scispace - formally typeset
Search or ask a question
Institution

University of Minnesota

EducationMinneapolis, Minnesota, United States
About: University of Minnesota is a education organization based out in Minneapolis, Minnesota, United States. It is known for research contribution in the topics: Population & Transplantation. The organization has 117432 authors who have published 257986 publications receiving 11944239 citations. The organization is also known as: University of Minnesota, Twin Cities & University of Minnesota-Twin Cities.


Papers
More filters
Journal ArticleDOI
TL;DR: Inulin, fructo-oligosaccharides, and other oligosACcharides are included as dietary fiber in food labels in the US as discussed by the authors, and they are the best known prebiotics, a selectively fermented ingredient that allows specific changes, both in the composition and/or activity in the gastrointestinal microflora that confers benefits upon host wellbring and health.
Abstract: The health benefits of dietary fiber have long been appreciated. Higher intakes of dietary fiber are linked to less cardiovascular disease and fiber plays a role in gut health, with many effective laxatives actually isolated fiber sources. Higher intakes of fiber are linked to lower body weights. Only polysaccharides were included in dietary fiber originally, but more recent definitions have included oligosaccharides as dietary fiber, not based on their chemical measurement as dietary fiber by the accepted total dietary fiber (TDF) method, but on their physiological effects. Inulin, fructo-oligosaccharides, and other oligosaccharides are included as fiber in food labels in the US. Additionally, oligosaccharides are the best known “prebiotics”, “a selectively fermented ingredient that allows specific changes, both in the composition and/or activity in the gastrointestinal microflora that confers benefits upon host well-bring and health.” To date, all known and suspected prebiotics are carbohydrate compounds, primarily oligosaccharides, known to resist digestion in the human small intestine and reach the colon where they are fermented by the gut microflora. Studies have provided evidence that inulin and oligofructose (OF), lactulose, and resistant starch (RS) meet all aspects of the definition, including the stimulation of Bifidobacterium, a beneficial bacterial genus. Other isolated carbohydrates and carbohydrate-containing foods, including galactooligosaccharides (GOS), transgalactooligosaccharides (TOS), polydextrose, wheat dextrin, acacia gum, psyllium, banana, whole grain wheat, and whole grain corn also have prebiotic effects.

1,500 citations

Journal ArticleDOI
M. Punturo, M. R. Abernathy1, Fausto Acernese2, Benjamin William Allen3, Nils Andersson4, K. G. Arun5, Fabrizio Barone2, B. Barr1, M. Barsuglia6, M. G. Beker7, N. Beveridge1, S. Birindelli8, Suvadeep Bose9, L. Bosi, S. Braccini, C. Bradaschia, Tomasz Bulik10, Enrico Calloni, G. Cella, E. Chassande Mottin6, Simon Chelkowski11, Andrea Chincarini, John A. Clark12, E. Coccia13, C. N. Colacino, J. Colas, A. Cumming1, L. Cunningham1, E. Cuoco, S. L. Danilishin14, Karsten Danzmann3, G. De Luca, R. De Salvo15, T. Dent12, R. De Rosa, L. Di Fiore, A. Di Virgilio, M. Doets7, V. Fafone13, Paolo Falferi16, R. Flaminio17, J. Franc17, F. Frasconi, Andreas Freise11, Paul Fulda11, Jonathan R. Gair18, G. Gemme, A. Gennai11, A. Giazotto, Kostas Glampedakis19, M. Granata6, Hartmut Grote3, G. M. Guidi20, G. D. Hammond1, Mark Hannam21, Jan Harms22, D. Heinert23, Martin Hendry1, Ik Siong Heng1, Eric Hennes7, Stefan Hild1, J. H. Hough, Sascha Husa24, S. H. Huttner1, Gareth Jones12, F. Y. Khalili14, Keiko Kokeyama11, Kostas D. Kokkotas19, Badri Krishnan24, M. Lorenzini, Harald Lück3, Ettore Majorana, Ilya Mandel25, Vuk Mandic22, I. W. Martin1, C. Michel17, Y. Minenkov13, N. Morgado17, Simona Mosca, B. Mours26, H. Müller–Ebhardt3, P. G. Murray1, Ronny Nawrodt1, John Nelson1, Richard O'Shaughnessy27, Christian D. Ott15, C. Palomba, A. Paoli, G. Parguez, A. Pasqualetti, R. Passaquieti28, D. Passuello, L. Pinard17, Rosa Poggiani28, P. Popolizio, Mirko Prato, P. Puppo, D. S. Rabeling7, P. Rapagnani29, Jocelyn Read24, Tania Regimbau8, H. Rehbein3, Stuart Reid1, Luciano Rezzolla24, F. Ricci29, F. Richard, A. Rocchi, Sheila Rowan1, Albrecht Rüdiger3, Benoit Sassolas17, Bangalore Suryanarayana Sathyaprakash12, Roman Schnabel3, C. Schwarz, Paul Seidel, Alicia M. Sintes24, Kentaro Somiya15, Fiona C. Speirits1, Kenneth A. Strain1, S. E. Strigin14, P. J. Sutton12, S. P. Tarabrin14, Andre Thüring3, J. F. J. van den Brand7, C. van Leewen7, M. van Veggel1, C. Van Den Broeck12, Alberto Vecchio11, John Veitch11, F. Vetrano20, A. Viceré20, Sergey P. Vyatchanin14, Benno Willke3, Graham Woan1, P. Wolfango30, Kazuhiro Yamamoto3 
TL;DR: The third-generation ground-based observatory Einstein Telescope (ET) project as discussed by the authors is currently in its design study phase, and it can be seen as the first step in this direction.
Abstract: Advanced gravitational wave interferometers, currently under realization, will soon permit the detection of gravitational waves from astronomical sources. To open the era of precision gravitational wave astronomy, a further substantial improvement in sensitivity is required. The future space-based Laser Interferometer Space Antenna and the third-generation ground-based observatory Einstein Telescope (ET) promise to achieve the required sensitivity improvements in frequency ranges. The vastly improved sensitivity of the third generation of gravitational wave observatories could permit detailed measurements of the sources' physical parameters and could complement, in a multi-messenger approach, the observation of signals emitted by cosmological sources obtained through other kinds of telescopes. This paper describes the progress of the ET project which is currently in its design study phase.

