From the early stage of robotic applications to current autonomous driving technologies, environment modeling has been acting as middleware for connecting perception and decision layers. In applications, space-oriented models (e.g., grid map, drivable area) are widely applied faithfully reflect space occupation. With development driving, highly dynamic complex road brings rising need understand...

Every year since 2017, Yaroslavl State Pedagogical University named after K. D. Ushinsky (YSPU) holds the All-Russian distance team quest "Around informatics" for 7–11-grade students, college and university students of all training areas. The geography is constantly expanding; 1065 teams took part in March-April 2022. includes 100 tasks on topics informatics school course, including Basic Exami...

background helicobacter pylori (h. pylori) infection usually occurs during childhood, especially in developing countries. the aim of this study was to evaluate the prevalence of h. pylori infection among children in primary schools of rasht, a northern iranian city. methods this cross-sectional study was conducted among 961 primary school students in rasht. samples were randomly selected and st...

In this paper, we investigate questions involving the impact of a multitude of covariates and their interactions on the scores of a comprehensive exit exam from 121 undergraduate students in Texas State University via a hierarchical Bayesian mixture model. The model uses a mixture of Beta distributions, inflated for the purposes of modeling the behavior of students who are no-shows for the exam...

Despite the recent success of deep reinforcement learning (RL), domain adaptation remains an open problem. Although generalization ability RL agents is critical for real-world applicability Deep RL, zero-shot policy transfer still a challenging problem since even minor visual changes could make trained agent completely fail in new task. To address this issue, we propose two-stage that first lea...