The integration of deep learning into symbolic music generation presents new opportunities for emulating artist-specific musical styles. In this paper, we propose a multi-branch Long Short-Term Memory (LSTM) network designed to generate monophonic melodies conditioned on note pitch, duration, and playback, with a focus on stylistic imitation of The Beatles. Unlike existing approaches that model music solely as sequences of pitches, our model processes three distinct streams of musical attributes and learns joint temporal dependencies through a custom architecture. We introduce a structured data representation derived from 193 MIDI files of Beatles songs using the music21 toolkit, extracting pitch and duration features and quantizing them into a format suitable for sequential prediction. Experimental results demonstrate that the model captures artist-specific musical patterns with moderate accuracy across output branches, and a listening test involving 71 participants validates the perceptual plausibility of the generated compositions. Our findings suggest that feature-aware sequence modeling is effective for stylistically informed symbolic music generation, and we discuss limitations and future extensions toward polyphonic modeling and conditional generation.

Motion tracking achieved via conventional video processing and machine vision algorithms is often hindered by challenges such as motion blur and the lack of distinctive visual features, particularly when tracking fast-moving objects. To address these limitations, active visual markers are often used. In this paper, we present the design and prototype implementation of an active marker that is compact, detachable, and self-powered, making it well-suited for real-world tracking applications. Furthermore, the marker is fully configurable through an accompanying software solution and an additional wireless communication controller via an infrared protocol. The applicability of the developed markers is demonstrated using both conventional RGB and event-based cameras, highlighting their versatility and robustness across diverse sensing modalities. Their tracking capabilities are validated in both single- and multi-object scenarios. Overall, the developed multi-functional markers provide a flexible and practical foundation for high-speed motion tracking under challenging visual conditions, paving the way for further research and advanced applications in related fields.

While traditional sampling-based path planning approaches for robotic manipulators, such as RRT (Rapidly-Exploring Random Trees) and PRM (Probabilistic Roadmaps), provide feasible solution paths, convex optimization-based techniques offer some additional features. Some of these methods unfortunately require a representation of the manipulator’s configuration space as a set of convex volumes, which can be challenging to obtain due to the high dimensionality and complexity of the configuration space. This work presents an algorithm for computing convex volumes in the manipulator’s configuration space, called GBur-IRIS. The algorithm combines the structure known as the generalized bur of free C-space with the convex volume-inflating algorithm IRIS (Iterative Regional Inflation by Semidefinite Programming). It follows a simple iterative procedure. First, it computes a generalized bur. Then, it encloses the bur in an ellipsoid. Finally, it uses this ellipsoid to initialize the IRIS algorithm. The paper provides a detailed description of the algorithm and shows an extensive simulation study. This study is conducted on several robotic manipulators and environments, and the results are discussed and compared with existing approaches from the literature.

Tumor evolution is driven by various mutational processes, ranging from single-nucleotide vari- ants (SNVs) to large structural variants (SVs) to dynamic shifts in DNA methylation. Current short-read sequencing methods struggle to accurately capture the full spectrum of these genomic and epigenomic alter- ations due to inherent technical limitations. To overcome that, here we introduce an approach for long-read sequencing of single-cell derived subclones, and use it to profile 23 subclones of a mouse melanoma cell line, characterized with distinct growth phenotypes and treatment responses. We develop a computational frame- work for harmonization and joint analysis of different variant types in the evolutionary context. Uniquely, our framework enables detection of recurrent amplifications of putative driver genes, generated by indepen- dent SVs across different lineages, suggesting parallel evolution. In addition, our approach revealed gradual and lineage-specific methylation changes associated with aggressive clonal phenotypes. We also show our set of phylogeny-constrained variant calls along with openly released sequencing data can be a valuable resource for the development of new computational methods.

In paediatric oncology, imaging biomarkers play an increasing role in diagnostic imaging and research. They can be used for prediction, detection, staging, and grading of diseases, as well as for assessment of response to treatment. Imaging biomarkers are complementary to tissue-based biomarkers, enabling a more personalised approach in oncology care. In this white paper by the European Society of Paediatric Radiology (ESPR) Oncology Taskforce and European Association of Nuclear Medicine (EANM) Paediatrics Committee, an overview is given of the current knowledge on the use of imaging biomarkers in general and per tumour group.

The objectives of this study are to determine the prevalence of Staphylococcus aureus in nasal and throat swab samples collected from healthy individuals within a population of workers and students, analyze its frequency in relation to the gender distribution of partici- pants, and assess the antibiotic susceptibility profile. S. aureus was isolated exclusively from nasal swab samples (111/1403). The findings indicate that nasal carriage is significantly more prevalent in male participants than in females and is independent of age. No statistically significant differences in S. aureus prevalence were observed between the worker and student populations. Resistance was detected for: penicillin, ampicillin, amoxicillin/clavulanate, oxa- cillin, cephalexin, gentamicin, erythromycin, chloramphenicol, trimethoprim-sulfamethoxaz- ole and ciprofloxacin. Further research involving a larger sample size and an extended study period is required to elucidate the influence of geographic and sociodemographic factors on S. aureus carriage, as well as the potential impact of gender on the prevalence of resistant strains.

