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Frontiers | Host Genetics of Response to Porcine Reproductive and Respiratory Syndrome in Sows: Reproductive Performance

Frontiers | Host Genetics of Response to Porcine Reproductive and Respiratory Syndrome in Sows: Reproductive Performance
frontiersin.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from frontiersin.org Daily Mail and Mail on Sunday newspapers.

United States , New South Wales , South Australia , Braccini Neto , Monte Carlo , Neogen Geneseek Lincoln , Neogen Geneseek , Hemel Hempstead , Acta Biochim , Rr Core Team , Rr Core Team , Genomics Lab , J Swine Health , Iowa State University , University Of Edinburgh , Wide Association , R Foundation For Statistical Computing , Respiratory Syndrome , Previously Associated With Response , Chain Monte Carlo , Supplementary Table , Porcine Reproductive , P Valuep Value Table , P Value Table , For Duroc , P Valuep Value ,

A Statistical Analysis of Mandates and Mask Usage in Kansas

A Statistical Analysis of Mandates and Mask Usage in Kansas
heritage.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from heritage.org Daily Mail and Mail on Sunday newspapers.

United States , New York , Meade County , State Of Kansas , Wyandotte County , Douglas County , Shawnee County , Johnson County , Monte Carlo , Laura Kelly , Centers For Disease , New York Times , Heritage Foundation Coronavirus Commission , Kansas Governor Laura Kelly , Heritage Special Report , Disease Control , Heritage Foundation , Coronavirus Commission , Kansas Mask , Include Fall , Sedgwick Counties , Bayesian Statistical , Population Adjusted Case , Meade Counties , Hierarchical Bayesian , Chain Monte Carlo ,

Estimated impact of the pneumococcal conjugate vaccine on pneumonia mortality in South Africa, 1999 through 2016: An ecological modelling study

Research Article
Estimated impact of the pneumococcal conjugate vaccine on pneumonia mortality in South Africa, 1999 through 2016: An ecological modelling study
Jackie Kleynhans ,
Roles
Conceptualization,
Data curation,
Writing – review & editing
Affiliation
School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
Roles
Methodology,
Software,
Writing – review & editing
Affiliation
Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
Roles
Conceptualization,
Writing – review & editing
Affiliations
Centre for Respiratory Diseases and Meningitis (CRDM), National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa,
School of Pathology, Facult ....

South Africa , United States , Monte Carlo , Coahuila De Zaragoza , Central River Division , Central River , South African , Sanofi Pasteur , Zulfiqara Bhutta , International Classification Of Diseases , Us Centers For Disease , African Expanded Programme On Immunization , Programme For Applied Technologies In Health , Department Of Home Affairs , Sick Children , Creative Commons Attribution License , Pfizer Yale , Disease Control , Applied Technologies , Home Affairs , International Classification , Markov Chain Monte Carlo , Observational Routinely , Statistics South , Latin American , South African Expanded Programme ,

Arianna Rosenbluth Dies at 93; Pioneering Figure in Data Science

Arianna Rosenbluth Dies at 93; Pioneering Figure in Data Science
Dr. Rosenbluth, who received her physics Ph.D. at 21, helped create an algorithm that has become a foundation of understanding huge quantities of data. She died of complications of the coronavirus.
Dr. Arianna Wright Rosenbluth in 2013. She helped create what has become one of the most important algorithms of all time. Credit.via Rosenbluth family
Published Feb. 9, 2021Updated Feb. 15, 2021
The Metropolis algorithm, a technique for generating random samplings, started out as a way to understand a fundamental problem: how atoms rearrange themselves as solids melt.
Over the decades, the Metropolis algorithm and its subsequent variations have been put to a vast number of uses and now serve as an underpinning to understanding critical challenges of our age, including making sense of huge volumes of data, predicting election outcomes and understanding Covid-19’s spread. ....

Los Alamos , New Mexico , United States , San Diego , Palo Alto , Stanford University , Los Alamos National Laboratory , Stanislaw Ulam , James Gubernatis , Nicholas Metropolis , Edward Teller , Alan Rosenbluth , Los Angeles , Marshall Rosenbluth , Benjamin Pope , Monte Carlo , Arianna Rosenbluth , Arianna Wright Rosenbluth , Ivy Mike , Andrew Gelman , Adam Iaizzi , Jean Rosenbluth , University Of Queensland , Atomic Energy Commission , Columbia University , Markov Chain Monte Carlo ,