bluuebunny/crossref_metadata_2025 huggingface dataset:
Sentiment Analysis on Skincare Product Reviews Using Lexicon-Based and Comparison of SVM Kernel
Authors: Lestari Lutfiana Sinta , Sutrisno Tri , Lewenusa Irvan
Published: December 2024

The skincare industry has seen remarkable growth in recent years, fueled by increasing public awareness of skincare and beauty. As awareness of the importance of skincare grows, skincare products are becoming more popular. The skincare brands available on the market today are diverse. However, not all skincare products offer the same quality, and some are more suitable for specific skin types or concerns, depending on the ingredients used and product formulation. To help consumers understand skincare reviews, this study conducts sentiment analysis on skincare products, identifying whether reviews tend to be positive, negative, or neutral. The sentiment analysis utilizes a lexicon-based approach with comparisons of various SVM kernels, including linear, polynomial, RBF, and sigmoid. Additionally, this research applies the Term Frequency-Inverse Document Frequency (TF-IDF) for word weighting. The study results indicate that the best performance was achieved with the Sigmoid and Linear kernels when no oversampling technique was applied. The results for the linear kernel without balancing achieved 81.83% accuracy, 77.46% precision, 81.83% recall, and 79.53% F1 score. Meanwhile, the Sigmoid kernel yielded 81.83% accuracy, 77.39% precision, 81.83% recall, and 79.53% F1-score.
Göçün yansımaları: Türkiye’de erken çocukluk dönemindeki gelişim yetersizliği olan veya tipik gelişim gösteren mülteci çocuklar
Authors: Demir Büşra , Talaş Güllü , Gürgör Kılıç Fidan Güneş
Published: December 2024

Göç ile tipik gelişim gösteren veya gelişim yetersizliği olan çocukların yaşamında birçok yönden değişiklik meydana gelmektedir. Türkiye, son dönemde ülkesinden göç eden insanlar için önemli bir ülke haline gelmiştir. Türkiye’ye göç eden insanlar arasında erken çocukluk döneminde yer alan çocuklar yüksek orandadır. Erken çocukluk dönemi, çocukların gelişimleri açısından önemli bir dönemdir. Bu dönemdeki çocuklar, göç ile yeni geldikleri ülkelerde birçok problem ile karşılaşmaktadır. Çocukların gelişimlerini etkileyen risklerini ortadan kaldırmak için erken müdahale programlarının uygulanması oldukça önemlidir. Bu araştırma, sığınmacı, mülteci, göçmen gibi kavramların açıklanması, erken çocukluk dönemindeki tipik gelişim gösteren veya gelişim yetersizliği olan çocuklar hakkında bilgi verilmesi, bu çocuklara uygulanan erken müdahale programlarının tanıtılması ve Türkiye alanyazınında erken çocukluk dönemindeki mülteci çocuklara ilişkin araştırmaların ortaya konulması ve tartışılması amacıyla gerçekleştirilmiştir. Araştırma sonucunda, erken müdahale programlarının ve konu ile ilgili araştırmaların sınırlı olduğu görülmektedir.
Metaverse ve Metaverse’ün Eğitim Ortamlarına Yansımaları
Authors: Büyükkarabacak Nurcihan , Balyer Aydın
Published: December 2024

Metaverse kişinin benliğini temsil eden bir avatar aracılığıyla günlük aktivitelerin ve ekonomik yaşamın sürdürüldüğü 3D sanal bir dünyadır. Bu çalışma metaverse kavramını ve metaverse ortamlarının eğitim ortamlarına yansımalarını açıklamak amacıyla literatür tarama doküman analizi yöntemi kullanılarak gerçekleştirilmiştir. Elde edilen sonuçlar, Metaverse ortamlarının etkileşimli ve bireyselleştirilmiş eğitim deneyimlerine olanak sağladığını ve çevrim içi ortamda öğrencinin uygulamalı eğitim alabilme potansiyeline sahip olduğunu göstermektedir. Bununla birlikte, metaverse ile eğitim ortamlarının pedagojik formasyona sahip mühendisler ve eğitim teknologları tarafından tasarlanması ve planlanırken Metaverse’ün yedi katmanının dikkate alınması gerekmektedir. Sonuç olarak, Metaverse'ün eğitime büyük katkısının olabileceği ancak dikkatli bir planlamanın olması gerektiği ortaya çıkmıştır.
Baby Elephant Facts
Authors: Frey Erzsebet
Published: December 2024

Peek into the adorable world of baby elephants: from fuzzy hair to clumsy trunks, these gentle giants start small but…
TAFSIR KRITIS TERHADAP RUT 1:1-22
Authors: Simatupang Jhonnedy Kolang Nauli , Romi Romi
Published: December 2024

Penelitian ini bertujuan untuk menganalisis bagaimana loyalitas Rut dalam Kitab Rut mencerminkan komitmen spiritual yang mendalam dan relevansinya sebagai model pengabdian kepada Tuhan di tengah tantangan sosial dan budaya. Sebagai sosok Moab yang menghadapi stigma sosial, kesetiaan Rut kepada Naomi dan Tuhan Israel memperlihatkan pengabdian yang melampaui batas etnis dan tradisi. Metode yang digunakan adalah kualitatif dengan pendekatan kritik teks untuk menganalisis teks Kitab Rut. Teknik pengumpulan data dilakukan melalui studi pustaka yang mencakup teks Alkitab, tafsir, dan artikel akademis terkait. Analisis data melibatkan kritik teks untuk menafsirkan makna simbolik, penggunaan bahasa, dan konteks historis dalam narasi Rut. Hasil penelitian menunjukkan bahwa loyalitas Rut menampilkan khesed atau kasih setia, yang bukan hanya komitmen spiritual kepada Tuhan tetapi juga pengabdian yang nyata kepada komunitas dan orang-orang di sekitarnya. Model pengabdian Rut ini relevan bagi masyarakat modern yang menghadapi tantangan keberagaman dan toleransi. Temuan ini memperkaya pemahaman tentang hubungan antara komitmen spiritual dan pengaruh sosial dalam konteks keagamaan.
MEMBANGUN TEOLOGI LOKAL
Authors: Larosa Setiaman
Published: December 2024

