bluuebunny/crossref_metadata_2025 huggingface dataset:
A Comparative Study of Machine Learning Models for Predicting Customer Churn in Retail Banking: Insights from Logistic Regression, Random Forest, GBM, and SVM
Authors: Md Parvez Ahmed  , Md Arif  , Abdullah Al Mamun  , Fuad Mahmud  , Tauhedur Rahman  , Md Jamil Ahmmed  , Sanjida Nowshin Mou  , Roy Pinky Akter , Muhammad Shoyaibur Rahman Chowdhury  , Md Kafil Uddin
Published: August 2024

Customer churn poses a significant challenge in the retail banking sector, leading to substantial financial losses and undermining long-term growth. This study explores the effectiveness of various machine learning models, including Logistic Regression, Random Forest, Gradient Boosting Machine (GBM), and Support Vector Machine (SVM), in predicting customer churn. Utilizing a comprehensive dataset derived from a leading bank, we conducted extensive data preprocessing and feature engineering before evaluating model performance through metrics such as accuracy, precision, recall, F1-score, and AUC-ROC. Our findings reveal that the Gradient Boosting Machine outperforms its counterparts, achieving an accuracy of 87.2%, with an AUC-ROC score of 0.91, indicating its exceptional ability to distinguish between churned and non-churned customers. Random Forest follows closely, exhibiting robust performance, while SVM and Logistic Regression demonstrate moderate accuracy levels. This research underscores the transformative potential of machine learning in enhancing customer retention strategies within the banking industry. By identifying at-risk customers and understanding the underlying factors contributing to churn, banks can implement targeted interventions to improve customer satisfaction and loyalty. The study further suggests avenues for future research, including the exploration of real-time data analysis and the integration of qualitative customer insights, to refine predictive models and retention strategies.
Assessing the Reality of Crimes in Jordanian Society: A Review Study on Jordanian Society from 2018-2022
Authors: Alabbadi Salah Aldeen Abdullah
Published: August 2024

The study aims to identify the reality of crime in Jordan during the period from 2018 to 2022 and analyze its impact on Jordanian society. The study relied on a review of the literature and available data to identify the levels of crime and its development in Jordan, recorded in the statistical reports issued by the Directorate of Public Security/Criminal Information Department for the years 2018-2022. The study relies on identifying the social and economic impacts of these crimes on society through evaluation and analysis of the reality of crime in Jordan, especially since it is an important topic that requires a comprehensive study. The objectives of this study are to understand the current situation in order to analyze its impact on Jordanian society. It depends on the available literature, through which it is possible to delve into the patterns of crimes recorded during that period within crime classifications such as violence, theft, fraud, drug trafficking, and others. Therefore, the reality of the development of these crimes develops over the course of the four years within many trends and factors that determine responsibility for the changes. crime rates affect the social and economic reality of crimes in Jordanian society, including the effects of many fears about insecurity, weak confidence in the security services, and the impact on the financial situation instability.
Sistem Rekomendasi Al-Quran Berbasis Topik
Authors: Putriando Zakia , Edy Sutanto Taufik
Published: August 2024

Penelitian ini bertujuan untuk mengatasi tantangan kesehatan mental remaja Indonesia, yang merupakan salah satu hambatan dalam mencapai visi "Indonesia Emas" pada tahun 2045, di mana negara diharapkan memasuki masa bonus demografi dengan mayoritas penduduk di usia produktif. Data Kementerian Kesehatan (2023) menunjukkan bahwa 6.1% penduduk usia 15 tahun ke atas mengalami gangguan kesehatan mental, menandakan kebutuhan mendesak untuk intervensi yang efektif. Penelitian ini mengembangkan sistem rekomendasi ayat-ayat Al-Quran, menggunakan konsep similarity dan kategorisasi ayat (topik) berdasarkan Dewan Syariah Nasional MUI. Penelitian ini menyediakan rekomendasi yang akurat dan relevan untuk membantu penggunanya untuk mendapatkan solusi masalah kesehatan mental yang Islami. Evaluasi sistem menunjukkan bahwa mayoritas rekomendasi yang dihasilkan sesuai dengan pandangan para ahli, menandakan keefektifan sistem dalam menyediakan referensi yang jelas dan akurat. Penelitian ini tidak hanya memberikan wawasan baru dalam pengembangan solusi berbasis teks religius untuk isu kesehatan mental, tetapi juga berkontribusi pada upaya lebih luas dalam menghadapi tantangan sosial dan kesehatan yang dihadapi Indonesia.
Supervised Machine Learning Model untuk Prediksi Penyakit Hepatitis
Authors: Putra Andriyan Dwi , Nurani Dwi , Dewi Melany Mustika , Rahmi Alfie Nur , Supriatin
Published: August 2024

Hepatitis menjadi salah satu penyakit mematikan yang diakibatkan karena peradangan yang terjadi pada organ hati manusia. Hepatitis seringkali disebabkan karena infeksi virus dan gaya hidup yang tidak sehat. Hepatitis bahkan bisa menular apabila dikaitkan dengan infeksi dari adanya virus tertentu. Hepatitis perlu dideteksi secara dini dan diantisipasi sedini mungkin sehingga tidak mengakibatkan adanya penyakit komplikasi yang lebih serius yang bahkan dapat mengakibatkan terjadinya kematian. Perkembangan teknologi informasi dan komunikasi yang terus berkembang hingga saat ini memungkinkan penyakit hepatitis untuk dapat dikenali dan diprediksi. Salah satunya menggunakan teknologi pembelajaran mesin. Pada penelitian ini, metode supervised learning yang menerapkan algoritma Naïve Bayes dan KNearest Neighbor digunakan untuk memprediksi adanya penyakit hepatitis. Dengan menggunakan dataset yang diunduh secara langsung dari halaman website UCI Machine Learning Repository, Naïve Bayes menghasilkan nilai akurasi sebesar 91.67% dengan nilai presisi dan recall mencapai 95%, Sedangkan penggunaan K-Nearest Neighbor menghasilkan nilai akurasi sebesar 95.8%, dengan adanya perbedaan nilai presisi dan recall sebesar 1%, menunjukkan bahwa penggunaan pervised machine learning model berdasarkan algoritma Naïve Bayes dan K-Nearest Neighbor memiliki potensi untuk digunakan dalam pengembangan berbagai sistem terutama untuk prediksi penyakit hepatitis.
Pendekatan Transfer Learning Untuk Klasifikasi Tangisan Bayi Dengan Imbalance Dataset
Authors: Rochadiani Theresia Herlina
Published: August 2024

