BACKGROUND Aneurysms, characterized by localized dilatation involving all three layers of the vascular wall, pose significant risks, with abdominal aortic aneurysm (AAA) being prevalent, particularly among the elderly. However, the cooccurrence of AAA with abdominal tortuous aorta (ATA) remains exceptionally rare. CASE REPORT We present the case of a 63-year-old male with an AAA extending into the iliac arteries, accompanied by ATA. Computed tomography revealed complex structural abnormalities, necessitating immediate surgical intervention. Due to the anatomical complexities, endovascular repair was not feasible, leading to a successful aortobifemoral bypass surgery using the Piljic method. The patient recovered well postoperatively, highlighting the efficacy of the chosen approach. CONCLUSION While AAA is often treated with endovascular repair, ATA complicates this approach, underscoring the need for open surgery in such cases. Research on aortic tortuosity's role in rupture prediction and stress alleviation shows varied findings, necessitating additional studies. ATA may also hinder vascular catheter insertion, requiring alternative routes for interventions. Future research is imperative to develop tailored treatment strategies for patients with concurrent AAA and ATA, ensuring optimal outcomes.

Introduction The COVID-19 pandemic has significantly impacted general medical practice by altering work structures and increasing teamwork while also adversely affecting the mental health of general practitioners and family medicine specialists. This study assesses depression, anxiety, and fear levels among general practitioners and family medicine specialists in Europe 2 years after the COVID-19 pandemic’s onset, and it explores influencing factors. Methods This observational cross-sectional study included participants from 13 European countries. Data was collected from May to August 2022 with an anonymous online survey incorporating validated questionnaires for depression (PHQ-9), anxiety (GAD-7), and fear of COVID-19 (FCV-19S). Data analysis involved descriptive statistics, correlation tests, and linear regression. Results A total of 1,723 participants completed the survey. Findings indicated an overall mild to moderate levels of anxiety (GAD-7: 5.4 ± 4.76) and depression (PHQ-9: 6.33 ± 5.43), and moderate fear of COVID-19 (FCV-19: 12.84 ± 5.29). Key determinants of anxiety, fear, and depression included country, at-risk status, patient non-compliance, and mental health history. Sex influenced anxiety and fear, losing co-workers to COVID-19 influenced anxiety and depression, while losing relatives or friends influenced fear. Conclusion Two years into the pandemic, European general practitioners and family medicine specialists showed mild to moderate levels of anxiety, depression, and fear. Country, at-risk status, mental health history, and work-related challenges significantly affected mental health. Crucial interventions are needed to support healthcare workers during pandemics, focusing on protective measures, stable work environments, and coping strategies for anxiety and depression.

Purpose This study aims to investigate the dual impact of anger on decision-making, addressing the gap in understanding its paradoxical nature in entrepreneurial contexts. Design/methodology/approach Using an integrative approach, this study synthesises insights from the appraisal theory of emotion, affect infusion model, emotional intelligence framework, broaden-and-build theory and resource-based view to provide a comprehensive review and analysis of entrepreneurial anger and its psychological foundations. Findings Anger exhibits a paradoxical duality influencing entrepreneurial decision-making and behaviour. This duality manifests across several dimensions. Cognitively, it can sharpen focus or lead to fixation; emotionally, it may energise or overwhelm; motivationally, it can spur action or provoke recklessness; volitionally, it may enhance determination or induce impulsivity; and behaviourally, it can lead to strategic assertiveness or reactive aggression. Research limitations/implications Although this theoretical examination reveals the paradoxical nature of entrepreneurial anger, future empirical studies are needed to explore its temporal evolution, cross-cultural variances and interactions with other emotional states. This research should help validate the proposed dimensions and implications of entrepreneurial anger in real-world settings. Practical implications Understanding the paradoxical nature of entrepreneurial anger is vital for entrepreneurs. recognising its dual properties allows them to mitigate the anger’s negative consequences while leveraging its potential as a strategic asset. To transform anger into a strategic asset, entrepreneurs need to augment their self-awareness, hone emotion regulation skills and cultivate deliberation-based decision-making approaches. At an organisational level, entrepreneurs should foster a culture where emotions are openly acknowledged and addressed, as well as constructively managed. This can help turn anger into an entrepreneurial performance driver. Social implications By promoting a deeper understanding of entrepreneurial anger, this research can foster healthier entrepreneurial ecosystems where emotions are acknowledged, understood and managed effectively, leading to more sustainable and harmonious entrepreneurial ventures. Originality/value This work offers a holistic conceptual analysis of entrepreneurial anger elucidating its paradoxical properties and implications.

