bluuebunny/crossref_metadata_2025 huggingface dataset:
Techniques for Enhancing User Engagement through Personalized Ads on Streaming Plat-forms
Authors: Arth Dave  , Raja Kumar Kolli  , Chandrasekhara Mokkapati  , Om Goel  , Dr. Shakeb Khan  , Prof.(Dr.) Arpit Jain
Published: October 2024

The rapid growth of streaming platforms has transformed the media consumption landscape, providing unique opportunities for advertisers to reach highly targeted audiences. Personalized advertising has emerged as a powerful tool to enhance user engagement by delivering relevant content tailored to individual preferences and behaviors. This paper explores the various techniques employed to optimize personalized ads, focusing on the role of data analytics, machine learning, and artificial intelligence in understanding user preferences and consumption patterns. By leveraging real-time data, advertisers can create dynamic, adaptive ads that resonate more deeply with users, leading to improved engagement and retention rates. Additionally, the study examines the ethical implications of data privacy and user trust, highlighting the balance between personalization and user consent. The findings suggest that strategic implementation of personalized ads, combined with a transparent approach to data usage, can significantly enhance user satisfaction and the overall effectiveness of advertising campaigns on streaming platforms.
This abstract introduces the key techniques and challenges in personalizing ads for streaming platforms, emphasizing user engagement and ethical considerations.
Leveraging Data Engineering Techniques for Enhanced Business Intelligence
Authors: Satish Vadlaman  , Phanindra Kumar Kankanampati  , Rajas Paresh Kshirsagar  , Prof.(Dr.) Arpit Jain  , Dr. Shakeb Khan  , Om Goel
Published: October 2024

In the rapidly evolving digital landscape, businesses are increasingly dependent on data to drive strategic decisions and maintain a competitive edge. The integration of data engineering techniques with Business Intelligence (BI) has become a key enabler for organizations to transform raw data into actionable insights. This paper explores how modern data engineering practices, such as Extract, Transform, Load (ETL) pipelines, data lakes, and data warehousing, play a pivotal role in enhancing BI systems. These practices streamline the process of data extraction from diverse sources, data transformation for consistency, and storage in optimized repositories to facilitate analysis.
Moreover, the implementation of real-time data processing and cloud-based solutions has revolutionized how businesses manage large-scale datasets, enabling the handling of both structured and unstructured data with increased speed and flexibility. The rise of big data technologies such as Hadoop, Spark, and NoSQL databases further extends the ability to perform complex queries and predictive analytics, empowering decision-makers with timely, accurate insights.
This abstract underscores the importance of building scalable, efficient data infrastructures through advanced data engineering methodologies. By integrating these techniques, businesses can ensure data quality, improve operational efficiency, and support comprehensive BI systems that drive innovation. Ultimately, this leads to more informed decision-making, enhanced customer experiences, and greater adaptability in the face of market changes. The effective combination of data engineering and BI is critical for leveraging data as a strategic asset in today’s competitive business environment.
ONLINE PRACTICE TEST BANK SOLUTION: A WEB-BASED REVIEW PLATFORM FOR LIBRARY AND INFORMATION SCIENCE PRACTITIONERS
Authors: Cyndiarelle G. Abordo
Published: October 2024

Test construction and test administration in most institutions still adopt the traditional pen-and-paper method of examination, which is very tedious (Kotwal et al., 2016). Its lengthy process can limit the time instructors in devoting to their proactive instruction and assessment. The general purpose of the study is to develop an Online Practice Test bank for Library and Information Science Practitioners. To actualize the Online Practice Test bank, the researcher followed the three phases of the modified rapid application model: Planning or Analyze Phase, Design and Development or Prototyping Phase, and Testing. The result of the study revealed that the developed system was able to execute its different operations. Specifically, by providing an avenue to the contributors/review masters and the reviewees to communicate and interact regarding the different reviewers provided. The reviewees can also track their progress through the learning analytics feature of the system. The contributors/review masters can monitor if the review materials they have provided has efficient test items by accessing the test item analysis. The system also has undergone functionality testing through conducting test cases, which have also gained positive remarks. Based on the results of the developed Online Practice Test bank, it is concluded that the system attained its three objectives in having integrated features that would be a great help, especially to the future licensed professional librarians as they will have a platform where they do their review and assess their knowledge on the six core subjects of library science. It is therefore recommended that mobile or android-based user modules must be developed for it to be more accessible to the users. And also an automated intervention or scaffolding for coping with the results from the performance of the review. And it must have an option or platform for contributors outside the institution who want to share their review materials relevant to the Library and Information Science profession.
UNLOCKING ALGEBRA: DEVELOPING STRATEGIC INTERVENTION MATERIALS TO BOOST GRADE VII COMPETENCIES
Authors: Matthew E. Cañeda  , Ronilo A. Jandog  , Jell Mark L. Tubo
Published: October 2024

