In multi-attribute group decision-making (MAGDM), the attributes can be placed into independent groups based on their properties through partitioning. First, the partitioned dual Hamy mean (PDHM) operator is introduced, along with its essential properties. This operator integrates these separate groups while preserving the relationships between the attributes within each group. Furthermore, the partitioned Hamy mean (PHM) and the PDHM operators are also constructed in the generalized orthopair fuzzy environment, namely the q-rung orthopair fuzzy PHM (q-ROFPHM), the q-rung orthopair fuzzy PDHM (q-ROFPDHM), and their weighted forms. Their essential properties are verified to ensure the validity of the proposed aggregation operators (AOs). Subsequently, a new MAGDM approach is developed, employing the proposed AOs. The MAGDM problem of selecting the best person is examined. Moreover, the research includes a sensitivity analysis in three directions and a comparative analysis of the proposed MAGDM approach with five different approaches. The findings indicate that applying attribute partitioning in the proposed approach mitigates the adverse impact of irrelevant attributes, leading to more feasible and reliable outcomes. Additionally, a practical case study focuses on selecting a suitable industry for investment among the five available options. This case study demonstrates the approach’s effectiveness by considering five distinct qualities and results that make the Internet industry the best place to invest. Furthermore, a comparative analysis with four similar papers is also performed, indicating that the developed method’s results are more reliable and consistent.

The psychophysical preparation program for pregnant women includes physical exercises and theoretical lectures aimed at preparing the pregnant woman for childbirth and that the benefits far outweigh the risks. Exercise is an essential element of pregnancy, and OB-GYNs and other obstetric care providers should encourage their patients to continue or begin exercise. The aim of this work is to understand the impact of psychophysical preparation of pregnant women on health during and after pregnancy, birth outcomes and postpartum recovery. Twenty scientific research papers/articles including 5517 respondents were reviewed, based on databases: Web of Science, EBSCO, Scopus, Medline, PubMed, ScienceDirect, Google Scholar, and others. Works published from 2017-2022 were reviewed. The results of this study show that pregnant women who attended the program of psychophysical preparation for childbirth had a chance to experience childbirth in a more beautiful light, to be prepared, so that they would go to the maternity hospital with less fear, how to use breathing techniques during childbirth, and how to have the easiest and most beautiful childbirth without the use of drugs and interventions. Pregnant women had significantly more positive outcomes of childbirth as well as postpartum recovery and mental health. Psychological support and education have positive outcomes on the mental health of pregnant women because they reduce fear of the unknown and reduce the risk of postpartum depression. Higher rates of intact perineum, reduction of episiotomy and less damage of perineal tears are recorded. The preparation itself significantly affects the outcome of the test subjects’ births, where vaginal births are much more common, and the rate of instrumental methods of birth and caesarean section is reduced. A positive outcome was recorded during postpartum recovery.

In this paper, a novel method for the double heat treatment of ductile iron was applied. Ten sets of specimens (three specimens in each set) of ductile cast iron (DCI) containing 0.51% wt. Cu were prepared and converted to austenitic ductile iron. All specimens were austenitized at 850 °C for 60 min and annealed at 420 °C, 331 °C and 250 °C for 120, 68 and 30 min, respectively. Five sets of samples were then annealed at 500 °C for 60 min, creating a novel double heat treatment process for annealing. Finally, all specimens were slowly cooled in air at ambient temperature. Tensile strength, hardness and elongation were measured in all specimens to compare the specimens with and without subsequent tempering. A microstructural analysis was also performed, which showed that the microstructure changed for the specimens that were subsequently tempered with. The results show that specimens with subsequent tempering have slightly higher hardness, a small decrease in tensile strength and significantly higher elongation. In addition, specimens with subsequent tempering exhibit more uniform mechanical properties compared to specimens without subsequent tempering. The use of neutron beam techniques was proposed to further characterize the newly formed microstructure after subsequent tempering.

Contemporary neighborhood livability differs across countries due to implementation of sustainable policies within the building sector. This paper aims to showcase these differences among Germany, Croatia, and Bosnia and Herzegovina through a comparative case study analysis of two contemporary housing developments from each country. Representative neighborhoods from the aforementioned countries that were selected for analysis were located in Munich, Rijeka, and Sarajevo. The residential environment livability analysis method was used in order to pinpoint and compare results of each of these cases, and to assess their livability. The highest number of livability criteria among analyzed cases were found in Munich, while the lowest were found in Sarajevo. The conclusion is that this is happening due to German authorities actually implementing sustainable building standards in housing development prescribed by sustainability policies, while the authorities of Bosnia and Herzegovina completely, and Croatian authorities partially, go around these policies and bend to the will of investors, regulating residential urban development to the detriment of end users.

