bluuebunny/crossref_metadata_2025_split huggingface dataset:
ИЗМЕНЧИВОСТЬ ПАРАМЕТРОВ ФОТОСИНТЕЗА НЕКОТОРЫХ ДРЕВЕСНЫХ РАСТЕНИЙ НА КЛЮЧЕВЫХ УЧАСТКАХ КАРБОНОВОГО ПОЛИГОНА ЧЕЧЕНСКОЙ РЕСПУБЛИКИ
Authors: Придача В.Б. , Махмудова Л.Ш. , Мамадиев Н.А. , Дускаев Х.Р. 
Published: February 2025

На основе полевых наблюдений в теплый период года (май, июль, сентябрь 2024 г.) проведена оценка параметров углекислотных и световых зависимостей СО2-газообмена листа дуба черешчатого (Quercus robur L.) и лещины (Corylus avellana), произрастающих на двух ключевых участках карбонового полигона «Way Carbon» (Чеченская Республика). В вегетационной динамике более высокие величины параметров световой зависимости выявлены преимущественно у деревьев дуба и лещины равнинной популяции (участок «Черноречье») относительно низкогорной популяции (участок «Рошни-Чу»). В среднем за вегетацию листья дуба и лещины равнинной популяции связывают в 8 раз больше СО2, чем они выделяют в результате темнового дыхания. В низкогорной популяции листья дуба менее экономно расходуют ассимиляты (4:1), поглощая углекислый газ в меньшей степени относительно его выделения при дыхании по сравнению с лещиной (6:1). Вместе с тем выявлена схожая направленность сезонных изменений показателей углекислотной зависимости фотосинтеза для дуба и лещины в разных популяциях. Отмечено влияние этапа онтогенеза листа и водного статуса растения на изменчивость параметров фотосинтеза в течение вегетации. Полученные результаты использованы для расчета потенциальной продуктивности фотосинтеза дуба и лещины в лесных экосистемах Северного Кавказа.
The paper presents the results of assessment of the photosynthetic response to increasing CO2 (A-Ci curve) and light intensity (A-Q curve) in common oak (Quercus robur L.) and common hazel (Corylus avellana) trees growing at two key sites of the Way Carbon landfill (Chechen Republic). Field observations at both sites were conducted in the warm period of the year (May, July and September 2024). During the growing season, higher values of parameters in light response curves were revealed mainly in oak and hazel trees of the plains population (Chernorechye site) relative to the foothills population (Roshni-Chu site). Leaves of oak and hazel of the plains population on average sequester 8 times more CO2 than they release through dark respiration during the growing season. Photosynthetic CO2 uptake of oak in the foothills population exceeded its release by foliage during dark respiration only 4-fold compared to hazel (6-fold). At the same time, photosynthetic parameters obtained from CO2 response curves for oak and hazel in different populations mainly demonstrated a similar response to intraseasonal changes in plant growth conditions. The effect of leaf development stage and plant water status on the variability of photosynthesis parameters during the growing season was noted. The results were used to calculate the potential photosynthetic productivity of oak and hazel in forest ecosystems of the North Caucasus.
АНАЛИЗ ВЛИЯНИЯ ВЫСШИХ ГАРМОНИЧЕСКИХ СОСТАВЛЯЮЩИХ НАПРЯЖЕНИЯ НА РАБОТУ СИЛОВЫХ ТРАНСФОРМАТОРОВ
Authors: Гаврина О.А. , Марзоев С.А. , Туаева А.Э. , Кудзиев А.Б. , Кюрджиев А.Н. 
Published: February 2025