Penelitian ini berangkat dari kebutuhan untuk memahami potensi Tari Moyo sebagai media akulturasi nilai-nilai Kristiani dalam konteks budaya masyarakat Nias. Tari Moyo, dengan elemen budaya seperti gerakan, syair lagu, busana, alat musik, dan cerita rakyat, mencerminkan nilai-nilai universal yang relevan dengan ajaran Injil. Penelitian ini bertujuan untuk memaknai elemen-elemen tersebut dalam terang teologi kontekstual. Metode yang digunakan adalah studi pustaka, dengan teknik pengumpulan data melalui kajian literatur dari buku, artikel jurnal, dan dokumen yang relevan. Data dianalisis menggunakan pendekatan hermeneutika kontekstual, khususnya model antropologis dari Stephen B. Bevans. Hasil penelitian menunjukkan bahwa elemen budaya dalam Tari Moyo dapat diintegrasikan dengan nilai-nilai Kristiani seperti kasih, pengorbanan, keberanian, dan sukacita, menciptakan harmoni antara iman dan budaya lokal. Temuan ini memperkuat pentingnya teologi kontekstual dalam membangun spiritualitas yang relevan dan autentik.
A novel approach for wear assessment of plastic gears using image processing
Authors: Elkasrawi Mahmoud G. , Elsiedy Marah A. , Hegazi Hesham A.
Published: December 2024

Plastic gears offer numerous advantages, poised to increasingly supplant metal gears across various applications. Notably, they boast silent operation, resistance to corrosion, and lightweight properties which make them ideal for wind turbine systems. Moreover, the expanding array of plastic materials, including eco-plastics and their natural fibre composites, underscores the imperative for ongoing research into plastic gears and their composites. Addressing existing challenges is pivotal to fully harnessing their potential in sustainable development efforts. The wear of plastic gears is an important factor in plastic gear design and optimization. This paper primarily examines wear assessment in polypropylene (PP) gears by proposing and implementing a novel approach to measure the amount of wear on gear tooth profile using an image processing technique. By subjecting plastic gears to wear experimentation and employing direct image processing methods, the percentage of damage can be accurately evaluated. These percentages were 0.2% and 2.5% for 2 and 5 hours respectively. This underscores the boundless possibilities of integrating image processing techniques into the assessment of plastic gears, paving the way for deeper exploration and optimization of polymer materials for plastic gear manufacturing.
Preparation of cuttlefish ink-porphyrin nanoconjugates and its application in photodynamic-photothermal synergistic treatment of tumor cells
Authors: Wang Wei , Zhang Yuting , Li Yan , Huang Yuzi , Xiao Shuzhang , Huang Wenquan , Geng Peng
Published: December 2024

Biologically derived nanomaterials have gained increasing attention in tumor diagnosis and treatment due to their inherent biocompatibility. In this study, a nanoconjugate of cuttlefish ink (M, extracted from cuttlefish ink sacs) and meso-tetra (4-carboxyphenyl) porphyrin (TCPP), termed M-TCPP, was synthesized. The nanoparticle size of M-TCPP was approximately 120 nm, and it could be activated by a 660 nm light to induce the generation of reactive oxygen species (ROS) via TCPP for photodynamic therapy (PDT) of tumor cells. Additionally, when triggered by an 808 nm light (near-infrared light), the cuttlefish ink component efficiently converted light into heat for photothermal therapy (PTT) of tumor cells. Compared to standalone PDT or PTT, the synergistic combination of PDT-PTT resulted in significantly enhanced tumor cell destruction. Moreover, in vitro experiments demonstrated that M-TCPP exhibited no noticeable toxic side effects. The research offers some inspiration for the development of natural multifunctional biomaterials and their use in tumor therapy.
Giant Geometry: In the Footsteps of the Nasca
Authors: Heilig Steven J.
Published: December 2024

This project, based on the ancient geoglyphs of the Nasca culture, offers students engagement with construction techniques, the chance to think creatively, and a sense of satisfaction when they master the ideas behind construction.
“Who Wants Pancakes?”
Authors: Flynn Michael , O’Brien Abigail , Lau Edmond
Published: December 2024

From the Archives highlights articles from NCTM’s legacy journals, previously discussed during MTLT Teacher Talk.
Islamic Education and Sustainable Development: Bridging Faith and Global Goals
Authors: Mufid Fathul , Nugraha Agus Rahmat , Shobaruddin Dudin
Published: December 2024

This study explores the intersection of Islamic education and sustainable development, examining how Islamic principles and teachings can contribute to achieving the United Nations Sustainable Development Goals (SDGs). Using a qualitative approach and a literature review methodology, this research investigates key Islamic concepts that align with sustainability, such as justice (adl), stewardship (khalifah), and community welfare (maslahah). The study critically reviews the role of Islamic education in promoting environmental responsibility, social equity, and economic development, drawing on a range of scholarly sources and Islamic texts. It identifies how educational frameworks rooted in Islamic values can foster holistic approaches to sustainable development that emphasize ethical behavior, the preservation of natural resources, and the well-being of future generations. By bridging the gap between faith and global goals, the research highlights the potential of Islamic education to inspire moral and practical action toward achieving the SDGs. The findings suggest that Islamic educational institutions and curricula must evolve to integrate sustainability into their teaching, ensuring that future generations are equipped with the knowledge, values, and skills to address the pressing challenges of environmental degradation, poverty, and inequality. Ultimately, this study advocates for a more inclusive and value-driven approach to sustainable development, where faith-based perspectives play a vital role in shaping responsible citizens and global stewards.
The Role of Social Media Algorithms in Shaping Public Opinion During Political Campaigns
Authors: Hasibuan Effiati Juliana , Putra Alifiansyah Deto Rahmana , Dirgantari Annisagita Sungga
Published: December 2024