1,497 citations

Journal ArticleDOI
TL;DR: The 2012 ACR RA recommendations were developed by two expert panels: a non-voting working group and Core Expert Panel of clinicians and methodologists responsible for the selection of the relevant topic areas to be considered, the systematic literature review, and the evidence synthesis.
Abstract: The American College of Rheumatology (ACR) most recently published recommendations for use of disease modifying anti-rheumatic drugs (DMARDs) and biologics in the treatment of rheumatoid arthritis (RA) in 2008 (1). These recommendations covered indications for use, monitoring of side-effects, assessment of the clinical response to DMARDs and biologics, screening for tuberculosis (TB), and assessment of the roles of cost and patient preference in decision-making for biologic agents (1). Recognizing the rapidly evolving knowledge in RA management and the accumulation of new evidence regarding the safety and efficacy of existing and newer therapies, the ACR commissioned an update of the 2008 recommendations in select topic areas. The 2012 revision updates the 2008 ACR recommendations in the following areas: (1) indications for DMARDs and biologics; (2) switching between DMARD and biologic therapies; (3) use of biologics in high-risk patients (those with hepatitis, congestive heart failure, and malignancy); (4) screening for TB in patients starting or currently receiving biologics; and (5) vaccination in patients starting or currently receiving DMARDs or biologics (Table 1). Table 1 Overview Comparison of Topics and Medications Included in the 2008 and 2012 ACR RA Recommendations METHODS We utilized the same methodology as described in detail in the 2008 guidelines (1) to maintain consistency and to allow cumulative evidence to inform this 2012 recommendation update. These recommendations were developed by two expert panels: (1) a non-voting working group and Core Expert Panel (CEP) of clinicians and methodologists responsible for the selection of the relevant topic areas to be considered, the systematic literature review, and the evidence synthesis and creation of “clinical scenarios”; and (2) a Task Force Panel (TFP) of 11 internationally-recognized expert clinicians, patient representatives and methodologists with expertise in RA treatment, evidence-based medicine and patient preferences who were tasked with rating the scenarios created using an ordinal scale specified in the Research and Development/University of California at Los Angeles (RAND/UCLA) Appropriateness method (2–4). This method solicited formal input from a multi-disciplinary TFP panel to make recommendations informed by the evidence. The methods used to develop the updated ACR recommendations are described briefly below. Systematic Literature Review – Sources, Databases and Domains Literature searches for both DMARDs and biologics relied predominantly on PubMed searches) with medical subject headings (MeSH) and relevant keywords similar to those used for the 2008 ACR RA recommendations (see Appendices 1 and 2). We included randomized clinical trials (RCTs), controlled clinical trials (CCTs), quasi-experimental designs, cohort studies (prospective or retrospective), and case-control studies, with no restrictions on sample size. More details about inclusion criteria are listed below and in Appendix 3. The 2008 recommendations were based on a literature search that ended on February 14, 2007. The literature search end date for the 2012 Update was February 26, 2010 for the efficacy and safety studies and September 22, 2010 for additional qualitative reviews related to TB screening, immunization and hepatitis (similar to the 2008 methodology). Studies published subsequent to that date were not included. For biologics, we also reviewed the Cochrane systematic reviews and overviews (published and in press) in the Cochrane Database of Systematic Reviews to identify additional studies (5–8) and further supplemented by hand-checking the bibliographies of all included articles. Finally, the CEP and TFP confirmed that relevant literature was included for evidence synthesis. Unless they were identified by the literature search and met the article inclusion criteria (see Appendix 3), we did not review any unpublished data from product manufacturers, investigators, or the Food and Drug Administration (FDA) Adverse Event Reporting System. We searched the literature for the eight DMARDs and nine biologics most commonly used for the treatment of RA. Literature was searched for eight DMARDS including azathioprine, cyclosporine, hydroxychloroquine, leflunomide, methotrexate, minocycline, organic gold compounds and sulfasalazine. As in 2008, azathioprine, cyclosporine and gold were not included in the recommendations based on infrequent use and lack of new data (Table 1). Literature was searched for nine biologics including abatacept, adalimumab, anakinra, certolizumab pegol, etanercept, golimumab, infliximab, rituximab and tocilizumab; anakinra was not included in the recommendations due to infrequent use and lack of new data. Details of the bibliographic search strategy are listed in Appendix 1.

