bluuebunny/crossref_metadata_2025 huggingface dataset:
Interior Design Idea Generation Using Image Classification
Authors:   Dept. of Computer Science and Engineering, Malnad College of Engineering, Hassan, India, Siddiqha Ayeesha , B S Chandana , N Jain Charitha
Published: January 2025

This paper proposes a new approach for personal- ized generating ideas of interior designs of an image classification technique with the assistance of machine learning. The proposed system takes an analysis of the design inspirations or user- uploaded images and classifies them into discrete interior design styles, such as modern, contemporary, traditional, and so on. Utilizing Convolutional Neural Networks (CNNs), the transfer learning using pre-trained models increases the accuracy and efficiency of classification for gaining knowledge from large image datasets. After classification, custom-made design recom- mendations like choosing furniture, color palettes, and layout suggestions will be generated based on a user’s design interest. This integration, using advanced machine learning techniques, will create a ’smart, automated design process’ that will help users to develop personalized interior spaces without requiring professional design proficiency. The entire research should help bring about a scalable, user-friendly platform for democratizing the interior design process, providing a simple arena for digital design ideas to be explored and adopted according to personal tastes or inspirations.
Studi etnomatematika
Authors: Pardi M. Habib Husnial , Mubarok Lutfi
Published: January 2025

Tujuan penelitian ini untuk mengetahui konsep geometri matematika yang terdapat pada kerajinan gerabah Desa Banyumulek dan bentuk soal matematika yang relevan berdasarkan konsep geometri matematika yang ditemukan. Penelitian ini menggunakan pendekatan kualitatif dengan jenis etnografi. Metode pengumpulan data yang digunakan adalah observasi, wawancara, dan dokumentasi. Penelitian ini dilakukan di Desa Banyumulek, Kecamatan Kediri, Lombok Barat, NTB. Hasil pada penelitian menunjukkan bahwa pada gerabah (piring, gelas, cobek, kekete, kendi, selao, perapen, penyiong kupi, pot kembang) terdapat konsep geometri matematika dalam beberapa gerabah tersebut, yaitu: bangun ruang sisi lengkung dan bangun datar. Konsep geometri bangun datar bentuk lingkaran ada pada bagian alas piring, gelas, cobek dan bagian atas pada kendi dan selao. Sedangkan bangun ruang bentuk tabung terdapat pada gelas, bentuk setengah bola pada kekete dan penyiong kupi, bentuk kerucut terpacung pada selao, kendi, dan pot kembang. Bentuk soal matematika yang relevan terdapat pada meteri geometri bangun ruang di kelas IX SMP/MTs, sedangkan bangun datar terdapat di kelas VII dan VIII SMP/MTs.
Pemanfaatan TIK berbasis video animasi untuk peningkatan kualitas pembelajaran pada guru di lingkungan IGTKI di Banda Aceh
Authors: Oktariana Riza , Fidiawati Liza , JS Hanifa , Agustina Windi
Published: January 2025

Tujuan kegiatan pengabdian kepada masyarakat ini adalah untuk memberikan pelatihan dan pendampingan kepada pendidik agar memiliki kemampuan dalam merancang dan mendesain media pembelajaran berupa video animasi dengan berbagai tema/subtema/topik sehingga kualitas pembelajaran akan meningkatkan sesuai dengan aspek pengembangan pada anak usia dini. Kegiatan PkM ini juga berkaitan dengan IKU Universitas Bina Bangsa yakni setiap dosen ditantang untuk mengembangkan inovasi untuk meningkatkan kesejahteraan masyarakat dalam mendukung program-program pemerintah terutama yang berkaitan dengan inovasi pendidikan. Pengabdian ini dilakukan dengan empat tahapan yakni tahap persiapan, perencanaan, pelaksanaan, dan evaluasi. Dengan terlaksananya kegiatan ini nanti dapat menambah pengalaman, wawasan, dan keterampilan guru dalam merancang dan mendesain media pembelajaran berupa video animasi sesuai tema/subtema/topik untuk anak usia dini.
Gamification and attitudes in engaging children in the learning process: A case of online math games
Authors: Hammadi Nawal Qasim , Mohadat May Ahmad , Alawamreh Ali Ratib
Published: January 2025

