Institution
University of Missouri
Education•Columbia, Missouri, United States•
About: University of Missouri is a education organization based out in Columbia, Missouri, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 41427 authors who have published 83598 publications receiving 2911437 citations. The organization is also known as: Mizzou & Missouri-Columbia.
Topics: Population, Poison control, Gene, Context (language use), Health care
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors synthesize relationship marketing empirical research in a meta-analytic framework and show that relationship investment has a large, direct effect on seller objective performance, which implies that additional meditated pathways may explain the impact of relationship marketing on performance.
Abstract: Relationship marketing (RM) has emerged as one of the dominant mantras in business strategy circles, though RM investigations often yield mixed results To help managers and researchers improve the effectiveness of their efforts, the authors synthesize RM empirical research in a meta-analytic framework Although the fundamental premise that RM positively affects performance is well supported, many of the authors’ findings have significant implications for research and practice Relationship investment has a large, direct effect on seller objective performance, which implies that additional meditated pathways may explain the impact of RM on performance Objective performance is influenced most by relationship quality (a composite measure of relationship strength) and least by commitment The results also suggest that RM is more effective when relationships are more critical to customers (eg, service offerings, channel exchanges, business markets) and when relationships are built with an individual person rather than a selling firm (which partially explains the mixed effects between RM and performance reported in previous studies)
2,056 citations
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TL;DR: A speculative peer-socialization model is presented based on this review of sex differences in several peer relationship processes, including behavioral and social-cognitive styles, stress and coping, and relationship provisions, which suggests that sex-linked relationship processes have costs and benefits for girls' and boys' adjustment.
Abstract: Theory and research on sex differences in adjustment focus largely on parental, societal, and biological influences. However, it also is important to consider how peers contribute to girls' and boys' development. This article provides a critical review of sex differences in several peer relationship processes, including behavioral and social-cognitive styles, stress and coping, and relationship provisions. The authors present a speculative peer-socialization model based on this review in which the implications of these sex differences for girls' and boys' emotional and behavioral development are considered. Central to this model is the idea that sex-linked relationship processes have costs and benefits for girls' and boys' adjustment. Finally, the authors present recent research testing certain model components and propose approaches for testing understudied aspects of the model.
2,036 citations
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TL;DR: It can be concluded that arterial hypertension together with elevated circulating aldosterone are associated with cardiac fibroblast involvement and the resultant heterogeneity in tissue structure and the stage is set to prevent pathological LVH resulting from myocardial fibrosis as well as to reverse it.
Abstract: Left ventricular hypertrophy (LVH) is the major risk factor associated with myocardial failure. An explanation for why a presumptive adaptation such as LVH would prove pathological has been elusive. Insights into the impairment in contractility of the hypertrophied myocardium have been sought in the biochemistry of cardiac myocyte contraction. Equally compelling is a consideration of abnormalities in myocardial structure that impair organ contractile function while preserving myocyte contractility. For example, in the LVH that accompanies hypertension, the extracellular space is frequently the site of an abnormal accumulation of fibrillar collagen. This reactive and progressive interstitial and perivascular fibrosis accounts for abnormal myocardial stiffness and ultimately ventricular dysfunction and is likely a result of cardiac fibroblast growth and enhanced collagen synthesis. The disproportionate involvement of this nonmyocyte cell, however, is not a uniform accompaniment to myocyte hypertrophy and LVH, suggesting that the growth of myocyte and nonmyocyte cells is independent of each other. This has now been demonstrated in in vivo studies of experimental hypertension in which the abnormal fibrous tissue response was found in the hypertensive, hypertrophied left ventricle as well as in the normotensive, nonhypertrophied right ventricle. These findings further suggest that a circulating substance that gained access to the common coronary circulation of the ventricles was involved. This hypothesis has been tested in various animal models in which plasma concentrations of angiotensin II and aldosterone were varied. Based on morphometric and morphological findings, it can be concluded that arterial hypertension (i.e., an elevation in coronary perfusion pressure) together with elevated circulating aldosterone are associated with cardiac fibroblast involvement and the resultant heterogeneity in tissue structure. Nonmyocyte cells of the cardiac interstitium represent an important determinant of pathological LVH. The mechanisms that invoke short- (e.g., collagen metabolism) and long-term (e.g., mitosis) responses of cardiac fibroblasts require further investigation and integration of in vitro with in vivo studies. The stage is set, however, to prevent pathological LVH resulting from myocardial fibrosis as well as to reverse it.
