bluuebunny/crossref_metadata_2025 huggingface dataset:
Complicated CVC Placement Leading to Endocarditis in a Young Male
Authors:   “Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado, Hospital Regional Valentín Gómez Farias” Cardiology division Guadalajara, Jal, Mexico, M.D. Assen Ognianov-Iantchoulev , Lozano M.D. Ingrid Ailyn Gonzalez ,   “Instituto Mexicano del Seguro Social, Hospital General Regional 45” Internal Medicine division Guadalajara, Jal, Mexico, Quiroga M.D. Maria Alejandra Minakata ,   “Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado, Hospital Regional Valentín Gómez Farias” Anesthesiology division Guadalajara, Jal, Mexico, Leon Rafael Garcia ,   “Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado, Hospital Regional Valentín Gómez Farias” Cardiac surgery division Guadalajara, Jal, Mexico, Angeles Julieta Martinez ,   Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado, M.D. Jose de Jesus Valdivia Nuno ,   “Centro de neurodiagnostico Salpetriere”, Cardiology Department, Zapopan, Jal, Mexico,
Published: October 2024

A 31-year-old patient presents to our service with fever of unknown origin. During his approach, it is discovered that in an event of anaphylactic shock, a central venous catheter was placed, leaving the metal guide for 2 years. This was the cause of endocarditis, so he went to cardiac surgery where the metal wire was removed, with proper evolution.
Current Issues in Rural Education in Newfoundland and Labrador
Authors: Mulcahy Dennis
Published: October 2024

It has been my privilege over the last fifteen years to meet and work with rural educators, researchers and scholars from all over the world. I have visited many small schools, many in quite remote and isolated places in my home province of Newfoundland and Labrador. I have had many conversations with many students, parents and community leaders. I have disciplined myself to listen and respect the local knowledge that has been shared. I say ‘disciplined’because too often university professors are more apt to talk rather than listen. I have come to realise we academics need to talk less and listen more. These many experiences in rural places and rural schools have been truly educational. That is important because, as we say in Newfoundland, I am a born and bred ‘townie’. That means for most of my life I have lived and worked in an urban area; I have not had the experience of growing up in a rural community or in an ‘outport’as many rural places are called in Newfoundland and Labrador.
PERAN PEMBIAYAAN (MURABAHAH) PADA BMT AL HUDA TERHADAP PENGEMBANGAN SUMBER DAYA MASYARAKAT DI KECAMATAN GRABAG
Authors: Musarofah Musarofah , Fitriyani Yeny , Pudail M
Published: October 2024

Penelitian ini bertujuan untuk menganalisis peran pembiayaan murabahah yang diberikan oleh Baitul Maal wat Tamwil (BMT) Al Huda terhadap pengembangan sumber daya masyarakat di Kecamatan Grabag. Metode penelitian yang diterapkan adalah analisis kasus dengan pendekatan kualitatif. Informasi diperoleh melalui serangkaian wawancara mendalam dengan pihak manajemen, anggota masyarakat yang memanfaatkan pembiayaan murabahah, dan observasi langsung terhadap kegiatan ekonomi yang didukung oleh pembiayaan tersebut. Hasil penelitian ini menunjukkan bahwa pembiayaan Murabahah dari BMT Al Huda memiliki peran yang signifikan dalam meningkatkan akses masyarakat terhadap modal usaha. Melalui pembiayaan ini, banyak pelaku usaha mikro dan kecil di Kecamatan Grabag mendapatkan kesempatan untuk mengembangkan usaha mereka, meningkatkan pendapatan, dan mengurangi tingkat pengangguran. Selain itu, pembiayaan ini juga berperan dalam pengembangan sumber daya manusia, dengan menyediakan pelatihan dan pembinaan kepada para penerima pembiayaan agar mereka dapat mengelola usaha mereka dengan lebih efektif dan berkelanjutan. Selain itu, pembiayaan murabahah juga mendorong pertumbuhan usaha mikro dan kecil di wilayah tersebut, hal ini diharapkan dapat memberikan dorongan yang menguntungkan bagi kemajuan ekonomi di tingkat lokal. Penelitian ini juga menyoroti beberapa tantangan yang dihadapi dalam implementasi pembiayaan murabahah, termasuk tingginya tingkat risiko yang dihadapi oleh BMT Al Huda dan perlunya peningkatan pemahaman masyarakat terkait prinsip-prinsip pembiayaan syariah. Dalam konteks ini, penelitian ini memberikan rekomendasi untuk meningkatkan efektivitas dan keberlanjutan pembiayaan murabahah sebagai instrumen pengembangan sumber daya masyarakat di Kecamatan Grabag.
ANALISIS PENGELOLAAN KEUANGAN KELUARGA DALAM PERSPEKTIF ISLAM
Authors: Farma Junia , Gunawan Eddy , Haris Riyaldi Muhammad , Suryani Sentosa Dewi , Umuri Khairil
Published: October 2024

