bluuebunny/crossref_metadata_2025 huggingface dataset:
Badania zapraw cementowych i żużlowych z granulatami gumowymi SBR pod względem ekotoksykologiczności i wytrzymałości
Authors: GRYNKIEWICZ-BYLINA Beata , SŁOMKA-SŁUPIK Barbara , RAKWIC Bożena
Published: February 2024

Znane są różne rozwiązania zagospodarowania odpadów gumowych pochodzących ze zużytych opon, w literaturze napotykamy w szczególności na badania mieszanek betonowych i już gotowego wyrobu. Są to badania opisujące głównie właściwości reologiczne, mechaniczne i trwałościowe.Jednak duża toksyczność gumowych odpadów z opon samochodowych nakazuje badać taki beton pod względem ekotoksykologicznym.W pracy przedstawiono wyniki badań nad użyciem 3 różnych granulatów jako wypełniaczy zapraw ze spoiwem żużlowym lub cementowym CEM IV. Skupiono się na immobilizacji szkodliwych związków z granul gumowych w masie spoiwa. Założono, że wyrób budowlany z użyciem zaprawy z granulatem gumowym będzie miał kontakt z wodą. Masowy udział granulatów w zaprawach wynosił 4,7%. Uziarnienie granulatów wynosiło do 4 mm, głównie 1–3 mm.Wykazano spadek wytrzymałości zapraw z dodatkiem granulatów oraz brak wymywania wielopierścieniowych węglowodorów aromatycznych z zapraw. Metale z zapraw zostały zasorbowane przez gumę, w większości przypadków.
Exploring impact of student attitude, parental involvement, and teacher competence on mathematics performance in selected schools in Northern Ghana
Authors: Alorki Issaka , Tahiru Abdul-Wahab , Tahiru Rafatu
Published: February 2024

The purpose of this study was to see how students’ attitudes towards mathematics influenced their academic achievement in the Savelugu Municipality in the Northern Region of Ghana. The study employed the pragmatic paradigm and quantitative methodology. A 41-item semi-structured questionnaire rated using 5-points Likert scale, and document reviews were used to collect data. A combination of purposive and simple random sampling procedures was used to select 35 junior high school (JHS) in the Savulugu Municipality, questionnaires were administered to 350 JHS students, however, 315 questionnaires were returned. Data obtained from questionnaire were analyzed using Pearson product moment correlation coefficient, t-test, means, standard deviation, and percentages. The results revealed that educational institutions should develop programs to help parents become more active in their children’s education. To influence students’ attitudes towards mathematics study, policymakers and the Ghanaian Educational Service should promote programs such as National Mathematics Day to raise students’ awareness of the importance of mathematics in their daily lives. The Ministry of Education and non-governmental organizations should endeavor to offer enough instructional resources and financial incentives to instructors to help them make teaching relevant in the classroom.
INVESTMENT ATTRACTIVENESS OF UKRAINE'S ECONOMY AS A DOMINANT FACTOR IN ATTRACTING INTERNATIONAL CAPITAL: ANALYSIS, PROSPECTS, PRIORITIES
Authors: Mashchenko Olha , Pavlova Halina , Аtamas Oleksandr
Published: February 2024

The article analyses and proves the expediency of assessing the investment attractiveness of the Ukrainian economy on the basis of international ratings. The main task of the scientific publication is the analysis of the current state of investment attractiveness of the national economy and the determination of priority directions of its further strategic development. The concretisation of methodological approaches to the assessment of the level of investment attractiveness of the national economy through the prism of rating assessments of various agencies becomes a prerequisite for the formation of modern methods, principles, forms and priority tools of state regulation of this process. The use of innovative methods and methods of conducting scientific research in the context of determining the level of investment attractiveness of the national economy is a fundamental element of the model of successful attraction of investment capital and implementation of long-term strategic investment decisions. The subject of the scientific article is a rating of the investment attractiveness of the national economy from the perspective of the post-war period. The methodology of scientific research is based on the need to determine the level of economic efficiency of investment capital in modern conditions of globalisation transformations in the economy of Ukraine. The paper reveals the main issues of the methodology of investment decision analysis and the definition of criteria of efficiency of investment capital attraction to the national economy. The criteria of selection, justification and adoption of balanced management decisions are detailed and analysed. The purpose of this study is a comprehensive analysis of the state's position in international rating assessments of investment attractiveness, identification of key factors influencing the formation of a high level of investment attractiveness of the Ukrainian economy and search for ways to increase it by attracting additional investment capital. The conclusion of the publication is the search for ways to ensure a high level of investment attractiveness of Ukraine's economy as a dominant factor in attracting international investment capital. The fundamental strategic priority of the state investment policy is to form a comprehensive mechanism for ensuring a high level of investment attractiveness of the economy by developing a long-term programme for ensuring a high level of investment attractiveness of the national economy.
TOOLKIT FOR SOCIAL RESPONSIBILITY OF BUSINESS IN THE SYSTEM OF INCLUSIVE CORPORATE MANAGEMENT OF SUSTAINABLE DEVELOPMENT OF UKRAINIAN AGRICULTURAL COMPANIES
Authors: Stepanenko Sergii , Nemashkalo Karina , Salionovych Liudmyla
Published: February 2024

