Institution
San Diego State University
Education•San Diego, California, United States•
About: San Diego State University is a education organization based out in San Diego, California, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 12418 authors who have published 27950 publications receiving 1192375 citations. The organization is also known as: SDSU & San Diego State College.
Topics: Population, Poison control, Health care, Mental health, Public health
Papers published on a yearly basis
Papers
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University of California, Berkeley1, Ames Research Center2, San Jose State University3, Lowell Observatory4, Jet Propulsion Laboratory5, University of Texas at Austin6, Harvard University7, Las Cumbres Observatory Global Telescope Network8, Space Telescope Science Institute9, Niels Bohr Institute10, National Center for Atmospheric Research11, Aarhus University12, NASA Exoplanet Science Institute13, Massachusetts Institute of Technology14, Fermilab15, University of California, Santa Cruz16, Yale University17, University of Florida18, California Institute of Technology19, University of California, Santa Barbara20, University of Hertfordshire21, San Diego State University22, Carnegie Institution for Science23, Lawrence Hall of Science24, Villanova University25
TL;DR: In this paper, the authors report the distribution of planets as a function of planet radius, orbital period, and stellar effective temperature for orbital periods less than 50 days around solar-type (GK) stars.
Abstract: We report the distribution of planets as a function of planet radius, orbital period, and stellar effective temperature for orbital periods less than 50 days around solar-type (GK) stars. These results are based on the 1235 planets (formally "planet candidates") from the Kepler mission that include a nearly complete set of detected planets as small as 2 R_⊕. For each of the 156,000 target stars, we assess the detectability of planets as a function of planet radius, R_p, and orbital period, P, using a measure of the detection efficiency for each star. We also correct for the geometric probability of transit, R_*/a. We consider first Kepler target stars within the "solar subset" having T_eff = 4100-6100 K, log g = 4.0-4.9, and Kepler magnitude K_p 2 R_⊕ we measure an occurrence of less than 0.001 planets per star. For all planets with orbital periods less than 50 days, we measure occurrence of 0.130 ± 0.008, 0.023 ± 0.003, and 0.013 ± 0.002 planets per star for planets with radii 2-4, 4-8, and 8-32 R_⊕, in agreement with Doppler surveys. We fit occurrence as a function of P to a power-law model with an exponential cutoff below a critical period P_0. For smaller planets, P_0 has larger values, suggesting that the "parking distance" for migrating planets moves outward with decreasing planet size. We also measured planet occurrence over a broader stellar T_eff range of 3600-7100 K, spanning M0 to F2 dwarfs. Over this range, the occurrence of 2-4 R_⊕ planets in the Kepler field increases with decreasing T_eff, with these small planets being seven times more abundant around cool stars (3600-4100 K) than the hottest stars in our sample (6600-7100 K).
1,159 citations
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TL;DR: This article found a statistically significant relationship exists between TV viewing and body fatness among children and youth, although it is likely to be too small to be of substantial clinical relevance, and the strength of these relationships remains virtually unchanged even after correcting for common sources of bias known to impact study outcomes.
Abstract: OBJECTIVE: To review the empirical evidence of associations between television (TV) viewing, video/computer game use and (a) body fatness, and (b) physical activity. DESIGN: Meta-analysis. METHOD: Published English-language studies were located from computerized literature searches, bibliographies of primary studies and narrative reviews, and manual searches of personal archives. Included studies presented at least one empirical association between TV viewing, video/computer game use and body fatness or physical activity among samples of children and youth aged 3–18 y. MAIN OUTCOME MEASURE: The mean sample-weighted corrected effect size (Pearson r). RESULTS: Based on data from 52 independent samples, the mean sample-weighted effect size between TV viewing and body fatness was 0.066 (95% CI=0.056–0.078; total N=44 707). The sample-weighted fully corrected effect size was 0.084. Based on data from six independent samples, the mean sample-weighted effect size between video/computer game use and body fatness was 0.070 (95% CI=−0.048 to 0.188; total N=1722). The sample-weighted fully corrected effect size was 0.128. Based on data from 39 independent samples, the mean sample-weighted effect size between TV viewing and physical activity was −0.096 (95% CI=−0.080 to −0.112; total N=141 505). The sample-weighted fully corrected effect size was −0.129. Based on data from 10 independent samples, the mean sample-weighted effect size between video/computer game use and physical activity was −0.104 (95% CI=−0.080 to −0.128; total N=119 942). The sample-weighted fully corrected effect size was −0.141. CONCLUSION: A statistically significant relationship exists between TV viewing and body fatness among children and youth although it is likely to be too small to be of substantial clinical relevance. The relationship between TV viewing and physical activity is small but negative. The strength of these relationships remains virtually unchanged even after correcting for common sources of bias known to impact study outcomes. While the total amount of time per day engaged in sedentary behavior is inevitably prohibitive of physical activity, media-based inactivity may be unfairly implicated in recent epidemiologic trends of overweight and obesity among children and youth. Relationships between sedentary behavior and health are unlikely to be explained using single markers of inactivity, such as TV viewing or video/computer game use.
1,152 citations
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TL;DR: SourceTracker, a Bayesian approach to estimate the proportion of contaminants in a given community that come from possible source environments, is presented, and microbial surveys from neonatal intensive care units, offices and molecular biology laboratories are applied.
Abstract: Contamination is a critical issue in high-throughput metagenomic studies, yet progress toward a comprehensive solution has been limited. We present SourceTracker, a Bayesian approach to estimate the proportion of contaminants in a given community that come from possible source environments. We applied SourceTracker to microbial surveys from neonatal intensive care units (NICUs), offices and molecular biology laboratories, and provide a database of known contaminants for future testing.
1,131 citations
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TL;DR: Policies for managing plastic debris are outdated and threaten the health of people and wildlife, say Chelsea M Rochman, Mark Anthony Browne and colleagues.
Abstract: Policies for managing plastic debris are outdated and threaten the health of people and wildlife, say Chelsea M. Rochman, Mark Anthony Browne and colleagues.
1,130 citations
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TL;DR: Results supported hypotheses regarding the relationship of resilience to personality dimensions and coping styles and augment the literature that seeks to better define resilience and provide evidence for the construct validity of the Connor-Davidson Resilience Scale.
1,130 citations
Authors
Showing all 12533 results
Name | H-index | Papers | Citations |
---|---|---|---|
David R. Williams | 178 | 2034 | 138789 |
James F. Sallis | 169 | 825 | 144836 |
Steven Williams | 144 | 1375 | 86712 |
Larry R. Squire | 143 | 472 | 85306 |
Murray B. Stein | 128 | 745 | 89513 |
Robert Edwards | 121 | 775 | 74552 |
Roberto Kolter | 120 | 315 | 52942 |
Jack E. Dixon | 115 | 408 | 47201 |
Sonia Ancoli-Israel | 115 | 520 | 46045 |
John D. Lambris | 114 | 651 | 48203 |
Igor Grant | 113 | 791 | 55147 |
Kenneth H. Nealson | 108 | 483 | 51100 |
Mark Westoby | 108 | 316 | 59095 |
Eric Courchesne | 107 | 240 | 41200 |
Marc A. Schuckit | 106 | 643 | 43484 |