This study aimed to develop a Strategic Intervention Material (SIM) addressing the Least Learned Competencies of Grade 7 students in a public secondary school in Agusan del Sur, specifically focused on solving problems involving algebraic expressions during the 2021-2022 academic year. The research employed an educational design approach to systematically design, develop, and evaluate the intervention. The study identified the most preferred activities by student evaluators across the six facets of understanding, which included "Concept Map," "Represent Me," "My Facemask," "Tiles," "You Are X Years Old," and "Synthesis Journal." Furthermore, teacher validators rated the instructional quality of the SIM in terms of content, format, presentation, organization, and accuracy as very satisfactory, with an overall weighted mean of 3.63. These results highlighted extension activity and implementation of the SIM to address student’s difficulties in the least learned areas, contributing valuable insights for enhancing instructional materials in Mathematics education.
KEYWORDS: Strategic Intervention Material (SIM), Solving Problems, Algebraic Expression, 6 Facets of Understanding, Math Education.
Cinema Counts: The Computational Turn and Quantitative Methods in Film Studies
Authors: Stelmach Miłosz
Published: October 2024

The aim of this text is a critical analysis of current developments and potential applications of quantitative methods in film studies. Within its scope, a concise reconstruction of the methodological foundations, historical development, and key achievements of statistical, experimental, and digital humanities tools in relation to audiovisual media research is conducted. This involves a review of the phenomena that have developed so far as well as a philosophical consideration of the sources, consequences, and potential limitations of quantitative thinking in an area traditionally occupied by the humanities. Quantitative methods are not considered here as a replacement for existing paradigms, but rather as their complement, extension, and often inspiration. This allows to understand the current transformations but also integrate them with traditional research approaches, and identify the pitfalls and difficulties associated with this paradigm shift.
Z ducha partnerstwa. Narodziny śląskiego filmoznawstwa z perspektywy świadka
Authors: Gwóźdź Andrzej
Published: October 2024

Na przykładzie archiwalnych dokumentów, artykułów oraz świadectw uczestników wydarzeń autor ukazuje początki działalności ośrodków filmoznawczych w Katowicach i Krakowie, powiązane osobą prof. Alicji Helman. Swoista unia personalna uczniów prof. Helman z Uniwersytetu Jagiellońskiego z pracownikami Uniwersytetu Śląskiego zdecydowała o awansie powołanego do życia w 1974 r. w Uniwersytecie Śląskim Zakładu Wiedzy o Filmie, który rozpoczął funkcjonowanie rok po powstaniu pionierskiego Zakładu Teatru, Filmu i Telewizji (1973) i na rok przed uruchomieniem Zakładu Filmu i Telewizji (1975). Ważny dla dziejów polskiego filmoznawstwa etap rozwoju myśli filmowej został ukazany w całej złożoności splotu osobowego i jego dyscyplinarnej różnorodności.
Film i nieubłagane tryby historii
Authors: Rutkowska Teresa
Published: October 2024

Autorka opisuje sylwetkę i twórczość Władysława Jewsiewickiego, który jest uważany za pioniera prehistorii i historii polskiego kina przedwojennego. Po odzyskaniu przez Polskę państwowości w 1918 r. aż do wybuchu II wojny światowej nie powstała żadna syntetyczna historia filmu i kina, nie było też archiwum filmowego. Jewsiewicki na początku lat 50. sporządził pierwszy spis filmów fikcjonalnych, dokumentalnych, reklamowych, propagandowych, oświatowych i animowanych powstałych w latach 1896-1939 oraz tekstów o filmie, opisywał dzieje pierwszych wynalazków kinematograficznych, spisał też syntetyczne dzieje filmu niemego i dźwiękowego w Polsce przedwojennej. Kolejne pokolenia historyków filmu odwoływały się do jego prac dokumentacyjnych. Obecnie żywo rozwija się trend regionalnych historii kina przedwojennego w nurcie Nowej Historii Kina, a także w nawiązaniu do archeologii filmu i mediów z inspiracji Thomasa Elsaessera. (Materiał nierecenzowany).
Analysis of the main structural elements and performance indicators of the health care system of ukraine
Authors:   Classic Private University, Shyshka Ihor
Published: October 2024

The article analyzes the performance indicators of the health care system for the period 2010-2019. The analysis and characterization of the main indicators of the health care system for the period 2010-2019 allowed the author to conclude that the existing infrastructure of the industry is still quite cumbersome, characterized by the dominance of specialized and inpatient medical care and the irrational use of the potential of outpatient polyclinic institutions. According to the main criteria, such as the relationship of property rights, methods of financing, the role of the state in the management of the industry, and mechanisms for stimulating medical workers and consumers of services, the domestic health care system still has signs of the Semashko`s model, which does not meet modern requirements regarding the need to use high-value medical technologies and is unable to provide high-quality medical services. The main criteria for the classification of healthcare systems are identified and the affiliation of the healthcare system of Ukraine to one of the models of medical systems has been identified. Approaches to creating a system of hospital districts in accordance with the current legislation of Ukraine are characterized. It was determined that the main tool for reforming the national health care system is the creation of hospital districts, which will ensure the provision of higher quality medical services and significantly reduce the costs of maintaining the medical infrastructure in Ukraine. At the same time, one notes that strategic planning at all levels of the national health care system should be the leading technology for the formation of an effective system of medical institutions. Keywords: health care system, system of medical institutions, models of medical systems, hospital district, hospital cluster.
Analysis of stream types in Klamath Network parks based on physical habitat and chemical characters
Authors: Dinger Eric , Dinger Eric
Published: October 2024

This is the first ?Analysis and Synthesis? report required by the Klamath Inventory and Monitoring Network?s stream monitoring protocol. This report synthesizes the physical and chemical attributes of streams surveyed by the Klamath Network between 2011 and 2018 in the following parks: Crater Lake National Park, Lassen Volcanic National Park, Whiskeytown National Recreation Area, Redwood National and State Parks, and Oregon Caves National Monument and Preserve). Where possible, it categorizes individual streams into groups using multivariate exploratory analyses and assigns statistical significance to the groups via Similarity Profile analyses.

