bluuebunny/crossref_metadata_2025 huggingface dataset:
The attractiveness of soviet life in the perceptions of the population of a multinational region (based on materials of the Republic of Bashkortostan)
Authors:   R. G. Kuzeev Institute for Ethnological Studies of the Ufa Federal Research Centre of the Russian Academy of Sciences, Kamaletdinov Dalmir A.
Published: December 2024

The article is devoted to the study of modern views of Russians on the history of the Soviet past.
The subject of the study is the ideas of residents of a multinational region — the Republic of Bashkortostan, which reflect the specific attractiveness of everyday life in the Soviet era — a time of large-scale political, legal, socio-economic and cultural transformations. As is known, the historical memory of society includes a wide range of impressions about the heyday of the socialist system. The work shows the importance of the ethnic factor in the formation of everyday judgments about the positive aspects of the Soviet way of life. The goal set by the author determined the use of general scientific (analysis, synthesis, abstraction, generalization), special historical (historical and comparative, the principle of historicism, systems approach) and sociological methods (mathematical and statistical analysis of empirical data), as well as an interdisciplinary approach, most often used by scientists in related fields of social and humanitarian knowledge. The main source material is the results of ethnosociological studies conducted in the republic in question (2018). Interpretation of the questionnaire data showed both similarities and differences
between the answers of representatives of different ethnic groups to the question «In your opinion, was there anything particularly attractive in “Soviet life”?» A significant part of the population paid attention to a number of important components of life during the years of the USSR. This is confidence in the future, free access to a number of basic needs (education, health care and housing), and the absence of problems with employment of citizens. But among the respondents there were also those who did not find anything attractive for themselves in Soviet life.
Development of Criteria for Assessing Nutritional Status in Moscow Children and Adolescents Using Bioimpedance Analysis Data
Authors: Rudnev S. G. , Ivanova A. E. , Godina E. Z. , Zubko A. V. , Starodubov V. I.
Published: December 2024

Background. Body composition assessment plays an important role in characterizing physical development, monitoring health status, diagnosing nutritional disorders, and assessing disease risks.

Objective. To develop the criteria for assessing nutritional status in Moscow children and adolescents using bioimpedance analysis data.

Materials and methods. The research used data from a non-clinical, cross-sectional, observational study on the body composition of children and adolescents aged 5–17 in Moscow health centers from 2010 to 2019 by the method of bioimpedance analysis. A total of 115,200 persons were assessed, including 61,430 boys and 53,770 girls. Bioimpedance measurements were taken using bioimpedance analyzers according to a standard four-electrode assessment scheme in the supine position with disposable bioadhesive ECG-electrodes placed on the patient’s wrists and ankles. The relative fat mass (RFM) was assessed using the percentage of fat mass (%FM) and the fat mass index (FMI). The criteria for assessing RFM were the cut-offs of %FM and FMI calculated based on the centiles of BMI thresholds according to the IOTF ageand sex-specific criteria. Polynomial smoothing was then applied. In the same way, the criteria for assessing the relative fat-free mass (RFFM) were derived based on the cut-offs of the fat-free mass index (FFMI).

Findings. Diagnostic tables were designed to determine the RFM and RFFM in Moscow children and adolescents. The prevalence of normal weight obesity was assessed.

Conclusion. The study results can be used in clinical, preventive, or sports medicine to diagnose and correct nutritional status disorders as well as to monitor physical development.
Evaluating the Reserves for Reducing Cancer Mortality by Avoidable Deaths in Moscow
Authors: Savina A. A.
Published: December 2024

Background. Oncological diseases significantly contribute to the overall female mortality, so it is crucial to evaluate the reserves for reducing mortality from neoplasms in Moscow. Avoidable mortality includes the cases that could have been avoided with timely diagnostics, adequate treatment, and preventive measures.

Objective. To identify the main causes of death from neoplasms among the Moscow female population, which could be avoided by organizing medical care and introducing new technologies, methods, and educational programs.

Materials and methods. The authors used the official data of the Federal State Statistics Service of the Russian Federation (ROSSTAT) on deaths by causes of death according to several nosological entities and the ICD-10 chapter for neoplasms, all of which were defined as the initial causes of death in women in general and in certain age female groups in particular.

Results. Despite the overall decrease in cancer mortality, malignant neoplasms remain the second leading cause of death. Currently, a steady trend of reducing avoidable mortality has been observed in Moscow. In 2022, malignant neoplasms mostly contributed to the avoidable cancer mortality in the Moscow female population (0-85 years): breast (C50) – 16.7%; colon (C18) – 11.3%; pancreas (C25) – 9.0%; stomach (C16) – 7.5%; trachea, bronchus and lung (C33-C34) – 7.1%; rectum (C20) – 4.9%.

Conclusion. The analysis of the structure of cancer mortality in the Moscow female population showed that malignant neoplasms of reproductive system contributed the most. Thus, it is critical to analyze the reserves based on avoidable deaths from neoplasms among women in Moscow and then to develop targeted measures for improving the health of citizens and reducing the mortality rate in Moscow.
Maternal Mortality in the Context of the Aging Female Population in Moscow
Authors: Savina A. A. , Arkhangelskiy V. N. , Zemlyanova E. V.
Published: December 2024

Background. Maternal mortality is a key indicator characterizing the status of the healthcare system and the social well-being of the population. Most of the countries, especially developing countries, still face the problem of maternal mortality. Maternal age at birth is one of the main factors affecting maternal mortality. The studies show that women under 20 and over 35 are at high risk of pregnancy and delivery complications. During the past decades, the changes in social, economic, and cultural settings have resulted in an increase of the average maternal age in many countries, including Russia.