Pengelolaan keuangan keluarga memiliki peran yang sangat penting dalam menciptakan stabilitas ekonomi dan kesejahteraan bagi anggota keluarga. Akan tetapi masih banyak keluarga yang kurang baik dalam pengelolaan keuangan sehingga sering terjadi permasalahan dalam berumah tangga. Penelitian ini bersifat deskriptif kualitatif berdasarkan pengumpulan data primer. Data diperoleh melalui teknik triangulasi yang memadukan observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa terdapat beberapa hal yang harus diperhatikan dalam pengelolaan keuangan keluarga, yaitu: Pertama menyiapkan perencanaan keuangan keluarga yang baik. Kedua memperhatikan sumber perdapatan keluarga yang baik dan halal. Ketiga mengelola keuangan keluarga dengan baik seperti memperhatikan hawa nafsu, hidup hemat dan sederhana, menyeimbangkan pemasukan dan pengeluaran, menentukan tujuan keuangan keluarga, menentukan skala prioritas keuangan, berinfaq, dan menyimpan uang, serta melakukan investasi untuk jangka panjang. Penelitian ini diharapkan dapat menjadi pedoman keluarga muslim dalam mengelola keuangan keluarga, sehingga bisa terhindar dari berbagai permasalahan yang disebabkan oleh pengelolan keuangan yang tidak baik.
MEMBANGUN PARADIGMA EKONOMI ISLAM DALAM MENINGKATKAN LITERASI EKONOMI ISLAM DI ERA SOCIETY 5.0
Authors: Fathurrahman Rezki Amalia , Sahria  , Muin Rahmawati , Possumah Bayu Taufiq
Published: October 2024

Ekonomi Islam penting karena mengetahui kegiatan dan masalah yang berhubungan dengan ekonomi dengan mengetahui proses produksi distribusi dan konsumsi yang sesuai dengan prinsip syariah Islam. Tujuan penelitian ini adalah mengetahui paradigma ekonomi Islam dengan literasi ekonomi Islam di era society 5.0. Metodologi penelitian digunakan adalah metode kualitatif pendekatan kajian pustaka untuk mengetahui hubungan paradigma ekonomi Islam dengan literasi ekonomi Islam di era society 5.0. Hasil penelitian ini ditemukan bahwa hubungan paradigma ekonomi Islam dengan literasi ekonomi Islam di era society 5.0 saling berkaitan karena untuk mengetahui ekonomi Islam secara menyeluruh maka perlu mengetahui paradigma ekonomi Islam dan metodologi ekonomi Islam kemudian mencari referensi yang berhubungan dengan ekonomi Islam dengan cara menerapkan literasi ekonomi Islam di era society 5.0 karena manusia dituntut untuk beradaptasi dengan dengan teknologi yang dimana teknologi mampu memudahkan manusia dalam melakukan seluruh aktivitas manusia terutama aktivitas kegiatan ekonomi dan segala aktivitas juga menggunakan teknologi. Penelitian ini diharapkan mampu memahami ekonomi Islam secara menyeluruh dengan memahami paradigma dan mencari literasi ekonomi Islam di era society 5.0 dan adanya literasi ekonomi Islam mampu menjadi role model ekonomi Islam secara global.
Relationship between the automatic control system and its integration on unmanned aircraft vehicle
Authors:   National Aviation Academy, Isgandarova Sevil Aflatin
Published: October 2024

In the last decade, unmanned aerial vehicles (UAVs) or drones have become a ubiquitous and integral part of our lives. They appear in great variety in a wide variety of applications for economic, commercial, entertainment, military and academic purposes. This is due to technological trends and rapid advances in control, miniaturization and computerization, culminating in safer, lighter, more reliable, more accessible and cost-effective UAVs. The article discusses the use of unmanned aerial vehicles (UAVs) both in industry as a whole and in its individual branches. The operation of unmanned aerial vehicles in aviation is also described in more detail. The problems that exist today in this area, as well as methods for solving these problems using unmanned technologies, are considered. The important relationship between the automatic control system and its integration into unmanned aerial vehicles is explained. The technical component of the drone is described in detail, as well as the relationship between each link of technical automation equipment. An example of software through which unmanned aerial vehicles are controlled is given. Additionally, application scenarios, potential problems, and security issues are discussed. Finally, future research directions are identified to further improve the research work. We believe that they can provide guidance and motivation for further research.
Artificial intelligence as a tool for researching premature aging
Authors:   Al-Farabi Kazakh National University, Suleimenova M. U. , Mansurova M. E. ,   Al-Farabi Kazakh National University
Published: October 2024

As people age, there is a growing need to comprehend the intricate mechanisms that occur and identify trustworthy indicators for early diagnosis, intervention, and personalized medical care. Detailed analysis of Artificial Intelligence (AI) for the identification of aging markers is presented in this article. Our ability to analyze large datasets in genomics, proteomics, metabolomics, imaging, and clinical records has been greatly enhanced by the integration of AI techniques like machine learning and data analytics. A holistic view of aging markers is provided by the review through the use of AI that integrates clinical data, lifestyle factors, and environmental information. The examination focuses on the use of AI to estimate an individual’s risk of premature aging by considering various factors. The incorporation of AI into the study and identification of aging markers brings about a fundamental change in research on aging. Through this analysis, it is evident that AI has the potential to revolutionize our understanding of aging and aid in the prevention and management of age-related diseases.
Comparison of sdn controllers: performance and functionality evaluation
Authors:   L.N. Gumilyov Eurasian National University, Shyryn B. , Zhumadillayeva A. ,   L.N. Gumilyov Eurasian National University, Othman M. ,   Universiti Putra Malaysia
Published: October 2024