Streams are sorted into similar groups for eight different metric categories: Channel Morphology (e.g., bank angle, width, depth, etc.), Habitat Complexity (amount and types of cover), Large Woody Debris (categories of length and diameter of fallen wood), Riparian Characters (e.g., percent cover of tree, shrub, and groundcover types), Slope and Sinuosity, Stream Substrate (e.g., percent fine substrate, median substrate size), Water Chemistry (e.g., nutrients and salts), and Water Quality (e.g., dissolved oxygen, turbidity).

Secondary to the categorization of streams within each park, the streams are compared among parks to identify which parks may have similar streams. Similar streams potentially share both common stressors and common management practices for resource management.

The analyses in this report form the foundation of future work; they are ?basic? results. Follow-up work will use these basic results more fully, such as for analyses that incorporate biological data and support trend reports.
The main body of the report presents a high-level overview of individual park results and inter-park comparisons. The appendices present full results for each park, including numerous figures and maps. Oregon Caves National Monument and Preserve results are limited by small sample size (n = 3) and the hand-selected sampling scheme we used instead of a probabilistic sampling scheme. However, including Oregon Caves? sites in this analysis puts them into a larger network context.
Makna Tekstual dan Kontekstual Pada Majas Personifikasi dan Hiperbola Dalam Surat Yusuf Ayat 47-49 dan Teks Berita di Media Massa Dalam Menanggapi Fenomena El Nino dan La Nina
Authors: Himmah Al Husnah Shabrina Naila , Adzillina Fikri Yona , Susiawati Wati , Nisa Mauidlotun
Published: October 2024

Penelitian ini merupakan penelitian kebahasaan yang bertujuan untuk mendeskripsikan makna tekstual dan kontekstual majas hiperbola dan personifikasi yang terdapat dalam surat Yusuf ayat 47-49 dan teks berita di media massa yang membahas tentang fenomena El Nino. Penelitian ini menggunakan metode analisis konten dengan pendekatan kualitatif. Peneliti membahas adanya ayat al quran yang mengandung majas personifikasi dan teks berita di media massa yang mengandung majas hiperbola. Ditemukan bahwa kedua hal tersebut memiliki keselarasan peristiwa, yakni membahas keadaan masa kemarau yang berkepanjangan.
This research is a linguistic research which aims to describe the textual and contextual meaning of hyperbole and personification figures of speech contained in Yusuf's letter verses 47-49 and news texts in the mass media which discuss the El Nino phenomenon. This research uses a content analysis method with a qualitative approach. Researchers discuss the existence of verses from the Koran that contain personification figures of speech and news texts in the mass media that contain hyperbole figures of speech. It was found that these two things were in harmony with events, namely discussing the condition of a prolonged dry period.
Strategi Konten Pembelajaran Bahasa Arab Pada Instagram: Analisis Komparatif Akun Edukasi
Authors: Amalia Tauhidah Nadhilah , Arij Abiyyah Azhar
Published: October 2024

Media sosial telah menjadi salah satu alat penting dalam proses pembelajaran di era digital yang semakin maju. Salah satu media pembelajaran tersebut adalah dengan pemanfaatan media sosial yaitu instagram. Platform instagram telah banyak digunakan oleh masyarakat saat ini, baik yang berbasis lembaga maupun non lembaga sebagai media pembelajaran, khususnya dalam pembelajaran bahasa arab. Para kreator menuangkan inovasinya melalui konten-konten yang mereka buat pada platform instagram. Penelitian ini bertujuan untuk mengetahui serta meninjau strategi dan efektivitas dalam meningkatkan daya tarik pengguna instagram terhadap bahasa arab melalui konten yang dibagikan para kreator berdasarkan keterlibatan audiens (engagement rate). Penelitian ini menggunakan metode penelitian content analysis (analisis isi) dengan pendekatan kualitatif. Teknik yang digunakan adalah penggalian data berupa observasi dan dokumentasi. Dari hasil penelitian ini ditemukan tiga jenis materi, diantaranya ada mufrodat, uslub dan nahwu. Adapun dua jenis konsep konten, yaitu gambar animasi dan berbagai bentuk video. Jenis materi yang paling banyak diminati adalah mufrodat dan uslub. Sedangkan strategi konten pembelajaran yang paling unggul diantara tiga kreator terpilih adalah akun @marhaban.academy. Kesimpulan dari penelitian ini adalah strategi konten pembelajaran yaitu dengan memerhatikan 6 aspek (materi, bahasa, desain, sistematika dan konsistensi, pengoptimalan fitur aplikasi, dan responsif terhadap audiens)
Social media has become one of the important tools in the learning process in the increasingly advanced digital era. One of these learning media is the utilization of social media, namely Instagram. The Instagram platform has been widely used by the community today, both institutional and non-institutional based as a learning medium, especially in learning Arabic. The creators pour their innovations through the content they create on the Instagram platform. This study aims to determine and review the strategies and effectiveness in increasing the attractiveness of Instagram users to the Arabic language through content shared by creators based on audience engagement (engagement rate). This research uses the content analysis research method with a qualitative approach. The techniques used are data collection in the form of observation and documentation. The results of this study found three types of material, including mufrodat, uslub and nahwu. There are two types of content concepts, namely animated images and various forms of video. The most popular types of material are mufrodat and uslub. While the most superior learning content strategy among the three selected creators is the @marhaban.academy account. The conclusion of this research is that the learning content strategy is by paying attention to 6 aspects (material, language, design, systematics and consistency, optimization of application features, and responsiveness to the audience).
Pemahaman Guru Bahasa Arab terhadap Evaluasi Pembelajaran di SMA Islam Al Azhar 14 Semarang
Authors: Ridlo Akhmad , Sabila Rizqia Ana , Syihabuddin
Published: October 2024

