The paper describes the continuous attacks on the socialist Republic of Bosnia and Herzegovina and its political leadership during the eighties of the last century. The destabilization of the B&H communist leadership was conducted from the power centers in Belgrade - primarily from the intellectual centers and through the media. The leadership of this republic is described as extremely repressive, and Bosnia and Herzegovina is the so-called dark province, in which intellectual creativity and any criticism of the system and government is prohibited. At that time, Yugoslavia was in an extremely unfavorable economic position, but in the Serbian media, BiH was presented as an exception compared to most other republics in the Federation. In addition, BiH was presented as a non-national republic, and there were frequent stereotypes and negative content about Muslims, who were the majority people of this republic. Numerous events were turned into affairs, which weakened the leadership and destroyed the Bosnian society.

The Bosnian and Bosniak writer Jasmina Musabegović (1941-2023) is known to the cultural public of Bosnia and Herzegovina for her novels, essays, and translations from the French language. It is less known, however, that a small collection of lullabies in the Bosnian language is also attributed to Musabegović's research and writing work. The aforementioned collection was published by BZK „Preporod“(Bosniaks' Cultural Society „Preporod“) in 1997 in Sarajevo, with the editorial supervision of literary historian and folklorist Munib Maglajlić. In this paper, the aforementioned collection of writer Jasmina Musabegović will be presented through a thematic analysis of selected poems on a literary-poetic level, and then it will go into the broader context of the overall work of the collected folk lullabies among the Bosniaks so far. The most frequent themes and motifs also will be reviewed within the entire corpus related to that material. With this approach, we tried to draw attention to Musabegović's cultural contribution, which, apart from her literary work, was also reflected in her collection of folk wisdom.

Background: Sudden cardiac arrest is the third leading cause of death in Europe. A significant number of out-of-hospital sudden cardiac arrests are associated with acute myocardial infarction. Cardiac arrest is a complication of an acute myocardial infarction caused by malignant rhythm disorder, in most cases ventricular tachycardia or ventricular fibrillation. They result in sudden death in 25%-50% of patients with prior acute myocardial infarction. Sudden cardiac arrest in these patients occurs during the first hours after the onset of symptoms.  Aim: show from the total number of out-of-hospital reanimations in the given period in canton Sarajevo the number of successful reanimations (return of spontaneous circulation – ROSC) and the number of successful reanimations in patients that went in to sudden cardiac arrest with prior acute myocardial infarction. Show the out-of-hospital management of these patients. Material and Methods: retrospective descriptive study that includes all out-of-hospital sudden cardiac arrest in the period from 1 January 2019 to the 31 December 2021 in canton Sarajevo that are associated with acute myocardial infarction in which there was the return of spontaneous circulation (ROSC). All patients from above-mentioned period were included in the study, without exclusion criteria related to their age, gender. Data was extracted from data registry of the Centre for education of the Emergency Medical Center of canton Sarajevo. Conclusion: Acute myocardial infarction still stays associated with a high level of mortality and represents one of the leading public health problems. Despite all advances in the field of diagnostics and treatment of patients with AMI that resulted in significant reduction of mortality in time. 

Introduction: Emergency medicine is a dynamic specialty that offers various medical cases and situations. Emergency medicine doctors treat patients from all age groups and with a large spectrum of physical and mental disorders. Emergency medicine is the specialty of treating illnesses or injuries requiring immediate medical attention. Emergency medicine doctors assess and treat patients in the emergency department, regardless of their illness or injury type. Their main focus is to stabilize patients as quickly as possible and determine the best next step in treating many patients simultaneously, with life-threatening conditions being the main priority. Emergency physicians treat all medical conditions of all age groups, such as cardiology, neurological, pulmonological, nephrological, endocrinological, hematological, gastrointestinal, orthopedic, gynecological-obstetrical, dermatological, psychiatric, traumatological, and accidental conditions.  Efforts should be made to reduce the accumulation of ED with a solid organizational culture; rather than adopting “generic” approaches, interventions should be selected and implemented to address the unique challenges of each hospital ED. Emergency medicine can potentially improve patient care and outcomes; however, establishing evidence-based protocols and a multidisciplinary approach to patient management are essential. Creating long-term health policies to regulate the referral system through the national plan and document would regulate the three levels of health care to stop the overcrowding of the hospital's ED.  

Lumbar disc herniation (LDH) often results in significant pain and disability, and histopathologic (HP) evaluation of intervertebral discs (IVDs) offers critical insights into treatment outcomes. This prospective observational study explores HP changes in IVDs and their association with clinical outcomes following surgical treatment for LDH. A cohort of 141 patients undergoing MRI-confirmed LDH surgery underwent HP evaluation using a semi-quantitative HP degeneration score (HDS). Preoperatively and at a six-month follow-up, the comprehensive clinical assessment included the Oswestry disability index (ODI) and visual analog scale (VAS), with a minimal clinically important difference (MCID) calculated from ODI and VAS. Results indicated significant associations between higher HDS and adverse clinical outcomes, including persistent pain and greater disability post-surgery. Specifically, an HDS ≥ 7 was predictive (OR ═ 6.25, 95% CI: 2.56–15.23) of disability outcomes measured with MCID-ODI (AUC: 0.692, 95% CI: 0.609–0.767, P < 0.001), and HDS ≥ 8 was predictive (OR ═ 1.72, 95% CI: 1.04–2.77) of persistent pain measured with MCID-VAS (AUC ═ 0.628, 95% CI: 0.598–0.737, P ═ 0.008), highlighting the diagnostic potential of HDS in assessing postoperative recovery. This study underscores the potential of HP evaluation using HDS to provide valuable insights into disease progression and outcomes in LDH patients, complementing conventional radiologic methods. The findings support the application of personalized treatment strategies based on HP findings while acknowledging challenges in interpretation and clinical implementation.