Introduction: Stress is an essential element of students' academic lives, especially as exams approach. Due to academic demands, social pressure, and personal expectations, stress can negatively impact students' mental and physical health and lead to an increased risk of chronic illness. This study investigated the effects of oral exams on students' physiological parameters. Material and Methods: The study involved 35 physiotherapy students. The "Smart Bracelet TK 30" monitored heart rate, blood pressure, and blood glucose levels before and during the exams. Results: Significant blood pressure and pulse changes were observed between resting and exam conditions. Blood glucose levels were higher in men than in women during the exams. Conclusion: Exam stress significantly impacts students' physiological responses. Given the potential long-term health risks, preventive health strategies should be developed to help students cope with academic stress.

Background/Objectives: This study investigates the antimicrobial properties of pomegranate peel extract (PoPEx) and its major polyphenolic constituents against Gram-positive and Gram-negative bacteria, employing six clinical isolates of Staphylococcus aureus and five isolates of Escherichia coli. The study further aims to elucidate mechanisms of action through molecular docking and transport studies. Methods: Chemical composition was analyzed using liquid chromatography–mass spectrometry (LC–MS). Antimicrobial activity was determined by the broth microdilution method. Molecular docking was performed with the AutoDock Vina algorithm, and transport studies through porin channels were carried out using Caver software. Results: PoPEx showed stronger activity against Gram-positive (MICs 15.62–500.00 μg/mL) than Gram-negative bacteria (MICs 125.00–500.00 μg/mL). Punicalagin was most active against S. aureus, while gallic acid was most effective against E. coli. Docking revealed high affinities of punicalagin and punicalin, whereas transport studies highlighted the advantage of smaller phenolics like gallic acid in crossing porins. Conclusions: Larger tannins exhibited strong target binding but limited porin permeability, reducing efficacy in Gram-negative bacteria. These findings provide insights into structure–activity relationships of pomegranate polyphenols and support their potential as natural antimicrobial agents.

Lung development is governed by tightly regulated signaling mechanisms, including endocytosis-mediated pathways critical for epithelial–mesenchymal communication and tissue remodeling. This study investigated the effects of Dab1 deficiency on the expression of endocytic and signaling-related proteins, Megalin, Cubilin, Caveolin-1, GIPC1, and Dab2IP, during embryonic lung development in yotari mice. Using immunofluorescence and quantitative image analysis, protein expressions were compared between yotari and wild-type embryos at gestational days E13.5 and E15.5. Results showed significantly reduced expression of Caveolin-1 in the yotari epithelium across both stages, along with diminished mesenchymal levels of Megalin and GIPC1 at E13.5. Cubilin and Dab2IP expression patterns showed no statistically significant differences, although developmental and compartmental shifts were observed. These findings suggest that Dab1 deficiency selectively disrupts endocytic and signaling scaffolds crucial for branching morphogenesis and alveolar maturation. The altered spatiotemporal expression of these proteins underscores the essential role of Dab1 in regulating lung epithelial–mesenchymal dynamics and maintaining developmental homeostasis during critical stages of organogenesis.

Background/Objectives: In many low- and middle-income countries (LMICs), including Bosnia and Herzegovina, oncology services are constrained by a limited number of specialists and uneven access to evidence-based care. Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT, may provide clinical decision support to help standardize treatment and assist clinicians where oncology expertise is scarce. This study aimed to evaluate the concordance, safety, and clinical appropriateness of ChatGPT-generated treatment recommendations compared to decisions made by a multidisciplinary team (MDT) in the management of newly diagnosed breast cancer patients. Methods: This retrospective study included 91 patients with newly diagnosed, treatment-naïve breast cancer, presented to an MDT in Bosnia and Herzegovina in 2023. Patient data were entered into ChatGPT-4.0 to generate treatment recommendations. Four board-certified oncologists, two internal and two external, evaluated ChatGPT’s suggestions against MDT decisions using a 4-point Likert scale. Agreement was analyzed using descriptive statistics, Cronbach’s alpha, and Fleiss’ kappa. Results: The mean agreement score between ChatGPT and MDT decisions was 3.31 (SD = 0.10), with high consistency across oncologist ratings (Cronbach’s alpha = 0.86). Fleiss’ kappa indicated moderate inter-rater reliability (κ = 0.31, p < 0.001). Higher agreement was observed in patients with hormone receptor-negative tumors and those treated with standard chemotherapy regimens. Lower agreement occurred in cases requiring individualized decisions, such as low-grade tumors or uncertain indications for surgery or endocrine therapy. Conclusions: ChatGPT showed high concordance with MDT treatment plans, especially in standardized clinical scenarios. In resource-limited settings, AI tools may support oncology decision-making and help bridge gaps in clinical expertise. However, careful validation and expert oversight remain essential for safe and effective use in practice.

