bluuebunny/crossref_metadata_2025 huggingface dataset:
ISLAMIC INDICES OF RUSSIAN COMPANIES’ SHARES: TYPES, DYNAMICS, FACTORS
Authors:   A. A. Kadyrov Chechen State University, Grozny, Russia, Demilkhanova Bela A.
Published: January 2025

Creating conditions for the development of Islamic finance principles in the Russian economy implies the participation of practically all economic and financial market players in these processes. The stock exchange, which is responsive to all trends in the global financial system, is no exception. The beginning of the development of reliable Islamic investments through a highly organized exchange market has been laid, which will inevitably have a positive impact on further success in the application of the Islamic economic model in Russia.
The subject of the article are stock market indicators reflecting the state of the Islamic investment sector: Islamic investment price index and total return index. Identification of dynamics and factors of their changes in comparative assessment with other stock exchange stock indices became the purpose of the article. By means of statistical methods, methods of grouping and detailing, structural and comparative analysis, similar and distinctive features in the dynamics and factors of movement of the indices were identified.
It is concluded that there is a stronger correlation between the index values, similarity in the specific indicators of the presence of large companies in the structure of the average daily trading volumes of the indices, and that the directions of change in the yield of the Islamic investment index and the “net” yield of the blue chips index as a result of reinvestment of dividends coincide.
THE ROLE OF BLOCKCHAIN TECHNOLOGIES IN ENSURING TRANSPARENCY AND SECURITY OF ECONOMIC TRANSACTIONS
Authors:   Kuban State Agrarian University named after I. T. Trubilin, Krasnodar, Russia, Kosnikov Sergey N. , Zolkin Alexander L. ,   Povolzhskiy State University of Telecommunications and Informatics (PGUTY), Samara, Russia, Zhiltsov Sergey A. ,   MIREA-Russian Technological University, Moscow, Russia, Novikov Alexey V. ,   Volga State University of Water Transport, Nizhny Novgorod, Russia
Published: January 2025

The purpose of the study is to analyze the economic and technological capabilities of blockchain technologies in ensuring transparency and security of economic transactions. In the course of the work, methods of system analysis, comparative study of data before and after the introduction of the blockchain, as well as mathematical modeling were used. The study examined data from industries such as logistics, finance, agriculture, healthcare, and energy. The main results showed that the introduction of blockchain technologies helps to reduce transaction processing time (from 3–5 days. up to 5–10 minutes), reducing the error rate (from 10% to less than 1%) and data processing costs (by 30–50%). The changes ensure increased trust between participants, transparency of operations, and the creation of sustainable decentralized systems. The developed mathematical model made it possible to quantify the impact of the blockchain on the main parameters of transparency and security. The peculiarity of the work lies in an interdisciplinary approach combining theoretical analysis and empirical approbation.
THE CURRENT STATE OF THE RUSSIAN ECONOMY IN THE CONTEXT OF CHALLENGES AND THREATS TO FINANCIAL AND ECONOMIC SECURITY
Authors:   K. L. Khetagurov North Ossetian State University, Vladikavkaz, Russian Federation, Tokaeva Svetlana K.
Published: January 2025

Modern processes occurring in the Russian economy are largely due to the influence of negative factors in the external world, which increases the risks and threats to the financial and economic stability of the country. This increases the importance of studying the main challenges to the Russian economy and determining the safety margin of the socio-economic system.
The article examines the main risks of an external and internal nature, entailing a loss of stability and strength of socio-economic sustainability, a decrease in the degree of security of the Russian Federation, its economic sovereignty.
The main problems of modern development with their subsequent impact on ensuring the economic and financial security of the country are identified and characterized.
THE ROLE OF THE INSTITUTION OF SOCIAL PARTNERSHIP AND ITS DEVELOPMENT TRENDS IN THE LABOR MARKET
Authors:   Vyatka State Agrotechnological University, Kirov, Russia, Zhukova Yulia S. , Kuklin Andrey V. ,   Vyatka State Agrotechnological University, Kirov, Russia
Published: January 2025

The article evaluates the role of the institute of social partnership in the development of the labor market in the agro-industrial complex. The labor market, as one of the key structural elements of a market economy, depends on many different factors, one of which is the formation of an optimal model of interaction between employees and the employer with the direct participation of the state. Such a model of interaction is possible with the direct development of the social partnership system at all levels. This article examines the system of sectoral social partnership in the labor market in the agro-industrial complex.
IMPROVING STATE POLICY IN THE FIELD OF EMPLOYMENT
Authors:   Federal State Budgetary Educational University of Higher Education North Ossetian State University named after Kosta Levanovich Khetagurov, Vladikavkaz, Russia, Kulumbegova Lana V.
Published: January 2025

