bluuebunny/crossref_metadata_2025 huggingface dataset:
Strategi Kepala Sekolah dalam Meningkatkan Jumlah Peserta Didik di SMK YAPEMI Pagelaran
Authors: Munawaroh Nadhiatul , Purwanti Eri , Wahyudi Apri
Published: January 2025

Peserta didik merupakan komponen utama dalam pendidikan. Pada saat ini dunia pendidikan memiliki banyak persaingan untuk mendapatkan jumlah peserta didik, dan SMK YAPEMI Pagelaran masih memilik peserta didik yang sedikit. Kepala sekolah sebagai pemimpin lembaga perlu mengadopsi strategi yang efektif untuk menarik minat calon peserta didik agar jumlah mereka terus bertambah. Tujuan penelitian ini adalah untuk mengetahui strategi yang digunakan kepala sekolah dalam meningkatkan jumlah peserta didik di SMK YAPEMI Pagelaran, serta mengetahui kendala-kendala dalam melaksanakan strategi untuk meningkatkan peserta didik SMK YAPEMI Pagelaran. Jenis metode penelitian yang digunakan adalah kualitatif dengan pendekatan deskriptif. Lokasi penelitian di SMK YAPEMI Pagelaran, Pringsewu, Lampung. Adapun subjek dalam penelitian ini adalah kepala sekolah, guru, dan siswa. Dengan pengumpulan data yang digunakan adalah observasi (pengamatan), metode interview (wawancara), dan metode dokumentasi. Hasil penelitian ini adalah meningkatnya jumlah peserta didik dan meningkatnya kualitas peserta didik, menjadikan SMK YAPEMI Pagelaran mampu bersaing dengan ketat didunia pendidikan dan menjalin komunikasi yang baik dengan masyarakat.
Students are the main component in education. Currently, the world of education has a lot of competition for the number of students, and YAPEMI Pagelaran Vocational School still has a small number of students. The school principal, as the leader of the institution, needs to adopt effective strategies to attract prospective students' interest to ensure a continuous increase in their numbers. The purpose of this research is: to find out the strategies used by school principals in increasing the number of students at YAPEMI Pagelaran Vocational School; and to find out the obstacles in implementing strategies to increase students at YAPEMI Pagelaran Vocational School. The type of research method used is qualitative with a descriptive approach. The research location is YAPEMI Pagelaran Vocational School, Pringsewu, Lampung. The subjects in this research were school principals, teachers and students. The data collection used is observation, interview method and documentation method. The results of this research are an increase in the number of students and an increase in the quality of students, making YAPEMI Pagelaran Vocational School able to compete fiercely in the world of education and establish good communication with the community.
Model Perkuliahan Microteaching Berbasis RME untuk Meningkatkan TPACK Mahasiswa Calon Guru
Authors: Irianti Nathasa Pramudita , Rozhana Kardiana Metha
Published: January 2025

This research aims to develop an RME-based lecture model for Microteaching courses that can increase the Technological, Pedagogical, and Content Knowledge (TPACK) of prospective teacher students. The lecture model developed is a learning tool that is implemented in the Microteaching course in the Mathematics Education Study Program. The development of this lecture model uses the modified 4-D Development Model introduced by Thiagarajan, Semmel & Semmel. The 4-D model consists of four stages, namely define, design, develop, and disseminate. The development product is in the form of lecture tools consisting of lesson plans, and evaluation assessments whose validation has been tested by two experts in the field of learning tools and learning media. In addition, trials were carried out on prospective teacher students who took the Microteaching course in the 2022/2023 Short Semester. The results of validation tests and trials show that this RME-based lecture model can be implemented to increase the Technological, Pedagogical, and Content Knowledge (TPACK) of prospective teacher students.
Bilangan Kromatik Lokasi Gabungan Graf Palem
Authors: Nurinsani Aisyah , Welyyanti Des , Yulianti Lyra
Published: January 2025

Pewarnaan titik pada suatu graf adalah pewarnaan titik dengan syarat setiap dua titik yang bertetangga mempunyai warna yang berbeda. Kode warna suatu titik adalah jarak titik ke partisi himpunan warna yang ada. Suatu graf mempunyai pewarnaan lokasi jika setiap titik tersebut mempunyai kode warna yang berbeda. Graf palem adalah graf yang dibentuk dari graf lingkaran, lintasan, dan bintang. Gabungan graf palem adalah graf tak terhubung dengan graf palem sebagai komponen-komponennya. Bilangan kromatik lokasi adalah banyaknya warna minimum pada graf sedemikian sehingga graf tersebut mempunyai pewarnaan lokasi dengan k warna. Penelitian ini membahas bilangan kromatik lokasi gabungan graf palem.
The Impact of Sanctions on the Level of ESG Transparency in russian Companies after the Start of the Special Military Operation
Authors: Bataeva B. S. , Karpov N. A.
Published: January 2025

