Institution
Boise State University
Education•Boise, Idaho, United States•
About: Boise State University is a education organization based out in Boise, Idaho, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 3698 authors who have published 8664 publications receiving 210163 citations. The organization is also known as: BSU & Boise State.
Topics: Population, Poison control, Educational technology, Snow, Zircon
Papers published on a yearly basis
Papers
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TL;DR: Lower extremity kinematics following implementation of the Sportsmetrics Warm-Up for Injury Prevention and Performance (WIPP) training program indicate that 8 weeks of WIPP training did not significantly alter landing strategies.
Abstract: The purpose of this study was to examine lower extremity kinematics following implementation of the Sportsmetrics Warm-Up for Injury Prevention and Performance (WIPP) training program. The hypothesis was that there would be no difference in landing mechanics between 2 groups of female youth soccer players (9-11 years of age), with 1 group (Treatment) completing the 8-week-duration (2 days per week) WIPP program and the other serving as a Control group. We recruited 21 female youth soccer players. Treatment (n = 12) and Control (n = 9) groups were established. Using the Sportsmetrics Software for Analysis of Jumping Mechanics, we analyzed lower extremity movement during landing after subjects jumped off a 30.5-cm box and immediately went into a vertical jump. No significant changes in knee separation values were observed in the Treatment group after 8 weeks of WIPP training. The results indicate that 8 weeks of WIPP training did not significantly alter landing strategies.
74 citations
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TL;DR: For example, this paper found that satisfaction with some life domains increased after middle age (e.g. social life), whereas satisfaction with other life domains decreased (i.e. health).
Abstract: Although aging is associated with declines in many life domains, overall life satisfaction does not appear to decline sharply with age. One explanation for this paradoxical finding is that several life domains improve with age such that increases in certain domains balance the decreases in others. Because different issues are problematic at different life stages, it is likely that specific domains display different life trajectories compared to overall life satisfaction. The observed pattern for overall life satisfaction is likely due to a bottom-up approach. Life and domain satisfaction data from 8 years of the British Household Panel Study were analyzed to evaluate this hypothesis. Results indicated that satisfaction with some life domains increased after middle age (e.g. social life), whereas satisfaction with other life domains decreased (e.g. health). Additionally, results illustrated that although domain satisfaction scores demonstrate distinct trajectories, the aggregate of these distinct domains resembled the overall life satisfaction trajectory. These findings have implications for top-down and bottom-up models of life satisfaction.
74 citations
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01 Aug 2016TL;DR: A new release of OpenDial, an open-source toolkit for building and evaluating spoken dialogue systems that relies on an information-state architecture where the dialogue state is represented as a Bayesian network and acts as a shared memory for all system modules.
Abstract: We present a new release of OpenDial, an open-source toolkit for building and evaluating spoken dialogue systems. The toolkit relies on an information-state architecture where the dialogue state is represented as a Bayesian network and acts as a shared memory for all system modules. The domain models are specified via probabilistic rules encoded in XML. OpenDial has been deployed in several application domains such as human‐robot interaction, intelligent tutoring systems and multi-modal in-car driver assistants.
74 citations
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29 Jun 2005TL;DR: In this article, the authors consider the question of which of the major classes defined by topological diagonalizations of open or Borel covers is hereditary and show that none of them are provably hereditary.
Abstract: We consider the question of which of the major classes defined by topological diagonalizations of open or Borel covers is hereditary. Many of the classes in the open case are not hereditary already in ZFC, and none of them are provably hereditary. This is in contrast with the Borel case, where some of the classes are provably hereditary. Two of the examples are counter-examples of sizes 0 and b, respectively, to the Menger and Hurewicz Conjectures, and one of them answers a question of Steprans on perfectly meager sets.
74 citations
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TL;DR: Characterization of M-superfamily peptides has demonstrated that diversity in cystine connectivity occurs between different branches of peptides even though the cysteine pattern remains consistent, indicating an active area of research within the scientific community.
Abstract: The focus of this review is the M-superfamily of Conus venom peptides. Disulfide rich peptides belonging to the M-superfamily have three loop regions and the cysteine arrangement: CC–C–C–CC, where the dashes represent loops one, two, and three, respectively. Characterization of M-superfamily peptides has demonstrated that diversity in cystine connectivity occurs between different branches of peptides even though the cysteine pattern remains consistent. This superfamily is subdivided into five branches, M-1 through M-5, based on the number of residues in the third loop region, between the fourth and fifth cysteine residues. M-superfamily peptides appear to be ubiquitous in Conus venom. They are largely unexplained in indigenous biological function, and they represent an active area of research within the scientific community.
74 citations
Authors
Showing all 3902 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jeffrey G. Andrews | 110 | 562 | 63334 |
Zhu Han | 109 | 1407 | 48725 |
Brian R. Flay | 89 | 325 | 26390 |
Jeffrey W. Elam | 83 | 435 | 24543 |
Pramod K. Varshney | 79 | 894 | 30834 |
Scott Fendorf | 79 | 244 | 21035 |
Gregory F. Ball | 76 | 342 | 21193 |
Yan Wang | 72 | 1253 | 30710 |
David C. Dunand | 72 | 527 | 19212 |
Juan Carlos Diaz-Velez | 64 | 334 | 14252 |
Michael K. Lindell | 62 | 186 | 19865 |
Matthew J. Kohn | 62 | 164 | 13741 |
Maged Elkashlan | 61 | 294 | 14736 |
Bernard Yurke | 58 | 242 | 17897 |
Miguel Ferrer | 58 | 478 | 11560 |