bluuebunny/crossref_metadata_2025 huggingface dataset:
Baroque (the mid-16th to mid-18th centuries): Collisions of contrasts. Essay 2
Authors: Demchenko Aleksandr Ivanovich
Published: January 2025

This work is a continuation of the publication: Demchenko A. I. Baroque (the mid-16th to mid-18th centuries): Collisions of contrasts. Essay 1 // Pan-Art. 2024. Vol. 4. Iss. 4. The essay systematically reveals the key contrasts and antitheses characteristic of the Baroque era. In this part, the author draws attention to the Baroque temperament, in particular, its characteristic inclination towards hyperbolization. The opposition and “cooperation” of the Baroque style with classicism and realism, as well as “the grand style” that emerged at the intersection of Baroque and classicism, receive separate consideration. The essay also highlights the common aspects of the artistic world of the Baroque epoch: conceptualism, the reproduction of life of a great mass of people, a sense of a large space, problematicity, a deep comprehension of human nature, the creation of “eternal images”, the evolution of opera, and Baroque humanism.
Value-semantic foundations of the system of training future teachers of historical regions of the Russian Federation (by the example of the Azov State Pedagogical University)
Authors: Litvyakova Natalia Vasilyevna , Torovets Evgenia Alexandrovna
Published: January 2025

The purpose of the study is to identify the value-semantic foundations of the training of future teachers and describe the experience of introducing these foundations into the practice of educational activities of one of the pedagogical universities of the historical regions of the Russian Federation. The article analyzes the regulatory framework for the formation of the value-semantic foundations of the training of future teachers, scientific research in this area of pedagogical work and the structural characteristics of the personal and professional values of teaching staff. The scientific novelty of the research consists in substantiating the content of activities aimed at introducing a value-based approach into the system of training future teachers of the Donetsk and Lugansk People's Republics, Zaporizhia and Kherson regions. As a result, the normative and legal framework of the spiritual and moral education of student youth is analyzed; the theoretical aspects of the formation of value-semantic orientations of the teacher's personality are studied; the value-semantic foundations of the system of training future teachers in modern conditions are identified; and the relevant experience of one of the pedagogical universities of historical regions is described.
The value bases of professional training of future teachers of Russian language and literature
Authors: Mudraya Maria Vadimovna , Chervenko Oksana Borisovna , Zubatenko Margarita Aleksandrovna
Published: January 2025

The purpose of the study is to identify the teacher’s priority values and ways to form them in the process of studying at the university for future teachers of Russian language and literature. The scientific novelty of the research lies in an integrated approach to solving the problem of forming the value foundations of professional training for undergraduate students in the specialty 44.03.05 Pedagogical education (with two training profiles), profiles “Russian language”, “Literature”, within the framework of the axiological direction in teaching the Russian language, which includes a wide range of opportunities to work with folklore texts, contributing to the formation of a system of traditional values and professional competencies of future teachers. Through a qualitative and quantitative analysis of the results of the survey of future language teachers, the most relevant values of a modern teacher have been identified, and the importance of each category of values has been established, taking into account the statistical indicators of students’ choice of each course of study. The research has shown that a systematic approach to the formation of the value foundations of students’ professional training and a comprehensive solution to the current problems of methodological support for future teachers of Russian language and literature are necessary conditions for the successful development of the modern educational space of the Russian Federation.
Can Creativity Explain Economic Complexity?
Authors: Moreno Justo De Jorge
Published: January 2025

As the economy has advanced, production has become more complex and economics has reckoned the importance of economic complexity on the growth and economic development. Economic complexity depends on the knowledge basis of each country, but few more is known on the reasons of the difference of those differences. In this paper we propose that the literature on creativity can help to understand this issue, since we test that creativity and economic complexity are positively associated with data of the indexes of Economic Complexity and Creativity developed
From Traditional Hands-On Laboratories to Virtual Reality Lab Environment: Review on Lab Teaching Technologies to Frost Learning Outcome and Mitigate the Negative Impact of the COVID-19 Pandemic
Authors: Elkhatat Ahmed M
Published: January 2025

Engineering education cannot be performed without practicing in laboratories, as the prime objective of engineering education is to gear students up for practicing engineering. A traditional teaching laboratory is a place where engineering instructions and hands-on practice take place. However, since the early spring of 2020, the coronavirus COVID-19 outbreak has hindered face-to-face teaching as well as traditional hands-on laboratories. This pandemic forces universities to migrate from the traditional way of education to an online approach. Despite some concerns about the quality of substitutional approaches compared to conventional hands-on Labs, studies show that these types of laborites simulate critical thinking and lead to higher learning outcomes. This work reviews the important role of experimental laboratories in engineering education. It highlights the innovations in lab teaching, and how remote and virtual labs influence engineering education and mitigate the impact of pandemic COVID-19 on higher education outcomes
Big Investments, No Electoral Reward: The Inflation Reduction Act, Low-Carbon Investments, and the 2024 US Presidential Election
Authors: Møller Karl Magnus
Published: January 2025

