<p>In the pursuit of sustainable industrial transformation, additive manufacturing has emerged as more than a technological revolution—it represents a new philosophy of production. This paper explores how 3D and 4D printing technologies can serve as key enablers of waste reduction and resource optimization across diverse sectors. By shifting from traditional subtractive methods to digitally controlled additive processes, 3D printing minimizes material loss and energy use through precision, customization, and local production. Going a step further, 4D printing introduces smart, stimuli-responsive materials capable of self-adaptation and regeneration, creating systems that not only reduce waste but actively extend product lifecycles. Through an interdisciplinary lens, the study examines material innovation, eco-design principles, and the integration of artificial intelligence and digital twins for real-time optimization of manufacturing processes. The findings highlight the transformative potential of additive and time-evolving manufacturing in supporting circular economy objectives, Industry 5.0 paradigms, and the broader goals of the European Green Deal. Ultimately, the paper argues that the convergence of digital intelligence and material adaptability offers a tangible pathway toward regenerative, zero-waste production ecosystems. Its originality lies in bridging technological foresight with applied sustainability practice, offering actionable insights for industries and policymakers seeking to redesign value chains through intelligent, resourcepositive manufacturing.</p>
<p>In a period of global social and economic change, the teaching profession in transition countries is undergoing a profound transformation. Teachers of natural sciences and mathematics are particularly affected, as their role becomes crucial in developing the competencies necessary to understand and implement the principles of sustainable development. This paper analyzes the challenges and perspectives of the teaching profession in the context of educational reforms, technological changes, and the demands of the green economy. Using a comparative approach, the research examines the state of teacher education in the fields of natural sciences and mathematics in transition countries, with a special focus on Bosnia and Herzegovina. The results show that it is necessary to redefine teachers’ professional development through innovative pedagogical models, the integration of digital and environmental competencies, and an interdisciplinary approach to teaching. Particular emphasis is placed on strengthening teacher autonomy, continuous professional learning, and institutional support to empower teachers as agents of change within educational systems. The paper concludes that the future of the teaching profession, especially in the fields of natural sciences and mathematics, plays a key role in building a knowledge-based society and supporting a sustainable transition toward a green and inclusive economy.</p>
Background. The coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. A disturbance in the number of white blood cells results from direct damage to cells, primarily lymphocytes, by the SARS-CoV-2 virus. Aim. The work aims to examine the impact of the SARS-CoV-2 virus on the laboratory parameter values in bedridden patients during hospitalization. Results. To determine the impact of COVID-19 infection on laboratory parameter values , the study included 80 respondents hospitalized at the UCC Tuzla Infectious Diseases Clinic from 1.1.2021. - 31.12.2021. year. Among the respondents, 58.75% were men and 41.25% were women. A review of laboratory findings shows that there is a statistically significant difference between erythrocyte values and the time of measurement (P=0.028). At admission, 93.75% of subjects had high C-reactive protein (CRP) values, 87.50% of subjects on day 5 of measurement, and 67.50% of subjects had high values at discharge from the hospital. There was a statistically significant increase in CRP values compared to reference values (P=0.000). There was a statistically significant increase in platelets in subjects measured on admission (11.25% of subjects), on the 5th day of hospital stay (28.75% of subjects), and at discharge (33.75% of subjects) (P=0.000). Conclusion. Given the results obtained, we can conclude about the impact of the SARS-CoV-2 virus on the disruption of laboratory parameter values, especially the decrease in the number of erythrocytes and the increase in ferritin and C-reactive protein.
Background: Refractory atrioventricular nodal reentrant tachycardia (AVNRT) is a rare condition, but poses a clinical challenge after failed standard ablation. Very high-power, short-duration (vHPSD) radiofrequency (RF) ablation has not yet been explored in slow pathway ablation/modification. Case Summary: A 61-year-old woman with recurrent AVNRT despite two prior ablations and multiple antiarrhythmics underwent successful slow pathway ablation using a 90-watt, 4-s vHPSD protocol. CARTO-guided mapping localized the presumed slow pathway, followed by several 90 W applications. Transient second-degree AV block (Wenckebach type) occurred and resolved spontaneously. The patient remained arrhythmia-free at 6-month follow-up. Conclusions: This is the first reported clinical use of 90 W/4 s RF energy for AVNRT. The vHPSD approach may offer an effective alternative for patients with refractory AVNRT.