The research subject is the social responsibility of agribusinesses in the context of current corporate governance practices. Methodology. The study uses the following methods of economic research: content analysis method (when processing scientific sources and reviewing thematic literature); abstract and logical method (when substantiating the defining principles and criteria of social responsibility of business entities in the agricultural sector); statistical observations and economical and statistical calculations (when analysing indicators of the achieved state of social responsibility of agricultural companies); abstract and logical method (when substantiating conclusions to the study). The research is aimed at finding tools to increase the social responsibility of agrarian business through the transformation of the corporate culture of agricultural management of Ukrainian companies. Conclusion. Ukraine has a strong agricultural potential. However, achieving national and global sustainable development goals, which are relevant shortly, requires a change in business values and strategic guidelines. Such values should be aimed at solving the problems of protecting the environment, preserving natural resources, improving the quality and safety of agri-food products, and improving the quality of life of the rural population. The solution to these problems is inextricably linked to voluntary, socially responsible agribusiness initiatives. The analysis carried out showed that there is a high level of agribusiness social responsibility in the management of the activities of large-scale agricultural enterprises in Ukraine, which is reflected in the voluntary non-financial reports. In small- and medium-sized agribusinesses, the perception of the need for social responsibility is limited and constrained by a lack of financial resources. The calculated indicators show a low level of social responsibility in the agricultural business of small- and medium-sized agricultural enterprises in Ukraine. The level of chemicalisation of agricultural production and ploughing of agricultural land is high. There are significant problems with the use of rural labour resources and the development of rural areas. The main problems were identified in the spectrum of irrational use of land and labour resources and the low quality of life of the population in rural areas of Ukraine. The processes of recognition of the values and benefits of socially responsible agribusiness in Ukraine are slow. As a tool for increasing the social responsibility of agribusinesses in Ukraine, a system of principles and criteria of socially responsible business is proposed for implementation in the corporate governance of Ukrainian agribusinesses.
WAR AS A CHALLENGE TO ROAD SAFETY: DAMAGE TO SOCIETY AND THE ECONOMY OF UKRAINE
Authors: Batyrgareieva Vladyslava , Kolodyazhny Maxim , Netesa Nataliia
Published: February 2024

Purpose of the article. Russia's armed aggression against Ukraine has become a real challenge and threat to Ukrainian society in various aspects of life. The lack of financial resources due to the defensive nature of the economy caused by the war makes it difficult to ensure road safety in Ukraine and to prevent deaths and injuries on the roads. The topical issue of the state of road safety in Ukraine is also related to its European integration course, as road safety is a priority European policy task for EU member states. The aim of this article is to conduct a criminological analysis of the state of road safety in Ukraine during the war, and to determine the damage caused by road traffic injuries and fatalities to the Ukrainian economy and society as a whole, taking into account the war situation. Research conclusion. The assessment of the state of road safety in Ukraine is based on official statistical information from the General Prosecutor's Office and the Department of Patrol Police, and the theoretical conclusions are based on the results of an anonymous survey of Ukrainian drivers on their compliance with traffic rules. The study of the level of road traffic accidents with fatalities and injuries in Ukraine has shown that the state of road safety deteriorated during the war in comparison with the pre-war period. The impact of the war on this condition is diverse and depends on the dislocation of the region in Ukraine and the intensity of combat operations in a given area. It has been established that among the factors significantly influencing the quantitative and qualitative indicators of violations in the field of road safety during the war, the most significant are the destruction of objects of road and transport infrastructure, a decrease in the effectiveness of patrol police activities, the construction of road fortifications, etc. The article also reveals the characteristics of the road safety system in wartime, emphasising the inadmissibility of extrapolating the state of road safety from the pre-war period to wartime, including in the direction of preventing violations in this area.
AI in credit scoring: A comprehensive review of models and predictive analytics
Authors: Wilhelmina Afua Addy  , Adeola Olusola Ajayi-Nifise  , Binaebi Gloria Bello  , Sunday Tubokirifuruar Tula  , Olubusola Odeyemi  , Titilola Falaiye
Published: February 2024