Objective. To analyze maternal mortality in the context of the aging maternal age structure using the case of Moscow.

Material and methods. The research used the official data from the Federal State Statistics Service of the Russian Federation (Rosstat).

Results. The study investigated the correlation between changes in the age structure of women at birth and maternal mortality dynamics. The majority of maternal deaths is observed in women aged 30–40, especially in the 30-34 age group. The study confirmed the global trend towards an increasing age of first-time mothers. The aging of maternal age structure presents challenges for healthcare. The study results could be used to develop effective measures for reducing maternal mortality in the context of the aging maternal age structure.
Moscow Population Before and After the COVID-19 Pandemic
Authors: Savina A. A. , Zemlyanova E. V.
Published: December 2024

Background. Moscow managed to overcome the challenges of the COVID-19 pandemic by increasing the efforts of the healthcare system and maintaining the birth rate. As a result, the population growth in Moscow remained steady. Like any metropolis, Moscow faces the issue of an aging population, largely due to increased life expectancy, which presents significant challenges for sustainable societal development.

Objective. To evaluate the size, composition, and structure of the Moscow population before and after the COVID-19 pandemic.

Materials and methods. The authors used the official population data from the Federal State Statistics Service of the Russian Federation (ROSSTAT) and demographic information from the Moscow and Moscow Oblast offices of ROSSTAT (MOSSTAT), focusing on age and gender distributions across municipal areas. The results were visually represented using cartographic tools from the Integrated Data Warehouse of the Information and Analytical System for Comprehensive Development Monitoring in Moscow.

Results. In 2021, Moscow's population experienced a decline primarily due to the significant negative effects of the COVID-19 pandemic. However, the number of residents began to increase again afterward. The Moscow population reduced only in 2021 due to the tremendous, negative impact of the COVID-19 pandemic, then the growth in the number of residents recovered. The analysis of the Moscow population pyramid demonstrated a substantial shift towards the older generations. On average, the population of Moscow is two years older than that of the Russian Federation as a whole.

Discussion. The demographic landscape of Moscow underwent substantial changes during the pandemic due to complex dynamics in demographic processes. High rates of morbidity and mortality from COVID-19 led to a temporary decrease in the Moscow population and altered natural population movement indicators.

Conclusion. Studying the impact of the COVID-19 pandemic on the population size and structure helps to forecast long-term consequences for health and the demographic situation in Moscow. This understanding is essential for developing the relevant improvement programs.
Age and Sex-Related Characteristics of Obesity-Associated Adult Mortality
Authors: Savina A. A. , Feyginova S. I. , Zemlyanova E. V.
Published: December 2024

Background. Obesity and associated diseases could substantially affect life expectancy by increasing the risks of premature mortality.

Objective. To evaluate the changes in the age and sex distribution of adult mortality from obesity-associated causes in Moscow from 2011 to 2020 in comparison to the average national indicators.

Materials and methods. The analysis focused on standardized death rates among the adult population, categorized by sex and age groups (aged 20–54, aged 55–59, aged 60 and older).

Results. In Moscow, mortality from atherosclerotic cardiovascular disease significantly reduced, especially in persons aged 20–54. The reduction in mortality rate from cerebral infarction was higher in Moscow, especially in individuals aged 55 and older, across both sexes. Conversely, the incidence of ischemic heart disease mortality in Moscow has risen. The study showed an increase in mortality from endocrine diseases, including type 2 diabetes, which may be partly explained by the revised guidelines for coding primary causes of death. In addition, the dynamic in Moscow was more favorable. The mortality rates from malignant neoplasms in Moscow were 8% lower than in Russia, and mortality trends were rather favorable, both in Moscow and Russia. However, mortality rates and trends vary significantly depending on the type of malignancy.

Conclusions. A favorable trend was observed in mortality from obesity-associated diseases, such as acute cerebrovascular accident (cerebral infarction) and some malignant neoplasms (colorectal cancer and breast cancer in women). The negative trends in mortality from such chronic diseases as ischemic heart disease and type 2 diabetes were observed. Men aged 55–59 have been identified as a risk group for these negative trends. Therefore, it is necessary to expand the preventive measures targeting these at-risk groups.
Moscow and Moscow Oblast: Commonality and Specificity of Mortality Trends and Causes of Death
Authors: Semenova V. G. , Ivanova A. E.
Published: December 2024

Background. The increasing life expectancy of the population of Russia and its regions is high on the agenda. Numerous studies have investigated population losses at the national level; however, such an approach hasn’t enabled to identify region-specific features.

Objective. To identify the commonality and specificity of health issues in the population of Moscow and Moscow Oblast in the 2000s.

Materials and methods. The research used data from the Federal State Statistics Service of the Russian Federation (Rosstat) on the mortality of the population of Moscow and Moscow Oblast from leading causes in the 2000s, including the 2019–2022 COVID-19 pandemic period.

