bluuebunny/crossref_metadata_2025 huggingface dataset:
Environmental Degradation in BRI Countries: Navigating the Role of Natural Resources, Green Energy and Green Finance
Authors: Asghar Muhammad Muzammil , Arshad Zavish , Yousaf Shehzad , Ali Muhammad Sibt e , Tariq Muhammad
Published: November 2024

This study examines the role of natural resources, green energy and green finance in influencing environmental degradation using the data of 105 BRI countries from 2001 to 2021. For data analysis, different panel data estimation approaches, i.e., cross-sectional dependence tests, slope homogeneity tests, panel cointegration tests, FGLS and PCSE models, and DH causality tests, are used. The outcomes of CIPS and CADF tests display that the variables ED, GDP, NR, and GF are stationary at level, whereas GE and TR are stationary at I(1). The Westerlund and Pedroni cointegration tests confirm the long-run cointegration in a model. Furthermore, the FGLS model validates the EKC framework in BRI countries. The findings also show that green energy and green finance are critical for reducing CO2 emissions in BRI countries. The study also shows that natural resources are augmenting the CO2 emissions in BRI countries. Therefore, based on the study outcomes, it is concluded that BRI countries should promote green finance and green energy to enhance environmental quality.
Cultural Media Diversity under Local Autonomy: Policies and Strategies to Promote Local Cultural Expression and Pluralism
Authors: Xunhua Yang
Published: November 2024

The purpose of this study is to explore the impact of cultural media diversity on local cultural expression and pluralism under local autonomy, and to propose corresponding promotion strategies. The diversity performance of cultural media effectively promotes local cultural expression and the development of cultural diversity. The study explores: Whether cultural media diversity has an impact on local cultural expression under local autonomy; Whether cultural media diversity affects local cultural diversity; What role cultural media diversity plays in local cultural expression and pluralism; And what strategies can promote local cultural expression and pluralism under local autonomy. The study finds that the diversity of cultural media is positively correlated with the degree of local cultural expression and pluralism under local autonomy, and proposes strategies to promote local cultural expression and pluralism in the context of local autonomy. Among them, the formulation of policies to support the diversity of cultural media, support for the cultivation of cultural media talents, and the establishment of cultural media cooperation networks are considered to be effective driving factors. The proposed promotion strategies are of great significance for promoting the more comprehensive and diverse development of local culture, and can also help enhance the diversity and creativity of cultural media.
Guarantees and Limitations of the Sustainability Village Autonomy Through Rules of Recognition: Indonesia Experiences
Authors: Muhammad Addi Fauzani
Published: November 2024

This research examines whether the village authority inventory norms regulated in Law Number 6 of 2014 concerning Villages (Village Law). have guaranteed or limited the sustainability of village autonomy. The object of the research is an analysis of village authority inventory arrangements in several districts or cities in Indonesia: Badung Regency, Banyuwangi Regency, Sambas Regency, Sleman Regency, and Sungai Penuh City. The research method is normative research with a statutory and conceptual approach. The study concludes, first, that the village authority regulation model has two sides, on the one hand, it has been regulated in various and different ways both in terms of the type and amount of authority, but on the other hand, village authority is still regulated in a minimalist way. Second, there are still problems in the identification and inventory procedures for the list of village authorities, which have no relevance to the sustainability of village autonomy. The various village authority regulation models are relevant to guarantee the consistency of village autonomy.
Research on Macao Study Tour Policy and Cross-strait Cultural Construction on the Macao Local Government Cultural Industry—Taking the “Ten Thousand Persons Plan”
Authors: Fat Fai
Published: November 2024

The development of Macao's study tour policy is closely related to the cultural industry. Its evolution has enriched cultural experience, promoted exchanges, and driven the coordinated development of the cultural tourism industry from "national education" to "national education + tourism". This study uses intergroup contact theory to thematically analyze 28 respondents' views on cross-strait relations and cross-strait culture. The results show that the study tour can promote exchanges between young people in Mainland China, Hong Kong SAR, Macao SAR and Taiwan Region; it can also directly meet the ideal conditions for intergroup communication mentioned by Allport, and have a positive impact on mainstream ideology and national identity. However, the government can create a cross-strait study tour circle. This circle can provide a better platform for strengthening indirect contacts between different regions. It makes up for the lack of direct contact conditions (spatial distance). This study fills the gap in the literature on enhancing cultural integration, identity construction, and cultural policy impacts among cross-strait youth through study tours, thereby providing a deeper understanding of the cultural relations between mainland China, the Macao SAR, and Taiwan region.
Application of a Criteria-based System for Assessing Students' Competence in Laboratory Work in Higher Educational Institutions
Authors:   NPLC «Karaganda Buketov University», KOKIBASOVA Gulmira , SADYKOV Timur ,   NPLC «Karaganda Buketov University», OSPANOVA Aliyah ,   NPLC «Karaganda Buketov University», DYUSEKEEVA Almagul ,   NPJSC «Abylkas Saginov Karaganda Technical University»
Published: November 2024