Simple Summary Climate change is becoming a serious threat to animal farming, making it important to find animals that can cope well with high and low temperatures. This study focused on two strains of indigenous Pramenka sheep from Bosnia and Herzegovina to determine how they respond to heat and cold. Researchers looked at the activity of specific genes that help animals deal with temperature stress using blood samples from 96 sheep collected in summer and winter across different regions. The results showed that one strain, Hercegovačka sheep, had much higher activity of a gene that protects cells from heat damage, especially during hot weather. Both strains showed strong abilities to control inflammation and protect themselves from harmful effects caused by heat, which helps them stay healthy in challenging climates. This study concluded that Hercegovačka sheep have better natural protection against temperature changes, but both strains have useful traits for surviving in a changing climate. These results can help farmers and scientists choose and protect sheep breeds that are more likely to thrive as weather conditions become more extreme, ensuring food production and supporting rural communities in the future.

Although numerous studies have explored the electric vehicles (EVs) adoption, the theory of reasoned action (TRA) is underutilized, while the role of consumer innovativeness in predicting purchase intent and behavior remains unclear. This study focuses on the interplay among attitude towards EVs, subjective norm, consumer innovativeness, purchase intention and actual behavior. A structured survey was applied in 2024 to collect data, and a sample composed of 212 respondents from the United Arab Emirates was properly balanced across various characteristics. TRA was extended using the consumer innovativeness construct, which resulted in a new hypothetical model. Once evidence was provided for both validity and reliability of the measures, the hypotheses were tested. Structural equation modelling (SEM) results show that subjective norm does not have significant direct effects on purchase intention, while the consumer innovativeness affects attitude towards EVs. While both attitude towards EVs and consumer innovativeness appear to be direct predictors of purchase intention, attitude towards EVs played a significant mediating role in a relationship between consumer innovativeness and purchase intention. The results of logistics regression revealed that purchase intention directly affects purchase behavior. The paper contributes to significant theoretical and practical implications, which are further discussed.

Abstract Introduction. Physical literacy (PL) and health literacy (HL) are important concepts that are theoretically associated with physical activity (PA), but studies have rarely examined these problems simultaneously in older adults, particularly women. The aim of this study was to evaluate the associations between HL and PL with PA in women older than 60 years from Croatia. Material and methods. The participants were 49 women from an urban center in southern Croatia who were tested on HL (via the validated Croatian version of the European Health Literacy Survey Questionnaire), PL (via the Perceived Physical Literacy Questionnaire for South Eastern Europe), and PA (via the Nordic Physical Activity Questionnaire – short version) in controlled settings. Different facets of PL and HL were univariately and multivariately correlated with weekly moderate-to-vigorous PA (MVPA) and weekly vigorous PA (VPA). Results. Almost 39% of the participants reached the World Health Organization recommendations for weekly PA. The PL variables were not significantly correlated with MVPA, nor with VPA (up to 6% of the common variance). The HL was significantly (p < 0.05) correlated with VPA across several subdomains (9% to 20% of the common variance). Multiple regression analysis revealed a significant multivariate association between HL subdomains and VPA (27% of the explained variance), indicating a positive influence of the higher HL on PA in older women. Conclusions. Promoting HL in older women can enhance PA by improving their understanding of the health risks and benefits of PA. Educational efforts should focus not only on providing information but also on helping women interpret and apply it in meaningful, everyday contexts.

Introduction: It is suggested that bladder cancer (BC) development is linked to glutathione S-transferase (GST) enzymes. This study aimed to determine the correlation between glutathione S-transferase Mu 1 (GSTM1), glutathione S-transferase Theta 1 (GSTT1), and N-acetyltransferase 2 (NAT2) variants with BC progression and recurrence rating. Materials and methods: This study included 105 Bosnian and Herzegovinian subjects: 60 patients with histopathologically confirmed BC and 45 controls without urological diseases. GSTM1, GSTT1 (rs36631 and rs17856199, respectively), and NAT2 (rs1799929, rs1799930, and rs1799931) were investigated. Results: Both one- and five-year probabilities of progression were not significantly different in GSTM1 and NAT2 polymorphisms. One-year probability of progression was significantly higher in the GSTT1 T-- (null) than the T++ (wildtype) genotype (14.7% (±6.9) vs. 8.9% (±6.7), respectively; p=0.048). Five-year probability of progression was significantly higher in the GSTT1 T-- than the T++ genotype (39.4% (±14.7) vs. 25.5% (±16.6), respectively; p=0.045). THE GSTT1 T-- genotype was an independent predictor in the one-year probability of recurrence and progression (p=0.03 and p=0.01, respectively). GSTT1 T-- genotype and age were independent predictors for the five-year probability of recurrence (p=0.032 and p=0.04, respectively) as well as independent predictors of the five-year probability of progression (p=0.012 and p=0.03, respectively). Conclusions: The GSTT1 T-- genotype was an independent predictor in the one- and five-year probabilities of both recurrence and progression of BC. GSTT1 rs17856199 may be a significant factor in the development of tumors and the course of disease in Bosnian and Herzegovinian BC patients.