Saint Louis University

About: Saint Louis University is a education organization based out in St Louis, Missouri, United States. It is known for research contribution in the topics: Population & Health care. The organization has 18927 authors who have published 34895 publications receiving 1267475 citations. The organization is also known as: SLU & St. Louis University.

Developing patient-reported outcome measures for pain clinical trials: IMMPACT recommendations

Abstract: a University of Washington, Seattle, WA 98195, USA b University of Rochester School of Medicine and Dentistry, Rochester, NY, USA c United States Food and Drug Administration, Rockville, MD, USA d Northwestern University, Chicago, IL, USA e Johnson and Johnson, Raritan, NY, USA f AstraZeneca, Wilmington, DE, USA g University of California San Diego, La Jolla, CA, USA h Merck and Company, Blue Bell, PA, USA i University of Texas, M.D. Anderson Cancer Center, USA j American Chronic Pain Association, Rocklin, CA, USA k Allergan, Inc, Irvine, CA, USA l National Institute of Dental and Craniofacial Research, Bethesda, MD, USA m University of Pennsylvania, Philadelphia, PA, USA n Johns Hopkins University, Baltimore, MD, USA o University Health Network and University of Toronto, Toronto, Canada p Novartis Pharmaceuticals, East Hanover, NJ, USA q VA Connecticut Healthcare System, West Haven, CT, USA r Yale University, New Haven, CT, USA s Celgene Corporation, Warren, NJ, USA t Pfizer Global Research and Development, Ann Arbor, MI, USA u Dalhousie University, Halifax, Nova Scotia, Canada v London Regional Cancer Centre, London, Ont., Canada

Attention During Lectures: Beyond Ten Minutes

Abstract: Many authors claim that students' attention declines approximately 10 to 15 min into lectures. To evaluate this claim, we reviewed several types of studies including studies of student note taking, observations of students during lectures, and self-reports of student attention, as well as studies using physiological measures of attention. We found that the research on which this estimate is based provides little support for the belief that students' attention declines after 10 to 15 min. Most studies failed to account for individual differences in attention. Our findings indicate that instructors should take into account individual differences in student attention when lecturing and determine whether students are recording the relevant content of the lecture in their notes.

Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays

Abstract: We demonstrate use of iteratively pruned deep learning model ensembles for detecting pulmonary manifestations of COVID-19 with chest X-rays This disease is caused by the novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) virus, also known as the novel Coronavirus (2019-nCoV) A custom convolutional neural network and a selection of ImageNet pretrained models are trained and evaluated at patient-level on publicly available CXR collections to learn modality-specific feature representations The learned knowledge is transferred and fine-tuned to improve performance and generalization in the related task of classifying CXRs as normal, showing bacterial pneumonia, or COVID-19-viral abnormalities The best performing models are iteratively pruned to reduce complexity and improve memory efficiency The predictions of the best-performing pruned models are combined through different ensemble strategies to improve classification performance Empirical evaluations demonstrate that the weighted average of the best-performing pruned models significantly improves performance resulting in an accuracy of 9901% and area under the curve of 09972 in detecting COVID-19 findings on CXRs The combined use of modality-specific knowledge transfer, iterative model pruning, and ensemble learning resulted in improved predictions We expect that this model can be quickly adopted for COVID-19 screening using chest radiographs

Red blood cell regulation of microvascular tone through adenosine triphosphate.

Abstract: The matching of blood flow with metabolic need requires a mechanism for sensing the needs of the tissue and communicating that need to the arterioles, the ultimate controllers of tissue perfusion. ...