Criterion assessment technology is methodologically developed in schools, but it is still in the early stages at universities. Therefore, the purpose of our research is to develop a methodology for the criterion assessment of laboratory work of first-year students. Criterion assessment is a process based on clearly defined criteria that are understandable to students and teachers, which are developed within the team following the educational goals and the content of students' academic achievements. It does not compare the achievements of students with each other and they do not depend on each other, but is aimed at providing information about the level of competence of each student. Criterion evaluation originates in Bloom's taxonomy. In the first stage, students should know and understand the methodology of laboratory work (know, understand), in the second stage (apply), the skills and abilities of performing the experiment and compliance with safety rules are evaluated, at the third stage (analysis, generalization, evaluation), students protect the work performed. In the disciplines of «Inorganic Chemistry», and «Chemistry of elements», a collection of tasks for admission and protection of laboratory work has been compiled. The developed collection of tasks was introduced into the educational process. The results of the experiment prove that in the conditions of updating the model of education, the method of criterion assessment of students' achievements is quite acceptable.
Literature Review: Case-, Team-, and Problembased Learning
Authors:   NPJSC «L.N. Gumilyov Eurasian National University», ABILDINOVA Gulmira , MUKHTARKYZY Kaussar ,   NPJSC «L.N. Gumilyov Eurasian National University», ABYKENOVA Dariya ,   NCJSC «Alkey Margulan Pavlodar Pedagogical University», ASSAINOVA Almagul ,   NCJSC «Alkey Margulan Pavlodar Pedagogical University»
Published: November 2024

This literature review meticulously examines Case-Based Learning (CBL), Team- Based Learning (TBL), and Problem-Based Learning (PBL) as vital active learning strategies that enhance student engagement, critical thinking, and collaboration. It traces the historical origins and theoretical bases of these pedagogies, rooted in constructivist and cooperative learning theories. The review assesses their benefits – CBL's improvement of critical decision- making, TBL's enhancement of teamwork, and PBL's fostering of problem-solving and critical thinking. It also addresses challenges related to assessment, curriculum design, and group dynamics, and explores recent trends like technology integration and interdisciplinary applications. A comparative analysis underscores their significance in offering diverse and dynamic educational experiences, pointing to future research directions and their potential to revolutionize contemporary education.
Transmission and Acceptance of Information in Achieving a Communicative Goal
Authors:   NPJSC «Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev», NURGUJINA Gulara , KHASEN Murat ,   NPJSC «Abylkas Saginov Karaganda Technical University», ABILKASOV Gabiden ,   NPJSC «Abylkas Saginov Karaganda Technical University»
Published: November 2024

A new language teaching technology in teaching professional texts is presented. Communicative-cognitive activity is considered as a means of communication. Establishing and maintaining productive relationships leads to communicative competence. The article tells about the works aimed at mastering the language. The improvement of new pedagogical teaching technologies is described. When achieving the goal of language competence, these issues are considered from the point of view of combining the transmission and reception of information with language activities.
Development of the online course "Statistical Analysis and Information Processing for Scientific Research Works"
Authors:   NPJSC «Abylkas Saginov Karaganda Technical University», ABAYEVA Nella , ZHUROV Vitaliy ,   NPJSC «Abylkas Saginov Karaganda Technical University»
Published: November 2024

The article deals with the main issues of creating an online course «Statistical Analysis and Information Processing for Research and Development». It presents the problem that, according to the authors, can be solved by implementing this online course «Statistical Analysis and Information Processing for Research and Development». The aim is to create an online training course «Statistical analysis and processing of information for research work» for young researchers who face a global problem in the need for statistical analysis and processing of available information. The main objectives of the research have been formulated, which have received their disclosure, and the goal has been achieved. As part of the work to create an online course detailed analysis of scientific and pedagogical literature, studied the experience of more than seventy researchers, the work of which in one way or another could help in achieving the goal.
Stem Approach: A Key Tool for Transforming Kazakhstan's Education System
Authors:   NPLC «Karaganda Buketov University», KAZIMOVA Dinara , SADYKOVA Saltanat ,   NCJSC «Sh. Ualikhanov Kokshetau University», KOZHABAYEVA Azhar ,   NCJSC «Sh. Ualikhanov Kokshetau University», KOSTANGELDINOVA Alma ,   NCJSC «Sh. Ualikhanov Kokshetau University», NASSIPULLAYEV Yerkebulan ,   NPLC «H. Dosmukhamedov Atyrau University»
Published: November 2024

The article is dedicated to the improvement of a new direction in the educational system – STEM education. It discusses the organization of the educational process based on STEM principles, defining the essence and content of STEM education, identifying problems, outlining main approaches to its development, and listing the advantages and disadvantages of STEM education, which include the combination of interdisciplinary practice-oriented approaches to the study of individual disciplines. An analysis of the application of STEM technologies and the project-based learning method is presented, which will facilitate the development of creative thinking and creative potential and create conditions for creative activity in future professional activities. The experience of implementing STEM education in Europe, Asia, and beyond is described, presenting the integration of modern educational technologies, including STEM, into the educational system of Kazakhstan. The article highlights the complexity and multifaceted nature of STEM education, which involves not only theoretical study but also practical application. Examples of STEM education directions are shown, aimed at forming subject-specific, cross-curricular, and basic competencies of school graduates based on an interdisciplinary approach.
Development of a Mobile Application for Virtual Medical Consultations Using Xamarin
Authors:   NPLC «Karaganda Buketov University», SPIRINA Yelena , GORBUNOVA Nadezhda ,   NPLC «Karaganda Buketov University», SAMOILOVA Irina ,   NPLC «Karaganda Buketov University», POPOVA Nadezhda ,   NPLC «Karaganda Buketov University», POLUPAN Ksenia ,   I.Kant Baltic Federal University
Published: November 2024

