Abstract Background and purpose Due to their unique application and action, inhalation products require specific quality tests, such as Uniformity of Delivered Dose and Aerodynamic Assessment of Fine Particles. While there's no current official requirement for dissolution tests, new draft guidelines are introducing them as a supportive or required measure; however, a universally accepted methodology for such testing remains elusive. The aim of the present study was to explore the discriminatory ability and in vivo predictability of the newly developed dissolution assembly. Experimental approach The applied experimental approach to biopharmaceutical characterization of inhalation products involved developing a biorelevant method for testing the dissolution rate of the selected active substances. Seven commercially available products, formulated as pressurized metered dose inhalers, containing either salmeterol xinafoate or beclomethasone dipropionate, have been studied. The research strategy combined in vitro testing within silico simulations. Key results The developed dissolution method did not detect significant differences in the case of products containing highly soluble salmeterol, but it did reveal differences for products containing poorly soluble beclomethasone dipropionate. Moreover, a correlation was identified between the dissolution test results and absorption constants for beclomethasone dipropionate. Conclusion The obtained results indicated that the investigated products would not be considered bioequivalent based on the aerodynamic particle size distribution. It was demonstrated that a discriminative dissolution method can be developed through a well-established paradigm of dissolution testing, while taking into account the specificities of the inhalation route of administration.

This paper examines the status and potential of gender studies programs at the University of Sarajevo. It presents the history of gender/women's/feminist studies in Bosnia and Herzegovina, with a primary focus on the postgraduate and doctoral gender studies programs. The postgraduate program in "Gender Studies" was offered from 2006 to 2012, while in 2013, a doctoral program in "Gender Studies" was launched, admitting only the first generation of students. Through an analysis of relevant documents, including curricula, announcements, reports, and other supporting materials, the key aspects of the program are discussed—from the content of the courses to institutional and economic barriers. The study identifies circumstances that have negatively impacted the further development and institutionalization of the program, as well as links to a decline in student interest, limited financial resources, program expenditures, and the commercialization of the program at the University of Sarajevo. Although the "Gender Studies" program formally exists and represents the only such educational program at the University of Sarajevo and in Bosnia and Herzegovina, no calls for new admissions have been made for over a decade. This analysis invites a discussion on the potential for reactivating the program, with the aim of advancing gender studies in the academic context of the country.

The historical facts of the development of the information/communication and media system in Bosnia and Herzegovina represent that each political system has reformed the existing communication channels, organizing them according to its own ideological ambitions. Different types and forms of social control of the media space in Bosnia and Herzegovina in history have most often been motivated by “fear of political subversion“ (McQuail, 2010). The contemporary history of the nineties and the war in Bosnia and Herzegovina resulted in the creation of media spaces that corresponded with the ethnically divided territory and continued the media policies of interpellation, blind following/manipulation of the ideology that Marxist philosopher Althusser defines by imposing ways of thinking or living that correspond to established national concepts. Forms of political parallelism of the media in Bosnia and Herzegovina today are visible through indicators of organizational or financial connections between media structures and different political/interest groups, political orientation of editorial and journalistic staff, and the use of media conditioned by territorial-ethnic criteria. The subject of the analysis is the degree and form of political parallelism of the Bosnian-Herzegovinian media in history. The analysis tried to answer the problematic question related to the issue of objective recognition of the needs and interests of the public in the creation of everyday media agendas, which, among other things, should be in the function of criticism, control and integration, and which are today strongly influenced by historical media practice and media heritage. The research starts from the hypothesis that every state-legal organization in the history of Bosnia and Herzegovina, in order to establish and consolidate a certain system, also established specific communication/media structures, which enabled media promotion and consolidation of the already existing socially established practice of an ethnically divided society. The aim of the research is to point out the importance of establishing and developing stable and independent media organizations in Bosnia and Herzegovina that will enable the nation to imagine itself as coherent, significant and homogeneous community and to point out that basic media functions can be valuable resources for overcoming ethnic, political, nationalist and hegemonic policies in contemporary social constellations.

