The aim of this study was to determine the level of nutritional and morphological status among female students aged 19 to 21 at the University of Tuzla. A total of 752 participants were tested for the purposes of this research. The variable sample included fifteen variables used to assess nutritional and morphological characteristics. The selection of variables was based on the research problems posed and enabled the determination of the degree of nutritional and morphological characteristics.

This study analyzes the differences between groups within the domain of variables used to assess functional abilities in male students aged 20 to 22 at the University of Tuzla. For the purposes of this research, a total of 156 male students were tested. The sample of variables in this study includes two indicators for the assessment of functional abilities. The selection of variables was based on the research problem, aiming to identify relevant differences between groups within the domain of functional abilities. Data analysis was conducted using MANOVA, Multivariate Analysis of Variance.

Abstract Dietary acrylamide exposure potentially poses health risks, including increased cancer risk and neurotoxic effects. There is no official data on acrylamide levels in food products on the Bosnia and Herzegovina (B&H) market, making it challenging to assess the associated health risks. As a non-EU country, B&H lacks national regulations aligned with Commission Regulation (EU) 2017/2158, which establishes benchmark levels and mitigation measures for acrylamide. This study used GC-MS to assess acrylamide content in fifteen food products from the B&H market, categorised as potato crisps/sticks, biscuits/wafers, and coffee. Acrylamide levels in some potato crisps and sticks, tea rings, and plain biscuits exceeded benchmark values, while levels in butter biscuits, biscuits with inclusions, filling or coating, wafers, and instant coffee, remained within acceptable limits. The highest acrylamide level was in potato sticks (1048.3 μg/kg), and the lowest in butter biscuits (23.8 μg/kg). Potato crisps/sticks had the highest average acrylamide levels (677.5 μg/kg), followed by tea rings and plain biscuits (444.5 μg/kg). Potato-based snacks accounted for the highest estimated dietary acrylamide intake. Most products exceeding benchmark levels originated from B&H, suggesting local producers might not fully apply mitigation strategies. These findings emphasise the need for regulatory reform, regular market monitoring, and targeted mitigation efforts.

BACKGROUND Non-ST segment elevation myocardial infarction (NSTEMI) poses significant challenges in clinical management due to its diverse outcomes. Understanding the prognostic role of hematological parameters and derived ratios in NSTEMI patients could aid in risk stratification and improve patient care. AIM To evaluate the predictive value of hemogram-derived ratios for major adverse cardiovascular events (MACE) in NSTEMI patients, potentially improving clinical outcomes. METHODS A prospective, observational cohort study was conducted in 2021 at the Internal Medicine Clinic of the University Hospital in Tuzla, Bosnia and Herzegovina. The study included 170 patients with NSTEMI, who were divided into a group with MACE and a control group without MACE. Furthermore, the MACE group was subdivided into lethal and non-lethal groups for prognostic analysis. Alongside hematological parameters, an additional 13 hematological-derived ratios (HDRs) were monitored, and their prognostic role was investigated. RESULTS Hematological parameters did not significantly differ between non-ST segment elevation myocardial infarction (NSTEMI) patients with MACE and a control group at T1 and T2. However, significant disparities emerged in HDRs among NSTEMI patients with lethal and non-lethal outcomes post-MACE. Notably, neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were elevated in lethal outcomes. Furthermore, C-reactive protein-to-lymphocyte ratio (CRP/Ly) at T1 (> 4.737) demonstrated predictive value [odds ratio (OR): 3.690, P = 0.024]. Both NLR at T1 (> 4.076) and T2 (> 4.667) emerged as significant predictors, with NLR at T2 exhibiting the highest diagnostic performance, as indicated by an area under the curve of 0.811 (95%CI: 0.727-0.859) and OR of 4.915 (95%CI: 1.917-12.602, P = 0.001), emphasizing its important role as a prognostic marker. CONCLUSION This study highlights the significant prognostic value of hemogram-derived indexes in predicting MACE among NSTEMI patients. During follow-up, NLR, PLR, and CRP/Ly offer important insights into the inflammatory processes underlying cardiovascular events.

The Internet and digital platforms are often portrayed as public spaces, hosting both private conversations and discussions of public interest. Political campaigns are conducted and business transactions are also carried out there. This paper challenges this view by highlighting the differences between the Internet and traditional public places. Instead, it argues that the Internet increasingly resembles a mosaic of private domains controlled by a few powerful entities that dictate the flow of information. This paper examines the issue from the perspective of the benefits that public places provide in modern democratic societies and posits the debate within Habermas’s understanding of the public sphere, providing for differences in how public place is typically perceived regarding the Internet and especially digital platforms. Finally, it outlines the ongoing legislative debate in Bosnia and Herzegovina on this issue, with comparative insights from the legal frameworks of Serbia and Croatia.