The paper discusses technologies for developing a medical mobile application with the function of virtual online consultations. It was revealed that applications with the function of online consultations in medicine are relevant and meet the requirements of modern telemedicine. The article analyzes native and cross-platform development technologies. The use of software for developing a mobile application with an online consultation function is justified: C#, Xamarin, XAML, MS SQL, SignalR library. The benefits of using Xamarin have been identified. An algorithm for developing a mobile application for virtual medical consultations is considered.
Indirect Determination of the Active Resistance and Temperature of the Stator Winding of an Asynchronous Generator
Authors:   NCJSC «S. Seifullin Kazakh Agro Technical Research University», NURMAGANBETOVA Gulim , KAVERIN Vladimir ,   NPJSC «Abylkas Saginov Karaganda Technical University», STAZHKOV Sergey ,   D.F. Ustinov Baltic State Technical University «VOENMEKH», EM Gennady ,   NPJSC «Abylkas Saginov Karaganda Technical University», NURMAGAMBETOVA Gulmira ,   NPJSC «Abylkas Saginov Karaganda Technical University»
Published: November 2024

The indirect methods for calculating the temperature of asynchronous generators with the introduction of a pulse component in the power supply circuit of the stator windings of asynchronous generators with squirrel-cage rotor are considered. The relevance of this is sue is determined by the need to improve asynchronous energy converters to increase their reliability and safety. An indirect method for determining temperature based on measuring the resistance of the stator of an asynchronous generator with squirrel-cage rotor is proposed. The method is based on superimposing pulse signals of small amplitude and high frequency of 600 Hz on an alternating mains sinusoidal voltage with a frequency of 50 Hz. There were given the simulation results. The research results confirm the possibility of indirect tempera ture determination and the creation of a thermal protection system for asynchronous energy converters based on the use of estimation methods.
Segmentation of Mobile Application Users in Omni-channel Retail
Authors:   NPJSC «Al-Farabi Kazakh National University», NURGALIYEV Assangali , SHORMAKOVA Asem ,   NPJSC «Al-Farabi Kazakh National University»
Published: November 2024

A prominent issue now facing the retail industry is the process of digitization. The proportion of e-commerce sales in overall retail trade is expanding, and consumers are progressively emphasizing digital services. The prevalence of mobile applications and smart phones is likewise steadily rising. Several merchants provide smartphone applications that integrate online and brick-and-mortar purchasing. While there has been study on the adoption of mobile apps, there is a dearth of evidence about the categorization of users. This study used cluster analysis to categorize mobile app users in the multichannel retail industry. The catego rization is based on a survey conducted with a sample size of 300 consumers. The discovered results have potential utility in the advancement of forthcoming mobile applications for retail.
Formation of the Rear Surface of Multifaceted Carbide Inserts on Grinding and Grinding Machines with Numerical Control
Authors:   Omsk State Technical University, VASILY’EV Evgeny , SHAKHANOV Arslan ,   NCJSC «S. Seifullin Kazakh Agro Technical Research University», ISKAKOV Ruslan ,   NCJSC «S. Seifullin Kazakh Agro Technical Research University»
Published: November 2024

The purpose of the work is to obtain a mathematical expression for calculating the coordinates of the workpiece center in relative movements in accordance with the third shap ing scheme. A certain algorithm for modeling the third kinematic scheme of forming a part with a tool can be implemented by means of an automatic design system. It is noted that the main shaping movements – translational in the direction of the X axis, rotational around the B and C axes are controlled by a numerical control system. This method of grinding makes it possible to process the rear surfaces of plates of any shape, including plates with a clearance angle on the edges and tops. The models of the tool I and the workpiece are shown in the ini tial II and one of the intermediate positions III, the models of the workpiece and the tool for their various relative positions. A relationship has been established between the corresponding translational and rotational motion of the workpiece. The obtained dependences were used in the preparation of control programs on the VZ-700F4 machine tool for grinding multifaceted carbide inserts along the contour.
Qualitative and Quantitative Calculation of the Phase Composition of the Al-Fe-Si-Zr System
Authors:   NPJSC «Abylkas Saginov Karaganda Technical University», BELOV Nikolay
Published: November 2024