Klasifikasi tangisan bayi dapat dimanfaatkan untuk mengidentifikasi masalah kesehatan bayi dan memenuhi kebutuhan bayi dengan cepat. Dalam studi ini, teknik transfer learning, dengan model terlatih YAMNet, diterapkan untuk klasifikasi bayi dengan dataset terbatas dan tidak seimbang. YAMNet, sebuah model Convolutional Neural Network khusus untuk analisis audio, mengatasi keterbatasan metode tradisional yang bergantung pada interpretasi manusia.  Dengan mempelajari fitur-fitur audio secara otomatis, memungkinkan kinerja klasifikasi yang lebih akurat. Dalam studi ini, dilakukan eksplorasi dan analisis manfaat penggunaan YAMNet, melalui perbandingan dengan model baseline tanpa teknik transfer learning. Hasilnya menunjukkan bahwa model YAMNet tidak hanya nilai akurasinya yang tinggi 0.8106, namun juga nilai skor-F1nya tinggi yaitu mencapai 0.9831. Terbukti bahwa penggunaan transfer learning dapat meningkatkan kinerja dalam klasifikasi tangisan bayi, terutama dalam mengatasi ketidakseimbangan data dan meningkatkan prediksi untuk kelas minoritas.
The Effect of the Problem-Based Learning Model on 21st Century Student Skills: A Meta-Analysis
Authors: Sisrayanti  , Maksum Hasan , Waskito  , Sabrina Elsa
Published: August 2024

This study aims to investigate the impact of Problem Based Learning (PBL) on the development of 4C skills (Critical Thinking, Creativity, Collaboration, Communication) among students. Through meta-analysis, data from 20 national and international journal articles published between 2018 and 2023 were analyzed. Findings indicate that the consistent use of PBL yields a highly significant effect, with an average effect size of 1.72. These results affirm the effectiveness of PBL in enhancing students' 4C skills, underscoring the importance of this instructional approach in the context of 21st-century education, which emphasizes critical thinking, creativity, collaboration, and communication skills. The practical implications of this study highlight the necessity of integrating PBL models in instructional design to facilitate the development of 21st-century skills among students. Further research could delve into specific aspects of PBL usage and its impacts on student learning outcomes and academic achievement.
A Review of Bitcoin Price Prediction Based on Deep Learning Algorithms
Authors: Tayib Hanaa , M.  Abdulazeez Adnan
Published: August 2024

This study provides a comprehensive analysis of the existing body of work on predicting the price of Bitcoin using deep learning techniques. It discusses the fundamental concepts behind deep learning and Bitcoin, including recurrent neural networks, convolutional neural networks, and long short-term memory networks. The study also examines the data sources used in training these models, including historical Blockchain transaction data, social media sentiments, and Bitcoin prices. The report also highlights the importance of metrics like mean absolute error, mean squared error, and root mean squared error for evaluating the effectiveness of various models. It also discusses future research topics, such as incorporating external factors into prediction models. The article offers valuable insights for academics, practitioners, and policymakers interested in cryptocurrency prediction.
Optimal Sizing and Comparative Analysis of Renewable Energy Integration for the Existing Microgrid System in Kadan Island
Authors: Htun Khin Thandar , Swe Wunna
Published: August 2024

The rapid depletion of fossil fuels and the necessity for reduced carbon emissions have led to an increased focus on renewable energy resources. The existing microgrid system comprises solely a diesel generator and a small portion of hydropower. Currently, Kadan Island relies mainly on diesel generators to supply power, resulting in a significantly higher cost of energy in comparison to other areas. Furthermore, there is still not enough electricity available on the entire island of Kadan. However, research has shown that integrating renewable-based systems with storage technologies into existing systems can help mitigate these issues. Therefore, the main objective of this paper is to investigate the optimal size and operation of a hybrid renewable system on the Myanmar Islands. The optimization process will focus on minimizing the net present cost (NPC) and cost of energy (COE) of the selected location. Additionally, the island's network will be analyzed under normal operating conditions with different scenarios, and the best scenario for the existing microgrid on Kadan Island will be recommended.
A
Authors: Munawarah Nadila , Ikhwan Ali
Published: August 2024

Mesin penggiling jagung adalah mesin pembakaran yang digunakan untuk menggerakkan baling-baling yang berfungsi untuk merontokkan biji-biji jagung dari tongkolnya, sehingga pelepasan biji jagung dari tongkolnya menjadi sangat cepat dan efisien waktu. Hal ini sangat membantu para petani jagung dan juga pemilik kilang jagung agar mempercepat proses menuju pabrik pengolahan. Namun, pada proses perontokan jagung dari bongkolnya seringkali mengalami kerusakan mesin, sehingga perlu dilakukan proses pendeteksian kerusakan mesin penggiling jagung dengan sistem pakar menggunakan metode Certainty Factor agar dapat membantu petani dengan cepat memahami kerusakan apa yag sedang terjadi pada mesin tanpa harus membawa mesin atau memanggil seorang ahli perbaikan mesin, dimana sistem yang dibuat juga dapat memberi solusi terkait kerusakan mesin penggiling jagung.
Aplikasi POS Berbasis Web Terintegrasi Dengan Whatsapp Pada Fuku Petshop
Authors: Hanggaraxsha Irwan , Gunawan Dedi
Published: August 2024

