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Institution

University of Arkansas

EducationFayetteville, Arkansas, United States
About: University of Arkansas is a education organization based out in Fayetteville, Arkansas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 17225 authors who have published 33329 publications receiving 941102 citations. The organization is also known as: Arkansas & UA.


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Journal ArticleDOI
TL;DR: Phage-assisted continuous evolution selections are designed to rapidly produce highly active and selective orthogonal AARSs with high activity and amino acid specificity and the capability of PACE is established to efficiently evolve orthogsonal Aarss withHigh activity and Amino acid specificity.
Abstract: Directed evolution of orthogonal aminoacyl-tRNA synthetases (AARSs) enables site-specific installation of noncanonical amino acids (ncAAs) into proteins. Traditional evolution techniques typically produce AARSs with greatly reduced activity and selectivity compared to their wild-type counterparts. We designed phage-assisted continuous evolution (PACE) selections to rapidly produce highly active and selective orthogonal AARSs through hundreds of generations of evolution. PACE of a chimeric Methanosarcina spp. pyrrolysyl-tRNA synthetase (PylRS) improved its enzymatic efficiency (kcat/KMtRNA) 45-fold compared to the parent enzyme. Transplantation of the evolved mutations into other PylRS-derived synthetases improved yields of proteins containing noncanonical residues up to 9.7-fold. Simultaneous positive and negative selection PACE over 48 h greatly improved the selectivity of a promiscuous Methanocaldococcus jannaschii tyrosyl-tRNA synthetase variant for site-specific incorporation of p-iodo-L-phenylalanine. These findings offer new AARSs that increase the utility of orthogonal translation systems and establish the capability of PACE to efficiently evolve orthogonal AARSs with high activity and amino acid specificity.

180 citations

Journal ArticleDOI
TL;DR: Six male and 6 female adult nonperpetrators sorted into categories the stated motivations for domestic violence of 215 male and 66 female court-referred perpetrators, revealing motivations specific to gender of perpetrator: retaliation, self-defense, escape, and punishment.
Abstract: National survey research suggests that males and females are equally likely to perpetrate domestic violence, but surveys have not examined the interpersonal context or motivation for domestic violence. The questioning of identified partner assaulters suggests that females use violence for self-defense and escape, whereas males use violence to exercise control, punish, or demand attention. The perception of perpetrator violence, however, appears also to be a function of the gender of the individual appraising the violence. Six male and 6 female adult nonperpetrators sorted into categories the stated motivations for domestic violence of 215 male and 66 female court-referred perpetrators. Factor analysis revealed (a) motivations common to all: control, anger expression, and coercive communication; (b) motivations specific to gender of perpetrator: retaliation, self-defense, escape, and punishment; and (c) motivations specific to gender of perpetrator and sorter: alcohol use and response to verbal abuse.