Under the conditions of sanctions restrictions, there has been a change in the ESG involvement and ESG transparency of Russian companies. At the same time, the nature of such changes, as well as the impact of sanctions, ownership structure and industry affiliation, remains insufficiently studied. The article examines the level of ESG transparency of Russian business before and after the start of a special military operation in 2022, considering the ownership structure and industry affiliation of companies. The study sample includes ESG transparency estimates for 75 Russian public companies for the period from 2021 to 2023. According to the results of the study, it was revealed that after the start of the special military operation, there was a decrease in the level of information transparency in all three ESG aspects, especially in terms of social information and corporate governance information. In addition, it was found that the change in the level of ESG transparency varies depending on the ownership structure and industry affiliation. The results obtained can be used by investors, creditors and other stakeholder groups when making decisions about cooperation with certain companies, taking into account the specifics related to the capital structure and business profile.
Changes in Approaches to the Analysis and Forecasting of Domestic Mechanical Engineering within Manufacturing Industries
Authors: Borisov V. N. , Zinchenko Yu. V.
Published: January 2025

Relevance: The article analyzes the relationship between the development of domestic mechanical engineering and relevant scientific schools within the framework of the concept of sustainable development. The functioning of domestic mechanical engineering is considered in the context of international associations.

   The following methods were applied in the study: a systems approach, functional, comparative economic, and statistical analyses, as well as the authors’ methodological developments.

   The scientific novelty of the article lies in the implementation of theauthors’ approach to studying mechanical engineering as an interaction between scientific schools and economic and environmental factors.

   The results and conclusions of the study may be useful for decision-making within the existing economic model of the Russian Federation when forecasting, developing, and adjusting strategic programs for industry development.
Analysis of vibration machine parameters affecting compaction quality
Authors: Vasiliev Oleksii , Yakovenko Andrii
Published: January 2025

Compaction of products is an important stage of construction work and engineering projects. It has a significant impact on the stability and reliability of the construction. However, the compacting quality of the products depends on various parameters that are controlled and adjusted on vibration machine. Analysis of these parameters will allow us to determine the optimal values to achieve the maximum quality of compacting products using a vibration machine. The article studies the influence of different parameters of the vibration machine on the quality of the material compaction. The purpose of this article is to determine the choice of the optimal design of vibration machine, depending on the specific conditions of production and the size of reinforced concrete products. The authors emphasise on such key factors as vibration amplitude, frequency, workload and duration of exposure. Therefore, taking into account the fact that these parameters can help to understand better the vibration compaction process and develop optimal conditions for achieving high quality material compaction. This study presents the most rational design scheme of a small-sized vibration machine and its optimal dynamic parameters. The results of this study will be interesting for engineers, construction contractors and specialists who are engaged in the design or working on compaction of products
The improved soil base model for the calculation of the combined raft pile foundation with the structural nonlinear behavior of the elements
Authors: Samorodov Oleksandr , Tabachnikov Serhii , Dytiuk Oleksii , Bondar Oleksandr
Published: January 2025

The paper considers and theoretically justifies the improved model of the soil base for the combined raft pile foundation (CRPF) to consider the nonlinear behavior of the elements “after” and “before” the connection between the raft and the piles (structural nonlinearity) to calculate the stress-strain state using the finite element method in present-day calculation packages. Using the improved model makes it possible to qualitatively simulate the behavior of the CRPF with the structural nonlinearity in the behavior of its elements. The simulation and numerical calculation of the base-CRPF system was performed using a specific example and it was found that the application of the proposed model with consideration to the structural nonlinearity of the behavior of the foundation elements reduces the moment forces in the raft to 15% in comparison with the application of the full load at once and the behavior of the raft with the permanent connection between the raft and the piles
ОЦІНКА ЕФЕКТИВНОСТІ ДЕПОЗИТНОЇ ПОЛІТИКИ БАНКІВ В УМОВАХ ВОЄННОГО СТАНУ
Authors: Матвійчук Наталія , Борисюк Олена , Теслюк Софія
Published: January 2025

Introduction. Assessing the effectiveness of the deposit policy of Ukrainian banks in wartime is a strategically important task for ensuring the banking system's stability, maintaining public confidence, and developing the economy as a whole.
Purpose: substantiation of methodical approaches to assessing the deposit policy of commercial banks of Ukraine in martial law conditions.
Methods. In the research process, the following general scientific methods of knowledge were used, such as: generalization and comparison (to compare the existing methods of assessing the effectiveness of the deposit policy of banks and to determine the most optimal one in modern conditions), analysis (to study changes in the structure of the deposit portfolio of Ukrainian banks and the directions of investing the funds involved in conditions of martial law) statistical method (when calculating indicators of the efficiency of the deposit policy of the Oschadbank).
Results. The article summarizes methodical approaches to assessing the deposit policy of commercial banks of Ukraine in martial law conditions. The advantages and disadvantages of existing methods are analyzed. The expediency of using the evaluation methodology, which takes into account the structure of the involved resources and the directions of using deposit resources, is justified. The effectiveness of the deposit policy of the state bank Oschadbank in 2021-2023 is assessed.
Conclusions. From the point of view of the profitability of using borrowed funds, Oschadbank's deposit policy is effective, however, the need for its improvement is indicated by: a decrease in the proportion of term resources, the allocation of the majority of borrowed funds to the government bonds and deposit certificates, which negatively affect the activation of lending to the economy.
THE CHANGING ASPECTS OF MARRIAGE RITUALS AND PRACTICES IN RURAL HARYANA: A SOCIOLOGICAL INSIGHT
Authors: Ms. Neetu  , Malik Naveen , Joginder  , Kumar Sunil
Published: January 2025

