AimCOVID-19 pandemic, caused by SARS-CoV-2, has had a profound impact on global health, including in Bosnia and Herzegovina, which faced unique challenges due to limited testing and high mortality rates. This analysis aimed to identify mutations and detect different SARS-CoV-2 lineages across four pandemic waves.MethodologyA total of 127 SARS-CoV-2 samples were collected and sequenced from patients from the Federation of Bosnia and Herzegovina, providing a comprehensive overview of the viral genetic diversity in this region. Two sequencing platforms, Ion Torrent and Illumina, were used, whereby 37 samples were sequenced on the Ion Torrent platform, while others were sequenced on the Illumina platform.ResultsThis study presents a genomic analysis of SARS-CoV-2 variants circulating in the Federation of Bosnia and Herzegovina over four distinct pandemic waves, spanning from March 2020 to April 2023. Examination of genomic variations across these waves revealed key mutations associated with transmission and potential virulence.ConclusionThese genomic insights into SARS-CoV-2 evolution in Federation of Bosnia and Herzegovina emphasizes the importance of continuous surveillance to understand viral evolution and strengthen public health responses to future pandemics.

OBJECTIVE Traumatic dental injuries (TDI) are among the most common public health issues in dentistry. The dentist's role in the immediate treatment of traumatic injuries is crucial, as it impacts the long-term outcome of treatment and the patient's quality of life. Dentists should have good knowledge of dentoalveolar trauma to be ready to act promptly in emergencies and to be able to provide appropriate guidance and advice to eyewitnesses or injured individuals at the scene of an accident. This study aimed to assess the level of knowledge regarding TDI among dental students and dentists. MATERIALS AND METHODS Participants included fourth- and sixth-year dental students, dentists, oral surgery residents and specialists, with a response rate of 61.99% from 1059 participants. Data collection involved face-to-face and email methods. Quantitative data analysis utilised Student's t-test and ANOVA, while categorical data was analysed using Pearson chi-square test, with RStudio and Excel for data analysis. RESULTS Dental students had a mean score of 15.0 ± 4.7, indicating the highest theoretical knowledge of TDI compared to other examined groups. However, 83.5% reported never experiencing TDI. Oral surgical residents scored lowest at 7.8 ± 2.3. Interestingly, dentists with less than 5 years of experience outperformed those with 5-10 years of practice. Most participants (92.4%) prioritised direct tooth replacement, but only 67.7% identified proper tooth-preserving media, and just 38.0% understood the ideal splint for avulsed teeth. CONCLUSION While dental students demonstrated a strong understanding of TDI management, there are areas needing further education, especially among oral surgical residents. Since TDI knowledge tends to decline throughout the years of practice, continuous education on TDI for dental practitioners is essential.

Introduction Prisoners are at a higher risk of communicable diseases (such as HIV and hepatitis) than the general population. Therefore, medical screening is crucial for early diagnosis, treatment, identifying those at higher risk of infection, and prevention of infection spread. Objective The main objective of this study was to analyze the factors associated with hepatitis B and C seropositivity in the prison population in Montenegro in two consecutive study years. Method Prisoners of Prison for Short and Long prison terms in Spuž, Montenegro, were included in two cross-sectional studies during 2012 and 2021. Data on socio-demographic factors, risky behavior, and preventive measures related to blood-borne viruses were collected. The data were statistically processed by statistical testing of differences and applying regression models in SPSS Windows, version 19. Results A total of 506 prisoners (2012–298; 2021–208) were included in this study. One fifth of prisoners were seropositive for viral hepatitis B (2012–0.7%; 2021–3.4%) or C (2012–21.8%; 2021-20.7%) or both (2012–0.33%; 2021–0.0%). Factors associated with viral hepatitis B and C seropositivity in both years were shorter prison terms served and injection drug use. Additionally, factors associated with prisoners seropositivity in 2012 were ever drug use and lack of free hygiene kits in prison, and in 2021 were condom use with a permanent partner, non-condom use with non-permanent partner, and availability of free syringes and needles distribution. Conclusion and recommendation Prevalent risky behaviors and the lack of harm reduction interventions are more common among seropositive prisoners. Establishing a prison hospital, improving the surveillance system, introducing new or improving old harm reduction interventions is imperative.

Even when remission is achieved in inflammatory bowel disease (IBD), gastrointestinal symptoms may persist. These can be classified as irritable bowel syndrome (IBS)-like symptoms in IBD in remission. Further scientific research and debate are required to clearly define this entity and to improve the quality of IBD care.