The article examines the directions of state policy in the field of employment of the population and ways of its improvement. The main indicators reflecting the existing trends in this area, as well as the latest legislative changes, are analyzed. Particular attention is paid to the results of the activities of authorized state bodies and organizations reflected in the published reports.
META-LEARNING FOR AUTOMATIC DESIGN OF OPTIMAL NEURAL NETWORK ARCHITECTURES
Authors:   North Caucasus State Academy, Cherkessk, Russian Federation, Batchaeva Zurida B. , Bayramukova Aisha R. ,   North Caucasus State Academy, Cherkessk, Russian Federation, Chegemlieva Aisha M. ,   North Caucasus State Academy, Cherkessk, Russian Federation
Published: January 2025

The article discusses the use of meta-learning for automatic design of optimal neural network architectures. An approach based on two-level optimization is proposed, where meta-learning is used to search for universal parameters and strategies that accelerate the process of generating effective architectures. It is shown that meta-learning reduces computational costs and provides high adaptability to new problems, which makes it preferable to traditional methods such as manual design and network architecture search (NAS). Experimental results confirming the advantage of the approach are presented, and the main limitations are identified, including the requirements for computational resources and challenges in generalizing to new problems. Promising directions of development are considered, including integration with transformers, hybrid methods, and adaptation for specialized areas such as medicine and finance. The proposed approach contributes to the acceleration of the development of neural networks, improving their performance and availability for application in a wide range of problems.
CYBERSECURITY AS A FACTOR OF SUSTAINABLE DEVELOPMENT OF THE DIGITAL ECONOMY
Authors:   Kuban State Agrarian University named after I. T. Trubilin, Krasnodar, Russia, Kosnikov Sergey N. , Zolkin Alexander L. ,   Povolzhskiy State University of Telecommunications and Informatics (PGUTY), Samara, Russia, Artemyev Nikolay V. ,   Kikot Moscow University of the Ministry of the Interior of Russia, Moscow, Russia; Moscow Witte University, Moscow, Russia; institute of international economic relations, Moscow, Russia, Lepshokova Alanida N. ,   Karachay-Cherkess State University named after U.D. Aliyev, Karachaevsk, Russia
Published: January 2025

The purpose of the study is to analyze cybersecurity as a key factor in the sustainable development of the digital economy. The article examines modern threats to information security, as well as strategies and initiatives aimed at overcoming them. The methodological framework includes literature analysis, comparative data analysis, and statistical methods applied to information about cyber incidents and measures to prevent them. The main results of the study demonstrate the need for an integrated approach to cybersecurity, including technical, organizational and educational measures. Special attention is paid to government programs such as the Digital Economy of the Russian Federation and private initiatives, including the introduction of artificial intelligence and blockchain technologies. The analysis shows that coordinating the efforts of public, private and international organizations increases the effectiveness of countering modern threats. The paper highlights the role of cybersecurity as a tool to strengthen user confidence and increase the competitiveness of the digital economy, which ensures its sustainable development.
Adaptive Control Strategies for Power Quality Improvement in Renewable Energy and Grid-Connected Systems: A Review of SAF, PV, and DSTATCOM Technologies
Authors: - Shubham Rajendra Ekatpure
Published: January 2025

This study reviews the implementation and effectiveness of advanced control algorithms in mitigating power quality issues such as harmonic distortion, reactive power imbalance, and unbalanced loads in electrical distribution systems. Various systems, including shunt active filters (SAF), grid-connected photovoltaic (PV) systems, and distribution static compensators (DSTATCOM), are evaluated for their ability to maintain sinusoidal current and improve grid stability. The review focuses on key methodologies, such as least mean square (LMS) algorithms, hyperbolic tangent function (HTF)-based controls, and dual voltage source inverters (DVSI). While these systems demonstrate significant improvements in power quality, limitations such as sensitivity to external disturbances, scalability challenges, and reliance on precise sensor data are identified. The study highlights the need for more robust, scalable, and adaptive solutions to ensure reliable operation in diverse grid environments and presents future research directions to address these challenges.
NPOI Integration To Read/Write Excel Files Using C#
Authors: - AzraJabeen Mohamed Ali
Published: January 2025

This paper discusses NPOI integration to read and write the excel files using C#. This paper explores using the NPOI tool to read and write Excel files in C#. The project's main research question is how to read and write Excel files so that mass data can be imported and exported using NPOI which supports Windows
and Linux OS. Methodologically speaking, this study is based on careful analysis of the usage of thirdparty tools like LinqToExcel and NPOI. The course deconstructs the fundamentals of utilizing C# to read and write Excel files with an interface focused NPOI. The study's key findings provide insight into the
intricate link between Csharp and NPOI in accessing and storing data in Excel sheets. The paper covers the majority of NPOI Excel's features (cell style, data format, formula, etc.) and explains how these elements contribute to big data processing.
Application Integration for Healthcare for Effective Governance and Compliance
Authors: - Gopi Krishna Kalpinagarajarao
Published: January 2025