Marriage, as a social institution, holds a pivotal role in structuring human relationships and ensuring cultural continuity. In rural Haryana, wedding rituals have historically embodied the region's deep-seated traditions and communal values. However, the dynamics of these rituals have shifted over time, reflecting broader societal transformations. Thus, keeping in view, the present study has been undertaken to know and analyse the changing aspects of weeding rituals, ceremonies and practices in rural Haryana along with the assessment of the effects on the family and the institution of marriage. The study adopts a descriptive and exploratory research framework, focusing on four districts of Haryana: Rewari, Jind, Ambala, and Sirsa. 40 male & female respondents (10 from each district) possessing 60 plus year of age were selected through purposive/convenient sampling. Data was collected by using qualitative methods, specifically through in-depth discussions and direct observations, to capture the lived experiences and insights of participants. The findings indicate a significant change in the nature and style of traditional rituals such as tail chadhana, baan, and Nyonda dalna, etc. Some of meaningful wedding ceremonies have largely been reduced to symbolic gestures or have disappeared altogether. This erosion of ritualistic depth not only marks a change in matrimonial customs but also signals a shift in the cultural fabric of rural Haryana. The study underscores the tension between cultural preservation and the forces of modernization, offering a critical reflection on the future of these fading traditions.
INDIAN ART AND RELIGION
Authors: Kaur Manvir
Published: January 2025

Art has long been interwoven with myth, magic, and religion, maintaining its profound influence through a sense of sacred allure. Just as revered religious artifacts captivate our attention, artworks enchant with their mesmerizing presence. Unlike ordinary objects, art offers an intensified perception of reality and suggests deeper truths that transcend everyday understanding and scientific knowledge.India’s rich and diverse traditions reveal a deep connection between religion and art. The country’s cultural heritage mirrors its spiritual beliefs, with artistic expressions—from majestic tabernacle puppets to intricate delve oils—shaped by evolving religious traditions. This paper explores the profound impact of spirituality on India’s artistic creations. Religion is pivotal in Indian society, profoundly shaping cultural expressions. For centuries, it has offered artists themes, symbols, and narratives to express their faith. To understand the link between religion and art in India, we must explore ancient times. Early civilizations like the Indus Valley, Maurya, Gupta, and Chola dynasties were deeply rooted in religious practices, giving rise to Hinduism, Buddhism, and Jainism, which profoundly influenced Indian art. Hinduism, the oldest religion, inspired intricate sculptures, vibrant paintings, and stunning temple architecture, as seen in Khajuraho, Konark, and Varanasi. Buddhism, originating in India, focused on the teachings of Gautama Buddha and is exemplified by the Ajanta and Ellora caves' detailed murals and rock-cut sculptures. Jainism, emphasizing non-violence and compassion, is reflected in the ornate marble carvings of Jain temples in Rajasthan and Gujarat.
Integração do Google Earth Engine e Google Colaboratory aplicados ao processamento digital de imagens de sensoriamento remoto
Authors: De Oliveira Gomes Sabrina , B. Candeias Ana Lúcia
Published: January 2025

Os usuários de imagens de sensoriamento remoto têm disponibilidade de acesso a vários bancos de dados de forma gratuita. Esses bancos de imagem com suas respectivas resoluções espaciais, espectrais, radiométricas e temporais são formados por um grande número de dados em nuvem de computadores. As utilizações são externas para diversos contextos de pesquisa e aplicações práticas relacionadas ao meio ambiente. Trabalhar com esses dados sem precisar baixá-los localmente se apresenta como vantagem cada vez mais necessária, com redução de tempo de processamento e espaço nos computadores locais. O presente trabalho exemplifica procedimentos com uso desses bancos e o processamento dessas imagens usando imagens do OLI do Landsat-8 e rotinas computacionais em linguagem Python, empregando as plataformas do Google Earth Engine e Google Colaboratory. Estas rotinas abrangem a aplicação do Índice de Vegetação por Diferença Normalizada (NDVI), Índice de Vegetação Ajustado ao Solo (SAVI), Índice de3 Água de Diferença Normalizada (NDWI), Índice de área construída por diferença normalizada (NDBI). O processo engloba uma sequência de etapas, que se inicia com a delimitação da área de interesse, seguida pela preparação das imagens, incluindo a aplicação de máscaras para remover elementos indesejados, como nuvens. E por fim, a conversão das informações imageadas em formatos tabulares, com análises estatísticas, gráficas e a representação cartográfica dos resultados complementando a análise. Em resumo, esse trabalho visa otimizar a análise de imagens de sensoriamento remoto em nuvem, tornando mais eficaz a etapa de processamento e auxiliando a interpretação de dados espaciais.
Estimativa da Salinidade das Águas Superficiais de Região Continental Brasileira utilizando modelagem em SIG
Authors: Francisco Paulo Roberto Megna , Silva José Nilton , Sousa José Hugo Simplicio de , Ribeiro George do Nascimento , Saboya Luciano Falle , Nascimento Franciele Simões do
Published: January 2025