The Inflation Reduction Act is one of the most prominent cases of green industrial policy. It was motivated by a strategic intention of increasing popular support for both climate policy and the Democratic party. Since its passage in August 2022, large private-sector investments in low-carbon manufacturing have been announced in many electorally pivotal areas in the United States. The expectation that these spatially concentrated benefits would boost local support for the pro-climate incumbent party – the Democrats – is supported by political science theories of local economic voting, mass feedback effects, and climate policy sequencing. Using propensity score matching and a difference-in-differences design, I estimate the causal effect of these announced low-carbon investments on the county-level two-party vote share of the Democratic party in the 2024 presidential election. I identify a substantially negligible and statistically insignificant positive effect (β = 0.153, 95% CI = [-0.100;0.405]) that is stable across various robustness checks. Given the most-likely nature of this case, my findings raise more general questions about the ability of green industrial policies to generate short-term electoral rewards and hereby challenge a core motivation for this increasingly prevalent climate policy strategy.
AI Literacy Under the AI Act: Tracing the Evolution of a Weakened Norm
Authors: Paolini e Silva Manuela , Tamo-Larrieux Aurelia , Ammann Odile
Published: January 2025

The European Artificial Intelligence (AI) Act introduces a provision on AI literacy in its Article 4. This concept aligns with broader efforts of the European Union (EU) to enhance workforce competencies in response to emerging technologies. Initially introduced in June 2023, the provision on AI literacy was conceived as a comprehensive obligation for the Union, its Member States, and for providers and deployers of AI systems. However, its original scope was significantly pared down during the final trilogue negotiations. In this article, we examine the legislative background and evolution of AI literacy in the EU AI Act. We elaborate on the implications of the changes during the policy discussions, highlighting some concerns about the amendments that occurred and the provision's efficacy in implementation. We further contribute to the literature by exploring potential reasons for these changes, including efforts to minimize administrative burdens and the influence of Big Tech lobbying.
On the Definition of an Independent Stochastic Model for InSAR Time Series
Authors: Brouwer Wietske , Hanssen Ramon
Published: January 2025

InSAR enables the estimation of displacements of (objects on) the Earth’s surface. To provide reliable estimates, both an independent stochastic and functional model are re- quired. However, the intrinsic problem of InSAR is that both are unknown. Here we propose an independent definition of the stochastic model, via an approximation scheme for the variance- covariance matrix for double-differenced phase observations for an arc, i.e., the phase difference between two points relative to a reference epoch. Detecting temporal partitions in the amplitude time series, we assign quality values to all phase observations within each partition. To reduce the impact of outliers, we introduce the Normalized Median Absolute Deviation (NMAD) of the vector of amplitudes to robustly estimate the variance of the phase observations. The method results in a scatterer-specific and time-variable stochastic model, which is independent of the phase observations itself and prior to parameter estimation. This differs from many conventional methods where the quality is often determined a posteriori from the residuals between the model and the observations. This yields more realistic and reliable displacement estimates, as well as improved statements on the precision and reliability of the estimated parameters.
OceanTracker 0.5: Fast Adaptable Lagrangian Particle Tracking in Structured and Unstructured Grids
Authors: Steidle Laurin , Vennell Ross , Smeaton Malcolm , Chaput Romain , Knight Ben
Published: January 2025

Particle tracking is frequently used to compute particle movements within hydrodynamic ocean models; however, modelling millions of particles is computationally challenging. OceanTracker is designed to minimise the time required to obtain results from particle tracking. Firstly, by being computationally fast, it enables users to scale to large numbers of particles, thus obtaining better statistics or exploring a wider range of cases within acceptable run times. Secondly, OceanTracker can calculate multiple particle statistics during the computational run, eliminating the time needed to post-process large volumes of recorded particle trajectories. The adaptability of OceanTracker's modular computational pipeline allows users to add and modify components which govern particle physics, behaviour, and statistics. The computational pipeline is entirely assembled from user-provided parameters, supplied as a text file or built using helper methods. Coders can easily modify existing components through code inheritance. Currently, OceanTracker supports hydrodynamic model output for unstructured grids (SCHISM, FVCOM, DELFT3D-FM) and structured grids (ROMS, NEMO/GLORYS). Computing the trajectories for more than a million particles with OceanTracker on a single computer core is 35 times faster than the OpenDrift code and twice as fast as the Ocean Parcels code, despite treating structured grids as unstructured. As a result, on a basic laptop computers it can model one million particles for one month in less than one hour, or many more particles on better hardware. OceanTrackers design allows multiple variations of particle tracking to be configured to run in parallel.
Children’s Pre-Scanning State Anxiety and Resting-State Functional Connectivity in Salience and Default Mode Networks: A Cross-Site Study
Authors: Qamar Purnima , Diaz Dana , Benson Brenda , Pine Daniel S. , Kirk Peter Alexander , Michalska Kalina Julia
Published: January 2025