This study examines the role of social media algorithms in shaping public opinion during political campaigns through a qualitative, literature review-based approach. Utilizing library research, the study analyzes existing academic and policy-oriented literature to explore how algorithms on platforms like Facebook, Twitter, and YouTube influence users' political views and engagement. The research highlights how these algorithms prioritize content based on user behavior, often creating echo chambers and filter bubbles that reinforce pre-existing beliefs. It also addresses the phenomenon of algorithmic bias, where certain political viewpoints are amplified while others are marginalized, affecting democratic discourse. Additionally, the study explores the ethical implications of algorithmic curation in relation to transparency and accountability, especially in the context of misinformation and political manipulation. By conducting a comparative analysis of various case studies from recent elections, the study identifies common patterns in algorithmic influence across different platforms and regions. The findings reveal that while social media algorithms play a significant role in shaping public opinion, their impact is complex and often controversial, depending on the platform's design and the socio-political context. The study concludes by calling for greater transparency in algorithmic processes and regulatory reforms to mitigate the risks of political manipulation and ensure a more balanced digital public sphere.
Creative Leadership of Educational Institution Administrators in the Digital Era of Educational Institutions under the Nakhon Ratchasima Primary Educational Service Area Office 3
Authors: Wunnasathian Rungratta , Mansaraneeyatham Suvijuk
Published: December 2024

Background and Aims: In the era of globalization where technology is developing rapidly. Educational institution administrators need to use technology and innovation in management to increase efficiency and results of educational institutions. Therefore, technological leadership is an important skill that executives should have. This research aims to (1) study the technological leadership of school administrators in the digital era in Nakhon Ratchasima Primary Educational Service Area Office 3. (2) compare the technological leadership of administrators according to age, position, and work experience. (3) Study guidelines for developing executives' technological leadership. This research includes an assessment of the current status. comparison and developing approaches to improve technological leadership. This is important in developing the quality of education in the digital age.
Methodology: The sample for this research consisted of 331 school administrators and teachers who were randomly assigned according to Krejci and Morgan's tables. The research instrument was a 5-level rating scale questionnaire with a consistency index between 0.80 - 1.00 and the reliability of the entire questionnaire was 0.87. Data analysis used statistics: frequency, percentage, mean, and standard deviation. T-value and F-value tests.
Results: The results of the research found that (1) the technological leadership of school administrators in the digital era in Nakhon Ratchasima Primary Educational Service Area 3 was overall at a high level. (2) The results of comparing the technological leadership of executives by position found that there was a statistical significant difference at the .05 level, but when classified by age and work experience, it was found that there was no difference. (3) Guidelines for developing technological leadership for school administrators in the digital era consist of 5 areas: supporting equality and citizenship; Vision planning capacity building system design and continuous learning.
Conclusion: According to the study, school administrators in Nakhon Ratchasima Primary Educational Service Area 3 generally have high levels of technological leadership. In order to improve their technological leadership, they should prioritize developing their vision planning capacity, creating support systems, encouraging continuous learning, and promoting equality.
การพัฒนาเครือข่ายการส่งเสริมสุขภาพของผู้สูงอายุ อำเภอพระพุทธบาท จังหวัดสระบุรี
Authors: บุญเขียว คมกริช , สารพร รตยา
Published: December 2024

ภูมิหลังและวัตถุประสงค์: การที่สังคมไทยได้เปลี่ยนแปลงเข้าสู่สังคมผุ้สูงอายุ ทำให้ทุกภาคส่วนจะต้องให้ความสำคัญกับการพัฒนากิจกรรมรวมทั้งการสร้างเครือข่ายให้ผู้สูงอายุได้ทำกิจกรรมร่วมกัน การศึกษานี้จึงมีวัตถุประสงค์ เพื่อศึกษาการสร้างเครือข่ายการส่งเสริมสุขภาพของผู้สูงอายุ อำเภอพระพุทธบาท จังหวัดสระบุรี จังหวัดสระบุรี
ระเบียบวิธีการวิจัย: การวิจัยครั้งนี้ใช้การวิจัยเชิงปฏิบัติการแบบมีส่วนร่วม (PAR) กลุ่มตัวอย่างที่ใช้ในการศึกษา คือ ผู้สูงอายุที่อาศัยอยู่ในเขตเทศบาลเมืองพระพุทธบาท อำเภอพระพุทธบาทจำนวน 98 คน ใช้วิธีการเลือกแบบเจาะจง และ ผู้ให้ข้อมูลสำคัญ (key informants) จำนวน 15 คน สำหรับการจัดประชุมกลุ่มย่อย ได้แก่ ประธานและกรรมการกลุ่มชมรมผู้สูงอายุอำเภอพระพุทธบาท จำนวน 5 คน ผู้นำชุมชน จำนวน 5 คน อสม. จำนวน 5 คน อสม.
ผลการวิจัย: พบว่า เครือข่ายการส่งเสริมสุขภาพของผู้สูงอายุ อำเภอพระพุทธบาท จังหวัดสระบุรี เป็นเครือข่ายที่เกิดจากการวมกลุ่มของสมาชิกได้แก่ ข้าราชการเกษียณ นักธุรกิจในชุมชน และเกษตรกร ซึ่งได้รวมกลุ่มการทำกิจกรรมร่วมกันจากนั้นจึงได้มีการขยายเครือข่ายไปยังหน่วยงานภาครัฐในพื้นที่ ส่วนปัจจัยสำคัญของการพัฒนาเครือประกอบด้วย ปัจจัยภายในได้แก่ การบริหารชมรมที่เข็มแข็ง มีการกำหนดกฎระเบียบที่ชัดเจน ส่วนปัจจัยภายนอก ได้แก่ มีหน่วยงานทั้งจากภาครัฐและเอกชนในพื้นที่ให้การสนับสนุน ส่วนผลการสอบถาม 1) ความความพึงพอใจในกิจกรรมที่เกิดขึ้นของชมรม 2) พฤติกรรมของผู้ที่เข้าร่วมกิจกรรมชมรมผู้สูงอายุ และ 3) ระดับประโยชน์สาธารณะของผู้ที่เข้าร่วมกิจกรรมชมรมผู้สูงอายุ อำเภอพระพุทธบาท จังหวัดสระบุรี พบว่า เฉลี่ยรวมในระดับมาก
สรุปผล: การสร้างเครือข่ายชุมชน และการพัฒนาเครือข่ายการส่งเสริมสุขภาพของผู้สูงอายุ สามารถนำไปสู่การสร้างจิตสำนึกในการดูแลสุขภาพแก่ประชาชนได้ แสดงให้เห็นว่าเครือข่ายที่เกิดขึ้นจากชมรมผู้สูงอายุอำเภอพระพุทธบาท จังหวัดสระบุรีสามารถส่งเสริมทำให้ผู้สูงอายุมีคุณภาพชีวิตที่ดีขึ้น
การรับรู้การสนับสนุนจากองค์การและการรับรู้ความสามารถของตนเองที่ส่งผลต่อพฤติกรรมสร้างนวัตกรรมในการทำงานของพนักงานมหาวิทยาลัยของรัฐในสามจังหวัดชายแดนใต้
Authors: พรหมพูล นิรุตน์ , ประยูรพันธ์ ธมยันตี
Published: December 2024

