Millimeter wave (mmWave) systems need beam management to establish and maintain reliable links. This complex and time-consuming process seriously affects communication efficiency. Benefiting from data-driven technology in deep learning, the beam can be predicted from the waveform without coordination between transceivers. By passively listening enough waveforms that are transmitted from the base station (BS) to other receivers, the BS can predict which beam is suitable for transmitting in the downlink. However, training such a waveform learning neural network usually requires a large number of labeled training samples. This is a huge challenge, because it is difficult for the receiver to get the precise signal parameters from the transmitter in advance in the non-cooperative mmWave system. As a result, the limited samples may cause overfitting and seriously restrict the performance. Although the data augmentation technology can improve the performance under limited samples, existing data augmentation methods are mostly based on strong prior knowledge which cannot further exploit the potential characteristics of data in the real environment. This paper proposes a mixed regularization training method for training the beam prediction neural network under limited training samples. Specifically, data augmentation is implemented in the data pre-processing procedure with prior knowledge and then the signal splicing strategy is proposed in the training procedure. In order to mine the time correlation characteristics of signals, the cyclic time shift (CTS) based data augmentation method is proposed in the data augmentation step. The simulation results show that our proposed deep regularized waveform learning method needs less training samples under the same performance. Moreover, the proposed method can achieve best performance compared with existing data augmentation methods.

As technology is the driver of the economy, it is necessary to follow emerging technological trends and to create appropriate conditions for its adoption and implementation as a human-centred technology. In this regard, rules and standards for the Internet of Things (IoT) and Artificial Intelligence (AI) should be established to best use the benefits of technology and to prevent or minimize the consequences of technology misuse. The fifth industrial revolution (Industry 5.0) has already begun, although Industry 4.0 is still developing. Consequently, the original attention has shifted from IoT to AI, with the IoT debate now being a prerequisite for the AI debate. As AI is transforming our lives, a growing number of countries have considered or already adopted national AI strategies. However, in many developing countries, national AI strategies and initiatives for establishing AI and IoT regulation and legislation frameworks yet need to be discussed. The subject of this article is the research of existing initiatives related to establishing the IoT and AI regulatory and legislative framework in the EU and its applicability in developing countries.

Player performance in an intense sport such as basketball is known to be related to attributes such as speed, agility, and power. This study presents a comparative analysis of associations between anthropometric assessment and physical performance in different age groups of elite youth basketball players, while simultaneously identifying the predictors for speed and agility in these players. U14 (n = 44), U15 (n = 45), and U16 (n = 51) players were tested for anthropometry, lower-body power, speed, and agility. U16 players were found to be taller, heavier, more muscular than U14 and U15 players. In addition, the U16 group showed better performance in all performance tests. Age had a significant positive correlation with countermovement (CMJ) and drop jump (DJ) performance in U14 players, and a significant negative correlation with 15m and 20m sprint times in the U15 group. CMJ and DJ emerged as the most significant predictors for sprint and agility variables, respectively. Body fat percentage was found to be a significant predictor for the speed and agility tests in all age groups, but a negative lower-body power predictor. Therefore, besides all sport-specific and fitness tests, it is essential to place emphasis on the percentage of body fat when designing players’ individualized training programs, and during team selection.

The complexity of orchestrating Beyond 5G services, such as vehicular, demands novel approaches to remove limitations of existing techniques, as these might cause a large delay in orchestration operations, and thus, negatively impact the service performance. For instance, the human-in-the-loop approach is slow and prone to errors, and closed loop control using rule-based algorithms is difficult to design, as an abundant number of parameters need to be configured. Applying Artificial Intelligence (Al)/Machine Learning (ML), in combination with Network Function Virtualization (NFV) and Software Defined Networking (SDN), seems a promising solution for enabling automation and intelligence that will optimize orchestration operations. In this article, we study the challenges in current ETSI NFV orchestration solutions for B5G C-V2X edge services; propose an Al/ML-based closed-loop orchestration framework; propose how and which Al/ML techniques can alleviate the identified challenges and what are the implications resulting from applying certain Al/ML techniques; and discuss A//ML-based system enablers for B5G C-V2X services.

