Introduction: Syncope is one of the most common reasons for seeking medical attention in the pediatric population. The underlying etiology ranges from benign causes to potentially life-threatening conditions. Objective: This cross-sectional retrospective study aimed to cardiologically evaluate children presenting with syncope and identify potential predictive parameters for cardiogenic syncope, the most dangerous type of syncope. Patients and Methods: Data from 100 children aged 6 to 18 years who presented with syncope were retrospectively collected from medical records at the Pediatric Clinic of the Clinical Center of the University of Sarajevo between January 1, 2021, and December 31, 2022. Binary logistic regression was used to examine the predictive significance of the studied parameters. Results: Of the 100 children with documented syncope, 71.0% were girls, with the peak incidence of syncope episodes occurring at age 15. There were no statistically significant differences in height, weight, or BMI between boys and girls. The most common cardiac diagnosis was sinus arrhythmia, while headache was the most frequent non-cardiac symptom. Seventy-three percent of patients experienced more than one syncope episode, with the highest percentage occurring at school. Prodromal symptoms were present in 87% of cases, whereas palpitations and chest pain prior to syncope were reported in 10% and 12% of cases, respectively. Among the 49 patients with abnormal ECG findings, 29% had sinus arrhythmia and 25% had incomplete right bundle branch block. The most common echocardiographic finding was mild pulmonary valve regurgitation, which is considered a physiological variant. Of all studied parameters, only EEG demonstrated significant predictive value for cardiogenic syncope (p = 0.035, EXP(B) = 2.99). Conclusion: EEG findings have predictive significance for cardiogenic syncope in children. A borderline EEG increases the odds of cardiogenic syncope by approximately threefold.

Background: Depressive disorder is characterized by a persistent low mood (sadness, irritability, or emptiness) or a loss of pleasure, accompanied by other cognitive, behavioral, or neurovegetative symptoms that significantly impair a person's ability to function. Anxiety and fear-related disorders are marked by excessive anxiety and fear, which lead to behavioral disturbances and cause significant distress or impair personal, family, social, educational, occupational, or other key areas of functioning. Objective: The aim of this study was to analyze whether there are differences in the development of depressive symptoms between COVID-19 patients and patients with symptoms of the flu or common cold. Methods: This is a prospective study that included sixty participants: thirty with COVID-19 and thirty without COVID-19. Data were collected from the ambulatory observational records of participants, documenting their symptoms. We analyzed the relationship between variables such as age, sex, education, and the level of potential depression. The participants were divided into two groups: one consisting of individuals with COVID-19 and the other of individuals without COVID-19. All participants were male and female, aged between 40 and 65 years, and had no previous history of depressive disorder. The first group consisted of patients with COVID-19 who were treated at home but were examined at our outpatient clinic and subsequently sent home. Results: Statistical data processing was performed using the Excel program and the R statistical data processing program. Percentages are calculated in relation to 30 respondents in each group.There was no statistically significant correlation between the level of education in Group 1 and the development of depression(Spearman ro=0.007, P=0.972). In Group 1 (Covid ) there is a statistically significant correlation between the age of the subjects and the development of depression (Spearman ro=0.44, P=0.015). A positive value of the Spearman correlation coefficient means that the score increases with the age of the respondent. Three questions with the highest score in group 1 were: Question 2=71, Questions 15 and 16=66, Question 14=65; three questions with the highest score in group 2 were: Question 2=74, Question 1 =50, Question 18=46. Conclusion: COVID-19 can contribute to the development of depression. In our study, 16.7% of patients with COVID-19 showed signs of depression, with 10% experiencing mild depression and 6.7% experiencing moderate depression. Patients in the first group, particularly those of older age, were more likely to develop mild or moderate depression associated with COVID-19. Additionally, no statistically significant correlation was found between the level of education in Group 1 and the development of depression.

According to the WHO, health is not just the absence of disease, but a state of complete physical, social and mental well-being, which is why the main goals of health are aimed at improving physical, mental and spiritual health. Health is one of the fundamental rights of every human being, a precondition for prosperity and quality of life indicator for measuring progress and the basis of steady economic growth. Today, many professions are committed to modernizing the culture of relations with the public, i.e. citizens. This is also essential in healthcare, with the aim of placing the patient’s well-being and rights at the center of attention, i.e. a culture of patient-centeredness. In order to ensure that the rights of every patient are respected, a more efficient system of protecting patients’ rights is needed at all levels, and above all in hospitals, and, patient representatives should be appointed in all hospitals. The health status of our population depends on a rapid changes, such as number of demographic, social, cultural, ethnical, and other characteristics which are for several decades in a very intensive changes, The Jakarta Declaration identified five priorities: a) Promoting social responsibility for the state of health; b) Increasing investments for development of health; c) Development of partnerships for work on health promotion; d) Increasing the capacity of society and training the individual; e) Provision of infrastructure for health promotion. Analyzes of the effectiveness of preventive activities represent a systematic assessment of the impact of public health policies, programs and practices on health outcomes. Based on them, it is possible to create basic recommendations related to public health programs, guidelines for prevention and control, and making decisions about the allocation of available funds.

