University of Zenica

Inflammation-driven mechanisms play a central role in adverse outcomes after non-ST-elevation myocardial infarction (NSTEMI), yet simple, widely available biomarkers for early risk stratification remain insufficiently defined. Hemogram-derived indices and iron-related inflammatory markers may provide complementary prognostic information. To evaluate the prognostic significance of the mean platelet volume-to-monocyte ratio (MMR) and serum ferritin in predicting major adverse cardiovascular events (MACE) in patients with NSTEMI, and to assess the association of angiotensin-converting enzyme (ACE) inhibitor therapy with clinical outcomes. This prospective cohort study included 170 consecutive NSTEMI patients admitted to the University Clinical Center Tuzla between February 2022 and January 2023. All patients received dual antiplatelet therapy and high-intensity statins. The baseline evaluation included a complete blood count, serum ferritin, and C-reactive protein. MMR was calculated as the ratio of mean platelet volume to absolute monocyte count. Patients were followed for 12 months for the occurrence of MACE, defined as cardiovascular death, non-fatal myocardial infarction, urgent revascularization, stroke, or hospitalization for heart failure. During follow-up, 103 patients (60.6%) experienced MACE. Admission MMR (18.1 ± 11.7 vs 13.2 ± 5.5; P = 0.003) and ferritin levels (284 ± 396 vs 152 ± 109 µg/L; P = 0.001) were significantly higher in patients with events. In multivariable analysis, both MMR (odds ratio [OR] 1.06, 95% confidence interval [CI] 1.02-1.11; P = 0.008) and ferritin (OR 1.28 per 100 µg/L, 95% CI 1.10-1.55; P = 0.003) independently predicted MACE, while ACE inhibitor therapy was associated with a lower risk (OR 0.24, 95% CI 0.08-0.70; P = 0.01). The combined model demonstrated good discriminative performance (AUC 0.72; 95% CI 0.64-0.80). Elevated admission MMR and ferritin were independently associated with a higher 1-year risk of MACE in patients with NSTEMI. ACE inhibitor therapy was associated with improved outcomes, although causality cannot be inferred. These findings suggest that readily available inflammatory biomarkers may complement established clinical parameters for early risk stratification and support continued guideline-directed pharmacotherapy in NSTEMI.

<p><em>Sejjid Kutb čuveni je islamski učenjak i vizionar, posebno poznat po životnom djelu ''U okrilju Kur’ana''. U tom čuvenom tefsirskom djelu on iznosi svoj stav prema fikhu i spominje pojmove koji do tada nisu bili poznati, kao što su: fikhu-l-hareke –dinamički fikh i  fikhu-l-evrak – fikh na papiru (zapisani fikh), tj. statični fikh. Kutb smatra da se kur'anski tekst ne može shvatiti u vakumu, nego u dinamičnom odnosu – u  djelovanju, akciji i aktivizmu. </em></p> <p><em>Primarni cilj rada je da se objasni značenje izraza (sintagmi) fikhu-l-hareke –dinamički fikh i  fikhu-l-evrak-fikh na papiru (zapisani fikh), navedu kritike koje su upućene u vezi sa šerijatskim pravom i odgovori na spomenute kritike. Na osnovu relevantnih podataka može se zaključiti da su optužbe upućene Kutbu u vezi s razumijevanjem islamskog prava preoštre i tendenciozne, te da rezultat nedovoljnog poznavanja okolnosti i prilika u kojima su pisana njegova djela.</em></p>

Collision detection and avoidance are crucial for safe and efficient robotic manipulation.This paper presents an affordable collision detection system for a 3Dprinted robotic arm using a Kinect camera integrated with the Robot Operating System (ROS).The proposed approach enables real-time environment perception and collision-free trajectory generation.Experimental results show a significant improvement in collision avoidance efficiency, achieving a 40% reduction in path length while maintaining real-time performance.The computational overhead introduced by collision detection is minimal, with a 12 ms delay per frame, which can be optimized further.It is demonstrating the system's ability to effectively handle dynamic environments, such as human obstacles.This work highlights the potential of low-cost 3D sensing solutions for robotics applications, making them more accessible and scalable.