Introduction: Even though resting-state functional connectivity (rs-FC) is conceptualized asmeasuring ‘intrinsic connectivity’, in-scanner experiences undoubtedly influence rs-FC. Themajority of work on anxiety and rs-FC does not consider the subjective state of the participantduring the magnetic resonance imaging (MRI) procedure. Heightened anxiety before an MRI(i.e., pre-scanning state anxiety), common in diverse samples, may be uniquely associated withindividual differences in brain activity. The current study assessed associations betweenpre-scanning state anxiety and rs-FC within and between the default mode network (DMN) andsalience network in a community sample of Latina girls (8-13 years) and a companion sample ofmixed treatment-seeking and healthy youth (8-18 years) of predominantly white background.Methods: A constrained network-based statistical approach calculated the average ofun-thresholded correlation coefficients from edge-level partial Spearman correlations to producenetwork-level measures. Statistics were compared against a null distribution based on averagedcorrelations from edge-level permutations to assess significance. Our hypothesis testing used athreshold of p < .05, which was then Bonferroni corrected (p < .00139).Results: We observed significant reductions in rs-FC within the DMN (r = -.32, p < .00139) as afunction of pre-scanning state anxiety in the community sample, but this did not replicate in ourcompanion sample.Discussion: Pre-scanning state anxiety is associated with rs-FC within the DMN, but onlyamong a community sample with elevated trait anxiety. This suggests that individual differencesin MRI scanning experiences may be associated with brain activity, but sample characteristicsshould be considered, and replication is needed.Keywords: pediatric anxiety, resting-state functional connectivity, default mode network,salience network, community samples
Signal combination in vibration perception
Authors: Wei Shasha , Wade Alex R , Preston Catherine , Baker Daniel H
Published: January 2025

While the brain’s integration of auditory and visual inputs has been extensively investigated, the mechanisms underlying the combination of somatosensory signals remain less explored. Here, we investigated vibrotactile summation across fingers using psychophysical and electrophysiological methods. In Experiment 1, discrimination thresholds for 26 Hz vibrations were measured using a two-alternative forced-choice (2AFC) task. Thresholds exhibited a 'dipper' pattern when plotted against pedestal intensity. Detection thresholds decreased by approximately 1dB when all ten fingers were stimulated ('dekadactyl' condition) compared to when each alternate finger was stimulated ('pentadactyl' condition), suggesting a process of probability summation. When a target stimulus was presented to five digits and a pedestal stimulus to the remaining digits ('dichodactyl' condition) thresholds increased, consistent with suppression between digit representations. In Experiment 2, steady-state somatosensory evoked potential (SSSEP) signals showed approximately a 1.4-fold amplitude increase in dekadactyl compared to pentadactyl conditions, indicating a summation effect. Conversely, SSSEP amplitudes decreased when targets and masks were presented at different frequencies, providing additional evidence of suppression. These results are consistent with a model featuring inhibition between digits and reveal that the weight of suppression is intermediate between that observed in binocular vision and binaural hearing.
Hype in the Communication of Science and Society
Authors: Grebenshchikova E. G.
Published: January 2025

The article considers hype in modern science, reveals its sources and its impact on knowledge production. Undermining trust, hype can have a negative impact on the social perception of science, on the choice of research priorities, which leads to uneven funding, on the assessment of risks and benefits of new technologies by non-specialists. At the same time, hype initiates the society inclusion in the discussion of the alternative visions of innovation development, helps to mobilize the scientific community and the necessary resources to solve promising issues of technoscience. Particular attention is paid to biomedical science, with which there are many expectations both in the field of disease treatment and improvement of the quality of life and its duration. The author's approach to this problem, based on the recognition of hype as an integral part of modern science, focuses on the ways to prevent its negative effects. Such efforts can be directed both at scientists, especially young ones, mass media and PR-departments of the academic institutions, and at work with the society. The latter implies taking into account the already accumulated experience of the non-specialists involved in scientific discussions within the framework of various initiatives to popularize science, to overcome the «knowledge deficit» of non-specialists and the «science and society» dialogue.
Russian Science Under Sanctions Pressure: New Risks and Development Opportunities
Authors: Polozhikhina M. A. , Korovnikova N. A.
Published: January 2025