In the healthcare sector, governance and compliance are critical for safeguarding patient data, ensuring regulatory adherence, and maintaining operational efficiency. Service-Oriented Architecture (SOA) and application integration offer powerful solutions to address these challenges by enabling secure, efficient, and standardized data sharing across diverse systems. These technologies not only streamline operations but also ensure adherence to complex and evolving regulatory frameworks. Their impact on healthcare
governance and compliance is profound and multifaceted, encompassing standardized data management, enhanced interoperability, strengthened security, and more. One of the primary ways SOA and application integration enhance healthcare governance is through standardized data management.
Best Practices for Reducing Truck Downtime
Authors: - Bhavya Vashisht
Published: January 2025

Bangladesh is located in a seismically active area, and the rising number of earthquakes has alarmed the local population. Major cities of Bangladesh are under a serious threat due to defective design and structural construction. If seismic do not take under consideration building could be severely damaged under seismic loads. Thereby, taking consideration into the alarming matter, BNBC, (2017) is an upgraded version of the previous code. BNBC, (2017) has provisions for both elastic and inelastic methods of analysis for structures under strong ground motion. BNBC, (2017) proposed an equivalent static load method to design the buildings; “which yields good results within the elastic limit but it cannot predict the nonlinear behavior of the structure beyond the elastic limit”. Pushover analysis, a nonlinear technique with a few approximations and simplifications, can predict the degree of damage caused by a seismic event. Pushover analysis was specifically proposed in ATC 40, (1996) and FEMA 356 (2000). The pushover analysis approach of ATC 40, (1996), as included in “ETABS,”(2017), has been examined in this study in an effort to show its efficacy and validity(KHAN, 2013).
Leveraging AI in Disaster Management: Enhancing Response and Recovery for Natural and Man-Made Disasters
Authors: - Manoj Kumar
Published: January 2025

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the paradigm of disaster management through enhanced prediction accuracies and optimization of response strategies to natural and artificial disasters. This article discusses the use of AI-powered systems in predicting disasters related to hurricanes, earthquakes, and floods, thereby enabling proactive measures to reduce damage. The article also demonstrates how AI optimizes the relief effort in terms of resource allocation, real-time coordination, and post-disaster communication. AI lessens casualties, accelerates recovery, and improves decision-making through the analysis of vast data and predictive models during an emergency. The article also looks into the challenges of data quality, ethical issues, and integration with existing disaster management frameworks while emphasizing its potential to be transformative in saving lives and reducing the impacts of disasters.
Techniques and Frameworks for Effective Requirements Gathering in Complex Projects
Authors: - Faiz Mohiuddin Mulla
Published: January 2025

With so many brands vying for the customer's attention in this saturated market, businesses must focus on not just delighting their customers, but also making sure they are innovating quickly enough. This makes customer feedback one of the most sophisticated data points for continuous product development improvement. Organizations can improve their products, user experiences, and adapt based on market changes through structured capture, analysis, and action in response to feedback. This paper looks into how customer feedback plays a critical part in product development lifecycles by enabling iterative refinements, tackling pain points, and delivering products that connect emotionally with customers. This is an analysis of different approaches to collecting customer feedback, from surveys, user testing, online reviews, and social media interactions to tools and technologies for these methods. Next, the paper investigates the difficulties companies find while integrating customer sentiment into a product of development and gives best practices to overcome these challenges. Lastly, it describes how innovation in response to customer demand ties into company performance and competition within its respective market. The paper proposes that organizations based on the reported effectiveness of variables among feedback will encourage their continuous improvement and customer loyalty resulting in a competitive advantage over the long term. AI and big data analytics are commercially enabling still-leading feedback analysis by supporting these algorithms to extract insights from large unstructured datasets more quickly than before, allowing for faster decision-making and greater product personalization. Instead of changing the product in reaction to demand trends, businesses can have a proactive approach to readjust their strategy of meeting customer requirements as feedback becomes realtime and multidimensional. By incorporating loops in product development, companies can develop a culture of innovation that is fast enough to keep up with changes in the market by embedding customer satisfaction as well.
AI-Powered Advanced Threat Protection: A Novel Framework for Next-Generation Malware Defense
Authors: - Mithilesh Ramaswamy
Published: January 2025

As malware threats evolve in complexity and scale, traditional detection and mitigation strategies face increasing limitations. The integration of Artificial Intelligence (AI) into advanced threat protection (ATP) frameworks offers a transformative approach to combating sophisticated malware attacks. This paper introduces a novel AI-powered framework that leverages machine learning (ML), deep learning (DL), and graph-based algorithms for next-generation malware defense. The proposed system combines real-time threat intelligence, predictive anomaly detection, and adaptive remediation strategies to protect systems against known and emerging threats. By synthesizing insights from recent academic research, this framework provides a comprehensive model that addresses challenges such as obfuscated malware, polymorphic attacks, and zero-day vulnerabilities. This paper also highlights the importance of AI’s explainability, continuous learning, and collaboration with traditional ATP systems, paving the way for a robust and scalable malware defense solution.
Fine-Tuning Pre-Trained Language Models for Improved Retrieval in RAG Systems for Domain-Specific Use
Authors: - Syed Arham Akheel
Published: January 2025

