AbstractEducation plays a key role in the development of human civilisation. Learning and teaching methods are still evolving and undergoing numerous changes as a result of scientific knowledge and revolutionary ideas of stakeholders in the education system, and the development of advanced technologies. We are all familiar with traditional ways of learning wherein educational process is conducted in such a way that the focus is primarily on content. Jan Amos Komensky, the alpha and omega of education science, laid out the class-subject-lesson traditional education system and designed, as early as the 17th century, the school as an institution capable of meeting the mass educational demands of the time. Because these traditional methods use repetition and memorisation of information as the principal means of acquiring knowledge, students are unable to develop their critical thinking, problem-solving and decision-making skills. In the 21st century, teaching should be focused on the effective cooperation between teachers and students who are actively participating in the teaching process, because such an approach ensures the training of innovative individuals who go on to become qualified professionals and responsible citizens, thus creating a more affluent and safer society in general. This paper provides an overview of the important characteristics of modern schools, as well as some modern teaching strategies. Keywords: modern teaching strategies, quality of teaching, teaching--- SažetakObrazovanje ima ključnu ulogu u razvoju ljudske civilizacije. Metode učenja i poučavanja još uvijek se neprestano razvijaju i prolaze kroz brojne promjene zahvaljujući znanstvenim spoznajama, revolucionarnim idejama osoba uključenih u obrazovni sustav kao i razvoju naprednih tehnologija. Svi smo dobro upoznati s tradicionalnim načinima učenja u kojima se obrazovanje provodi tako da je fokus usmjeren na sadržaj. Jan Amos Komensky, alfa i omega pedagoške znanosti, tvorac razredno-predmetno-satnoga tradicionalnog sustava obrazovanja, već je u 17. stoljeću osmislio školu kao instituciju primjerenu zahtjevima tadašnjega vremena za masovnim obrazovanjem. Budući da te tradicionalne metode koriste ponavljanje i pamćenje informacija kao temeljni način stjecanja znanja, učenici ne razvijaju svoje kritičko razmišljanje, vještine rješavanja problema i donošenja odluka. Nastava u 21. stoljeću treba biti usmjerena na učinkovitu suradnju nastavnika i učenika koji su aktivno uključeni u nastavni proces jer takav pristup osigurava osposobljavanje inovativnih pojedinaca koji postaju kvalitetni stručnjaci i odgovorni građani te na takav način stvaraju bogatije i sigurnije društvo u cjelini. U ovom radu dan je pregled bitnih obilježja suvremene škole, kao i nekih suvremenih nastavnih strategija.Ključne riječi: kvaliteta nastave, nastava, suvremene nastavne strategije 

Abstract Unfounded—conspiracy and health—beliefs about COVID-19 have accompanied the pandemic worldwide. Here, we examined cross-nationally the structure and correlates of these beliefs with an 8-item scale, using a multigroup confirmatory factor analysis. We obtained a two-factor model of unfounded (conspiracy and health) beliefs with good internal structure (average CFI = 0.98, RMSEA = 0.05, SRMR = 0.04), but a high correlation between the two factors (average latent factor correlation = 0.57). This model was replicable across 50 countries (total N = 13,579), as evidenced by metric invariance between countries (CFI = 0.96, RMSEA = 0.06, SRMS = 0.07) as well as scalar invariance across genders (CFI = 0.98, RMSEA = 0.04, SRMS = 0.03) and educational levels (CFI = 0.98, RMSEA = 0.04, SRMS = 0.03). Also, lower levels of education, more fear of COVID-19, and more cynicism were weakly associated with stronger conspiracy and health beliefs. The study contributes to knowledge about the structure of unfounded beliefs, and reveals the potential relevance of affective (i.e., fear of COVID-19) and cognitive (i.e., cynicism) factors along with demographics, in endorsing such beliefs. In summary, we obtained cross-cultural evidence for the distinctiveness of unfounded conspiracy and health beliefs about COVID-19 in terms of their structure and correlates.