With the start of Russia’s Special Military Operation in Ukraine, scientific organizations and Russian science as a whole became the object of sanctions pressure from the collective West. Meanwhile the state of domestic science at the time of aggravation of geopolitical contradictions can hardly be considered satisfactory. Its main problems are well known: chronic underfunding, lack of demand for research results from business, declining positions in world rankings, negative dynamics of scientific personnel and their uneven distribution across regions. As a result of external changes, new risks have appeared for the scientific sphere of the country: the rupture of international relations and the limitation of the flow of new knowledge, modern scientific equipment and necessary supporting materials, the outflow of scientific personnel abroad. The forced growth in demand from business and state structures for domestic developments opens up new opportunities for the science in Russia, but their use requires an appropriate government support. Threats to the country scientific complex are recognized at different administration levels, but the ideas about the necessary actions are contradictory, and the efforts made are not always effective or efficient. This requires the development of measures to support and stimulate scientific activity that are optimal for Russian reality, the implementation of which should become a priority direction of the state policy. There is an obvious need to increase funding for civil science and restore its applied areas, as well as to strengthen the cooperation and coordination of the activities of all scientific structures. Ensuring defense capability and security, achieving technological sovereignty, maintaining the level of education and public health protection in Russia are impossible without progressive development of the scientific sphere.
Intellectual Environment as an Object for Research: Factors of Development and Points of Vulnerability
Authors: Glinchikova A. G.
Published: January 2025

The article reveals the concept of intellectual environment as a community of people aimed at creating an intellectual and creative product and connected by a certain communication field. This community is considered as a cumulative subject of an innovative product, as a part of the public space, responsible for production, exchange, distribution and reproduction of intellectual resources. The article provides an overview of existing approaches and concepts used to study this phenomenon, such as «epistemic community,» «intellectual milieu,» «knowledge society,» «information society,» «knowledge economy,» «free-floating intelligentsia», «human capital», «intellectual capital», etc. The basic factors contributing to the effective development of the intellectual environment are considered: socio-political, economic, communicative, socio-cultural ones. Particular attention is paid to the specifics of the Russian tradition of the intellectual environment formation, revealing the discontinuous and non-linear type of its evolution both in the relation to the global intellectual environment and in relation to its own intellectual roots and tradition. The specific dual nature of the intellectual field of Russia, associated with the peculiarities of its modernization process, is emphasized. In conclusion, the idea about two possible vectors for the development of the global intellectual environment: segmental and integrative is expressed as an important dilemma of modern international politics.
Problems Arising from Urbanization in India: A Sociological Perspective
Authors: Bohra Alka
Published: January 2025

Urbanization is often described as a symbol of development. It is, in essence, the process by which cities undergo significant growth and expansion, accompanied by the centralization of economic activities. One key driver of urbanization is the rapid increase in population and the resulting concentration of people in cities due to better planning opportunities. Additionally, industries, transportation, and related activities have a profound impact, which in turn adversely affects the environment. While rural areas symbolize pure and clean environments, urbanization is associated with environmental pollution, leading to ecological crises. Initially, cities were small, their expansion was limited, and the number of economic activities was minimal, causing no significant environmental threats. However, over time, cities not only expanded but did so in an unplanned manner. The centralization of industries accompanied advancements in technology and technical development. This led to the evolution of cities into metropolises, creating a web of transportation networks. Today, the larger the city, the more severe the problems it faces, with these issues growing increasingly critical each day.
Abstract in Hindi Language: शहरीकरण को विकास के प्रतीक के रूप में वर्णित किया जाता है। वास्तव में शहरीकरण वह प्रक्रिया है जिसके अंतर्गत नगरों का अधिकतम विकास एवं विस्तार हो रहा है तथा आर्थिक क्रियाओं का केन्द्रीकरण हो रहा है। शहरीकरण का एक कारण जनसंख्या की तीव्र वृद्धि एवं नगरों में नियोजन की अधिक संभावनाओं के कारण उनमें जनसंख्या का केन्द्रीकरण होता जा रहा है, साथ ही उद्योग, परिवहन आदि का भी वहाँ अत्यधिक प्रभाव होता है, फलस्वरूप पर्यावरण पर उसका विपरीत प्रभाव पड़ता है। वास्तव में ग्रामीण अंचल जहाँ शुद्ध पर्यावरण का प्रतीक है वहीं नगरीय या शहरीकरण के साथ पर्यावरण प्रदूषण जुड़ गया है, जो पारिस्थितिक-संकट का कारण बनता है। प्रारंभ में नगर छोटे थे, उनका विस्तार सीमित था और वहाँ संपादित होने वाली आर्थिक क्रियाओं की संख्या सीमित थी जिसके परिणामस्वरूप पर्यावरण को किसी प्रकार का संकट नहीं था। किंतु कालांतर में नगरों का न केवल विकास अपितु अनियोजित विकास होने लगा तथा यहाँ प्रौद्योगिकी एवं तकनीकी विकास के साथ ही उद्योगों का केन्द्रीकरण होना प्रारंभ हो गया। नगरों से महानगर विकसित हो गये, परिवहन के विविध साधनों का जाल इनमें फैल गया और आज विश्व के जो नगर जितने अधिक बड़े हैं, उतने ही अधिक समस्याओं से ग्रसित हैं और ये समस्यायें दिन-प्रतिदिन गंभीर होती जा रही हैं।
Keywords: भारत, नगरीकरण, पारिस्थितिक-संकट, नियोजन।
Intergration Of Local And Islamic Architecture In Traditional Minangkabau
Authors: Mohd Shafri Mohd Affendi
Published: January 2025