U radu je predstavljeno do sada neobrađeno djelo pod naslovom Kašf al–ʼasrār bi ḥaqāʼiq al–kitāb wa daqāʼiq al–ṭahāra (Otkrivanje tajni o značenjima riječi knjiga i osobitostima riječi čistoća), koje je u drugoj polovini XVIII stoljeća napisao Muhamed Sin Mustafin Čajničanin (Muḥammad Ibn Muṣṭafā al–Čāyničawī). Ovaj se autor u literaturi spominje kao muderis, sarajevski muftija i autor jednog poznatijeg djela iz logike. Djelo koje je predmet ovog rada, iako registrirano, ranije nije bilo predmet tekstološke analize niti analize sadržaja. U radu su korištena dva rukopisna primjerka ovog djela, od kojih se jedan čuva u rukopisnoj zbirci Gazi Husrev–begove biblioteke u Sarajevu, a drugi u zbirci rukopisa na orijentalnim jezicima Univerzitetske biblioteke „Svetozar Marković“ u Beogradu. Istraživanje obuhvata opis i tekstološku analizu dvaju dostupnih rukopisa, kritičku obradu djela, prijevod i analizu sadržaja s fokusom na analizu genitivne veze kitāb al–ṭahāra, te oblika i značenja njenih članova.
Attributive relative clauses introduced by adverbial relativizers are rarely used in Modern Standard Arabic, and are completely absent in its syntactic description. The intriguing aspect of this type of relative clause lies in the fact that their attributive function is opposed to the main purpose of the use of adverbial relativizers, namely the formation of adverbial clauses. The main task of this paper is the analysis of examples of attributive relative clauses introduced by the adverbial relativizers ḥayṯu, ḥīna, ʻindamā, kamā and munḏu found in works belonging to Modern Standard Arabic. The analysis is based on the analytical–descriptive method and the typological–functional approach, which allow examining of attributive relative clauses introduced by adverbial relativizers from different perspectives. Although the analysis will include exploring syntactic functions of head nouns in main and relative clauses, whereby the relative clause formation strategy using the relative word to encode the syntactic function of head noun in the relative clause is illustrated, this is not the only goal of the paper. The paper also aims to demonstrate that attributive relative clauses introduced by adverbial relativizers, although formally functioning as attributive modifiers, tend to convey diverse semantic content. Moreover, this type of Arabic relative clause is not only an embodiment of the law of linguistic economy but it also represents an exceptionally effective means of stylistic choice.
Introduction: Post-traumatic embitterment syndrome is a pathological reaction to drastic life events and doesnot have the tendency to end. This syndrome also occurs relatively frequently in patients with post-traumatic stress disorder (PTSD).Aim: To investigate post-traumatic embitterment syndrome in patients with post-traumatic stress disorder.Subjects and methods: A cross-sectional study was conducted on a sample of 200 subjects who were participants in the past war. The research group consists of 100 subjects who participated in the war and have a diagnosis of PTSD, and the control group consists of 100 healthy volunteers who were in the war but were not previously diagnosed with PTSD.The study used a sociodemographic questionnaire, a self-assessment questionnaire for post-traumatic embitterment syndrome, and a clinical questionnaire for post-traumatic stress disorder.Results: Subjects with PTSD show a statistically significantly higher level of post-traumatic embitterment syndrome compared to subjects without PTSD. There were no statistically significant differences between the groups that actively and passively participated in the war, between genders, and between the groups with current PTSD and lifetime PTSD.Conclusion: Subjects with PTSD show a statistically significantly higher level of post-traumatic embitterment syndrome compared to subjects without PTSD.