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Background: Lyme Borreliosis is a multisystem zoonosis caused by the spirochete Borrelia Burgdorferi and is widespread throughout the world. Borrelia is called the greatest imitator, because it can imitate any disease. The frequent presence of Borrelia in some neurological, dermatological, ophthalmological, cardiology and other patients points to a dilemma: is Borrelia burgdorferii really an imitator or is it the main actor of these diseases. Objective: The aim of this paper is to answer the question: is Borrelia burgdorferi the initiator and main cause of most diseases that are etiologically unexplained. Methods: The paper presents unusual clinical pictures of chronic borreliosis in 10 patients, who recovered on antibiotic therapy, and which are the most striking examples from a group of similarly ill patients. Case study presentation: A total of 10 interesting cases of borreliosis patients were presented. These are the cases: Scleroderma in a 29-year-old patient, generalized lymphadenitis with extreme leukocytosis in a 52-year-old woman, paraparesis in a 24-year-old professional soldier after mild serous meningitis, ALS in a 14-year-old schoolgirl, a case of bilateral migrating optic neuritis in a 13-year-old schoolgirl, retinal ablation in a 32-year-old patient, secondary sterility due to cystic ovaries in a 32-year-old shopkeeper with chronic urticaria, MS in a 20-year-old student, nightmares and moonwalking in a 7.5-year-old pupil complicated with left-sided bartonellosis lymphadenitis of the neck, recurrent syncope with attacks of tachypnea in a 19-year-old patient. All of these patients had normal routine findings, except for the patient with leukocytosis. Infectious disease diagnosis in all patients was made clinically, based on anamnestic data, clinical picture and verified white and/or pink borreliosis striae, and serological confirmation of the presence of the bacterium Borrelia burgdorferi using ELISA, WB and Immunoblot techniques. Conclusion: Based on the presented cases and 12 years of continuous experience with patients with Lyme disease, we conclude that Borrelia burgdorferi is in most cases the cause of the disease of “unknown cause” in neurology, dermatovenerology, ophthalmology, gynecology, internal medicine. The diagnosis of Borrelia is made primarily clinically (extensive anamnesis by organs + finding of new clinical markers on the skin). Serological confirmation of the presence of Borrelia in the body can be done in a small number of cases using the ELISA + WB technique, because these antibodies last for a short time. In older children and adults, it is necessary to use the advanced Immunoblot technique that searches for antibodies to B.B. protein sequences. and additionally search for Borrelia by light microscopy in a native serum preparation.

Background: Suicide is a major public health issue and a leading cause of premature mortality worldwide. Assessing suicide risk remains challenging due to multifactorial risks. Objective. The aim of the study was to present ten-year trends in suicides in the Zenica-Doboj Canton and to describe the methods of suicide by gender, age, and year of occurrence, with the goal of better understanding this complex and deviant form of behavior. Methods: In the article has been included a retrospective analysis of suicide data collected from the suicide reporting form in the Zenica-Doboj Canton, obtained from the Institute for Health and Food Safety Zenica for the period 2015–2024. Results: Resuzlts are based on 147 processed cases of suicide over a ten-year period. The distribution of suicides by age group was: under 1 year: 0 (0%), 1–4: 0 (0%), 5–9: 0 (0%), 10–14: 0 (0%), 15–19: 4 (3%), 20–29: 16 (11%), 30–39: 13 (9%), 40–49: 20 (15%), 50–59: 26 (18%), 60–64: 27 (19%), 65–69: 9 (6%), 70–79: 20 (14%), 80+: 12 (8%). The average number of suicides per age group was x̄ = 11.3. Yearly suicide cases: 2015: 19 (12.9%), 2016: 19 (12.9%), 2017: 22 (14.9%), 2018: 29 (19.7%), 2019: 29 (19.7%), 2020: 8 (5.4%), 2021: 1 (0.68%), 2023: 0 (0%), 2024: 0 (0%). The average number of suicides per year was x̄ = 14.7. The gender distribution was 73% male and 27% female, with a male-to-female ratio of 2.7:1. The most common method was intentional self-harm by hanging, strangulation, and suffocation; 93 (63.2%). Conclusion. Understanding suicide trends, mechanisms, and methods in the Zenica-Doboj Canton can help in the development of early-prevention programs and prevention strategies, as well as in better understanding the contributing factors and suicidal individuals’ attitudes that lead to such fatal decisions.