1,493 citations

Journal ArticleDOI
TL;DR: Investigation of the persuasive impact and detectability of normative social influence shows that normative messages can be a powerful lever of persuasion but that their influence is underdetected.
Abstract: The present research investigated the persuasive impact and detectability of normative social influence. The first study surveyed 810 Californians about energy conservation and found that descriptive normative beliefs were more predictive of behavior than were other relevant beliefs, even though respondents rated such norms as least important in their conservation decisions. Study 2, a field experiment, showed that normative social influence produced the greatest change in behavior compared to information highlighting other reasons to conserve, even though respondents rated the normative information as least motivating. Results show that normative messages can be a powerful lever of persuasion but that their influence is underdetected.

1,493 citations

Journal ArticleDOI
Tian Tian1, Yue Liu1, Hengyu Yan1, Qi You1, Xin Yi1, Zhou Du1, Wenying Xu1, Zhen Su1 
TL;DR: The updated agriGO that has a largely expanded number of supporting species and datatypes and more visualization features were added to the platform, including SEACOMPARE, direct acyclic graph (DAG) and Scatter Plots, which can be merged by choosing any significant GO term.
Abstract: The agriGO platform, which has been serving the scientific community for >10 years, specifically focuses on gene ontology (GO) enrichment analyses of plant and agricultural species. We continuously maintain and update the databases and accommodate the various requests of our global users. Here, we present our updated agriGO that has a largely expanded number of supporting species (394) and datatypes (865). In addition, a larger number of species have been classified into groups covering crops, vegetables, fish, birds and insects closely related to the agricultural community. We further improved the computational efficiency, including the batch analysis and P-value distribution (PVD), and the user-friendliness of the web pages. More visualization features were added to the platform, including SEACOMPARE (cross comparison of singular enrichment analysis), direct acyclic graph (DAG) and Scatter Plots, which can be merged by choosing any significant GO term. The updated platform agriGO v2.0 is now publicly accessible at http://systemsbiology.cau.edu.cn/agriGOv2/.

1,490 citations


Authors

Showing all 118112 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
David J. Hunter2131836207050
David Miller2032573204840
Mark I. McCarthy2001028187898
Dennis W. Dickson1911243148488
David H. Weinberg183700171424
Eric Boerwinkle1831321170971
John C. Morris1831441168413
Aaron R. Folsom1811118134044
H. S. Chen1792401178529
Jie Zhang1784857221720
Jasvinder A. Singh1762382223370
Feng Zhang1721278181865
Gang Chen1673372149819
Hongfang Liu1662356156290
Network Information
Related Institutions (5)
Cornell University
235.5K papers, 12.2M citations

98% related

University of Washington
305.5K papers, 17.7M citations

97% related

University of Pennsylvania
257.6K papers, 14.1M citations

97% related

University of Michigan
342.3K papers, 17.6M citations

97% related

Columbia University
224K papers, 12.8M citations

96% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023200
20221,177
202111,903
202011,807
201910,984
201810,367