Methods: A experimental study involved the participation of 207 soccer coaches (B, A and PRO UEFA coaching license). The subscale of the questionnaire refers to coaching and leadership competencies, contains 47 items and was created from the existing questionnaires. Responses to the items of the third subscale are also given in the form of a five-point Likert scale, where respondents were required to indicate the level of agreement with the given statements. The questionnaire examines coaching and leadership competencies contained in 6 groups of competencies. Each competency (communication competencies, football and other competencies, organizational competencies, leadership competencies, technical and motivational competencies, training technology competencies - performance monitoring and training/match analysis) consists of 7 or 8 items. The validation of the developed instrument in this empirical study was conducted using two procedures: (1) factor analysis (PCA with oblique rotation) and (2) an internal consistency assessment (Scale Reliability Analysis – Cronbach's Alpha). Results: By applying principal component factor analysis to the data of the "coaching and leadership competencies" subscale with oblimin factor rotation, 7 significant factors with a Kaiser value greater than 1 and 64.671% of the total variance were identified. Conclusions: The non-objectivity of the respondents was established by applying a self-evaluation scale, and it was confirmed that such questionnaires cannot be used to assess the accuracy of an individual's assessment. It is noticeable that the general opinion of coaches about the importance of certain competencies is probably wrong.

Abstract Developmental abnormalities in elasmobranchs (sharks and rays) are rarely documented, with reported cases primarily involving fin or cranial deformities. Monozygotic twinning, the formation of identical twins from a single zygote, is particularly rare in these species and has been observed overwhelmingly in viviparous elasmobranchs. Here, we document a rare case of monozygotic twinning in an oviparous shark, the Small‐spotted Catshark Scyliorhinus canicula (Linneaus, 1758). This case was characterized by two embryos connected to a single yolk sac via separate yolk stalks within the egg capsule. The embryos exhibited normal development until mortality at developmental Stage 31 (Ballard et al., 1993) or stage 4 (Musa et al., 2018), likely due to stressors such as oxidative stress and allostatic overload, resulting from shared resources within the capsule. This is the first confirmed instance of mortality in monozygotic elasmobranch twins, highlighting the plausible challenges of polyembryony in oviparous elasmobranchs. These findings underscore the importance of understanding reproductive abnormalities and their implications for fecundity, particularly in light of ongoing anthropogenic pressures that threaten elasmobranch populations globally.

This work is part of the project “Humanity as a Forgotten Olympic Discipline” which represents a humanitarian expedition where an athlete will be enduring 13 days of a triathlon starting at the Faculty of Agriculture and Food Sciences, University of Sarajevo, Bosnia and Herzegovina, and finishing at the top of the Olympus Mountain in Greece. The primary goal of this project was to collect financial resources for the purpose of treating patients with cancer. Through his actions, the triathlon athlete faced extreme challenges which symbolically represent a battle full of ups and downs which these patients are fighting each day. A triathlon is a sport that requires skills, effort, endurance and motivation. It combines three sports disciplines: running, cycling, and swimming. The athlete was engaged in these disciplines during his venture to the Olympus Mountain. Most important aspect of this humanitarian expedition was the power of will. The will to succeed equals the will to get well. In these extreme circumstances, the athlete had support from his team: project coordinator, Doctor of Medicine, nutritionist, mountain climbing expert and photographer. Due to daily exhausting physical activity, the role of nutritionist played a significant part in his endeavor. Hence, the dietary plan was adapted to the conditions of staying in camper vans and facing unexpected challenges. Used methods were: Anthropometry (height, weight, BMI); instrument based on bioelectrical impedance method (BIA); software Program Prehrane 5.0; creating a dietary plan for 11 days including food preferences, energy needs and endurance parameters. Expected outcome refers to meeting the nutritional needs of the athlete with the aim of maintaining endurance and energy.

Triggered by advances in atomic-layer exfoliation and growth techniques, along with the identification of a wide range of extraordinary physical properties in self-standing films consisting of one or a few atomic layers, two-dimensional (2D) materials such as graphene, transition metal dichalcogenides (TMDs), and other van der Waals (vdW) crystals now constitute a broad research field expanding in multiple directions through the combination of layer stacking and twisting, nanofabrication, surface-science methods, and integration into nanostructured environments. Photonics encompasses a multidisciplinary subset of those directions, where 2D materials contribute remarkable nonlinearities, long-lived and ultraconfined polaritons, strong excitons, topological and chiral effects, susceptibility to external stimuli, accessibility, robustness, and a completely new range of photonic materials based on layer stacking, gating, and the formation of moiré patterns. These properties are being leveraged to develop applications in electro-optical modulation, light emission and detection, imaging and metasurfaces, integrated optics, sensing, and quantum physics across a broad spectral range extending from the far-infrared to the ultraviolet, as well as enabling hybridization with spin and momentum textures of electronic band structures and magnetic degrees of freedom. The rapid expansion of photonics with 2D materials as a dynamic research arena is yielding breakthroughs, which this Roadmap summarizes while identifying challenges and opportunities for future goals and how to meet them through a wide collection of topical sections prepared by leading practitioners.