Results. In the 2000s, steady positive trends in life expectancy due to all the leading causes of death were observed both in Moscow and Moscow Oblast. At the same time, divergent mortality trends in Moscow and Moscow Oblast were noted for only one cause, i.e., gastrointestinal diseases: the mortality rates decreased among the population of Moscow and increased among the population of Moscow Oblast. The increasing mortality from socially important causes of death (such as infectious diseases) among the female population along with the decreasing losses in the male population were a common problem for both Moscow and Moscow Oblast.
Socio-Demographic Indicators of Municipalities in International Practice: a Review of Approaches to Clustering and Assessing Population Health
Authors: Feiginova S. I.
Published: December 2024

Introduction. The socio-demographic status of residents is a significant factor for differentiating territories by the public health level at the national, regional, and municipal levels. To develop and implement measures aimed at improving population health, it is advisable to consider the social and demographic structure of municipalities. This should be followed by typological classification and clustering according to the level of development and demographic potential as part of the execution of the state assignment of Moscow Healthcare Department (Reg. No. NIOKTR 123032100064-0).

Purpose. To conduct a review of socio-demographic indicators used in international practice for further formation of a socio-demographic profile of districts and municipalities of Moscow based on Census data.

Materials and methods. Content analysis was conducted on international and Russian scientific publications accessible through international databases such as Web of Science, Scopus, Google Scholar, ResearchGate, eLibrary, and CyberLeninka. The units of analysis were the queries “socio-demographic indicators” and “municipal” with “public health” as an adjustment.

Results. The most frequently used indicators were identified. In almost all the studies, income level and education were mentioned; employment status (including the unemployment rate) was studied slightly less frequently; age distribution of the population was ranked 4th, followed by social class and social cohesion; living conditions and behavioral factors were presented only in 2 of 13 studies.

Conclusions. Based on a review of international experience and Russian research, it seems appropriate to use the following indicators to form a socio-demographic profile of administrative districts and municipalities of Moscow based on Census data: population size, age, and sex composition (especially the ratio of children to the elderly), components of natural population change (birth rate, mortality), education, income and source of livelihood, employment status, living conditions, and other indicators.
Analysis of Basic Testing Using Smoke Testing in Asset Inventory Information Systems
Authors: Anardani Sri , Jayadi Puguh , Harly Daniswara Andhika Putra
Published: December 2024

The creation or development of a system must go through a testing phase with the aim that before the system is implemented by the user, bugs or errors can be detected at the start. The PGRI Madiun University Asset Inventory and Documentation Unit (UIAD) is currently building and developing an information system for managing inventory, asset and document data. So far, data management still uses manual recording on paper forms. This creates a problem of inconsistency between data in the field and data in the unit. To improve the quality of the UIAD information system so that it is more optimal, it is necessary to carry out basic testing with smoke testing to ensure that the basic features function properly.  The aim of this research is to test the basic functionalities of the UIAD information system with smoke testing to provide recommendations for improvements in order to improve the quality of the UIAD information system. Testing is carried out manually with 3 types of test cases, namely login test case, master test case and asset test case. The test results show that the login test case passed 100%, the master test case passed 100%, and the asset test case passed 80%. Based on the test results, it is very important to carry out smoke testing on the basic functions of the system before the system is used so that bugs or errors can be found so that corrective action can be taken more quickly.
Optimization Algorithms for Enhancing Fulfillment Engine Services in High-Demand Environments
Authors: Bogi Bhageerath
Published: December 2024

A hierarchical production planning system in a make-to-order setting is discussed in this work. Finding optimal production parameter settings to take use of well-established planning techniques is a difficult issue in this situation. In order to improve the systems overall efficiency, we provide a modular power system in this study that uses a Hydraulic Free Piston Engine (HFPE) as the power unit. We also design a power distribution control approach. The best practices and strategies for putting them into practice are determined. The usage of energy-saving technology, techniques for boosting recovery during braking, strategies for energy-efficient energy consumption, and ways to improve the traction drive's energy efficiency are all taken into consideration. This is because to server availability issues and resource limitations. Fault tolerance, migration prediction, and just anticipating failure are a few instances of algorithms having a single purpose. Fault tolerance is another example. The goal of this study is to identify the best course of action for switching from a poorly performing system to one that is doing effectively. The ability to anticipate a virtual machine's failure in a timely manner is crucial because of problems like wasted resources, energy, and money. The reliability of virtual machines, or VMs, has been a problem from the early days of cloud computing. Preventive procedures are an essential part of a fault tolerance system and are necessary to ensure service continuity. This means that improving and highlighting the proactive failure prediction of virtual machines is essential. Reduced downtime and improved scalability are the main drivers behind this. To safely move the resources that were expected to fail from one virtual machine (VM) to another, a strategy was used. The migration took less time to finish when the compression technique was used, but resource use went up. Effective defect prediction approaches in cloud computing are made possible by artificial intelligence in this article, which enhances resource optimisation.
Digital Natives and Digitalization for Building Early Childhood Education Future in Nigeria
Authors: ATAKPO Theresa Edirin
Published: December 2024