In recent times, there has been a surge in popularity for Software-defined networking (SDN) due to its ability to centralize network management, resulting in greater flexibility and agility. SDN architecture relies heavily on SDN controllers, which play a significant role in controlling and managing the network. However, with a wide range of SDN controllers available on the market, selecting the ideal one can be a daunting task. To assist with this challenge, this article conducts a comparative analysis of several renowned SDN controllers, such as OpenDaylight, Floodlight, Ryu, and ONOS. The assessment is based on two key criteria: performance and functionality. Performance metrics include packet forwarding speed, control plane latency, and memory usage. In contrast, functionality metrics include network virtualization support, security, and scalability. Our evaluation indicates that there is a significant variation in the performance and functionality of the controllers, with some controllers excelling in specific areas compared to others. For example, OpenDaylight had the highest packet forwarding speed, while Ryu exhibited the lowest control plane latency. Concerning functionality, Floodlight presented the most comprehensive security features, whereas ONOS demonstrated the best scalability. Overall, this article presents a thorough evaluation of SDN controllers’ performance and functionality, which can guide network administrators in choosing the most appropriate controller to suit their specific requirements.
Boundary value problems for the harmonic differential equations of the third order
Authors:   L.N.Gumilyov Eurasian national university, Burgumbayeva S. K. , Tungushbayeva D. I. ,   L.N.Gumilyov Eurasian national university, Aldai M. ,   L.N.Gumilyov Eurasian national university, Hurimov B. S. ,   L.N.Gumilyov Eurasian national university
Published: October 2024

The study of the main boundary value problems for complex partial differential equations of any order is limited to model equations. Four main boundary value problems are investigated on the unit disk, namely the Schwarz, Dirichlet, Neumann, Robin problems for analytical functions and more generally for the inhomogeneous Cauchy-Riemann equation. The article considers and proves the properties of Dirichlet and Neumann boundary value problems for three-harmonic functions in a unit disc. The representation of solutions and the conditions of solvability are given explicitly. The fundamental tools are the Gauss theorem and the Cauchy-Pompey representation, as well as Dirichlet and Neumann problems for bi-harmonic equations on a unit circle.
Mechanical models for the study of deformations and morphological structure of the eye shell
Authors:   Satbayev University, Dostanova S. H. , Isakhanova D. E. ,   KazNMU named after S.D. Asfendiyarov, Zhumabek D. E. ,   North-Western State Medical University named after I.I. Mechnikov
Published: October 2024

The paper presents various models used in ophthalmology to predict the occurrence of glaucoma associated with the formation of excavation (deflection) of the latticed plate of the optic disc. The presented review of modern studies on mechanical and mathematical modeling of joint deformation of the cornea and sclera of the eye includes a linear and nonlinear theory of thin shells, including features of the vessels of the optic nerve, characteristics of intraocular pressure and parameters of the shell system. The results of the reviewed studies differ quantitatively and qualitatively. In this regard, the authors present a simple mechanical model of the latticed plate of the optic disc, which is presented as a thin elastic membrane under the action of internal and external pressure. For the solution, the resolving equations for a plate with large deflections are used. Using approximate solution methods, formulas are presented for the maximum values of deflections, thickness changes, and moduli of elasticity of the plate material. An example of a stable state of the membrane in the “small”, i.e. corresponding to the first form of buckling (formation of one dent). An example of a stable state of the membrane in the “small”, i.e. corresponding to the first form of buckling (formation of one dent). As a result of using a mechanical model, a significant amount of information can be obtained for the diagnosis and prognosis of glaucoma.
Evaluation of four-bar mechanisms for bicycle pedals
Authors:   Selçuk University, Acar O.
Published: October 2024

As the Global Warming destroys gradually the life on the earth, vehicles driven by clean energy are of importance. Therefore, in this paper, mechanisms for bicycle drivetrain are scrutinized starting from its initial invention to attract attentions of the people in the field of mechanism. Some recent health problems caused by design of modern bicycles are highlighted. Optional several mechanisms such as crank rocker, double crank, double rocker, slider crank, and inverted slider crank for the drivetrain of bicycle are evaluated. Each of them was assessed in the perspective of applicability by using shelf-ready products. A double-rocker mechanism is schematically designed by using GeoGebra. An analysis for the geometric constraints of the design and torque are presented. Finally, the double rocker was concluded to design a pedal drivetrain. An optimization was carried out by using Microsoft Excel. The optimal dimensions were delivered. The maximum torque 90 Nm. The maximum energy can be produced is 600W.
Principles of suspicious activity detection and programs for analyzing suspicious activity using video surveillance cameras
Authors:   Akhmet Baitursynuly Kostanay Regional University, Kuzenbayev B. A. , Zhussupova B. T. ,   Akhmet Baitursynuly Kostanay Regional University, Sarina A. Zh. ,   Akhmet Baitursynuly Kostanay Regional University, Alippayeva D. Zh. ,   Akhmet Baitursynuly Kostanay Regional University, Babulova G. A. ,   Akhmet Baitursynuly Kostanay Regional University, Karagozhina A. K. ,   Akhmet Baitursynuly Kostanay Regional University
Published: October 2024