Aplikasi Point Of Sale (POS) merupakan sebuah layanan yang diciptakan untuk menyederhanakan proses aktivitas bisnis bagi para pengusaha. Setiap transaksi, baik penjualan maupun pembelian, penting untuk dicatat guna memastikan akurasi laporan transaksi. Namun, di Fuku Petshop, metode pencatatan masih menggunakan buku transaksi konvensional, yang rentan terhadap kehilangan data dan ketidakakuratan. Fuku Petshop, sebuah toko yang berlokasi di Madiun, merasa perlu untuk mengadopsi sistem POS yang terkomputerisasi untuk memantau transaksi penjualan, pembelian, dan stok barang dengan lebih efisien. Selain itu, integrasi dengan aplikasi WhatsApp juga menjadi bagian dari tujuan sistem ini. Dalam pengembangan sistem POS, memanfaatkan bahasa pemrograman PHP serta database MySQL, dengan mempergunakan kerangka kerja CodeIgniter. Pendekatan pengembangan yang diadopsi adalah metode waterfall. Untuk menjamin kualitas sistem yang sedang dikembangkan, pengujian dilakukan dengan menerapkan teknik black box dan juga menggunakan metode System Usability Scale (SUS). Hasil dari pengujian dengan teknik black box menyatakan bahwa aplikasi POS di Fuku Petshop berjalan dengan baik dan untuk pengujian SUS menyatakan nilai rata-rata sebesar 81, yang menunjukkan kualifikasi Excellent dan masuk dalam klasifikasi Acceptable, menandakan kesiapan sistem untuk digunakan.
Design Optimization Of PV And WTE Integration In Electricity Supply System For Mandalay Urban Area
Authors: Oo Hay Man , Swe Wunna
Published: August 2024

Hybrid energy systems, which combine two or more energy systems, arebecoming increasingly popular due to the rise in petroleum productprices, growing CO2 emission awareness, and advancements in renewableenergy technologies. These systems are being adopted to meet the energyand electricity demands of decentralized networks. In Myanmar, someareas still face significant challenges in accessing grid-based electricitysupply. In such cases, the hybrid renewable microgrid systems offer abetter alternative by reducing dependency on diesel fuel and meetingenergy demands in an environmentally friendly manner. To enhance thereliability of these hybrid systems, renewable sources can be integratedwith diesel generators and utility grid. This integration allows hybridsystems to compensate for the intermittent nature of renewable energysources and achieve higher overall energy efficiency. One of the mainadvantages of hybrid systems is their potential for energy autonomy, asthey are not reliant on a single energy source. This paper introduces anovel approach for designing a grid connected hybrid system thatincorporates photovoltaic, and biomass especially the municipal solidwaste. The Hybrid optimization model for electrical renewable (HOMER)is a powerful optimization model that simplifies the evaluation of off-gridand grid-connected power system designs for various applications. In thispaper, the grid connected hybrid renewable energy system is designedand analyze for Mandalay region.
Regulation of Network Condensation Based on Fitness Ordered Access Strategy
Authors: Xu Dongpeng
Published: August 2024

The condensation in complex networks disclose the underlying mechanism of the monopoly in socioeconomic system, which can help us to design and access the anti-monopoly policy based on the study on network condensation. Inspired by the consideration, We introduce a set of rearrangement mechanism into the fitness model to regulate the order of nodes with different fitness to enter the network, and study the influence of this regulation strategy on network condensation. By extensive Monte Carlo simulations and finite size scaling analysis, we obtain the critical rearrangement index under a typical fitness distribution, establish the relationship between the index and the condensation intensity, and finally construct the condensation phase diagram. These results show that there exists an interval of the critical rearrangement index, outside which the condensation of the fitness model will be effectively suppressed. We carry out a theoretical analysis on some key results to understand their underlying origin, and discuss their instructive significance on the anti-monopoly market management.
Finite Element Analysis of Spur Gear Set in Noodles-making Machine Using Different Materials and Face Widths
Authors: Thin Po Po , Win Htay Htay , Soe Aung Kyaw , Latt Aung Ko
Published: August 2024

This paper focuses on the design and structural analysis of a spur gear set for a noodles-making machine by changing three different materials (ASTM A 536, ASTM A 220, and AISI 1020) and gear face widths. Gear corrosion occurs at contact points as a result of bending stress and contact stress. This is the major source of the gear failure of the noodles-making machine. Pitch diameters of 50mm and modules of 5mm spur gears are selected in the design of the roller gear set. In theoretical analysis, the AGMA contact stress equation was used based on the Hertzian theory. The minimum von Mises stress and effective strain are found on AISI 1020 carbon steel by using ANSYS 17.0 software. In this paper, von Mises stress and effective strain are analyzed by changing the face widths of spur gear set to 8mm, 10mm, 12mm, 14 mm, and 16mm and using finite element analysis (FEA). Although all face widths are safe for this design, 12mm is chosen in this paper due to power consumption and strength points of view.
THE WAYANG GOLEK PERFORMANCE AS ONE OF THE VARIETY OF THE ARTISTS OF THE PUP THAT ARE AVAILABLE ON THE ISLAND OF JAVA
Authors: Fauzi Ratna Puspita , Bahari Nooryan
Published: August 2024