Mosque architecture is an important part in the process of Islamizing societies whose civilizations have had influences from another system of belief prior to the conversion into Islam. The mosque provides a new substitute for a place of ritual and signifies a change in the welsthanchauung where the alien concept of mosque is integrated in the new Muslim community through the incorporation and reinterpretation of local traditional symbols and architectural designs. A fieldtrip, accompanied by a local guide, to ancient Minangkabau mosques, on the Sumatera Island, Indonesia sought to examine examples of Islamicization in mosque architecture. Interview with locals were conducted, photographs were captured and observations made were cross-referenced with available literature to validate interpretation. In these mosques, old designs, thought to be of Hindu-Buddhist origin, such as the stupa (mound-like structure), gunungan (mountain-like feature) and makara (mythical sea-creature) have been retained and incorporated in mosque designs and given new Islamic interpretation. Non-religious designs with strong local affinity such as floral and vegetal motifs using local flower and plant as inspiration are utilized to increase the aesthetic value of mosque. Other examples, like the radiant sun motifs that is peculiar only to Malay mosque, is thought to carry symbolic Islamic meaning whereas gonjong roof (buffalo horn-shaped roof), is incorporated for both cultural identity and functional purposes. In addition, new components, symbols and designs were introduced from other Islamic civilization; examples include features such as crescent and naâ€™al (sandal) motifs.
Wood Carving In Selected Kelantan And Terengganu Timber House
Authors: Kamaruddin Zumahiran
Published: January 2025

This study aimed to determine the significance and meanings of the carved components and their placements within the timber houses of Kelantan and Terengganu during the periods of 1800s to 1930s. An analytical review on 25 sets of measured drawings of 14 Kelantan houses and 11 Terengganu houses including a total of 148 carved components was conducted by visual descriptive and interpretative analyses. The analytical review of the drawings which were obtained from the Centre for the Study of Built Environment in the Malay World at the Department of Architecture in Universiti Teknologi Malaysia was embraced as a principal method of data collection. Semi-structured interviews with five prominent woodcarvers on art and crafts of wood carving were conducted to substantiate the findings from the analytical review. The woodcarversâ€™ interpretations were required for verification and validation. The results suggest that 17 types of carved components were found in the houses which were dominated by ventilation panels. A significant pattern of visual attributes was prevalent in the components including types of motifs, shapes and layouts, forms of incision and perforation, carving patterns and compositional principles. Motifs of flora, geometry, Arabic calligraphy and combination of these were depicted in two and three dimensional compositions either in relief or non-relief and perforated or non-perforated forms. Configurations of carving pattern, shapes and layouts of the components were in agreement with the nomenclature of their placements within the interior and exterior fabric and the different forms of the houses. Consistency in the distributions of the components suggests its functions for practical, aesthetical and socio-cultural values and signifies hierarchical utilization of spaces whilst strengthening the regional forms of the house architecture. These qualities including the visual attributes contribute to the significance and meanings of the carved components in the architecture of the selected Kelantan and Terengganu timber houses.
THE DEVELOPMENT OF METHOD FOR ADAPTIVE SELECTION OF SURFACE REFLECTANCE MODELS FOR RENDERING TASKS
Authors:   Vinnytsia National Technical University, Vinnytsia, Ukraine, ZAVALNIUK Yevhen , ROMANYUK Oleksandr ,   Vinnytsia National Technical University, Vinnytsia, Ukraine
Published: January 2025

In the article, it is proposed the method of adaptive selection of the reflectance model for the tasks of
rendering three-dimensional scenes. The peculiarities of calculating the pixel color intensity during the scene
object’s surface shading are analyzed. The contribution of the diffuse and specular component to the final color
intensity for various materials is considered. The main groups of surface reflectance models are discussed, each of
which can be applied only to a certain type of surface. The simplest models of light reflection from diffuse and
specular surfaces, more complex light reflectance models that take into account the microgeometry of the surface,
and models designed for special types of surfaces are described. The main principles of the concept of adaptive
selection of the light reflectance model and the typical stages of its implementation are analyzed. The need to
develop new methods of adaptive selection of reflectance models is justified. The features of the proposed method
for adaptive selection of light reflectance models are considered in detail. Within the scope of the method, an
approach is proposed for choosing the optimal empirical reflectance model to ensure highly productive rendering
of the scene. This approach is based on the analysis of the shininess coefficient of the surface. In addition, the
recommendations are provided for the selection of light reflectance models for photorealistic visualization of
surfaces of a general type, as well as surfaces of a special type, such as fabrics, hair, multilayer materials. At the
same time, during highly realistic rendering, it is suggested to use a simple light reflectance model instead of a
microfacet model if the surface roughness is small. This approach makes it possible to form a highly realistic
image of the object of the scene without excessive computational costs. On the basis of conducting experiments
using the BRDF Explorer software tool and using the NMSE metric, the level of surface roughness was determined,
where the use of a simpler model is appropriate. The proposed method of adaptive selection of the reflectance
model can be used to optimize the graphic systems of highly realistic and highly productive rendering.
COMPARISON OF COMPILERS FOR GENERATING A HARDWARE DESCRIPTION BASED ON AN IMPERATIVE PROGRAM: HDL CODER AND VITIS HLS
Authors:   National University “Zaporizhzhia Polytechnik”, Zaporizhzhia, Ukraine, BUTKO Vladyslav , KASIAN Kostiantyn ,   National University “Zaporizhzhia Polytechnik”, Zaporizhzhia, Ukraine, KASIAN
Published: January 2025