Background: The endometrial microbiome, its composition, and the quantity of some bacteria could be predictors of successful implantation in vitro fertilisation (IVF) treatment. The presence of Lactobacillus, which negatively correlates with pathogenic bacteria, could be a contributing factor to endometrial ecosystem stability. The study aimed to determine whether the quantity of Lactobacillus spp and Gardnerella vaginalis in the endometrium depends on estrogen levels. A secondary aim was to determine whether the decreased number of Lactobacillus spp leads to increased pathogenic bacteria such as Gardnerella vaginalis in the endometrial cavity. Materials and Methods: This prospective study was conducted in a private IVF center in Tuzla, Bosnia and Herzegovina. Participants were recruited from February 2023 to December 2023. The tip of a double-lumen catheter was used to collect samples from the endometrium. QIAamp DNA Mini Kit was used for DNA isolation. A commercial real-time polymerase chain reaction (RT-PCR) kit was used to detect Lactobacillus spp and Gardnerella vaginalis quantitatively. Results: In total, 92 participants were included in the study, 57 in the fresh cycle and 35 in the frozen cycle of IVF. The youngest participant was 18 years old, and the oldest was 45 years old. The mean age of participants was 34.3 years with a standard deviation of 5.7. After RT-PCR, 90 participants had positive tests on Lactobacillus spp, Gardnerella vaginalis was positive in 31 participants. Conclusion: Supraphysiological estrogen levels do not significantly change the quantity of Lactobacillus spp and Gardnerella vaginalis in the endometrial cavity. Decreasing the number of Lactobacillus spp increased the number of pathogenic bacteria Gardnerella vaginalis in the endometrial cavity.

We present absolute frequency measurements of a laser stabilized using an offset sideband locking technique on the P(49)24-1 rovibrational transition of 127I2 near 556 nm. The P(49)24-1 transition is offset by 4.8 GHz from the intercombination transition of 171Yb. A dual-tone electro-optical modulator is employed to bridge this frequency gap, enabling frequency stabilization of the 556 nm laser near the Yb transition, achieving a fractional frequency stability of 1.2 × 10-11 at one second. We thoroughly characterize the frequency shifts associated with this locking scheme, with typical systematic effects fractional uncertainties of 9 × 10-12.