В статье произведена оценка влияния высших гармонических составляющих напряжения на работу силовых трансформаторов в системе электроснабжения промышленных предприятий. Протекание токов высших гармоник по обмоткам трансформатора вызывает добавочные потери активной мощности в нем, что может приводить к нарушению теплового режима трансформатора. Оценку влияния высших гармоник на работу трансформатора можно провести путем сравнения потерь активной мощности и далее теплового режима в нем при несинусоидальном и синусоидальном напряжении. Выполнен электромагнитный расчет трансформатора и на основе рассчитанных конструктивных параметров определены зависимости превышения температуры в разных элементах трансформатора для двух указанных выше режимов его работы в функции от коэффициента нагрузки. Из анализа зависимости превышения температуры в обмотке низшего напряжения трансформатора в функции коэффициента загрузки видно, что превышение значения коэффициента нагрузки трансформатора сверх допустимого приводит к превышению температуры обмоток относительно величин, определенных нормативными данными.
The article assesses the influence of higher harmonic components of voltage on the operation of power transformers in the power supply system of industrial enterprises. The flow of higher harmonic currents through the windings of the transformer causes additional losses of active power in it, which can lead to disruption of the thermal conditions of the transformer. The influence of higher harmonics on the operation of a transformer can be assessed by comparing active power losses and then the thermal regime in it at non-sinusoidal and sinusoidal voltages. An electromagnetic calculation of the transformer was performed and, based on the calculated design parameters, the dependences of the temperature rise in different elements of the transformer were determined for the two above-mentioned operating modes as a function of the load factor. From the analysis of the dependence of the temperature rise in the low-voltage winding of the transformer as a function of the load factor, it can be seen that exceeding the transformer load factor value above the permissible value leads to an increase in the temperature of the windings relative to the values determined by the standard data.
Выявление признаков депрессии на основе пользовательских данных из социальных сетей с помощью нейронных сетей
Authors: Солохов Т.Д. , Кочкаров А.А. 
Published: February 2025

В статье рассматривается проблема выявления признаков депрессии на основе пользовательских данных из социальных сетей с применением методов машинного обучения и сетевого анализа. Исследование включает разработку модели выявления пользователей с признаками депрессии, которая основана на текстовом анализе их публикаций в социальных сетях, а также метаданных профилей в социальной сети. В качестве алгоритмов в исследовании были использованы нейронные сети, что позволило достичь высокой точности классификации. Графовый анализ, проведенный для анализа влияния пользователей с признаками депрессии, демонстрирует, что такие пользователи имеют низкую степень центральности и не образуют плотных кластеров, что свидетельствует об их социальной изоляции. Гипотеза о распространении депрессии через социальные связи не подтвердилась, что указывает на минимальное влияние депрессивных пользователей на окружающих. Результаты исследования могут быть полезны в целях разработки систем раннего выявления депрессии. Особое внимание уделено ограничениям работы – использованию данных только одной социальной сети и сложности обработки текстовых данных. В статье предложены перспективы дальнейших исследований, направленные на расширение методов анализа распространения депрессивного поведения в социальных сетях.
The article studies the problem of identifying signs of depression based on user data from social networks using machine learning methods and network analysis. The study includes the development of a model for detecting users with signs of depression, which relies on text analysis of their social network posts and profile metadata. Neural networks were used as algorithms in the study, showing high classification accuracy. Network analysis was implemented to examine the influence of users with signs of depression and it shows that such users have low centrality and do not form dense clusters, indicating their social isolation. The hypothesis of depression spreading through social connections was not confirmed, suggesting minimal impact of depressive users on others. The research results can be utilized to develop systems for early detection of depression. Special attention is given to the study's limitations, including the use of data from a single social network and the complexity of processing textual data. The article proposes directions for further research aimed at expanding methods for analyzing the spread of depressive behavior in social networks.
Лечебные заговорные тексты в фольклоре монгольских народов
Authors: Дампилова Л.С. , Хабунова Е.Э. , Эльбикова Б.В. , Заласурэн Ч. 
Published: February 2025