Este trabalho objetivou estimar e mapear a salinidade das águas superficiais, para fins de irrigação para parte da região continental brasileira. Foram obtidos dados de Condutividade Elétrica (CE) e os parâmetros de Cálcio (Ca2+), Magnésio (Mg2+) e Sódio (Na+) provenientes de 1.290 amostras georreferenciadas e utilizando o QGIS® foram geoespacializados utilizando a interpolação B-Spline Multinível através do plugin SAGA®. No software QUALIGRAF® foi realizada a classificação da água superficial para fins de irrigação. No tratamento estatístico foi realizada a análise descritiva dos dados e o teste de normalidade utilizando o software RStudio©. Os resultados demonstraram que o uso da modelagem por B-Spline Multinível apresentou resultados satisfatórios. As classes de risco a salinidade superficial baixa a média (C1S1 a C2S4) ocorreram em 94% da área de estudo. Os testes de normalidade apresentaram-se semelhantes entre si e a correlação entre o CE e as variáveis Na+ e o Ca2+ foram de 0,815 e 0,816, respectivamente. Os resultados estatísticos foram semelhantes entre si para todas as variáveis.
The Implementation of the Doblin Innovation Model in Strengthening Competitive Advantage at Islamic Religious Higher Education Institutions in Madura
Authors: Warits Abd.
Published: January 2025

This study examines the implementation of the Doblin Innovation Model in Islamic higher education institutions in Madura within the context of increasingly complex and dynamic educational challenges. The aim of this research is to analyze how the implementation of the Doblin Innovation Model is carried out to strengthen the competitive advantage of two institutions: Universitas Annuqayah and IAIN Madura. The methodology used is descriptive qualitative with a case study approach, involving the collection of primary data through in-depth interviews with relevant parties and secondary data from institutional documents. The findings indicate that the success of innovation implementation heavily depends on supporting factors such as leadership commitment, the availability of technology, and an open organizational culture. Additionally, the implementation of the Doblin Innovation Model is carried out through three models of innovation: the network model, the structural model, and the service model. These three models are integratively applied within the systems developed by each institution
Enhancing the Halal Agri-Food Sector: Harnessing Blockchain for Opportunity and Innovation
Authors: Azmar Zahirah , Syarifah Ramzani Lutfi , Zahran Hasna Imaratuz , Dzaki Muhammad Faza , Cahyadi Eko Ruddy
Published: January 2025

The halal industry is seeing significant growth, driven by heightened consumption and awareness among Muslims, resulting in a rising demand for high-quality products. The halal agri-food sector is a very promising industry that garners significant customer interest regarding the quality and safety of its products. Nevertheless, the halal agri-food sector is presently encountering considerable hurdles in guaranteeing product authenticity and sustainability, especially in combating fraud, overseeing supply sources, and upholding standards across various locations. Furthermore, recent advancements in technologies like blockchain have garnered substantial interest as a solution for urgent challenges, and their integration could markedly improve procedures and yield benefits for the halal agri-food sector. This study sought to examine the existing literature regarding the potential and challenges of blockchain technology in the halal agri-food sector through a qualitative methodology. The results indicated that blockchain enhanced traceability, increased supply chain efficiency, and supported Sustainable Development Goals 9 and 12. The findings of this study indicate that blockchain integration enhanced the global halal market by optimizing production processes and bolstering consumer confidence, hence propelling the halal agri-food sector to emerge as one of the most profitable and reputable industries worldwide.
Diversi Sebagai Salah Satu Bentuk Perlindungan Terhadap Anak Yang Berhadapan Dengan Hukum (ABH)
Authors: Rodliyah Rodliyah
Published: January 2025

Upaya pemerintah untuk melindungi anak yang berhadapan dengan hukum (ABH) melalui Diversi belum berjalan dengan maksimal. Penelitian ini bertujuan untuk menganalisis diversi sebagai salah satu bentuk perlindungan terhadap anak yang berhadapan dengan hukum. Sedangkan jenis penelitian ini adalah penelitian hukum normatif empiris dengan menggunakan pendekatan perundang-undangan, pendekatan konseptual dan pendekatan sosiologis. Penerapan konsep Diversi dilakukan dengan tujuan untuk menghindari anak-anak dari implikasi negatif sistem peradilan pidana yaitu, menghindarkan anak akan memasuki sistem peradilan pidana dan menghilangkan label penjahat terhadap anak yang telah menjadi korban belum sepenuhnya dipahami oleh aparat penegak hokum dan masyarakat terutama keluarga korban. Perlu dilakukan sosialisasi secara masif mengenai Diversi kepada masyarakat. Hendaknya pemerintah menyediakan sarana dan prasarana Diversi dalam rangka memberikan jaminan perlindungan kepada anak, Diversi tidak berjalan seringkali disebabkan karena tidak mendapatkan persetujuan dari keluarga korban. Selain itu, dari pihak penyidik juga masih cukup banyak yang belum mendapatkan pelatihan Sistem Peradilan Pidana Anak, padahal sumber daya manusia (SDM) yang tidak terlatih bisa menghambat upaya Diversi
Abundance and Distribution of Microplastics in the Waters of Koroe Onowa Village, Wakatobi Regency
Authors: Basriah Basriah , Afu La Ode Alirman , Emiyarti Emiyarti
Published: January 2025