The study examined digital natives and digitalization for building early childhood education future. The digital revolution has transformed the way children learn and interact, giving rise to a generation of digital natives. This paper explores the potential of digitalization to enhance early childhood education, highlighting benefits such as personalized learning, increased accessibility and improved engagement. However, challenges and limitation including equity and access, teacher training and digital literacy must be addressed. It was concluded that digital natives and digitalization have the potential to revolutionize early childhood education. By embracing technology and digital tools, educators can create personalized, engaging, and effective learning experiences for young children. It was also recommended that to build a strong early childhood education future, stakeholders such as parents, teachers, government and policy-makers should; integrate technology meaningfully into the curriculum, foster digital literacy in children and evaluate the impact of digitalization on learning outcomes.
Facing Global Inflation: The Role of the People’s Economy in Building Economic Independence in 2025
Authors: Arisinta Octaviana , Subroto Waspodo Tjipto , Canda Sakti Norida
Published: December 2024

In the face of global inflation which is expected to increase by 2025, the people’s economy is one of the strategic solutions to build people’s economic independence. The populist economy, which is based on the strength and participation of the people, prioritizes the principles of social justice and sustainability in resource management. Through the development of Micro, Small, and Medium Enterprises (MSMEs), the people’s economy is able to improve people’s welfare by creating jobs, encouraging innovation, and strengthening local competitiveness. This study aims to analyze the role of the people’s economy in building economic independence in the midst of global inflation challenges. With a theoretical approach that includes social justice theory, sustainable development, and local economics, the study identifies a range of strategies that can be applied to empower MSMEs and increase community participation in economic activities. The results of the study show that although MSMEs have great potential in supporting the local economy, they still face significant challenges such as access to capital and technology. Therefore, policies that support the development of MSMEs are needed so that they can contribute optimally to creating economic independence in Indonesia by 2025.
The Epidemic of Meaninglessness and the Rising Cases of Suicide in Nigeria
Authors: Ehusani Richard
Published: December 2024

Recent reports suggest that suicide is on the increase in Nigeria. Although governmental and private organisations are making efforts to address the menace with mental health awareness campaigns and the push to decriminalise suicide attempts, these efforts seem oblivious to a critical aspect of the problem, that is, the crisis of meaninglessness that potentially leads to suicidal ideation. This paper highlighted the link between existential meaninglessness and suicidal ideation. It then demonstrated how some of the recent changes in Nigeria’s social landscape could be triggering subjective experiences of existential meaninglessness and despair, thereby leading to higher rates of psychopathology and resulting in deaths by suicide. The following societal factors were identified: Changing family values and structures, shrinking human connections, decline in religion, social media inauthenticity, and poverty and economic frustration. Evidence-based pathways to meaning in life, such as religion, social connectedness, and self-connectedness, were also reviewed and recommended for preventing or reducing the experience of meaninglessness and suicidal thoughts. The paper concluded that suicide prevention efforts in the country and suicide-specific psychotherapeutic interventions could be more effective if they go beyond mental health awareness creation to involve strategies that could promote a subjective sense of meaning in life despite the changing social realities in the country. Future research could focus on measures of meaning in life to determine the extent to which Nigerians feel their lives are significant, purposeful, and coherent amidst external social factors. Findings from such research could point the suicide prevention efforts in the right direction.
Analyzing Factors Affecting loyalty on Group-Buying Platforms: A Case Study of Pinduoduo
Authors: Wong Chong Chie , Pengting Pengting , Ng Wei Chien , Soong Yu Qing
Published: December 2024

In the current global economy, group-buying e-commerce platforms like Pinduoduo continuously adapt to changing consumer attitudes and behaviors. The rapid development of e-commerce has transformed shopping habits and consumption patterns globally, especially after the emergence of Covid-19 where consumers changed from physical purchasing to online purchasing. Therefore, attracting and retaining customers and increasing consumer loyalty is a core concern amidst fierce competition, especially when there are so many group-buying e-commerce platform emerged during the pandemic. Despite the success of platforms like Pinduoduo, improving user loyalty remains a critical challenge to survive in this gruesome competition. Frequent price fluctuations, inconsistent product quality, and poor after-sales service are key points for users, negatively affecting consumer satisfaction and loyalty. By the end of 2022, over six group-buying platforms in China ceased operations due to low user retention and engagement rates. Therefore, this study aims to explores how Pinduoduo can effectively retain customers and enhance loyalty by evaluating consumer loyalty through constructs such as price, product quality, and service quality. Data from 418 consumers were collected via an online questionnaire, and structural equation modeling was adopted to test the research hypotheses. The results show that product price, product quality, and service quality have significantly impact on consumer satisfaction, which plays a crucial mediating role in loyalty. Based on these key factors, the study provides guidance for group-buying e-commerce platforms to cultivate customer loyalty and attract potential customers. This will subsequently increase the revenue from group-buying e-commerse platforms, which is essential to the growth of the company.
Negacionismo del SIDA: Argumentos y discusión epistemológica
Authors: Moquillaza-Alcantara Victor
Published: December 2024

