Data science is likely to lead to major changes in cardiovascular imaging. Problems with
timing, efficiency, and missed diagnoses occur at all stages of the imaging chain. The …

This paper provides a comprehensive review of the utilization of industrial wastes in 3D
concrete printing processes. Concrete 3D printing processes are introduced, highlighting the …

… In the era of genome engineering, newer and updated technique to edit the genome is
emerging day by day. CRISPR Cas9, the humble adaptive immune system of the prokaryotes, …

Developing and testing algorithms for autonomous vehicles in real world is an expensive and
time consuming process. Also, in order to utilize recent advances in machine intelligence …

Model determination is a fundamental data analytic task. Here we consider the problem of
choosing among a finite (without loss of generality we assume two) set of models. After briefly …

… Many large Id'I cast doubt upon the model but retaining the sign of d'. allows patterns of
under or … a relative likelihood leading to a modified d4r such as d<r = d4r/SUp f(YIY(r)) or d'" = …

This paper proposes a general class of multivariate skew-elliptical distributions. We extend
earlier results on the so-called multivariate skew-normal distribution. This family of …

… Media was changed every other day for 18 days and then organoids were transferred to
non-adherent EZsphere dishes (Nacalai USA). At day 18, organoids were cultured in media with …

Aims Traditional prognostic risk assessment in patients undergoing non-invasive imaging is
based upon a limited selection of clinical and imaging findings. Machine learning (ML) can …

Abstract: The authors develop a new class of distributions by introducing skewness in
multivariate elliptically symmetric distributions. The class, which is obtained by using …