As a result of the Covid-19 pandemic, field Medical Sciences has been challenged with new challenges and benchmarks for development. Front line workers are overcoming challenge four steps: Screening Diagnosis, Contact Tracing, Drug Vaccine Development, Prediction & Forecasting. Following above segments carefully can save millions lives. Artificial Intelligence proven invaluable in predictin...

Precise knowledge ofthe amount of global solar radiation plays an important role in designing solar energy systems. In this study, by using 22-year meteorologicaldata, 19 empirical models were tested for prediction of the monthly mean daily global solar radiation in Tabriz. In addition, various Artificial Neural Network (ANN) models were designed for comparison with empirical models. For this p...

Drawing on empirical research completed in Belgium, this article presents a comparative analysis of the care regimes for two categories of children: transnational adoptees and unaccompanied minors. Although state immigration policies consider the two groups of minors as humanitarian exceptions that require preferential treatment, the kind of humanitarian help and social investment they are beli...

Developed in this article are theories of the so-called linear estimation techniques. The methods are exclusively based on the space-time empirical orthogonal functions which describe nonuniform covariance statistics of background uctuations of investigated variable. Two speciic methods to be discussed are the detection and the estimation algorithms with speciic emphasis on the description of e...

We propose a general theorem providing upper bounds for the risk of an empirical risk minimizer (ERM).We essentially focus on the binary classi…cation framework. We extend Tsybakov’s analysis of the risk of an ERM under margin type conditions by using concentration inequalities for conveniently weighted empirical processes. This allows us to deal with other ways of measuring the ”size”of a clas...

OBJECTIVES To review the extant literature on HIV criminal laws, and to determine the impact of these laws on public health practice. METHODS The available research on this topic was obtained and reviewed. RESULTS The extant literature addressed three main topics: people's awareness of HIV criminal laws; people's perceptions of HIV criminal laws; and the potential effects of HIV criminal la...

We give improved constants for data dependent and variance sensitive confidence bounds, called empirical Bernstein bounds, and extend these inequalities to hold uniformly over classes of functions whose growth function is polynomial in the sample size n. The bounds lead us to consider sample variance penalization, a novel learning method which takes into account the empirical variance of the lo...