Purpose Digital game-based learning (DGBL) has emerged as a new learning method that offers ample advantages compared to traditional learning environments. Although previous research supports the effectiveness of DGBL, there is a lack of studies explaining the relationship between the concrete elements of a digital game and the highly abstract and intangible personal values. Thus, this paper aims to employ means-end chain (MEC) theory to identify the attributes of DGBL, the benefits that learners derive from these attributes and how these benefits contribute to learners’ terminal values. Design/methodology/approach This paper used MEC theory to map the attributes, consequences and values of DGBL. The study was conducted on 20 students at a European university, and data analysis using the laddering technique included content analysis, classification into A-C-V levels, construction of an implication matrix and generation of a hierarchical value map (HVM). Findings This study provides insight into key design elements of digital educational games through a hierarchical value map, identifying how attributes such as interactive content, simulation of real-world situations and adaptability influence psychological and functional consequences that lead to higher student values: happiness, achievement, personal growth and autonomy. The four dominant trajectories associated with DGBL are the happiness-driven, achievement-driven, growth-driven and autonomy-driven trajectories, each of which is supported by relevant learning and motivation theories. The study also highlights the importance of elements such as reduced cognitive load, greater emotional engagement and tailored educational content in improving learning outcomes. Research limitations/implications The research is based on subjective, self-reported data and a sample of higher education students at a single European university, which may limit the applicability of the findings to lower educational levels and other cultural contexts. Additionally, the analysis encompasses DGBL in general, without focusing on specific types of games or modes of play. Practical implications The results obtained from the means-end analysis are valuable for understanding the fundamental values of learners that motivate them to engage in DGBL, offering insight into game design attributes and consequences related to higher-order personal values. The present study shows that the three most important game design elements are interactive content, simulation of the real-world and customization. Originality/value This study extends the application of the MEC approach in a new context and validates the laddering technique, revealing the hierarchy of values that students realize through DGBL. It also provides insight into the pathways linking attributes, consequences and values and offers a solid HVM framework for future research on the impact of game design elements on learning outcomes.

Aims: This paper aims to investigate internal marketing dimensions in banks in the market of Bosnia and Herzegovina (BiH). The research aims are: 1) To determine the attitudes of employees and management regarding the presence of the observed internal marketing dimensions (familiarity with the vision, reward system, training and development, internal communication) in the banks in BiH, 2) To determine the existence of a statistically significant difference in the attitudes of employees and management regarding the presence of the observed internal marketing dimensions in the banks in BiH, 3) To determine the impact of socio-demographic characteristics on the attitudes of employees and management regarding the presence of the observed internal marketing dimensions in the banks in Bosnia and Herzegovina. Study Design: A quantitative research approach was employed to investigate internal marketing dimensions, utilizing a survey method to collect empirical data from management and employees in banks across Bosnia and Herzegovina. Place and Duration of Study: The data were collected in Bosnia and Herzegovina from management and employees of the banks during the last quarter of 2023. Methodology: This paper is based on empirical data collected through the written structured questionnaire. The total of 250 questionnaires were collected, of which 184 were included in the analysis. The total number of validated responses was 63 from managers and 121 from employees. To analyze the data, an independent samples t-test was conducted to determine whether significant differences existed between employees' and management's perceptions of internal marketing dimensions. Additionally, a chi-square (χ2) test was used to examine the relationship between socio-demographic characteristics and respondents' attitudes toward internal marketing dimensions. Results: The results indicate that the attitudes of employees and management differ in two out of four observed internal marketing dimensions: familiarity with the vision and the presence of the reward system in BiH banks. However, no significant differences were found in attitudes toward training and development or internal communication. Additionally, socio-demographic characteristics did not show any significant correlation with internal marketing perceptions. Conclusion: This study highlights the need for a more consistent and strategic approach to internal marketing within BiH banks, particularly in aligning employees and management on key dimensions. Addressing these gaps could enhance organizational cohesion and effectiveness.

