Institution
University of North Carolina at Charlotte
Education•Charlotte, North Carolina, United States•
About: University of North Carolina at Charlotte is a education organization based out in Charlotte, North Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 8772 authors who have published 22239 publications receiving 562529 citations. The organization is also known as: UNC Charlotte & UNCC.
Topics: Population, Poison control, Health care, Visualization, Mental health
Papers published on a yearly basis
Papers
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TL;DR: It is suggested that behavioral activation may be nearly as enduring as cognitive therapy and that both psychotherapies are less expensive and longer lasting alternatives to medication in the treatment of depression.
Abstract: This study followed treatment responders from a randomized controlled trial of adults with major depression. Patients treated with medication but withdrawn onto pill-placebo had more relapse through 1 year of follow-up compared to patients who received prior behavioral activation, prior cognitive therapy, or continued medication. Prior psychotherapy was also superior to medication withdrawal in the prevention of recurrence across the 2nd year of follow-up. Specific comparisons indicated that patients previously exposed to cognitive therapy were significantly less likely to relapse following treatment termination than patients withdrawn from medication, and patients previously exposed to behavioral activation did almost as well relative to patients withdrawn from medication, although the difference was not significantly different. Differences between behavioral activation and cognitive therapy were small in magnitude and not significantly different across the full 2-year follow-up, and each therapy was at least as efficacious as the continuation of medication. These findings suggest that behavioral activation may be nearly as enduring as cognitive therapy and that both psychotherapies are less expensive and longer lasting alternatives to medication in the treatment of depression.
508 citations
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15 Jun 2002TL;DR: Part A: Data mining and knowledge discovery Part B: Fundamental Concepts Part C: The process of knowledge discovery in databases Part D: Discovery Systems Part E: Interdisciplinary links of KDD Part F: Business problems Part G: Industry sectors Part H: KDD in practice: case studies
Abstract: Part A: Data mining and knowledge discovery Part B: Fundamental Concepts Part C: The process of knowledge discovery in databases Part D: Discovery Systems Part E: Interdisciplinary links of KDD Part F: Business problems Part G: Industry sectors Part H: KDD in practice: case studies
502 citations
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TL;DR: In this paper, the authors investigate ways in which organizational leaders can reinforce and even augment the potential effects of public service motivation on employees' attraction to the organization's mission (mission valence).
Abstract: This article contributes to our understanding of public service motivation and leadership by investigating ways in which organizational leaders can reinforce and even augment the potential effects of public service motivation on employees’ attraction to the organization’s mission (mission valence). The results contribute to two research questions. First, the findings provide new evidence on the sources of public service motivation. The authors find that transformational leadership is an organizational factor associated with higher public service motivation. Second, the article examines the relationship between transformational leadership and mission valence. The authors find that transformational leadership has an important indirect effect on mission valence through its influence on clarifying organizational goals and fostering public service motivation.
501 citations
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TL;DR: A novel algorithm named SNN-Cliq is described that clusters single-cell transcriptomes using the concept of shared nearest neighbor that shows advantages in handling high-dimensional data.
Abstract: Motivation The recent advance of single-cell technologies has brought new insights into complex biological phenomena. In particular, genome-wide single-cell measurements such as transcriptome sequencing enable the characterization of cellular composition as well as functional variation in homogenic cell populations. An important step in the single-cell transcriptome analysis is to group cells that belong to the same cell types based on gene expression patterns. The corresponding computational problem is to cluster a noisy high dimensional dataset with substantially fewer objects (cells) than the number of variables (genes). Results In this article, we describe a novel algorithm named shared nearest neighbor (SNN)-Cliq that clusters single-cell transcriptomes. SNN-Cliq utilizes the concept of shared nearest neighbor that shows advantages in handling high-dimensional data. When evaluated on a variety of synthetic and real experimental datasets, SNN-Cliq outperformed the state-of-the-art methods tested. More importantly, the clustering results of SNN-Cliq reflect the cell types or origins with high accuracy. Availability and implementation The algorithm is implemented in MATLAB and Python. The source code can be downloaded at http://bioinfo.uncc.edu/SNNCliq.
497 citations
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TL;DR: Host factors and gastrointestinal bacteria each respond to dietary choline deficiency, although the gut microbiota remains distinct in each individual, adding to the accumulating evidence that gastrointestinal microbes have a role in metabolic disorders.
496 citations
Authors
Showing all 8936 results
Name | H-index | Papers | Citations |
---|---|---|---|
Chao Zhang | 127 | 3119 | 84711 |
E. Magnus Ohman | 124 | 622 | 68976 |
Staffan Kjelleberg | 114 | 425 | 44414 |
Kenneth L. Davis | 113 | 622 | 61120 |
David Wilson | 102 | 757 | 49388 |
Michael Bauer | 100 | 1052 | 56841 |
David A. B. Miller | 96 | 702 | 38717 |
Ashutosh Chilkoti | 95 | 414 | 32241 |
Chi-Wang Shu | 93 | 529 | 56205 |
Gang Li | 93 | 486 | 68181 |
Tiefu Zhao | 90 | 593 | 36856 |
Juan Carlos García-Pagán | 90 | 348 | 25573 |
Denise C. Park | 88 | 267 | 33158 |
Santosh Kumar | 80 | 1196 | 29391 |
Chen Chen | 76 | 853 | 24974 |