ภูมิหลังและวัตถุประสงค์: นวัตกรรมเป็นหัวใจสำคัญในการขับเคลื่อนการพัฒนาองค์กร มหาวิทยาลัยในฐานะแหล่งผลิตและถ่ายทอดความรู้ จำเป็นต้องส่งเสริมให้เกิดพฤติกรรมการสร้างนวัตกรรมในหมู่บุคลากร เพื่อพัฒนาองค์กรให้บรรลุเป้าหมายทางยุทธศาสตร์ การศึกษานี้มีวัตถุประสงค์ (1) เพื่อศึกษาการรับรู้การสนับสนุนจากองค์การที่ส่งผลต่อพฤติกรรมสร้างนวัตกรรมในการทำงานของพนักงานมหาวิทยาลัยของรัฐในสามจังหวัดชายแดนใต้ (2) เพื่อศึกษาการรับรู้ความสามารถของตนเองที่ส่งผลต่อพฤติกรรมสร้างนวัตกรรมในการทำงานของพนักงานมหาวิทยาลัยของรัฐในสามจังหวัดชายแดนใต้
ระเบียบวิธีการวิจัย: การวิจัยครั้งนี้เก็บรวบรวมข้อมูลด้วยแบบสอบถามจากพนักงานมหาวิทยาลัยของรัฐในสามจังหวัดชายแดนใต้ จำนวน 404 คน ประกอบด้วย พนักงานมหาวิทยาลัยสายวิชาการ จำนวน 160 คน และสายสนับสนุน จำนวน 244 คน วิเคราะห์ข้อมูลด้วยสถิติเชิงพรรณนา วิเคราะห์ข้อมูลเชิงอนุมาน และการวิเคราะห์การถดถอยพหุคูณแบบนำเข้า (Enter Multiple Regression Analysis) ในการทดสอบสมมติฐาน    
ผลการวิจัย: การรับรู้การสนับสนุนจากองค์การส่งผลต่อพฤติกรรมสร้างนวัตกรรมในการทำงานของพนักงานมหาวิทยาลัยของรัฐในสามจังหวัดชายแดนใต้ อย่างมีนัยสำคัญทางสถิติที่ระดับ .05 และการรับรู้ความสามารถของตนเองส่งผลต่อพฤติกรรมสร้างนวัตกรรมในการทำงานของพนักงานมหาวิทยาลัยของรัฐในสามจังหวัดชายแดนใต้ อย่างมีนัยสำคัญทางสถิติที่ระดับ .05
สรุปผล: โดยภาพรวมการรับรู้ความสามารถของตนเอง มีความสัมพันธ์ที่ค่อนข้างแข็งแรงกับพฤติกรรมสร้างนวัตกรรมในการทำงาน มากกว่าการรับรู้การสนับสนุนจากองค์การ ผลการศึกษานี้ยังสามารถใช้เป็นแนวทางในการพัฒนาบุคลากรทางการศึกษาของมหาวิทยาลัยของรัฐ ให้มีพฤติกรรมสร้างนวัตกรรมในการทำงานที่นำไปสู่องค์กรแห่งการเรียนรู้อย่างยั่งยืน
Non-Suicidal Self-Injury, Impulsivity, and Addiction to Social Networks and the Internet in Adolescents
Authors: Carretero Eva M. , López-Martínez Luis-Fernando , Pérez-García Ana M. , Carrasco Miguel Á.
Published: December 2024

Impulsivity and addiction to social networks and the internet are two important risk factors associated with non-suicidal self-injury (NSSI) in adolescents. This quantitative, cross-sectional study explored the specific relationships between these constructs, giving consideration to the influence of sex. For this purpose, the Functional Self-Report Assessment of Self-Mutilation Scale (FASM) was used to assess NSSI, the Internet and Social Network Addiction Risk Scale for Adolescents (ERAR-SI) to measure digital addiction, and the Barratt Impulsivity Scale (BIS-11) to analyze impulsivity. The sample consisted of 516 participants (49.2% of whom were female) aged 11–21 years old. Several statistical analyses were conducted, including calculation of the sample’s main descriptive statistics, correlations, hierarchical logistic regression and structural equation analyses (path analysis and multigroup analysis). The results indicate significant relationships between NSSI and impulsivity and digital addiction and between NSSI and age and sex, with motor impulsivity, freaky behaviors and female sex being significant predictor variables. Although this study has certain limitations, these findings highlight the relevance of gender to self-injurious behavior and provide valuable information that can be used to develop specific NSSI interventions aimed at adolescents.