Penelitian ini bertujuan untuk mengeksplorasi pemahaman guru Bahasa Arab terhadap evaluasi pembelajaran di SMA Islam Al Azhar 14 Semarang. Evaluasi adalah proses penting dalam pendidikan yang membantu mengukur efektivitas pembelajaran dan memberikan umpan balik untuk perbaikan. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi kasus. Subjek penelitian adalah guru Bahasa Arab yang dipilih berdasarkan kriteria tertentu seperti pengalaman mengajar dan keterlibatan aktif dalam evaluasi pembelajaran. Data dikumpulkan melalui wawancara mendalam dengan panduan semi-terstruktur. Hasil penelitian menunjukkan bahwa guru memahami evaluasi sebagai alat untuk mengukur hasil belajar siswa dan mengidentifikasi perkembangan mereka. Guru menggunakan berbagai metode evaluasi seperti tes tulis, tes lisan, praktik langsung, dan proyek, serta menghadapi tantangan dalam pelaksanaannya seperti kurangnya motivasi siswa dan hambatan teknis. Guru mengatasi tantangan ini dengan pendekatan yang menghibur dan relevan serta merasa perlu untuk mendapatkan pelatihan lebih lanjut mengenai evaluasi pembelajaran. Penggunaan teknologi dalam evaluasi juga dianggap membantu meningkatkan motivasi siswa. Secara keseluruhan, penelitian ini memberikan pemahaman mendalam tentang pentingnya evaluasi dalam pembelajaran Bahasa Arab dan peran vital guru dalam melaksanakannya.
This research aims to explore Arabic language teachers' understanding of learning evaluation at Al Azhar 14 Islamic High School Semarang. Evaluation is an important process in education that helps measure the effectiveness of learning and provides feedback for improvement. This research uses a qualitative approach with a case study method. The research subjects were Arabic language teachers who were selected based on certain criteria such as teaching experience and active involvement in learning evaluation. Data was collected through in-depth interviews with semi-structured guides. The research results show that teachers understand evaluation as a tool to measure student learning outcomes and identify their development. Teachers use various evaluation methods such as written tests, oral tests, direct practice, and projects, and face challenges in their implementation such as lack of student motivation and technical obstacles. Teachers overcome these challenges with an entertaining and relevant approach and feel the need to receive further training in learning evaluation. The use of technology in evaluation is also considered to help increase student motivation. Overall, this research provides an in-depth understanding of the importance of evaluation in Arabic language learning and the vital role of teachers in implementing it.
Tatbiq Namudhaj At-Ta'lim Al-Mudamaj 'Ala Minassah Alef Education Fi Ta'lim Al-Lughah Al-'Arabiyyah Bi Madrasat Al-Thānawiyah Al-Islamiyyah Al-Hukumiyyah 3 Bogor
Authors: Suryanto Candra , Nurrahma Safina
Published: October 2024

البحث يهدف إلى معرفة كيفية تطبيق نموذج التعلم المدمج باستخدام منصة Alef Education في تعليم اللغة العربية لطلاب الصف العاشر في مدرسة الثانوية الاسلامية الحكومية ٣ بوجور. هذه الدراسة هي دراسة وصفية نوعية. تم جمع البيانات في هذه الدراسة باستخدام دراسة المراجعة الببليوغرافية، وتم معالجة وتحليل البيانات باستخدام تحليل وصفي. تطبيق نموذج التعلم المدمج القائم على منصة Alef Education كان فعالًا جدًا في تحسين جودة تعلم الطلاب في اللغة العربية. منصة Alef Education سهلة الاستخدام، مما يدعم الأنشطة التعليمية سواء كانت وجهًا لوجه أو عن بُعد. بالإضافة إلى ذلك، تسهل منصة Alef Education أيضًا عمليات التقييم وإدارة الطلاب. المحتوى المثير والممتع والتفاعلي هذا متكامل مع منهج إندونيسيا، فإن استخدام نموذج التعلم المدمج القائم على منصة Alef Education يكون فعالًا لتحسين جودة تعلم الطلاب في اللغة العربية.
The research aims to understand how to implement the blended learning model using the Alef Education platform in teaching Arabic language to tenth-grade students at MAN 3 Bogor Islamic State High School. This study is a qualitative descriptive study. Data were collected through a bibliographic review study, and the data were processed and analyzed using descriptive analysis. The application of the blended learning model based on the Alef Education platform was highly effective in improving the quality of student learning in Arabic. The Alef Education platform is user-friendly, supporting both face-to-face and remote educational activities. Additionally, the Alef Education platform facilitates assessment and student management processes. This engaging and interactive content is integrated with the Indonesian curriculum, making the use of the blended learning model based on the Alef Education platform effective in enhancing student learning outcomes in Arabic.
Penelitian ini bertujuan untuk mengetahui bagaimana penerapan model pembelajaran blended learning menggunakan platform Alef Education dalam pembelajaran bahasa Arab pada siswa kelas sepuluh di MAN 3 Bogor. Penelitian ini merupakan penelitian deskriptif kualitatif. Data dikumpulkan melalui studi tinjauan pustaka, dan data diolah dan dianalisis menggunakan analisis deskriptif. Penerapan model pembelajaran blended learning berbasis platform Alef Education sangat efektif dalam meningkatkan kualitas pembelajaran bahasa Arab siswa. Platform Alef Education sangat mudah digunakan, mendukung kegiatan pembelajaran tatap muka dan jarak jauh. Selain itu, platform Alef Education juga memfasilitasi proses penilaian dan manajemen siswa. Konten yang menarik dan interaktif ini terintegrasi dengan kurikulum Indonesia, membuat penggunaan model pembelajaran campuran berdasarkan platform Alef Education menjadi efektif dalam meningkatkan hasil belajar siswa dalam bahasa Arab.
Tathwīru Istirātijiyyāt Mahārah Al-Kitābah Al-Imlāʾiyyah Ladā Athalabah fī Al-Maʿhad Al-Jāmiʿah Sūnān Gunūng Jātī Al-Islāmiyyah Al-Hukūmiyyah Bāndūng
Authors: Syahputra Idris
Published: October 2024