The Indonesian nation has diverse cultural and ethnic backgrounds. One form of cultural diversity that exists is wayang. The islands of Java and Bali have become places for the development of traditional wayang arts. The UN oversees an institution called UNESCO as an institution that focuses on issues regarding education, culture and science, which then records wayang as a work of cultural art in the international world. By giving this award, the Indonesian people should protect and preserve wayang.This study aims to examine, identify, and know the meaning of cultural traditions and symbols contained in wayang golek performances and their influence on the surrounding community and daily activities. In this study, the method used is the observation method, by collecting data from various sources of journals and the internet, while in analyzing using the phenomenological method.From the research that has been done, it is found that the wayang golek show contains teachings and good values conveyed by a dalang with his characteristics so that the messages to be conveyed can be easily accepted by the public watching the wayang performance. Wayang shows have an impact on several aspects including social, political, economic, and religious aspects.Keywords: Wayang Golek, Symbol, Value
PITHECANTHROPUS ERECTUS BATIK FOR HAUTE COUTURE CLOTHES: A BLEND OF PRIMITIVE AND MODERN STYLES
Authors: Hermawati Dwi Puji
Published: August 2024

ABSTRACTThe source of the idea for the creation of this final project is the discovery of the Pithecanthropus Erectus fossil which is enshrined in the Song Terus Pacitan museum, this discovery is one of the earliest evidences of human evolution in prehistoric times. Phitechanthropus Erectus is an ancient human species that lived 1.9 million years ago. The characteristics of ancient humans, Phitechanthropus Erectus, had a more robust body than their predecessors. The purpose of making this work is to 1. Create a written batik motif design with the source idea of Pithecanthropus Erectus with a blend of primitive and modern styles 2. Create a haute couture fashion design with a source of batik ideas from pithecanthropus erectus combining primitive and modern styles 3. Apply the Pithecanthropus written batik motif Erectus into Haute Couture fashion design. The method in creating this work uses the principle of 3 stages, namely Exploration, Design and Realization. The final work produced is in the form of 5 Haute couture clothing with abstract coloring techniques on batik motifs. The finished batik cloth is combined with brocade and toyyobo fabrics which are applied to haute couture clothing. The motif title for this work is "Primi Hominis" which comes from the Greek language which means the First Man. The resulting work consists of 5 batik consisting of 5 batik motif designs, namely (1) Pusering jagat Batik Motif Design (2) Pawonan Batik Motif Design (3) Hanguripi Batik Motif Design (4) Riba mburu Batik Motif Design (5) Batik Motif Design ancient stone, which has the main motif of pithechanthropus erectus and 5 Haute couture clothing, namely (1) Spelaiotai (2) Synergasia (3) Agrotikos (4) Dimiourgikos (5) Kainotomos. This batik will be mixed and matched with haute couture clothing. In every haute couture fashion has a different form.
بناء وتقنين مقياس الأداء الوظيفي لمسؤولي الشعب في النشاط الرياضي والكشفي في محافظة ذي قار من وجهة نظر مدرسي ومعلمي التربية البدنية وعلوم الرياضة
Authors: Asst. Lec. Lamia Yahya Atwan  , Prof. Dr. Amer Saeed Al-Khikani
Published: August 2024

الملخص
تجسدت مشكلة البحث بالتفاوت الكبير في الاداء الوظيفي لمسؤولي شعب النشاط الرياضي والكشفي ، وعدم معرفة مستوى هذه الادارات بشكل دقيق من خلال بناء وتقنين مقياس للأداء الإداري خاص بهذه الفئة من المؤسسات وذلك للمساهمة في ضبط وتنظيم عملها الإداري للارتقاء بالمستوى العام للنشاط الرياضي نحو الافضل، ومما يبرز أهمية دراسة الاداء الوظيفي على انها علم هو ان العمل الإداري بطبيعته لا ينفصل عن مضمونه الفني للحصول على الكفاءة الإدارية العالية للعاملين في مجال الرياضة ،اما هدفا البحث فقد تمحورا في بناء مقياس الاداء الاداري لدى مسؤولي الشعب في النشاط الرياضي والكشفي وجهة نظر مدرسي ومعلمي التربية البدنية وعلوم الرياضة ، و معرفة مستوى الاداء الاداري لديهم ، وتم استخدام المنهج الوصفي بالأسلوب المسحي لأنه الأكثر ملاءمةً لطبيعة المشكلة وتحقيق أهداف البحث ، ومن اهم الاستنتاجات يتمتع مسؤولي شعب النشاط الرياضي والكشفي في محافظة ذي قار بمقادير جيدة من الأداء الوظيفي من وجهة نظر مدرسي ومعلمي التربية البدنية وعلوم الرياضة.
دراسة حول فاعلية التعزيز التفاضلي لدى لاعبي نفط الجنوب بكرة القدم
Authors: Asst. Lec. Muhammad Shahid Natash
Published: August 2024