Over the years, children’s mathematics performance is becoming a prime focus of concern due to the continuously changing culture of education. This specific research investigates with particular attention the modern sphere of online math games and how they could change the very nature of children’s participation in this academic discipline as well as the way it is perceived. Focusing on the interaction’s perspective, this study aims at investigating the effect of attitudes together with gamification on children’s academic achievement. The primary goal of this research is to examine, within the context of the educational system of Jordan, the contribution of the intensity of use of online math games to the understanding of the relationship between theoretical and practical elements of mathematics. The subsequent findings provide valuable knowledge on how to incorporate technology and gamification for positive changes in attitude towards mathematics, which in turn leads to improved performance in the subject.
EEMD-GA-LSTM: An innovative approach for daily solar radiation estimation in southern of Algeria
Authors: SENOUCI Ahlam , BENATIALLAH Ali , BENATIALLAH Djelloul , BOUCHOUICHA Kada , MAOUEDJ Rachid
Published: January 2025

In a solar-rich area, like the Saharan climate in southern Algeria, to optimize all diversions of use of this energy to the maximum, it is necessary to accurately evaluate the radiation received from the sun. To improve prediction accuracy of daily solar radiation, we present in this paper a new synergistic model that combines three powerful techniques LSTM (Long Short-Term Memory Network), GA (Genetic Algorithm) and EEMD (Ensemble Empirical Mode Decomposition). EEMD is a technique that breaks down complex and highly non-linear solar radiation data into smaller and more manageable components to identify hidden trends, patterns. The GA is used to optimize hyperparameters of LSTM network so that time relevance can be well captured in the solar radiation data. The EEMD-GA-LSTM model was tested in several southern Algerian regions (Biskra, Tamanrasset, Adrar and Tindouf) with different climates. As compared to other existing models including ANN-GA, ANN-PSO, ANFIS-GA and ANFIS-PSO our method performed markedly good R² values and lower RMSE values (RMSE from 3.0125% to 1.554%). The findings underline the model's robustness and reliability in solar radiation prediction, providing valuable information for renewable energy assessment in arid and semi-arid regions. The current study shows the benefit of hybrid models combining metaheuristic optimization and deep learning in a complex environmental data set analysis, paving pathways for future work in both solar energy fields and climate prediction.
Evaluating Learning Management System (LMS) Effectiveness: An LPOMR Model Approach
Authors: Supiani Supiani , Kurniady Dedy Achmad , Yuniarsih Thutju , Aedi Nur
Published: January 2025

The purpose of this study is to evaluate the use of Learning Management System (LMS) as a school management model to improve the quality of education. This study uses the Research and Development (R&D) method with the ADDIE approach, which includes the stages of Analysis, Design, Development, Implementation, and Evaluation. Through this approach, LMS is evaluated to measure its effectiveness in supporting school management and improving the education process. The findings of the study indicate that the implementation of this LMS has improved coordination between schools, teachers, students, and parents, which has led to increased community involvement in school activities and decision making. This increased involvement has contributed significantly to improving the quality of education. This study provides valuable insights into creating a more efficient and participatory school management system through the application of digital technology.
Tren Penelitian dan Dampak Adanya Internet of Things terhadap Peningkatan Kualitas Pendidikan IPA dalam Upaya Melaksanakan Sustainable Development Goals (SDGs): Analisis Bibliometrik
Authors: Rochintaniawati Diana , Susilawati Aay , Kustiawan Iwan , Hasanah Lilik , Irawan Deni , Juhanda Aa , Putri Salsabilla Dwita
Published: January 2025

Tujuan dari penelitian ini untuk mengetahui tren penelitian dan pengaruh Internet of Things (IoT) terhadap Tujuan Pembangunan Berkelanjutan (SDGs) untuk pendidikan bermutu, khususnya pada Pendidikan IPA. Metode penelitian yang digunakan adalah analisis bibliometrik dengan menggunakan Publish or Peris dan Vos viewer untuk mencari data dan memvisualisasikan hubungan antara kata kunci Internet of things, SDGs dan pendidikan IPA. Hasil yang diperoleh adalah penelitian tentang IoT dan SDGs untuk pendidikan IPA bermutu merupakan penelitian yang sedang tren dan dikaji oleh para ilmuwan. Hal ini dapat dilihat pada visualisasi jaringan dan penjelasan tahun dan negara yang menunjukkan bahwa ketiga kata kunci tersebut merupakan hal yang baru dan menjadi topik penelitian. Rekomendasi dari hasil penelitian ini adalah memberikan peluang dan informasi tentang dampak teknologi IoT terhadap tujuan hidup berkelanjutan, khususnya dalam peningkatan mutu pendidikan IPA atau ilmu pengetahuan lainnya, sehingga untuk kedepannya dapat dilakukan penelitian tentang implementasi teknologi IoT dalam pembelajaran IPA.
Data-driven high friction surface treatment applications for roadway safety
Authors: Obenauf Austin , Vaughn Mike , Potter Ryland , Briskin Isaac
Published: January 2025

