Introduction : Drug–drug interactions (DDIs) influence treatment outcomes, particularly in complex diseases such as coronavirus disease 2019 (COVID-19). This study aimed to evaluate the impact of DDIs in COVID-19 patients. Materials and methods : A study was conducted on 200 patients with mild, moderate, or severe COVID-19 infections. Next, DDIs were classified into five risk categories (A–X). Results : Altogether, 1689 DDIs were identified (maximum of 64 per patient). Most interactions were category C (65.3%). Clinically significant DDIs (C–X) accounted for 73.6% of interactions. Positive correlations were found between the total number of DDIs and both the total number of drugs (very strong) and comorbidities/diagnoses (strong). Patients with severe COVID-19 infections had significantly more DDIs and drugs used. Polypharmacy was highly frequent (97.5%, average of 9.9 drugs per patient). Conclusion : Overall, COVID-19 patients often have clinically significant DDIs resulting from polypharmacy and comorbidities, especially in severe cases. Systematic DDI assessment is essential.

Cadmium is recognized as one of the most hazardous heavy metals, ranking among the top ten in terms of toxicity. With the growing industrial reliance on cadmium for various manufacturing processes, concerns have risen within the scientific community regarding its presence in wastewater and the challenges associated with its removal. This research investigates the potential for removing Cd(II) ions from a synthetic aqueous solution by utilizing NaHCO3as a precipitating agent. The removal efficiency exceeded 99%, with the most effective conditions identified as: pH 8, a stirring speed of 300 rpm, a stirring duration of 5 minutes, and a precipitation agent of 90 mg. Additionally, removal efficiencies of 96.256% and 91.234% were achieved at cadmium concentrations of 150 mg/L and 300 mg/L, respectively. The removal of Cd(II) ions was found to be more efficient in a mixture of metals, with an efficiency above 98%, compared to when individual metals were considered in isolation.KEYWORDS:Cd(II) ions, most effective conditions, removal efficiency

The paper deals with the assessment of risks related to drinkingwater quality, the analysis of physicochemical and microbiological parameters that are key to assessing human safety and health. Through a detailed analysis of these parameters, the paper investigates whether the appropriate physicochemical and microbiological parameters are within the framework defined by the regulation, and whether they may pose a threat to human health.Physicochemical parameters include aspects such as pH values, electrical conductivity, oxidizability, concentrations of various chemical compounds (such as nitrates, nitrites, ammonia, chlorides, heavy metals, etc.) and represent the degree of pollution bychemicals that may pose a threat to human health, while microbiological parameters relate to the presence of pathogenic bacteria, viruses and parasites that can cause various diseases in humans.The paper uses data from laboratory analyses of water samples monitored at 32 locations in the Tuzla Canton during two seasons. Through this assessment, the paper highlights the importance of regular monitoring of drinking water quality, as well as the implementation of adequate measures to prevent potential health hazards for users.KEYWORDS:public water fountains, physical-chemical analysis, microbiological analysis

Soda is a key raw material widely used in various industries, including food, pharmaceuticals, detergents, and glass production. At the "Sisecam Soda Lukavac" plant, soda is produced using the Solvay process, which relies on an aqueous solution of sodium chloride (NaCl) and calcium carbonate (CaCO₃). Due to the limited availability of global soda sources, efforts are being made to increase production capacity. However, higher production requires greater amounts of industrial water, resulting in increased consumption of fresh water from the Modrac reservoir. To reduce this consumption and minimize environmental impact, this study investigates the reuse of the waste condensate stream from the slaking drums as the aqueous solution of calcium hydroxide (lime milk) through the installation of a barometric condenser operating on the principle of direct contact between the cooling medium and steam. A barometric condenser was proposed for recovering approximately 8339.3 kg/h of steam, which would reduce water consumption by 7.58% and thermal energy losses by 29.3 %, with a payback period of less than six years. Reusing this waste condensate stream is expected to achieve significant operational, ecological, and economic improvements. KEYWORDS:soda production, waste stream, condensate, water, reuse

Cornus mas L. is traditionally used for various medicinal purposes, although systematic data on its pharmacognostic properties are still limited. Considerable variation was observed among plant organs, so phenolic and flavonoid content varied by plant part, with location-related differences among samples, with the highest in leaf and fruit from Bijeljina and the lowest in leaf from Sarajevo. Antioxidant activity was much better in leaf and bark than in fruit. Extracts inhibited ESBL-producing Escherichia coli, with MICs mainly at 125 µg/mL; bark extract (Tuzla) showed 250 µg/mL and reduced biofilm formation. Leaf and bark extracts showed dose-dependent cytotoxicity against PC-9, MCF-7, and MDA-MB-231 cells, while fruit extracts were weaker. In human lymphocytes, bark (Bileća) and leaf (Tuzla) extracts decreased nuclear division and induced micronuclei at 200 µg/mL. Molecular docking indicated strong bacterial target binding for loganin and cornuside, supporting the antibacterial and antitumor potential of C. mas.

Extant literature captures the benefits and risks concerning young adults’ use of digital technologies and platforms, but it does not unilaterally recognize the drivers of problematic digital behavior. Those drivers might differ across dimensions of young adults’ digital lives, their socioeconomic backgrounds, and other demographic determinants. In this study, we analyze the determinants of addictive digital behavior of economics and business students from a Southeast European (SEE) sample of 372 participants. We measure digital addictive behavior regarding Internet use, with a focus on mobile phones, using established psychological scales. Our results show that age is generally associated with lower problematic digital behavior (significant in the full sample), while female students report higher PRIUSS-3 scores than male students. Higher ICT proficiency is associated with lower PRIUSS-3 and MPPUS-10 scores. Daily screen time is associated with higher MPPUS-10 scores, but it does not significantly predict PRIUSS-3 in the multivariable model. The empirical results can be used to frame the higher education policies and targeted interventions in the SEE region.