This review provides a succinct overview of the comprehensive review exploring the integration of Artificial Intelligence (AI) in credit scoring. The analysis delves into diverse AI models and predictive analytics shaping the contemporary landscape of credit assessment. The review begins by examining the historical context of credit scoring and progresses through the transformative impact of AI on traditional credit assessment methodologies. It scrutinizes various AI models employed in credit scoring, ranging from machine learning algorithms to advanced predictive analytics. Emphasis is placed on elucidating the strengths and limitations of each model, considering factors such as interpretability, accuracy, and scalability. The evolution of credit scoring is discussed, emphasizing the transition from rule-based systems to sophisticated AI-driven approaches. The integration of alternative data sources, such as social media and unconventional financial indicators, is explored, showcasing the expanding scope of AI in capturing a more holistic view of an individual's creditworthiness. The Review underscores the significance of predictive analytics in credit scoring, outlining the nuanced techniques used to forecast credit risk. It elucidates the role of explainable AI, addressing the need for transparency in complex credit scoring models, especially in the context of regulatory compliance and consumer trust. Furthermore, the review highlights the real-world implications of AI in credit scoring, discussing its impact on financial inclusion, risk management, and decision-making processes. The ethical considerations and potential biases associated with AI models are explored, shedding light on the importance of fairness and responsible AI practices in the credit industry. In conclusion, this comprehensive review navigates the intricate landscape of AI in credit scoring, offering a holistic understanding of the models and predictive analytics that underpin modern credit assessment. The synthesis of historical perspectives, model intricacies, and real-world implications makes this review an essential resource for practitioners, researchers, and policymakers in the ever-evolving domain of AI-driven credit evaluation.
Nontuberculous mycobacteria infection among Mycobacterium tuberculosis patients attending tuberculosis referral centers in Nasarawa State, Nigeria
Authors: Ishaleku David  , Akyala  , Ishaku Adamu  , Okoedoh Osazuwa  , Rabo Maikeffi
Published: February 2024

Reports of Mycobacterium tuberculosis (MTB) infection are increasing probably because of misdiagnosis and incorrect reporting of NTM in the State leading to inappropriate treatment regimens and deaths as a result of NTM infection than MTBC and has become detrimental especially among immune-compromised individuals. Thus, this study is designed to determine the Prevalence of NTM among Mycobacterium tuberculosis patients attending Tuberculosis Referral Centers in Nasarawa State, Nigeria. A total of 1380 early morning sputum samples were collected and incubated for the detection of mycobacterial growth, those that were positive for Acid-fast bacilli were further tested (SD Bioline) to detect Mycobacterium tuberculosis Complex (MTBC). Growths that were not MTBC but were Acid-Fast Bacilli positive were suggestive of NTM. Of 1380 sputum collected, the overall prevalence of NTM and MTBC were 8.8% and 20.5% respectively in which males had higher prevalence of 9.0% and 20.9% for NTM and MTBC respectively. Patients with No-formal Education showed highest prevalence of 17.6% and 31.3% for NTM and MTBC respectively. In relation to occupation, farmers had higher prevalence of 13.1% and 29.6% for NTM and MTBC respectively. The prevalence of NTM and MTBC was highest among smokers (9,7% and 24.6%) respectively while participants with HIV had higher prevalence of NTM and MTBC than those that were non-reactive (P2=<0.05 and P1=>0.05). Seasonal infections of NTM and MTBC in the State was low during the raining season and higher during the dry season. Strengthening and expansion of clinical and laboratory services to diagnose and manage diseases caused by NTM with MTBC was highly recommended.
Comparison of music therapy and listening to the holy Quran in the management of breast cancer patients: A scoping review
Authors: Mery Eka Yaya Fujianti  , Heri Kristianto  , Laily Yuliatun
Published: February 2024

Pain is one of the complaints that is often experienced by cancer patients due to treatment, cancer cell metastasis, or both. One of pain managements is using non-pharmacological therapy such as music therapy and murottal therapy or listening to the recitation of the holy Quran. This scoping review aims to compare music therapy and murottal therapy in pain management in breast cancer patients. The review methodology was used to map relevant evidence, synthesize findings, define keywords, and search for relevant articles from the EBSCO, Google Scholar, ProQuest, and PubMed databases. The next stage is selecting articles using PRISMA diagrams, data mapping, collecting, and summarizing findings. The results of the analysis revealed that music therapy provides a comfortable and relaxing effect. It is able to calm the soul, structured, and also universal, resulting in a decrease in pain intensity, while murottal therapy causes feelings of resignation and can cause respondents to think about the greatness of God making the respondents feel calmer, relaxed, and respond well. Music therapy can reduce 2 to 3 pain scales, while murottal therapy can reduce 4 pain scales. This proves that murottal therapy is more effective than music therapy.
Empowering sustainable power generation: The vital role of power electronics in California's renewable energy transformation
Authors: Idoko Peter Idoko  , Onuh Matthew Ijiga  , Omachile Akoh  , Daniel Obekpa Agbo  , Solomon Ileanaju Ugbane  , Esther Ene Umama
Published: February 2024