Large Language Models (LLMs) have significantly advanced natural language understanding and generation capabilities, but domain-specific applications often necessitate supplementation with current, external information to mitigate knowledge gaps and reduce hallucinations. Retrieval-Augmented Generation (RAG) has emerged as an effective solution, dynamically integrating up-to-date information through retrieval mechanisms. Fine-tuning pre-trained LLMs with domain-specific data to optimize retrieval queries has become an essential strategy to enhance RAG systems, especially in ensuring the retrieval of highly relevant information from vector databases for response generation. This paper provides a comprehensive review of the literature on the fine-tuning of LLMs to optimize retrieval processes in RAG systems. We discuss advancements such as Query Optimization, Retrieval-Augmented Fine Tuning (RAFT), Retrieval-Augmented Dual Instruction Tuning (RA-DIT), as well as frameworks like RALLE, DPR, and the ensemble of retrieval based and generation-based systems, that enhance the synergy between retrievers and LLMs.
A Review on Comorbidity of Diabetes Mellitus
Authors: - Akanksha lokhande , - Nitin kale , - Gajanan sanap
Published: January 2025

Diabetes mellitus is a metabolic disorder that result from a relative or absolute deficiency of insulin,which affects carbohydrates, protein and fat metabolism.
Effect of Nano Zn compared with ZnSO4 on Growth and yield of Jasmine (Jasminum sambac L.)
Authors: - Rizwana Begum Z , - Lenin A R , - Ramesh Kumar S
Published: January 2025

This study was carried out to access the effect of foliar application of Nano foliar spray of Zinc Nanoparticles (Nano Zinc oxide) on Jasmine (Jasminum sambac) flower yield and quality. A experiment was conducted based on the Completely randomized design in pot culture to found out the efficacy of Nano Zinc over Zinc Sulphate, with nine treatments and three replications per treatment. Foliar spray of Nano Zinc oxide at six concentration (0.25, 0.5, 0.75, 1.0, 1.5 and 2ppm) and ZnSO4 at two concentration (1% and 2%) were applied at 30, 60 and 90 DAP (Days After Planting). T7 Nano Zinc Oxide 2% significantly increases the growth and yield that resulted in increased aquaporin genes involved in water uptake, bioavailability, solubility in soil with increased surface area to volume ratio slow and gradual release of nutrients to the plants. Which influence the better growth and yield compare to conventional nutrients.
Advancements in Wearable Smart Textiles: Transforming Health, Sports, and Beyond
Authors: - Diya Goyal
Published: January 2025

Wearable smart textiles combine technology and fabric to create intelligent clothing capable of sensing, analyzing, and responding to stimuli. These textiles have revolutionized sports, healthcare, military, and fashion by integrating functionalities like health monitoring, temperature control, and real-time data transmission. In sports, they enhance performance through moisture management and motion tracking, while in healthcare, they enable vital sign monitoring and early disease detection. Military applications include injury detection and hazard protection, while fashion blends aesthetics with innovative features like self-cleaning and color-changing fabrics. Despite challenges like miniaturization and scalability, advancements in materials and eco-friendly processes continue to drive innovation in this transformative field.
A Comprehensive Review of Automated Precision Agriculture Robot for Intelligent Seed Sowing, Replanting, and Pomegranate Disease Detection
Authors: - Yogita Gulabrao Thite , - Dr. Atul Prakash
Published: January 2025

This review explores advancements in precision agriculture, focusing on automated systems for seed sowing, replanting, and disease detection to enhance sustainable farming practices. By integrating technologies such as robotic automation, sensors, image processing, and real-time communication, these systems address critical agricultural challenges, including labor shortages, resource optimization, and crop health monitoring. Key innovations include precise seed placement, automated replanting in detected gaps, and disease identification using machine learning and image analysis. These technologies empower farmers with actionable insights, reduce resource wastage, and improve crop yield, contributing to the future of sustainable and intelligent farming solutions.
Socio-economic Conditions of Women Entrepreneurs in Sivagangai District – An Empirical Study
Authors: - Mrs.SANGEETHA P , - Dr.K.GEETHA
Published: January 2025

This empirical study explores the socio-economic conditions of women entrepreneurs in Sivagangai District, aiming to understand the various factors influencing their entrepreneurial journey. Despite the growing presence of women in business, they continue to face unique challenges related to education, financial access, societal norms, and family responsibilities. The study investigates how these factors affect the establishment, growth, and sustainability of women-led businesses in the district. Using a combination of quantitative and qualitative research methods, primary data was collected through surveys and interviews with women entrepreneurs in the region. The research highlights the key barriers faced by these entrepreneurs, including limited access to credit, inadequate business skills, and gender-based social constraints. It also examines the role of support systems, such as family, community, and government schemes, in fostering or hindering entrepreneurial success. This research provides valuable insights for policymakers, business support organizations, and stakeholders seeking to promote gender-inclusive economic growth in rural and semi-urban areas .
Key words: Socio-economic conditions, Women entrepreneurs and challenges
A Study on A study on cash management with reference to del Monte foods private limited company
Authors: - Somaeswar A , - Sureka R
Published: January 2025