2,036 citations
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Max Planck Society1, National University of Cordoba2, Centre national de la recherche scientifique3, Macquarie University4, University of Paris-Sud5, University of Minnesota6, University of Western Sydney7, VU University Amsterdam8, University of Arizona9, University of California, Berkeley10, University of Guelph11, Australian National University12, University of Innsbruck13, University of Leeds14, University of Groningen15, Universidade Federal do Rio Grande do Sul16, University of Cape Town17, University of Wollongong18, New Jersey Institute of Technology19, Centro Agronómico Tropical de Investigación y Enseñanza20, Lawrence Berkeley National Laboratory21, University of Alaska Fairbanks22, University of Cambridge23, Kansas State University24, Helmholtz Centre for Environmental Research - UFZ25, Arizona State University26, University of Giessen27, Autonomous University of Barcelona28, University of Maryland, College Park29, Universidad del Tolima30, University of São Paulo31, University of La Réunion32, University of York33, University of Sydney34, Harvard University35, Goethe University Frankfurt36, University of Sheffield37, University of Ulm38, State University of Campinas39, Kenyon College40, Royal Botanic Gardens41, University of Florida42, University of Oldenburg43, University of Nebraska–Lincoln44, Tohoku University45, Northern Arizona University46, University of Wisconsin–Eau Claire47, Naturalis48, James Cook University49, Institut national de la recherche agronomique50, Newcastle University51, University of New South Wales52, Leipzig University53, Columbia University54, Estonian University of Life Sciences55, Polish Academy of Sciences56, Moscow State University57, Kyushu University58, Wageningen University and Research Centre59, Spanish National Research Council60, University of Regensburg61, University of Rennes62, Université du Québec à Trois-Rivières63, Potsdam Institute for Climate Impact Research64, Technical University of Denmark65, University of California, Los Angeles66, Hokkaido University67, Université de Sherbrooke68, Syracuse University69, Empresa Brasileira de Pesquisa Agropecuária70, University of Aberdeen71, Michigan State University72, Oak Ridge National Laboratory73, University of Leicester74, Utah State University75, Smithsonian Institution76, University of Missouri77
TL;DR: TRY as discussed by the authors is a global database of plant traits, including morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs, which can be used for a wide range of research from evolutionary biology, community and functional ecology to biogeography.
Abstract: Plant traits – the morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs – determine how primary producers respond to environmental factors, affect other trophic levels, influence ecosystem processes and services and provide a link from species richness to ecosystem functional diversity. Trait data thus represent the raw material for a wide range of research from evolutionary biology, community and functional ecology to biogeography. Here we present the global database initiative named TRY, which has united a wide range of the plant trait research community worldwide and gained an unprecedented buy-in of trait data: so far 93 trait databases have been contributed. The data repository currently contains almost three million trait entries for 69 000 out of the world's 300 000 plant species, with a focus on 52 groups of traits characterizing the vegetative and regeneration stages of the plant life cycle, including growth, dispersal, establishment and persistence. A first data analysis shows that most plant traits are approximately log-normally distributed, with widely differing ranges of variation across traits. Most trait variation is between species (interspecific), but significant intraspecific variation is also documented, up to 40% of the overall variation. Plant functional types (PFTs), as commonly used in vegetation models, capture a substantial fraction of the observed variation – but for several traits most variation occurs within PFTs, up to 75% of the overall variation. In the context of vegetation models these traits would better be represented by state variables rather than fixed parameter values. The improved availability of plant trait data in the unified global database is expected to support a paradigm shift from species to trait-based ecology, offer new opportunities for synthetic plant trait research and enable a more realistic and empirically grounded representation of terrestrial vegetation in Earth system models.
2,017 citations
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Veterans Health Administration1, University of Miami2, University of California, San Francisco3, San Francisco General Hospital4, University of Missouri5, University of California, Los Angeles6, Tufts University7, University of Washington8, University of Minnesota9, VA Palo Alto Healthcare System10, Stanford University11, Palo Alto Medical Foundation12, Medical College of Wisconsin13
TL;DR: It is the recommendation of this committee that patients with soft-tissue infection be distinguished by signs and symptoms of systemic toxicity (e.g., fever or hypothermia, tachycardia [heart rate,] and so on).
Abstract: EXECUTIVE SUMMARYSoft-tissue infections are common, generally of mild tomodest severity, and are easily treated with a variety ofagents. An etiologic diagnosis of simple cellulitis is fre-quently difficult and generally unnecessary for patientswith mild signs and symptoms of illness. Clinical as-sessment of the severity of infection is crucial, and sev-eral classification schemes and algorithms have beenproposed to guide the clinician [1]. However, mostclinical assessments have been developed from eitherretrospective studies or from an author’s own “clinicalexperience,” illustrating the need for prospectivestudieswith defined measurements of severity coupled to man-agement issues and outcomes.Until then, it is the recommendation of this com-mittee that patients with soft-tissue infection accom-panied by signs and symptoms of systemic toxicity (e.g.,fever or hypothermia, tachycardia [heart rate,
2,008 citations
Authors
Showing all 41750 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Meir J. Stampfer | 277 | 1414 | 283776 |
Russel J. Reiter | 169 | 1646 | 121010 |
Chad A. Mirkin | 164 | 1078 | 134254 |
Robert Stone | 160 | 1756 | 167901 |
Howard I. Scher | 151 | 944 | 101737 |
Rajesh Kumar | 149 | 4439 | 140830 |
Joseph T. Hupp | 141 | 731 | 82647 |
Lihong V. Wang | 136 | 1118 | 72482 |
Stephen R. Carpenter | 131 | 464 | 109624 |
Jan A. Staessen | 130 | 1137 | 90057 |
Robert S. Brown | 130 | 1243 | 65822 |
Mauro Giavalisco | 128 | 412 | 69967 |
Kenneth J. Pienta | 127 | 671 | 64531 |
Matthew W. Gillman | 126 | 529 | 55835 |