This article delves into the principles of detecting suspicious activity, meticulously examining both logical and psychological facets of human behavior. It places a primary focus on diverse programs for analyzing suspicious activity using video surveillance cameras. A comprehensive overview is provided for key categories of suspicious activity, encompassing crowd clustering, rapid movement, intrusion into secure areas, and unattended items. Within the research framework, the advantages and drawbacks of leading programs for suspicious activity analysis through video surveillance are scrutinized. Furthermore, the article introduces the concept of an innovative program aimed at competing with existing solutions. This software aspires to amalgamate the strengths of competitors while avoiding their shortcomings. The research goal is to identify the potential for creating a highly effective software product capable of successfully competing and meeting the requirements of modern surveillance systems.
Application of the conformer model for kazakh speech recognition
Authors:   Institute of Information and Computing Technologies, Mamyrbayev O. ,   Al-Farabi Kazakh National University, Kurmetkan T. ,   Al-Farabi Kazakh National University, Arslan R. S. ,   Kayseri University
Published: October 2024

The article describes the application of a transformer-based conformer model and a convolutional neural network (CNN) in Kazakh speech recognition, with an overview of automatic speech recognition (ASR) technologies. By exploring ways to combine convolutional neural networks and transformers, the best aspects of both models were combined to simulate audio circuits. The structure of the Conformer model is described. To determine the performance of the Conformer model, it was compared with previous Transformer and CNN models. According to the results of the study, the Conformer model outperformed the Transformer and CNN models in recognizing Kazakh speech, and we achieved higher accuracy than our previous studies. During testing, the word error rate (WER) dropped to 12.3 and the letter error rate (SER) dropped to 6.9 percent.
Research and processing of the kazakh children’s acoustic corpus
Authors:   Al-Farabi Kazakh National University, Rakhimova D. , Duisenbekkyzy Zh. ,   Al-Farabi Kazakh National University, Adali E. ,   Istanbul Technical University, Toleugali Sh. ,   Institute of Information and Computational Technologies
Published: October 2024

Recent advancements in speech recognition technology have significantly enhanced accessibility and functionality across various sectors. Nonetheless, the task of recognizing kid’s speech presents considerable challenges. Children from different age groups exhibit distinct speech characteristics, including variations in intonation, articulation, and vocabulary. These variabilities necessitate the development of a robust speech recognition system capable of adapting to the evolving speech patterns of children. This paper describes a methodology for the compilation and processing of a kid’s speech corpus in the Kazakh language, informed by analyses of acoustic corpus from other languages. To construct this corpus, a comprehensive dataset was assembled. A novel hybrid error correction strategy, employing the Levenshtein distance algorithm, was developed to address orthographic discrepancies. This method ena- bles the practical evaluation of speech recognition efficacy, quantified through the computational steps required for word correction.
The model of an intelligent information resource
Authors:   M.Kh. Dulaty Taraz Regional University, Sadirmekova Zh. ,   Institute of Information and Computational Technologies, Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan, Eshmahanova T. ,   M.Kh. Dulaty Taraz Regional University, Tasbolatuly N. ,   Astana International University, Daiyrbayeva E. ,   Satbayev University
Published: October 2024

Currently, there is, on the one hand, an avalanche–like increase in the need for automatic document processing, and on the other hand, the emergence of new effective methods of automatic text processing in natural language and their corresponding software tools and resources. And although these methods, tools and resources are mostly presented on the Internet, many of them remain inaccessible to developers, since they are not systematized, distributed in various catalogs or on separate sites of both humanitarian and technical orientation. All this significantly complicates their search and their practical use in conduct- ing national research in the field of computational linguistics and the development of applied automatic text processing systems. The article is aimed at satisfying the need described above. Its purpose is to develop a model of an intelligent information resource based on modern methods of automatic text processing (IIR NLP). The main purpose of NLP Research and development is to provide convenient meaningful access to specialists in the field of computational linguistics and students specializing in this field to information about modern methods of automatic text processing, including implementations of these methods, pre-trained models, test data, marked-up text corpora and other information resources on this topic. Users of such a resource could be both researchers, teachers and students researching, teaching and studying this discipline, as well as specialists developing software systems designed for automatic text processing. The originality of the proposed approach lies in the fact that the developed ontology of the NLP domain will be used to systematize all the above knowledge, data and information resources and organize meaningful access to them, and SemanticWeb standards and technology tools will be used as a software basis.
Modification of the dimensional doma method for linear elliptic equations
Authors:   Almaty University of Energy and Communications named after G. Daukeev, Tukenova L. M. ,   2 Commercial Joint Stock Company “Narkhoz University”, Kalpebayev А. R. ,   Almaty University of Energy and Communications named after G. Daukeev; 2 Commercial Joint Stock Company “Narkhoz University”, Baimuldina N. S. ,   Almaty University of Energy and Communications named after G. Daukeev, Аituganova Zh. T. ,   Almaty Technological University
Published: October 2024