The calculation and optimization of the composition was carried out using the Thermo- Calc software product. The Thermo-Calc program generates state diagrams based on the dependence of chemical potentials on temperature. In the TTAL5 thermodynamic database of the Thermo-Calc program, the calculation of the effect of alloying elements contained in a solid solution of Al for alloys of the selected chemical composition was carried out. Taking into account the mixing energy, the minimum equation of free energy for all phases is solved. Here it is possible to obtain a suitable phase composition by forming the Al-Fe-Si-Zr phase in the concentration range of iron and Silicon 0.3-0.5% and 0.1-0.3%. Based on the calculated data, the validity of the calculated data regarding the use of scrap aluminum products as the main raw material for smelting heat-resistant conductive alloys of high strength has a positive effect on the economic component of the production process.
Additive Optimization Method for Choosing CNC Machines for Technological Preparation of Machine-Building Production
Authors:   Abylkas Saginov Karaganda Technical University, Karaganda, Kazakhstan, Zhetessova G , Zharkevich O ,   Abylkas Saginov Karaganda Technical University, Karaganda, Kazakhstan, Shakhatova Aliya ,   Abylkas Saginov Karaganda Technical University, Karaganda, Kazakhstan, Khrustaleva I ,   Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia, Shkodyrev V ,   Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia
Published: November 2024

The introduction of Industry 4.0 into the technological preparation of production leads to the optimization of processes, including the processes of selecting equipment and tools, reducing cycle time, and reducing costs. Technological preparation of production involves a set of works that make it possible to start manufacturing a new product in a given volume. Features of technological preparation of production when using CNC machines follow from the fact that a significant part of the work from the sphere of direct production is transferred to the area of its technological preparation. Technological preparation of production plays an important role in the successful functioning of a machine-building enterprise. Optimization of equipment selection allows you to increase productivity, reduce costs and improve product quality. The use of modern optimization methods and information technology allows you to make this process more efficient and accurate. The article provides a methodology for calculating the additive criterion for optimizing the selection of the best option for CNC machines.
Pertanggungjawaban Hukum Bagi Pelaku Tindak Pidana Kekerasan Dalam Rumah Tangga (Studi Kasus Putusan Pengadilan Negeri Jakarta Barat Nomor 420/Pid.Sus/2023/PN.Jkt Brt).
Authors: Chaerannisa Amelia , Sujatno Adi
Published: November 2024

Penghapusan kekerasan dalam rumah tangga hingga kini masih menjadi pekerjaan rumah yang besar bagi bangsa Indonesia. Kekerasan domestik yang banyak menelan korban perempuan (terutama istri) terjadi di tengah-tengah masyarakat, baik dilakukan secara tersembunyi di dalam rumah maupun dilakukan di luar rumah. Kekerasan Dalam Rumah Tangga menurut Pasal 1 Undang-undang No. 23 Tahun 2004 Tentang Penghapusan Kekerasan Dalam Rumah Tangga dijelaskan bahwa setiap perbuatan terhadap seseorang terutama perempuan yang berakibat timbulnya kesengsaraan atau penderitaan secara fisik, seksual, psikologis, dan/atau penelantaran rumah tangga termasuk ancaman untuk melakukan perbuatan, pemaksaan, atau perampasan kemerdekaan secara melawan hukum dalam lingkup rumah tangga. Rumusan Masalah dalam penelitian ini yaitu bagaimana bentuk pertanggungjawaban Hukum Terhadap Pelaku tindak pidana kekerasan fisik dalam rumah tangga dan bagaimanakah pertimbangan Hukum Hakim dalam menjatuhkan pidana terhadap kasus Kekerasan Dalam Rumah Tangga yang dilakukan oleh suami terhadap istri dalam perkara pidana 420/Pid.Sus/2023/PN Jkt.Brt. Penelitian ini menggunakan jenis pendekatan hukum normatif, yakni pendekatan hukum yang dilakukan dengan menelaah norma-norma tertulis sehingga merupakan data sekunder, yang bersumber dari bahan hukum primer dan bahan hukum sekunder serta bahan hukum tersier. Berdasarkan hasil penelitian tersebut dapat ditarik kesimpulan bahwa ancaman hukuman bagi pelaku kekerasan fisik dalam rumah tangga dengan pidana yang tertuang dalam undang-undang nomor 23 Tahun 2004 tentang Penghapusan Kekerasan Dalam Rumah Tangga yaitu penjara paling lama lima tahun atau denda paling banyak Rp 15 juta diberlakukan bagi setiap orang yang melakukan kekerasan fisik dalam rumah tangga. Pidana penjara paling lama sepuluh tahun atau denda paling banyak Rp 30 juta diberlakukan jika kekerasan fisik tersebut menyebabkan korban jatuh sakit atau menderita luka berat. Pidana penjara paling lama 15 tahun atau denda paling banyak Rp 45 juta diberlakukan jika kekerasan fisik tersebut menyebabkan korban meninggal. Dan pidana penjara paling lama empat bulan atau denda paling banyak Rp 5 juta diberlakukan jika kekerasan fisik tersebut dilakukan oleh suami terhadap istri atau sebaliknya, namun tidak menyebabkan penyakit atau hambatan dalam menjalankan pekerjaan atau aktivitas sehari-hari.
Trends in Anti-Mullerian Hormone levels among Women attending Fertility Clinic in the UAE.
Authors:   Founder, Consultant Gynecological Endocrinology & Reproductive Medicine and Chairman, Fakih IVF Fertility Centre and First IVF Centre Abu Dhabi, United Arab Emirates., Fakih Michael , Fawaz Mouna ,   Research coordinator, First IVF Fertility Centre Abu Dhabi, United Arab Emirates., Nuaimi Shaikha Al ,   Obstetrics and Gynaecology specialist, Arab board accredited, Fakih IVF Fertility Centre Abu Dhabi, United Arab Emirates., Akhtar Muhammad Ahsan ,   Consultant Gynaecologist, Reproductive Medicine, RCOG accredited sub specialist in Reproductive Medicine, Fakih IVF Fertility Centre Abu Dhabi, United Arab Emirates.
Published: November 2024