В статье впервые в сравнительном аспекте рассматриваются заговорные тексты (монг.: шившлэгийн үг, калм.: шимлдл, бурят.: шэбшэлгэ — нашептывание), используемые монгольскими народами в лечебной практике. Анализу подвергаются материалы, собранные в Республике Бурятия, Республике Калмыкия и Монголии (МНР) в 2023 г. в рамках проекта «Фольклор монгольских народов — источник эмпирических знаний о здоровье человека и традиционно-медицинской практике». Наряду с традиционными лечебными практиками, основное внимание уделяется вербальному компоненту народной медицины. Рассмотрены заговорные тексты общего характера и от конкретных болезней. Отмечается, что в текстах заговоров нашли отражение народные знания о здоровье человека, способах лечения, причинах возникновения болезни. В ходе анализа выявлена единая семантическая основа заговорных конструкций монгольских народов. Установлено, что в магических ритуалах и в заговорных текстах содержатся малоизвестные сведения и практические предписания охранительного характера, они нацелены на обеспечение безопасности и устранение зловредных для жизни человека явлений. Определено, что мотивацией ритуальных действий по заговариванию болезней является просьба об уходе мифологического духа болезни. Полевые материалы подтверждают, что заговоры, обереги и другие компоненты магических ритуалов и обрядов использовались довольно эффективно на протяжении многих веков и не потеряли значимости в наши дни, а предостережения и запреты, представленные в фольклоре и обычаях монгольских народов в разных формах, помогали людям бережно относиться к здоровью.
This article is the first to compare the spells (zagovory) used by Mongolian peoples for healing. Analyzed are materials collected in the Republic of Buryatia, the Republic of Kalmykia and Mongolia (MPR) in 2023 as part of the project “Folklore of the Mongolian Peoples — A Source of Empirical Knowledge About Human Health and Traditional Medical Practice.” Along with traditional healing practices, the article analyzes the verbal component of traditional medicine. It examines both short and detailed incantations, both of a general nature and those concerning specific diseases. Incantations reflect folk knowledge about human health, the causes of diseases and methods of treatment. During analysis of the verbal material the rituals and spell texts contain information and practical instructions for disease prevention that are aimed at ensuring people’s safety and eliminating phenomena that are harmful to human life. The motivation for these ritual acts is to request that the mythological spirit of the disease depart. Field materials confirm that incantations, amulets and other components of magical rituals have been used for many centuries and have not lost their significance today, and that the warnings and prohibitions presented in the folklore and customs of the Mongolian peoples in various forms have helped people take care of their health.
Violence in Algerian Society and its Eradication between Reality and Challenge: The Case of Algerian School
Authors: Sahel Malika , Mokrane Fadila 
Published: February 2025

Violence in Algerian society remains a serious social evil and a difficult reality that has attracted the attention of scholars, academicians and researchers from different Algerian towns. The focus of different initial studies performed, mainly focused on the responsibility of the most important institutions concerned with the social up growing and education, namely the family and the school towards the birth of violence and its eradication. Indeed, in the case one of these crucial institutions fails to perform its duties and assume its responsibility, violence becomes the language of the family with its members, of the school with all its different components; consequently the language of a whole society. On this basis, important questions impose themselves: what is the reality of violence in Algerian schools? And what are the appropriate measures that Algerians should take to reduce or eradicate it? Our analysis resulted in the necessity to review the duties of both the Algerian family and school, and some suggested strategies to reduce or eradicate school violence in the Algerian society.
Instagram as Digital Communication Tool for the Museums: a Reflection on Prospectives and Opportunities through the Analysis of the Profiles of Louvre Museum and Metropolitan Museum of New York
Authors: Zingone Michela 
Published: February 2025

Launched in October 2010, Instagram is nowadays one of the most used social networks. According to the latest data released by the platform in 2018, in fact, the number of active users exceeded one million. From the public to the private sector, several actors have integrated Instagram into their communication plan. Among them, there are also the museum institutions. The object of this article is to look at what types of contents museums usually share and to understand how they are using this innovative communication channel based essentially on images to document, communicate their daily activity, their identity, and get in touch with users. Through the method of the content analysis, we propose a qualitative analysis of the posts published in a period of 30 days on the official profiles of the Louvre Museum in Paris and the Metropolitan Museum of Art in New York.
Strategic Management of the Metaverse Ecosystem in the Context of Web 3.0: Theory, Framework and Tools
Authors: Vertakova Yu. , Shkarupeta E. 
Published: February 2025

