Institution
San Jose State University
Education•San Jose, California, United States•
About: San Jose State University is a education organization based out in San Jose, California, United States. It is known for research contribution in the topics: Computer science & Population. The organization has 8014 authors who have published 13716 publications receiving 349388 citations. The organization is also known as: San Jose State University & SJSU.
Papers published on a yearly basis
Papers
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Ames Research Center1, University of California, Berkeley2, San Jose State University3, Las Cumbres Observatory Global Telescope Network4, Aarhus University5, University of Texas at Austin6, Lowell Observatory7, California Institute of Technology8, Harvard University9, Space Telescope Science Institute10, Goddard Space Flight Center11, United States Department of the Navy12, Carnegie Institution for Science13, University of Washington14, York University15, University of Hawaii16, Marshall Space Flight Center17
TL;DR: The Kepler mission as mentioned in this paper was designed with the explicit capability to detect Earth-size planets in the habitable zone of solar-like stars using the transit photometry method, and the results from just 43 days of data along with ground-based follow-up observations have identified five new transiting planets with measurements of their masses, radii, and orbital periods.
Abstract: The Kepler Mission, launched on 2009 March 6, was designed with the explicit capability to detect Earth-size planets in the habitable zone of solar-like stars using the transit photometry method. Results from just 43 days of data along with ground-based follow-up observations have identified five new transiting planets with measurements of their masses, radii, and orbital periods. Many aspects of stellar astrophysics also benefit from the unique, precise, extended, and nearly continuous data set for a large number and variety of stars. Early results for classical variables and eclipsing stars show great promise. To fully understand the methodology, processes, and eventually the results from the mission, we present the underlying rationale that ultimately led to the flight and ground system designs used to achieve the exquisite photometric performance. As an example of the initial photometric results, we present variability measurements that can be used to distinguish dwarf stars from red giants.
1,203 citations
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TL;DR: A review of empirical studies that directly investigated the overseas adjustment of expatriate managers revealed four dimensions that were related to successful expat acculturation: (1) the self-oriented dimension; (2) the others-oriented dimensions; (3) the perceptual dimension; and (4) the cultural-toughness dimension.
Abstract: A review of empirical studies that directly investigated the overseas adjustment of expatriate managers revealed four dimensions that were related to successful expatriate acculturation: (1) the “self-oriented” dimension; (2) the “others-oriented” dimension; (3) the “perceptual” dimension; and (4) the “cultural-toughness” dimension. The study's implications for expatriate selection and training procedures in multinational corporations are discussed.
1,173 citations
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San Jose State University1, Ames Research Center2, Las Cumbres Observatory Global Telescope Network3, Harvard University4, University of California, Berkeley5, University of Florida6, Pennsylvania State University7, Georgia State University8, NASA Exoplanet Science Institute9, California Institute of Technology10, Carnegie Institution for Science11, University of Copenhagen12, Aarhus University13, University of Texas at Austin14, Massachusetts Institute of Technology15, Search for extraterrestrial intelligence16, Lawrence Hall of Science17, University of Hertfordshire18, Villanova University19, Fermilab20, Princeton University21, San Diego State University22
TL;DR: In this paper, the authors used the noise-weighted robust averaging of multi-quarter photo-center offsets derived from difference image analysis, which identifies likely background eclipsing binaries.
Abstract: New transiting planet candidates are identified in sixteen months (May 2009 - September 2010) of data from the Kepler spacecraft. Nearly five thousand periodic transit-like signals are vetted against astrophysical and instrumental false positives yielding 1,091 viable new planet candidates, bringing the total count up to over 2,300. Improved vetting metrics are employed, contributing to higher catalog reliability. Most notable is the noise-weighted robust averaging of multi-quarter photo-center offsets derived from difference image analysis which identifies likely background eclipsing binaries. Twenty-two months of photometry are used for the purpose of characterizing each of the new candidates. Ephemerides (transit epoch, T_0, and orbital period, P) are tabulated as well as the products of light curve modeling: reduced radius (Rp/R*), reduced semi-major axis (d/R*), and impact parameter (b). The largest fractional increases are seen for the smallest planet candidates (197% for candidates smaller than 2Re compared to 52% for candidates larger than 2Re) and those at longer orbital periods (123% for candidates outside of 50-day orbits versus 85% for candidates inside of 50-day orbits). The gains are larger than expected from increasing the observing window from thirteen months (Quarter 1-- Quarter 5) to sixteen months (Quarter 1 -- Quarter 6). This demonstrates the benefit of continued development of pipeline analysis software. The fraction of all host stars with multiple candidates has grown from 17% to 20%, and the paucity of short-period giant planets in multiple systems is still evident. The progression toward smaller planets at longer orbital periods with each new catalog release suggests that Earth-size planets in the Habitable Zone are forthcoming if, indeed, such planets are abundant.
1,162 citations
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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, Aarhus University11, National Center for Atmospheric Research12, 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: In this paper, the authors propose a perspective on organizational learning, drawing on the concept of organizational culture, that can be useful in understanding the case of three small workshops that make "the finest flutes in the world."
Abstract: Traditionally, theories of organizational learning have taken one of two approaches that share a common characterization of learning but differ in focus. One approach focuses on learning by individuals in organizational contexts; the other, on individual learning as a model for organizational action. Both base their understanding of organizational learning on the cognitive activity of individual learning. However, there is something organizations do that may be called organizational learning, that is neither individuals learning in organizations nor organizations employing processes akin to learning by individuals. This form of organizational learning can be seen in the case of three small workshops that make "the finest flutes in the world." This essay proposes a perspective on organizational learning, drawing on the concept of organizational culture, that can be useful in understanding the case. This perspective provides a fruitful basis for exploring the above distinctions in both theory and practice.
1,089 citations
Authors
Showing all 8485 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jing Kong | 126 | 553 | 72354 |
I. A. Bilenko | 105 | 393 | 68801 |
V. P. Mitrofanov | 103 | 346 | 67346 |
Natalie M. Batalha | 100 | 238 | 39290 |
James F. Fries | 100 | 369 | 83589 |
Michael L. Gorodetsky | 96 | 300 | 63624 |
Owen B. Toon | 94 | 424 | 32237 |
S. E. Strigin | 93 | 271 | 62180 |
Vladimir B. Braginsky | 90 | 286 | 45601 |
Robert G. Cooper | 90 | 152 | 32548 |
Stuart S. P. Parkin | 90 | 545 | 46705 |
Sonia M. Kreidenweis | 82 | 315 | 23612 |
Gary K. Schoolnik | 81 | 233 | 27782 |
Wing-Huen Ip | 77 | 489 | 22163 |
Li Jin | 77 | 349 | 35156 |