Background: Anti-Müllerian hormone (AMH) is widely recognised as the gold standard for assessing ovarian reserve. It is also utilised to predict ovarian response during controlled ovarian stimulation in assisted reproductive technology (ART) and is key indicator of oocyte yield, embryo quality, embryo euploidy, and live birth rates.
Penggunaan Model Pembelajaran Artikulasi dalam Meningkatkan Hasil Belajar Siswa di SMPN 2 Pontang
Authors: Anshori Irfan , SA Putri Alvi , Qonitah Ainul
Published: November 2024

This research aims  to measure the use of the articulation learning model on student learning outcomes at SMP Negeri 2 Pontang. This research method uses quantitative methods; using a descriptive approach. The research results explain that the articulation learning model helps teachers in the learning process. The stages of this learning model are very systematic; starting from delivering the material to delivering the material; Benefits of using articulation models; produce students who are independent, dare to appear independent. The advantages of the articulation learning model; all students are involved, train student readiness, train student understanding and increase student participation. Lack of model articulation; requires a lot of time, is suitable for certain materials, the material obtained is small. Analysis of the Articulation Model on Learning Outcomes shows that the coefficient index rxy = 0.44 is between (0.40-0.70). This means that the Articulation Model and learning outcomes have a moderate correlation. The results of the significance test show that tcount = 4.4389 > ttable = 9.48. This means there is a significant positive correlation between the articulation model and learning outcomes. The contribution of the articulation model to learning outcomes is 20.22%.
Tujuan penelitian ini untuk mengukur penggunaan model pembelajaran artikulasi pada hasil belajar siswa di SMP Negeri 2 Pontang. Metode penelitian ini menggunakan metode kuantitatif; dengan menggunakan pendekatan deskriptif. Hasil penelitian menjelaskan bahwa model pembelajaran artikulasi membantu guru dalam proses belajar. Tahapan model pembelaajran ini sangat sistematis; mulai dari penyampaian materi hingga penyimpulan materi; Manfaat penggunaan model artikulasi; menghasilkan siswa yang mandiri, berani tampil mandiri. Kelebihan model pembelajaran artikulasi; semua siswa terlibat, melatih kesiapan siswa, melatih daya serap pemahaman siswa dan meningkatkan partisipasi siswa. Kekurangan model artikulasi; membutuhkan waktu yang banyak, cocok untuk materi tertentu, materi yang didapat sedikit. Analisis Model Artikulasi pada Hasil Belajar menunjukan indeks koefesien rxy = 0,44 berada antara (0,40-0,70). Ini berati Model Artikulasi   dengan hasil belajar terdapat korelasi yang sedang. Hasil uji signifikansi diketahui bahwa thitung = 4,4389 > ttabel = 9,48. Ini berati terdapat korelasi positif yang signifikan antara model artikulasi dengan hasil belajar. Kontribusi model artikulasi pada hasil belajar adalah 20,22%.
Estrategias nacionales e internacionales de prevención de tos ferina
Authors: Benavides Cepeda Javiera , Donoso Puebla Ximena , Faune Pinto Monserrat , Graf Rogazy Douglas , Isla Mundaca Isidora , Zapata Acevedo Keryma
Published: November 2024

Introducción: La tos ferina es una enfermedad infecciosa respiratoria aguda causada por Bordetella pertussis, que, en casos graves, es incluso potencialmente mortal. A pesar de ser una enfermedad inmunoprevenible, cuya incidencia y mortalidad han disminuido, presenta un sostenido impacto en salud pública, especialmente en lactantes menores, quienes concentran la mayoría de casos y muertes. Esto la hace una patología importante a prevenir, detectar y tratar precozmente. Objetivo: Describir y comparar intervenciones de prevención primaria, secundaria y terciaria de tos ferina a nivel nacional e internacional. Metodología: Se realizó una búsqueda de revisiones sistemáticas, revisiones y metaanálisis, publicados entre 2013 y 2023, en las plataformas Pubmed, Cochrane Library y LILACS. También, se consultó en literatura gris de distintas corporaciones y ministerios de salud. Resultado: La vacunación es la medida de prevención primaria más importante de tos ferina, previniendo morbimortalidad infantil, pero sin evidencia en otros rangos etarios. En prevención secundaria, la qPCR parece superar cada vez más al cultivo. En prevención terciaria, los tratamientos contemplan antibioterapia, medidas de soporte mecánico y terapias de leucorreducción. Discusión: En comparación con las estrategias internacionales, en Chile la insuficiente cobertura de vacunación materna y del personal de salud, junto con la falta de consenso y regulación en las técnicas diagnósticas, limitan la efectividad de la prevención y diagnóstico. Conclusión: La tos ferina sigue siendo un problema de salud pública, por lo que es importante fomentar, estandarizar y asegurar la adecuada ejecución de las medidas establecidas en los distintos niveles de complejidad.
Existence and Uniqueness of Anti-Periodic Solution for Second Order Impulsive Differential Equations
Authors: Samir Benhammou
Published: November 2024