Cash management is a critical component of financial management that ensures a company's liquidity, operational efficiency, and financial stability. This study examines the cash management practices at Del Monte Foods Private Limited, a prominent player in the food and beverage industry. The objective is to analyze the company's strategies for managing cash flows, maintaining optimal cash balances, and ensuring timely payments and collections.
China-Pakistan Economic Corridor: a Study of Chinese Investment in Pakistan
Authors: - Janet Cobbinah
Published: January 2025

The paper discusses the historical development of China-Pakistan diplomatic and economic relations, tracing the two nations' path from the early PRC era to their present strategic partnership. It highlights the common objectives that have formed the basis for this enduring alliance, starting with Pakistan's formal recognition of the PRC in 1951. It explores the evolution of their relationship, which has expanded into diplomatic, economic, and military cooperation since the 1990s, focusing on the China-Pakistan Economic Corridor (CPEC) as a key component of their economic partnership. It examines the rationale behind China’s substantial investments in Pakistan, particularly through CPEC, and its potential to reshape global trade routes as part of the Belt and Road Initiative (BRI). The discussion of the main infrastructural projects associated with CPEC: projects at Gwadar Port, the Karakoram Highway, and energy projects, and then the economic and political implications these initiatives may have for Pakistan. Further, the challenges and criticisms of CPEC involving debt sustainability, geopolitical tension, environmental concerns, and the socioeconomic impacts on the local communities are tackled in the paper. While exploring the various dimensions, the paper develops the idea of the importance of China-Pakistan relations in defining not only regional but also global dimensions, focusing on the strategic and economic dimensions of their partnership.
Study on Payment Problems in Private Construction Industry in Karnataka State: Analysis of Client based Issues
Authors: - Shrinath Rao K , - Shrivathsa S Bhat
Published: January 2025

Construction industry is one of the major industries responsible for the overall development of the economy and society. However, construction industry face lots of challenges including manpower, materials, machines, minute and money. History of construction industry has witnessed a number of payment issues and finance related issues which has hampered many of the construction projects. Construction industry is dependent on local, regional, national and sometimes international finance market and stability. Payment problems in the construction industry may result due to the financial instability of the client and also due to unforeseen issues with the contractor. Payment problem in construction is a common phenomenon which leads to legal disputes. Clints play major role in the construction projects and their decision will be key for successful completion of project. Clients face unique payment challenges which impact their financial stability and also projection success. In this research paper the reasons for the delay in payment is analysed and the reasons are compared to each other. The findings of this research work will help the clients in the Karnataka state to mitigate or control the irregularities in the future construction works. Generally, construction projects are very large in scope ranging from Building projects, Civil engineering projects to Industrial engineering projects, but the causes of delay on these contracts remains virtually the same although it may be more in terms of cost or time implication in some than the other due to lack of complete certification and expertise. The study is focused on building construction projects in the state of Karnataka. Research is conducted through literature reviews and questionnaire surveys. In this research, clients are contacted get the inputs on delay in the construction project and delay in payment procedure by considering issues related to both client and contractor.
Prevalence of Foot and Ankle Musculoskeletal Condition among Desk Job Workers
Authors: - Khushi Khare , - Varshita Saini , - Mohd. Asif , - Ifra Aman
Published: January 2025

Background: Desk job workers are widely recognized as being at heightened risk of musculoskeletal disorders (MSDs), particularly in areas such as the lower back, upper limbs, neck, and shoulders. However, there is a lack of substantial research focusing on the prevalence of foot and ankle MSDs within this demographic. To bridge this gap, a study was undertaken to evaluate the prevalence of foot and ankle MSDs among desk job workers and to identify associated risk factors.
Method: A self-administered questionnaire, incorporating the Foot and Ankle Outcome Score (FAOS), was distributed to desk job workers meeting the study’s eligibility criteria. Of the responses received, 120 questionnaires were fully completed and included in the analysis, while 25 partially completed questionnaires were excluded. The study employed a convenient sampling method, collecting demographic and work-related information such as age, gender, height, weight, and work experience through a subject intake form. Data analysis was conducted using MS Excel.
Results: The findings revealed that 18.33% of participants reported musculoskeletal issues in the foot and ankle. A gender-based analysis showed variations in prevalence, with 25% of the female participants and 13.88% of the male participants reporting these issues. FAOS scores were significantly correlated with age and working hours.
Conclusion: The study identified that a portion of desk job workers experienced foot and ankle musculoskeletal problems, with older females and those with longer work experience being at higher risk. Special attention should be directed toward these groups. The study recommends implementing ergonomic programs, self-management strategies, psychological health training, and targeted treatment plans to address foot and ankle MSDs.
Teaching degrees in Field, Indigenous, and Quilombola Education: affirmative public policies that qualify Mathematics teachers
Authors: Lima Aldinete Silvino de , Lima Iranete Maria da Silva
Published: January 2025