Objetivo: Identificar y confrontar los argumentos negacionistas con conceptos epistemológicos históricos. Material y métodos: Se realizó una revisión en Pubmed y Scopus para identificar argumentos científicos que niegan el SIDA, utilizando términos relacionados con “denial”, “AIDS” y “HIV”. Se incluyeron estudios observacionales, notas, ensayos, y cartas al editor, y se analizaron los argumentos seleccionados basándolos en posturas epistemológicas para explicar sus errores. Resultados: La búsqueda reveló pocos manuscritos en la literatura científica que niegan la existencia del VIH o el SIDA. Estos argumentos se dividen en cuatro categorías: 1) bajas muertes por VIH comparadas con casos positivos, 2) aumento de la población a pesar del SIDA, 3) toxicidad de los antirretrovirales superando sus beneficios, y 4) origen del SIDA en drogas, antirretrovirales y desnutrición. Conclusión: Ninguno de los argumentos negacionistas del SIDA tiene un fundamento epistemológico válido y su origen se encuentra en contextos políticos que defienden posturas pseudocientíficas. Los autores que niegan el SIDA no han realizado investigaciones que verifiquen sus hipótesis, basándose en críticas e interpretaciones erróneas. La historia demuestra que es responsabilidad de los científicos frenar la pseudociencia y proporcionar interpretaciones correctas y accesibles a la sociedad.
Palm Oil Biomass Supply Chain Multi-Objective Two-Echelon Location-Routing Optimization
Authors: Foo F. Y. , Zainuddin Z. M. , Hang S. P.
Published: December 2024

Malaysia generates substantial agricultural residues annually, endowing the country with significant biomass energy potential. Palm oil biomass stands out as a promising feedstock. However, its high humidity, bulkiness, low energy density, and dispersed resource locations (mills) pose challenges. A network that consisting collection facilities incorporating pretreatment operations as intermediaries between mills and biorefineries is a plausible solution. Nevertheless, the facility locations directly impact travel distance, overall expenses, and the nearby population. Moreover, vehicle routing during biomass collection influences transportation costs and carbon dioxide (CO2) emissions. Consequently, this research designs a model to address the location-routing intricacies within a two-echelon biomass supply chain. The model operates as a multi-objective optimization framework, encompassing three-dimensional sustainability assessment, quantified respectively as total cost minimization, CO2 emissions reduction, and minimization of the population affected. The research initially optimizes each objective function individually and subsequently advances to multi-objective optimization employing the weighted sum approach. While single-objective optimization yields optimal outcomes for each dimension, enhancements in one aspect may hinder performance in others. Nonetheless, the multi-objective optimization provides insight into the trade-offs among the sustainability objectives. The computational findings demonstrate the model could adapt the network configuration in alignment with distinct sustainability aspirations.
On the Relation Between Topological Free and Topological Dual Injective Modules
Authors: Alkhayyat H. K. H. , Mahameed A. I. , Salih M. A.
Published: December 2024

Algebraic topology is a branch of mathematics which use the concepts of abstract algebra to study topological spaces in which to find algebraic invariants that classify topological spaces up to homeomorphism. In this paper, the basic properties of some concepts on algebraic topology such as the topological ring, the topological module, and the topological free module were recalled, which were helped to define new concepts and proof some of there properties as a new results. Then, some results related to the relation between the free topological module and homomorphism topology. As in any application will be introduced, the tensor concept will be chosen to explain the new results related to the topological module.
Dış ticarette uzmanlaşma ve rekabetçilik analizi: MIKTA ülkeleri örneği
Authors: Çeştepe Hamza , Yirmibeş Selçuk
Published: December 2024

Günümüzde dünya ekonomisinin yönlendirilmesinde, bölgesel ekonomik entegrasyonlar yanında çeşitli ülke grupları da oldukça etkili olmaktadır. G-7, G-20 gibi nispeten köklü gruplara yenileri eklenmiştir. Bu gruplardan biri de Meksika, Endonezya, Güney Kore, Türkiye ve Avustralya arasında kurulan MIKTA grubudur. Hepsi G-20 üyesi olan ve bölgelerinde etkin bir aktör konumundaki MIKTA ülkeleri, ekonomik ve ticari açıdan da güçlü bir potansiyele sahiptir. Bu çalışmada, MIKTA ülkelerinin mal grupları itibariyle dış ticarette uzmanlaşma ve rekabet düzeyleri karşılaştırmalı olarak ortaya konulmuştur. Ampirik analizde, grup ülkelerinin 2007-2022 dönemi dış ticaret verileri ile Balassa ve Vollrath tarafından geliştirilen endeksler kullanılmıştır. Ampirik analiz sonuçlarına göre, Endonezya ve Avustralya’nın düşük teknolojili mallarda, Meksika’nın orta teknolojili mallarda ve Kore’nin ise orta ve yüksek teknolojili mallarda uzmanlaştığı ortaya çıkmıştır. Türkiye’nin de düşük teknolojili mallarda uzmanlaştığı ve rekabetçi olduğu belirlenmiştir. Bu sonuçlardan hareketle, MIKTA grubu içinde gelişmekte olan ülke konumundaki Meksika, Endonezya ve Türkiye’nin yüksek teknolojili mal üreten sektörlere daha fazla yatırım yapması ve teşvik politikalarını bu doğrultuda düzenlemesi gerekmektedir.
WEB 2.0 Eğitim Araçlarının Deprem Bilinçlendirme Eğitiminde Kullanımı
Authors: Yıldırım Gürkan , İsen Zeynep
Published: December 2024