الملخص
تمثلت أهمية البحث في دراسة التعزيز التفاضلي وفاعليته في تطوير الأداء الخططي للاعبين نفط الجنوب، وإن أساليب التعزيز ركائز هامة في إرساء وتعزيز الصحة النفسية في الواقع التدريبي. ومن خلال المتابعة تبين أن أغلب المدربين بعيدين عن أسلوب التعزيز التفاضلي وقلة اهتمامهم به حيث يقوم التعزيز بإثارة دافعية اللاعب نحو تحقيق الهدف المطلوب منه ودفعه الى بذل مجهود أكبر خلال المباريات وبالخصوص الأداء الخططي المهم وذو تأثير فعال في المباراة والذي يتطلب من المدربين التركيز عليه وتطويره فهو أحد العوامل التي تنجح الفريق معتمدة على مدى قدرة اللاعبين بما يمتلكون من قدرات على ربط المهارات في عمل خططي حاسم. اما عن اهداف البحث فقد كانت في بناء وتطبيق مقياس التعزيز التفاضلي للاعبي نفط الجنوب في محافظة البصرة كذلك التعرف على مستويات مقياس التعزيز التفاضلي للاعبين. وقد استخدم الباحث المنهج الوصفي ذا الأسلوب المسحي لملائمته لطبيعة ومشكلة البحث وقد أوصى الباحث بضرورة التأكيد على الحالة النفسية الإيجابية للاعبين والعمل على خلق المناخ المناسب لتطور هذه الحالة بما يخدم الأداء, كذلك ضرورة العمل على تأهيل المدربين من خلال فتح دورات تدريبية في الجوانب الفنية والإدارية والنفسية فضلا عن الجوانب الخططية والتدريبية لكي يكونوا قادرين على تدريب الفريق بكل نجاح.
التحليل التصنيفي لبعض القدرات البدنية والحركية والقياسات الجسمية لتوجيه الطلاب بفعاليات الرمي بالعاب القوى
Authors: م.م محمود عدنان محمود گعيد
Published: August 2024

ملخص البحث
تشهد  السنوات الأخيرة فرص كبيرة للتطور في ما تتطلبه كل فعالية او لعبة من الألعاب بصورة عامة و العاب القوى على وجه الخصوص والتي هي كباقي الألعاب التي تعد الاختبار والقياس من الأسس المهمة التي يجب الاعتماد عليها التوجيه للوصول بالفرد الى المستوى العالي نتيجة البحث المتواصل والمنظم واختصار الوقت والجهد، من هنا تجسدت مشكلة هذه الدراسة , اِذ لاحظ الباحث إن اْغلب المنافسات بفعاليات الدفع والرمي تتمثل من خلال لاعب واحد وهذه ظاهرة يجب الوقوف عندها , لْان لكل فعالية قدرات حركية وبدنية   و قياسات جسمية خاصة بها, ولهذا تكمن أهمية الدراسة في  توجيه  الطلاب لكل فعالية من فعاليات المبحوثة ( ثقل , قرص , رمح )  لهذه اللعبة عن طريق لذا ارتأى الباحث ان يقوم ببناء أنموذج تقويمي تحليلي ( بروفايل ) من خلال التحليل التصنيفي لعينة البحث لكي يستطيع من خلالها تسليط الضوء على بعض القدرات البيو حركية الملائمة لكل فعالية و معرفة مدى انسجامها مع متطلبات الفعالية  وكذلك الكشف عن التركيب الجسمي الخاص بكل لاعب من خلال تصنيف الاعبين والانتقاء العلمي  و التوجيه الموضوعي المدروس, اذ يتم توجيه الطلاب على وفق قياساتهم الجسمية والقدرات البدنية والحركية لهم  يتم الرجوع اليه في اختيار الطلاب الأكثر ملائمة لكل فعالية من الفعاليات
تأثير استخدام التعليم المدمج وفق التعليم الالكتروني، وبعض الوسائط المتعددة في تطوير بعض المهارات الهجومية بكرة القدم لطلاب المدارس الثانوية
Authors: Lec. Dr. Hazem Nouri Katea
Published: August 2024

الملخص
تهدف الدراسة إلى التعرف على اثر استخدام التعليم المدمج وفق التعليم الالكتروني والتطبيق العملي في تطوير بعض المهارات الهجومية والدفاعية بكرة القدم لطلاب المدارس الثانوية, والتعرف على تأثير البرنامج التعليمي في تطوير بعض المهارات الهجومية والدفاعية بكرة القدم لطلاب المدارس الثانوية استخدم الباحث المنهج التجريبي للعينات المترابطة للمجموعة الواحدة لملائمتها  لطبيعة الدراسة, وكان مجتمع البحث طلاب المدارس الثانوية , واشتملت عينة البحث على 12 طالب من طلاب الصف الخامس الثانوي تم اختيارهم بالطريقة العشوائية, وتم استخدام مجموعة من الاختبارات المهارية المقننة منها واخرى مصممة من قبل الباحث, ثم إجراء التجارب الاستطلاعية ووضع الاسس العلمية للاختبارات, ثم تم اجراء الاختبارات القبلية, والبرنامج التعليمي المعد من قبل الباحث, والاختبارات البعدية, واستخراج النتائج بالوسائل الإحصائية, ومناقشة النتائج وتحليلها, ثم توصل الباحث الى مجموعة من الاستنتاجات والتوصيات التي تخدم الدراسة.
KYIV LINGUISTIC SLAVISTICS OF THE FIRST QUARTER OF THE XXI st CENTURY: GENERAL OVERVIEW
Authors:   Educational and Scientific Institute of Philology Taras Shevchenko National University of Kyiv, DANYLENKO Liudmyla
Published: August 2024