This paper elucidates the pivotal role played by power electronics in catalyzing the ongoing transformation of California's energy landscape towards sustainability through renewable sources. As California intensifies its efforts to combat climate change and foster energy resilience, the integration of renewable energy technologies becomes paramount. Through a comprehensive analysis, this study unveils the indispensable functions of power electronics in enabling the efficient generation, transmission, and utilization of renewable energy resources. By exploring key renewable energy systems such as solar, wind, and hydro power, and their intricate interactions with power electronics, this research underscores their collective impact on the state's energy transition. Insights garnered from this examination not only shed light on the technical intricacies of renewable energy integration but also inform strategic decision-making for policymakers, utilities, and stakeholders vested in California's sustainable energy future.
Assessing the environmental health and safety risks of solar energy production
Authors: Alex Olanrewaju Adekanmbi  , Nwakamma Ninduwezuor-Ehiobu  , Uchenna Izuka  , Ayodeji Abatan  , Emmanuel Chigozie Ani  , Alexander Obaigbena
Published: February 2024

Solar energy production has gained significant traction as a promising alternative to fossil fuels, yet its widespread adoption raises questions regarding its environmental health and safety (EHS) risks. This review presents an overview of the current state of research in assessing these risks associated with solar energy production. Firstly, it examines the environmental impacts of solar energy, including the life cycle assessment of photovoltaic (PV) panels and solar thermal systems. Key considerations include the energy and resources required for manufacturing, transportation, installation, operation, and end-of-life disposal or recycling of solar panels. Furthermore, the potential for land use change, habitat disruption, and biodiversity loss due to large-scale solar installations is addressed. Secondly, the review discusses the safety risks associated with solar energy production, focusing on occupational health and safety hazards for workers involved in manufacturing, installation, maintenance, and decommissioning of solar energy systems. It examines exposure to hazardous materials such as lead, cadmium, and silicon during the manufacturing process, as well as the risks of falls, electrical hazards, and other workplace accidents during installation and maintenance activities. Moreover, the review highlights emerging technologies and best practices aimed at mitigating EHS risks in solar energy production. These include advancements in PV panel recycling technologies, improvements in manufacturing processes to reduce environmental impacts, and enhanced safety protocols and training for workers in the solar energy industry. While solar energy offers numerous environmental and economic benefits as a renewable energy source, it is essential to comprehensively assess and manage its EHS risks throughout the life cycle of solar energy systems. This review underscores the importance of ongoing research, innovation, and regulatory oversight to ensure the sustainable and safe deployment of solar energy technologies in the transition towards a low-carbon future.
La educación inclusiva y la atención a la diversidad
Authors: Pérez Pedregosa Ana Belén
Published: February 2024

En los últimos años se ha ido globalizando el término de “diversidad funcional”, quedando obsoletos otros términos que resultan despectivos para tal colectivo. A continuación, se pretende definir y ubicar la educación inclusiva que supone un paradigma que ofrece una educación equitativa y de calidad para todo el alumnado, con independencia de sus características

individuales y que elimina cualquier forma de discriminación y acoso. Asimismo, se hablará sobre la atención a la diversidad y los factores que pueden perjudicar su desarrollo en las aulas. Finalmente, se expondrá los temas tratados en este volumen de la revista RETOS XXI.
Desarrollo de Competencias Digitales en estudiantes de Secundaria: un diagnóstico para la implementación de un proyecto de gestión del aprendizaje
Authors: Prior Rodriguez Liliana , Pérez Cáceres Silverio , Méndez Casanova Elba María
Published: February 2024

Las competencias digitales constituyen un conjunto de conocimientos, habilidades y actitudes claves para formar a un ciudadano competitivo en un mundo cada vez más digitalizado que exige ir más allá de solo tener las habilidades para usar las TIC, ya que ser competente digitalmente involucra varias áreas según el Marco Europeo de Competencias Digitales para la Ciudadanía. En este contexto, el presente trabajo describe la fase diagnóstica de un proyecto para gestionar el desarrollo de competencias digitales en estudiantes de secundaria del Colegio Tepeyac en Poza Rica, Veracruz, utilizando la metodología de Investigación - Acción. Se aplicaron instrumentos con el objetivo de conocer: los estilos de aprendizaje, condiciones de estudio y nivel de competencia digital. Los resultados indican que se requiere utilizar estrategias que consideren los tres estilos de aprendizaje; es necesario apuntalar algunas condiciones de estudio para un mejor rendimiento; y fortalecer las siguientes áreas de competencia digital: Búsqueda y gestión de información y datos, creación de contenidos digitales.
formación del profesional de la carrera Español-Literatura centrada en la investigación
Authors: Borot Peraza Edgar , García Caballero Ángela María , Martínez Santana Marlen , Fierro Chong Bárbara Maricely
Published: February 2024

