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Institution

Washington State University

EducationPullman, Washington, United States
About: Washington State University is a education organization based out in Pullman, Washington, United States. It is known for research contribution in the topics: Population & Gene. The organization has 26947 authors who have published 57736 publications receiving 2341509 citations. The organization is also known as: WSU & Wazzu.


Papers
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Journal ArticleDOI
TL;DR: The PC-PTSD appears to be a psychometrically sound screen for PTSD with comparable operating characteristtics to other screens for mental disorders.
Abstract: Posttraumatic stress disorder (PTSD) is a frequently unrecognized anxiety disorder in primary care settings. This study reports on the development and operating characteristics of a brief 4-item screen for PTSD in primary care (PC-PTSD). 188 VA primary care patients completed the PC-PTSD, the PTSD Symptom Checklist (PCL) and the Clinician Administered Scale for PTSD (CAPS). The prevalence of PTSD was 24.5%. Signal detection analyses showed that with this base rate, the PC-PTSD had an optimally efficient cutoff score of 3 for both male and female patients. A cutoff score of 2 is recommended when sensitivity rather than efficiency is optimized. The PC-PTSD outperformed the PCL in terms of overall quality, sensitivity, specificity, efficiency, and quality of efficiency. The PC-PTSD appears to be a psychometrically sound screen for PTSD with comparable operating characteristtics to other screens for mental disorders.

1,276 citations

Journal ArticleDOI
TL;DR: The successful completion of most tasks involving more than one individual requires both conveyance and convergence processes, thus communication performance will be improved when individuals use a variety of media to perform a task, rather than just one medium.
Abstract: This paper expands, refines, and explicates media synchronicity theory, originally proposed in a conference proceeding in 1999 (Dennis and Valacich 1999). Media synchronicity theory (MST) focuses on the ability of media to support synchronicity, a shared pattern of coordinated behavior among individuals as they work together. We expand on the original propositions of MST to argue that communication is composed of two primary processes: conveyance and convergence. The familiarity of individuals with the tasks they are performing and with their coworkers will also affect the relative amounts of these two processes. Media synchronicity theory proposes that for conveyance processes, use of media supporting lower synchronicity should result in better communication performance. For convergence processes, use of media supporting higher synchronicity should result in better communication performance. We identify five capabilities of media (symbol sets, parallelism, transmission velocity, rehearsability, and reprocessability) that influence the development of synchronicity and thus the successful performance of conveyance and convergence communication processes. The successful completion of most tasks involving more than one individual requires both conveyance and convergence processes, thus communication performance will be improved when individuals use a variety of media to perform a task, rather than just one medium.

1,275 citations

Journal ArticleDOI
TL;DR: The present review examines the literature and critically evaluates the extent to which the neural consequences of repeated psychostimulant administration are associated with the expression of behavioral sensitization.

1,273 citations

Journal ArticleDOI
B. P. Abbott1, Richard J. Abbott1, T. D. Abbott2, Fausto Acernese3  +1151 moreInstitutions (125)
TL;DR: In this article, a GW signal from the merger of two stellar-mass black holes was observed by the two Advanced Laser Interferometer Gravitational-Wave Observatory detectors with a network signal-to-noise ratio of 13.5%.
Abstract: On 2017 June 8 at 02:01:16.49 UTC, a gravitational-wave (GW) signal from the merger of two stellar-mass black holes was observed by the two Advanced Laser Interferometer Gravitational-Wave Observatory detectors with a network signal-to-noise ratio of 13. This system is the lightest black hole binary so far observed, with component masses of ${12}_{-2}^{+7}\,{M}_{\odot }$ and ${7}_{-2}^{+2}\,{M}_{\odot }$ (90% credible intervals). These lie in the range of measured black hole masses in low-mass X-ray binaries, thus allowing us to compare black holes detected through GWs with electromagnetic observations. The source's luminosity distance is ${340}_{-140}^{+140}\,\mathrm{Mpc}$, corresponding to redshift ${0.07}_{-0.03}^{+0.03}$. We verify that the signal waveform is consistent with the predictions of general relativity.

1,268 citations

Journal ArticleDOI
J. Aasi1, J. Abadie1, B. P. Abbott1, Richard J. Abbott1  +884 moreInstitutions (98)
TL;DR: In this paper, the authors review the performance of the LIGO instruments during this epoch, the work done to characterize the detectors and their data, and the effect that transient and continuous noise artefacts have on the sensitivity of the detectors to a variety of astrophysical sources.
Abstract: In 2009–2010, the Laser Interferometer Gravitational-Wave Observatory (LIGO) operated together with international partners Virgo and GEO600 as a network to search for gravitational waves (GWs) of astrophysical origin. The sensitivity of these detectors was limited by a combination of noise sources inherent to the instrumental design and its environment, often localized in time or frequency, that couple into the GW readout. Here we review the performance of the LIGO instruments during this epoch, the work done to characterize the detectors and their data, and the effect that transient and continuous noise artefacts have on the sensitivity of LIGO to a variety of astrophysical sources.

1,266 citations


Authors

Showing all 27183 results

NameH-indexPapersCitations
Anil K. Jain1831016192151
Martin Karplus163831138492
Herbert A. Simon157745194597
Suvadeep Bose154960129071
Rajesh Kumar1494439140830
Kevin Murphy146728120475
Jonathan D. G. Jones12941780908
Douglas E. Soltis12761267161
Peter W. Kalivas12342852445
Chris Somerville12228445742
Pamela S. Soltis12054361080
Yuehe Lin11864155399
Howard I. Maibach116182160765
Jizhong Zhou11576648708
Farshid Guilak11048041327
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202398
2022344
20212,786
20202,783
20192,691
20182,370