Ahead of the 17th International Congress of Slavists in Paris in 2025, this article offers a general overview of the directions of scientific research in the first quarter of the 21st century by linguists-slavists of Kyiv, where leading academic and university Slavic centers are concentrated. From the perspective of terminology, linguistic Slavistics includes studies of the languages of Western and Southern Slavs, both separately and in a comparative plan, as well as against the broad background of Slavic linguistics. A brief overview of key works, mainly monographic, lexicographic, and linguistic didactic, is proposed. It is noted that linguists-slavists continue to research Slavic languages in comparative-historical, taxonomic, and communicative-functional paradigms, developing the ideas of leading Ukrainian Slavists of the 20th century and the first quarter of the 21st century — O. S. Melnychuk, V. M. Rusanivskyi, V. G. Sklyarenko, G. P. Pivtorak, O. B. Tkachenko, T. B. Lukinova, A. P. Nepokupny and others. The works of scholars are dedicated to theoretical and practical problems of semantics, etymology, dialectology, onomastics, ethnolinguistics, etc. Among the latest directions within which current issues of Western and Southern Slavic languages are researched are studies in linguocognitology, linguistic pragmatics, and linguofuturology. Attention is drawn to the prospects of Ukrainian linguistic Slavistics, which at the present stage is the work of enthusiasts devoted to their domain. The problem, among other things, is related to the training of personnel in universities, where study hours in the main linguistic and literary disciplines are reduced, interest in postgraduate studies diminishes, and economic difficulties have a negative impact.
The effects of hope and spirituality on the work‐group mentality in the Chilean miners catastrophe
Authors: Sanfuentes Matías
Published: August 2024

This article analyses the role that hope and spirituality play in enhancing the capacity of work teams and organisations to face extreme contexts of crisis and disasters. The study utilises Bion’s concept of sophisticated work‐group mentality to examine how these phenomena can contribute to the generation of new capabilities within the group to address the dilemmas and challenges that emerge in times of crisis. It addresses an iconic case of catastrophe–the case of the Chilean miners rescued in 2010 after surviving entrapment for almost seventy days–in order to analyse the relationships that unfold within and around the hopeful endurance of disaster. This article empirically examines the constructive dimension of basic assumptions mentalities, contrary to the predominant view in the socio‐analytic field that emphasises the regressive and disabling nature these phenomena have on the achievement of the group’s task. For this purpose, the concept of work‐group pairing (French & Simpson, 2010) is used to show the productive nature of hope on the group members’ psychic functioning. Thus, this article contributes original insights on the role of hope in the psychosocial construction of pathways for organisational recovery and resilience during and after a crisis.
The hostile container: A metalogue
Authors: Ringer Martin , Martin Fiona
Published: August 2024

This article explores what we call “the hostile container” and how it influences the capacity of a writer to think about and write about ideas. The hostile container is an intrapsychic space that diminishes the capacity to think and write. The notion of the hostile container emerges from the idea that the process of thinking–and hence of writing–is largely an unconscious dialogue between two parts of the dual self (Meares, 1992; Ringer, 2022). We refer to one part of the dual self as the “declaring part” and the other as the “receiving part”. The “declaring” part is “heard” by the “receiving” part. If the receiving part is a hostile internal object, the dialogue is severely impeded because the declaring part will avoid being attacked. We develop this core concept to help to understand intrapsychic processes that both enhance and impede the ability to write. This article is presented in the form of a “metalogue” (Bateson, 1972) between the authors. Following in the footsteps of Gregory Bateson???s idea of metalogue, the article that follows is a condensed version of many conversations between Fiona Martin and Martin Ringer as they jointly explored the notion of a hostile container within the experience of authoring. The authors’ intent in presenting this material in the form of a metalogue is to provoke associations in the reader rather than to postulate firm ideas. We invite you to follow your own associations as you read through this and we hope that this process evokes new thoughts for you. We invite you to share your thoughts with us, the authors.
Brightest Cluster Galaxy Offsets in Cold Dark Matter
Authors: Roche Cian , McDonald Michael , Borrow Josh , Vogelsberger Mark , Shen Xuejian , Springel Volker , Hernquist Lars , Pakmor Ruediger , Bose Sownak , Kannan Rahul
Published: August 2024

The distribution of offsets between the brightest cluster galaxies of galaxy clusters and the centroid of their dark matter distributions is a promising probe of the underlying dark matter physics. In particular, since this distribution is sensitive to the shape of the potential in galaxy cluster cores, it constitutes a test of dark matter self-interaction on the largest mass scales in the universe. We examine these offsets in three suites of modern cosmological simulations; IllustrisTNG, MillenniumTNG and BAHAMAS. For clusters above , we examine the dependence of the offset distribution on gravitational softening length, the method used to identify centroids, redshift, mass, baryonic physics, and establish the stability of our results with respect to various nuisance parameter choices. We find that offsets are overwhelmingly measured to be smaller than the minimum converged length scale in each simulation, with a median offset of in the highest resolution simulation considered, TNG300-1, which uses a gravitational softening length of . We also find that centroids identified via source extraction on smoothed dark matter and stellar particle data are consistent with the potential minimum, but that observationally relevant methods sensitive to cluster strong gravitational lensing scales, or those using the the “light traces mass” approach, in this context meaning gas is used as a tracer for the potential, can overestimate offsets by factors of ∼10 and ∼30, respectively. This has the potential to reduce tensions with existing offset measurements which have served as evidence for a nonzero dark matter self-interaction cross section.
Assessment of Phytochemical Constituents, Antimicrobial Activity, Impurity and Heavy Metal Content of Gynura nepalensis
Authors: Nirzana Sayma Akter , Oishi Jannatun Noor , Chowdhury Jakir Ahmed , Rahman Tasnia , Zaman Tasnuva Sharmin , Nisu Rifat Ara , Suma Sabnam Roy , Chowdhury Abu Asad , Kabir Shaila , Amran Md Shah
Published: August 2024