La educación superior debe contribuir a la formación integral de sus profesionales, brindando herramientas desde la formación inicial para que, una vez graduados, puedan insertarse en un entorno laboral exigente, cada vez más comprometido con la utilización de la ciencia como camino vital para la transformación educativa y social. En ese empeño, la participación activa de los estudiantes universitarios en grupos científicos estudiantiles constituye un espacio necesario de crecimiento humano y profesional. De igual modo, la certera conducción de los profesores como ejemplo de investigadores, permitirá brindar un mejor modo de actuación profesional. El artículo aborda un problema cardinal de la educación superior cubana y contemporánea, cómo favorecer una mejor formación de sus profesionales que cada vez esté más centrada en la investigación, como vía de crecimiento permanente. Entre los métodos utilizados estuvieron análisis-síntesis, inducción-deducción, observación participante y análisis del producto de la actividad. La propuesta contribuye a perfeccionar la labor formativa del nuevo profesional de la carrera Español-Literatura.
Las emociones, la genética y la neurociencia en la atención educativa a la diversidad
Authors: Pérez Yaima , Pérez Chávez Diana Estela , Martínez Morales Pablo Ángel
Published: February 2024

La siguiente monografía tiene como objetivo determinar la relación que existe entre la genética, la neurociencia y las emociones y su importancia en la atención educativa a la diversidad. Hace tan sólo unas décadas la comunidad científica no ha comenzado a tomar en serio la importancia de las emociones en los procesos de la razón, y sus repercusiones, en todos los ámbitos de la vida humana. En este sentido, la cuestión consiste no sólo en informar sobre la necesidad de conocer cómo funcionan las emociones en la unidad cuerpo-mente del organismo humano y en la interacción con el entorno, sino también en asumir la responsabilidad educativa al respecto. No hay función mental sin un cerebro y un contexto social, por lo que las emociones son producto del organismo codificado por su genoma en adaptación a la experiencia social.
Resilience in the face of adversity: Exploring junior high learners’ perspectives and experiences of blended learning during the COVID-19 pandemic
Authors: Balanga Uriel Rei Dacoco , Cabuquin Jomar Cobacha
Published: February 2024

The COVID-19 pandemic significantly impacted education, revealing inadequacies and inequalities within the educational arena. This led to the emergence of blended learning as a necessary response, driven by integrating digital technology into teaching and learning. This paper explores the perspectives and experiences of junior high learners in the implementation of blended learning modality at a particular public high school institution in Eastern Visayas, Philippines. A qualitative approach using a single case study design was utilized, and the participants were selected using a purposive sampling procedure. Using Braun and Clarke’s thematic data analysis method, the study generated three themes regarding learners’ perspectives: the advantages of blended learning, limitations of blended learning for optimum learning, and ambivalent perceptions of learners towards blended learning. Moreover, five themes emerged regarding learners’ experiences of blended learning: affective issues in learning, distractive learning environment, time constraints as a learning barrier, internet connectivity issues, and challenges of quality education in blended learning implementation. As a result, school administrators, teachers, parents, and the entire academic community should strengthen their collaboration to promote and ensure the attainment of quality education in the blended learning setup. The results of this study can also assist future related research in knowing how blended learning modality can be better implemented.
The Relationship between Employment Status and Maternal Nutrition Patterns in Providing Exclusive Breastfeeding in Mangunsari Village, Lumajang Regency
Authors: Candra Wahyuni  , Remita Ayu Agustin  , Miftakhur Rohmah  , Riza Tsalatsatul Mufida
Published: February 2024

Breast-feeding to newborns is one of the efforts to prevent death and undernourishment problems in infants and toddlers, about 15% of the total incidence of children under five years of age in developing countries asa result of exclusive breast-feeding. Exclusive breast milk that is given to infants for up to 6 months is not added to other foods such as formula, lemon, honey, tea, water, bananas, milk porridge, cookies, and other foods. Infants who are exclusively breast-fed can avoid diseases. Sick infants are given exclusively by breast feeding can accelerate. This journal's search process electronically and online using one database, which is googgle sholar from 2015-2020 . The inklational criteria of the journal have the same variable as research, the journal used is the journal's 30-200 Indonesian respondents. Based on the journals received results that from the six journals it is evident there is a link between work status and a nutrient pattern in exclusive breast-feeding. This is confirmed by prior research. Thus, mother's work and nutritional patterns influence exclusive breast-feeding.
The Effect Of Carrot Juice (Daucus Carota L) On Reduce The Degree Of Dysmenorrhea In Adolescent Women At State High School 1 Sampit, Kotawaringin Timur Regency
Authors: Tety Ripursari  , Emi Yunita  , Titis Putri Antari
Published: February 2024

During menstruation women sometimes experience pain, the nature and level of pain varies, depending on each woman's pain threshold. Excessive pain during menstruation is called dysmenorrhea and one of the treatments for dysmenorrhea is non-pharmacological. The purpose of this study was to analyze the effect of Carrot Juice (Daucus Carota L) on reducing the degree of dysmenorrhea pain in adolescent women at State High School 1 Sampit, East Kotawaringin Regency.The research design used was a pre-experimental design method with a pretest-posttest design using a cross-sectional approach. The sample in this study were 46 respondents with purposive sampling. The results of bivariate analysis using the Wilcoxon Test Statistical test with α 0.05.From the results of the study it was found that the majority of respondents experienced controlled severe pain before being given carrot juice, namely as many as 28 respondents (60.9%), Almost all respondents experienced moderate pain after being given carrot juice, namely as many as 36 respondents (78.3%). The results of statistical tests using the Wilcoxon test showed that p value = 0.000 <α (0.05), which means that H0 is rejected, H1 is accepted. means the effect of Carrot Juice (Daucus Carota L) on Reducing the Degree of Dysmenorrhea Pain in adolescent women at State High School 1 Sampit, East Kotawaringin Regency.Provision of carrot juice (Daucus Carota L) is effective for reducing the degree of dysmenorrhoea pain in young women, so it is expected that schools and health workers will provide socialization to overcome dysmenorrhoea pain with non-pharmacological alternatives, namely using carrot juice.
The development of music education in the context of multiculturalism
Authors: Daofeng Si
Published: February 2024