The sustainable development of mountain tourism is crucial for preserving the delicate ecosystems and resources found in these unique landscapes. This research paper investigates the sustainability of mountain lodges, which serve as essential facilities for delivering mountain tourism services. To assess sustainability, expert decision making involving eight selected experts was employed. A hybrid approach combining the IMF SWARA (IMproved Fuzzy Step-wise Weight Assessment Ratio Analysis) method with Fuzzy Dombi Aggregation Operators was utilized to determine the weights of various sustainability criteria. The IMF SWARA method assigned initial weights based on expert input, which were subsequently adjusted using Fuzzy Dombi Aggregation Operators. The findings highlight the significance of two key criteria as per expert evaluations: the quality of the services offered (C21) and the preservation of natural resources (C15). To rank and evaluate the mountain lodges, the fuzzy CRADIS (Compromise Ranking of Alternatives from Distance to Ideal Solution) method was employed, ultimately identifying Zabrana (ML6) as the top-ranked mountain lodge. The validity of these results was confirmed through result validation and sensitivity analysis. This research contributes by providing insights into the current state of mountain tourism and offering guidelines for enhancing the overall mountain tourism experience through the integration of fuzzy methods.

Topoelectrical circuits are meta-material realizations of topological features of condensed matter systems. In this work, we discuss experimental methods that allow a fast and straightforward detection of the spectral features of these systems from the two-point impedance of the circuit. This allows to deduce the full spectrum of a topoelectrical circuit consisting of N sites from a single two-point measurement of the frequency resolved impedance. In contrast, the standard methods rely on $N^2$ measurements of admittance matrix elements with a subsequent diagonalization on a computer. We experimentally test our approach by constructing a Fibonacci topoelectrical circuit. Although the spectrum of this chain is fractal, i.e., more complex than the spectra of periodic systems, our approach is successful in recovering its eigenvalues. Our work promotes the topoelectrical circuits as an ideal platform to measure spectral properties of various (quasi)crystalline systems.

Human life and body represent social values that have always been and remain the subject of criminal law protection. Precisely, the authors in the first part of the work point to the incrimination of the crime of murder throughout the historical era of Serbia and the neighboring countries, and also that the life and body of members of certain social classes were not subject to criminal law protection, and in certain eras the criminal law protection of life and body was not provided equally to every person. The continuous development of society and changes in all spheres led to the need for more and more contact between people, and their relationships led to various conflicts and the desire to be resolved at their own discretion. The second part of the work deals with conflict situations that led to mutual attacks in order to resolve the situations that ended with an attack and endangering the physical integrity of people. Thus, when studying the criminal offense of murder, which is one of the classics, perhaps even the oldest criminal offense which has already been discussed so much from a theoretical point of view and, at first glance, it seems that everything has already been said, there are still a lot of disputed questions that need to be discussed, in a theoretical, criminological sense, as well as to clarify the problems that arise in judicial practice. Some research indicates that a high percentage (even over 80 percent) of perpetrators of criminal acts would not have started committing criminal acts if they had known for sure that they would be discovered as perpetrators of the same. Research data indicate that violence in Serbia has increased by 74%. The third part of the work deals with the incrimination of the most serious criminal offense from the aspect of modern and international criminal law, as well as their recommendations for the purpose of prevention and repression.

Attacks by dogs, primarily stray dogs, are a very common problem faced by both underdeveloped and developed local goverments. The damage caused by attacks from stray dogs has multiple, and often long-lasting, harmful consequences for their victims, which are also reflected on members of their families. This manuscript provides a veterinary-epidemiological definition of the concept of dogs, as well as their legal definition in the context of „dangerous things“, and the psychological aspect that is regularly manifested in victims. Analyzing the legislation of Bosnia and Herzegovina, with a comparative presentation of the regulations of the EU member states, systematic overviews and answers are given, which are important for the improvement of existing regulations and harmonization of law and jurisprudence.