La impulsividad y la adicción a las redes sociales e internet son dos importantes factores de riesgo asociados a la autolesión no suicida (NSSI) en adolescentes. El presente estudio, de enfoque cuantitativo y transversal, exploró las relaciones específicas entre estos constructos teniendo en cuenta la influencia del sexo. Para ello se utilizaron la Escala de Autoinforme Evaluación Funcional de la Automutilación (FASM) para evaluar la NSSI, la Escala de Riesgo de Adicción a las Redes Sociales e Internet para Adolescentes (ERAR-SI) para medir la adicción digital, y la Escala de Impulsividad de Barratt (BIS-11) para analizar la impulsividad. La muestra estuvo compuesta por 516 adolescentes de entre 11 y 21 años (49.2% mujeres). Se realizaron diferentes análisis estadísticos, como estadísticos descriptivos, correlaciones, regresión logística jerárquica y análisis de ecuaciones estructurales (análisis de trayectorias y análisis multigrupo). Los resultados indicaron relaciones significativas entre las NSSI y la impulsividad y la adicción digital, y NSSI y edad y sexo, siendo la impulsividad motora, las conductas frikis y el sexo femenino variables predictoras significativas. Pese a las limitaciones presentes, estos hallazgos subrayan la relevancia del sexo en la conducta de autolesión y aportan información valiosa para desarrollar intervenciones específicas dirigidas a adolescentes.
La vivienda en España: respuesta institucional y colectivos vulnerables
Authors: López Martínez Gabriel
Published: December 2024

Reseña.
Implementasi Framework Laravel dalam Pembuatan Website Segitiga Motor dengan Metode Waterfall
Authors: Dini Nurul Azizah  , Luthfi Dika Chandra  , Muhammad Galuh Gumelar  , Wien Kuntari
Published: December 2024

The Segitiga Motor website was developed using the Laravel framework with the SDLC Waterfall model approach to digitize the management of customer data and workshop services. The development process includes stages such as requirements analysis, system design, implementation, testing, and maintenance. Laravel was chosen for its ability to speed up development through reusable components and its organized and flexible structure. The website successfully integrates key features such as online service booking, customer data management, product catalog, and promotions, all effectively. Testing results show that the system works as planned, enhancing operational efficiency and making it easier for customers to access services. For future development, adding features like analytics and integration with digital payment systems could further improve customer experience and satisfaction.
MODELAMIENTO AMBIENTAL DE LA DISTRIBUCIÓN ACTUAL Y POTENCIAL DE Atelopus bomolochos, Peters, 1973, BAJO ESCENARIOS DE CAMBIO CLIMÁTICO EN ECUADOR
Authors: Suntasig Negrete Edison Roberto , Fajardo Sarmiento Nancy Fernanda , Sarmiento Castro Doris Marisol , Caicedo Ballesteros Juan Carlos
Published: December 2024

El cambio climático y las presiones antrópicas representan los principales riesgos para la biodiversidad y el desarrollo humano, Ecuador al ser uno de los países megadiversos no es ajeno a esa realidad. Su posición geográfica, corrientes oceánicas y la cordillera de los Andes, crea una gran diversidad de nichos ecológicos que necesitan ser estudiados y evaluados para enfrentar esta problemática. En esta investigación se efectuó la distribución actual y potencial de Atelopus bomolochos bajo escenarios del cambio climático en Ecuador, con el fin de contar con información científica que permite analizar el grado de adaptabilidad de la especie y determinar sus nuevas áreas de idoneidad para su desarrollo. El estudio y la conservación de Atelopus bomolochos, al ser una especie catalogada en peligro crítico y endémica de Ecuador, es de gran interés e importancia. En el presente trabajo se utilizaron 58 puntos de ocurrencia georreferenciados de la especie y 6 variables bioclimáticas actuales y proyectadas a escenarios futuros para el año 2070, según los nuevos criterios de las rutas socioeconómicas compartidas SSP 245 y SSP 585. En el modelamiento ambiental se utilizó el algoritmo de máxima entropía (MaxEnt), obteniendo un buen desempeño del modelo con un valor de AUC de 0.94, determinando así, las áreas de idoneidad y el rango altitudinal actuales y futuras de la especie. En las áreas de idoneidad alta en el año 2070 se observa una reducción en los escenarios futuros, así para el SSP 245 hay una reducción del 57.48% y para el SSP 585 es de 45.47%, en cuanto a su distribución altitudinal. La especie está migrando a elevaciones mayores, producto de las condiciones climáticas proyectadas al futuro, así en el presente se la encuentra a 3189 msnm, para el año 2070 en el escenario SSP 245 a 3414 msnm y para el escenario SSP 485 a 3468 msnm.
Uso de Redes Neuronales para el pronóstico del PIB de Ecuador en contraste con modelos ARIMA, período 2000-2023.
Authors: Morales Torres Isidro Fabricio , Contreras Rocha Christian Jhonny
Published: December 2024