This study explores the multifaceted area of herbal medicine, focusing on Gynura nepalensis, a medicinal plant. The qualitative analyses confirmed the presence of alkaloids, glycosides, phenols, tannins, flavonoids, protein-amino acids, saponins, and carbohydrates. Terpenoids and resin were apparently missing. The antimicrobial activity of the plant extract was assessed and it revealed dose-dependent efficacy against microbial growth. Additionally, the study scrutinized the total ash content, suggesting a moderate level of impurity, and evaluated the heavy metal concentration, finding it well below acceptable limits. Overall, the findings establish the promising role of Gynura nepalensis in natural medicine, urging further investigations and potential applications in integrated healthcare.
Bangladesh Pharmaceutical Journal 27(2): 193-200, 2024 (July)
Analisis Pengaruh Keterampilan Proses Sains terhadap Hasil Bbelajar Fisika pada mahaisiswa pendidikan Fisika FKIP Uniersitas Khairun
Authors: Sambiri Usman , Saputra Aji , Isra Hutri Handayani
Published: August 2024

Penelitian ini bertujuan untuk mengetahui hubungan antara keterampilan proses sains dengan hasil belajar fisika calon guru fisika. Jenis penelitian yang digunakan adalah penelitian survei yang bersifat korelasional dengan populasi adalah seluruh mahasiswa S-1 Prodi Pendidikan Fisika yang mengikuti kuliah elektronika dasar 1 yang berjumlah 12 mahasiswa. Analisis data yang digunakan adalah analisis inferensial dengan menggunakan analisis korelasi Rank Spearman. Instrumen penelitian terdiri dari 1) tes KPS, dan 2) tes hasil belajar. Hasil analisis deskriptif diperoleh skor rata-rata KPS adalah 34,08 sedangkan skor rata-rata hasil belajar mahasiswa adalah 59,95. Hasil analisis inferensial diperoleh nilai . Nilai tersebut lebih besar dari nilai  (0.59) sig 2 dengan taraf siginikan 5%. Data tersebut menunjukan bahwa terdapat hubungan korelasi antara KPS dan hasil belajar. Kekuatan korelasinya adalah positif yang cukup kuat. Oleh karena itu dapat disimpulkan bahwa terdapat hubungan positif yang cukup kuat antara KPS dan hasil belajar fisika pada materi elektronika dasar 2. Kata kunci: Keterampilan proses sains, Hasil belajar fisika
Application of the XGBoost Model with Hyperparameter Tuning for Industry Classification for Job Applicants
Authors: Syahputra Akhmal Angga , Saputro Rujianto Eko
Published: August 2024

The development of technology and changes in job market dynamics have created new challenges in aligning education with industry needs. In this research, the XGBoost model with hyperparameter tuning was applied for industry classification on job applicant data taken from the Kaggle dataset LinkedIn Job Postings in 2023. This dataset consists of 23 attributes with a total of 33,085 job vacancy data points. The experimental results show that both the model without hyperparameter tuning and with GridSearchCV produce the same classification accuracy, which is 0.89 or 89%, with stable precision, recall, and F1-Score values. The best parameters found in this study are colsample_bytree = 1.0, learning_rate = 0.3, max_depth = 6, min_child_weight = 1, n_estimators = 100, and subsample = 1.0. However, cross-validation using k-fold shows a significant increase in accuracy to 0.90, or 90%. This finding confirms that the use of cross-validation can improve the performance estimation of the model more accurately and robustly by utilizing all available data for training and testing. Moreover, the implementation of cross-validation demonstrates the importance of leveraging all data points to enhance model reliability and robustness. Future research can explore alternative hyperparameter tuning methods and apply the model to larger datasets to further validate the generalizability and reliability of the XGBoost model in different application contexts. Thus, this study underscores the significance of rigorous model evaluation techniques in achieving high-performing machine learning models
Sentiment Analysis Of Indonesian State Army Police Neutrality Sentiment Towards The 2024 Election On X Using The Support Vector Machine Algorithm
Authors: Yudha Muhammad Yudha Pratama , R Rakhmat  Kurniawan
Published: August 2024

The accompanying goals are created: One method for figuring out the order of feeling examination in the balance of military police towards the 2024 political decision depends on popular assessment in SVM technique in arranging opinion investigation in the balance of military police towards the 2024 races in light of 2024 general assessment in X. In a leading examination, the stages utilized are the exploration system. This was finished to coordinate the exploration stages. The technique of this examination is quantitative. An exploration area is where a specialist completes research, particularly in catching peculiarities or examination that really happens at the exploration area to get precise and genuine examination information. The consequences of the testing did were to decide the capacity of the framework that had been made to complete feeling investigation on opinion towards the lack of bias of the TNI and Polri during the political race Research begins with compiling, specifically determining the points to be discussed. The subject of this research is the execution of message mining in testing the balance of military police feelings towards the 2024 political decisions in X using the Help vector machine1 algorithm. Tweet Information Collection,In this review, scientists utilized 800 tweet information.. The consequences of the opinion examination did will be introduced as a disarray framework, where through the disarray network and characterization report the degree of exactness of the exploration that has been completed can be determined.It is trusted that the aftereffects of this assessment can give a thorough image of the public's discernment on Twitter with respect to the lack of bias of the TNI and Polri in sorting out races.
Real-Time Monitoring of Photovoltaic Panel Using Node-RED
Authors: Raziah Isyatur , Novandri Andri , Away Yuwaldi
Published: August 2024

This research aims to design and implement an Internet of Things (IoT)-based monitoring system for Photovoltaic (PV) panels using Node-RED. The system can monitor critical parameters such as voltage, current, power, and the electrical energy produced by the PV panels in real-time. The data obtained from the PV panels is sent to a Node-RED server and visualized in the form of indicators and graphs on a dashboard. Statistical analysis calculates the daily average power and total energy produced. The results show that the proposed system can enhance monitoring efficiency and significantly benefit PV system maintenance and management. Users can quickly identify and address issues that may arise, such as panel performance degradation or system disruptions. Energy analysis and maintenance planning can be carried out by collecting historical data. This research supports the broader renewable energy development and provides an effective real-time PV system monitoring solution.
PENERAPAN MODEL WATERFALL DALAM MERANCANG APLIKASI PEMILIHAN SISWA TELADAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING
Authors: Hidayatun Nunung , Murtina Hidayanti , Susafa’ati Susafa’ati
Published: August 2024