Based on the multicultural perspective, this paper elaborates the development concept, dimension trend and countermeasures of music education in today's multicultural perspective from three aspects: its inevitable connection with the development of music education, its relationship with the development dimension of music education and its relationship with the development and promotion of music education.
The economic and industrial potential of the Soviet Don: lessons from previous experience
Authors: Chuev Sergey
Published: February 2024

This article analyzes the features and dynamics of industrial and economic development of the Soviet period on the example of one of the largest regions - the Rostov region. The author draws attention to both the obvious achievements and shortcomings of the socialist model of industrial and technological development. The greatly increased industrial potential, built primarily for the creation of means of production, proved unable to meet the consumer demand of the population. The modernization initiatives of the beginning of perestroika did not lead to fundamental changes in the situation of industry and the economy.
Extremely Partisan Samples Distort Perceptions of Group Beliefs
Authors: van der Valk Alexandra Mary , Walker Alexander C. , Fugelsang Jonathan Albert , Koehler Derek J.
Published: February 2024

How do we infer the beliefs of an entire group (e.g., Democrats) after being exposed to the beliefs of only a handful of group members? What if we know that the beliefs we encountered were selected in a biased manner? Across two experiments, we recruited 640 U.S. residents and assessed whether they could correct for known sample bias. Some participants viewed biased samples that exclusively presented the political beliefs of extreme partisans while others viewed representative samples free from selection biases. We find evidence that people correct for known sample bias, but do so insufficiently, leading them to make inaccurate inferences that are aligned with sample bias. Specifically, participants overestimated the ideological extremity of Democrats and Republicans to a greater extent when exposed to explicitly biased—compared to representative—samples. We discuss how peoples’ tendency to insufficiently adjust from transparently biased samples leads to partisan misperceptions that amplify political polarization.
Investigating the effects of cold plasma on cancer cell migration in the presence of a static magnetic field
Authors: Mehrabifard Ramin
Published: February 2024

Cold plasma is used in a wide range of applications [1]–[3] One of the primary uses of plasma is in the field of medicine. Moreover, many techniques have been suggested to enhance plasma performance, among which the inclusion of an external static magnetic field is one [4], [5]. This paper used a low-power (20-watt) RF 13.56 MHz plasma to investigate the effect of cold plasma on cancer cells' migration rate in the presence of a static magnetic field. The result of the scratch healing assay is shown in Figure 1 (Ⅰ and Ⅱ). The results are evaluated after 24 hours. Figure 1 (Ⅰ-A) is before plasma treatment (control), (Ⅰ-B) is without treatment, (Ⅰ-C) is 15 seconds of plasma treatment, and (Ⅰ-D) is plasma and SMF treatment. The area of free space in the created gap has been evaluated by image processing software. The percentage of free space compared to the total space is specified in the diagram (Figure1-Ⅱ). As shown in the figure, the empty space for the state where the plasma is combined with the magnetic field is twice the state of the plasma alone. One of the main components of plasma that changes the presence of a magnetic field is the density and temperature of electrons in cold plasma. The electron temperature was evaluated based on the Boltzmann plot method, and the electron density measurement was calculated using the Saha-Boltzmann equation (figure 1-Ⅲ). The Boltzmann diagram is drawn using the used plasma spectrum, which was used in the previous work [6]. The calculation indicates that the electron temperature Te and electron density ne is estimated as 1.04 eV and for the absence of SMF, and 1.24 eV and for the presence of SMF, respectively Although several factors are involved in the effect of plasma, in this work, the temperature and electron density of the plasma were evaluated. Because apart from the direct impact on the target, the electron also affects the density of the ions. The findings indicate that the presence of a stationary magnetic field in close proximity to a plasma significantly regulated the migratory rate of cancer cells.
Global Power Shift and Nepal's Geopolitical Complexity
Authors: K.C. Khadga
Published: February 2024