Currently, one of the most common methods for the numerical solution of boundary value problems are difference methods (grid method, finite difference method). These methods are well suited for solving problems in regular domains. In areas of complex structure, their use leads to a number of difficulties both in the construction of difference schemes, and in the implementation on a computer. One of the methods to overcome these difficulties is the method of fictitious regions. There are four interrelated directions in the development of the method of fictitious regions: study of various ways to continue the original problems in a fictitious area; obtaining unimprovable estimates in stronger metrics; extension of the class of problems on the application of the method of fictitious areas; construction of effective difference schemes for solving auxiliary problems constructed by the method of fictitious areas. For the first time, the fictitious domain method for the Navier-Stokes equation was studied in the work of A.N. Bugrova, Sh. Smagulov, Smagulov Sh. This article discusses the method of additional areas, which is an analogue of the method of fictitious areas for solving linear boundary value problems, but in the auxiliary problem of this method there is no small perimeter. This method is based on the variational principle of solving linear boundary value problems of elliptic type in an arbitrary region. The existence of a solution is proved by the Galerkin uniqueness method.
Correctness of the mixed problem for degenerate multidimensional elliptic-parabolic equations
Authors:   Institute of mathematics and mathematical modeling, Aldshev S. A. , Tanirbergen A. K. ,   Aktobe Regional University named after K. Zhubanov
Published: October 2024

The initial-boundary value problem (Dirichlet problem) for general elliptic-parabolic equations of second order was first posed by G. Fichera. Further investigation of this problem was carried out in the monograph by O.A. Oleinik and E.V. Radkevich and the works by V.N. Vragov. In these works, the authors examined mixed problems for degenerate multidimensional elliptic equations. The articles by S.A. Aldashev focused on the correctness (in the sense of uniqueness of solvability) of the Dirichlet problem in a cylindrical domain for multidimensional elliptic-parabolic equations. A mixed problem for these equations has not been studied. In this paper, the authors demonstrate the uniqueness of solvability and obtain an explicit representation of the classical solution of the mixed problem for degenerate multidimensional elliptic-parabolic equations. The proposed method allows reducing the problem under study to a mixed problem for a degenerate multidimensional elliptic equation examined by S.A. Aldashev.
Innovative approaches to soil remediation
Authors:   Al-Farabi Kazakh National University, Kodebay I. A. , Turalina D. E. ,   Al-Farabi Kazakh National University
Published: October 2024

In a world grappling with environmental challenges, the issue of soil contamination and pollution stands as a significant threat to our planet’s health. This article delves into the critical topic of soil remediation and explores a spectrum of innovative methods aimed at rejuvenating our soil’s vitality. Capitalizing on the latest advancements in environmental science and technology, these approaches offer a promising path toward healing the Earth. This article sheds light on the diverse toolbox available for the restoration of contaminated soils. As we navigate the intricate web of ecological concerns, understanding and harnessing these innovative remediation strategies is crucial for a greener, more sustainable future.
Inverse problem for 2d Laplace equation in polar coordinate system
Authors:   International Information Technology University, Rysbaiuly B. , Ydyrys A. Zh. ,   International Information Technology University, Satybaldina A. N. ,   International Information Technology University
Published: October 2024

The article presents the results of study on finding the thermophysical characteristics of a heterogeneous material based on the heat conductivity equation in polar coordinates, carried out within the framework of the grant project of the Ministry of Science and Higher Education of the Republic of Kazakhstan AP19677594 «Development of methods for finding all nonlinear moisture-heat-conducting characteristics of nonhomogeneous medium, realization of methods by creating machine learning program». The temperature state of a body of a multilayer system of bodies can be characterized using a temperature field, which is understood as a set of instantaneous temperature values at all points of the studied space. It occurs when two bodies with different temperatures come into contact or within one body with areas with different temperatures.
Nexus between Public Finance Management Reforms and Revenue Collection Process in Osun State, Nigeria
Authors: A. E. Olasoko, , A.A Adegoroye, , A. A Alimi,
Published: October 2024

Osun State, Nigeria, is facing poor public expenditure management, which is affecting government capital projects and budget performance, leading to uncompleted projects. This study aimed to examine the relationship between public finance management reforms and the revenue collection process in Osun State. Six hundred questionnaires were distributed to employees in various departments in Osun State. The study is mainly of a survey type, and a purposive sampling technique was adopted to determine the sample size of 500 respondents. Data analysis included descriptive statistics, correlation, and regression at a 5% level of significance. The results showed that public finance management reforms significantly affected the revenue allocation process in Osun State. Specifically, the R-square from the model revealed that the independent variables collectively explained 53.2% of the variance in the revenue collection process in Osun State. Moreover, fiscal discipline (β = .319, p < .05), accountability mechanisms (β = .180, p < .05), financial reporting quality (β = .195, p < .05), efficiency in resource allocation (β = .144, p < .05), and revenue mobilization (β = .398, p < .05) were all found to be significant predictors of the revenue collection process in Osun State. All tests were carried out at a 5% level of significance. The regression analysis revealed a significant impact of public finance management reforms on the revenue collection process in Osun State. Fiscal discipline, accountability mechanisms, and revenue mobilization were significant predictors of the revenue collection process.
Internet Exchange: A Catalyst for Digital Economy Towards AI-Driven Governance (Govtech)
Authors: Muhammad Mohd Hilal , Ahmarofi Ahmad Afif , Mohd Zukhi Mohd Zhafri , Zharif nor A’zam Muhammad Khairul , Othman Muhammad Hanif
Published: October 2024