Menulis merupakan bagian integral dari keterampilan berbahasa. Sebagai salah satu komponen keterampilan linguistik, proses menulis atau mengarang dianggap sebagai suatu kegiatan yang kompleks. Kegiatan menulis merupakan salah satu bentuk komunikasi linguistik yang menggunakan bahasa sebagai medianya. Tulisan terdiri dari rangkaian huruf yang membentuk makna, dilengkapi dengan berbagai aspek seperti ortografi dan infleksi.  Keterampilan menulis atau menulis dalam bahasa Arab merupakan kemahiran akhir dari empat keterampilan berbahasa Arab, yaitu keterampilan mengingat, keterampilan berbicara, keterampilan membaca, dan keterampilan menulis. Keterampilan menulis merupakan keterampilan menulis dalam bahasa Arab yang sangat kompleks dan terbagi dalam tiga kategori: kaligrafi (kaligrafi), dikte (dikte), dan komposisi (komposisi).
Aspirin's Antiplatelet Effects Promote Arteriovenous Fistula Maturation in Hemodialysis Patients: A Systematic Review
Authors: Bunga Febrianto Elivas Haba , Jessica Nadia Dinda  , Evelyne Naftali Halim  , Maikel Triyudi Tappang
Published: October 2024

Background: Arteriovenous fistula (AVF) is the preferred vascular access for hemodialysis, offering superior long-term patency and lower infection rates compared to other options. However, AVF maturation remains a significant challenge. This systematic review aims to evaluate the efficacy of aspirin in promoting AVF maturation and preventing failure in hemodialysis patients.
Methods: A comprehensive search of electronic databases, including ScienceDirect, SpringerLink, PubMed, Cochrane, and ProQuest, was conducted from 2014 to 2024. Studies investigating the impact of aspirin on AVF maturation and failure were included. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed.
Results: Five studies met the inclusion criteria, encompassing a total of 982 participants. Four studies indicated that aspirin significantly enhanced AVF maturation by increasing flow volume and promoting the development of a robust fistula. However, one study found that aspirin did not significantly reduce the risk of thrombosis or AVF failure.
Conclusion: Aspirin appears to be a promising adjunct therapy for promoting AVF maturation in hemodialysis patients. Its antiplatelet effects, primarily through cyclooxygenase inhibition and reduced platelet activation, contribute to improved flow volume and fistula maturation. While the evidence for aspirin's role in preventing AVF failure is mixed, its potential benefits in enhancing maturation warrant further investigation.
Minimum Tillage and Soil Surface Cover Reduced Weed Density but Not Diversity Over Four Growing Cycles
Authors: Anyoni Otim Godfrey , Ekwangu Joseph , Tumwebaze Susan , Obia Alfred
Published: October 2024

This study investigated use of cultural practices to address weed challenges that present one of the highest costs to farmers. The parameters explored included the effects of tillage and soil cover practices on weed density and diversity, evaluated in a split plot experimental design. Increasing rainfall amounts significantly increased weed density and weed diversity. Minimum tillage significantly suppressed weeds with a density of 80/m2 compared to conventional tillage density of 124/m2. Soil cover practices similarly suppressed weed density (p<0.05) compared to sole crops without soil cover intervention. Maize with mulch had the lowest density (64/m2) followed by maize intercropped with one line of soybean between maize being more effective in weed suppression (92/m2 vs 113/m2). Sole maize and sole soybeans treatment both had a density of ~121/m2. Weed diversity, as measured by Shannon-Weiner index and Simpsons index were not statistically different across treatment (p>0.05). However, weed species count was higher in minimum tillage by 05% compared to conventional tillage, hence it calls for investment in minimum tillage and intercropping practices to allow a more diverse weed community that will be less competitive, less prone to dominance by highly adapted weeds, hence promoting ecological sustainability
The Impact of Mobile Money on Perception about Cash and Financial Inclusion: Micro-Level Evidence from Uganda
Authors: Simione Félix F. , Muehlschlegel Tara
Published: October 2024