Application-specific quantum computers offer the most efficient means to tackle problems intractable by classical computers. Realizing these architectures necessitates a deep understanding of quantum circuit properties and their relationship to execution outcomes on quantum devices. Our study aims to perform for the first time a rigorous examination of quantum circuits by introducing graph theory-based metrics extracted from their qubit interaction graph and gate dependency graph (GDG) alongside conventional parameters describing the circuit itself. This methodology facilitates a comprehensive analysis and clustering of quantum circuits. Furthermore, it uncovers a connection between parameters rooted in both qubit interaction and GDGs, and the performance metrics for quantum circuit mapping, across a range of established quantum device and mapping configurations. Among the various device configurations, we particularly emphasize modular (i.e. multi-core) quantum computing architectures due to their high potential as a viable solution for quantum device scalability. This thorough analysis will help us to: i) identify key attributes of quantum circuits that affect the quantum circuit mapping performance metrics; ii) predict the performance on a specific chip for similar circuit structures; iii) determine preferable combinations of mapping techniques and hardware setups for specific circuits; and iv) define representative benchmark sets by clustering similarly structured circuits.

The European Committee for Future Accelerators (ECFA) Early-Career Researcher (ECR) panel, which represents the interests of the ECR community to ECFA, presents in this document its initiatives and activities in the year 2023. This report summarises the process of the first big turnover in the panel composition at the start of 2023 and reports on the activities of the active working groups - either pursued from before or newly established. The overarching goal of the ECFA-ECR panel is to better understand and support the diverse interests of early-career researchers in the ECFA community and beyond.

This study explores the development prospects of tourism in predominantly industrial small-sized cities (SSCs), focusing on the integration of tourism into urban planning and sustainable practices. Using structural equation modeling (SEM) to analyze survey data from SSCs in Serbia and Russia, the research identifies key factors contributing to urban tourism sustainability. The analysis reveals the significant roles of environmental, economic, social, and cultural indicators in promoting sustainable urban tourism. The importance of inclusive development and community engagement is also highlighted, underscoring their impact on sustainability. The findings offer theoretical insights and practical recommendations for effectively incorporating tourism into urban planning to achieve comprehensive sustainability in SSCs.

Artificial intelligence tools significantly impact almost all domains of industry and science, including public relations. The rapid development and accessibility of large language and vision models have facilitated the relatively easy implementation of great tools. This accessibility has made it relatively simple to integrate powerful tools into various workflows, revolutionizing practices in fields like public relations. These tools enable public relations practitioners to devote more time to creative work by quickly solving time-consuming, repetitive tasks using AI tools. This paper has identified 16 AI tools tailored for PR and content creation that can improve efficiency and simplify their work processes. By leveraging AI’s capacity to analyse vast amounts of data, PR professionals can gain insights into audience behaviour and media trends, enabling more targeted and effective communication strategies. This paper explores the transformative potential of AI in public relations, highlighting how these tools are reshaping the landscape of communication, engagement, and content creation.

The aim of this work is to optimize the sensor positions of a sensor–actuator measurement system for identifying local variations in the magnetic permeability of cut steel sheets. Before solving the actual identification problem, i.e., finding the material distribution, the sensor placement of the measurement setup should be improved in order to reduce the uncertainty of the identification of the material distribution. The Fisher information matrix (FIM), which allows one to quantify the amount of information that the measurements carry about the unknown parameters, is used as the main metric for the objective function of this design optimization. The forward problem is solved by the finite element method. The results show that the proposed method is able to find optimal sensor positions as well as the minimum number of sensors to achieve a desired maximum parameter uncertainty.

Through resilience theory, this paper explores the integration and alignment of the United Nations sustainable development goals (SDGs) within Kosovo's National Development Strategy (NDS). It highlights how adaptability and strategic planning underpin sustainable development in emerging national contexts like Kosovo, offering a qualitative analysis to identify gaps and suggest improvements for SDG integration. Utilizing a qualitative analysis, this study identifies gaps and provides recommendations for better SDG integration within Kosovo's national development agenda. Data analysis involves the thematic coding of qualitative data and synthesis of case study findings by examining existing documents, strategies, and plans as manifestations of Kosovo's commitment to fostering resilience and achieving a sustainable future. Key insights include recommendations for enhancing governance, environmental protection mechanisms, and social inclusivity to achieve resilient and sustainable economic growth. The study contributes to the discourse on resilience theory in national sustainable development strategies amidst political uncertainty.