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Bowling Green State University

EducationBowling Green, Ohio, United States
About: Bowling Green State University is a education organization based out in Bowling Green, Ohio, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 8315 authors who have published 16042 publications receiving 482564 citations. The organization is also known as: BGSU.


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Book ChapterDOI
17 Mar 2010
TL;DR: For example, Demerouti, Bakker, Nachreiner, and Schaufeli as discussed by the authors proposed a longitudinal study on the job demands-control model and found that the model does not take workers' individual characteristics into account, such as self-efficacy, active coping, and social support.
Abstract: Karasek's (1979) job demands-control model is one of the most widely studied models of occupational stress (de Lange, Taris, Kompier, Houtman, & Bongers, 2003). The key idea behind the job demands-control model is that control buffers the impact of job demands on strain and can help enhance employees’ job satisfaction with the opportunity to engage in challenging tasks and learn new skills (Karasek, 1979). Most research on the job demands-control has been inconsistent (de Lange et al., 2003; Van Der Deof & Maes, 1999), and the main reasons cited for this inconsistency are that different variables have been used to measure demands, control, and strain, not enough longitudinal research has been done, and the model does not take workers’ individual characteristics into account (Van Der Deof & Maes, 1999). To address these concerns, expansions have been made on the model such as integrating resources, self-efficacy, active coping, and social support into the model (Demerouti, Bakker, Nachreiner, & Schaufeli, 2001b; Johnson & Hall, 1988; Demerouti, Bakker, de Jonge, Janssen, & Schaufeli, 2001a; Landsbergis, Schnall, Deitz, Friedman, & Pickering, 1992). However, researchers have only been partially successful, and therefore, to continue reducing inconstencies, we recommend using longitudinal designs, both objective and subjective measures, a higher sample size, and a careful consideration of the types of demands and control that best match each other theoretically.

119 citations

Journal ArticleDOI
TL;DR: Investigation of the extent to which governmental responses to COVID-19 have impacted crime rates in the U.S. raises the possibility that mandatory lockdown orders may have taken minor offenders and placed them into situations where there is rampant opportunity for intimate partner violence, serious batteries, and homicides.
Abstract: In response to the COVID-19 pandemic, state-level governments across the United States issued mandatory stay-at-home orders around the end of March 2020. Though intended to stop the spread of the COVID-19 virus, the lockdowns have had sweeping impacts on life in ways which were not originally planned. This study's purpose is to investigate the extent to which governmental responses to COVID-19 have impacted crime rates in the U.S. Compared to the pre-pandemic year of 2019, crime - as measured by calls for service to law enforcement - has decreased markedly. However, there are multiple indications that the crime drop is being driven by decreases in minor offenses which are typically committed in peer groups. At the same time, serious crimes which are generally not committed with co-offenders (namely homicide and intimate partner violence) have either remained constant or increased. As such, the crime drop appears to be hiding a very disturbing trend where homicides remain unchanged and intimate partner batteries are increasing. Since many offenders would presumably be committing less serious crimes in a non-pandemic world, we raise attention to the possibility that mandatory lockdown orders may have taken minor offenders and placed them into situations where there is rampant opportunity for intimate partner violence, serious batteries, and homicides. While crime in the U.S. appears to be down overall, this good news should not blind us to a troubling co-occurring reality - a reality that paints a dim picture of unintended consequences to public health and criminal justice finances as a result of COVID-19 lockdowns.