The waters of Koroe Onowa Village, Wakatobi Regency, are at risk of plastic waste contamination due to human activities on land that are carried by currents into the waters. Plastic waste is very dangerous for the health of the aquatic environment, especially marine biota, because the accumulation of microplastics over a long period of time can interfere with the respiratory and digestive tracts of marine biota, and has the potential to harm human health. For this reason, research on microplastics in these waters is needed. This study aims to analyze the abundance and distribution of microplastics in the waters of Koroe Onowa Village. Microplastic sampling was carried out using a modified plankton net method, which was then identified based on the type of microplastic. The results of the study showed that there were four main types of microplastics identified, namely fragments, films, fibers, and pellets, with an abundance ranging from 3.2 to 8.86 particles per liter. Station III, which is a coastal tourism area with dense human activity, showed the highest abundance value, namely 8.86 particles/liter. The results of this study provide an initial overview of the threat of microplastic pollution in the waters of Koroe Onowa and form the basis for better monitoring and waste management efforts in the area, as well as the need for mitigation measures to protect marine ecosystems and ensure the sustainability of coastal resources.
The Effect of The Solvent-To-Leaf Ratio in The Extraction Process of Moringa leaves on Erythrocyte and Lecocyte of Tilapia
Authors: Yadin Yadin , Abidin Zaenal , Azhar Fariq
Published: January 2025

Tilapia (Oreochromis niloticus) is a freshwater aquaculture fish that has a fairly high economic value among the Indonesian people. The purpose of this study was to determine the effect of the ratio between the number of moringa leaves and the extracting solution in the extraction process on total lekocytes and total erythrocyte of tilapia. The research was designed in a completely randomized design (CRD) with 5 treatments, namely the comparison of the number of moringa leaves and water solvents. The treatments are control (A), without extract), moringa leaves 5 gr + 10 ml solvent (B), moringa leaves 40 gr + 10 ml solvent (C), moringa leaves 70 gr + 10 ml solvent (D), and moringa leaves 100 gr + 10 ml solvent (E). Each solution was added to the feed as much as 50 ml / 30 grams and given to the fish for 16 days. Erythrocytes and leukocytes were counted on day 0, day 1, day 2, day 3, day 7 and day 16. The results showed that the addition of moringa leaf extract solution in feed affect (P<0.05) the total erythrocytes and total leukocytes in the first day until the 16th day of administration. The best observation results were shown in the addition of 5 g moringa leaf extract solution dissolved with 10 ml of water.
VERTICALIZAÇÃO NO IFES: FORMAÇÃO DO TÉCNICO AO SUPERIOR
Authors: Almeida Jaqueline Ferreira de , Dalla Mônica Rambalducci Sily , Lima Marcelo
Published: January 2025

O presente texto possui por objetivo realizar uma discussão acerca da relação de verticalidade
do Instituto Federal de Educação, Ciência e Tecnologia do Espírito Santo (IFES) – campus Colatina, e o
impacto desse processo de verticalização nos cursos de Educação Profissional Técnica de Nível Médio.
Para tanto teoricamente embasa-se na concepção da indissociabilidade da relação trabalho/educação
e, metodologicamente, baseia-se na análise documental de relatórios de gestão do IFES, do Plano de
Desenvolvimento Institucional, dos Projetos Pedagógicos de Curso e em outros documentos institucionais,
normativos, legislativos. Além disso, considera-se análise dos dados de matrícula do IFES - Campus Colatina
dos cursos de nível superior e de educação profissional técnica de nível médio. As primeiras aproximações
que temos acerca da análise do processo de verticalização no Campus Colatina do Instituto Federal do
Espírito Santo, é que há um impacto na oferta dos cursos na forma integrada na medida em que ocorre a
criação de novos cursos de graduação, aumentando a oferta em nível superior, e, no movimento contrário,
extingue-se os cursos do PROEJA.
Palavras-chave: Verticalização; IFES; Formação profissional; PDI.
Poblaciones escolares: el alumnado de la Junta de Caridad en la primera mitad del siglo XIX poblano
Authors: Marín Ibarra Mariana
Published: January 2025