By having exemplary students, it is hoped that students at school will have good role models in all aspects.  Unfortunately, subjective selection because it is done using voting can lead to unhealthy competition. So far, the selection of exemplary students begins with the selection of students with the highest average scores, then looks at the student's activity and record of violations which culminates in a vote carried out in the exemplary student selection meeting. Voting at the end of the election can cause the selection of exemplary students to no longer be objective and no longer fair. The application design will use the waterfall method by implementing the SAW method as a method used to help make decisions. The criteria used are 7 criteria in accordance with school policy and the results of this analysis, first the system is able to record all students who will be alternative exemplary students and also the criteria set in accordance with school policy. Second, by implementing a decision support system using CBIS, it can minimize the objectivity and complexity of stakeholders in making decisions and can increase data accuracy. Third, based on the management using this decision support application, an alternative ranking of exemplary students was obtained with the first alternative position being Siska Azzahra Shafa with a total score of 19,790, the second alternative being Andrawan Erlang Padana with a total score of 19,654 and the third being Ichsan Sandi with a total score of 19,645.
LAMIACEAE FAMİLYASININ TÜY MORFOLOJİSİ
Authors: Kaya Ayla
Published: August 2024

Amaç: Lamiaceae familyası hem dünya da hem de ülkemizde zengin bir tür çeşitliliğine sahiptir. Familya üyeleri taşıdıkları uçucu yağlardan dolayı tıbbi ve ekonomik açıdan son derece önemli olup, bitkilerin gövde, yaprak, kaliks gibi çeşitli organlarında farklı tüy tiplerine rastlanmaktadır. Bitkilerin taksonomik olarak ayrımında da kullanılan tüy yapılarının derlenmesi bu çalışmanın amacını oluşturmuştur.
Sonuç ve Tartışma: Lamiaceae familyasında yer alan bitkilerin tüy morfolojileri çok sayıda kaynaktan yararlanılarak incelenmiştir. Elde ettiğimiz veriler ışığında familyanın tüyleri; örtü tüyleri, salgı tüyleri ve karışık tüyler olmak üzere 3 ana gruba ayrılmaktadır. Bunlarda kendi aralarında basit, dallanmış, kısa ve uzun örtü tüyleri, kapitat ve peltat salgı tüyleri ile dallanmış ve yıldız tipi karışık tüyler olmak üzere alt gruplara ayrılabilirler. Çalışmamızın sonucunda Lamiaceae familyası bitkilerinin 39 farklı tüy tipi belirlenmiş ve tüy tipleri kaynaklardan elde edilen çizim, ışık mikroskobu ve taramalı elektron mikroskobu (SEM) görüntüleriyle desteklenmiştir. Familyadaki tüy morfolojilerinin özellikle bitkilerin taksonomisinde kullanılan önemli bir karakter olduğu görülmüştür.
Diet and size at birth affect larval rockfish condition and survival
Authors: Walsh KA , Thompson AR , Kwan GT , Semmens BX , Fennie HW , Swalethorp R
Published: August 2024

Feeding success and maternal effects on larval size have long been hypothesized to be important contributors to interannual recruitment variability in marine fishes. This study examined the feeding ecology and influences of diet and size at birth on length and growth of larval rockfishes (Sebastes spp.). Prey carbon biomass and selection were calculated from gut contents, size at birth was estimated using otolith core size, and recent growth was derived from outer otolith increment widths. Biomass contributions of preferred prey and otolith data were integrated into Bayesian hierarchical models predicting length and growth. Larvae primarily fed on and selected for copepod nauplii and calanoid copepodites, modulating feeding with ontogeny and in response to prey availability. Based on carbon weight, the relative contribution of calanoid copepodites to the diet was more strongly and positively correlated with length and growth than that of nauplii. Younger larvae experienced faster growth in association with calanoid copepodite consumption than older larvae. Positive effects of core radius suggest that initial larval size, believed to be mediated by maternal provisioning, increases the likelihood of survival, larger size, and faster growth. These findings ultimately provide evidence that selective feeding and size at birth mediate rockfish survival in early life stages.
CHEMISTRY IN NANOMATERIALS OF HIGHWAYS
Authors:   National Transport University, Nataliya Berezina , Melnik Nataliya ,   National Transport University, Parkhomenko Nelly ,   National Transport University
Published: August 2024

Summary: The article presents a variety of building materials, structures and products obtained using nanotechnology, which have improved physical and mechanical characteristics compared to traditional ones: they have greater strength, wear resistance, plasticity, heat resistance, and have significantly higher flash resistance. They are lighter in weight, more rational and safer to use and more durable. The use of nanotechnologies and nanomaterials is becoming more widespread in various spheres of human life. With unique properties, they are used for industrial and consumer applications, and their various types have found their place in many sectors: agriculture, energy, aerospace, cosmetics, food, medicine, construction, transportation, electronics, etc. But at the same time, it creates new risks and increases the impact on the environment. This effect is not visible to the eye, but it is noticeable for human health and the environment. It is necessary to properly use all safety measures and take care of the state of the atmosphere, water, soils and people during production, application, processing, packaging, construction work, transportation, storage, repair or demolition. This is provided by individual means of protection, ventilation systems, and dust collection during storage, construction, demolition, and waste disposal. One of the promising areas of environmental protection and cleaning is the bioutilization of nanoparticles by microorganisms and plants due to their battery capacity. Key words: Nanomaterials, nanotechnologies, road construction, environmental protection, emissions.