Intelligent manufacturing plays an important role in Industry 4.0. Key technologies such as artificial intelligence (AI), big data analytics (BDA), the internet of things (IoT), cyber-physical systems (CPSs), and cloud computing enable intelligent manufacturing systems (IMS). Artificial intelligence (AI) plays an essential role in IMS by providing typical features such as learning, reasoning, acting, modeling, intelligent interconnecting, and intelligent decision making. Artificial intelligence's impact on manufacturing is involved in Industry 4.0 through big data analytics, predictive maintenance, data-driven system modeling, control and optimization, human-robot collaboration, and smart machine communication. The recent advances in machine and deep learning algorithms combined with powerful computational hardware have opened new possibilities for technological progress in manufacturing, which led to improving and optimizing any business model.

Improvements in energy efficiency in Industry 4.0 is the main imperative in manufacturing. An important challenge in many fields of complex industrial processes is energy-efficient optimization. The basic idea of the energy efficiency optimization algorithm is to find the optimal assigned value of process parameters to achieve the lowest energy cost and the best working conditions. Applying the multi-objective approach for solving real industry optimization problems is a challenging task. Therefore, this chapter provides an overview of the most significant issues in multi-objective optimization problem. Improving energy efficiency with the multi-objective optimization has opened new opportunities for technological progress in Industry 4.0.

Numerous authors recommend participation in various types of aerobic exercise, pointing out their positive effects both in terms of the prevention of various illnesses, and in the improvement of one’s health status. The increasingly popular group fitness programs, as preprogrammed forms of physical exercise to music, have positive effects on body composition among women, such as a decrease in body mass and fat, and thus lead to an improvement in overall physical appearance. The aim of this research was to determine the effects of aerobic exercise to music on body composition and subcutaneous fat among young women. In order to compile data from existing research on the effects of aerobic exercise on young women, the following electronic databases were searched: PubMed, SCIndeks, PEDro, J-GATE, DOAJ and Google Scholar. The systematic review was undertaken in accordance with the statement of Preferred Reports for Systematic Review and Meta-Analyses (PRISMA). Papers dating from 2006 to 2019 were analyzed. The research results confirm the positive influence of aerobic exercise to music on the parameters of body composition and subcutaneous fat among young women, irrespective of the overall duration of the exercise programs, with the conclusion that programs lasting up to 12 weeks are more effective when it comes to the decrease and maintenance of body weight, fat reduction, increase in muscle tissue, and lead to an improvement in aerobic abilities. The best effects of this type of exercise at an intensity level of 50 to 80% of maximum heart rate are primarily achieved among obese and overweight individuals.

The study was conducted to identify differences in bilateral coordination between boys and girls in the first grade of primary school. The sample consisted of 30 first grade students, at the age of 7 years ± 6 months. The children were divided into two groups consisting of boys (14) and girls (16). The level of the children’s bilateral coordination was assessed using the Bilateral Coordination (7 variables) subtests that are part of the BOT-2 - the Bruininks-Oseretsky Motor Proficiency Test Battery. The tests are used as a standardized measure of the level of motor skills in children. The obtained data was processed in the SPSS 19 statistical programme, and the non-parametric Mann-Whitney U test was used to determine differences in bilateral coordination. After processing the data, it was noted that there are differences in bilateral coordination between boys and girls, but that they were not statistically significant. For more reliable results and, therefore, more conclusive results and conclusions, it is necessary to perform tests on a larger sample of children.

This article analyzes the remaking of American literature and its identity, focusing transnational American literature in general and, in particular, the contemporary American novel. It discusses a sense of postnational and anational motion of/in U.S. fiction, with an emphasis on the 21st - century American novel, created by both American and non-American authors and observed from a perspective of both American and non-American Americanists. Aimed at exploring literature in motion across “imagined” borders, the article also discusses the synergies between literature and other arts and disciplines in contemporary American literatures in order to provide new insights into literature in general and American literatures in particular. In the dialogue of literature with other disciplines, it examines the synergies between the local, regional, national, and global in contemporary U.S. fiction, as well as the synergies between different discourses of contemporaneity. Moving beyond established models in the way that even the term “transnational” transcends its own definition, the aim is to newly theorize a transnational/post-national/anational as well as transtextual motion of/in American fiction toward new directions of both American and non-American creation of American literatures.