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Institution

University of South Carolina

EducationColumbia, South Carolina, United States
About: University of South Carolina is a education organization based out in Columbia, South Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 25792 authors who have published 59995 publications receiving 2246122 citations. The organization is also known as: USC & U.S.C..


Papers
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Journal ArticleDOI
TL;DR: In this paper, a model of firm risk-return relations in which risk was conceptualized in terms of downside outcomes was tested, drawing on the behavioral theory of the firm, and a set of hypothese...
Abstract: This study tested a model of firm risk-return relations in which risk was conceptualized in terms of downside outcomes. Drawing on the behavioral theory of the firm, we developed a set of hypothese...

385 citations

Journal ArticleDOI
10 Jul 2014
TL;DR: This framework proposes a process for determining a robot's autonomy level by categorizing autonomy along a 10-point taxonomy and considering HRI variables (e.g., acceptance, situation awareness, reliability) that may be influenced by the LORA.
Abstract: Autonomy is a critical construct related to human-robot interaction (HRI) and varies widely across robot platforms. Levels of robot autonomy (LORA), ranging from teleoperation to fully autonomous systems, influence the way in which humans and robots interact with one another. Thus, there is a need to understand HRI by identifying variables that influence---and are influenced by---robot autonomy. Our overarching goal is to develop a framework for LORA in HRI. To reach this goal, our framework draws links between HRI and human-automation interaction, a field with a long history of studying and understanding human-related variables. The construct of autonomy is reviewed and redefined within the context of HRI. Additionally, this framework proposes a process for determining a robot's autonomy level by categorizing autonomy along a 10-point taxonomy. The framework is intended to be treated as a guideline for determining autonomy, categorizing the LORA along a qualitative taxonomy and considering HRI variables (e.g., acceptance, situation awareness, reliability) that may be influenced by the LORA.

385 citations

Journal ArticleDOI
06 Oct 2000-Science
TL;DR: This work has identified a calmodulin-related protein (termed rgs-CaM) that interacts with HC-Pro and suppresses gene silencing in PTGS, the first report identifying a cellular suppressor of PTGS.
Abstract: Posttranscriptional gene silencing (PTGS) is an ancient eukaryotic regulatory mechanism in which a particular RNA sequence is targeted and destroyed. The helper component-proteinase (HC-Pro) of plant potyviruses suppresses PTGS in plants. Using a yeast two-hybrid system, we identified a calmodulin-related protein (termed rgs-CaM) that interacts with HC-Pro. Here we report that rgs-CaM, like HC-Pro itself, suppresses gene silencing. Our work is the first report identifying a cellular suppressor of PTGS.

385 citations

Journal ArticleDOI
TL;DR: Additional PA mediator-intervention studies using recommended statistical methods are necessary to truly test if theory-based PA interventions are effective due to predicted changes in theoretical constructs.

385 citations

Journal ArticleDOI
TL;DR: Concomitant developments in cheminformatics including identification, design and manipulation of drug-like small molecule libraries have been achieved and their utility on a comparative and target dependent basis is discussed.

384 citations


Authors

Showing all 26109 results

NameH-indexPapersCitations
Robert M. Califf1961561167961
Eric J. Topol1931373151025
Bernard Rosner1901162147661
Hyun-Chul Kim1764076183227
James F. Sallis169825144836
Steven N. Blair165879132929
Rodney S. Ruoff164666194902
David Cella1561258106402
Claude Bouchard1531076115307
Wei Zheng1511929120209
James M. Tour14385991364
Tim Adye1431898109010
John D. Scott13562583878
Anders Pape Møller135103471713
Lars Klareskog13169763281
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023110
2022503
20213,472
20203,344
20193,000
20182,668