The rapid advancement of digital technologies has underscored the critical role of Internet Exchange (IX) points in shaping the Digital Economy and facilitating AI-driven governance (GovTech). This study addresses the problem of how IX infrastructure impacts the efficiency and effectiveness of digital services and AI applications within governance structure. The aim of the study is to explore the synergy between IX points and the Digital Economy and to analyse their combined influence on AI-driven governance, particularly focusing on how these elements contribute to enhanced public administration and economic growth. Utilizing a mixed-methods approach, the study integrates quantitative analysis of IX infrastructure impact, comparative case studies, and empirical data from recent advancements in digital technologies. Data were collected through surveys of key stakeholders, performance metrics of digital services, and case studies from diverse geographical contexts. The analysis employed statistical methods to assess correlations between IX infrastructure quality and digital economy outcomes, as well as the effectiveness of AI integration in governance. The findings reveal that robust IX infrastructure significantly enhances digital transaction efficiency and supports the effective deployment of AI technologies in governance. High-quality IX points contribute to reduced latency and improved data throughput, which are essential for real-time analytics and decision-making processes in public administration. This synergy fosters a reinforcing loop where advancements in IX infrastructure bolster AI capabilities, driving both economic growth and enhanced governance. The implications of the study are twofold. Theoretically, it extends the Resource-Based View (RBV) and Technology Acceptance Model (TAM) by integrating them within the context of digital infrastructure and governance. Practically, it underscores the need for policymakers to invest in and equitably distribute IX infrastructure to support digital and AI advancements. The study highlights the importance of addressing regional disparities in IX infrastructure and suggests future research into the long-term effects of IX investments on technological and economic outcomes.
Strategic Training Practices and Firm Performance among Human Resource Management Consultancy Firms in Nairobi Kenya
Authors: Nyangeri Douglas Gechungi , Kimwolo Dr. Andrew
Published: October 2024

Firm performance is essential for competitiveness, but many firms struggle with executing functional strategies, resulting in poor outcomes. In a dynamic market, strategic training is critical to maintaining superior performance, especially with growing global competition. Despite significant investments in employee training, the effect of strategic training on firm performance among HR consultancy firms in Nairobi, Kenya, remains underexplored. This paper aimed to examine the role of strategic training practices in firm performance. The study examined the effects of employee motivation to learn, the impact of perceived supervisor support and the effect of employee training attitudes on firm performance in HR consultancy firms. The study was grounded on learning organization theory. An explanatory research design was adopted, utilizing questionnaires to collect data from 185 human resource management consultancy firms in Nairobi. The data was analyzed using descriptive and inferential statistical methods to draw meaningful insights. The study highlighted the crucial role of strategic training and employee commitment in enhancing firm performance. Additionally, motivation to learn, supervisor support, and positive training attitudes showed strong positive correlations with performance in Nairobi’s HR consultancy firms. The regression analysis indicates these variables explain 2.3% of the variance in firm performance (R² = 0.023). The motivation to learn (β=0.079, p=0.009), supervisor support (β=0.128, p=0.022), and training employee attitude (β=0.196, p=0.013) were found to be statistically significant predictors of firm performance. In conclusion, strategic training practices such as motivation to learn, supervisor support, and employee attitudes significantly enhance firm performance. The study recommends that HR consultancy firms in Nairobi prioritize fostering employee motivation through continuous professional development and training. Strengthening supervisor support via leadership programs and promoting positive attitudes toward training, aligned with employee career goals, will enhance both individual growth and firm performance.
Анализ рисков внедрения технологий открытых программных интерфейсов в банковской сфере
Authors: Золотоус О. А.
Published: October 2024

Внедрение открытых программных интерфейсов в банковскую сферу в последние годы набирает все большую значимость, так как данная технология позволяет значительно автоматизировать ряд бизнес-процессов, увеличить количество обрабатываемых данных и качественно изменить модель обслуживания клиентов. Характер и категория передаваемых финансовых данных, а также существующая политическая обстановка, накладывают значительные обязательства на участников информационного обмена и требуют особо внимательного контроля со стороны регулятора. Центральным Банком России уже разработана Концепция внедрения открытых программных интерфейсов на финансовом рынке, в настоящий момент разрабатываются и уточняются стандарты информационного обмена между игроками. Опираясь на теоретическую базу, требования регулятора и опыт внедрения технологий открытых программных интерфейсов в российских банках, в статье анализируются предпосылки цифровой трансформации банков и переход к технологии открытых программных интерфейсов, разбираются принципы технологии и изучаются преимущества и перспективные направления ее внедрения в российские банки, формулируются и оцениваются возможные риски при внедрении технологии, составляется матрица рисков. В завершении статьи на основе анализа матрицы рисков, примерах существующих решений на российском рынке, предлагаются направления их минимизации.
Harnessing future cash flows for financial policy: a model for financial resource mobilization through securitization
Authors: Abdulazeez Mohammed Imad
Published: October 2024