Introduction Ovarian serous cystadenocarcinoma (SCA), a deadly gynecologic cancer, often goes undetected until the late stages. Tissue proteomics unveils disease heterogeneity, enhancing tumor classification and enabling personalized treatments tailored to individual expression profiles. Material and methods Tissue samples from 46 serous ovarian tumors were quantified using label-free liquid chromatography-tandem mass spectrometry. We identified 80 proteins differentiating SCA from borderline tumors, 277 distinguishing SCA from benign tumors, and 195 between borderline and benign tumors. Ingenuity pathway analysis revealed increased cell proliferation and RNA processing in SCA and borderline tumors compared to benign tumors, with SCA showing greater oxidative phosphorylation than borderline tumors. Results Our comparative analysis indicates that upregulated (ASS1 – argininosuccinate synthase 1, CAPS, PPA1, BCAT1, MCM4) and downregulated proteins (MUC5B, SLC4A1, tenascin-XB – TNXB, carbonic anhydrase 1, hemoglobin β) may offer a robust panel for distinguishing SCA from benign and borderline ovarian tumors, potentially aiding in early diagnosis and disease monitoring. The cancer-associated proteins pyridoxal dependent decarboxylase domain containing 1 (AUC: 0.83, 95% CI: 0.66–1), GFPT1 (AUC: 0.84, CI: 0.70–0.89), and HYOU1 (AUC: 0.84, CI: 0.70–0.98) significantly differentiated between low-grade (LGSCA) and high-grade serous cystadenocarcinoma (HGSCA). Low-grade SCA showed significantly greater levels of MZB1 (log2 fold change (FC): –1.951, p-value: 0.0258), CRABP2 (FC: –2.34, p-value: 0.0016), and BCAM (FC: –1.945, p-value: 0.0197) than borderline cancers. Conclusions Argininosuccinate synthase 1 and TNXB showed potential as markers of disease progression. Elevated ASS1 was observed in borderline, LGSCA, and HGSCA tumors compared to benign tumors, while TNXB levels progressively declined from benign to borderline, LGSCA, and HGSCA tumors. Our study pinpoints critical biomarkers in serous ovarian tumors for HGSCA progression.

Spatial transcriptomics has revolutionized our understanding of tissue organization by simultaneously capturing gene expression and spatial localization within intact tissues. However, analyzing these increasingly complex datasets requires specialized expertise across computational biology, statistics, and biological context. To address this challenge, we introduce the Spatial Transcriptomics AI Agent (STAgent), an autonomous multimodal agentic AI that integrates multimodal large language models (LLMs) with specialized computational tools to transform weeks-long analysis tasks into minutes of automated processing. Unlike conventional machine learning approaches that are limited to narrow, predefined tasks, STAgent leverages the emergent capabilities of multimodal LLMs – such as flexible reasoning, contextual understanding, and cross-modal integration – which allow it to adapt to novel data, execute multi-step analyses, and generate biologically meaningful insights with minimal human input. STAgent enables autonomous deep research through integrated capabilities, including dynamic code generation for complex analytical workflows, visual reasoning for interpreting spatial patterns, real-time retrieval of relevant peer-reviewd scientific literature, and synthesis of comprehensive, actionable reports. We applied STAgent to investigate the in vivo maturation of human stem cell-derived pancreatic cells (SC-pancreas) transplanted into immunodeficient mice. We generated single-cell spatial transcriptomics data spanning multiple developmental timepoints. STAgent autonomously (1) identified the maturation of initially scattered endocrine cells into well-defined islet-like structures, with predominantly peripheral α-cells surrounding β-cell cores supported by an expanding mesenchymal network; (2) revealed strengthening endocrine-endocrine cell interactions over time and, through context-aware gene set analysis, uncovered spatially resolved biological processes driving maturation; (3) unlike traditional analytical approaches, STAgent offers mechanistic explanations of spatial patterns, contextualizing findings with relevant literatures and developing cohesive insights into human pancreatic development. This agentic approach establishes a new paradigm in spatial transcriptomics analysis by substantially lowering the expertise barrier and reducing analysis time, accelerating biological and biomedical discovery.

The accumulation of electrochemically produced bubbles is inevitable in gas-evolving reactions and can induce potential losses by theoretically increasing activation, concentration, and ohmic overpotentials. These effects are often either overstated or completely neglected in the literature, which complicates the accurate analysis of experimental results for gas evolution reactions. This study systematically identifies and quantifies the overpotential losses induced by bubbles by combining experimental results for hydrogen (HER) and oxygen evolution reactions (OER), obtained using the rotating disk electrode (RDE) technique, with simulations based on a two-dimensional transmission line model. Our results show that ohmic overpotential is the primary cause of apparent activity loss due to bubbles in RDE. This effect leads to catalyst activity misestimates exceeding 2 orders of magnitude, and Tafel slope errors of 100% at higher currents if left uncorrected. By identifying these effects, this work provides a robust framework for mitigating inaccuracies and improving the characterization of electrocatalysts for gas evolution reactions.