This study explores the strategic management of metaverse ecosystems grounded in Web 3.0, emphasizing the theoretical foundations, conceptual framework, and practical tools required for their advancement.The subject of this study is the development of decentralized, user-owned virtual worlds within metaverse ecosystems, bridging digital and physical realities.The purpose of this study is to analyze the evolution from Web 1.0 to Web 3.0 and to highlight the transformative impact of these ecosystems within the context of Industry 5.0.The relevance lies in the strategic significance of the metaverse as a driving force in future economic and technological development, reshaping industries, work environments, and digital economies.The scientific novelty of the research lies in its introduction of a six-domain conceptual framework for managing the digital potential of complex systems in the metaverse, focusing on the blockchain-based democratization of digital assets and user-centric governance.The findings reveal significant distinctions between the Web 2.0 and Web 3.0 metaverse ecosystems and demonstrate their transformative potential across various sectors.The study concludes that metaverse ecosystems will play a pivotal role in shaping Industry 5.0, necessitating innovative management strategies to fully harness their digital and economic capabilities.
Assessing the Level of Employment in the Informal Sector of the Economy of Russian Regions Using Modern Machine Learning Methods
Authors: Borisov A. N. , Borodin A. I. , Gubarev R. V. , Dzuyba E. I. , Kulikova O. M. 
Published: February 2025

The global trend is mass employment of the population in the informal sector of the economy. At the same time, only in economically developed countries of the world such workers have relatively good working conditions. At the current stage of development, Russia is among the group of actively economically developing countries of the world. Therefore, the improvement of the mechanism of state social protection of those employed in the informal sector of the economy remains an urgent relevant issue for our country, which, in turn, implies monitoring of the situation.The purpose of this study is to develop tools for such monitoring with the help of artificial intelligence (more precisely, modern machine learning methods). According to the results of cluster analysis carried out using the k-means method in the Python programming language, it was found that in modern Russia there is a high degree of differentiation of regions by the level of employment in the informal sector of the economy. At the same time, most of the subjects of the Russian Federation are characterised by the same situation as in economically developing countries of Eastern Europe (Bosnia and Herzegovina, Serbia, Czech Republic). Four regions of Russia (from the North Caucasus Federal District) have an abnormally high level of employment in the informal sector of the economy comparable only with economically developing countries of Asia, Africa, North and South America. In the course of solving the classification problem using a modern machine learning method (LightGBM), the key factors affecting the level of employment in the informal sector of the economy of Russian regions were identified.According to the classification results, we can conclude that a cardinal change in the current situation is not expected in the future. Therefore, for modern Russia, it is necessary to improve the state social policy for a significant part of the regions.The results of the empirical study can be applied to improve the effectiveness of the state social policy of the Russian Federation. Thus, in particular, it will be possible to specify the amount of financial resources required for additional social support of the employed population of certain regions of our country.
The Use of Artificial Intelligence Technologies in Energy and Climate Security
Authors: Guliev I. A. , Mammadov A. , Ibrahimli K. 
Published: February 2025

This study provides a theoretical analysis of the use and application of artificial intelligence (AI) in the energy sector as it relates to climate security.The object of the study is energy and climate security as types of economic activity and social activity.The subject of the research is artificial intelligence in relation to the object area of research.The purpose of the study is to create a sound scientific basis for the use of artificial intelligence in the energy sector, as well as to identify emerging problems in the formation of a science-based approach to climate policy development.The authors’ research includes three interrelated research methodologies: topic modeling, text mining as part of qualitative analysis and object modeling as part of the systematization of results that are adequate to the subject area of the study and correspond to their reality; in addition, the authors supplemented the quantitative results with a theoretical and heuristic analysis of the scientific results of other researchers. The concept of parametric optimization (PO) is used as an effective method for solving the applied problem of testing the hypothesis of managing energy costs and energy efficiency based on AI in order to achieve optimal performance of the technical system and compliance with the Sustainable Development Goals (SDGs) in the field of climate security.The study’s findings suggest that AI is becoming fundamental to the development of a modern energy sector based on data and complex relationships and provides tools to improve technical system performance and efficiency in the face of sanctions restrictions.The authors conclude that the truth of the hypothesis has been proven: the use of AI as a control feedback loop at a technical facility for purification and energy generation is a more cost-effective and technically optimal alternative to a “live” operator, which will eliminate the human error factor. In this regard, the energy industry, utilities, grid operators and independent power producers must pay special attention to the introduction of AI technologies into existing technical systems.
COMUNIDADES TRADICIONAIS, POLÍTICAS PÚBLICAS E DESENVOLVIMENTO TERRITORIAL: A EDUCAÇÃO COMO CAMPO DE LUTA PELOS DIREITOS DOS POVOS INDÍGENAS EM ALAGOAS
Authors: Araujo Santos Junior Avelar , Kelly de Lima da Silva Joice , Alexandre Lira de Almeida Neto Roberto 
Published: February 2025