119 citations

Journal ArticleDOI
TL;DR: The use of bioinformatic tools and databases changed the way scientists investigate problems, it must change how scientists teach to create new opportunities for students to gain experiences reflecting the influence of genomics, proteomics, and bioinformatics on modern life sciences research.
Abstract: Community Page Incorporating Genomics and Bioinformatics across the Life Sciences Curriculum Jayna L. Ditty 1 , Christopher A. Kvaal 2 , Brad Goodner 3 , Sharyn K. Freyermuth 4 , Cheryl Bailey 5 , Robert A. Britton 6 , Stuart G. Gordon 7 , Sabine Heinhorst 8 , Kelynne Reed 9 , Zhaohui Xu 10 , Erin R. Sanders-Lorenz 11 , Seth Axen 12 , Edwin Kim 12 , Mitrick Johns 13 , Kathleen Scott 14 , Cheryl A. Kerfeld 12,15 * 1 Department of Biology, University of St. Thomas, St. Paul, Minnesota, United States of America, 2 Department of Biological Sciences, St. Cloud State University, St. Cloud, Minnesota, United States of America, 3 Department of Biology, Hiram College, Hiram, Ohio, United States of America, 4 Biochemistry Department, University of Missouri- Columbia, Columbia, Missouri, United States of America, 5 Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, United States of America, 6 Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, United States of America, 7 Department of Biology, Presbyterian College, Clinton, South Carolina, United States of America, 8 Department of Chemistry and Biochemistry, The University of Southern Mississippi, Hattiesburg, Mississippi, United States of America, 9 Biology Department, Austin College, Sherman, Texas, United States of America, 10 Department of Biological Sciences, Bowling Green State University, Bowling Green, Ohio, United States of America, 11 Department of Microbiology, Immunology and Molecular Genetics, University of California – Los Angeles, Los Angeles, California, United States of America, 12 Department of Energy-Joint Genome Institute, Walnut Creek, California, United States of America, 13 Department of Biological Sciences, Northern Illinois University, DeKalb, Illinois, United States of America, 14 Department of Integrative Biology, University of South Florida, Tampa, Florida, United States of America, 15 Department of Plant and Microbial Biology, University of California Berkley, Berkeley, California, United States of America Introduction Undergraduate life sciences education needs an overhaul, as clearly described in the National Research Council of the National Academies’ publication BIO 2010: Transforming Undergraduate Education for Future Research Biologists. Among BIO 2010’s top recommendations is the need to involve students in working with real data and tools that reflect the nature of life sciences research in the 21st century [1]. Education research studies support the importance of utilizing primary literature, designing and implementing experiments, and analyzing results in the context of a bona fide scientific question [1–12] in cultivating the analytical skills necessary to become a scientist. Incorporating these basic scientific methodologies in under- graduate education leads to increased undergraduate and post-graduate reten- tion in the sciences [13–16]. Toward this end, many undergraduate teaching orga- nizations offer training and suggestions for faculty to update and improve their teaching approaches to help students learn as scientists, through design and discovery (e.g., Council of Undergraduate Research [www.cur.org] and Project Kaleidoscope [ www.pkal.org]). With the advent of genome sequencing and bioinformatics, many scientists now formulate biological questions and inter- pret research results in the context of genomic information. Just as the use of bioinformatic tools and databases changed the way scientists investigate problems, it must change how scientists teach to create new opportunities for students to gain experiences reflecting the influence of genomics, proteomics, and bioinformatics on modern life sciences research [17–41]. Educators have responded by incorpo- rating bioinformatics into diverse life science curricula [42–44]. While these published exercises in, and guidelines for, bioinformatics curricula are helpful and inspirational, faculty new to the area of bioinformatics inevitably need training in the theoretical underpinnings of the algo- rithms [45]. Moreover, effectively inte- grating bioinformatics into courses or independent research projects requires infrastructure for organizing and assessing student work. Here, we present a new platform for faculty to keep current with the rapidly changing field of bioinfor- matics, the Integrated Microbial Genomes Annotation Collaboration Toolkit (IMG- ACT) (Figure 1). It was developed by instructors from both research-intensive and predominately undergraduate institu- tions in collaboration with the Department of Energy-Joint Genome Institute (DOE- JGI) as a means to innovate and update undergraduate education and faculty de- velopment. The IMG-ACT program pro- vides a cadre of tools, including access to a clearinghouse of genome sequences, bioin- formatics databases, data storage, instruc- tor course management, and student notebooks for organizing the results of their bioinformatic investigations. In the process, IMG-ACT makes it feasible to provide undergraduate research opportu- nities to a greater number and diversity of students, in contrast to the traditional mentor-to-student apprenticeship model for undergraduate research, which can be too expensive and time-consuming to provide for every undergraduate. The IMG-ACT serves as the hub for the network of faculty and students that use the system for microbial genome analysis. Open access of the IMG-ACT infrastructure to participating schools en- sures that all types of higher education institutions can utilize it. With the infra- structure in place, faculty can focus their efforts on the pedagogy of bioinformatics, involvement of students in research, and use of this tool for their own research agenda. What the original faculty mem- bers of the IMG-ACT development team present here is an overview of how the IMG-ACT program has affected our Citation: Ditty JL, Kvaal CA, Goodner B, Freyermuth SK, Bailey C, et al. (2010) Incorporating Genomics and Bioinformatics across the Life Sciences Curriculum. PLoS Biol 8(8): e1000448. doi:10.1371/journal.pbio.1000448 Published August 10, 2010 Copyright: s 2010 Ditty et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: No specific funding was received for this work. The Community Page is a forum for organizations and societies to highlight their efforts to enhance the dissemination and value of scientific knowledge. Competing Interests: The authors have declared that no competing interests exist. Abbreviations: IMG-ACT; Integrated Microbial Genomes Annotation Collaboration Toolkit * E-mail: ckerfeld@lbl.gov PLoS Biology | www.plosbiology.org August 2010 | Volume 8 | Issue 8 | e1000448

118 citations

Journal ArticleDOI
TL;DR: Findings are consistent with prior works that have noted that self-reported pornography addiction is a complex phenomenon that is predicted by both objective behavior and subjective moral evaluations of that behavior.
Abstract: Background and aimsDespite controversies regarding its existence as a legitimate mental health condition, self-reports of pornography addiction seem to occur regularly. In the United States, prior ...

118 citations

Book ChapterDOI
01 Jan 1996

118 citations


Authors

Showing all 8365 results

NameH-indexPapersCitations
Eduardo Salas12971162259
Russell A. Barkley11935560109
Hong Liu100190557561
Jaak Panksepp9944640748
Kenneth I. Pargament9637241752
Robert C. Green9152640414
Robert W. Motl8571227961
Evert Jan Baerends8531852440
Hugh Garavan8441928773
Janet Shibley Hyde8322738440
Michael L. Gross8270127140
Jerry Silver7820125837
Michael E. Robinson7436619990
Abraham Clearfield7451319006
Kirk S. Schanze7351219118
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202321
202274
2021485
2020511
2019497