A mathematical formula was chosen, the hardware implementation of which ensures sufficient the result accuracy
of the compilers comparison. Based on it, a graph-scheme of the algorithm (GSA) was composed. According to
GSA, programs were created in high-level languages (HLL): Matlab and C++. The HLL programs is not adapted
to the generation of descriptions in the hardware description language (HDL) with HLS (high level synthesis)
optimizations. To confirm the functional equivalence of the HLL programs, they were tested with the HLL test
functions. Based on the Matlab and C++ programs, HDL was generated with the HLS tools: HDL Coder and Vitis
HLS, respectively. To confirm the functional equivalence of HDL descriptions, they were tested with the HDL
test benches. Synthesis and implementation on virtual FPGA (field programmable gate arrays) of generated HDL
descriptions was performed. Comparison of the HLS compilers are based on implementation reports and generated
HDL descriptions
Vliianie programmy povysheniia kvalifikatsii pedagogov na kachestvo prepodavaniia
Authors: Koniushenko Svetlana Mikhailovna , Komissarova Mariia Olegovna
Published: January 2025

Professional development of teachers is an important component of education quality. The paper presents the results of a study on the impact of a teacher training program on classroom teaching practices. A comparison is made of teachers' teaching practices in the areas of planning, implementation, and evaluation before and after participation in the program. The study found that the professional development program has a statistically significant and positive impact on planning, implementation, and evaluation practices. These results serve as evidence of the importance of teacher training in terms of changes in classroom teaching practices.
Issledovanie povedencheskikh deviatsii u vospitannikov organizatsii dlia detei, nakhodiashchikhsia v trudnoi zhiznennoi situatsii
Authors: Biriukova Irina Aleksandrovna , Miriutsa Ekaterina Valerevna , Polushkina Irina Vladimirovna , Topilskaia Olga Anatolevna , Iureva Tatiana Vladislavovna , Uvarov Evgenii Alekseevich
Published: January 2025

Justification. The relevance of the topic is due to the fact that at present deviant behavior is a phenomenon that negatively affects the development of personality and socialization of children, and also creates difficulties for the pedagogical work of teachers and for the interaction of parents with their children. In order to care for the healthy and harmonious development of adolescents, it is necessary to achieve an understanding of the mechanisms of the formation of behavioral deviations and develop effective methods of prevention. Purpose of the study. Study of emotional states and behavioral characteristics of pupils of organizations for children in difficult life situations. Methods. To study the emotional states, behavioral disorders in adolescents, 150 pupils of grades 7, 8 and 9 of secondary comprehensive schools in Tambov were examined. The study was conducted from February to November 2024. The study included testing. Statistical data processing was carried out through a comparative analysis of the input and output testing data using the Wilcoxon T-test. To identify the relationship between negative emotional states and deviant behavior, a correlation analysis of the data obtained in a group of children and adolescents from families with a socially dangerous situation was carried out. Spearman's rank correlation coefficient was used for the analysis, statistically significant correlation coefficients were taken into account | r | ( 0.5 at the level of p ≤ 0.01. Results. Our studies have revealed that children and adolescents from families with a socially dangerous situation experience discomfort during social adaptation, difficulties in developing behavioral patterns that reflect the system of values and norms of society, and they also have difficulties in interpersonal communication. Such children are characterized by difficulty in building personal boundaries and maintaining independence from the opinions of significant others. A third of the pupils have an increased or high rate of depression. This confirms the need to develop a comprehensive program for the prevention and correction of behavioral deviations in pupils of organizations for children in difficult life situations in order to avert crisis situations, depressive states, emotional breakdowns.
Novye trebovaniia k soderzhaniiu sochineniia-rassuzhdeniia na EGE v 2025 godu
Authors: Arefeva Svetlana Aleksandrovna , Arefeva Olesia Viktorovna
Published: January 2025

