Вандана Шива о распространении биотехнологий в Индии: биоэтика в странах «третьей волны» (Vandana Shiva on the Spread of Biotechnology in India: Bioethics in the 'Third Wave' Countries)

The article presents the results of mathematical experiments with the system «Social potential of childhood in the Russian regions». In the structure of system divided into three subsystems – the «Reproduction of children in the region», «Children’s health» and «Education of children», for each defined its target factor (output parameter). The groups of infrastructure factors (education, health, culture and sport, transport), socio-economic, territorial-settlement, demographic and en-vironmental factors are designated as the factors that control the system (input parameters). The aim of the study is to build a model îf «Social potential of childhood in the Russian regions», as well as to conduct experiments to find the optimal ratio of the values of target and control factors. Three waves of experiments were conducted. The first wave is related to the analysis of the dynam-ics of indicators for 6 years. The second – with the selection of optimal values of control factors at fixed ideal values of target factors. The third wave allowed us to calculate the values of the target factors based on the selected optimal values of the control factors of the previous wave.

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Recovered Memory and the Third Wave

SSRN Electronic Journal ◽

10.2139/ssrn.865244 ◽

2001 ◽

Author(s):

M Devereaux

Keyword(s):

Third Wave ◽

Recovered Memory ◽

The Third

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Governments and public trust: a public covid inquiry that reported quickly could shape response to the third wave

BMJ ◽

10.1136/bmj.n1667 ◽

2021 ◽

pp. n1667

Author(s):

John Puntis ◽

Tony O’Sullivan

Keyword(s):

Public Trust ◽

Third Wave ◽

The Third

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System for Forecasting COVID-19 Cases Using Time-Series and Neural Networks Models

Engineering Proceedings ◽

10.3390/engproc2021005046 ◽

2021 ◽

Vol 5 (1) ◽

pp. 46

Author(s):

Mostafa Abotaleb ◽

Tatiana Makarovskikh

Keyword(s):

Neural Network ◽

Neural Networks ◽

Time Series ◽

Time Series Models ◽

Third Wave ◽

The Third ◽

Modeling And Forecasting ◽

Auto Regressive ◽

The Russian Federation ◽

R Programming

COVID-19 is one of the biggest challenges that countries face at the present time, as infections and deaths change daily and because this pandemic has a dynamic spread. Our paper considers two tasks. The first one is to develop a system for modeling COVID-19 based on time-series models due to their accuracy in forecasting COVID-19 cases. We developed an “Epidemic. TA” system using R programming for modeling and forecasting COVID-19 cases. This system contains linear (ARIMA and Holt’s model) and non-linear (BATS, TBATS, and SIR) time-series models and neural network auto-regressive models (NNAR), which allows us to obtain the most accurate forecasts of infections, deaths, and vaccination cases. The second task is the implementation of our system to forecast the risk of the third wave of infections in the Russian Federation.

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Perceived Stress and Increased Food Consumption during the ‘Third Wave’ of the COVID-19 Pandemic in Spain

Nutrients ◽

10.3390/nu13072380 ◽

2021 ◽

Vol 13 (7) ◽

pp. 2380

Author(s):

Eduardo Sánchez-Sánchez ◽

Jara Díaz-Jimenez ◽

Ignacio Rosety ◽

Maria José M. Alférez ◽

Antonio Jesús Díaz ◽

...

Keyword(s):

Food Consumption ◽

Perceived Stress ◽

High Stress ◽

Cross Sectional Study ◽

Third Wave ◽

Sectional Study ◽

Cross Sectional ◽

Stress Scale ◽

The Third ◽

Moderate Stress

The COVID-19 pandemic has impacted the mental health of people worldwide. An increase in perceived stress can lead to unhealthy behaviors such as increased food consumption. The aim of this study was to find the level of perceived stress and its relationship with increased food consumption during the “third wave” of the COVID-19 pandemic in Spain. This was a cross-sectional study that employed anonline self-reported frequency of consumption questionnaire and the Perceived Stress Scale-10. A total of 637 subjects participated and 83.6% of respondents had moderate or high stress—more prevalent in the female and young respondents. Moreover, 36.1% of respondents reported that they had increased the frequency of consumption of some foods, mainly nuts, snacks, and jellybeans, along with coffee, tea, cocoa, and soft drinks. Eating between meals was more pronounced in those with high stress (65.1%) than in those with moderate stress (40.4%) and low stress (20.2%). Furthermore, the respondents with high stress reported greater weight gain. Thus, the results show that the level of perceived stress during the ‘third wave’ of this pandemic increased food consumption.

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