The debate about the future of cash has recently intensified as technology innovations in the financial sector accelerate digital payments and the creation of new, digital forms of money. Several countries have embraced initiatives towards cashless or cash-light payments. In Sub-Saharan Africa (SSA), mobile money has dominated the list of digital payment innovations. These innovations hold the potential to alter individuals’ behaviour towards cash. Will mobile money render cash less dominant in Africa? Can it promote financial inclusion? We address these questions by exploring individual-level data for Uganda, a country in an African region that pioneered the mobile money revolution in the world. We use the Propensity Score Matching method to robustly compare mobile money users and non-users across various indicators that capture individuals’ perceptions about cash, and the extent to which they remit, save, and borrow money. We present the first evidence that mobile money users, compared to non-users, are more likely to perceive cash as risky and less likely to prefer carrying large amounts of cash. We also confirm that mobile money users are more likely to receive and send remittances, save, and borrow. They also save and borrow larger amounts. The estimation methodology used in the paper, robustness analysis, and a falsification test help reduce potential concerns about selection bias and reverse causality. Two implications emerge from the findings. First, the rapid expansion of fintech technologies in Africa is likely to reduce, although slowly, the demand for and usage of cash over time. Second, the expansion of fintech technologies could help promote financial inclusion in Africa
The Impact of Teaching Materials for Pupils with Mental Disorders in Public Primary Schools at Mvomero District Council, Tanzania
Authors: Mwaijande Euben , Ismail Joseph Hokororo
Published: October 2024

The study aimed to examine the impact of teaching materials for pupils with mental disorders in public primary schools. The study employed a mixed approach and a case study design, and the social cognitive theory was used as a guiding tool. A sample size of 20 respondents was drawn from 30 populations through purposive and simple sampling technique. The data collection methods were through interviews, observation and questionnaire. Descriptive statistical analysis and content analysis were used to analyze the collected data. The study revealed that, there is shortage of teaching materials like game puzzles, visual aids, audio visual, video visual and building blocks as indicated in selected four public primary school at Mvomero District Council, where each learner has different level of mental disorders. The study concludes that the government should provide a sufficient fund to these public primary schools so that pupils with mental disorders get better education services and conducive environment which will facilitate all teachers and pupils to improve teaching and learning process
Study on the effect of pitching on wave energy converter devices due to a spring constant of 980 N/M
Authors: Dimas Suharto  , Agung Dwi Prasetya  , Muhamad Fadhil Faali  , Abdul Hamid  , Subekti Subekti
Published: October 2024

Having enough energy is crucial to living a healthy and fulfilling life. Energy is necessary for many of the actions and tasks that individuals carry out regularly. To increase national resilience and enhance the welfare of its citizens, Indonesia is thought to be a good place to use renewable energy through the development of its natural resources. The Wave Energy Converter is one of the energy producers (WEC). The Wave Energy Converter is a machine that uses the up-and-down motion of a chain through a pontoon to drive the rotation of a solenoid in a generator to produce electrical energy. The component that produces energy is the vertical movement of waves. Thus, the impact of the spring constant on ocean waves is examined in this work. Both planetary and non-planetary approaches were used in this study. Based on the research objectives and the experimental results on the pitching motion performance of the Wave Energy Converter machine, it can be concluded that the power without planetary gear in the analysis of potential energy and sea data identification is 0.43 Volts, and the highest is 4.2 Volts. The RPM range is 78.18 RPM at the minimum and 91.45 RPM at the maximum. 0.021 amps is the minimum and 0.043 amps is the maximum current value. The power range for planetary gear potential energy analysis and sea data identification is 58.5 volts to 168.36 volts. The RPM range is 78.18 RPM at the minimum and 91.45 RPM at the maximum. 1.93 amps is the least current value, and 14.01 amps is the maximum
Application of DFMA in lock band service modification of ATB-I3 building machine
Authors: Revaldo Doni , Subekti Subekti
Published: October 2024

The locking mechanism on the band service, known as the lock band service, is used to move materials to the tire-making machine. A building machine is a device that assembles components into partially finished or green tires. The components are tread, which acts as the tire tread, band/ply, which are fabric sheets coated in rubber, and bead wire. Subsequently, the materials are put together on the drum-mounted construction machine. The ATB-I3 machine has the largest downtime owing to a band service fault, with 840 minutes in January 2024, and is the problem with the highest downtime in section A2. The cause of the excessive downtime in the band service is an issue with the band service lock system, namely the pneumatic movement lock mechanism on the band service component. As a result, adjustments must be made by altering the lock band service's design. After that, a weld joint strength analysis is performed to make sure the modification can be safely put into practice. To obtain the optimal modification design, the DFMA method is employed. With the use of the DFMA approach, the updated design—which had a design efficiency value of 4.23% to 4.31% before—was improved. The welding connection in the updated design is safe to use since, according to the results of the welding connection calculation, the lock band service holder has a maximum welding load of 294,645.08 N whereas the actual welding load is 147,928 N. The reduction in service band downtime was tested with this improvement. Following the implementation of the update in March 2024, the amount of downtime resulting from damage to the band service dropped by 445 minutes, or 52.97%, to 395 minutes
Comparative Analysis of Congestion Management Methods with Integrated Renewable Energy Generation
Authors: B. Dhabai Poonam , Tiwari Neeraj , Gupta Sunil Kumar
Published: October 2024