Depremler, üzerinde çok fazla araştırma yapılan ve insanları derinden etkileyen doğal afetlerdendir. Teknolojideki hızlı gelişmelere rağmen, depremlerin zamanını ve yerini tahmin etmek neredeyse imkansızdır. Bu durum, bireylerin depremi hayatın bir parçası olarak görüp sürekli hazır olmalarını gerekli kılmaktadır. Bu nedenle deprem bilinçlendirme eğitimlerinin okullarda verilmesi bir zorunluluk haline gelmiştir. Özellikle yeni nesil olarak adlandırılan ve teknoloji ile iç içe büyüyen bireylerin eğitiminde öğretim teknolojilerinin önemli bir rolü olduğu düşünüldüğünde öğrencilerin sürekli maruz kaldıkları Web 2.0 araçlarını öğretimsel amaçlı kullanmaları ve bu araçların üstün yönlerinden faydalanmaları önemli görülmektedir. Bu nedenle mevcut araştırma kapsamında ortaokul öğrencileri için Web 2.0 araçları kullanılarak deprem bilinçlendirme eğitimi verilmesi amaçlanmış ve öğrencilerin bu ortamlarda edindiği deneyimler sunulmuştur. Araştırmanın örneklemini 15 ortaokul öğrencisi oluşturmaktadır. Mevcut araştırma kapsamında nicel araştırma yöntemlerinden tek grup ön test – son test kontrol grupsuz yarı deneysel desen tercih edilmiştir. Öğrenenlerin süreç içinde yaşadıkları değişimi tespit etmek amacıyla ön test – son test uygulaması gerçekleştirilmiştir. Bu bağlamda aynı grup üzerinde ölçüm gerçekleştirildiği için Wilcoxon Signed Ranks Test gerçekleştirilmiştir. Mevcut bulgular incelendiğinde araştırmaya katılan 14 öğrencinin son test puanları ön test puanlarından yüksek çıkmıştır. Sadece bir öğrencinin ön test ve son test puanları eşit çıkmıştır. Bu fark istatistiksel açıdan anlamlı görülmektedir (Z=-3,304, p=0,001). Mevcut araştırmadan elde edilen nicel bulgular incelendiğinde öğrencilerin gerçekleştirilen öğretim neticesinde anlamlı bir öğrenme gerçekleştirdikleri söylenebilir. Bu durum kullanılan Web 2.0 araçlarının öğrenme ortamlarındaki başarının artırılması üzerindeki etkisini de göstermektedir. Ayrıca öğrencilerin süreç içinde çok fazla eğlendikleri, rekabet ve yarışma hissini yaşadıkları ve derse karşı olan ilgilerinin de arttığı gözlemlenmiştir.
KUZEY ANKARA KENTSEL DÖNÜŞÜM PROJESİNDE GELENEKSEL MİMARİNİN YENİDEN YORUMLANMASI: NİYAZİYE CAMİİ
Authors: Karademir Murat , Soy Necdet Bekirhan
Published: December 2024

Geleneksel yaklaşımla inşa edilen camiler, geçmişin zengin mirasını yeniden canlandırma çabası olarak ortaya çıksa da estetik ve işlevsellik açısından çeşitli zorluklarla karşılaşmaktadır. Çoğu zaman bu yapılar, geçmişin mimari detaylarını birebir taklit etme amacı güderken, çağdaş toplumların dinamik ihtiyaçlarına ve kent dokusuna uyum sağlamakta yetersiz kalmaktadır. 2013 yılında inşaatına başlanan ve 2014 yılında inşaatı tamamlanan Kuzey Ankara Niyaziye Camii plan, mimari, tasarım ve yapı özellikleri açısından geleneksel bir yaklaşımla tasarlanmıştır. Çalışmada caminin mekân kurgusu, genel mimari özellikleri, plan tipi, yapı elemanları, süsleme özellikleri ve yapıdaki geleneksel elemanlar ayrıntılı incelenmiştir.
Bu makale, geleneksel cami mimarisinin günümüz koşullarında yeniden yorumlanmasının artılarını ve eksilerini incelerken, aynı zamanda sürdürülebilirlik, çevresel uyum ve modern toplumun estetik ihtiyaçlarıyla nasıl daha iyi bütünleşeceğini ele almayı amaçlamaktadır. Hem estetik hem de işlevsel olarak anlamlı camiler yaratmak, aynı zamanda geleceği de inşa etmektir. Özgün bir yorum ve yenilikçi tasarım stratejileriyle zenginleştirilen camiler, kentlerde daha anlamlı ve kalıcı bir iz bırakabilir.
Francisco de Villagra y la conquista de Cuyo
Authors: García Alejandro , Palacios Ernesto
Published: December 2024

Francisco de Villagra ha sido generalmente identificado con el descubrimiento de Cuyo, sin que se haya profundizado el estudio de su actuación en la región. Esta resultó clave para el aprovechamiento de la mano de obra indígena local y para la tranquila expedición fundadora liderada por Pedro del Castillo diez años después. A fin de conocer y comprender mejor las acciones de Villagra en Cuyo se analiza la información documental temprana sobre el tema, se discuten algunas propuestas previas acerca de su itinerario, su estadía en la región, el lugar y fecha de una conocida tempestad, y se ofrece una descripción de las probables medidas tomadas durante ese período. En definitiva, se destaca su rol como conquistador del área, y se enmarca su conducta en el contexto de violencia propio de la época.
Single Axis Solar Tracker
Authors: Aishwarya SK  , Anushri Jogin  , Charith Kumar KS  , Charith Kumar KS  , Dr Guru Prasad
Published: December 2024