El presente estudio analiza la eficacia de las Redes Neuronales Artificiales (RNA) para pronosticar el Producto Interno Bruto (PIB) trimestral de Ecuador en comparación con modelos estadísticos tradicionales como ARIMA. Se emplearon datos trimestrales de PIB, exportaciones, importaciones y dos variables dummy que representan el impacto de la pandemia de COVID-19 y una crisis económica, abarcando el periodo 2000-2023. Para los modelos RNA se utilizó un perceptrón multicapa con dos capas ocultas, mientras que los modelos ARIMA se parametrizaron mediante criterios de información. Los resultados mostraron que las RNA superaron en precisión a los modelos tradicionales, con menores valores de error absoluto medio (MAE) y raíz del error cuadrático medio (RMSE), así como un mayor coeficiente de determinación (R²). Estos hallazgos destacan la capacidad de las RNA para capturar la complejidad y las no linealidades inherentes a los datos económicos, proporcionando una herramienta más robusta para la previsión del PIB en escenarios económicos desafiantes.
Proiecte artistice despre incluziune și diversitate la MNAC și MNHCV. O analiză din perspectiva studiilor despre dizabilitate
Authors: Hașegan Despina
Published: December 2024

Disability studies do not have a tradition in Romania and our research aims to present and study valuable initiatives of museums in this area. From the perspective of disability studies, in this article we analyze two exhibitions organised by Romanian museums. These projects showcased artistic explorations of disability undertaken by contemporary artists. The exhibitions also represented an occasion to debate on the rights of the people with disabilities and to reflect on changes in our society. We offer a theoretical approach based on both museum and disability studies and we analyze the artistic projects using concepts such as inclusion, diversity, accessibility. These initiatives are important because they demonstrate the engagement of Romanian museums in current societal issues.
Limite și provocări în evoluția muzeelor din România începutului de secol XXI
Authors: Iakob Attila
Published: December 2024

Discussions regarding the role and evolutions of museums are not new. In the last decades, the cultural, political, social and economic changes positioned the museum in a tight place, where the need of change and the ways and means of these changes intersected in a complex web of past, present and future issues. The present paper desires to map the evolution and working frame of museums, especially of the Romanian museums, to adapt and integrate their activity in the new requirements of the society and digital age. On the other hand, the paper puts some emphasis on the structural issues and the limitations created by the social, political and economic contexts.
Vulnerabilitatea muzeelor românești în fața schimbărilor legislative: o analiză a amenințărilor sistemice apărute în anii 2023-2024
Authors: Rus Valer
Published: December 2024

In recent months, the legal landscape in Romania has undergone significant changes directly impacting the mission of the museums and public collections in preserving and promoting cultural heritage. Among these changes are Law 296/2023 and amendments to Law 311/2003 on Museums and Public Collections. This article examines the specific threats posed by these changes to Romanian museums and their system for safeguarding national cultural heritage.
Dasar-Dasar Pendidikan Islam dalam Al-Qur’an
Authors: Al Firdaus
Published: December 2024

The basis of Islamic education plays a vital role in the future of the Indonesian nation. There is still homework that scholars need to complete regarding this training. The decline in the work enthusiasm of Indonesian children is apparent. The Koran has been related to every event that has occurred since it was revealed. Islamic education aims to illuminate the dark side of human behavior. Oh, that's why humans are ordered to read events in this universe to give a signal that humans without knowledge and revelation will lead to destruction. So it is important to deepen the study of the basics of education in the Al-Qur'an so that the Al-Qur'an can provide updates to the world of education. The method used in the study is descriptive analysis combined with Maudhu'i interpretation. Meanwhile, the data obtained through library research uses three stages of description, comparison, analysis, and development, which ultimately results in a conclusion by the problem formulation and research objectives.
Manajemen Perpustakaan di Sekolah Dasar Negeri Nagrak 02 Kecamatan Sukaraja Kabupaten Bogor
Authors: Siti Maylani Tineke  , Ahmadi Sukarno  , Ariah  , Setia Budi
Published: December 2024

The objective of the research is to know: 1. How is school library management as a student’s learning resource in sdn nagrak 02 : what are the supporting factors and any obstacles in using school library as a student’s learning resource in sdn nagrak 02. It is observational research by using descriptive qualitatif method. Interviewing, observation, and documentation are used to get the data. The result of the research stated that the library itself as the main tool for managing a school library is not available in SDN Nagrak 02. This is because there is no room or space for a library that has the same large as the government standard. The collection of the class library in SDN Nagrak 02 is limited. There are only textbooks and teacher reference books. The school still has plans to have a library in its own space. Even it is still limited. In using a library, teachers maximize to use of the available facility as a learning resource for students. The ways are, the books are used in the teaching and learning process in the classroom. They are lent and can be brought home. The reading activity before the teaching and learning process in SDN Nagrak 02 has several factors. They are the class library, school librarian, also teacher’s spirit and creativity. Besides that, there are some inhibitors such as, the school hasn’t had a space for a school library yet, and the collection of the book is limited.
Analysis of M-polynomial and NM – polynomial Graphs in Topographies using Fuzzy Mathematical Modeling
Authors: E. Jayanthi  , S. Shunmugapriya
Published: December 2024

Objective: Molecular topology, chemical-based graph theory, and mathematical chemistry all depend on the study of topological criteria because these metrics capture the structural, chemical, and physical properties of molecules. However, there is a clear challenge in characterising non-isomorphic graphs that have the same topological measure value. Numerous areas of chemistry benefit from the application of algebraic graph theory. It is a strong theoretical method for predicting either the common and unusual properties of molecules because it clarifies how the many orientations of macromolecules and crystals impact their structure and behaviour.Methods : In this study, we first calculate the M and NM polynomials of the graph and then recover some degree-based and neighbourhood degree sum based indices. In addition, a few outcomes are shown graphically for contrast. Findings : First Zagreb Index (U_1), Second Zagreb Index (U_2), Redefined third Zagreb Index (U_3), Y-Tally (U_y), Forgotten topological Index (U_f ), Second modified Zagreb Index (U_m), Symmetric division deg Index (U_d ), Harmonic Index (U_h), Inverse sum indeg Index (U_i), and Augmented Zagreb Index (U_a) are among the topographies of the Graph that this work aims to forecast and analyse using fuzzy mathematical modelling. Novelty: This research used ANOVA one-way classification to show that the graph's various topographies are the same.
Analyzing Asymmetric Warfare Tactics During Bourbon Reforms: A Technological Perspective on Historical Causes and Modern Implications
Authors: Jimmy Yhoselin Vargas Calla  , Jaime Lovaton Huillca
Published: December 2024

