Nowadays special attention is paid to studies on the role of leisure-time activities in the preservation of ethnic customs and traditions.Culture comprises the diverse fields of human activity and historical achievements - from economy to household aspects, including social, material, and spiritual spheres of human life.The spiritual one, in its tu
Graph Neural Network for domain segmentation to predict regions of non-ideal mixing in two-dimensional baffle flow systems
This paper presents a novel approach to address computational challenges in predicting flow features by employing a Graph Neural Network (GNN), which is proficient in predicting flow domain values.Traditional Computational Fluid Dynamics (CFD) simulations, although effective, often require substantial computational resources and time, limiting thei
Contextuality and Informational Redundancy
A noncontextual system of random variables may become contextual if one adds to it a set of new variables, even if each of them is obtained by the Rocker same context-wise function of the old variables.This fact follows from the definition of contextuality, and its demonstration is trivial for inconsistently connected systems (i.e., systems with di
A cell-based high-throughput screen identifies inhibitors that overcome P-glycoprotein (Pgp)-mediated multidrug resistance.
Multidrug resistance (MDR) to chemotherapeutic drugs remains one of the major impediments to the treatment of cancer.Discovery and development of drugs that can prevent and reverse the acquisition of multidrug resistance constitute a foremost challenge in cancer therapeutics.In this work, we screened a library of 1,127 compounds with known targets