The article deals with affirmative public policies for the education of teachers who teach mathematics in specific sociocultural contexts, in particular, on teaching degree courses in field, Indigenous, and quilombola education. It is based on concepts and concerns from critical mathematics education (CME) to reflect on qualification in these courses, experienced in alternating formative times and spaces. Bibliographical research, whose corpus of analysis consists of seven articles published in thematic dossiers that discuss the interface between mathematics education and the specificities of the contexts mentioned before, is presented. The research results reveal that investigation, dialogue, and criticality, principles of CME, are present in the sociocultural practices experienced in the courses under analysis. There was a concern with political and social aspects in the teaching of mathematics to emancipate rural people and traditional communities included in the qualification.
Penerapan Sistem Informasi Posyandu Berbasis Website Pada Posyandu Warga Nglejok Rw 15
Authors: Pratama Rizki Yonda , Maharani Rizkysari Mei , Murti Alif Catur
Published: January 2025

Posyandu (Integrated Healthcare Post) is a routine activity that plays a crucial role in supporting community health, particularly for mothers and children. However, the activities at posyandu Warga Nglejok RW 15, named Teratai1, still face challenges in managing data and recording activity outcomes, which are carried out manually using notebooks. This manual system tends to be time-consuming, prone to errors, and inefficient in storage and report generation. Therefore, a solution is needed in the form of implementing a web-based information system to simplify data and information management related to posyandu activities. The information system, named Si Paling is designed to include features such as participant registration, recording health data for mothers and children, and managing activity schedules. The development method uses the waterfall approach, which includes the stages of analysis, design, implementation, testing, and maintenance. The implementation results are expected to demonstrate that the system can enhance efficiency, accuracy, and ease of data access for posyandu facilitators. With this system, administrative processes become more structured, data is more secure, and reports can be generated quickly. This information system is expected to provide a sustainable solution to support the digitalization of Posyandu services and improve community health quality in the Nglejok RW 15 area.
Microsoft Azure vs. Google Cloud Platform: An In-Depth Review of Services, Pricing, and Performance
Authors: - GAURAV ROHATGI
Published: January 2025

This comparative review paper aims to provide a comprehensive analysis of two leading cloud platforms: Microsoft Azure and Google Cloud Platform (GCP). Cloud computing has become pivotal in modern technology infrastructure, offering scalability, cost-efficiency, and a wide range of services. Both Azure and GCP have established themselves as dominant players in this domain, each with its unique strengths and service offerings.

The core services of both platforms, including compute, storage, and networking, are evaluated to understand their performance, flexibility, and ease of use. Azure’s Virtual Machines and Kubernetes Service are compared with GCP’s Compute Engine and Kubernetes Engine, highlighting their capabilities in handling various workloads (Jones, 2020, p. 15). On the storage front, Azure Blob Storage and Data Lake are examined alongside GCP’s Cloud Storage and Filestore for their scalability and integration capabilities (Smith, 2021, p. 25).

Specialized services such as AI and machine learning, big data analytics, and database solutions are also compared. Azure’s Machine Learning and Cognitive Services are measured against GCP’s AI Platform and AutoML, showcasing their impact on data-driven decision-making (Miller & Davis, 2022, p. 30). For big data, Azure Synapse Analytics and HDInsight are juxtaposed with GCP’s BigQuery and Dataflow to discuss their efficiency in handling large-scale data processes (Clark, 2019, p. 19).

Pricing models and cost management tools are critical for enterprises, making it essential to compare Azure’s Pay-as-you-go and Reserved Instances with GCP’s On-demand and Sustained Use Discounts (Brown, 2021, p. 42). Additionally, security and compliance are paramount, thus the security frameworks and certifications of both platforms are rigorously evaluated (White, 2022, p. 28).

Usability factors such as user interfaces, documentation, training resources, and support plans are analyzed to understand the ease of adoption and customer support experiences. Case studies and user feedback provide real-world insights into each platform’s performance and reliability, drawing on enterprise-level and SMB use cases (Green, 2020, p. 37).

