Man consists of different abilities and traits. The degree of development and the level of achievement, as well as their mutual relationship, are different from person to person. Morphological characteristics are the characteristics responsible for the dynamics of growth and development, as well as for the characteristics of the body structure. Motor abilities are features that participate in solving motor tasks and that can be developed to a greater extent. We will find out the difference in these abilities between students active in football and physically inactive students through the results of this master's thesis. The goal of the research is to determine the differences between students who are actively engaged in football and those students who are not active in sports. The research was conducted on 52 subjects, students of an elementary school. Keywords: Motor abilities, elementary school, students

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The decision of the citation database to include or not include a journal is not subject to the control of another entity, or the professional public, and there are no internationally established ethical standards that the citation database would have to apply. As a consequence of the absence of control, the already mentioned offensive reviews and arbitrary interpretation of the criteria for journal inclusion appear. Given that a journal’s entry into the citation database is a condition for its long-term survival, people who make decisions in the citation databases gain the power to shut down or revive certain journals based on personal preferences. Any power that is not controlled is eventually abused. Therefore, our proposal is to urgently establish the principles of ethical behavior of citation databases at the global level and find ways to ensure compliance with such principles.

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The primary objective of this study is to analyze the self-assessment of the mental and physical health of young women from the effects of programmed recreational activities in a three-month period. The sample is composed of 35 women (20 - 40 years old). For a sample of variables in the assessment of mental and physical health, standardized instruments were used: THE HAD scale - Hospital Anxiety and Depression Scale (for mental health assessment) and EQ thermometer (for physical health assessment) The results of the overall condition of all participants before the start of the experimental procedure, 24 participants had no symptoms of depression, 8 participants had a borderline condition, and 3 participants with depressive disorder. After three months of recreational treatment, 30 of the participants have no symptoms of depression, 3 participants have borderline condition and 2 participants with depressive disorder. When it comes to the self-assessment of anxiety in the initial state, it was noted that 26 participants of the experiment had no signs of anxiety, 6 participants had a borderline state of anxiety, while 3 participants had anxiety disorders, of which 2 participants slightly above the limit state and one participant with a particularly high number of points indicating a more severe state of anxiety. At the end of the experiment, 31 participants had no signs of anxiety, 4 had a borderline state and 1 person with a severe anxiety condition. Before the start of recreational activities, one participant rated their physical health as extremely poor and 3 people rated their health as poor. The largest number of participants before the experiment, 16 of them, rated their physical health slightly above average, 10 women rated their physical health as excellent and 5 women rated themselves the best imaginable physical health. After the experiment, only 4 participants estimated lower and average self-health, above average 6, 20 women claimed to have excellent health and 5 participants in the experiment claimed to be in the best physical health imaginable. Keywords: Women, recreation, self-assessment, depression, anxiety, physical health.

Summary: In the northern synclinorium of Kreka coal basin, lignite mine ”Lipnica” was opened in 1950 in Lipnica settlement nearby Tuzla city. During the exploitation period, mine produced 40 million tons of lignite. By extracting the coal reserves, mine was shut down in 1991. Underground caves were filled by classical methods present in underground mining and all entries are sealed. The ground infrastructure remained preserved and has had usable values in three periods when infrastructure was used for various purposes. Conversion for re- use of mining infrastructure is not defined by any categorisation for infrastructure conversion use as the planning element of sustainable development for active or shutdown mines. The article defines categories of sustainable development based on utilizing mine infrastructure on the sample of “Lipnica” mine. The universality of categorisation points out the possible options of optimal re-use of coal mine infrastructure, indicating implementation of a mining company sustainable development concept, either in government or private ownership. Keywords: categorisation, sustainable development, business incubator, Lipnica mine

Abstract This paper investigates the energy-efficient resource allocation algorithm for a massive multiple input multiple output (MIMO) system, in which each base station adapts the number of antennas to the daily load profile. Our paper examines the effect of two user location distribution (ULD) models, on the energy-efficiency (EE) of load adaptive masive MIMO system. We propose a resource allocation strategy to adapt the number of antennas based on tracking variations of ULD and cell loading maximizing the EE. We also evaluate impact of cell size, available bandwidth and output power level of the BS on EE at different cell loading.

Low-grade squamous intraepithelial lesion (SIL) is a cytologic diagnosis etiologically related to human papilloma virus (HPV) infection that leads to the release of inflammation mediators, the formation of reactive oxygen species (ROS) and decreased levels of antioxidants in tissues, which is why antioxidants might be considered effective against SIL progression. This randomized double-blind placebo-controlled study aimed to investigate the effectiveness of alpha-lipoic acid (ALA) supplementation (600 mg/day) on the regression of low-grade SIL in 100 patients. Low-grade SIL was determined after the cytological screening, colposcopic examination and targeted biopsy and histological confirmation of cytological–colposcopic diagnosis. Inflammation parameters and the presence of HPV were determined by standard laboratory methods. Dietary and lifestyle habits were investigated using a standardized and validated semi-quantitative food questionnaire (FFQ). ALA supplementation significantly reduced the proportion of patients with low-grade cytological abnormalities, in comparison to placebo. Given the obtained level of significance (p < 0.001), the presented results indicate that short-term ALA supplementation shows a clinically significant effect on cervical cytology. Future studies should focus on the use of innovative formulations of ALA that might induce bioavailability and therapeutic efficiency against HPV infection and the investigation of synergistic effects of concurrent dietary/lifestyle modification and ALA supplementation in both low-grade and high-grade SIL.