The process of globalization, with the flow of people, merchandise, and capital, has invited different challenges, threats, and insecurities. Thus, the idea of border governance has emerged among the states, calling for a collaborative approach to border management systems between the neighboring states. As a qualitative study adhering to the "practice turn" in International Relations (IR) and considering human actions responsible for constructing social realities, the study has focused on the Nepal-India open border. As a unique border, the study has pointed out different threats and challenges faced by Nepal and India because of their openness. The article has briefly elucidated the emerging concept of border governance. Likewise, it has introduced the idea of border governance for Nepal-India open borders, outlining its principles and strategies. Overall, the study emphasized the importance of border governance for Nepal-India borders, recognizing border disputes and enormous challenges.
Brain Tumor Detection Using Convolutional Neural Networks (CNNs)
Authors: Aryal Sangam , Sharma Sangeeta , Sedai Siddhant , Aryal Prashraya , Mansur Jalauddin
Published: February 2024

Brain tumors are a serious medical condition that requires early detection for successful treatment. However, accurate diagnosis can be difficult and time-consuming, and current methods such as MRI scans can be expensive and may require highly trained specialists to interpret the results. A model of a brain tumor detection system using Convolutional Neural Networks (CNNs) has been proposed to address these challenges. To use this model, a dataset of medical images of the brain is collected, the dataset is then preprocessed, and the relevant feature is extracted from the images using CNNs. The developed CNN model is designed and trained to accurately detect the presence and location of brain tumors in the images. Optimization of the CNN model's performance is done by experimenting with different architectures, hyperparameters, and optimization techniques, and its performance is evaluated using metrics such as accuracy, sensitivity, specificity, and F1 score. The model training was carried out on MRI images containing tumors and without tumors. The developed CNN-based model achieved impressive accuracy in detecting brain tumors, demonstrating high precision and recall rates. This brain tumor detection system has the potential to significantly improve the accuracy and efficiency of brain tumor diagnosis, leading to better treatment outcomes and reducing the burden on healthcare systems.
Blade Structure Analysis of 2 MW V-Shaped Vertical Axis Wind Turbine Using Numerical Simulation
Authors: Sharma Aastik , Zhang Lei , Qu Jianjun , Panthi Sagar , Tharu Janak Kumar
Published: February 2024

The intensive research on large-scale Vertical Axis Wind Turbine (VAWT) couldprovide an alternative to Horizontal Axis Wind Turbine (HAWT) in offshore deployment for the future. Regarding this fact, this article develops a conceptual design of the VAWT blade structure and analyzes its feasibility using numerical simulation. The blade structure is designed for 2 MW Darrieus type V- shaped VAWT. The blade is tapered, 90m long, and inclined at 35° to the vertical axis. Initially, the blade design is tested for ultimate strength test according to IEC 61400-01 standard using aluminum alloy and homogenized composite material. In doing so, maximum aerodynamic loading on the blade is calculated after steady state 3-D RANS CFD simulation of the blade in ANSYS Fluent. The Finite Element Method (FEM) model of the blade is created using shell element in ANSYS Static Structural with structured meshing strategy, and tested with the aerodynamic load using the one-way Fluid-Structure Interaction (FSI) technique, to obtain mesh independent solution. The impact of the using 2, 3, and 4 number of shear webs is then analyzed on the selected mesh model of the blade. Finally, a four-shear web model of the blade is tested under extreme conditions. The thickness of the blade surface and shear web are varied to test maximum deflection at the tip, and maximum allowable strain of the blade. After obtaining the required blade structure, the deformation, maximum equivalent stress, and maximum equivalent strain for the blade are studied at rotation Tip Speed Ratio (TSR) of 5 under aerodynamic and gravitational loading, using both materials. The study showed significant deflection at the tip of the blade for the tower-less V-VAWT blade, suggesting an alternative support mechanism for the blade. Also, the study concluded that better structural robustness is achieved while using a composite material instead of an aluminum alloy. This article provides basis to study structural behavior of the novel V-VAWT blades and contribute to continuing research on obtaining optimized blade structure for such turbine.
Mountaineering Stories of Adventurous Women: A Brief Survey
Authors: Gautam Pragya
Published: February 2024

This article looks at the dream and the achievement of adventurous women in the field of mountaineering. It focuses on Everest climbing and the narrations of Lhakpa Phuti Sherpa, a Nepalese mountaineer, Rebecca Stephens, the first British Everest climber, and Lene Gammelgaard, the first Scandinavian woman to summit Mount Everest. The magic of Mount Everest, its beauty, mystery, and majesty lures the women's adventurous souls. They are emotionally and spiritually connected to the mountains because the high peaks are the sources of peace, happiness, and enlightenment to them.