Este artigo se enquadra como um relato de experiência acerca do projeto de pesquisa intitulado “Comunidades Tradicionais, Políticas Públicas e Desenvolvimento Territorial: Povos Indígenas e Quilombolas em Alagoas”, que recebe o apoio institucional da Fundação de Amparo à Pesquisa do Estado de Alagoas, no âmbito do Edital nº 03/2022 - Apoio a Pesquisas Humanidades. O projeto tem como objetivo realizar o diagnóstico das condições estruturais, políticas e pedagógicas de um conjunto de 10 escolas (cinco indígenas e cinco quilombolas) presentes em distintos contextos territoriais do estado de Alagoas. Já a proposta deste texto preliminar é apresentar o relato de experiência de duas visitas técnicas realizadas em escolas das Terras Indígenas Tingui Botó e Xukuru-Kariri, a fim de elaborar uma caracterização estrutural e traçar uma análise crítica das políticas públicas educacionais implementadas nesses espaços escolares. Com base no materialismo histérico dialético, foram aplicados como procedimentos metodológicos a revisão bibliográfica sobre o tema e a pesquisa empírica qualitativa mediante o trabalho de campo e a aplicação de questionários e entrevistas semi-estruturadas. Por fim, o artigo proposto aponta questões desafiadoras sobre a Educação Escolar Indígena, em particular, e no tocante às políticas públicas direcionadas para os povos tradicionais do Brasil, em geral.
AVALIAÇÃO DA ESTRUTURA DA PAISAGEM NO ENTORNO DO PARQUE ESTADUAL DA SERRA DE JARAGUÁ, GO
Authors: Oliveira da Silva Clarice , de Souza José Carlos , Martins Patrick Thomaz de Aquino 
Published: February 2025

O objetivo deste trabalho foi avaliar a estrutura da paisagem, nos anos de 2000 e 2022, no entorno do Parque Estadual da Serra de Jaraguá (PESJ), unidade de conservação localizada no estado de Goiás. Utilizando uma metodologia que envolveu a análise de dados espaciais em um sistema de informações geográficas, foi gerado um buffer de 10 km no entorno do PESJ e identificadas as classes de uso e cobertura do solo presentes neste. As classes foram quantificadas e agrupadas em três categorias (cerrado, antrópico e corpos d’água), sendo realizada ainda uma análise dos fragmentos de cerrado. Os resultados mostraram, para ambos os anos, que a maior parte da área é ocupada pela categoria antrópica, sobretudo pastagem, a qual constitui uma parcela quase contínua em todos os espaços da área de estudo. Foi identificado um acréscimo na área ocupada pelo cerrado, em cerca de 4%. Nos dois anos analisados, esta classe se concentrava majoritariamente nos espaços situados do extremo leste ao extremo norte da área de estudo. Foi observada a redução da quantidade de grandes fragmentos e aumento da participação de pequenos fragmentos de cerrado. A classe água, mesmo pouco abundante e com distribuição difusa ao longo do buffer, passou por uma redução de aproximadamente 15% no intervalo de tempo analisado. Estes dados evidenciam um panorama preocupante, o qual pode impactar negativamente na manutenção dos processos ecológicos essenciais e no estabelecimento de um ambiente saudável às espécies que dele dependem.