | 6012 |
Edward C. M. Chen | 26 | 98 | 1951 |
Fathi H. Ghorbel | 25 | 112 | 2589 |
Ricardo Vilalta | 25 | 98 | 3201 |
Kim Quaile Hill | 24 | 62 | 2416 |