With the ubiquitous deployment and applications of Internet of Things (IoT), security issues pose a critical challenge to IoT devices. External attackers often utilize vulnerable IoT devices to invade the target’s internal network and then further cause a security threat to the whole network. To prevent such attacks, it is necessary to develop a security mechanism to control the access of suspicious IoT devices and manage the internal devices. In recent years, deep learning (DL) algorithm has been widely used in the field of edge device identification (EDI), and has made great achievements. However, these previous methods are essentially centralized learning-based EDI (CentEDI) that trains all data together, which can not guarantee data security and not conducive to deployment on edge devices. To address this problem, we introduce a federated learning-based EDI (FedeEDI) method via network traffic to automatically identify edge devices connected to the whole network. Experimental results show that the training efficiency of our proposed FedeEDI method is much higher than that of the CentEDI method, although its classification accuracy is slightly reduced. In contrast to the CentEDI method, the proposed FedeEDI method has two main advantages: faster training speed and safer training process.

Rogue emitter detection (RED) is a crucial technique to maintain secure internet of things applications. Existing deep learning-based RED methods have been proposed under friendly environments. However, these methods perform unstably under low signal-to-noise ratio (SNR) scenarios. To address this problem, we propose a robust RED method, which is a hybrid network of denoising autoencoder and deep metric learning (DML). Specifically, denoising autoencoder is adopted to mitigate noise interference and then improve its robustness under low SNR while DML plays an important role to improve the feature discrimination. Several typical experiments are conducted to evaluate the proposed RED method on an automatic dependent surveillance-Broadcast dataset and an IEEE 802.11 dataset and also to compare it with existing RED methods. Simulation results show that the proposed method achieves better RED performance and higher noise robustness with more discriminative semantic vectors than existing methods.

Specific emitter identification (SEI) is a potential physical layer authentication technology, which is one of the most critical complements of upper layer authentication. Radio frequency fingerprint (RFF)-based SEI is to distinguish one emitter from each other by immutable RF characteristics from electronic components. Due to the powerful ability of deep learning (DL) to extract hidden features and perform classification, it can extract highly separative features from massive signal samples, thus enabling SEI. Considering the condition of limited training samples, we propose a novel few-shot SEI (FS-SEI) method based on hybrid data augmentation and deep metric learning (HDA-DML) which gets rid of the dependence on auxiliary datasets. Specifically, HDA consisting rotation and CutMix is designed to increase data diversity, and DML is used to extract high discriminative semantic features. The proposed HDA-DML-based FS-SEI method is evaluated on an open source large-scale real-world automatic-dependent surveillance-broadcast (ADS-B) dataset and a real-world WiFi dataset. The simulation results of two datasets show that the proposed method achieves better identification performance and higher feature discriminability than five latest FS-SEI methods.

The research was conducted on a sample of athletes aged 13-15 from BiH, namely 60 athletes and 60 karate players. The participants were divided into groups consisting of 30 athletes and karate athletes. Experimental groups of athletes, in addition to regular training operators, had additional operators, while the control group of athletes and the control group of karate players performed the training process by practicing regular kinesiological operators. A set of nine variables was used to evaluate the speed properties of the investigated sample of athletes. The assessment of segmental velocity was carried out with three common variables, speed in athletes with three variables characteristic of speed assessment for athletes and speed in karate players with three variables specific to the assessment of speed in karate players. Therefore, the main objective of this research is to determine the effects of the application of additional training operators on the rapid properties of athletes in sports of monostructural and polystructural type. The program of additional kinesiology operators was implemented within five training units during the weekly microcycle. The treated speed properties of athletes in a period of six months, which in addition to the basic program include the program of additional training operators, progressed significantly faster and better within the experimental treatment. Also, positive effects were achieved by applying the basic program in the control sample, but on a somewhat smaller scale. From a kinesiological- methodical point of view, the applied experimental treatment indicates the fact that it has largely contributed to positive effects in the experimental group of athletes in relation to the control group. It is also evident that in both groups of karate players there are positive changes in velocity properties. However, the experimental group sees a significantly better transformation of certain anthropological features compared to the control group. These facts suggest that the application of additional kinesiological operators in the experimental group produced greater effects on the development of rapid properties in the experimental karate team compared to the control group. Keywords: Effects, kinesiological operators, speed properties, athletes.