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Institution

Saint Louis University

EducationSt Louis, Missouri, United States
About: Saint Louis University is a education organization based out in St Louis, Missouri, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 18927 authors who have published 34895 publications receiving 1267475 citations. The organization is also known as: SLU & St. Louis University.


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Journal ArticleDOI
TL;DR: The geologic framework of the Phanerozoic Qinling-Dabie orogen was built up through two major suturing events of three blocks. as mentioned in this paper showed that the blocks are surrounded by complexly deformed Devonian to Early Triassic metasandstones and metapelites, forming a regional-scale blockin-matrix melange fabric.

237 citations

Journal ArticleDOI
Jean Bousquet1, Holger J. Schünemann2, Akdis Togias3, Claus Bachert4, Martina Erhola3, Peter Hellings5, Ludger Klimek, Oliver Pfaar6, Dana Wallace7, Ignacio J. Ansotegui, Ioana Agache8, Anna Bedbrook, Karl-Christian Bergmann9, Mike Bewick, Philippe Bonniaud, Sinthia Bosnic-Anticevich10, Isabelle Bosse, Jacques Bouchard11, Louis-Philippe Boulet11, Jan Brozek2, Guy Brusselle4, Moises A. Calderon3, Walter Canonica12, Luis Caraballo13, V. Cardona, Thomas B. Casale14, Lorenzo Cecchi, Derek K. Chu2, Elísio Costa15, Alvaro A. Cruz16, Wienczyslawa Czarlewski, Gennaro D'Amato17, Philippe Devillier18, Philippe Devillier3, Mark S. Dykewicz19, Motohiro Ebisawa, Jean-Louis Fauquert, Wytske Fokkens5, João Fonseca15, Jean-François Fontaine, Bilun Gemicioglu20, Roy Gerth van Wijk21, Tari Haahtela22, Susanne Halken23, Despo Ierodiakonou24, Tomohisa Iinuma25, J. C. Ivancevich, Marek Jutel26, Igor Kaidashev27, Musa Khaitov, Omer Kalayci28, Jorg Kleine Tebbe, Marek L. Kowalski29, Piotr Kuna29, Violeta Kvedariene30, Stefania La Grutta31, Désirée Larenas-Linnemann, Susanne Lau9, Daniel Laune, Lan Le, Philipp Lieberman32, Karin C. Lødrup Carlsen33, Olga Lourenço34, Gert Marien, Pedro Carreiro-Martins7, Erik Melén35, Enrica Menditto17, H. Neffen, Gregoire Mercier, Ralph Mosgues36, Joaquim Mullol37, Antonella Muraro, Leyla Namazova38, Ettore Novellino17, Robyn E O'Hehir39, Yoshitaka Okamoto25, Ken Ohta, Hae-Sim Park40, Petr Panzner41, Giovanni Passalacqua42, Nhan Pham-Thi43, David Price, Graham Roberts44, Nicolas Roche, Christine Rolland, Nelson Rosario, Dermot Ryan45, Bolesław Samoliński46, Mario Sánchez-Borges, Glenis Scadding47, Mohamed H. Shamji48, Aziz Sheikh45, Ana-Maria Todo Bom49, Sanna Toppila-Salmi22, Ioana Tsiligianni24, Marylin Valentin-Rostan, Arunas Valiulis30, Erkka Valovirta50, M. T. Ventura51, Samantha Walker, Susan Waserman2, Arzu Yorgancioglu52, Torsten Zuberbier9 
TL;DR: Next-generation guidelines for the pharmacologic treatment of allergic rhinitis were developed by using existing GRADE-based guidelines forThe disease, real-world evidence provided by mobile technology, and additive studies (allergen chamber studies) to refine the MACVIA algorithm.
Abstract: The selection of pharmacotherapy for patients with allergic rhinitis aims to control the disease and depends on many factors. Grading of Recommendations Assessment, Development and Evaluation (GRADE) guidelines have considerably improved the treatment of allergic rhinitis. However, there is an increasing trend toward use of real-world evidence to inform clinical practice, especially because randomized controlled trials are often limited with regard to the applicability of results. The Contre les Maladies Chroniques pour un Vieillissement Actif (MACVIA) algorithm has proposed an allergic rhinitis treatment by a consensus group. This simple algorithm can be used to step up or step down allergic rhinitis treatment. Next-generation guidelines for the pharmacologic treatment of allergic rhinitis were developed by using existing GRADE-based guidelines for the disease, real-world evidence provided by mobile technology, and additive studies (allergen chamber studies) to refine the MACVIA algorithm.