Abstract This article serves as an introduction to the special issue of the Public Integrity Journal dedicated to strategic corruption. The authors introduce the concept of strategic corruption, understanding it as a conceptualization of the geostrategic dimensions of transnational corruption that aims to achieve subversion of the political and economic processes of a country. Before presenting each of the contributions to the special issue, the authors introduce the epistemic development and the interdisciplinary potential of the concept, delineating it from similar concepts of hybrid warfare, corrosive capital, and foreign interference. The authors recognize the limitations and the critique offered against such conceptualization, as well as the turnaround of U.S. foreign policy under the Trump administration that has sought to reverse the practical approaches underlying the measures to combat transnational corruption adopted under the 2021 U.S. Strategy on Countering Corruption. However, the authors advocate the view that the strategic approach to transnational corruption has been vindicated precisely by the measures that the Trump administration adopted in 2025; the dilution of the U.S. anti-corruption approach which may produce global ramifications. PLAIN LANGUAGE SUMMARY This article introduces a group of articles focused on “strategic corruption” in the journal Public Integrity. The authors explain that strategic corruption is when countries use corruption as a tool to influence or undermine the politics and economy of other countries, not just for personal gain but to achieve bigger national goals. This kind of corruption is often planned, long-term, and involves networks that cross borders. It can include things like bribing politicians, funding political movements, or using business deals to gain control over important resources in another country. The authors also discuss how the idea of strategic corruption is different from related terms like “hybrid warfare” or “foreign interference.” They point out that, while some people criticize this concept, it is useful for understanding how some governments use corruption as a weapon in international relations. The paper notes that U.S. policy on fighting corruption changed under President Trump. The Trump administration paused enforcement of some of the key anti-corruption laws, arguing that these laws hurt American businesses competing abroad. The authors argue that this shift could weaken global efforts to fight corruption and may have serious consequences for international security and democracy. In summary, the paper says that understanding and addressing strategic corruption is important because it is a growing threat to fair politics and global stability

We consider the optimal investment problem under sustainability requirements stated in [7], but solve it explicitly for the wider class of power utility functions. Further, we introduce a type of equilibrium framework that consists of modifications of the market coefficients such that the unconstrained optimal portfolio process will already satisfy the sustainability constraint. We call this modification sustainable taxation as it indicates possible taxation activities by the state to steer investors towards sustainable assets.

Obična lavanda (Lavandula angustifolia Miller) je niska, višegodišnja grmasta biljka koja raste u zemljama oko zapadnog Mediterana. Potekla je iz sunčanih stjenovitih područja i prvenstveno se uzgaja zbog svojih esencijalnih ulja. Različite studije pokazale su da određene vrste ljekovitih biljaka, kao što je L. angustifolia Miller, koje sadrže linalol i linalil acetat ester, imaju blagi sedativni učinak i koriste se u aromaterapiji i fitoterapiji za ublažavanje stresa. Svrha ove studije je utvrditi antioksidacijsku aktivnost uzoraka obične lavande. Uzorci biljnog materijala prikupljeni su sa sljedećih područja: Gubavica (općina Mostar) i Šehovina (grad Mostar). Pri tome su analizirana četiri uzorka: esencijalno ulje dobiveno hidrodestilacijom biljnog materijala (Gubavica), uzorak maceriran u etil acetatu (Šehovina), prikupljeni vodeni ostatak nakon hidrodestilacije (Gubavica) te komercijalno esencijalno ulje. Određivanje antioksidacijske aktivnosti uzoraka provedeno je s pomoću sljedećih metoda: DPPH, ABTS i FRAP. Hidrodestilirano esencijalno ulje, kao i komercijalno ulje, pokazali su slabiju antioksidacijsku aktivnost, što je potvrđeno svim korištenim metodama. Slabija antioksidacijska aktivnost također je zabilježena u analizi uzorka etil acetata. Praćenjem tijeka reakcije za navedene uzorke nije bilo moguće izračunati IC50 vrijednost. Vodeni ostatak nakon hidrodestilacije pokazao je najvišu antioksidacijsku aktivnost prema svim korištenim metodama, što je potvrđeno IC50 vrijednošću prema DPPH metodi, koja je bila 0,032 ± 0,006 mg/mL, dok je za ABTS metodu IC50 vrijednost bila 0,135 ± 0,003 mg/mL. Također, prema FRAP metodi, vodeni ostatak nakon hidrodestilacije pokazao je najbolju antioksidacijsku aktivnost (1099,45 ± 25,39 mg Evit. C/g ekstrakta). Usporedbom kemijskog sastava i antioksidacijske aktivnosti ispitivanih uzoraka može se zaključiti da su za antioksidacijsko djelovanje odgovorni fenolni spojevi koji su bili sadržani u vodenom ostatku nakon hidrodestilacije esencijalnog ulja, koji je i pokazao najbolju aktivnost, a da spojevi koji čine esencijalno ulje imaju neznatnu učinkovitost kad je u pitanju određivanje antioksidacijskog kapaciteta.