Introduction: Type 2 diabetes mellitus (T2DM) is associated with a high burden of complications, most of which first present to primary care.Objective: To assess the prevalence and predictors of diabetes-related complications among patients seeking primary health care.Methods: This retrospective study analysed records of 1000 patients with T2DM in primary care. Demographic, clinical, and therapeutic variables were examined, and multivariate logistic regression was used to identify independent predictors of complications.Results: Majority of the patients (58.3%) had at least one complication. Neuropathy (41.8%), retinopathy (32.3%), and chronic coronary syndrome (CCS)(22.3%) were most frequent. Independent predictors for complications included older age, longer disease duration and higher HbA1c (p<0.001 for all). Neuropathy was significantly associated with female sex (p=0.016), while myocardial infarction and CCS showed significant association with male sex (p=0.027 and p=0.002 respectively). All complications were strongly associated with hospitalisations (all p<0.001), except for retinopathy. Family history independently predicted retinopathy (p=0.039) and CCS (p=0.014).Conclusion: Diabetes-related complications remain highly prevalent and are strongly linked to glycaemic control, disease duration, and age. Sex, and family history also shape complication patterns, while treatment modality reflects disease severity. These findings highlight the need for early, individualised management and implementation of guideline-based strategies to reduce complication burden and improve outcomes in frontline care.

Teaching quality is crucial for positive student outcomes, yet it can be limited by challenges in the classroom. In this study, we examine how teacher-reported limitations to teaching (e.g., student absenteeism, disruptive behavior, lack of engagement, language barriers) relate to student-reported teaching quality. We also explore whether teacher job satisfaction mediates this relationship. Using data from the Norwegian extension of the TIMSS 2019 Grade 9 student questionnaire, we assess three dimensions of teaching quality based on the three basic dimensions (TBD) framework. Results show that more frequent limitations to teaching are linked to lower student-reported quality. We find that more satisfied teachers deliver clearer instruction and achieve better classroom management. However, we find no evidence that limitations to teaching are associated with lower job satisfaction, nor that job satisfaction mediates the relationship between limitations and teaching quality. We discuss implications for teacher education and educational policymaking.

This paper presents a comparative analysis of the settlement of the Kobilja Glava tunnel structure, using three-dimensional numerical modeling and geodetic monitoring during construction. The numerical model, developed in the Plaxis 3D software package, included all excavation and support phases, with rock mass parameters defined based on RMR classification and conversion of Hoek-Brown parameters into the Mohr-Coulomb form. The primary lining was modeled using plate elements, while anchors were represented as embedded elements with equivalent elastic modulus.Geodetic measurements were carried out continuously, with measurement points positioned at the tunnel crown, sidewalls, and the bench, providing actual convergence values. Comparison between the numerical model results and geodetic measurements revealed discrepancies ranging from 18% to 24%, with the largest deviations recorded at a distance of 24 m from the excavation face. Statistical data analysis (RMSE ≈ 3.71 mm; σ ≈ 1.21 mm) confirmed the presence of a systematic prediction error, but also the stability of deviations across the analyzed points.The results confirm the technical validity of the applied model and the designed support system, while emphasizing the need for dynamic updating of numerical models in accordance with field data. This further reinforces the implementation of the observational method as a reliable approach under real tunneling conditions.

This article extends the analysis of Atkinson, Foley, and Ganz in"Beyond the Spoiler Effect: Can Ranked-Choice Voting Solve the Problem of Political Polarization?". Their work uses a one-dimensional spatial model based on survey data from the Cooperative Election Survey (CES) to examine how instant-runoff voting (IRV) and Condorcet methods promote candidate moderation. Their model assumes an idealized electoral environment in which all voters possess complete information regarding candidates'ideological positions, all voters provide complete preference rankings, etc. Under these assumptions, their results indicate that Condorcet methods tend to yield winners who are substantially more moderate than those produced by IRV. We construct new models based on CES data which take into account more realistic voter behavior, such as the presence of partial ballots. Our general finding is that under more realistic models the differences between Condorcet methods and IRV largely disappear, implying that in real-world settings the moderating effect of Condorcet methods may not be nearly as strong as what is suggested by more theoretical models.

This research assessed management strategies for overtourism in Zadar County. Overtourism has become apparent in both city and seaside destinations, affecting residents’ quality of life. This study defines overtourism as a challenge for urban management, emphasizing that exploring strategies to address overtourism also influences the management of sustainability and quality of life in urban areas. Here, a methodological framework was created with five strategies, each evaluated against seven criteria. The evaluation was carried out by the directors of the county’s tourist boards. Since these strategies have not yet been implemented, the directors had to rate them with some uncertainty, as they lacked complete information about the criteria and potential effects. To handle this uncertainty, the intuitionistic fuzzy set (IFS) approach was used. Additionally, the SiWeC method determined the importance of the criteria, and the TOPSIS method ranked the strategies. Results, based on ratings from 12 directors, indicated that Digital Support and Environmental Sustainability are the most important criteria. Strategy C, which aims to redirect tourists to lesser-known locations within the county, performed best, maintaining visitor numbers while helping preserve the region’s natural resources. This research has shown that strategies for managing overtourism help reduce the pressure tourists place on urban environments, thereby improving the quality of life and sustainable development of these environments.