The aim of this paper is to try to summarize and problematize, and then to offer some theses that were discussed at the Scientific Meeting entitled Engaged Art. The gathering was held on April 18, 2024, in the premises of the Faculty of Philosophy in Sarajevo. Eighteen speakers participated in this Conference. Approaches to this topic were interdisciplinary (fine art, novel, poetry, theatre, film, drama, etc.), historically different (contemporary, ancient Greece, 19th century, etc.), so the following questions were highlighted, which this text underlines: what is engaged art today anyway?, is art in itself already engaged or is there really a special genre of "engagement"?, is engaged art connected to ideology, and if so, in what way!? These and similar questions are the subject of this work.

The Institute for Literary and Cultural Studies of the NIRSA Center of the University of Sarajevo – Faculty of Philosophy, and the Department of Comparative Literature and Information Sciences, University of Sarajevo – Faculty of Philosophy, organized on 19 April 2024 an international scientific conference "Engaged Art", held at the University of Sarajevo – Faculty of Philosophy. Seventeen authors from Bosnia and Herzegovina, Slovenia, Croatia, and Montenegro participated in this scientific conference. We are pleased to publish nine scientific papers that were developed after presentations at this gathering.

Digital humanities is an interdisciplinary academic field that connects digital tools with research in the humanities and social sciences, combining traditional humanistic methodologies with contemporary technologies. The aim of this paper is to provide an overview and analysis of current topics in digital humanities, with a particular focus on the method of distant reading. The analysis is based on works indexed in the Web of Science databases, specifically within the Arts & Humanities Citation Index (A&HCI) and the Social Sciences Citation Index (SSCI). The corpus consists of 28 scholarly articles. The results of the analysis show that the papers can be grouped into two thematic categories: the first includes studies that engage in critical reflection on digital humanities as a field, while the second comprises works that focus on the practical application of digital humanities methods in various academic disciplines. The most represented works are from the field of literary studies. Special attention is given to encouraging the academic community in Bosnia and Herzegovina to consider integrating digital humanities approaches into their own research practices. As an illustration of the possibilities offered by digital tools, the paper includes a case study using the Voyant tool.

Background: Between 10% and 80% of surgical patients experience some form of fear and anxiety before surgery. This is often attributed to inadequate or incorrect preoperative information. Objectives: This study aimed to critically evaluate and compile research that describes the impact of preoperative information on the patient's well-being before surgery. Methods: A systematic search was conducted on PubMed, Medline, CHINAL, Embase, and the Cochrane Library database for qualitative and quantitative literature regarding factors influencing patients' well-being before surgery. An inductive thematic analysis generated categories and subcategories. Nineteen studies were included. Results: Two main categories emerged from the thematic analysis of the included articles. These were the direct impact of information on fear and anxiety and the indirect impact of information on fear and anxiety. Information from healthcare professionals, alternative sources of information, shortage of healthcare professionals, music, and inability to receive information were some of the factors that can influence the well-being of patients before surgery. There are different reasons for the patient's fear and anxiety preoperatively, as well as the importance of direct and indirect information and other methods. For some patients, however, too much information could cause more fear and anxiety. Conclusion: The importance of the patient's discomfort being highlighted by the healthcare professionals emerges clearly and shows negative experiences in those cases where the patient feels his fears and concerns are not being addressed. More qualitative and quantitative research in the same theme, education and using person-centred care, and the right amount of information based on the patient's wishes are needed to improve the patient's well-being.

axiomFP.py is an open-source software developed to diagnose ploidy level and call quality for samples genotyped on Affymetrix Axiom SNP arrays by making frequency plots of normalized SNP call positions among SNPs meeting specific clustering parameters. This research outlines the methods employed in the development of the software, and presents the results obtained through its application on a dataset of mixed ploidy apple (Malus spp.) cultivars and germplasm accessions. The tools required to prepare the input files and operate the software are also described. The frequency plots generated by the software require a visual inspection to assess ploidy and call quality. The results have been validated using the available ploidy data, as well as flow cytometry, and have shown complete accuracy. The software is available on GitHub at https://github.com/allmiraria/axiomFP.