In this article, we study the existence and uniqueness of anti-periodic solution to a second order impulsive differential equation as follows:

where  in the   first argument and ϕ are ???? periodic,  is a positive constant. By using the method of coincidence degree.
Theory of Cartan Space with the Generalized Square Metric
Authors: Sonia Rani
Published: November 2024

The rise of generalized square metrics in Finsler geometry is linked to diverse classifications of (α,β)-metrics, showcasing outstanding geometric properties within this field. In this research paper, we have obtained a necessary and sufficient conditions under which a Cartan space with the generalized square metric, K(x,ω)=([α(x,ω)+β(x,ω)]^(n+1))/([α(x,ω)]^n ), admitting h-metrical d-connection becomes a locally Minkowski and conformally flat space.
Design of an Improved Model for Lumpy Skin Disease Prediction Using Graph Neural Networks and Multiple Modal Data Fusion
Authors: Sandeep Sharma
Published: November 2024

An effective Lumpy Skin Disease prediction system mitigates economic losses and ensures animal health. Conventional approaches always fall short in terms of spatial-temporal analytics, very oft coming from a single source of data samples. To this regard, this research addresses the limitations by proposing a holistically integrated approach that puts together advanced machine learning techniques with enhanced disease prediction and management. In this paper, we provide a new framework that integrates graph neural networks for the fusion of graph-structured data with multivariables, attention mechanism, and self-supervised learning into compact feature representations. First, graph convolutional neural networks are utilized for spatial-temporal analysis. GCNs use node features, for instance, epidemiological data, and edge features in the form of connectivity data to generate node embeddings that capture complex dynamics of disease spread. It improved the prediction accuracy by up to 85%, greatly improving the spatial understanding in LSD dynamics. It basically fuses satellite image data, weather data, and livestock movement records through a multiple modal data fusion approach based on multiple head attention networks according to these embeddings. This will result in an enriched feature space in which the attention weights give insights into the relative importance of each data modality. This step improved the prediction accuracy by a further 5%, making the total prediction accuracy to be at 90%. Further fine-tuning of the model is done using self-supervised learning techniques through contrastive learning: SimCLR. This pre-paid feature representations using a large data set with unlabeled historic records on animal health data and environmental data samples. It improves model performance by up to 10% when fine-tuning the representations using LSD-specific data, thereby reducing reliance on labeled data and significantly improving the robustness and scalability of the model. This resulted in an overall accuracy of 95% for the fusion model, attained from the combination of these state-of-the-art techniques. In view of such comprehensive and diversified feature space, it showed very high resilience to adversarial attacks. Veterinary applications, in particular, support interpretability through attention mechanisms and node embeddings. Therefore, this work offers an accurate, robust, and interpretable solution to predict and manage Lumpy Skin Disease, contributing seriously to the domain of veterinary epidemiology.
Evaluating Advanced Algorithms for Digital Image Tampering Detection with a Comparative Study on Accuracy Robustness and Performance
Authors: Vijay P.  Bagdi
Published: November 2024

Since New, more advanced detection methods are needed to protect the validity and integrity of visual material as digital image tampering gets more complex. This work gives a thorough study, analysis, and comparison of the most up-to-date methods for finding changes in digital images. It does this by comparing their accuracy, robustness, and speed across a number of standard datasets. The paper discussed about the different methods used to change digital images, like copy-move, merging, and resampling, which make it hard for recognition systems to work. The study emphasize on a number of advanced algorithms, such as deep learning methods, as well as more standard statistical analysis tools. It goes into detail about how they work and what their basic ideas are. The suggested experimental setting is carefully thought out so that these algorithms can be tested on large datasets that include both natural and artificially altered images. In order to do a complete comparison, performance measures like recall, accuracy, F1-score, and computational speed are used. Each method is also tried to see how well it works when common image manipulations are used, such as adding noise, compressing the image, and changing its shape. The comparison results show that the algorithms were not all created equal in terms of how well they worked. Some were more accurate and reliable, while others were faster at working. Our results show that a multifaceted method is needed to find digital images that have been tampered with. They show the pros and cons of each technique. This study stresses how important it is to combine different spotting methods to make things more reliable generally. Researchers and practitioners who want to create or improve tampering detection systems will find the given thorough review very useful. This will help protect the integrity and safety of digital images as manipulation methods change.
Intelligent Crop Management Optimization using Machine Learning Algorithms: A Linear Analytical Approach
Authors: Ankita H. Harkare
Published: November 2024