BACKGROUND: The ADAMTS7 locus was genome-wide significantly associated with coronary artery disease. Lack of the ECM (extracellular matrix) protease ADAMTS-7 (A disintegrin and metalloproteinase-7) was shown to reduce atherosclerotic plaque formation. Here, we sought to identify molecular mechanisms and downstream targets of ADAMTS-7 mediating the risk of atherosclerosis. METHODS: Targets of ADAMTS-7 were identified by high-resolution mass spectrometry of atherosclerotic plaques from Apoe−/− and Apoe−/−Adamts7−/− mice. ECM proteins were identified using solubility profiling. Putative targets were validated using immunofluorescence, in vitro degradation assays, coimmunoprecipitation, and Förster resonance energy transfer–based protein-protein interaction assays. ADAMTS7 expression was measured in fibrous caps of human carotid artery plaques. RESULTS: In humans, ADAMTS7 expression was higher in caps of unstable as compared to stable carotid plaques. Compared to Apoe−/− mice, atherosclerotic aortas of Apoe−/− mice lacking Adamts-7 (Apoe−/−Adamts7−/−) contained higher protein levels of Timp-1 (tissue inhibitor of metalloprotease-1). In coimmunoprecipitation experiments, the catalytic domain of ADAMTS-7 bound to TIMP-1, which was degraded in the presence of ADAMTS-7 in vitro. ADAMTS-7 reduced the inhibitory capacity of TIMP-1 at its canonical target MMP-9 (matrix metalloprotease-9). As a downstream mechanism, we investigated collagen content in plaques of Apoe−/− and Apoe−/−Adamts7−/− mice after a Western diet. Picrosirius red staining of the aortic root revealed less collagen as a readout of higher MMP-9 activity in Apoe−/− as compared to Apoe−/− Adamts7−/− mice. To facilitate high-throughput screening for ADAMTS-7 inhibitors with the aim of decreasing TIMP-1 degradation, we designed a Förster resonance energy transfer–based assay targeting the ADAMTS-7 catalytic site. CONCLUSIONS: ADAMTS-7, which is induced in unstable atherosclerotic plaques, decreases TIMP-1 stability reducing its inhibitory effect on MMP-9, which is known to promote collagen degradation and is likewise associated with coronary artery disease. Disrupting the interaction of ADAMTS-7 and TIMP-1 might be a strategy to increase collagen content and plaque stability for the reduction of atherosclerosis-related events.

The growing awareness of environmental sustain-ability has led to new investments in the field of electric vehicles. One of the most expensive and important components of electric vehicles are their batteries, with battery management systems (BMS) being responsible for their control. New regulations, such as those of the European Union, aim to introduce battery passports as a way to track battery lifecycle from manufacturing, over second-life use, to recycling. Given the vast amount of data generated during the lifecycle of a battery, the current research is focused on combining BMS with cloud connectivity. However, not much research has yet been done in the area of BMS cloud security and secure data logging. To address this gap, we propose a novel solution for secure BMS data acquisition for on-premise and cloud environments. In this paper, we make two main contributions: a secure data structure for BMS logging and a secure architecture for transferring BMS data from its source to cloud and end systems. We demonstrate the feasibility of the design by developing a prototype with real components and evaluate it in terms of security and performance.

Abstract Migration’s impact spans various social dimensions, including demography, sustainability, politics, economy, and gender disparities. Yet, the decision-making process behind migrants choosing their destination remains elusive. Existing models primarily rely on population size and travel distance to explain the spatial patterns of migration flows, overlooking significant population heterogeneities. Paradoxically, migrants often travel long distances and to smaller destinations if their diaspora is present in those locations. To address this gap, we propose the diaspora model of migration, incorporating intensity (the number of people moving to a country), and assortativity (the destination within the country). Our model considers only the existing diaspora sizes in the destination country, influencing the probability of migrants selecting a specific residence. Despite its simplicity, our model accurately reproduces the observed stable flow and distribution of migration in Austria (postal code level) and US metropolitan areas, yielding precise estimates of migrant inflow at various geographic scales. Given the increase in international migrations, this study enlightens our understanding of migration flow heterogeneities, helping design more inclusive, integrated cities.

Hardware channel emulators are essential for developing and testing transceiver prototypes in laboratory settings. They should be able to monitor the dynamic motion of the mobile terminal. This paper presents a narrowband Multiple-Input Multiple-Output (MIMO) channel emulator implemented on Field-Programmable Gate Array (FPGA). The proposed emulator is based on Non-Line-of-Sight (NLoS) non-isotropic scattering with arbitrary motion dynamics of the mobile terminal. Its standalone hardware architecture ensures the flexibility and scalability of further hardware realization. Our proposed emulator is validated by comparing the emulated statistics of the channel gain against simulated results under a circular antenna trajectory. The Probability Density Function (PDF) of the fading envelope is observed to perfectly match the theoretical Rayleigh distribution(stationary channel) and the auto-correlation function(non-isotropic scattering) also shows a close agreement. The successful alignment of the eigenvalue of the channel gain matrix indicates our proposed emulator can perform correct MIMO characteristics.