The purpose of this research is to analyze and describe the characteristic elements of unconventional warfare during the Bourbon reforms, and how these characteristics represent continuities in Peru today. This research work was carried out from the qualitative approach, documentary review, of basic type, by means of the analytical summary technique, being the units of analysis for the analytical summary the Bourbon reforms based fundamentally on authors like Jhon Fisher (Bourbon Peru) and Scarllet Oppelan (A century of anticolonial rebellions) and Alfonso Quiroz, (History of Corruption in Peru) which are elevated to a dialogical situation of the present-past postulated by the historian E. H. Card. H. Card, the conclusion of this work is that in Peru there are changes and continuities from the eighteenth century to the twenty-first century. They represent threats and risks to the survival of the State in the current case the republic and democracy threatened by the characteristic element that generates crisis which is corruption, which affects and will affect national security.
Information Management in Public Administration: A Systematic Review from a Technological Perspective
Authors: César Lozano-Lévano  , Bessy Castillo-Santamaria  , Liliana Tomasa Chávez Ordinola
Published: December 2024

This study shows the review of different scientific articles from the last 5 years on importance of information management in public management, consulting different academic search engines, including articles from Peru and other countries where there is also interest in this issue. The following question was asked: What is the importance of information management in public management? The objective of this research is to carry out a systematic review of articles related to information management in public management. Then, the information in the scientific network has been used, that is, all the documents reviewed are from indexed academic journals, from national to international studies, in order to rescue the different approaches to this problem with the different points of view, their approach. the problem, the solutions and their recommendations. The importance of information management in public administration is concluded, being crucial for modernization and efficiency of public administration globally and in Peru. Digitization and effective information management are essential to address today's challenges and build more agile and adaptive governments. In the Peruvian context, the implementation of digital tools and promotion of citizen participation are essential to improve transparency and efficiency in public administration. Considering information management as an essential pillar to build a modern, efficient and transparent government, both globally and in Peru.
KNN and PCA Approach for Gujarati Script
Authors: Mamta Baheti
Published: December 2024

Researchers are very interested in the essential pattern recognition used for offline handwriting recognition. Any handwritten material may be converted into system-editable textual data by identifying concealed forms and understanding the typescripts included within the papers. Gujarati is one of India's 22 officially recognized languages. OCR in Gujarati has a number of problems, making it challenging to spot worldwide invariant forms and irregularities in handwritten Gujarati script. Another significant problem with handwritten Gujarati script is the shortage of an important comparison dataset. This problem was discovered, and a review was made. We created a dataset and treated it with invariant moments and used Gaussian and KNN Classifier for classification. KNN gave better results as compared to Gaussian.
Digital Tools/Resources used for Marketing & Communication – A Study of CBSE and State Board Schools of Nagpur city
Authors: Purvi Makwana  , Gayathri Band  , Heena Dhingra
Published: December 2024

A good vision, a good product, a good service if not promoted properly will have to tread a difficult and time-consuming path to Reach the consumers, get noticed, create satisfaction, trust in the minds of consumers. Presently, the usage of Digital Platforms for promotions has increased in all businesses and also the education field (to reach maximum number of customers). When we are talking of the Education Industry especially School education System their promotional strategies & today’s fast changing technological scenarios, the need to know the latest and best digital marketing tools is very high. In view of the above, this study was carried out to know the use of digital resources by Central Board of Secondary Education (CBSE) and State Board schools of Nagpur city of India. This study was conducted by following a standardized research method and data collection was done using a structured questionnaire and statistical analysis was carried out using SPSS 20.0 software. Based on the study results, it is observed that most of the CBSE schools have outsourced the marketing activity, while most of the State Board schools have formed in-house teams to undertake marketing. In both type of schools, the marketing strategy revolves around promoting overall development of the students. Amongst the digital marketing methods bulk messaging is the preferred option.
A Secure Communication System for Free Space Utilizing Quantum Computing Based Multiple Bits Encryption and Decryption
Authors: Kavita R. Singh  , Kapil Gupta  , Sagarkumar S. Badhiye  , Roshni S. Khedgaonkar  , Pravinkumar M. Sonsare
Published: December 2024

In this research, an embedded system based quantum encryption and decryption using
polarization scheme is proposed in the transmitter and receiver side .The information data andencryption code is fed into quantum encryption setup, where the encryption takes place and ispassed to the LED’s polarizer form where it is converted as photons and passed to the receiver. At the receiver end, LDR’s (light dependent resistor) are used, which act as a detector forconversion of light energy to optical energy. LDR output is decrypted using quantum decryptingand the original message is recovered. In the proposed system, the polarization state of photoncarries, quantum encryption key (private key if user). The property of photons is used in errordetection in the proposed system.The significant outcome of this research is that eaves dropping in quantumcommunication channel are always detected and the proposed system does not implementcomplex mathematical algorithms for its security. This research work is implemented in anembedded hardware for different transmission lengths for which encryption and decryption isperformed at a faster rate, when compared to implementation involving software simulationalone. The future enhancement of the above research would involve avoiding the usage ofquantum repeaters to achieve significant data transmission and reception.
Identification of Musical Notes using Support Vector Machine
Authors: Siddhi Jagtap  , Jagruti Wagh  , Aakash Kasabekar  , Kiran Mogal  , Tanaya Nene  , Sankirti Shiravale
Published: December 2024