This research paper explores Utilizing machine learning techniques in practice, to enhance crop management recommendations. It leverages historical and real-time data, encompassing weather conditions, soil characteristics, growth stages, and past information. A rigorous data prepossessing procedure is employed to generate a well-structured 1.31 lacs data set. Various methodologies are utilized to construct predictive. These models' effectiveness is evaluated using common assessment metrics, such as Recall, accuracy, precision, and F1-score. To enhance the reliability and transparency of the recommendations, ensemble methods such as Naive Bayes, Support vector machines, decision trees, gradient boosting, and random forests, Linear Regression, and k-Nearest Neighbors}, along with interpretative techniques, are incorporated. The results provide insights into different algorithms and predict crucial agricultural activities such as planting, irrigation, fertilization, and pest control. Among all the machine learning models considered, Naive Bayes emerges as the best-performing model, achieving perfect scores of 1.0 in accuracy, precision, recall, and F1-scores. The second-best machine learning model is Random Forests, which follows closely behind with Achieving remarkable results reaching 0.99. These prognostic parameters have a big impact on agricultural productivity and sustainability. In order to improve crop management productivity and resource efficiency, this study promotes the use of data-driven decision-making in agriculture.
Fuzzy Soft Intuitionistic Matrix in Vitiligo
Authors: Divya R
Published: November 2024

The advanced fuzzy soft matrices are being used in many real-life situations at present days. Fuzzy soft matrices can solve the problem that can’t be solved by ordinary matrices. Main goal of this paper is to describe the Intuitionistic Fuzzy soft matrices and find their properties. In this paper patchy loss on body folds, white patch appears places that have been injured in the past, patchy loss of skin color, premature whitening or graying hair, loss of color in Muscous membranes marked by disorientation is taken as important parameters of vitiligo disease diagnosis. Eventually it concludes that the question of making is based on one of Intuitionistic Fuzzy Soft Matrices Operations.
IoT Frameworks: Comparing Efficiency and Scalability in Smart City Applications
Authors: Sushilkumar N Holambe
Published: November 2024

As Smart City apps change quickly, IoT platforms are very important for making it possible to install linked devices and services quickly and on a large scale. The main goal of this study is to compare how well and how easily different IoT systems can be expanded to work in Smart City settings. Being efficient in IoT systems means that they can make the best use of resources, reduce delay, use less energy, and keep data transfer stable. Concerning scalability, on the other hand, we look at how well these frameworks can grow to support more devices and people without affecting security or speed. This study looks at a number of well-known IoT systems, each with its own layout and set of rules made to solve specific Smart City problems. Frameworks like MQTT (Message Queuing Telemetry Transport) focus on lightweight communication and publish-subscribe messaging models. This makes them perfect for situations where low bandwidth and fast data sharing between many devices in cities are needed. CoAP (Constrained Application Protocol) is unique because of its RESTful architecture, which allows for scalability thanks to its stateless design and support for resource discovery. This makes it ideal for use in situations where device interactions are dynamic and spread out, like in traffic management systems or environmental monitoring. The study also looks into systems such as LwM2M (Lightweight Machine-to-Machine), which is known for its effective device control and support for devices that don't have a lot of memory or processing power. Its protocol design makes sure that data sharing and device control work reliably, which is important for keeping service going in large-scale setups like those found in Smart City infrastructures. The study also looks at how these frameworks compare in terms of performance measures like speed, delay, and flexibility when networks are changed and workloads are distributed in ways that are common in Smart City settings.
Exploring the Role of Big Data Analytics in Personalizing E-Learning Experiences
Authors: Sonia Sandeep Bhavsar
Published: November 2024

In this digital age, personalized e-learning experiences are becoming more important. These use big data analytics to make sure that educational material and delivery methods are tailored to each learner's needs. This abstract talks about how big data analytics can be used to make e-learning more personalized, focused on its methods, benefits, and problems. In e-learning, big data analytics makes it possible to gather, process, and look at huge amounts of student data to find useful information. Based on things like learning styles, growth rates, and tastes, these findings are used to make learning situations more relevant to each person. Educators can create unique learning paths that keep students interested and help them remember what they've learned by combining data from different sources, such as how students interact with course materials, test results, and demographic data. Big data analytics makes personalized e-learning possible, which has many benefits. Customized material that is based on learners' hobbies and skill levels makes them more interested and motivated. Adaptive learning systems change in real time to offer more help or tasks, which improves how well students learn. Insights gleaned from data help teachers make better lessons and plan for when students need extra help. This makes teaching more effective overall. On the other hand, there are some problems with using big data analytics in e-learning. Privacy worries about collecting and using learning data mean that strong data security methods and following the rules are needed. Also, combining different types of data and making sure the quality of the data is good is hard to do technically and needs advanced analytics tools and knowledge.
Design of an Improved Method for P-cycle Protection and Dynamic Bandwidth Allocation in Elastic Optical Networks for Healthcare Applications
Authors: Ruchi Dave
Published: November 2024