INTRODUCTION Whole Exome Sequencing (WES) promises to open a new range of personalized treatments due to breaking the limits of former panel-based methods of molecular analysis. While the methodology is well established and already included in clinical practice, data standardization is still lacking and potentially limiting implementation of machine-based data processing due to a lack of syntactic and semantic interoperability. The HL7 FHIR standard provides the mechanisms to retain interoperability while being sufficiently flexible to accommodate semantic concepts. METHODS Based on the clinical WES pipeline for the analysis of cancer tissues of the University Hospital Heidelberg, we created a UML like model and subsequently an Implementation Guide (IG) representing data contained in the molecular pathological report in FHIR considering the work of the HL7 Clinical Genomics Workgroup and extending the specification wherever necessary to be able to represent and persist the data in the FHIR format. RESULTS A FHIR IG is provided as part of this manuscript. To guide development and fully represent a report of molecular findings we defined 7 profiles, 10 ValueSets, 5 CodeSystems, 1 ConceptMap and 34 example resources. This effort marks a starting point for future standardization efforts incorporating WES into clinical practice. CONCLUSION The artifacts presented in this work serve as a blueprint for future standardization efforts. Modern applications, such as digital platforms for Molecular Tumorboards but also data science and machine learning approaches could benefit greatly from semantic integrity and well-established interfaces (API) for molecular reporting, provided by this FHIR IG.

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.

Air pollution, particularly the concentration of particulate matter ($\mathbf{P M}_{\mathbf{1 0}}$), poses significant risks to human health and the environment. In this study, we employed the FB Prophet forecasting model to predict PM10 levels in Sarajevo and applied SHAP to enhance model interpretability. Using historical meteorological data and PM10 concentration records, we evaluated the model’s performance across three prediction horizons: 30, 60, and 90 days ahead. SHAP analysis identified the key meteorological drivers influencing $\mathbf{P M}_{10}$ concentrations. Accurate long-horizon predictions can support timely planning and decision-making, while also enhancing our understanding of air pollution dynamics in Sarajevo and providing valuable guidance for environmental management and public health strategies.

Manipulating deformable objects such as textiles remains a significant challenge in robotics due to their complex dynamics, unpredictable configurations, and high-dimensional state space. In this paper, we present an integrated planning and execution framework for robotic cloth manipulation that combines symbolic task planning, physics-based simulation, and vision-guided real-world control. High-level plans are generated using Planning Domain Definition Language (PDDL) and translated into low-level primitive actions executed on a Franka Emika Panda robot. To enable perceptual grounding, we employ a vision-based pipeline using an adapted CeDiRNet model for cloth corner detection and grasp point estimation. The system is first validated in IsaacSim using a particle-based deformable cloth model and then transferred to a real-world setup with consistent performance. Our results demonstrate successful Sim2Real transfer of high-level plans, enabling reliable execution of folding tasks in both simulated and physical environments.

With the emergence of advanced techniques in the field of artificial intelligence, risk management in the financial sector has undergone significant transformation. This paper proposes a deep learning–based approach for risk modeling using Bidirectional Long Short-Term Memory (BiLSTM) networks, adapted for tabular data by excluding explicit temporal dependencies. The model is tailored to support accurate decision-making in financial risk assessment. One notable component of this study is the use of automated hyperparameter optimization (HPO) methods, which further enhance the model’s overall effectiveness. These tuning strategies yield models that are less complex, faster to train, and capable of adapting to dynamic data environments, making them suitable for integration into automated credit approval systems. The model was evaluated against baseline approaches, demonstrating improved predictive performance across key evaluation metrics, with statistical significance confirmed by McNemar’s test.

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.

In this paper, we analyze the secrecy outage performance of the classical Wyner’s model, where both the legitimate receiver and the eavesdropper experience gamma-shadowed two-wave with diffuse power (GS-TWDP) composite fading. We derive expressions for the lower bound of the secrecy outage probability (SOP) and the probability of strictly positive secrecy capacity (SPSC) in terms of Meijer’s G-function, which can be efficiently implemented in MATLAB® and MATHEMATICA®. The derived expressions are validated through Monte Carlo simulations and used to perform detailed analysis of the impact of shadowing and multipath severity on secrecy outage performance in channels with composite fading.