Inclusion of renewable energy in power grid at micro and macro level has imposed numerous challenges in the recent years. Occurrence and managing congestion in the power transmission line due to unpredictable and stochastic nature of Renewable Energy Source (RES) integration has become a challenging task to the grid operators. Transmission lines operate at bottlenecks during a congestion episode adding to the extra congestion cost and risk in grid stability which becomes burden to the generation as well as end users. Different methodologies are applied to detect and manage the congestion to eliminate the congestion cost factor and maintain grid stability. The presented analysis compares conventional methodology Linear Sensitivity Factors (LSF) and Heuristic methodology Particle Swarm Optimization (PSO) and Artificial Neural Network (ANN) methods for congestion management in power transmission lines with integrated RES (wind and solar) system. For comparative analysis, a modified standard IEEE 30 Bus system is chosen which is integrated with real time RES generation. Optimal locations of RES generation with minimized congestion cost and percentage of RES curtailment are chosen as objective function for comparison of the methodologies.
Brain Tumor Detection using Improved Binomial Thresholding Segmentation and Sparse Bayesian Extreme Learning Machine Classification
Authors: Reddi Prasadu , Srinivas Gorla , Reddy P.V.G.D. Prasad , Sai Nallagonda Harshitha
Published: October 2024

People are dying these days from numerous deadliest diseases. One such illness is brain tumour, in which the unusual cells within the tumour quickly begin to damage the brain's healthy cells. Owing to this rapid growth, a person may pass away before the disease receives a correct diagnosis. Early disease detection is essential for any disease to help save the patient by providing them with better care. In a similar vein, a patient's life depends on early brain tumour detection. Brain tumour detection is an extremely challenging procedure that we would like to simplify in order to save time. The proposed model facilitates the quicker and more accurate identification of abnormal brain cells, leading to the early detection of brain tumours. In this work, an improved binomial thresholding-based segmentation (IBTBS) is introduced for segmentation purpose. From this segmented image, information theoretic based, wavelet transform (WT) based, and wavelet scattering transform (WST) based features are extracted. An optimization-based feature selection approach (OBFSA) is incorporated between feature selection and tumour classification in order to reduce the dimension of this retrieved feature. Finally, classification is performed using the Sparse Bayesian extreme learning machine (SBELM) classifier. The execution process of this proposed methodology takes an MRI image from the free accessible source. By computing and detecting four different parameters, the experimental analysis of the proposed approach displays the accuracy, specificity, and sensitivity values. This model can assist us in quickly diagnosing brain tumours, potentially saving the lives of patients.
Optimal Control Strategy for Power Management Control of an Independent Photovoltaic, Wind Turbine, Battery System with Diesel Generator
Authors: Abbas Ahmed K. , Asal Raad Ahmed , A. Aboud Gusoon , Mashhadany Yousif Al , Smadi Takialddin Al
Published: October 2024

The need for a greater supply of energy from sustainable sources is growing because of increasing energy prices, concerns about nuclear power, climate change, and power grid disruptions. This research offers a method for the balance of power management of a combination of multi-source DC and AC supplier systems that enables sources of clean energy based on an independent grid to function economically and with the highest levels of system predictability and stability possible. The DC microgrid's hybrid generation source consists of a diesel power source, wind, photovoltaic (PV) power, and a battery bank. The energy system can fulfill the load demand for electricity at any moment by connecting various renewable sources. It can function both off and on the grid. The microgrid may occasionally not be able to provide sufficient electricity, while every green energy source's electricity contribution is based on how its supply varies and how much power is needed to meet demand. As a result, a diesel generator is required as additional backup power, particularly while operating off-grid. This paper designs and implements an MPPT technique for a PV system based on the GWO algorithm. By creating PWM pulses in response to variations in the PV panel voltage, this method modifies the converter's duty cycle, while wind turbines using MPPT based on P&O, to get the most out of hybrid energy sources that are renewable while simultaneously enhancing the quality of power. The priority sources of electricity for the grid are photovoltaics and wind power. Based on the results of simulations and experiments, the proposed control method for DC, which uses the MPPT approach, can dynamically switch between all of the system's various modes of operation, independent of the battery's condition or environment, ensuring safe operation and constant bus voltage. An analysis was conducted on the suggested system's performance. It has been noted that compared to the conventional approaches, the suggested GWO-based MPPT methodology is quicker and produces fewer MPP oscillations. It offers a more effective reaction to quickly shifting atmospheric conditions. Results of simulation for the recommended control scheme with MATLAB/Simulink.
Editorial: Artificial Intelligence in Education - Navigating Ethical, Legal, and Technological Frontiers
Authors: Silva Altieres de Oliveira , Janes Diego dos Santos
Published: October 2024

This editorial explores the intricate landscape of Artificial Intelligence (AI) in education, encompassing its legal, ethical, and technological dimensions. Recent scholarly contributions highlight both the transformative potential and the challenges of integrating AI into educational environments, with a focus on enhancing learning experiences, improving administrative efficiencies, and navigating complex ethical terrains. This volume brings together 14 articles that examine AI’s multifaceted role, ranging from legal implications, integration in startups, and human-computer interaction, to sectoral practices in education, agriculture, and human resources. The contributions underscore the need for a robust, inclusive, and sustainable AI adoption strategy, aligned with global ethical standards and responsive to societal needs.
Editorial: Embracing the Ethical and Transformative Role of AI in Education
Authors: Silva Altieres de Oliveira , Janes Diego dos Santos , Santos Renan
Published: October 2024