This paper considers an application of deep learning for channel estimation with imperfect frame synchronization in mobile communication systems. Without prior knowledge of the channel model and its characteristics, the proposed method can dynamically estimate and track channel transfer function variations based on received pilot symbols. Furthermore, this method is applicable in practical scenarios, as it considers imperfect frame synchronization and channel estimation for high-speed wireless communication scenarios. The performance and practical feasibility of the deep learning (DL)-based models are assessed by taking into account realistic frequency-selective fading scenarios. Numerical results demonstrate that the proposed method performs better for practical signal-to-noise ratios than the state-of-the-art approaches. In addition, the fine frame offsets are estimated and compensated in the synchronization block with a DL-based algorithm, which outperforms the traditional fine frame synchronization algorithms.

The deep energy method (DEM), a type of physics-informed neural network, is evolving as an alternative to finite element analysis. It employs the principle of minimum potential energy to predict an object’s behavior under various boundary conditions. However, the model’s accuracy is contingent upon choosing the appropriate architecture for the model, which can be challenging due to the high interactions between hyperparameters, large search space, difficulty in identifying objective functions, and non-convex relationships with the objective functions. To improve DEM’s accuracy, we first introduce random Fourier feature (RFF) mapping. RFF mapping helps during the model’s training by reducing bias toward high frequencies. The effects of six hyperparameters are then studied under static compression, tension, and bending loads in planar linear elasticity. Based on this study, a systematic automated hyperparameter optimization approach is proposed. Due to the high interaction between hyperparameters and the non-convex nature of the optimization problem, Bayesian optimization algorithms are used. The models trained using optimized hyperparameters and having Fourier feature mapping can accurately predict deflections compared to finite element analysis. Additionally, the deflections obtained for tension and compression load cases are more sensitive to variations in hyperparameters than bending.

Historical examples show and confirm the continued disenfranchisement of people with disabilities in all areas. In this regard, it is not a particularly different situation in the field of media representation of this marginalized group. A low level of awareness and knowledge about disability contributes to people with disabilities directly or indirectly discriminating, marginalizing, and at the same time creating unfounded attitudes, stereotypes, and stigma about them. Starting from the above, the text analyzes the current media presentation of persons with disabilities in Bosnia and Herzegovina. The analysis included printed, more precisely the content of daily editions of Dnevni avaz newspaper in the period from April 1 to May 4, 2023, in which, in the analyzed period, a total of nine (9) topics were published. The contents of electronic media (Federal Television, Radio Federation of Bosnia and Herzegovina, Radio-Television of Republika Srpska, Radio-Television of Republika Srpska, Radio Republika Srpska) were also analyzed, and on which, in the period from 08 to 22 May 2023, nine (9) topics that directly or indirectly concern people with disabilities were presented in news shows. The research aimed to point out the inadequate approach to reporting on disability more precisely to point out that people with disabilities and topics important to them are marginalized in media content in Bosnia and Herzegovina, and that they do not reflect the real-life conditions of members of that population.

The fundamental purpose of education is to make people aware and to encourage them to freely and responsibly improve themselves. The first step of (self) shaping a person goes through the family, which has a significant role in mediating general human values, especially those of the highest natural values - morals. This work aims to examine students' perspectives on the role of the family in the transmission/mediation of moral values. The research participants are students of the first and second cycle of the Department of Pedagogy at the Faculty of Philosophy of the University of Sarajevo (N=100). Analyzing their perspective and life experience, we obtained results that indicate a high degree of concordance between the framework of pedagogical understandings of morality and how moral values are transmission/mediated in their families of orientation. Also, the results show that frequent family conversations are the basis for building moral knowledge, beliefs, behavior, and actions in children and youth.

This paper will problematize a teaching methodological approach to the novel Skretnice, in which the students’ communication competencies are put in the foreground. This paper tries to show how interpretation still occupies a special position in the modern teaching methodology of teaching literature by connecting the modern teaching methodological models and students’ needs. In the process of the teaching methodological processing of the novel Skretnice by Jasmina Musabegović, we try to combine the elements of various methodical approaches: interpretation, a problematic, open teaching methodological approach. The goal is to elaborate a reading strategy and development of language skills/competencies: reading, speaking, listening and writing. The novel will be set as a literary template in the function of developing fundamental students’ competencies, in which a teaching methodological interpretation of the novel will be further developed. We will direct the students’ activities towards independent reading, research and writing about the topics and problems raised by the novel and its openness for cross-subject correlations.

This paper uses examples of essay interpretations by Enes Duraković, who are at the very top of Bosnian and Herzegovinian literary critical thought, to show how this literary and scientific genre can be actualized in literature teaching. Essay interpretations by Enes Duraković, especially one of the most significant Bosnian and Herzegovinian poets, can be a good incentive for pupils and students to develop basic communication skills, reading habits and abilities, as well as an example for practicing essay expression. The paper points to the well-known facts that the essay is a neglected literary and scientific genre in literature teaching. The essay is a hybrid genre, located between the subjective literary and artistic and scientific fields. It is precisely such a poetic character that enables the representation of essays in various methodological approaches, from analytical-interpretative to more complex methodological systems: problem-based, correlation-integration and open approach. Using the examples of Duraković’s essay-interpretative approach to the poetry of Muse Ćazim Ćatić, Skender Kulenović, Mako Dizdar, we will show how an essay can be a good motivation for reading literary texts, in reading lessons, and as an introduction to a lesson about a writer or literary historical period.