The pace of electricity consumption is rising every day, and people's reliance on traditional energy sources is growing. If it persists, use of traditional energy sources will cease quickly. Therefore, the timing is right to combine conventional and renewable energy sources. The cleanest and most sustainable renewable energy source is solar power. The conversion of solar energy into electrical power is possible using a solar photovoltaic (PV) panel.
Several variables, including sun irradiation, solar cell composition, surface temperature, and others, affect how quickly a solar photovoltaic panel produces energy. The solar cell generates more power the more sunshine it receives. Due to variations in the sun's location in the sky, a fixed state solar panel cannot receive the most sunlight during the daylight hour
Hepatoprotective Active Indian Medicinal Plants - A Comprehensive Review
Authors: Sneha Yogiraj Khadse  , Rushikesh Bhaskar Mehankar  , Vishal B Mahanur  , Akhil Maske
Published: December 2024

With increasing prevalences connected to environmental pollutants, unhealthy lifestyle choices, and viral infections, liver diseases—including chronic illnesses like cirrhosis, hepatitis, and non-alcoholic fatty liver disease (NAFLD)—represent a significant worldwide health problem. Because of their hepatoprotective qualities, medicinal plants have long been used in traditional medical systems, including Ayurveda, Unani, and Siddha. This article examines many Indian medicinal herbs, including Phyllanthusniruri, Andrographispaniculata, Silybummarianum, and Curcuma longa, that are well-known for promoting liver health. Bioactive substances found in these plants, such as flavonoids, terpenoids, alkaloids, and saponins, have hepatoprotective effects by means of anti-inflammatory, anti-fibrotic, and antioxidant processes.
Standardizing herbal formulations, guaranteeing uniform absorption, and carrying out extensive clinical studies continue to present difficulties despite encouraging outcomes. There are promising opportunities to increase the therapeutic potential of plant-based hepatoprotective medicines thanks to developments in pharmacogenomics, nanotechnology, and combination therapy. Validating the effectiveness, safety, and best usage of these herbs as well as combining them with contemporary medical techniques for all-encompassing liver health management require more investigation
Construction of Biogas Digester and Produce Biogas from Cow Dung and Chicken Droppings as an Alternative Source of Heat to the Existing LPG Gas
Authors: Ali Barde  , Sani Jibrin Gumal  , Haruna Abubakar Danyaya
Published: December 2024

The study analyzed the compositions of cow dung and chicken droppings, revealing that cow dung has a higher proximate composition, containing more organic waste, leading to increased biogas output. Anaerobes break down raw materials through hydrolysis, acidification, and methanization processes. The densities of both materials were found to be different, with cow dung having a larger density than chicken droppings. This results in varying chances of becoming soluble in the digester's contents during fermentation periods. The calorific values of the two raw materials were 7.8 mj/kg for cow dung and 7.9 mj/kg for goat dung. Both materials have a high rate of biogas production and a decent calorific value. The pH values of the slurry for cow dung and chicken droppings were 7.8 and 7.9, respectively. For fermentation and regular gas generation, a pH of 7 to 8.5 is ideal. The modest pH variations between the two substrates might be explained by the type of organic feeds given to animals as ruminants. Gas production was usually started from the 5th day. The pH of the slurry was adjusted to the required value (5-8) by adding 1 N sodium bicarbonate solution. The daily production over 30 days' retention period for the slurry with different pH levels showed that biogas gas production was higher during initial days and decreasing gradually as the day passed. The maximum gas yield was obtained for pH 7 on the 16th day and 8th and 19th in 10 and 20% of cow dung and chicken droppings, followed by 33, 22, and 33, 38 ml for pH 5 on the 25th, 23rd, and 16th, 13th days in 10 and 20% of cow dung and chicken droppings, and 14, 22, and 15, 26.1 cm3 for pH 8 on the 20th, 23rd, and 11th, 18th days in 10 and 20% of cow dung and chicken droppings, respectively
Recent Advances in Multiple Sclerosisi Research
Authors: Ms. Yogita Vitthal Palkar  , Ms. Pranali Hatwar  , Dr. Gajanan S. Sanap
Published: December 2024