Small intestinal bacterial overgrowth (SIBO) is a major yet underrecognized driver of gastrointestinal morbidity in systemic sclerosis (SSc). Disordered motility, fibrosis, and dysbiosis promote microbial stasis, malabsorption, and malnutrition, contributing substantially to impaired quality of life and survival. Diagnostic accuracy remains limited: jejunal aspirate culture is invasive, whereas breath testing offers only moderate sensitivity and specificity. Empirical antibiotic therapy yields transient symptom relief, but recurrence is common, and evidence guiding optimal eradication strategies is sparse. Adjunctive measures, including probiotics, prokinetics, and dietary interventions, remain variably applied, with heterogeneous outcomes across studies. Novel microbiome-targeted, neuromodulatory, and antifibrotic therapies are emerging as promising mechanism-based options. Bearing this in mind, this narrative review aims to consolidate current knowledge on SIBO eradication in SSc. We first outline the pathophysiological rationale and clinical relevance of bacterial overgrowth. We then synthesize available evidence for treatment strategies, appraise barriers to durable remission, and discuss implications for multidisciplinary management. Finally, we highlight emerging approaches, including microbiome-directed therapies, novel prokinetics, and antifibrotic interventions, and define priorities for future clinical research.
Understanding the impacts of climate on tourism has evolved since the late 20th century, shifting from one-dimensional and partial approaches to more comprehensive and multifaceted ones. To more accurately assess the climatic suitability of destinations for recreational tourism, the Holiday Climate Index (HCI) has been developed in recent years. The HCI's variable rating scale and component weighting system are based on insights into tourists' climatic preferences. Since different types of destinations have distinct climatic requirements, the HCI is designed with specifications for two major tourism segments—urban and beach. The HCI: Urban focuses on urban tourism, where the city and its attractions serve as the primary destination and point of interest. This study analyzes the HCI: Urban for Sarajevo, the most significant tourism destination in Bosnia and Herzegovina. The monthly probability is calculated by determining the frequency of daily index scores within ideal and unacceptable categories. Ideal climatic conditions for urban tourism are defined as days with scores between 90 and 100, while unacceptable conditions are those with scores below 40. Of all tourists visiting Bosnia and Herzegovina in 2023, 41% visited the Sarajevo Canton, which makes it a significant case study. This paper analyzes the HCI: Urban index for Sarajevo in relation to tourist visits throughout the year, and the obtained ratings reflect tourists' climatic preferences for urban destinations. Holiday Climate Index (HCI): Urban was analyzed for the Sarajevo area, the capital of Bosnia and Herzegovina, in order to more accurately assess the climatic suitability of this destination for tourism. The word “holiday” was chosen to better reflect what the index was designed for (i.e. recreational tourism), since tourism is much broader in definition. This paper analyzes the HCI: Urban index for Sarajevo in relation to tourist visits during the year, and the obtained scores reflect tourists' climate preferences for the city destination. Considering that tourists in Sarajevo stay only for a short time (average length of stay 2.1 days), determinants that affect tourist satisfaction and elements of the destination that need to be improved in order to increase the length of stay have been identified. Analysis of average daily values of climatic parameters of a particular destination and monitoring their trend plays an important role in the organization of tourist trips. This research is the first of its kind related to Sarajevo, and understanding local climatic conditions is crucial for developing tourism strategies, planning, and organizing tourism events in the capital of Bosnia and Herzegovina, which is the most visited tourist city in the entire country.
This document presents strategic guidelines and a development framework aimed at enhancing higher education programs in biotechnology within Bosnia and Herzegovina. It emphasizes the importance of aligning academic curricula, research capacities, and innovation ecosystems with global sustainable development goals (SDGs) and emerging scientific trends. Drawing on insights from the 2025 scientific-expert symposium "Next-Generation Biotechnologists – Skills of Future Educators," this work outlines key recommendations for modernizing educational approaches, strengthening interdisciplinary collaboration, and fostering the next generation of biotechnologists equipped to meet societal and technological challenges. The framework is intended for academic institutions, policymakers, and stakeholders committed to advancing biotechnology education and innovation in the region.