Introduction This study explored the complex relationship between anxiety, depression, compassion fatigue, and satisfaction among long-term care (LTC) workers following the COVID-19 pandemic. In addition, the study assessed psychometric properties of the Professional Quality of Life (ProQOL) scale, to ensure a reliable and valid instrument for identifying compassion fatigue and satisfaction in the Serbian healthcare system. Methods A cross-sectional study was conducted across LTC facilities in the Republic of Serbia. A ProQOL was administered to physicians, nurses, and aids, to measure compassion fatigue (including burnout and secondary traumatic stress) and compassion satisfaction. The following standardized instruments were also distributed: Secondary Traumatic Stress Scale (STSS), Depression Anxiety and Stress Scale 21 (DASS-21) and 12-Item Short-Form Health 36 Survey (SF-12). Results A total of 300 LTC workers participated, mostly women (86.3%), with an average age of 45.4 ± 10.5 years and a median work experience of 15 years (range: 1 to 42 years). The study reported a significant presence of anxiety and depression symptoms (53.3% and 43.3%, respectively), with LTC workers experiencing moderate levels of compassion fatigue, as indicated by burnout (58.3%) and stress (57.3%) subscales, and moderate or high levels of compassion satisfaction (49.0% and 50.0%, respectively). The study demonstrated that anxiety impacts depression both directly and indirectly (p<0.05). Specifically, burnout and compassion satisfaction mediated the positive effect of anxiety on depression, indicating that increased anxiety led to higher burnout and lower compassion satisfaction, which resulted in greater depression (p<0.05). The three-factor structure of the ProQOL was validated (IFI, TLI, and CFI were above the cut-off of ≥0.95, and the RMSEA was below the suggested value of ≤ 0.06). The Cronbach α of the three subscales was above 0.8, indicating good scale reliability. Conclusion This study contributes to the broader literature on LTC workers wellbeing by examining the complex interplay between professional quality of life, anxiety, and depression. The findings should guide decision-makers in developing targeted interventions and policies that promote the psychological resilience and well-being of LTC workers, thereby enhancing both individual and organizational outcomes in the healthcare sector.

Technologies such as virtual metrology (VM), which monitors fabrication processes and predict product properties without physical measurements have numerous positive impacts. In this paper, we propose a VM system that predicts multiple physical properties of metal layers after the physical vapor deposition. We employ the Projective Selection (ProjSe) algorithm, which is suitable for variable selection in multioutput problems, to investigate the relationship between process parameters and layer properties. The effectiveness of the feature selection process combined with different regression models is demonstrated on real-world datasets collected from semiconductor manufacturer Infineon Technologies AG.

Atherosclerosis is the underlying cause of myocardial infarction and ischemic stroke. It is a lipid-triggered and cytokine/chemokine-driven arterial inflammatory condition. We identify D-dopachrome tautomerase/macrophage migration-inhibitory factor-2 (MIF-2), a paralog of the cytokine MIF, as an atypical chemokine promoting both atherosclerosis and hepatic lipid accumulation. In hyperlipidemic Apoe–/– mice, Mif-2-deficiency and pharmacological MIF-2-blockade protect against lesion formation and vascular inflammation in early and advanced atherogenesis. MIF-2 promotes leukocyte migration, endothelial arrest, and foam-cell formation, and we identify CXCR4 as a receptor for MIF-2. Mif-2-deficiency in Apoe–/– mice leads to decreased plasma lipid levels and suppressed hepatic lipid accumulation, characterized by reductions in lipogenesis-related pathways, tri-/diacylglycerides, and cholesterol-esters, as revealed by hepatic transcriptomics/lipidomics. Hepatocyte cultures and FLIM-FRET-microscopy suggest that MIF-2 activates SREBP-driven lipogenic genes, mechanistically involving MIF-2-inducible CD74/CXCR4 complexes and PI3K/AKT but not AMPK signaling. MIF-2 is upregulated in unstable carotid plaques from atherosclerotic patients and its plasma concentration correlates with disease severity in patients with coronary artery disease. These findings establish MIF-2 as an atypical chemokine linking vascular inflammation to metabolic dysfunction in atherosclerosis. Fatty liver disease exacerbates atherosclerosis, but the underlying mechanisms remain unclear. Here, the authors show that D-dopachrome tautomerase (D-DT/MIF-2) acts as an atypical chemokine, promoting both atherosclerosis and hepatic lipid accumulation.

