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2021

Новости за 15.07.2021

Caesarian section (CS) delivery in Bangladesh: A nationally representative cross-sectional study

Plos.org 

by Foyez Ahmmed, Muhammad Mahabub Rahaman Manik, Md. Jamal Hossain

A growing trend in the caesarian section (CS) for delivery is a threat to child health as well as maternal health. This study was conducted to identify the potential socioeconomic and demographic factors associated with CS delivery in Bangladesh. Data obtained from the Bangladesh Demographic and Health Survey (BDHS) 2014 has been used for this study. The prevalence of CS delivery among Bangladeshi mothers was 24% (Urban: 36.9%... Читать дальше...

Prediction of well-being and insight into work-life integration among physicians using machine learning approach

Plos.org 

by Masahiro Nishi, Michiyo Yamano, Satoaki Matoba

There has been increasing interest in examining physician well-being and its predictive factors. However, few studies have revealed the characteristics associated with physician well-being and work-life integration using a machine learning approach. To investigate predictive factors of well-being and obtain insights into work-life integration, the survey was conducted by letter mail in a sample of Japanese physicians. A total of 422 responses were collected from 846 physicians. Читать дальше...



Types of social networks and starting leisure activities in later life: A longitudinal Japan Gerontological Evaluation Study (JAGES)

Plos.org 

by Takuya Sekiguchi, Katsunori Kondo, Mihoko Otake-Matsuura

Considering beneficial effects of leisure activities in later life on well-being and health, we investigated which type of social network among older adults is associated with starting their participation in leisure activities. We used data from a longitudinal Japan Gerontological Evaluation Study (JAGES) conducted in Japan every three years from 2010 to 2016. We extracted types of social networks of older adults who did not participate... Читать дальше...

An empirical survey of data augmentation for time series classification with neural networks

Plos.org 

by Brian Kenji Iwana, Seiichi Uchida

In recent times, deep artificial neural networks have achieved many successes in pattern recognition. Part of this success can be attributed to the reliance on big data to increase generalization. However, in the field of time series recognition, many datasets are often very small. One method of addressing this problem is through the use of data augmentation. In this paper, we survey data augmentation techniques for time series and their application to time series classification with neural networks.

Protective effects of omega-3 fatty acids in dogs with myxomatous mitral valve disease stages B2 and C

Plos.org 

by Priscilla Regina Nasciutti, Aline Tavares Moraes, Thaiz Krawczyk Santos, Karine Kelly Gonçalves Queiroz, Ana Paula Araújo Costa, Andressa Rodrigues Amaral, Rodrigo Fernando Gomes Olivindo, Cristiana Ferreira Fonseca Pontieri, Juliana Toloi Jeremias, Thiago Henrique Annibale Vendramini, Marcio Antonio Brunetto, Rosângela de Oliveira Alves Carvalho

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Determination of freedom-from-rabies for small Indian mongoose populations in the United States Virgin Islands, 2019–2020

Plos.org 

by A. Springer Browne, Hannah M. Cranford, Clint N. Morgan, James A. Ellison, Are Berentsen, Nicholas Wiese, Alexandra Medley, John Rossow, Leanne Jankelunas, Alan S. McKinley, Claudia D. Lombard, Nicole F. Angeli, Thomas Kelley, Jennifer Valiulus, Bethany Bradford, Valicia J. Burke-France, Cosme J. Harrison, Irene Guendel, Marissa Taylor, Gerard L. Blanchard, Jeffrey B. Doty, David J. Worthington, David Horner, Keith R. Garcia, Joseph Roth, Brett R. Ellis, Kristine M. Bisgard, Ryan Wallace, Esther M. Читать дальше...

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Москва

Определены организации-финалисты XI Всероссийского конкурса «Лучшая инклюзивная школа России — 2024»



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Трамп отказался от дебатов с Харрис из-за ее позиции

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