180 citations

Journal ArticleDOI
Hannah Moshontz1, Lorne Campbell2, Charles R. Ebersole3, Hans IJzerman4, Heather L. Urry5, Patrick S. Forscher6, Jon Grahe7, Randy J. McCarthy8, Erica D. Musser9, Jan Antfolk10, Christopher M. Castille11, Thomas Rhys Evans12, Susann Fiedler13, Jessica Kay Flake14, Diego A. Forero, Steve M. J. Janssen15, Justin Robert Keene16, John Protzko17, Balazs Aczel18, Sara Álvarez Solas, Daniel Ansari2, Dana Awlia19, Ernest Baskin20, Carlota Batres21, Martha Lucia Borras-Guevara22, Cameron Brick23, Priyanka Chandel24, Armand Chatard25, Armand Chatard26, William J. Chopik27, David Clarance, Nicholas A. Coles28, Katherine S. Corker29, Barnaby J. W. Dixson30, Vilius Dranseika31, Yarrow Dunham32, Nicholas W. Fox33, Gwendolyn Gardiner34, S. Mason Garrison35, Tripat Gill36, Amanda C. Hahn37, Bastian Jaeger38, Pavol Kačmár39, Gwenaël Kaminski, Philipp Kanske40, Zoltan Kekecs41, Melissa Kline42, Monica A. Koehn43, Pratibha Kujur24, Carmel A. Levitan44, Jeremy K. Miller45, Ceylan Okan43, Jerome Olsen46, Oscar Oviedo-Trespalacios47, Asil Ali Özdoğru48, Babita Pande24, Arti Parganiha24, Noorshama Parveen24, Gerit Pfuhl, Sraddha Pradhan24, Ivan Ropovik49, Nicholas O. Rule50, Blair Saunders51, Vidar Schei52, Kathleen Schmidt53, Margaret Messiah Singh24, Miroslav Sirota54, Crystal N. Steltenpohl55, Stefan Stieger56, Daniel Storage57, Gavin Brent Sullivan12, Anna Szabelska58, Christian K. Tamnes59, Miguel A. Vadillo60, Jaroslava Varella Valentova61, Wolf Vanpaemel62, Marco Antonio Correa Varella61, Evie Vergauwe63, Mark Verschoor64, Michelangelo Vianello65, Martin Voracek46, Glenn Patrick Williams66, John Paul Wilson67, Janis Zickfeld59, Jack Arnal68, Burak Aydin, Sau-Chin Chen69, Lisa M. DeBruine70, Ana María Fernández71, Kai T. Horstmann72, Peder M. Isager73, Benedict C. Jones70, Aycan Kapucu74, Hause Lin50, Michael C. Mensink75, Gorka Navarrete76, Silan Ma77, Christopher R. Chartier19 
Duke University1, University of Western Ontario2, University of Virginia3, University of Grenoble4, Tufts University5, University of Arkansas6, Pacific Lutheran University7, Northern Illinois University8, Florida International University9, Åbo Akademi University10, Nicholls State University11, Coventry University12, Max Planck Society13, McGill University14, University of Nottingham Malaysia Campus15, Texas Tech University16, University of California, Santa Barbara17, Eötvös Loránd University18, Ashland University19, Saint Joseph's University20, Franklin & Marshall College21, University of St Andrews22, University of Cambridge23, Pandit Ravishankar Shukla University24, University of Poitiers25, Centre national de la recherche scientifique26, Michigan State University27, University of Tennessee28, Grand Valley State University29, University of Queensland30, Vilnius University31, Yale University32, Rutgers University33, University of California, Riverside34, Vanderbilt University35, Wilfrid Laurier University36, Humboldt State University37, Tilburg University38, University of Pavol Jozef Šafárik39, Dresden University of Technology40, Lund University41, Massachusetts Institute of Technology42, University of Sydney43, Occidental College44, Willamette University45, University of Vienna46, Queensland University of Technology47, Üsküdar University48, University of Prešov49, University of Toronto50, University of Dundee51, Norwegian School of Economics52, Southern Illinois University Carbondale53, University of Essex54, University of Southern Indiana55, University of Health Sciences Antigua56, University of Illinois at Urbana–Champaign57, Queen's University Belfast58, University of Oslo59, Autonomous University of Madrid60, University of São Paulo61, Katholieke Universiteit Leuven62, University of Geneva63, University of Groningen64, University of Padua65, Abertay University66, Montclair State University67, McDaniel College68, Tzu Chi University69, University of Glasgow70, University of Santiago, Chile71, Humboldt University of Berlin72, Eindhoven University of Technology73, Ege University74, University of Wisconsin–Stout75, Adolfo Ibáñez University76, University of the Philippines Diliman77
01 Oct 2018
TL;DR: The Psychological Science Accelerator is a distributed network of laboratories designed to enable and support crowdsourced research projects that will advance understanding of mental processes and behaviors by enabling rigorous research and systematic examination of its generalizability.
Abstract: Concerns about the veracity of psychological research have been growing. Many findings in psychological science are based on studies with insufficient statistical power and nonrepresentative samples, or may otherwise be limited to specific, ungeneralizable settings or populations. Crowdsourced research, a type of large-scale collaboration in which one or more research projects are conducted across multiple lab sites, offers a pragmatic solution to these and other current methodological challenges. The Psychological Science Accelerator (PSA) is a distributed network of laboratories designed to enable and support crowdsourced research projects. These projects can focus on novel research questions or replicate prior research in large, diverse samples. The PSA’s mission is to accelerate the accumulation of reliable and generalizable evidence in psychological science. Here, we describe the background, structure, principles, procedures, benefits, and challenges of the PSA. In contrast to other crowdsourced research networks, the PSA is ongoing (as opposed to time limited), efficient (in that structures and principles are reused for different projects), decentralized, diverse (in both subjects and researchers), and inclusive (of proposals, contributions, and other relevant input from anyone inside or outside the network). The PSA and other approaches to crowdsourced psychological science will advance understanding of mental processes and behaviors by enabling rigorous research and systematic examination of its generalizability.