The acceptance of a modern-day health care system with telemedicine and remote patient monitoring requires extremely reliable and flexible network infrastructures. Thus, the need for very changeable Elastic Optical Networks, with dynamic bandwidth allocation for extremely diversified health care-oriented information, such as real-time video consultation, continuous patient monitoring, and huge medical imaging files. However, the current network infrastructures struggle very often with the optimization of reliability against resource utilization, particularly for unanticipated failures, which will bring service disruption to the healthcare services and damage patient outcomes. To address these limitations, this paper proposes an advanced network protection model using P-cycle protection in EONs to enhance network resilience by minimizing resource consumption. P-cycles refer to backup loops that are preconfigured such that, upon failure of a link, the traffic could be rerouted instantaneously. Unlike the conventionally used protection schemes, the restoration of P-cycles can occur in much faster duration with less resource loss. In this model, we propose an intelligent adaptation of P-cycles consistent with the dynamic bandwidth requirements of healthcare applications. It does manage to achieve these functionalities through the inclusion of algorithms for traffic-aware P-cycle design to optimize the capabilities of the utilized network for recovery through the least wastage of resources. There are huge implications of P-cycle protection introduced in EONs for healthcare networks. It further increases the reliability of systems for real-time patient monitoring by ensuring non-stop data transmission to decrease system latency in the event of a loss of packets caused by a network failure. The principal beneficiaries of telemedicine are uninterrupted services for high-quality video consultation as well as reliable, massive transmission of medical data in the form of MRI and CT images. This is because of the positive results that are beginning to come from health care, which is becoming more reliable and expedient, especially in rural and critical scenarios.
Real Time Anomaly Detection in Big data using scalable machine learning techniques
Authors: Rupali Atul Mahajan
Published: November 2024

Within the age of "huge information," real-time peculiarity spotting is an imperative portion of keeping complex frameworks secure and working appropriately in numerous regions, such as healthcare, back, and organize security. Conventional strategies for finding irregularities regularly can't keep up with the sheer sum, speed, and variety of big information. This can be why it's so imperative to form adaptable machine learning procedures that can do a great work of managing with these issues. This paper gives a intensive see at finding exceptions in expansive sums of information in genuine time utilizing adaptable machine learning strategies. Confinement Timberland, Spilling k-Means Clustering, Autoencoders, and Hadoop-based Arbitrary Cut Woodland. By arbitrarily picking highlights and sharing the information, the Separation Woodland strategy is exceptionally great at isolating exceptions from the rest of the information. This makes it particularly valuable for high-dimensional datasets. Running k-Means Clustering works well in places where information changes over time since it keeps the cluster centers up to date, which is how streaming information works. Autoencoders are a sort of neural arrange that's utilized to memorize how to portray information proficiently and discover issues by looking at recreation botches. Hadoop-based Irregular Cut Forest employments Hadoop's disseminated computing highlights to handle exceptionally huge datasets. It does this by blending the most excellent highlights of Irregular Cut Timberland with Hadoop's capacity to develop. In this think about, these calculations are utilized in real-time circumstances and their victory is judged by how well they recognize things, how rapidly they run, and how well they can be scaled up or down. We utilize a assortment of datasets to test how well each program can discover issues in a wide run of circumstances, from organize activity to managing an account exercises. Whereas each calculation has its claim aces and cons, the comes about appear that joining them or making them superior with blended strategies can enormously upgrade their capacity to discover peculiarities in genuine time.
Resolving Decision Making Issues with Nano Soft Logical Operators
Authors: R. Abinprakash
Published: November 2024

In this paper we have introduced the nano soft operators, such as A???????? ̃, ????????̃, ????????T ̃ and Max-Min product operators. We have solved a lot of real-world issues with the help of these operators. These operators supports correct decision-leading in various decision-making processes.
An Analysis of Anesthesia for C - Section Patients Using Neutrosophic Approach
Authors: C. Jayabharathi
Published: November 2024

This paper vividly describes the multiple object linear integer programming problem, using imprecision method which is applied to solve the mundane life problems, diagnosis and survey-based studies-with the help of neutrosophic fuzzy environment. The empirical intention of the article is to single out the most apt anaesthesia for c- section out of three categorized anaesthesia namely general, regional and local that fulfils the nominal four constraints such as preference of patients, safety, duration of pain tolerance and cost effective. The objectives and constraints to define a problem are created using the data surveyed from authentic anaesthesiologist’s and derived in the Neutrosophic number form.
An Integrated Pythagorean Neutrosophic DEMATEL- Grey Relational Analysis Framework for Assessing Recent Technological Advancements in Maternal Healthcare
Authors: P. Subashini
Published: November 2024

This study proposes a novel methodology that integrates the Decision making trial and evolution laboratory (DEMATEL) technique and Grey relational analysis (GRA) in a Pythagorean neutrosophic environment. This multi-criteria decision-making approach uses the DEMATEL technique to analyze the weights of the criteria and Grey relational analysis to prioritize the  alternatives. The proposed approach is utilized to evaluate the most recent technological advancements in maternity healthcare, along with a pertinent numerical example.