The ECFA Higgs, electroweak, and top Factory Study ran between 2021 and 2025 as a broad effort across the experimental and theoretical particle physics communities, bringing together participants from many different proposed future collider projects. Activities across three main working groups advanced the joint development of tools and analysis techniques, fostered new considerations of detector design and optimisation, and led to a new set of studies resulting in improved projected sensitivities across a wide physics programme. This report demonstrates the significant expansion in the state-of-the-art understanding of the physics potential of future e+e- Higgs, electroweak, and top factories, and has been submitted as input to the 2025 European Strategy for Particle Physics Update.

Poor solubility remains a critical barrier in the in vitro evaluation of phytochemicals, many of which are hydrophobic and difficult to dissolve in aqueous media. This review explores the physicochemical factors influencing phytochemical solubility, emphasizing the role of solvent properties such as polarity, proximity, and cytotoxicity. Commonly used solvents—including polar protic, polar aprotic, and non-polar solvents —are discussed concerning their solubilizing capacity and compatibility with biological systems. Solvent-induced changes in membrane dynamics and cytotoxic profiles are also examined, highlighting the need for cautious selection and optimization. Several advanced strategies to enhance solubility, such as co-solvent systems, pH modulation, nanocarrier encapsulation, surfactants, and deep eutectic solvents (DESs), are reviewed. A focused case study on curcumin illustrates how different solubilization methods can significantly improve in vitro performance. The review underscores the importance of standardized solvent reporting to ensure reproducibility and reliability in phytochemical research.

The ECFA Higgs, electroweak, and top Factory Study ran between 2021 and 2025 as a broad effort across the experimental and theoretical particle physics communities, bringing together participants from many different proposed future collider projects. Activities across three main working groups advanced the joint development of tools and analysis techniques, fostered new considerations of detector design and optimisation, and led to a new set of studies resulting in improved projected sensitivities across a wide physics programme. This report demonstrates the significant expansion in the state-of-the-art understanding of the physics potential of future e+e- Higgs, electroweak, and top factories, and has been submitted as input to the 2025 European Strategy for Particle Physics Update.

Context: Anomaly detection is crucial for maintaining cloud-based software systems, as it enables early identification and resolution of unexpected failures. Given rapid and significant advances in the anomaly detection domain and the complexity of its industrial implementation, an overview of techniques that utilize real-world operational data is needed. Aim: This study aims to complement existing research with an extensive catalog of the techniques and monitoring data used for detecting anomalies affecting the performance or reliability of cloud-based software systems that have been developed and/or evaluated in a real-world context. Method: We perform a systematic mapping study to examine the literature on anomaly detection in cloud-based systems, particularly focusing on the usage of real-world monitoring data, with the aim of identifying key data categories, tools, data preprocessing, and anomaly detection techniques. Results: Based on a review of 104 papers, we categorize monitoring data by structure, types, and origins and the tools used for data collection and processing. We offer a comprehensive overview of data preprocessing and anomaly detection techniques mapped to different data categories. Our findings highlight practical challenges and considerations in applying these techniques in real-world cloud environments. Conclusion: The findings help practitioners and researchers identify relevant data categories and select appropriate data preprocessing and anomaly detection techniques for their specific operational environments, which is important for improving the reliability and performance of cloud-based systems.

Radio frequency fingerprinting (RFF) presents a promising solution for advancing specific emitter identification (SEI) methods, which are crucial for securing the Internet of Things (IoT). While deep learning (DL)-based SEI approaches have demonstrated strong potential, they heavily depend on large, labeled datasets, which are often difficult to obtain in real-world scenarios. This reliance limits the robustness of existing SEI methods. To overcome this challenge, we propose a robust few-shot SEI (FS-SEI) method leveraging multi-view feature fusion with attention (MFFA). By integrating interpretable signal processing (SP) features with DL features and incorporating an attention mechanism for adaptive multi-view fusion, the proposed approach enhances both identification accuracy and robustness in few-shot scenarios. Experimental results validate the effectiveness of the method, showing consistent robustness under noisy conditions and significant gains in identification accuracy. These findings highlight its strong potential for practical applications in dynamic and challenging environments.