Uvod. Pojavom HIV epidemije u svijetu se javlja sve veća zabrinutost i strah zdravstvenih djelatnika zbog mogućeg inficiranja pri obavljanju profesionalnih djelatnosti. Svrha istraživanja je analizirati razinu znanja i stavove zdravstvenih djelatnika o HIV infekciji, korelaciju i njihov utjecaj na smanjenje stigme i diskriminacije. Metode. Prospektivno istraživanje urađeno je dragovoljnim i anonimnim anketiranjem djelatnika tri odjela Županijske bolnice Zenica, tijekom 2024. Stavovi su ispitani pomoću modificirane Likertove ljestvice s tri ponuđena odgovora. Statistička analiza urađena je korištenjem hi-kvadrat testa (p <0.05). Za određivanje koeficijenta korelacije varijabli znanje i stavovi koristio se Pearsonov koeficijent korelacije. Rezultati. U istraživanju je sudjelovalo 120 djelatnika, 59.2% ženskih. Prosječna starost ispitanika je 35 godina. Prema zanimanju je najviše medicinskih sestara (74.1%). Prosječna duljina radnog staža je 11 godina. Većina djelatnika nije imala HIV edukaciju i smatraju da im je potrebna (p <0.05). Uprkos relativno dobrom znanju o HIV-u (p <0.05) postoji prisustvo nekih stigmatizirajućih stavova. Korelacija znanja i stavova (0.136) otkriva kompleksnu sliku u kojoj samo posjedovanje znanja nije dovoljno za oblikovanje pozitivnih stavova (p >0.05). Zaključak. Kontinuirana edukacija zdravstvenih djelatnika mora ići dalje od jednostavnog prijenosa informacija. Potrebno je oblikovanje stavova kroz senzibilizaciju, razvoj empatije i profesionalne etike.

<p>In times of rapid technological development and environmental challenges, it is important to find sustainable solutions that combine advanced technologies with the principle of environmental protection. The research motives are created by the need to reduce negative environmental phenomena through the integration of smart telecommunication and sensor networks with energy-efficient devices and sustainable biochemical processes. The goal is to develop a system that enables monitoring of energy consumption, gas emission control and waste treatment process in real time. The results show a significant reduction in energy consumption and harmful gas emissions together with increased efficiency. The significance of<br />the results is reflected in the contribution to the development of smart and sustainable functions that connect technology and ecology, which creates the basis for a green transition.</p>

Introduction: Hermeneutics, as a theory of interpretation, plays a significant role in criminal law by providing a framework for understanding legal norms within their socio-political and historical contexts. Given the necessity for precision and clarity in criminal law, hermeneutical approaches help resolve ambiguities and reconcile conflicts between statutory provisions, judicial practice, and moral principles. Aim: The aim of this paper is to demonstrate the significance of hermeneutics as a methodological tool in interpreting criminal law norms and to highlight its contribution to the development of contemporary legal doctrine and practice. Materials and Methods: The paper applies the hermeneutical method of analysis, as well as comparative-legal and normative methods, relying on relevant case law and modern theoretical approaches in criminal law and legal philosophy. Results: The analysis shows that hermeneutical approaches enable a dynamic understanding and application of criminal law norms, contributing to greater coherence between statutory texts, judicial decisions, and moral principles. In doing so, hermeneutics becomes a key factor in resolving legal dilemmas and ensuring the fair application of law. Conclusion: Hermeneutics represents an indispensable methodological framework for understanding and applying criminal law. It allows legal norms to be interpreted in accordance with contemporary social values, thereby contributing to the development of legal science and practice as a whole.

Aim: This study aims to investigate the influence of elevated preovulatory progesterone (P4) on the outcome of in vitro fertilization (IVF).Materials and methods: This was a prospective cohort study conducted at the Clinic for Women's Diseases and Childbirth in Petrova, Zagreb, Croatia, in the period 2015-2017, which included a total number of 400 patients (300 in the control group and 100 in the group with elevated preovulatory P4). The study group was furthermore divided into normal responders (85 patients) and high responders (15 patients). The IVF outcome among patients with normal preovulatory P4 as compared to the patients with elevated preovulatory P4, the IVF outcome among normal and high responders, the influence of the embryo transfer type - blastocyst embryo transfer (BET) or frozen/thawed embryo transfer (FET) - among patients with elevated preovulatory P4 on the outcome of IVF procedures has been investigated in this study.Results: Positive IVF outcome has been recorded in about one third of all the performed procedures in the control and the study group (P=0.762 for the conception rate and P=0.245 for the clinical pregnancy rate), with slightly better outcome with elevated preovulatory P4. A better outcome with FET has been observed among normal responders (P=0.019), and a slightly better outcome with BET has been noted among high responders (P=0.622).Conclusion: Elevated preovulatory P4 has a slightly protective effect on IVF outcome, while the P4 on the fifth day >425.7 nmol/L could be a potential marker for the success of the IVF procedures among all the patients, and with P4 on the fifth day >384.6 nmol/L among patients with elevated preovulatory P4.

<p>This paper offers a comprehensive review of how cloud computing is  reshaping remote engineering, detailing adoption strategies, service models (IaaS, PaaS, SaaS) and concrete applications in CAD/CAM/CAE and ECAD domains. Best-practice cases demonstrate that distributed teams can shorten product-development cycles by 25%[5] via centralised <br />collaborative platforms. Particular focus is given to cyber-security  challenges, cost-optimisation patterns and the role of artificial intelligence in autonomous resource orchestration. The aim of this paper is to systematize existing knowledge, provide a comprehensive overview of tools and practices, and offer guidance for companies in Southeast Europe. </p>