This research focuses on securitization, which involves issuing securities backed by assets, debts, mortgages, future receivables, or future cash flows. It particularly examines future flows securitizations, an important area of securitization that is well-suited for investors in developing countries due to its mechanism and nature. This type of securitization is based on the future cash flows of corporations, enabling the issuance of debt instruments to corporations, individuals, and even countries. These instruments, such as bonds, are repaid from the future receivables of the projects financed through this process. The research reviews the subject literature and theoretical framework, and then applies a model to health institutions in Iraq. The goal is to design a pattern that enables these institutions, or any other organization, to meet their financial needs for future expansion or other purposes. The research concludes with several findings and recommendations. The research aims to identify the nature and amounts of cash flows and propose mechanisms for institutions to obtain necessary financing for future expansions, new projects, or other purposes. The study included several conclusions and recommendations.
Exploring aegle marmelos (bael fruit): understanding its health benefits and potential for therapy
Authors: Anjali Anjali
Published: October 2024

The kidneys  play a crucial role in maintaining the body's fluid balance through precise regulation of sodium, chloride, and water levels. They expel sodium and chloride, prompting water release and reducing fluid volume. Conversely, retaining these elements leads to water retention and increased fluid volume. This intricate mechanism ensures internal stability. Kidneys filter these substances into tubules, with most being reabsorbed into the blood and exiting as urine. Complex processes in various tubule segments complicate sodium and chloride reabsorption. Diuretics are valuable in treating edema, congestive heart failure, and hypertension. Bael (A. marmelos), a significant herb in Ayurveda, contains compounds like flavonoids and alkaloids. It's used for diarrhea, diabetes, inflammation, and hyperlipidemia. An alcoholic extract from the mature fruit of Aegle marmelos exhibits diuretic activity, potentially assisting with common kidney ailments. Bael's therapeutic potential arises from its diverse compounds and established use in traditional medicine.
Screening of anti-diabetic potential of the siddha formulation sambirani poo kuligai by in-vitro alpha glucosidase enzyme inhibition assay
Authors: Anbu Dharani
Published: October 2024

Background: Noninsulin-dependent diabetes mellitus (NIDDM) is a common disease of the endocrine system caused by the decreased secretion of insulin by the pancreatic Langerhans beta cell or by the lowering of insulin resistance due to excessive absorption of glucose. The Siddha system of medicine is a traditional medical system that uses a scientific and holistic approach to provide preventive, promotive, curative, rejuvenative and rehabilitative health care. According to Siddha literature, diabetes is known as Innippu Neer, Madhumegam and Neerizhivu. The various reasons   for   the   cause   of   this   disease   are attributed to foodhabits and lifestyle changes and also   due   to   hereditary   causes. One of the therapeutic approaches is to decrease the postprandial hyperglycemia by retarding the absorption of glucose through the inhibition of carbohydrate-hydrolyzing enzymes, such as a-amylase and ?-glucosidase.  ?-Glucosidase are enzyme that catalyze the absorption of digested glucose from dietary polysaccharides in the small intestine. Aim: The aim of the present study is to evaluate the anti-diabetic potential of the siddha formulation of Sambirani Poo Kuligai(SPK) by alpha glucosidase enzyme inhibition assay. Method: The spectrophotometric assay method was used to find alpha glucosidase inhibitory activity. Results: SPK showed presence of alpha glucosidase inhibitory potential with the maximum inhibition of about 41.74 ± 3.578 % and the corresponding IC50 is 606.5 ± 49.51?g/ml. Conclusion: This in-vitro study revealed the presence of the alpha glucosidase activity in the siddha formulation Sambirani Poo Kuligai possesses antidiabetic activity
Federated Learning: From Origins to Modern Applications and Challenges
Authors: Bharathi M. , Srinivas T. Aditya Sai , Bhuvaneswari M.
Published: October 2024

Federated learning is an innovative machine learning approach that allows models to be trained collaboratively across decentralized data sources, all while keeping sensitive information where it belongs on local devices. This method has gained significant attention in recent years, primarily because it offers a way to address growing concerns around data privacy and security. Instead of collecting data in a central location, federated learning enables different entities, like hospitals or financial institutions, to work together on model training without ever sharing their raw data. This makes it particularly valuable in fields where privacy is paramount. This paper explores the evolution, applications, and challenges of federated learning, providing a well-rounded understanding of its potential. The benefits are clear: enhanced privacy, increased collaboration, and the ability to leverage diverse datasets. However, there are also challenges to be addressed, such as improving communication protocols, ensuring scalability, and developing stronger privacy-preserving techniques. By systematically reviewing literature from peer-reviewed journals and reputable sources, this study reveals that while federated learning offers a promising path forward, more research is needed to overcome its current limitations. Ultimately, this paper contributes to the growing body of knowledge on how federated learning can shape the future of secure and efficient decentralized learning.
Digitizing Karachi's Decades-Old Cadastral Maps: Leveraging Unsupervised Machine Learning and GEOBIA for Digitization
Authors: Ahmed Muhammad Waqas , Ahmed Muhammad , Shaikh Asif Ahmed
Published: October 2024