Mountaineering, the art of climbing mountain peaks, is a perilous sport that attracts climbers from all over the world. Despite the challenges, the climbers risk their lives to thin air, frostbite, bone-chilling temperatures, avalanches, and powerful winds. They understand that getting to the top is not always simple, but it is worthwhile because it represents self-conquest, and touch with greater power. In this article, the three women climbers mention their invincible courage and inexhaustible stamina to ascend the steep and rugged snow peak of Mount Everest.
Antibacterial Activity of Zanthoxylum Armatum (Timur) on Gram Positive Bacteria and Gram Negative Bacteria
Authors: Shrestha Sunita
Published: February 2024

Zanthoxylum armatum is commonly known as Timur which is a major indigenous spice of Nepal. The objective of this research work is to determine the antibacterial activity of Z. armatum. The fresh fruits seeds of Z. armatum were collected from Pyuthan District of Nepal. About 25 gram of seeds were grinded to make powder and mixed with 500 ml ethanol for ethanol extraction. Then, extraction was separated by filtration and left for time until residue obtained. The residue obtained was mixed with DMSO (10%) and diluted to 1% and 10% dilution. Agar well diffusion method was done for studying antimicrobial activity for the Gram positive bacteria (Staphylococcus aureus and Bacillus spp.,) and Gram negative bacteria (Escherichia coli, Klebsialla pneumonia, Salmonella Typhi and Shigella dysenteriae). For the quality control of test, antimicrobial activity of Z. armatum was also done for Staphylococcus aureus (ATCC: 25923) and Escherichia coli (ATCC: 25922) along with positive control (Oflaxacin) and negative control (10% DMSO). Among different concentration of 1%, 10%, and 100% of ethanol extract of Z. armatum, 10% and 100% of ethanol extract were found to be effective for both Gram positive bacteria and Gram negative bacteria. From this study, it was concluded that antibacterial activities of Z. armatum was found to be effective.
Combination of Image Enhancement and U-Net Architecture for Cervical Cell Semantic Segmentation
Authors: Rudiansyah Rudiansyah , Iryani Lemi , Kesuma Lucky Indra , Sari Puspa , Alamsyah Agung
Published: February 2024

Cervical cancer is the second leading cause of death in women and ranks fourth as a disease that occurs in women worldwide. Cervical cancer is a disease that is difficult to detect and can be detected when it is in an advanced stage. This requires early prevention by carrying out a pap-smear examination. Pap-smear examination manually requires a relatively long time, so a tool is needed by segmentation. Segmentation is image processing by performing perfection between the intended object and the background. One of the CNN methods commonly used in medical image segmentation is the U-Net architecture. Segmentation in this study was carried out on the nucleus and cytoplasm of the Herlev dataset using the U-Net architecture combined with data augmentation and image enhancement. In the learning process, this research resulted in a fairly high IoU value of 78% and an RMSE close to 20%. The results of this study also yielded an accuracy value of 89%, with an average precision, recall and F1 score of 89%, 89% and 88.67%, respectively. This shows that the combination of the CNN U-Net architecture with image quality improvement and data augmentation is quite good at segmenting cervical cells for the nucleus and cytoplasm
Analysis of Power Quality in Low Voltage Switch Panels in Real-Time Based on IoT Using the Fuzzy Logic Method
Authors: Rahmawati Yosy , Fadhilla Karima Langgeng , Kadarina Trie Maya
Published: February 2024

This far power quality analysis from the PHBTR monitoring system is still done manually. This condition creates several challenges in efficiency and accuracy in detecting and responding to changes in PHBTR power quality. With manual processes, collecting and analyzing data related to power quality can be time consuming, and there is the potential for delays in identifying disturbances or anomalies that could affect PHBTR performance. Therefore, in this research an innovative step was taken by applying the fuzzy logic method to simplify and increase the accuracy of automatic power quality analysis. From the analysis results, it was found that the power quality at the MCC4, GRL2, and CKG116 substations when viewed from voltage, current, frequency, and temperature, the three substations were at normal indications (91.32) and in good condition (76.32). However, the load balance quality of the three substations is still not balanced with load imbalance percentages of 110%, 52% and 17% respectively. This is because there are consumers in one phase using higher power than consumers in another phase, so a load imbalance will occur. This can be caused by differences in the use of electrical equipment or loads on each phase. Through this effort, it is hoped that significant improvements in the efficiency and responsibility of the PHBTR monitoring system can be achieved
Oceanographic Parameter Measurement System Based on LoRA Communication Module
Authors: Amir Ashadi , Suwardoyo Untung , Pratami Irwan Irninthya Nanda
Published: February 2024

Measurement of oceanographic parameters is needed to determine the condition of the ecosystem in the water area so that it can be the basis for carrying out conservation activities in marine waters. Measurement of physical and chemical parameters used manually which causes the data obtained is still susceptible to observational errors. In this study, a system was designed that can measure oceanographic parameters periodically. The designed system consists of a temperature sensor, turbidity sensor, pH sensor and TDS sensor integrated with a microcontroller device. The system consists of two main parts, a sensor node that has a function as a transmitter and a gateway that has a function as a receiver. Initial testing is done by calibrating and validating data for each sensor used. The next test was carried out by testing the transmission of data from the measurement of oceanographic parameters in the form of water pH, salinity, water temperature and water turbidity from the sensor node to the gateway using the LoRA Ebyte E220 communication module. The test results show that the sensor node measurement data can be sent to the gateway by setting the distance between devices as far as 500 meters. The resulting data transmission delay is in the range of 2-10 seconds