Finally, the review discusses the innovation trajectories and future directions of both Azure and GCP, highlighting recent feature updates and predicting future trends in the cloud computing landscape (Taylor, 2022, p. 50). The paper concludes with a summary of findings, offering tailored recommendations based on specific use cases, thereby aiding organizations in making informed decisions about their cloud strategy.
Investigation into Shaped Wide-Beam Reflectarray Surfaces Reflectors as Passive Repeaters in Wireless Networks
Authors: Callaghan Peter , Young Paul R.
Published: January 2025

This paper investigates the use of a Reflectarray Surface (RAS) to provide a shaped beam for use as a passive repeater in a wireless network. A shaped beam can be desirable as it may provide coverage over a dead-spot region. Examples of a flat-topped and sloping top shaped beams having a nominal beamwidth of 30◦ and a steering angle of 40◦ at 10 GHz are investigated, designed using the particle swarm optimizer in MATLAB. Measurement and simulation from CST show reasonable agreement to the 'array factor' synthesis patterns but display practical detuning effects that may limit this approach. Additionally, it was noted element factor has a more significant impact on such beam shaping.
Representasi Folksong dan Memori Kinetik dalam Nyanyian Jemaat Gereja Protestan Maluku
Authors: Mahoklory Novian Hendrik , Lattu Izak Y.M , Lauterboom Mariska
Published: January 2025

This article aims to examine the Maluku Protestant Church (GPM) Congregation Songbook using the kinetic memory study to find the representation of folksong in implementing worship in Maluku.  The author uses descriptive qualitative methods with data collection techniques and interviews with key informants, including the GPM synod chairman and two songwriters from this congregational songbook, to obtain the desired results. Based on the results of the research, the author found that it is true that the GPM congregational songbook is the work of the Maluku people used in the worship life of the Maluku people, which is inseparable from the context of the social and cultural life of the Maluku people so that this congregational song can be referred to as the folksong of the Maluku people which is contextualized by theological and cultural understanding. The next finding also presents several song titles and lyrics that contain kinetic memory so that when sung with body movements, it will liven up the atmosphere of worship that is more vibrant and excite the congregation.
Menghadirkan Ruang Bercerita dalam Konteks Liturgi Generasi Z
Authors: Tesalonika Gloria
Published: January 2025

Liturgy is often interpreted as a form of worship in the church. This interpretation is not entirely wrong. However, liturgy has a much broader understanding. Liturgy is an encounter between humans and God. There is two-way communication in this encounter: God takes the initiative to meet humans, and humans respond to God's touch that greets them. God's touch amid the struggling situations faced should be visible in the liturgy that is compiled. The liturgy needs to address the needs of everyone involved. This forms the basis for writing this article. The author focuses on the liturgy of young people belonging to Generation Z, born between 1995 and 2010, as they have unique struggles and challenges. The church needs to recognize the importance of the presence of young people and pay attention to their worship-related needs. This should be reflected in the liturgy to acknowledge their struggles and make storytelling space that is expressed, allowing them to experience an encounter with God. The method used is a qualitative method, with data collection techniques consisting of literature studies and interviews with young congregants attending worship services. This article offers a liturgical renewal by providing space for storytelling for Generation Z.
Implementasi Teologi Antroposentris Hassan Hanafi dalam Pengelolaan Sumber Daya Alam bagi Kesejahteraan Masyarakat
Authors: Subekti Fiqi Restu
Published: January 2025

There are still many instances of natural resource management that fail to provide benefits and, in fact, often harm the community. The potential of Indonesia's natural resources, which should be utilized for the prosperity and welfare of the people, remains far from that expectation. Therefore, this research aims to propose the concept of Hassan Hanafi's anthropocentric theology to be implemented in managing and utilizing natural resources to improve community welfare. This study employs a qualitative method with a literature review approach. This research indicates that Hassan Hanafi's anthropocentric theology is relevant to natural resource management. Through the attribute of wujud, there is an awareness of the abundant potential of natural resources. Through the attribute of qidam, past mistakes regarding environmental destruction due to excessive resource exploitation are highlighted. Through the attribute of baqa, there is an awareness of the need to preserve and care for nature to ensure sustainability for future use. Through the attribute of mukhalafah lil hawadits, individuals are encouraged to be creative and innovative in utilizing natural resources. The attribute of qiyamuhu bi nafsih fosters independence without external intervention. Lastly, through the attribute of wahdaniyah, there is an awareness of the importance of unity and synergy in managing natural resources.
Keadilan dan Kebebasan bagi Masyarakat Plural di Indonesia: Refleksi Pemikiran Islam Nurcholish Madjid
Authors: Pattimahu Muhammad Asrul , Jamaa La , Pariela Tonny D , Toisuta Hasbollah
Published: January 2025

In Indonesia's pluralistic society, implementing the values of justice and freedom often faces significant challenges. Differences in religion, culture, and socio-economic backgrounds necessitate a nuanced understanding of interpreting and applying justice that is not confined to any single group. This article presents an in-depth exploration of Islamic perspectives on the concepts of justice and freedom, focusing primarily on the thoughts of Nurcholish Madjid (Cak Nur) as the main subject of study. This research is a literature review of Cak Nur’s works and scholarly studies of his ideas using a qualitative descriptive method for data analysis. The study finds that while justice, as articulated by Cak Nur, is a cosmic law applicable to all communities and social classes, its implementation must consider the social realities of a diverse society. Similarly, the concept of freedom, viewed as a prerequisite for creating an inclusive and egalitarian society, requires careful attention to the levels of maturity and social development within a pluralistic context.
Secondary Fluorescence in Electron-Microprobe Analysis Near Grain Boundaries, with Emphasis on Sphalerite and Au-Ag-Hg Alloy
Authors: Healy Raymond E.
Published: January 2025