The relevance of addressing this topic is due to the problem that has arisen related to the change in the requirements for the unified state exam in the Russian language in 2025 for a task with a detailed answer (work on a written monologue), which is an essay based on the text read (task 27), the need to provide methodological assistance to teachers in explaining the content of the exam the essay and its evaluation criteria.
The main research method is the analysis of the logical, substantive, linguistic and compositional features of the text type of reasoning in the process of using the textual approach in teaching Russian in secondary schools.
The paper contains basic theoretical information about reasoning as a functional and semantic type of speech and a text of the type of reasoning. The results of the study are related to the analysis of the Demonstration version of the Unified State Exam 2025 (Russian language) in part of task 27, a comment on the compliance of the exam essay with the criteria of its.
O nekotorykh aspektakh psikhologo-pedagogicheskogo soprovozhdeniia studentov
Authors: Sudakov Oleg Valerievich , Sudakov Dmitrii Valerievich , Gordeeva Olga Igorevna , Sych Galina Vladimirovna
Published: January 2025

The chapter is devoted to the study of some aspects related to psychological and pedagogical support of medical students using the example of the Voronezh State Medical University named after N.N. Burdenko (VSMU named after N.N. Burdenko). This topic is becoming increasingly relevant every year due to the ever-increasing stress factors, including those leading to the development of depressive states and even suicide attempts, which is especially relevant among young people. The objects of the study were 200 students, men and women, of the medical faculty of VSMU named after N.N. Burdenko. All of them were divided into 2 groups depending on the course of study: group 1 included 100 1st year students, the second – 100 6th year students. The study is based on a questionnaire specially developed by the authors, including both general questions about gender, age, and special ones concerning awareness of some aspects of psychological and pedagogical support for students, as well as finding out the general attitude to psychological and pedagogical support and directly to the psychological service. The need for psychological assistance from school years to university years was studied, and cases of visiting specialists of this kind were analyzed. In addition, the number of students exposed to stress in life, school, and university was studied. Interesting features of the study were the analysis of the strongest stress factors for students of both groups, as well as the analysis of positive aspects, according to students, of psychological and pedagogical support for students. The data obtained in the chapter are of particular interest not only for psychological services and psychologists directly, but also for higher education teachers involved in the educational process with students and medical residents.
DEVELOPMENT OF PUBLIC FOOD PRODUCTS WITH REDUCED PROTEIN CONTENT
Authors:   Bashkir State Agrarian University, S.A. Leonova , D.Z. Gallyamov ,   Bashkir State Agrarian University, N.S. Nikulina ,   Bashkir State Agrarian University
Published: January 2025

Research has been carried out, as a result of which a culinary flour product has
been developed from dough based on corn, potato and wheat starch with the addition
of freeze-dried pumpkin powder. It has been shown that sublimation provides a high
degree of preservation of vitamins in the raw materials. Loading diagrams for dough
samples were obtained on a texture analyzer “Structometer ST-2”, on the basis of
which three recipes were selected.
The developed product is intended for people suffering from a disorder of
metabolism of the amino acid phenylalanine. The content of phenylalanine in the
finished dish does not exceed 95 mg per serving.
Neuroscience Perspectives on Religious Moderation: An Analysis of Muhammadiyah's Fatwas in Response to the Covid-19 Pandemic
Authors: Waharjani Waharjani , Jailani Mohammad
Published: January 2025

This study examines how neuroscience can enrich our understanding of religious moderation, particularly in the context of the COVID-19 pandemic. Focusing on Muhammadiyah's fatwas, this research aims to understand how a neuro-religious approach can support the implementation of moderation principles in religious practices. Through a qualitative analysis of relevant literature, this study finds that Muhammadiyah's fatwas during the pandemic emphasized the importance of balance between faith and reason in addressing public health challenges. Neuroscience provides a scientific foundation for understanding how the human brain processes religious information and how moderation can be promoted through cognitive mechanisms. The results show that Muhammadiyah's fatwas not only provide practical guidance for worship during the pandemic but also encourage the development of a moderate attitude rooted in a deeper understanding of Islamic teachings. This study concludes that the integration of neuroscience and Islamic studies can contribute to the development of a more comprehensive framework for promoting religious moderation in the future.
COMPARATIVE ANALYSIS OF REAL-TIME SEMANTIC SEGMENTATION ALGORITHMS
Authors: DURKOT Markijan , MELNYK Nataliia
Published: January 2025