The chronic autoimmune disease known as multiple sclerosis (MS) is characterized by inflammation, demyelination, loss of neurons, and gliosis (scarring). Our object to review MS pathophysiology, etiology, immunopathogenesis, symptoms and treatment the most prevalent autoimmune disease affecting the central nervous system (CNS) is multiple sclerosis (MS). It is a debilitating, chronic, demyelinating illness brought on by an attack by an inflammatory disease that causes the progressive loss of the myelin sheath that envelops the axons of neurons. Epidemiology indicates that the average age at onset is between 20 and 40 years old. MS is widespread in both Europe and America and is more common among women. Pathological features include oligodendrocyte loss, axon demyelination, and areas of inflammation (plaques). The incidence of MS is rising, especially in women, and there is a global latitude gradient in its prevalence. Although the exact cause of multiple sclerosis is unknown, epidemiological evidence suggests that both genetic and environmental factors play a significant role. There are four clinical forms of MS, such as secondary progressive MS (SPMS), Primary progressive MS (PPMS), and Progressive relapsing MS (PRMS), of which relapsing remitting (RRMS) type is the most common. An essential component of treating multiple sclerosis is managing its symptoms. Identifying and treating the various symptoms accurately results in increased quality of life for multiple sclerosis sufferers. The symptoms of multiple sclerosis can be classified as primary, secondary or tertiary. The main symptoms, which include ataxia, weakness, and sensory loss are directly associated with axonal loss and demyelination. Secondary symptoms like infections of the urinary tract due to the retention of urine are caused by the principal symptoms. The social and psychological repercussions of the illness lead to tertiary symptoms as reactive depression or social isolation. Fatigue and weakness, diminished balance, stiffness, and difficulties with gait as well as depression and cognitive deficits, are typical symptoms of multiple sclerosis. Deficiencies in the bowel, bladder and sexual organs, loss of vision and sensation and neuropathic pain. The most popular treatments for multiple sclerosis include disease-modifying medications such fingolimod, dimethyl fumarate, natalizumab, and interferon- beta. Real-world studies are required to demonstrate the effectiveness and safety of these drugs
Dibujando las líneas de un territorio. Un caso cercano: El Camp de Tarragona
Authors: Valero Macip Júlia , Miralles Jori Roger
Published: December 2024

La presencia de fronteras se cuestiona al comprender que estas únicamente existen en el imaginario colectivo. Un imaginario que distingue entre las imposiciones políticas y las características inherentes y naturales, permitiendo así estudiar estas últimas en el Camp de Tarragona como caso de estudio. A través del estudio de cartografías históricas y el dibujo de descripciones geográficas y morfologías orográficas, se traza una red de líneas que intentan representar el territorio y, a su vez, señalan que los límites territoriales no son definiciones precisas, sino más bien conceptos amplios y abstractos, que influyen directamente en el funcionamiento territorial y, por lo tanto, en las formas de habitarlo.
An Integrated Deep Learning with Natural Language Processing Models for Sentiment Analysis and Classification using Arabic Tweets
Authors: Almansour Ebtesam Hussain
Published: December 2024

The growing acceptance of social media networks as a platform to share opinions on several features emerged opinion mining or sentiment analysis (SA) as an active investigation part. In recent times, SA has attracted significant attention owing to its various applications in different features of our lives. SA is one of the Natural Language Processing (NLP) that purposes to analyze and process data that is transcribed in human languages. Even though the Arabic language is the most extensively spoken language utilized for content sharing through social media, the SA on Arabic content is restricted owing to numerous challenges with the language’s morphologic structures, the dialect's variabilities, and the absence of the proper corpora. In recent times, deep learning (DL) and machine learning (ML) have demonstrated extraordinary achievements in the field of SA for Arabic tweet classification in social media platforms. In this manuscript, we design and develop an Integrated Deep Learning with Natural Language Processing Models for Sentiment Analysis and Classification (IDLNLPM-SAC) technique. The IDLNLPM-SAC model presents a sentiment analysis and classification using Arabic tweets. The presented IDLNLPM-SAC model follows different levels of data preprocessing to transform the raw Arabic tweet data into a compatible format. For the process of word embedding, the latent semantic analysis (LSA) technique can be deployed. Besides, the hybrid of parallel temporal convolutional network–gated recurrent unit (PTCN-GRU) classifier can be implemented for the classification process. Eventually, the parameter choice of the PTCNGRU algorithm can be implemented by the design of the improved marine predator algorithm (IMPA). The simulation evaluation of the IDLNLPM-SAC technique takes place using the Arabic tweets database. The experimental results pointed out the heightened solution of the IDLNLPM-SAC technique compared to recent approaches.
Scalable Consensus for Blockchain Networks
Authors: Ramji Vivek
Published: December 2024

This paper presents a novel scalable consensus algorithm designed for blockchain networks, aimed at improving transaction throughput and reducing latency in distributed systems. The proposed algorithm leverages a hierarchical structure of nodes, where consensus is achieved through a multi-layered approach that balances workload across the network. By utilizing dynamic node selection and adaptive communication protocols, the algorithm ensures robustness against network partitions and Byzantine failures. Experimental results demonstrate significant improvements in scalability, with the algorithm achieving high transaction throughput even under varying network conditions. The proposed approach provides a viable solution for enhancing the efficiency of blockchain networks in real-world applications.
Assessment of Postgraduate Programs for International Students in Selected Australian Universities: Input for Policy Making
Authors: Alanzalon Jhon Jhon
Published: December 2024

In this paper, the author has aimed to assess the postgraduate programs offered for international students in selected Australian universities particularly the program, instructions and research. The study adopted the exploratory sequential mixed methods. It involves international postgraduate students studying for their master’s through coursework, research and PhD. The following were findings of the study: This study evaluated the satisfaction levels of 173 international postgraduate students, predominantly enrolled in master’s programs across three Australian universities: USyd, UTS, and UNSW. The author has shown that the findings underscore that Australian universities provide well-structured programs with strong academic support and career services. However, employment-related assistance for international students needs to be improved. The author has concluded with recommendations that include expanding work opportunities, offering more support for students balancing employment, and redefining program requirements for full-time employees. Overall, the study suggests that Australian universities effectively meet international postgraduate students' academic and professional needs, though room for improvement remains in career support.