The goal of our research is improvement of mathematics curriculum and popularization of mathematics among students of economics in developing countries. We analyze and compare curricula of pure mathematics courses that are taught to university students of faculties of economics in Japan and in Bosnia and Herzegovina. Data set contains math syllabuses in 2021/22 school year from six public universities in Bosnia and Herzegovina and seven from Japan. The text corpus was pre-processed and then the Term Frequency – Inverse Document Frequency algorithm, and Sentence Transformed Multi QA model were applied to build word vectors, find the similarity among Japanese and Bosnia and Herzegovina mathematics syllabuses using cosine similarity approach, and to find the key competences of these two countries mathematics syllabuses using the word cloud. Our results show the following similarity between the curricula: 60.7 percent using TF-IDF and 80.3 percent using Multi QA model. The key competences in the Japanese mathematics course are narrow and focused, in contrast to Bosnia and Herzegovina’s.

OBJECTIVE Depression and obesity are two highly prevalent and often comorbid conditions. Exposure to early-life stress (ELS) has been associated with both depression and obesity in adulthood, as well as their preclinical manifestations during development. However, it remains unclear whether: (i) associations differ depending on the timing of stress exposure (prenatal vs postnatal) and (ii) ELS is a shared risk factor underlying the comorbidity between the two conditions. METHOD Leveraging data from two large population-based birth cohorts (ALSPAC: n=8428 (52% male participants); Generation R: n=4268 (48% male participants)), we constructed comprehensive cumulative measures of prenatal (in utero) and postnatal (from birth to 10 years) ELS. At age 13.5 years we assessed: a) internalizing symptoms (using maternal reports); b) fat mass percentage (using dual-energy X-ray absorptiometry); c) their comorbidity, defined as the co-occurrence of high internalizing and high adiposity. RESULTS Both prenatal (total effect [95%CI] = 0.20 [0.16;0.22]) and postnatal stress (β [95%CI] = 0.22 [0.17;0.25]) were associated with higher internalizing symptoms, with evidence of a more prominent role of postnatal stress. A weaker association (primarily driven by prenatal stress) was observed between stress and adiposity (prenatal: 0.07 [0.05;0.09]; postnatal: 0.04 [0.01;0.07]). Both pre- (OR [95%CI] = 1.70 [1.47;1.97]) and postnatal stress (1.87 [1.61;2.17]) were associated with an increased risk of developing comorbidity. CONCLUSION We found evidence of (i) timing and (ii) shared causal effects of ELS on psycho-cardiometabolic health in adolescence, but future research is warranted to clarify how these associations may unfold over time.

Unlike other adverse drug reactions, visceral organ involvement is a prominent feature of drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome and correlates with mortality. The aim of this study was to systematically review cases published in PubMed-indexed, peer-reviewed journals in which patients had renal injury during the episode of DRESS syndrome (DS). We found 71 cases, of which 67 were adults and 56% were males. Female sex was associated with higher mortality. Chronic kidney disease (CKD) was present in 14% of patients who developed acute kidney injury (AKI) during DS. In 21% of cases, the kidneys were the only visceral organ involved, while 54% of patients had both liver and kidney involvement. Eosinophilia was absent in 24% of patients. The most common classes of medication associated with renal injury in DS were antibiotics in 34%, xanthine oxidase inhibitors in 15%, and anticonvulsants in 11%. Among antibiotics, vancomycin was the most common culprit in 68% of patients. AKI was the most common renal manifestation reported in 96% of cases, while isolated proteinuria or hematuria was present in only 4% of cases. In cases with AKI, 88% had isolated increase in creatinine and decrease in glomerular filtration (GFR), 27% had AKI concomitantly with proteinuria, 18% had oliguria, and 13% had concomitant AKI with hematuria. Anuria was the rarest manifestation, occurring in only 4% of patients with DS. Temporary renal replacement therapy was needed in 30% of cases, and all but one patient fully recovered renal function. Mortality of DS in this cohort was 13%, which is higher than previously reported. Medication class, latency period, or pre-existing CKD were not found to be associated with higher mortality. More research, particularly prospective studies, is needed to better recognize the risks associated with renal injury in patients with DS. The development of disease-specific biomarkers would also be useful so DS with renal involvement can be easier distinguished from other eosinophilic diseases that might affect the kidney.

