Summary This study assessed the potential of probiotic characteristics of bacterial strains isolated from dry-cured sheep ham. It is one of the most common autochthonous processed meat products made in a traditional way on the Pešter plateau (Western Serbia). Isolates were identified as Lactobacillus curvatus (9 strains), Lactobacillus sakei (3 strains), and Enterococcus faecium (4 strains) using MALDI-TOF mass spectrophotometry. The study of probiotic characteristics of 16 dry-cured sheep ham isolates included survival rate through the gastrointestinal tract (GI), the possibility of biogenic amine synthesis, growth on medium with different concentrations of phenol,and antimicrobial activity. The results showed that in simulated gastric juice conditions, the cell number decreased after the first hour of incubation in the tested strains of Lb. curvatus, Lb. sakei and En. faecium except in the case of Lb. curvatus IIos19 where the number of cells remained approximately the same. After the second hour of incubation, the number of cells generally remained at the level of the first hour except in the case of the following isolates: Lb. sakei Ios12, Lb. curvatus IIos18 and En. faecium IIos24, where an increase in the number of cells was noticed after the second hour of incubation. In simulated small intestine conditions, an increase in the number of vital cells after 4 and 6 hours of incubation was observed in the isolates Lb. curvatus IIos4, Lb. sakei (Ios12, IIIos13), and En. faecium Ios1a. Synthesis of biogenic amines was not observed in investigated lactobacilli and enterococci. Analyzed isolates exhibited growth on media with 0.1% and 0.2% phenol, while 5 isolates exhibited decarboxylase activity. Six Lactobacillus strains, Lb. curvatus (IIos6, IIos17, and IIIos1), Lb. sakei (IIIos16, Ios12, and IIIos13) and En. faecium Ios4 inhibited the growth of tested pathogens, including Escherichia coli ATCC 25922, Staphylococcus aureus ATCC 25923, Listeria monocytogenes ATCC 19115, Pseudomonas aeruginosa ATCC 27853 and Bacillus cereus ATCC 14579.

Engaging in non-driving related tasks (NDRTs) while driving can be considered distracting and safety detrimental. However, with the introduction of highly automated driving systems that relieve drivers from driving, more NDRTs will be feasible. In fact, many car manufacturers emphasize that one of the main advantages with automated cars is that it “frees up time” for other activities while on the move. This paper investigates how well drivers are able to engage in an NDRT while in automated driving mode (i.e., SAE Level 4) in real traffic, via a Wizard of Oz platform. The NDRT was designed to be visually and cognitively demanding and require manual interaction. The results show that the drivers’ attention to a great extent shifted from the road ahead towards the NDRT. Participants could perform the NDRT equally well as when in an office (e.g. correct answers, time to completion), showing that the performance did not deteriorate when in the automated vehicle. Yet, many participants indicated that they noted and reacted to environmental changes and sudden changes in vehicle motion. Participants were also surprised by their own ability to, with ease, disconnect from driving. The presented study extends previous research by identifying that drivers to a high extent are able to engage in a NDRT while in automated mode in real traffic. This is promising for future of automated cars ability to “free up time” and enable drivers to engage in non-driving related activities.

The purpose of this systematic review is to point out the application of the Fitlight trainer system in sports. The following electronic databases were used to search the literature: Google Scholar, PubMed, Medline, Mendeley, 2014-2020. Following the selection procedure according to the relevant criteria, 22 studies were selected as fit to needs of this systematic review. A review of researches that used the Fitlight training system in sports has revealed a rather heterogeneous selection of topics. The results obtained are classified according to the sports in which the research was conducted. The results summary provided us with the insight into the multiple uses of the Fitlight system in sports as a training and measurement tool. It can be used in both individual and team sports. It can test sensory-cognitive and various motor skills: reaction speed, speed of single movement, speed of running, agility. Based on all of the information provided, the possibility of multiple applications of the Fitlight system in sports was highlighted.

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.

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.

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.