Semantic segmentation is a fundamental task in computer vision that enables machines to interpret and understand images at the pixel level, providing a deeper understanding of scene composition. By assigning a class to each pixel, this technique is critical for applications requiring detailed visual comprehension, such as autonomous driving, robotics, medical imaging, and augmented reality. This article presents a comprehensive comparative analysis of deep learning models specifically designed for real-time semantic segmentation, focusing on their performance metrics, architectures, and various application contexts. This study compares advanced deep learning models, including PIDNet, PP-LiteSeg, BiSeNet, SFNet, and others, using key metrics such as Mean Intersection over Union (mIoU) and Frames Per Second (FPS), alongside the hardware specifications on which they were tested. Models like PIDNet, known for its multi-branch architecture, emphasize detailed, context, and boundary information to improve segmentation precision without sacrificing speed. On the other hand models like PP-LiteSeg, with its Short-Term Dense Concatenate Network (STDCNet) backbone, excels in reducing computational complexity while maintaining competitive accuracy and inference speed, making it well-suited for resource-constrained environments. The analysis evaluates the trade-offs between accuracy and computational efficiency using benchmark datasets such as Cityscapes and DeepScene. Additionally, we examine the adaptability of these models to diverse operational scenarios, particularly on edge devices like NVIDIA Jetson Nano, where computational resources are limited. This discussion extends to the challenges faced in real-time implementations, including maintaining robustness across varying environments and achieving high performance with minimal latency. Highlighting the strengths, limitations, and practical implications of these models, this analysis can serve as a valuable resource for researchers and practitioners aiming to advance the field of real-time semantic segmentation.
TOWARDS MULTI-AGENT PLATFORM DEVELOPMENT
Authors: KARATAIEV Oleksandr
Published: January 2025

This paper focuses on the design and evaluation of a FIPA standard compliant multi-agent platform. The relevance of the topic is due to the growing need for flexible, reliable, and efficient software solutions capable of solving complex intelligent problems in distributed environments. The study is dedicated to the problem of developing and evaluating an agent platform using the Kotlin programming language. The main goal of this work is to design and implement a modular, scalable, and adaptive agent platform. The existing frameworks for the development of multi-agent systems are reviewed, the key components of such systems are highlighted, and the advantages of using Kotlin in the context of a multi-agent architecture are discussed. The scientific contribution of the paper is the creation of a modern FIPA-compliant multi-agent platform that exploits the advantages of the Kotlin language. The performance and resource intensity of the developed system are analyzed, and the platform's compliance with FIPA standards and its interoperability are evaluated. Two different metrics are used to ensure the quality of the system. One of the metrics is the percentage of covered code. This metric is measured using the kover library.  We achieved 71.4% coverage of classes and 57.1% coverage of commands. Further coverage is complicated by the use of multi-threaded technologies. The second metric is the system's score for comments from the sonarlint evaluation tool. During development, 16 comments were identified and fixed. This allows us to achieve a high level of code quality and ensure quality for the future. The study demonstrates the potential of integrating modern language capabilities with the multi-agent paradigm, opening new perspectives for the development of efficient and scalable solutions in the area of distributed intelligent systems.
COMPARATIVE ANALYSIS OF CLASSIFICATION METHODS FOR HIGH-RESOLUTION OPTICAL SATELLITE IMAGES
Authors: HNATUSHENKO Володимир , KASHTAN Vita , CHUMYCHOV Denys , NIKULIN Serhii
Published: January 2025

High-resolution satellite image classification is used in various applications, such as urban planning, environmental monitoring, disaster management, and agricultural assessment. Traditional classification methods are ineffective due to the complex characteristics of high-resolution multichannel images: the presence of shadows, complex textures, and overlapping objects. This necessitates selecting an efficient classification method for further thematic data analysis. In this study, a comprehensive assessment of the accuracy of the most well-known classification methods (parallelepiped, minimum distance, Mahalanobis distance, maximum similarity, spectral angle map, spectral information difference, binary coding, neural network, decision tree, random forest, support vector machine, K-nearest neighbour, and spectral correlation map) is performed. This study comprehensively evaluates various classification algorithms applied to high-resolution satellite imagery, focusing on their accuracy and suitability for different use cases. To ensure the robustness of the evaluation, high-quality WorldView-3 satellite imagery, known for its exceptional spatial and spectral resolution, was utilized as the dataset. To assess the performance of these methods, error matrices were generated for each algorithm, providing detailed insights into their classification accuracy. The average values along the main diagonal of these matrices, representing the proportion of correctly classified pixels, served as a key metric for evaluating overall effectiveness. Results indicate that advanced machine learning approaches, such as neural networks and support vector machines, consistently outperform traditional techniques, achieving superior accuracy across various classes. Despite their high average accuracy, a deeper analysis revealed that only some algorithms are universally optimal. For instance, some methods, such as random forests or spectral angle mappers, exhibited strength in classifying specific features like vegetation or urban structures but performed less effectively for others. This underscores the importance of tailoring algorithm selection to the specific objectives of individual classification tasks and the unique characteristics of the target datasets. This study can be used to select the most effective method of classifying the earth's surface, depending on the tasks of further thematic analysis of high-resolution satellite imagery. Furthermore, it highlights the potential of integrating machine learning-based approaches to enhance the accuracy and reliability of classification outcomes, ultimately contributing to more practical applications.