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Institution

Temple University

EducationPhiladelphia, Pennsylvania, United States
About: Temple University is a education organization based out in Philadelphia, Pennsylvania, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 32154 authors who have published 64375 publications receiving 2219828 citations.


Papers
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Journal ArticleDOI
TL;DR: The hypothesis that most of the relation between martial conflict and adolescent adjustment problems could be explained through perturbations in the parent-child relationship received considerable support; the only direct effect of conflict was on externalizing problems in the intact sample.
Abstract: The present study was concerned with the development and testing of a structural equation model wherein the relation of interparental conflict to the adjustment problems of young adolescents is mediated through its impact on 3 aspects of parenting behavior: lax control, psychological control, and parental rejection/withdrawal. The model was tested separately on a sample of 46 young adolescents from intact families and a group of 51 adolescents from recently divorced families. The hypothesis that most of the relation between martial conflict and adolescent adjustment problems could be explained through perturbations in the parent-child relationship received considerable support; the only direct effect of conflict was on externalizing problems in the intact sample. The results also suggested that the mediational patterns were somewhat different for the 2 samples, and that the model accounts for a greater proportion of the variance in the adjustment problems of adolescents from intact homes than of those from recently divorced families.

517 citations

Journal ArticleDOI
TL;DR: In this paper, the authors survey 365 analysts and conduct 18 follow-up interviews covering a wide range of topics, including the inputs to analysts' earnings forecasts and stock recommendations, the value of their industry knowledge, the determinants of their compensation, the career benefits of Institutional Investor All-Star status, and the factors they consider indicative of high-quality earnings.
Abstract: Our objective is to penetrate the “black box” of sell-side financial analysts by providing new insights into the inputs analysts use and the incentives they face. We survey 365 analysts and conduct 18 follow-up interviews covering a wide range of topics, including the inputs to analysts’ earnings forecasts and stock recommendations, the value of their industry knowledge, the determinants of their compensation, the career benefits of Institutional Investor All-Star status, and the factors they consider indicative of high-quality earnings. One important finding is that private communication with management is a more useful input to analysts’ earnings forecasts and stock recommendations than their own primary research, recent earnings performance, and recent 10-K and 10-Q reports. Another notable finding is that issuing earnings forecasts and stock recommendations that are well below the consensus often leads to an increase in analysts’ credibility with their investing clients. We conduct cross-sectional analyses that highlight the impact of analyst and brokerage characteristics on analysts’ inputs and incentives. Our findings are relevant to investors, managers, analysts, and academic researchers.

514 citations

Journal ArticleDOI
TL;DR: The release ofDatamonkey 2.0, a completely re-engineered version of the Datamonkey web-server for analyzing evolutionary signatures in sequence data, and HyPhy Vision, an accompanying JavaScript application for visualizing analysis results.
Abstract: Inference of how evolutionary forces have shaped extant genetic diversity is a cornerstone of modern comparative sequence analysis. Advances in sequence generation and increased statistical sophistication of relevant methods now allow researchers to extract ever more evolutionary signal from the data, albeit at an increased computational cost. Here, we announce the release of Datamonkey 2.0, a completely re-engineered version of the Datamonkey web-server for analyzing evolutionary signatures in sequence data. For this endeavor, we leveraged recent developments in open-source libraries that facilitate interactive, robust, and scalable web application development. Datamonkey 2.0 provides a carefully curated collection of methods for interrogating coding-sequence alignments for imprints of natural selection, packaged as a responsive (i.e. can be viewed on tablet and mobile devices), fully interactive, and API-enabled web application. To complement Datamonkey 2.0, we additionally release HyPhy Vision, an accompanying JavaScript application for visualizing analysis results. HyPhy Vision can also be used separately from Datamonkey 2.0 to visualize locally executed HyPhy analyses. Together, Datamonkey 2.0 and HyPhy Vision showcase how scientific software development can benefit from general-purpose open-source frameworks. Datamonkey 2.0 is freely and publicly available at http://www.datamonkey.org, and the underlying codebase is available from https://github.com/veg/datamonkey-js.

514 citations

Journal ArticleDOI
TL;DR: Evidence related to the dual systems model of adolescent risk taking is reviewed, which encompasses both the psychological and neuroimaging literatures.

513 citations

Book
01 Jan 1972
TL;DR: Learning from Las Vegas : the forgotten symbolism of architectural form as mentioned in this paper, a monographie published in the Architectural forum of the American Institute of Technology, Washington, DC, USA.
Abstract: Manifeste sur les theories architecturales et urbaines, marquant la naissance du postmodernisme en architecture, ayant fait l'objet d'une controverse pendant les vingt annees suivant sa parution. - Initialement publ. dans la revue americaine "The Architectural forum", puis repris en monographie en 1972. 2e ed. revisee en 1977 sous le titre "Learning from Las Vegas : the forgotten symbolism of architectural form"

511 citations


Authors

Showing all 32360 results

NameH-indexPapersCitations
Robert J. Lefkowitz214860147995
Rakesh K. Jain2001467177727
Virginia M.-Y. Lee194993148820
Yury Gogotsi171956144520
Timothy A. Springer167669122421
Ralph A. DeFronzo160759132993
James J. Collins15166989476
Robert J. Glynn14674888387
Edward G. Lakatta14685888637
Steven Williams144137586712
Peter Buchholz143118192101
David Goldstein1411301101955
Scott D. Solomon1371145103041
Donald B. Rubin132515262632
Jeffery D. Molkentin13148261594
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202366
2022335
20213,475
20203,281
20193,166
20183,019