180 citations

Journal ArticleDOI
TL;DR: Salmonella control principles may be divided into 3 broad categories: efforts to prevent contamination from entering the facility, work to reduce microbial multiplication within the plant, and procedures designed to kill the pathogen.
Abstract: SUMMARY Salmonella is a major microbial hazard in animal feed. Salmonella can persist for long periods in a wide range of materials. The lack of uniformity involved in Salmonella contamination and the large volumes of feed produced make accurate assessments of feed contamination rates difficult. Salmonella control principles may be divided into 3 broad categories: efforts to prevent contamination from entering the facility, work to reduce microbial multiplication within the plant, and procedures designed to kill the pathogen. Preventing contamination also involves controlling dust, managing the flow of equipment and humans, reducing rodent infestations, preventing contamination from wild birds, and ensuring the sanitation of transport vehicles. Reducing Salmonella multiplication in feed manufacturing facilities involves discovering microbial growth niches and reducing conditions that lead to growth. Killing Salmonella may involve thermal processing (pelleting) or chemical addition. Pelleting reduces, but may not completely eliminate, Salmonella contamination because of limitations of the process or recontamination after thermal processing. Chemical additions to control Salmonella in feed primarily involve the use of products containing organic acid, formaldehyde, or a combination of such compounds.

180 citations

Journal ArticleDOI
TL;DR: It is believed that SVWs are beginning to shape the knowledge-based and glo balized societies and economies of tomorrow, and researchers will need to build new theories and concepts for SVWs to explore the frontiers between reality and virtuality.
Abstract: Today's social virtual worlds (SVW) are beginning to realize Stephenson's vision of the metaverse: a future massive network of interconnected digital worlds. Tens of millions of people already use these kinds of environments to communicate, collaborate, and do business. Big companies are also moving into these digital realms. Thus, in a context in which the Web is becoming increasingly social, we believe that SVWs are beginning to shape the knowledge-based and glo balized societies and economies of tomorrow. Obviously, an urgent need exists to further understand SVWs and their implications for theory and practice. This article constitutes a first attempt to bring researchers into some of the business, social, technical, legal, and ethical issues related to SVWs. We anticipate that researchers will need to build new theories and concepts for SVWs, to explore the frontiers between reality and virtuality.

180 citations


Authors

Showing all 17387 results

NameH-indexPapersCitations
Robert M. Califf1961561167961
Hugh A. Sampson14781676492
Stephen Boyd138822151205
Nikhil C. Munshi13490667349
Jian-Guo Bian128121980964
Bart Barlogie12677957803
Robert R. Wolfe12456654000
Daniel B. Mark12457678385
E. Magnus Ohman12462268976
Benoît Roux12049362215
Robert C. Haddon11257752712
Rodney J. Bartlett10970056154
Baoshan Xing10982348944
Gareth J. Morgan109101952957
Josep Dalmau10856849331
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202380
2022244
20211,973
20201,889
20191,737
20181,636