El acercamiento a la niñez usualmente se ha realizado desde la historia social, generando el concepto de infancia, la cual difícilmente ha sido atendida por los investigadores, incluso en diversos momentos la reconstrucción de la participación social infantil se ha mezclado y en algunos casos diluido en el rescate de historias institucionales, debido a que las fuentes proporcionan un acceso sesgado a la cultura infantil, pues escasamente sus acciones y palabras quedaron plasmadas para ser vistas por generaciones futuras. La epistemología de la escolarización ha abierto nuevas vetas de investigación a partir de la historia cultural. La presente investigación busca desentrañar la sociedad e historia de las poblaciones escolares pertenecientes a las escuelas de la Junta de Caridad ubicadas en la ciudad de Puebla durante la primera mitad del siglo xix. Se rescatan las huellas escritas del alumnado masculino y femenino a través de sus listas de alumnas y cuadernos escolares, resaltando el fluctuante contexto histórico-social en que se desarrolló la instrucción, donde la constante tensión entre la Mitra y el ayuntamiento generó una serie de políticas públicas que influenciaron el currículo, siendo el método lancasteriano el punto de unión entre ambas instituciones, debido a que esta propuesta educativa juntó los valores sociales de ambas partes para la enseñanza de las primeras letras. El presente artículo muestra, en un primer momento, los esfuerzos para desentrañar la historia educativa que se ha seguido desde dos parámetros: a partir de la infancia y de las poblaciones escolares, para posteriormente establecer el contexto educativo de la ciudad de Puebla en la primera mitad del siglo xix, donde se desenvolvió la escuela femenina perteneciente a la Junta de Caridad, y finalmente se profundiza en los cuadernos del alumnado masculino y femenino de las escuelas llevadas por dicha Junta.
Design Process of a Memorial Square to Thank and Respect for Healthcare Workers after Covid-19 Pandemic
Authors: Yerli Ozgur
Published: January 2025

Open and green spaces are essential elements of cities. With the COVID epidemic, the importance of the need for open and green spaces in urban areas has become more understood. The aim of this study is to create a new and contemporary square in the working area where the current use and traffic create chaos, to add a new square to the open and green areas in Ankara (Turkey) and to create a connection between this area and the existing open and green areas. At the same time, health workers are honoured through a memorial area integrated into the square. The importance of the location chosen as the study area is that it is surrounded by many public health facilities and is a point of intersection of Ankara's existing open green space systems. Throughout the three-stage design process, brainstorming sessions were held, drawings and sketches were made, and urban analyses were carried out on transport, culture, art, education, health, open and green spaces. Solutions were proposed for both indoor and outdoor spaces, and the forms were transformed into functional design elements and reflected in the space. As a result, after the pandemic, a city square has been created where people can socialise again, with a monument, a square, water surfaces, an amphitheatre, viewing terraces, a market area, a bridge, sitting and walking areas that are appropriate to the capital.
Machine learning for predictive maintenance in self-healing software services
Authors: Nagaraj Bhadurgatte Revanasiddappa
Published: January 2025

Automated self-repairing systems, catalyzed by predictive maintenance and ML, are the new formative model in today’s software industry. Predictive maintenance is used widely for anticipating and avoiding system failures, and it forms a critical element in improving reliability and performance of software services. This article focuses on machine learning and application like predict and prevent maintenance and self-healing system that helps minimize downtimes, increases overall system performance of a system and selects optimal use of resources. The first part gives an overview of the development of software systems whereby an analysis was done on the general transition from simple static systems to autonomous systems that can self repair. It talks about predictability maintenance as a way of foreseeing failures, therefore avoiding undue disasters which are likely to inconvenience end users. The article then proceeds to explain the underlying ideas of predictive maintenance and differentiating it from the preventive and reactive kinds. This paper elaborates the methodology of how predictive maintenance integrates with self-healing and also with focus on without human intervention techniques used in autonomous systems wherein faults are corrected in real time. The discussion goes on to Machine learning methods ubiquitous in the predictive maintenance. Fault detection is tackled in supervised learning, and anomalous patterns in system logs are detected in unsupervised learning; reinforcement learning is applied to form recovery models to enhance self-healing mechanisms. The article goes on to discuss some of the difficulties in data quality, scaling of models and the combination of ML systems into existing structures, with solutions put forward including the use of cloud and the use of mix-model solutions. The use of predictive maintenance in the real world includes; In the healthcare sector and in cloud computing to name but a few. These case studies illustrate how organizations deploy these technologies for dependable and high performing operation in critical applications. Last but not least, the article brings vision for the future, with new interesting enhancements in self-healing solutions and the progression of AI/ML making the shift towards autonomous and self-optimizing systems.
Advances in the treatment of heart diseases: A review of emerging therapies
Authors: Carlos Henrique Nunes de Oliveira  , Isabela Ferreira Saddi  , Larissa Eduarda Nascimento Paula  , Cintia Pereira Reis Rodrigues  , Luiz Fellipe Lopes Valente  , Letícia Moraes Ribeiro de Carvalho  , Wilson Henrique Oliveira Silva  , Marinaldo Soares Leite
Published: January 2025