Introduction This study aimed to investigate the anti-inflammatory, antioxidant, and anti-apoptotic properties of ursodeoxycholic (UDCA) and chenodeoxycholic (CDCA) bile acids in a rat model of endotoxin (lipopolysaccharide, LPS)-induced acute lung injury (ALI). Methods The study included six groups of Wistar rats exposed to different pretreatments. The control and endotoxin groups were pretreated with propylene glycol, a solvent for bile acids, while the other groups received UDCA or CDCA for 10 days. On the 10th day, an endotoxin injection was given to evaluate the impact of these pretreatments. Lung tissue sections were analyzed by immunohistochemistry, targeting the pro-inflammatory marker nuclear factor kappa B (NF-κB), the anti-apoptotic marker B-cell lymphoma 2 (BCL-2), pro-apoptotic markers BCL-2-associated X protein (BAX) and caspase 3, as well as the aquaporins 1 and 5 (AQP1 and AQP5). Oxidative stress was assessed in bronchoalveolar lavage fluid (BALF). Results and discussion This study demonstrates that UDCA and CDCA can mitigate endotoxin-induced lung injury in rats. These effects are achieved through modulation of AQP1 and AQP5 expression, reduction of oxidative stress, regulation of apoptotic pathways (BAX, caspase 3, BCL-2), and attenuation of pro-inflammatory activity of NF-κB. Although the results indicate a significant association between the expression of these proteins and histopathological changes, the potential influence of additional factors cannot be excluded. These findings suggest that UDCA and CDCA provide lung protection by acting through complex mechanisms involving inflammatory, oxidative, and apoptotic pathways.

Architecture embodies the social context from which it emerges. In the countries of the former Yugoslavia, architects and planners have played a pivotal role in translating the ideals and values of political systems into physical space. The socialist programs of “brotherhood and unity” and “worker self-management” were articulated in various public architectural typologies, open and accessible to all, and shaped a new social framework. Less emphasized but equally present is the historical continuity of self-organizing architecture, representing the shared goal of population survival and adaptability to forthcoming changes. In the aftermath of the 1990s war, Bosnia and Herzegovina is undergoing a multifaceted transition: from socialism to capitalism, from conflict to peace, from post-war recovery toward sustainable development and democratic governance. More than 30 years later, this radical paradigm shift has significantly impacted the urban landscape of Sarajevo, affecting both new developments and the approach to the urban legacy of previous epochs. By correlating the socio-spatial factors of transition, this article explores the post-socialist residential neighborhoods of Novo Sarajevo that were once divided by the frontline during the siege of Sarajevo, particularly their current status and the potential for the transformation of the remaining indoor and outdoor social spaces. The model employed for redefining social spaces in vulnerable areas emphasizes user participation, and was tested through an academic research project to address collective issues. This research has shown the role of the participatory approach as an instrument for the reinvention of existing, even contested, social assets to create an inclusive, sustainable urban environment in post-conflict conditions. The approach may be able to heal the remnants of the collapsed system, its neglected legacy, and the damaged urban and social structures.

Magnetometry is used to detect ferrous objects at various scales, but detecting small-size, compact sources that produce small-amplitude anomalies in the shallow subsurface remains challenging. Magnetic anomalies are often approximated as dipoles or volumes of dipoles that can be located, and their source parameters (burial depth, magnetization direction, magnetic susceptibility, etc.) are characterized using scalar or vector magnetometers. Both types of magnetometers are affected by space weather and cultural noise sources that map temporal variations into spatial variations across a survey area. Vector magnetometers provide more information about detected bodies at the cost of extreme sensitivity to orientation, which cannot be reliably measured in the field. Magnetic gradiometry addresses the problem of temporal-to-spatial mapping and reduces distant noise sources, but the heading error challenges remain, motivating the need for magnetic gradient tensor (MGT) invariants that are relatively insensitive to rotation. Here, we show that the finite size of magnetic gradiometers compared to the lengthscales of magnetic anomalies due to small buried objects affects the properties of the gradient tensor, including its symmetry and invariants. This renders traditional assumptions of magnetic gradiometry largely inappropriate for detecting and characterizing small-size anomalies. We then show how the properties of the finite-difference MGT and its invariants can be leveraged to map these small sources in the shallow critical zone, such as unexploded ordnance (UXO), landmines, and explosive remnants of war (ERW), using both synthetic and field data obtained with a triaxial magnetic gradiometer (TetraMag).