Music is the universal language that profoundly unites cultures and generations all over the world. The ability to recognize notes in music is essential in many fields, including composing, teaching music, and digital audio processing. It is essential for both music education and composition to be able to accurately identify and classify musical notes and chords. Using Mel-frequency Cepstral Coefficients (MFCC) and Support Vector Machine (SVM), we present a novel Music Note Recognition System in this study which identifies the notes present in the input audio file. To meet the needs of musicians, non-musicians as well as audio enthusiasts, the system attempts to accurately identify musical notes from audio samples. The experiments show that the recommended method is effective. Comparison analysis shows the advantages of SVM classification and MFCC-based feature extraction over existing techniques, which result in better performance. Beginners can use this system to learn and practice musical instruments, while musicians can use it to compose, transcribe, and analyze musical pieces. Furthermore, the system's durability and adaptability make it a good fit for integration with recent advancements in audio processing and music production software.
Innovative Pedagogical Approaches for Teaching Cloud-Native DevOps: Integrating Theory and Practice
Authors: Dr. Rajeshwari S B  , Priyanka Mane  , Dr. Sanjeetha R  , Dr. Jagadish S Kallimani  , Balajee R M  , Laxmi Kale
Published: December 2024

In the rapidly evolving field of cloud computing and DevOps, educational methodologies must adapt to equip students with both theoretical knowledge and practical skills. This paper explores innovative pedagogical approaches for teaching Cloud-Native DevOps, emphasizing the integration of theory and practice. The study examines various instructional strategies, including hands-on labs, real-world projects, and collaborative learning, to provide a comprehensive understanding of key concepts such as containerization, micro services, continuous integration/continuous deployment (CI/CD), and infrastructure as code (IaC). By analyzing case studies and feedback from students and educators, the paper highlights best practices and identifies challenges in the current educational landscape. The findings suggest that a balanced approach combining theoretical lectures with immersive practical experiences significantly enhances student engagement and competency in Cloud-Native DevOps. This research aims to contribute to the development of an effective and dynamic curriculum that prepares students for the demands of the modern IT industry.
Machine Learning Approaches on India's Health Insurance Market using Data Analytics
Authors: Nidhi Prabhakar  , Suresh Kumar Kashyap  , Barnita Ghosh
Published: December 2024

Data has grown in significance in the digital realm with the development of computer technology. Information gathering is crucial when it comes to data analytics. Every industry uses data analytics, from banking to retail, and the importance of data analytics in healthcare is on the rise.This research mainly seeks to categorize and predict healthcare data using data mining tools and machine learning (supervised) approaches. We need to build a sophisticated model (using machine learning) to filter through all the data in our databases since there is so much of it. The amount of data stored exceeds the speed at which human beings can analyze it. This categorization becomes even more significant since classified healthcare data may help with patient identification, diagnosis, and treatment. The huge, complicated, and varied nature of healthcare data is driving the need for data mining tools for classification and forecasting. Machine learning has emerged as a crucial tool for healthcare researchers to quickly, accurately, and efficiently resolve complex classification problems. Although researchers are aware of the problem, premature birth (PTB) continues to go unaddressed, despite the fact that it is a huge public health concern with far-reaching negative consequences for families and communities. The first goal of implementing a model based on machine learning is to predict cases of TB. Decision Tree (DT), Logistic Regression (RR), and Support Vector Machine (SVM) are three learner classifiers utilized for this purpose, in addition to Minimum Information Loss (MIL) discretization.
Robust Watermarking and Image Enhancement Technique Using Classification in Machine Learning
Authors: Puja S. Agrawal  , Aleefia A Khurshid
Published: December 2024

The need for strong watermarking methods to safeguard IP and guarantee authenticity has increased due to the widespread use of digital images across many platforms. At the same time, there has been a meteoric rise in the need for visual quality improvement techniques for images. This work introduces a new method that combines watermarking, picture augmentation, and machine learning classification to provide security, visual integrity, and durability. Common assaults on traditional watermarking systems include cropping, filtering, and compression. On the other hand, our suggested method uses ML classifiers to adaptively embed watermarks in the frequency or spatial domains, making it more resistant to typical assaults. The embedding approach ensures resilience while minimising perceptual distortion by dynamically adapting to picture content features using a classification model trained on a broad dataset. Images that have been watermarked have their visual quality improved since image enhancement is a part of the watermarking framework. The suggested method finds target areas and selectively conducts improvement operations using feature extraction and analysis. This customised method reduces the effect of watermark insertion while preserving crucial picture characteristics.
Impact of Artificial Intelligence on Advertising: A Bibliometric Analysis
Authors: Dr. Mubina Saifee  , Dr. Arvind Khadse  , Dr. Geeta Naidu  , Diptanshu Graham  , Avinash Sahu  , Dr. Sampada Mashirkar
Published: December 2024

This paper presents a bibliometric analysis examining the impact of Artificial Intelligence (AI) on advertising. Using data from the Web of Science Core Collection spanning 2014 to 2024, the study investigates citation patterns, prolific authors, universities, publishers/journals, and trends in publication year-wise.Results indicate a significant increase in research interest from 2018 onwards, with a notable surge in publications in 2022. Top contributing countries include the USA, with a focus on computer science, business economics, engineering, and communication fields.Co-authorship and bibliographic coupling analyses reveal influential authors and interconnected research works. Keyword co-occurrence analysis highlights central themes such as AI, machine learning, digital marketing, and advertising.The study's limitations include its reliance on Web of Science data and exclusion of unpublished works. Future research could encompass broader databases and diverse publication types. Overall, this analysis offers insights into AI-driven advertising trends, aiding researchers and industry professionals in understanding evolving research directions.