237 citations

Journal ArticleDOI
TL;DR: In this paper, associations are used as a useful framework for understanding how celebrity endorsers can be used more effectively, such as repetition, overshadowing, blocking, belongingness, CS pre-exposure, association set size, and extinction.
Abstract: The use of celebrity endorsers in advertising is wide‐spread – as much as 20 percent of all advertising use some type of celebrity endorser. Marketers invest significant dollars in securing the promotional support of well‐known individuals. Associative learning principles are presented as a useful framework for understanding how celebrity endorsers can be used more effectively. Principles such as repetition, overshadowing, blocking, belongingness, CS pre‐exposure, association set size, and extinction are introduced and linked to specific managerial suggestions for improving the use of celebrity endorsers.

236 citations

Journal ArticleDOI
TL;DR: Results suggest that an association of NS5A and p53 allows transcriptional modulation of the p21/waf1 gene and may contribute to HCV-mediated pathogenesis.
Abstract: We have previously demonstrated that hepatitis C virus (HCV) NS5A protein promotes cell growth and transcriptionally regulates the p21/waf1 promoter, a downstream effector gene of p53. In this study, we investigated the molecular mechanism of NS5A-mediated transcriptional repression of p21/waf1. We observed that transcriptional repression of the p21/waf1 gene by NS5A is p53 dependent by using p53 wild-type (+/+) and null (-/-) cells. Interestingly, p53-mediated transcriptional activation from a synthetic promoter containing multiple p53 binding sites (PG13-LUC) was abrogated following expression of HCV NS5A. Additional studies using pull-down experiments, in vivo coimmunoprecipitation, and mammalian two-hybrid assays demonstrated that NS5A physically associates with p53. Confocal microscopy revealed sequestration of p53 in the perinuclear membrane and colocalization with NS5A in transfected HepG2 and Saos-2 cells. Together these results suggest that an association of NS5A and p53 allows transcriptional modulation of the p21/waf1 gene and may contribute to HCV-mediated pathogenesis.

236 citations

Journal ArticleDOI
TL;DR: Familial factors have an important influence on risk for pathological gambling behavior and the increasing access to legalized gambling is likely to result in a higher prevalence of pathological betting behavior among individuals who are more vulnerable because of familial factors.
Abstract: ackground. Pathological gambling is becoming an increasing problem in the United States as the number of legalized gambling establishments grows. To examine vulnerability to pathological gambling, we estimated the familial contributions (i.e. inherited factors and/or experiences shared by twin siblings during childhood) to DSM-III-R pathological gambling symptoms and disorder. Methods. Data were obtained from a telephone interview performed in 1991-92 utilizing the Diagnostic Interview Schedule Version III-Revised. Interviews were administered to 6718 members of the nationally distributed Vietnam Era Twin Registry of male-male monozygotic and dizygotic twin pairs who served in the military during the Vietnam era. Results. Inherited factors explain between 35% (95% CI: 28%, 42%) and 54% (95% CI: 39%, 67%) of the liability for the five individual symptoms of pathological gambling behavior that could be estimated statistically. In addition, familial factors explain 56% (95% CI: 36%, 71%) of the report of three or more symptoms of pathological gambling and 62% (95% CI: 40%, 79%) of the diagnosis of pathological gambling disorder (four or more symptoms). Conclusions. Familial factors have an important influence on risk for pathological gambling behavior. The increasing access to legalized gambling is likely to result in a higher prevalence of pathological gambling behavior among individuals who are more vulnerable because of familial factors.

236 citations


Authors

Showing all 19076 results

NameH-indexPapersCitations
Douglas G. Altman2531001680344
John E. Morley154137797021
Roberto Romero1511516108321
Daniel S. Berman141136386136
Gregory J. Gores14168666269
Thomas J. Smith1401775113919
Richard T. Lee13181062164
George K. Aghajanian12127748203
Reza Malekzadeh118900139272
Robert N. Weinreb117112459101
Leslee J. Shaw11680861598
Thomas J. Ryan11667567462
Josep M. Llovet11639983871
Robert V. Farese11547348754
Michael Horowitz11298246952
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202344
2022233
20211,618
20201,600
20191,457
20181,375