In urban planning, land-use change is paramount for ensuring sustainable urban ecosystems. Monitoring, analyzing, and quantifying land use change is crucial to making statistical inferences and predicting the economic, environmental, and societal impacts of urban expansion. Recent technologies have enabled robust monitoring, recording, and documenting of spatio-temporal trends. When historical data remain nondigital, integrating modern technologies with traditional paper-based town maps becomes invaluable for digitization. Despite significant efforts in this field, little exploration has been done of the potential of Geographic Object-Based Image Analysis (GOBIA) for digitizing paper-based cadastral maps. This study introduces an innovative approach using unsupervised learning algorithms, K-means and Gaussian Mixture Models (GMM), in conjunction with GEOBIA techniques, to accurately extract land parcels from decades-old cadastral maps of Karachi, Pakistan. Initially, the maps were georeferenced using ArcGIS software, and unsupervised machine-learning algorithms were applied to preprocessed scanned images. Both clustering algorithms were evaluated based on key performance metrics, such as precision, recall, and F1 scores. The experimental results indicated that both algorithms performed well, with GMM slightly outperforming K-means in all aspects. GMM achieved 0.87 precision and recall and 0.86 F1 score of 0.86, while K-means achieved 0.82 precision, 0.78 recall, and 0.78 F1 score. Finally, unwanted features were removed by implementing a geometric criterion based on feature size and shape. This methodology effectively distinguishes between adjoining land parcels and ensures precise extraction of cadastral boundaries and land parcels, providing a reliable foundation for urban research and modeling.
Effective Classifier Identification in Biometric Pattern Recognition
Authors: Hossain S. M. Emdad , Khairy Sallam O. F. , Soosaimanickam Arockiasamy , Raisuddin A. M.
Published: October 2024

Next-generation identity verification using biometric features is nearly foolproof with the right classifier. However, selecting the correct classifier poses a key challenge, particularly in the recognition of biometric patterns. High-potential projects may face delays due to a lack of the right recognition mechanism or the malfunction of the selected classifier. This could also result from not choosing the appropriate classifier that aligns with the project's patterns. This study aims to evaluate various classifiers with potential in biometric research and the capabilities of different machine learning algorithms. Several classifiers were experimentally evaluated in combination with dynamic algorithms. The ultimate objective was to identify a standard classifier suitable for general biometric pattern recognition. Using well-known biometric pattern datasets, multivariate algorithms, such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), were applied. These methods were combined with different classifiers, including SVM-L, MLP, KNN, etc. After analyzing the results obtained, the combination of LDA with MLP outperformed other approaches in terms of accuracy.
Performance of RC Beams reinforced with Steel Fibers under Pure Torsion
Authors: Jehad Alan Mohammed Faidi , Al-Sherrawi Mohannad H.
Published: October 2024

Reinforced Concrete (RC) beams are designed to resist torsion and shear and flexural failure due to applied loading. The failure mode of concrete elements owing to shear and torsion is unwanted and occurs without warning. So, in the design process it must be taken into account that if failure takes place, it is preferable for it to be flexural as this gives an indication before it occurs. The aim of the present study is to investigate the impact of using steel fibers with and without ordinary torsional reinforcements, on the torsional strength, crack distribution, and ductility of RC beams. The intended plan is to investigate the torsional capacity enhancement of RC beams with added steel fibers under monotonic torsional load. The finite element approach was adopted in the ABAQUS software in which the RC beams were simulated and the torsional load was applied. The results indicate that the presence of steel fibers within the concrete matrix raises torque resistance, reduces twist angle, and increases ductility, stiffness, and energy dissipation. An increase in the steel fiber percentage improves the performance of RC beam torque strength capacity and minimizes twist angle. The percentage of steel fiber has an important impact on the ultimate torque value. The ultimate torque increased by about 15, 21.6, 29, 39.3, 46.6, and 5.9% for 0.5, 1, 1.5, 2, 2.5 and 3%, respectively, added steel fibers, in comparison with the reference beam.
Flood Vulnerability Mapping of the Kosi River Basin using a Multi-Criteria Decision-Making Approach
Authors: Kumar Akshay , Jha Ramakar
Published: October 2024

The research presented in this study introduces a novel methodology for delineating flood-prone regions within the Kosi River Basin, utilizing a multi-criteria decision-making approach. This method integrates multi-criteria analysis, Geographical Information Systems (GIS), and Remote Sensing (RS). The specific process involves the creation of flood susceptibility maps based on five crucial factors: rainfall, land use/cover, slope, drainage density, and distance from the river. Expert judgments were incorporated and translated into weighted values to ascertain the relative significance of each factor in determining flood susceptibility. Weight calculations were performed using the Fuzzy Analytic Hierarchy Process (FAHP). The findings of this study indicate that across all 10 districts in the region, a varying degree of land area is classified as high-risk, with Madhubani displaying the highest percentage of land area categorized as of very high-risk. Key challenges include data accuracy and model generalization, with potential applications in other flood-prone areas. This approach not only improves the precision of flood susceptibility mapping, but also offers valuable insights for disaster management and planning in areas with limited data availability.