Cardiovascular diseases (CVDs) remain the leading cause of mortality in Brazil. In 2022, approximately 400,000 deaths were attributed to these diseases, regaining the top position after the COVID-19 pandemic in 2021. The increasing prevalence of cardiovascular diseases (CVDs) has driven several sectors to invest in research and technological innovations aimed at human health. Pharmaceutical industries and biotechnology companies have played a crucial role in developing advanced therapies and innovative solutions to mitigate the impact of these diseases on the global population. This study aims to highlight the main innovations implemented as well as new strategies in the management of CVDs, aiming to demonstrate their effect in reducing prevalence, consequences, and impact on global population quality of life. This study was conducted through a narrative review of the literature, using the following sources: scientific databases: PubMed, LILACS, and Google Scholar; documents from official bodies: Brazilian Ministry of Health, World Health Organization (WHO), and other government reports or international medical organizations; clinical guidelines: updated recommendations from medical and scientific societies related to the management of CVDs. Modern and emerging strategies in the treatment of cardiovascular diseases (CVDs) have led to notable advances, particularly in three key areas: diagnostic technologies, pharmacological therapies, and minimally invasive interventions. Each of these areas contributes significantly to improving clinical management, providing more effective, safer, and personalized treatments for patients. As research continues to advance, new therapies and emerging approaches, such as gene and cell therapy, offer a promising future for the treatment of heart diseases, improving survival and quality of life for patients worldwide.
Designing intelligent cyber threat detection systems through quantum computing
Authors: Olalekan Olorunfemi Fagbo  , Opeyemi Bilqees Adewusi  , David Agyemfra Atakora  , ThankGod Steven Lawrence  , Sosanya Adebayo Olufemi  , Zim Ezevillo
Published: January 2025

The ever-changing nature of cyber threats calls for a rapid innovative response that can arrest the situation. Quantum computing offers hope through its highly efficient and complex computing power that can intelligently detect cyber threats in the network systems. This paper examines the adoption of quantum computing into the frameworks for the detection of cyber threats. It also highlights the benefits, methodologies and real-world applications of quantum models. In addition, several quantum algorithms like Grover’s and Shor’s are assessed in terms of their contributions to cybersecurity or defense. This paper also includes methods, materials, comparative analysis, implementation strategies and practical applications in practical situations. Limitations, areas that require future research and the need to develop quantum-safe security mechanisms form the concluding part of this research paper.
The future of autonomous vehicles and drones in supply chain delivery
Authors: Oluwole Raphael Odumbo  , Enyinnaya Prince Onuma
Published: January 2025

The integration of autonomous vehicles and drones into supply chain delivery systems is transforming logistics and redefining last-mile delivery. With advancements in artificial intelligence, robotics, and Internet of Things (IoT) technologies, these innovations promise significant cost savings, enhanced efficiency, and reduced environmental impact. Autonomous vehicles, including self-driving trucks, are reshaping long-haul transportation by optimizing routes, minimizing fuel consumption, and mitigating driver shortages. Simultaneously, drones are revolutionizing urban and rural delivery by enabling rapid, contactless transportation of goods in challenging terrains and congested areas. Together, these technologies represent a paradigm shift toward a more efficient and sustainable supply chain ecosystem. However, the adoption of autonomous vehicles and drones raises significant challenges. Regulatory hurdles, infrastructure limitations, and safety concerns remain key barriers to widespread implementation. Additionally, issues of cybersecurity, privacy, and public acceptance must be addressed to ensure successful deployment. From an operational perspective, integrating autonomous technologies with existing supply chain systems requires careful coordination and investment in infrastructure and workforce reskilling. This study examines the future trajectory of autonomous vehicles and drones in supply chain delivery, focusing on their transformative potential and the obstacles they face. By analysing case studies and industry trends, the research identifies best practices and strategic frameworks for leveraging these technologies. The findings highlight the importance of collaborative efforts between policymakers, technology developers, and industry stakeholders in creating a regulatory and operational environment conducive to innovation. Ultimately, this research underscores the need for a balanced approach to harness the benefits of autonomy while addressing its associated challenges.
Effect of ice application to head and spine on autonomic function in patients with hypertension: A randomized controlled trial protocol
Authors: Naveen Prasath. M  , Abirami. M  , Arunthathi. R  , Manavalan. N  , Mooventhan. A
Published: January 2025

Background: Hypertension is characterized by persistently elevated blood pressure in the systemic arteries. The global prevalence and incidence of hypertension are on the rise and need to explore various therapeutic interventions to manage this condition effectively. One such intervention is the application of ice application, particularly to the head and spine, which has been studied for its potential effects on blood pressure and heart rate variability.

Objective: To evaluate the effect of Ice application to the head and spine on autonomic function in patients with hypertension.

Methods: The proposed study is a randomized controlled trial comparing ice application to the head and spine with the control group. A total of 60 participants will be randomly divided into a study group (n=30) and a control group (n=30). The intervention group will undergo ice application to the head and spine. Participants in the control group will be advised to rest in the prone position for 20 minutes.

Outcome measurements: Heart rate, heart rate variability, and blood pressure will be assessed immediately before and after the intervention.
Conclusion: The results will confirm the effect of Ice application to the head and spine on autonomic function in patients with hypertension
Rationale for updating earthquake design forces in modern building codes
Authors: Vail Karakale  , Fathi M Layas
Published: January 2025

Modern seismic design codes aim to prioritize life safety by permitting controlled structural damage during significant earthquakes while preventing catastrophic failures. This philosophy aligns well with regions of low seismic frequency, where major earthquakes occur roughly every 50–100 years. The current approach uses reduction factors (R) to minimize the size of structural members, balancing safety and economic considerations over a building's typical 100-year lifespan. However, this methodology allows for irreparable damage to structures during major seismic events, which is deemed acceptable in areas with low seismic activity.