Background and Objectives: Cranial defects pose significant challenges in low and middle-income countries (LIMCs), necessitating innovative and cost-effective craniofacial reconstruction strategies. The purpose of this study was to present the Bosnia and Herzegovina model, showcasing the potential of a multidisciplinary team and 3D-based technologies, particularly PMMA implants, to address cranial defects in a resource-limited setting. Materials and Methods: An observational, non-experimental prospective investigation involved three cases of cranioplasty at the Department of Neurosurgery, Cantonal Hospital Zenica, Bosnia and Herzegovina, between 2019 and 2023. The technical process included 3D imaging and modeling with MIMICS software (version 10.01), 3D printing of the prototype, mold construction and intraoperative modification for precise implant fitting. Results: The Bosnia and Herzegovina model demonstrated successful outcomes in cranioplasty, with PMMA implants proving cost-effective and efficient in addressing cranial defects. Intraoperative modification contributed to reduced costs and potential complications, while the multidisciplinary approach and 3D-based technologies facilitated accurate reconstruction. Conclusions: The Bosnia and Herzegovina model showcases a cost-effective and efficient approach for craniofacial reconstruction in LIMICs. Collaborative efforts, 3D-based technologies, and PMMA implants contribute to successful outcomes. Further research is needed to validate sustained benefits and enhance craniofacial reconstruction strategies in resource-constrained settings.

To continue downscaling transistors, new materials must be explored. Two-dimensional (2D) materials are appealing due to their thinness and bandgap. The relatively weak van der Waals forces between layers in 2D materials allow easy exfoliation and device fabrication but also result in poor heat transfer between layers and to the substrate, which is the main path for heat removal, resulting in self-heating and thermal degradation of mobility. This study explores the electrothermal properties of five popular 2D materials (MoS2, MoSe2, WS2, WSe2, and 2D black phosphorous). We simulate various devices with self-heating with a range of gate and drain biases and examine the effects on mobility and change in device temperature. The effects are compared to the isothermal case to ascertain the impact of self-heating. We observe that Joule heating has a significant effect on temperature rise, layerwise drain current, and effective mobility. We show that black phosphorous performs the best thermally, owing to its relatively high thermal conductance to the substrate, while WSe2 performs the best electrically. This study will inform future thermally aware designs of nanoelectronic devices based on 2D materials.

In recent years, more and more attention has been paid to the behavior of tourists and their intention to choose a destination based on various factors. The goal of this research was to determine to what extent environmental risks and the attractiveness of the destination influence the choice of destination and the behavior of tourists. Furthermore, the goal was to determine the influence of psychological groups of tourists on their decision to choose a tourist destination using three psychographic techniques: BFI-10 (Big Five Inventories), AIO (Activities, Interests, and Opinions), and VALS 2 (Values and Lifestyle), and a freely determined six-level scale of risk and tourist attractiveness of imagined destinations. Analyzing the results obtained through the structural modeling-path analysis model, it was determined that tourists grouped in almost all psychographic orientations, resulting from lifestyles, negatively perceive destinations with a high degree of risk and attractiveness, while, with the VALS 2 technique, only members of the action orientation tend to accept ecologically risky destinations. Despite the fact that many studies have looked at how tourists perceive various risks and behave, it is still uncommon to use an integrated approach that considers the simultaneous application of several psychological tests and a unique method of gathering responses from travelers by presenting them with descriptively imagined destinations that differ in their levels of environmental risk and tourist appeal. As a result, this study can provide a conceptual framework for theoretical and practical implications for improved risk management strategies in a specific travel destination and in areas vulnerable to environmental hazards, as well as for completing knowledge about traveler behavior in risky destinations.

The process of fish cage inspections, which is a necessary maintenance task at any fish farm, be it small-scale or industrial, is a task that has the potential to be fully automated. Replacing trained divers who perform regular inspections with autonomous marine vehicles would lower the costs of manpower and remove the risks associated with humans performing underwater inspections. Achieving such a level of autonomy implies developing an image processing algorithm that is capable of estimating the state of biofouling buildup. The aim of this work is to propose a complete solution for automating the said inspection process; from developing an autonomous control algorithm for an ROV, to automatically segmenting images of fish cages, and accurately estimating the state of biofouling. The first part is achieved by modifying a commercially available ROV with an acoustic SBL positioning system and developing a closed-loop control system. The second part is realized by implementing a proposed biofouling estimation framework, which relies on AI to perform image segmentation, and by processing images using established computer vision methods to obtain a rough estimate of the distance of the ROV from the fish cage. This also involved developing a labeling tool in order to create a dataset of images for the neural network performing the semantic segmentation to be trained on. The experimental results show the viability of using an ROV fitted with an acoustic transponder for autonomous missions, and demonstrate the biofouling estimation framework’s ability to provide accurate assessments, alongside satisfactory distance estimation capabilities. In conclusion, the achieved biofouling estimation accuracy showcases clear potential for use in the aquaculture industry.