Objective: To summarize the existing knowledge about adrenal gland abscesses, including etiology, clinical presentation, common laboratory and imaging findings, management and overall morbidity and mortality. Design: Systematic literature review. Methods: We performed a search in the PubMed database using search terms: ‘abscess and adrenal glands’, ‘adrenalitis’, ‘infection and adrenal gland’, ‘adrenal abscess’, ‘adrenal infection’ and ‘infectious adrenalitis’. Articles from 2017 to 2022 were included. We found total of 116 articles, and after applying exclusion criteria, data from 73 articles was included in the final statistical analysis. Results: Of 84 patients included in this review, 68 were male (81%), with a mean age of 55 years (range: 29 to 85 years). Weight loss was the most frequent symptom reported in 58.3% patients, followed by fever in 49%. Mean duration of symptoms was 4.5 months. The most common laboratory findings were low cortisol (51.9%), elevated ACTH (43.2%), hyponatremia (88.2%) and anemia (83.3%). Adrenal cultures were positive in 86.4% cases, with Histoplasma capsulatum (37.3%) being the leading causative agent. Blood cultures were positive in 30% of patients. The majority of the adrenal infections occurred through secondary dissemination from other infectious foci and abscesses were more commonly bilateral (70%). A total of 46.4% of patients developed long-term adrenal insufficiency requiring treatment. Abscess drainage was performed in 7 patients (8.3%) and adrenalectomy was performed in 18 (21.4%) patients. The survival rate was 92.9%. Multivariate analysis showed that the only independent risk factor for mortality was thrombocytopenia (p = 0.048). Conclusion: Our review shows that adrenal abscesses are usually caused by fungal pathogens, and among these, Histoplasma capsulatum is the most common. The adrenal glands are usually involved in a bilateral fashion and become infected through dissemination from other primary sources of infection. Long-term adrenal insufficiency develops in 46% of patients, which is more common than what is observed in non-infectious etiology of adrenal gland disorders. Mortality is about 7%, and the presence of thrombocytopenia is associated with worse prognosis. Further prospective studies are needed to better characterize optimal testing and treatment duration in patients with this relatively rare but challenging disorder.

Modern business systems have the expectations and requirements of users and stakeholders for safer and better services that are constantly growing. The increasing use of information technology in business increases the threats and vulnerabilities to which information resources are exposed, which causes an increase in information risks. Many business institutions must constantly monitor their activities to establish an organized and sustainable information security management system and services. The requirements of the international standard ISO/IEC 27001 and the generally accepted COBIT management framework are important for the application of such a system. The paper presents a model of a sustainable information security management system (ISMS) at universities.

Workplace stress or professional stress is a specific type of stress that is highly prevalent among police officers. Police officers are exposed to high levels of stress and its negative impact ontheir physical and mental health, as well as their social lives. The aim of this research is to determine the attitudes regarding the connection between physical fitness and stress prevention among police officers. The sample consists of 516 employees from police departments in the Central Bosnia Canton. The sample is structured with 312 male participants and 204 female participants. Both descriptive and analytical methods were applied in this research, as the descriptive method was used to describe the distribution of the studied phenomenon, while the analytical part followed the logic of the research. Analyzing all the results, it can be concluded that there is a high level of satisfaction with the management of work processes among police officers and with stress reduction in the workplace. The conclusion arises about the necessity of increasing the number of hours of police training, primarily for basic and investigative police work, in stress prevention among police officers. The results of comparative analysis indicate that there is no statistically significant difference among participants based on gender. The results show that the age of the participants significantly influences their attitudes towards overall satisfaction with management quality. Theresults suggest that participants who have been employed the longest and make the most use of the existing infrastructure express more positive attitudes.Key words:police, stress, physical fitness, burnout, prevention.

Explosive forming is one of the non-conventional impulse technologies of metal forming technologies and it is a relatively young technology that has not been fully explored. The origin, development and application of explosive forming technology is given in this paper, and the advantages and disadvantages are also described. Given the specificity of this technology, this paper presents the calculation of the mass of the explosive as the most important factor in this process and the calculation of the pressure of the shock wave. In fact, with conventional deep drawing technologies, it is possible to design the technology and follow the same steps to reach products of different dimensions. In explosive forming, this is a problem, and it is not possible to follow these rules. Experiments of explosive forming can only be performed by employees trained to work with explosives, following prescribed procedures.