Simplified modeling of electron interactions, X-ray absorption, and secondary fluorescence effects together with a series of test analyses and modeling using CalcZAF/FANAL confirm that electron-microprobe compositions of sphalerite and Au-Ag-Hg alloy are susceptible to analytical contamination from adjacent sulfide grains lying within extensive volumes of secondary fluorescence (i.e., radii of ∼50 and ∼20 μm, respectively). Compositions of sphalerite encapsulated in pyrite for geobarometric analysis, and from a series of points approaching a boundary with pyrite (i.e., concentration-gradients of Fe) for equilibration studies, may give spuriously high Fe contents due to secondary fluorescence of Fe in the adjacent pyrite, and thereby lead to erroneous interpretations. Similarly, anomalously high observed Cu contents of free sphalerite occurring in the Trout Lake Cu-concentrate can be attributed to secondary fluorescence of Cu in chalcopyrite disease in the sphalerite grains or of Cu in adjacent chalcopyrite, and not the preferential recovery of sphalerite with Cu-rich compositions during chalcopyrite or Cu flotation.

Potentially false-element concentrations due to secondary fluorescence near grain boundaries is an inherent pitfall in the analysis of very small mineral grains, near grain boundaries, and in all diffusion studies. The factors determining the potential magnitude of secondary fluorescence for the specific mineral pair under investigation should be routinely considered, and probably modeled, when operating near grain boundaries (i.e., within ∼100 μm), either by the simplified method used here or by a computer modeling program such as CalcZAF/FANAL.
Proof of Uranyl Deposition in Unconformity-Related Uranium Deposits, Athabasca Basin, Canada: Evidence from Synchrotron XAS and XPS Analyses of Hematite
Authors: Tunc Ayetullah , Lin Jinru , Pan Yuanming , Chen Ning , Feng Renfei
Published: January 2025

Except for the recently discovered stable U4+ chloride complex under reduced conditions at high temperatures, genetic models for the formation of uranium deposits had almost invariably invoked the pivotal roles of soluble U6+ species for the transport of uranium in fluids and their reduction to sparingly soluble U4+ as the deposition mechanism. However, the questions of when and how this reduction occurred in most uranium deposits, such as those in the Athabasca basin, Saskatchewan, Canada, are often not clear. The unconformity-related uranium deposits in the Athabasca basin are commonly accompanied by extensive and intensive alteration halos, including hematite-rich alteration or hematitization. Previous U L3-edge X-ray absorption near-edge structure (XANES) studies of uranium-bearing fluid inclusions and thermodynamic modeling demonstrated uranium transport as uranyl (UO22+) species in hypersaline fluids in the Athabasca basin. Electron microprobe analyses reveal that hematite inclusions in quartz overgrowths, as well as some disseminated hematite in clay mineral (illite-chlorite) matrices, in both orebodies and associated alteration halos from five uranium deposits (Arrow, Cigar Lake, Key Lake, McArthur River, and Phoenix) in the Athabasca basin contain elevated contents of uranium (up to 2.16 wt.% UO3). Synchrotron U L3-edge X-ray absorption spectroscopy (XAS) and U 4f X-ray photoelectron spectroscopy (XPS) analyses show that uranium in hematite occurs dominantly as the uranyl species, providing unambiguous evidence for direct uranyl deposition in the Athabasca basin. However, direct uranyl deposition with hematite during a single episode of hydrothermal alteration can account for only low-grade uranium mineralization. High-grade uranium deposits in the Athabasca basin required multiple episodes of hydrothermal alteration and/or other deposition mechanisms, such as those related to reduction.
MODERN METHODS FOR PREDICTING COGNITIVE DISORDERS IN PARKINSON'S DISEASE
Authors:   PhD student, Department of Neurology and Medical Psychology, Tashkent Medical Academy, Tashkent, Uzbekistan, Alisherovna Okhunova Diyora
Published: January 2025

In Parkinson's disease (PD), among the clinical and symptomatic manifestations of the disease in recent years, attention has been increasingly paid to the so-called non-motor symptoms, that is, cognitive disorders. In PD, cognitive disorders can manifest themselves in the form of a decrease in executive, visual, and visuospatial activity and memory impairment from mild to severe dementia. Cognitive impairments of a subjective and objective nature are often found at the level of early and mild manifestations. In such situations, it is important to develop a strategy for predicting the progression of cognitive disorders and developing methods for their prevention. Long-term and multicenter studies conducted over the past 30-40 years have shown that after the diagnosis of PD, dementia develops after ten courses of the underlying disease. This, in turn, aggravates the already complex course of PD with a pronounced decrease in the quality of life of patients.