<p>This study explores the use of natural plant extracts as a sustainable method to enhance the quality and safety of long-life sausages by incorporating them into natural edible casings. Ethanol (E) and aqueous (A) extracts of blackthorn (BT) and red cherry (RC), as well as their ethanol and water-based solutions, were prepared and analysed for their antioxidant and antimicrobial properties. The analyses included the quantification of total phenols, non-flavonoids, flavonoids, flavonols, and anthocyanins, along with antioxidant activity assessments using FRAP, DPPH, and ABTS assays. Antimicrobial efficacy was tested against Gram-positive and Gram-negative bacteria (<em>Staphylococcus aureus</em>, <em>Bacillus cereus</em>, <em>Escherichia coli</em>, and <em>Salmonella enterica</em>) and mold <em>Penicillium expansum</em> via agar dilution methods to determine MIC and MBC/MFC.</p> <p>Results showed that ethanol extracts had higher antioxidant activity than aqueous ones (p<0.05), with the ethanol extract of blackthorn (EBT) containing the highest levels of phenolics (54.11 mg GAE/g d.e.) and exhibiting the strongest antioxidant, antimicrobial, and antifungal activities. Casings treated with EBTE (ethanol BT extract dissolved in ethanol) demonstrated significant antibacterial properties, particularly against Gram-negative bacteria. This study confirms that plant-extract-enriched natural casings can protect against oxidation and microbial spoilage, thereby enhancing the overall quality and safety of dry-cured sausages. </p>
This study presents an empirical benchmarking comparison of two distinct speech-to-text approaches under identical conditions: the Speech Recognition module, which utilizes the online Google Web Speech API, and the offline Wav2Vec model developed by Facebook AI. Both approaches facilitate the transformation of spoken language into written language, although they demonstrate unique characteristics in terms of reliance on the internet, speed, and precision. This study utilizes the LJ Speech dataset, which contains short audio segments of a single reader supplemented by their corresponding transcriptions. Both examined models acquire text from the identical dataset and subsequently assess its similarity to the texts within the dataset. Our analysis reveals that wav2vec outperforms the speech recognition model in both accuracy and performance, suggesting the use of wav2vec in speech-to-speech implementations.
Simple Summary Eye cancers can damage vision and, in some cases, threaten life. Retinoblastoma mainly affects children, while uveal melanoma is the most common eye cancer in adults. Doctors need better ways to judge how aggressive these tumors are and to find new treatment targets. We examined five proteins that help cells handle nutrients and signals, Megalin, Cubilin, Caveolin-1, GIPC1, and DAB2IP, in normal eye tissue, retinoblastoma, and different forms of choroidal melanoma. Using fluorescent staining, we measured the amount of each protein present, then compared our results with publicly available gene data and patient survival information. Our goal was to learn whether changes in these proteins track with tumor type and outcome. These findings may support the development of future tools for diagnosis, risk prediction, and therapy design in eye cancer.
This paper presents an example of an approach to designing and techno-economic analysis of the feasibility for a battery energy storage system based on data from a real consumer in Bosnia and Herzegovina. Trends in electricity consumption of the considered consumer, as well as real location conditions, were taken into account when designing the system. Analytical deduction and decision-making based on possible business models in the local electricity market are presented. Trends in the analysis and assessment of battery system degradation are developed, and a comparison is made from the economic aspect of the feasibility of the system. Conclusions are drawn regarding the use of the system and guidelines for further research are set.
Driver mutations in IDH1 and IDH2 are initiating events in the evolution of chondrosarcoma and several other cancer types. Here, we present evidence that mutant IDH1 is recurrently lost in metastatic central chondrosarcoma. This may reflect either relaxed positive selection for the mutant IDH1 locus, or negative selection for the hypermethylation phenotype later in tumor evolution. This finding highlights the challenge for therapeutic intervention by mutant IDH1 inhibitors in chondrosarcoma.
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