The article presents a theoretical and conceptual examination of religious violent and unethical non-violent behaviors, ethnopolitical and clerical synergism, and religious peace-building capacity. I argue that the phenomenon of religious/ethnic violent and non-violent interchangeability adopted by national political unethical behavior has adverse consequences on the post-Yugoslav social behavior and reconciliation process; religions should be a moral peace-building agency. The multiethnic/multireligious socialist Yugoslav society has been violently transformed into influential ethical and clerical cultures, producing antagonistic ethnonational societies sustaining pastoralism as potent identity manifestations of the social capital. War-period visual violence and emotions influenced violent behavior and policy within the discourse "our vs. their sacred ethnic land," creating an unbearable ease of creating fear and motivating violent antagonism and war crimes. The post-war antagonistic media rhetoric, visual antagonism, and abuse of faith adversely impact peaceful coexistence. Ethnic, religious, ideological, and political contextual factors are challenging to generate in post-conflict, divided Balkan societies. Fear of others, religiously distinct, is a category that's difficult to determine and prevent. Western-Balkan societies possess victimological and political mythical conventions, honoring ethnoreligious war victories, defeats, and agonies, maintaining hostility and revenge discourse. Historically, religions were misused to justify violence and maintain non-violence, unethical sociopolitical order, and negative peace. The ideologies of religious superiority intertwine with intensely dominant national perceptions, so belonging to the Serb, Croat, or Bosniak people is equated with Orthodoxy, Catholicism, or Islam. This entanglement is the groundwork for despondency and a hostile peace climate. Current clerical and ethnopolitical policies lead further away from conflict transformation, directing toward the renewal of monotheistic spirituality, cognition, and violence. Political involvement affects "authentic" religion. We should engage in all-inclusive theological and consensus approaches to demonstrate that religions are peace-building agencies, retrieving and revitalizing authentic morality criteria. Religious sentiments mobilize people more rapidly than other identities.

UAV technologies provide a time- and cost-efficient framework for a variety of environmental monitoring domains. It also increases data resolution and provides new insights into observed objects and phenomena, especially within the difficult-to-access and complex for monitoring aquatic habitats. The objective of this study was to develop UAV-based acquisition and GIS-based image processing guidelines for aquatic macrophyte detection and monitoring in large temperate rivers. According to the European standard CEN EN -14184:2014, the assessment of aquatic macrophytes should be performed using the transect approach. Large rivers, such as the Danube, represent an exception and should be evaluated using 1km transects. Therefore, seven transects of the Middle Danube in Serbia were simultaneously surveyed using traditional field methods and novel UAV technology. UAV images were acquired using RGB and multispectral cameras carried by a fixed-wing drone. The images were processed and orthomosaics were classified using Object Based Image Analysis (OBIA), to create digital GIS maps of the river transects. During the traditional monitoring approach, the relative abundance of 22 macrophyte species was recorded along the transects. Using the UAV technology and OBIA approach eight macrophyte classes were distinguished based on dominant macrophyte taxa or plant life form traits. Aquatic macrophytes were 'almost perfectly' distinguished from the orthomosaics, achieving a high classification accuracy of 96 % / 88 % / 0.84 for RGB and 94 % / 97 % / 0.95 Producers /Users accuracy/Kappa index for the multispectral approach. Individual macrophyte classes accuracy varied between 0.5 and 1 Kappa and were generally higher for the multispectral imagery approach. Although the resolution of the taxonomic data is lower, UAV monitoring provided the necessary spatial context of macrophytes distribution and absolute area occupied by macrophytes. It also provided information on the diversity and distribution of habitats along the river. Therefore, the UAV-assisted monitoring approach described in this study can be effectively integrated into macrophyte monitoring during large river expeditions such as the JDS.

This paper analyses whether there have been any changes in the behavior and patterns of tourist travel after the outbreak of the COVID-19 pandemic. The convenience sample included 265 respondents. The results of the study show that the most important factors in choosing to travel during the COVID-19 pandemic are: cleanliness, safety, comfort, costs, and social distance. The results of the study show a statistically significant difference in the factors that influence choosing to travel during COVID-19 with regard to employment, i.e., occupation, whereby the most factors when deciding on travel during COVID-19 are considered by pensioners and the least by students. When choosing a destination, as well as the image of the destination from the perspective of tourists, the study showed that owning a car is a statistically significant factor. The study also shows that there is a positive relationship that is statistically significant between the factors that influence choosing to travel during COVID-19 and the factors when choosing a destination from the perspective of tourists and the image of the destination, so those respondents who take into account more factors when choosing to travel during COVID-19, also take into account several factors when choosing a destination from the perspective of tourists and the image of the destination.