In high-risk regions, such as Istanbul, where the likelihood of a major earthquake within a short timeframe is considerably high, the economic viability of this approach is questionable. Frequent seismic activity could result in newly constructed buildings being irreparably damaged within a fraction of their intended service life, necessitating demolition and reconstruction. To address these inefficiencies, it is proposed that reduction factors be regionally tailored. Lower R-values in high-risk zones would limit structural damage to repairable levels, enhancing resilience, sustainability, and economic efficiency by extending the usable life of buildings.

Region-specific reduction factors could ensure that seismic design codes accommodate varying risk levels effectively. For example, in areas with low seismic risk, the current R-value may remain suitable. In contrast, high-risk regions would benefit from reduced R-values to mitigate economic and structural losses. Revising reduction factors in this way would align seismic design practices with regional risk profiles, improving the durability and sustainability of urban infrastructure in seismically active areas.
AI-driven document management systems: revolutionizing information retrieval and workflow automation
Authors: Nagaraj Bhadurgatte Revan Siddappa  , Individual Researcher
Published: January 2025

AI has taken its position among the key technologies in the DMS. These systems were built to store documents and then transfer, archive, and recall them when needed. They are now becoming intelligent systems that aid in easy access and proper organization. AI-enabled DMS incorporate solutions like machine learning, NLP, and OCR to help with document classification, work on search and analysis based on content with meaning and boost safety measures for the information. This article examines how AI affects DMS, specifically across industries, finding that efficiency gains are a major plus, as well as cost savings coupled with compliance. A comparison of AI models shows the advantages and disadvantages of the solutions, which provide knowledge about the conditions of applying them. It moves towards future possibilities where blockchain, IoT, and generative AI are integrated, which is expected to expand the chances of scalability, reliability, and elasticity. Even when there are perceived limitations, such as the quality of data input and integration, AI-driven DMSs are opening up the door for organizations to be far more intelligent than they currently are. This effective survey is critical in demonstrating how AI is revolutionizing document management and setting a pace for enhanced innovation in the digital age.
Tectonophysical model of the tectonic earthquake focus
Authors:   Institute of the Earth's Crust of the Siberian Branch of the Russian Academy of Sciences, Bornyakov S.A. , Dobrynina A.A. ,   Institute of the Earth's Crust of the Siberian Branch of the Russian Academy of Sciences, Panteleev I.A. ,   Institute of Continuum Mechanics of the Ural Branch of the Russian Academy of Sciences, Sankov V.A. ,   Institute of the Earth's Crust of the Siberian Branch of the Russian Academy of Sciences,   Irkutsk State University, Salko D.V. ,   Institute of the Earth's Crust of the Siberian Branch of the Russian Academy of Sciences, Vstovsky G.V. ,   Autonomous non-profit organization “Center for Industrial and Environmental Expertise”, Moscow, Russia, Miroshnichenko A.I. ,   Institute of the Earth's Crust of the Siberian Branch of the Russian Academy of Sciences, Shagun A.N. ,   Institute of the Earth's Crust of the Siberian Branch of the Russian Academy of Sciences, Sintsov A.E. ,   Federal Service for Environmental, Technological, and Nuclear Supervision of the Russian Federation, Karimova A.A. ,   Institute of the Earth's Crust of the Siberian Branch of the Russian Academy of Sciences,   Irkutsk State University
Published: January 2025

Based on the results of physical modeling of the processes of fault zone formation, general regularities of their structural and dynamic development were revealed. These regularities were used as the basis of the author’s tectonophysical model of the tectonic earthquake focus, with a precursor resulting from it. Such a precursor is the self-organization of the deformation process of active segments in the focus of an impending earthquake. It was shown that this process can be diagnosed preventively using the deformation and seismic monitoring data and manifests itself in the form of low-frequency self-oscillations immediately before the seismic event in the time interval from the first days to the first hours. The stable manifestation of this precursor allows us to classify it as short-term.
Method for detecting anomalies in geomagnetic field variations based on artificial neural network
Authors:   Research Station of the Russian Academy of Sciences in Bishkek, Kyrgyzstan, Imashev S.A.
Published: January 2025

The paper proposes a method for anomaly detection in geomagnetic data based on the classical autoencoder architecture. The training data consisted of daily variations in the geomagnetic field on quiet days for 2020, 2021, and 2022, collected from the Ak-Suu base station of the geomagnetic monitoring network of the Research Station of the Russian Academy of Sciences in Bishkek. The neural network has five hidden layers with a total of ~3.5‧106 trainable parameters. The trained model accurately reproduces typical features of normal data, whereas in the presence of anomalies it shows a decline in reconstruction quality. This property of the autoencoder was used to classify the data into two categories: normal and anomalous. The reconstruction error, measured as the Mean Absolute Error (MAE), was used as the anomaly metric. In particular, the MAE value of 0.109 was used as the threshold for class separation. Testing the model on the data from the Ak-Suu station for 2017, 2018, and 2019 demonstrated good results. Binary classification metrics such as recall and F1-score were notably high: 0.965 and 0.918 for the 2017 data, 0.982 and 0.933 for the 2018 data, and 0.970 and 0.935 for the 2019 data, respectively.