This editorial addresses the growing integration of artificial intelligence (AI) in education, highlighting the advancements, ethical challenges, and legal implications associated with this technology. The articles in this edition of the Review of Artificial Intelligence in Education provide a comprehensive analysis of how AI is transforming higher education, enhancing the quality of learning, and addressing issues related to academic integrity and ethics. The editorial explores themes such as the use of chatbots, AI platforms for assessment, the need for ethical governance in the application of AI in scientific research, and the development of robust legal frameworks to ensure the responsible use of these technologies in educational environments.
Editorial da Revista Jurídica da OAB/SC, Volume 1 (2021)
Authors: Revista Juridica OAB-SC Editorial
Published: October 2024

A Revista Jurídica da OAB/SC é uma publicação voltada para a disseminação de pesquisas jurídicas, abrangendo diversos ramos do Direito e contribuindo para o debate acadêmico e profissional. Nesta edição, a revista trouxe uma diversidade de artigos que exploram temas como a responsabilidade penal de pessoas jurídicas, o instituto da guarda compartilhada, a desconsideração da personalidade jurídica na lei das estatais, entre outros. A revista busca fomentar a reflexão crítica e o desenvolvimento do conhecimento jurídico, promovendo discussões relevantes para o aprimoramento das práticas jurídicas no Brasil. A publicação segue rigorosos critérios editoriais e conta com a participação de renomados autores e especialistas da área.
Comparision of Exercise Induced Alteration of Hematological Profile in Sedentary Post Pubertal Boys and Girls
Authors: Palanisamy Manivannan , Vinodha R  , Shanmugapriya C
Published: October 2024

Background: Moderate intensified exercise causes leukocytosis due to increased trafficking of white blood cellsand also causes red blood cells damage (RBC) and hemolysis due to osmotic and mechanical stress.Aim: This study was aimed to investigate the exercise induced changes in the haematological profile in sedentarypost pubertal boys and girlsMethodology: 40 participants (20boys, 20 girls) with sedentary behaviour in the age group of 16 to 25 wereselected from outpatient department of Thanjavur Medical College, for this study. Participants were asked to runin treadmill at the speed of 3km per hour at 0% elevations for few minutes then progressive incremental treadmillrunning with change in speed 1km per hour and elevations(1%) alternatively after each 2 mins for 20 mins.Informed consent was taken from the participants.This study was approved by human ethics Committee Thanjavur Medical College, Thanjavur.Blood samples collected from sedentary post pubertal boys and girls before and immediately after exercise to assessthe hematological variation in Hemoglobin (Hb), White blood cells (wbc), Red blood cells (Rbc) and differentialcount, and the results were statistically analysed using paired t –test.Results: Post exercise Hb was significantly higher in post pubertal girls (10.69±1.20 g%) as compared to boys(12.3±1.94 g%); p=0.029, p≤0.05. Also post exercise RBC showed significance with p value of 0.016 (p≤0.05) ingirls (4.20 ± 0.47 million/cumm) as compared to boys (4.67 ±0.70 million/cumm, p=0.261, p≥0.05). Leukocytecount, lymphocyte, neutrophil increased significantly in both groups following exercise. Eosinophils increasedsignificantly in girls (3.20±1.15(%), (p=0.024, p≤0.05)) as compared to boys (3.20±0.95(%), (p=0.886, p≥0.05).Conclusion: We conclude that post exercise Hb, RBC, Eosinophil showed significant rise in females as compared tomales. Leukocytes, neutrophils and lymphocytes showed significance in both genders. Genders have insignificantimpact on exercise induced alteration of hematological profile except Hb, RBC and Eosinophils.
Two Palaearctic species of Orthonevra (Diptera: Syrphidae) under the name O. brevicornis
Authors: ŻÓRALSKI Robert , VAN DE MEUTTER Frank , Mengual Ximo , GADAWSKI Piotr
Published: October 2024

During studying European material of Orthonevra Macquart, 1829 the presence of two widespread species so far interpreted as Orthonevra brevicornis (Loew, 1843) has been discovered. One species occurs from Central Europe into Transcaucasia and agrees with the taxon O. brevicornis of Loew (1843). The second species, O. atlantica Żóralski & Van de Meutter sp. nov., has its main distribution range in the Atlantic parts of Europe and is described here. We provide a redescription of O. brevicornis and designate a neotype from the type locality (Poland, Posen [= Poznań] vicinity). The most important characters for distinguishing males of these two closely related species are in the structures of the terminalia. A diagnosis and identification key to European black-legged Orthonevra species is given as well as new sequences of the cytochrome c oxidase subunit I (COI) of mitochondrial DNA (mtDNA), also known as DNA barcodes, for most of the species of this group. Some new information and changes to the known ranges of Orthonevra species are provided as a result of this revisionary work: O. frontalis (Loew, 1843) is removed from the list of species occurring in Poland; O. gemmula Violovitsh, 1979 is confirmed from Hungary; O. incisa (Loew, 1843) is confirmed from its locus typicus (Poland, Posen vicinity); and O. montana Vujić, 1999 is reported from Poland and Austria for the first time and confirmed for Germany. An explanation for some previous records published as O. plumbago (Loew, 1840) is also given.