Electron beam radiotherapy is a teletherapy technique utilizing megavoltage electron beams produced by a linear accelerator. These electrons interact with tissue, reaching their maximum dose at shallow depths and rapidly decreasing beyond the target area, minimizing radiation exposure to distal tissues and organs. The clinical application of high-energy electron beams (up to 20 MeV) allows for effective treatment of superficial tumors while preserving deeper healthy tissues. Due to these advantages, electron beam therapy plays a crucial role in both human and veterinary oncology. In veterinary oncology, radiotherapy has become an essential modality for tumor treatment, with two primary techniques: teletherapy and brachytherapy. Teletherapy, including electron beam radiation, is the most commonly used approach in veterinary radiotherapy, offering significant advantages in treating superficial tumors while minimizing radiation exposure to surrounding healthy tissues. Recent studies highlight the growing role of electron beam therapy in the management of tumors in dogs and cats, particularly for oral tumors, soft tissue sarcomas, mast cell tumors, nasal carcinomas, and brain tumors. Additionally, hypofractionated radiation protocols (8–10 Gy per fraction, with total doses of 16–30 Gy) have been explored for palliative treatment in companion animals with short life expectancy, where the risk of late radiation side effects is low. This technique provides symptom relief and improves the quality of life for affected animals. Despite advancements in veterinary radiotherapy, treatment outcomes depend on factors such as total radiation dose, fractionation schedule, and tumor type. While electron beam radiotherapy has demonstrated efficacy in various oncological applications, further studies are needed to optimize treatment protocols and enhance long-term tumor control while minimizing adverse effects.
Cytokines are polypeptides or glycopeptides involved in intercellular communication, functioning as key mediators alongside hormones and neurotransmitters. Acting through specific receptors, cytokines regulate gene activation, influencing cellular function and phenotype. Their activity is modulated by inhibitors that control biological effects and cellular responses. Classified based on function, cytokines include growth factors, proinflammatory cytokines, and anti-inflammatory cytokines. Proinflammatory cytokines such as TNF-α, IL-1β, and IL-6 play a crucial role in inflammation, mediating immune responses, fever, and metabolic changes. They induce leukocyte activation, protein catabolism, and alterations in endocrine function, contributing to immune regulation and systemic effects. Additionally, cytokines influence metabolism by modulating nutrient absorption, energy balance, and acute-phase protein synthesis. This review highlights the fundamental properties, classification, and biological effects of cytokines, emphasizing their central role in immune function, metabolism, and inflammation. Understanding cytokine interactions is essential for developing therapeutic strategies targeting immune and inflammatory disorders.
The efficient functioning of the repo market and repo operations is of essential importance for the financial stability and monetary policy of the country, but on the other hand, excessive use of the repo market can affect the increase of systemic risk, which was demonstrated during the recent financial crisis. The main goal of this research is to investigate the scientific and professional literature in the field of repo transactions, and to analyze the development of repo transactions on the EU market, as well as the current level of development of repo transactions on the financial market in Bosnia and Herzegovina and the stability of repo transactions for commercial banks and other participants in order to maintain liquidity on the repo market.
Project management is one of the most challenging jobs in any organization, as it requires a broad understanding of the various areas that must be coordinated. Over the past few decades, a number of studies have emerged on the correlation between project managers’ and project teams members’ competencies and project success. To improve project success, the organizations have to consider various skills such as communication (internal and external), effective control and monitoring, effective planning, ability to manage risk, etc, and their significance and the role in the project success. The aim of this paper is to use Interpretative Structural Modelling (ISM) and MICMAC analysis in order to analyze contextual interrelationships among the identified skills, divided into clusters, to develop structural relationship among these skills and to classify factors based on their driver and dependence power and their mutual relationships.
This paper analyzes possible approaches and directions for the subsequent alignment of the legal framework for consumer protection in Bosnia and Herzegovina with EU acquis after the adoption of the Consumer Protection Law of BiH in 2006, in which most of the implemented directives have undergone significant changes to date, with some even being repealed with the adoption of entirely new consumer directives aimed at modernizing the existing structures of EU secondary consumer law. The chronic inconsistency of consumer law in Bosnia and Herzegovina, compared to the EU’s secondary consumer law, negatively affects the current level of protection for the rights and obligations of consumers and traders in consumer contracts within the single economic area of Bosnia and Herzegovina. In this context, the trade of goods with a digital element and digital services in the EU’s single digital market requires completely different approaches to the affirmation and development of Bosnia and Herzegovina’s digital market, with the aim of ensuring a high and unified level of consumer protection, as well as creating a legal and institutional infrastructure that will enable more effective implementation of consumer policies and the use of entirely new legal instruments in resolving consumer disputes.“ The objectives of this study are focused on analyzing the current legal framework for consumer protection in BiH, which needs to be amended and aligned with EU secondary consumer law through the implementation of newly adopted consumer directives. These directives introduce entirely new legal concepts, methods of contract formation, types of consumer contracts, and ways to protect consumer rights, which also implies presenting appropriate proposals for legislative interventions and improving the existing legal framework for consumer protection in the BiH market, and its further alignment with the EU acquis in fulfilling the obligations arising from the Stabilization and Association Agreement between BiH and the EU.
The objectives of this study are focused on a comparative legal analysis of the importance of achieving consistency between the legal, tax and accounting qualifications of financial leasing transactions within the economic and legal system of Bosnia and Herzegovina (B&H), as well as offering an assessment of the potential of transposing different economic-legal concepts and the development of relevant practices based on examples from Germany, England, and the USA. The issue of congruence between civil law and tax qualifications of financial leasing transactions presents a significant challenge in providing consistent answers for national economic systems, both of continental and common law traditions. Furthermore, the civil law qualifications of financial leasing transactions in B&H are not complementary with the qualifications adopted in national and relevant international accounting standards (IAS 17 and FASB 13). Some national accounting frameworks do not recognize leasing capitalization criteria at all, while others wrongly classify most leasing transactions under the treatment for operating leases. This opens up broad opportunities for the development of undesirable practices, such as the disappearance of financial leasing assets from the lessee’s balance sheet, as well as the duplication of leasing assets in the balance sheets of both the lessor and the lessee. The answers to the questions raised in this paper are of multiple importance for achieving a more creative development of the leasing industry in B&H and formulating appropriate proposals for improvements based on the results of the comparative legal analysis of the reference examples from Germany, England and the USA.
(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.
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.
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.
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