The problem of the value consolidation of the Russian nation is that its actual historical basis is the collapse of the USSR and defeat in the Cold War.Therefore, political elites, as inventors of a new Russian tradition, are forced to shift the foundation of the Russian nation to the distant past of the abstract and contradictory thousand-year his
Modelling time-series Aedes albopictus abundance as a forecasting tool in urban environments
Aedes albopictus is an invasive mosquito species that can maintain and transmit several arboviruses causing disease in humans.Understanding the determinants of its ecology and population dynamics to predict its abundance Mystery Shirt was the main objective of this study.Adult mosquitoes were captured weekly between 2009 and 2016 with BG sentinel t
Early warning and predicting of COVID-19 using zero-inflated negative binomial regression model and negative binomial regression model
Abstract Background It is difficult to detect the outbreak of emergency infectious disease based on the exiting surveillance system.Here we investigate the utility of the Baidu Search Index, an indicator of how large of a keyword is in Baidu’s search volume, in the early warning and predicting the epidemic trend of COVID-19.Methods The daily numb
Sheep Counting Method Based on Multiscale Module Deep Neural Network
Due to the uneven distribution and large scale change of sheep in the pasture, it is not conducive to the counting and statistics of sheep in animal husbandry.The traditional target counting algorithm has low counting accuracy in the field of animal husbandry, and there are fewer sheep data sets for research.To solve these problems, the data set of