This paper presents a mathematical model for the calculation of transient current distribution in grounding systems, based on antenna theory. The modeling of grounding electrodes relies on a system of coupled integro-differential equations of the Pocklington type, applied to complex wire structures buried in a semi-space with finite conductivity. The Pocklington equation is derived directly from Maxwell’s equations, and the paper thoroughly describes the entire procedure, including the influence of the boundary between two media using Fresnel reflection coefficients. The system of equations is solved using the indirect boundary element method, resulting in the determination of current distribution along grounding structures of various geometries, which represents a fundamental parameter for analyzing the transient response of grounding systems.

(BHS) Ovaj rad se fokusira na upotrebu mašinskog učenja i korištenje namjenskih baza podataka vještačke inteligencije u svrhu kreiranja rješenja zasnovanih na unaprijeđenom algoritmu za preventivno upravljanje rizicima i predikciju rizika u realnom vremenu. U radu se analiziraju postojeći standardi, njihovi nedostaci i moguća rješenja za unapređenje, kao i struktura i algoritamska osnova ovih sistema, te njihova integracija u postojeće sigurnosne arhitekture i platforme. Obuhvaćena je detekcija prijetnji na osnovu anomalija i analiza ustaljenog korisničkog ponašanja prema zadanim obrascima, procjena rizika i proaktivna detekcija napada. Pravovremena identifikacija i upravljanje rizicima postaju ključni faktori održivosti kompanija i sigurnosti poslovnih i informacionih sistema. Prediktivna analitika, zasnovana na vještačkoj inteligenciji, mašinskom učenju i analizi velikih skupova podataka, donosi transformacijske mogućnosti u oblastima poput industrije, finansija i zdravstva, koje su u savremenoj eri povezane sajber sigurnošću i predikcijom rizika, a koje pomažu donosiocima odluka da efikasnije upravljaju sistemima i zaštite ih. Integrativni pristup usklađivanju ovih tehnologija, posebno u kontekstu organizacione strukture i pravnog okvira, obuhvata pitanja pouzdanosti i transparentnosti modela, odgovornosti za automatizovane odluke, zaštite privatnosti i usklađenosti sa zakonodavstvom. Cilj rada je pružiti sveobuhvatan pregled tehnoloških i metodoloških inovacija u prediktivnoj zaštiti od sajber rizika, te identifikovati pravce budućeg razvoja sa posebnim fokusom na sigurnost, etiku i pouzdanost AI sistema. (ENG) This paper focuses on the use of machine learning and the use of dedicated AI databases to create solutions based on an improved algorithm for preventive risk management, and real-time risk prediction. The paper analyses the existing standard, its shortcomings and solutions for improvement, and the structure and algorithmic basis of these systems, as well as their integration into existing security architectures and platforms. The work includes the detection of threats based on anomalies and the analysis of established user behavior according to given patterns, risk assessment and proactive detection of attacks. Timely identification and management of risks are becoming key factors in corporate sustainability and security of business and information systems. Predictive analytics, based on artificial intelligence, machine learning and big data analytics, bring transformational opportunities in areas such as industry, finance, healthcare, which in the modern era are connected by cybersecurity and risk prediction that help decision makers to manage systems more efficiently and protect them. An integrative approach to harmonizing these technologies, especially considering the organizational structure and legal framework, includes issues of reliability and transparency of models, as well as accountability for automated decisions, privacy protection and compliance with legislation. The aim of the paper is to provide a comprehensive overview of technological and methodological innovations in predictive protection against cyber risks, and to identify directions for future development with a special focus on the security, ethics and reliability of AI systems.

Background: Legal certainty is a guiding principle in all European countries. One of the main tools for achieving legal certainty in Europe is the codification of law. In 2023, Saudi Arabia adopted its first codification of contractual and non-contractual obligations through the Civil Transactions Law (CTL), aiming to achieve greater legal certainty. This shift represents a major shift from a predominantly Shariah-based jurisdiction towards civil law. This research examines whether the enactment of the CTL has influenced the Saudi Commercial Court's interpretation of compensation claims. Methods: A mixed-methods approach was adopted to track citation trends over time and to examine case law documents to confirm the quantitative results. Qualitative empirical analysis, specifically document analysis, was utilised to identify and extract Shariah jurists’ opinions, providing depth to the statistical results. Quantitative empirical methods, including interrupted time series (ITS), were applied to assess whether the compensation provisions in the CTL led to significant shifts in compensation claims decisions. Overall, 2,913 cases decided before the enactment of the CTL and 61 decided under the CTL were analysed in this study. Results and conclusions: The pre-law analysis indicates that courts cited Shariah jurists or general legal principles to establish the liability for compensation. In contrast, post-law analysis suggests a discernible shift, with courts increasingly citing civil law provisions directly, notably Articles 120 and 720 of the CTL. This shift is supported by an increase in overall article citations within compensation judgments, rising from 36% to 62%, supported by the examination of cases decided based on these articles. These findings indicate that the enactment of the Civil Transactions Law has contributed to enhancing the legal certainty in Saudi commercial courts.