The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and prognostic applications targeting a wide range of disorders, which could substantially improve healthcare practices in the era of precision medicine. However, several challenges must be addressed to exploit the benefits of ML in this field fully. In particular, there is a need to establish “gold standard” protocols for conducting ML analysis experiments and improve interactions between microbiome researchers and ML experts. The Machine Learning Techniques in Human Microbiome Studies (ML4Microbiome) COST Action CA18131 is a European network established in 2019 to promote collaboration between discovery-oriented microbiome researchers and data-driven ML experts to optimize and standardize ML approaches for microbiome analysis. This perspective paper presents the key achievements of ML4Microbiome, which include identifying predictive and discriminatory ‘omics’ features, improving repeatability and comparability, developing automation procedures, and defining priority areas for the novel development of ML methods targeting the microbiome. The insights gained from ML4Microbiome will help to maximize the potential of ML in microbiome research and pave the way for new and improved healthcare practices.

G protein-coupled receptors are among the most widely studied classes of drug targets. A major challenge in this field is to develop ligands that will selectively modulate a single receptor subtype to overcome the disadvantages of undesired “off target” effects caused by lack of target and thus signaling specificity. In the current study, we explored ligand design for the melanocortin 4 receptor (MC4R) since it is an attractive target for developing antiobesity drugs. Endogenously, the receptor is activated by peptide ligands, i.e., three melanocyte-stimulating hormones (α-MSH, β-MSH, and γ-MSH) and by adrenocorticotropic hormone. Therefore, we utilized a peptide drug design approach, utilizing “molecular grafting” of pharmacophore peptide sequence motifs onto a stable nature-derived peptide scaffold. Specifically, protegrin-4-like-peptide-1 (Pr4LP1) and arenicin-1-like-peptide-1 (Ar3LP1) fully activated MC4R in a functional cAMP assay with potencies of 3.7 and 1.0 nM, respectively. In a nanoluciferase complementation assay with less signal amplification, the designed peptides fully recruited mini-Gs with subnanomolar and nanomolar potencies. Interestingly, these novel peptide MC4R ligands recruited β-arrestin-2 with ∼2-fold greater efficacies and ∼20-fold increased potencies as compared to the endogenous α-MSH. The peptides were inactive at related MC1R and MC3R in a cAMP accumulation assay. These findings highlight the applicability of animal-derived disulfide-rich scaffolds to design pathway and subtype selective MC4R pharmacological probes. In the future, this approach could be exploited to develop functionally selective ligands that could offer safer and more effective obesity drugs.

ABSTRACT Introduction Antimicrobial resistance (AMR) is a global concern. Currently, the greatest mortality due to AMR is in Africa. A key driver continues to be high levels of dispensing of antibiotics without a prescription. Areas covered A need to document current rates of dispensing, their rationale and potential ways forward including antimicrobial stewardship programmes (ASPs). A narrative review was undertaken. The highest rates of antibiotic purchasing were in Eritrea (up to 89.2% of antibiotics dispensed), Ethiopia (up to 87.9%), Nigeria (up to 86.5%), Tanzania (up to 92.3%) and Zambia (up to 100% of pharmacies dispensing antibiotics without a prescription). However, considerable variation was seen with no dispensing in a minority of countries and situations. Key drivers of self-purchasing included high co-payment levels for physician consultations and antibiotic costs, travel costs, convenience of pharmacies, patient requests, limited knowledge of antibiotics and AMR and weak enforcement. ASPs have been introduced in some African countries along with quality targets to reduce inappropriate dispensing, centering on educating pharmacists and patients. Expert Opinion ASP activities need accelerating among community pharmacies alongside quality targets, with greater monitoring of pharmacists’ activities to reduce inappropriate dispensing. Such activities, alongside educating patients and healthcare professionals, should enhance appropriate dispensing of antibiotics and reduce AMR.