The Kentucky Transportation Cabinet (KYTC) Highway Safety Improvement Program (HSIP) has been utilizing a data-driven high friction surface treatment (HFST) program as a proven safety countermeasure for wet weather and roadway departure crashes. This report will walk through the origins of the study and the process to identify candidate locations for HFST and development of a pavement friction program. The project has constructed over forty sites in 2023, including a mixture of rural corridor curves, signalized intersection approaches, and limited access freeway ramps. The project utilized a mixture of pavement friction data, pavement resurfacing lists, and specific crash data. The sites are being reviewed to show the benefits through a before and after crash analysis and pavement condition over time based on traffic volumes, weather, and other factors.
Advancing Cybersecurity and Data Networking Through Machine Learning-Driven Prediction Models
Authors: Dandamudi Sai Ratna Prasad , Sajja Jaideep , Khanna Amit
Published: January 2025

The increasing reliance on interconnected systems has elevated the importance of robust cybersecurity and efficient data networking. As digital transformation accelerates, emerging cyber threats exploit vulnerabilities in critical infrastructure, emphasizing the need for innovative solutions. This paper investigates the application of machine learning in enhancing cybersecurity and data networking through predictive models. By analyzing empirical data from major network providers, cybersecurity firms, and detailed case studies, this research demonstrates the effectiveness of machine learning in improving threat detection, optimizing network performance, and mitigating risks.

Findings reveal that machine learning-driven prediction models enhance security measures by 85%, optimize network efficiency by 30%, and significantly reduce financial losses stemming from cyberattacks. These predictive systems provide early warnings and automate responses, enabling organizations to transition from reactive to proactive security strategies. Furthermore, machine learning algorithms dynamically allocate network resources, reducing latency and increasing bandwidth utilization.

The results showcase the transformative potential of machine learning in safeguarding digital ecosystems against evolving threats. As industries become increasingly reliant on data networking, the adoption of machine learning not only fortifies cybersecurity frameworks but also streamlines operational efficiency. Addressing challenges such as integration with legacy systems, high implementation costs, and the need for skilled personnel will be critical to unlocking the full potential of this technology. This research underscores the indispensable role of machine learning in shaping a secure and resilient digital future.
Leveraging Artificial Intelligence for Data Networking and Cybersecurity in the United States
Authors: Dandamudi Sai Ratna Prasad , Sajja Jaideep , Khanna Amit
Published: January 2025

The United States has rapidly advanced in data networking infrastructure, driven by the widespread adoption of 5G networks, Internet of Things (IoT) devices, and cloud computing technologies. This rapid technological expansion has fueled economic growth and enhanced connectivity but has also introduced vulnerabilities to increasingly sophisticated cyber threats. As cyberattacks grow more advanced, organizations face significant challenges in maintaining network security and ensuring data integrity. This paper examines the role of artificial intelligence (AI) in addressing these challenges by improving data networking and bolstering cybersecurity efforts across the U.S.

Through the analysis of empirical data from major network providers, leading cybersecurity firms, and government agencies, the study focuses on three critical areas: predictive threat detection, real-time anomaly response, and network optimization. AI has demonstrated unparalleled capabilities in these domains, enabling organizations to proactively identify and mitigate threats while optimizing network performance. Results reveal that AI-driven systems achieve an impressive 92% accuracy in cyber threat detection, reduce average response times to under 1.5 minutes, and improve bandwidth allocation efficiency by 35% during peak traffic hours.

The findings underscore the transformative potential of AI in enhancing both network efficiency and cybersecurity measures, resulting in substantial economic benefits. Organizations adopting AI solutions report a reduction in data breach costs by up to $18 billion annually and a marked improvement in operational efficiency. Despite these advancements, challenges such as high implementation costs, skill shortages, and ethical concerns must be addressed to maximize AI’s potential. This study provides actionable insights for stakeholders, emphasizing the necessity of AI in safeguarding U.S. digital infrastructure in an evolving technological landscape.
De eerste inhoudelijke jurisprudentie over de Omgevingswet in 2024
Authors: Schönfeld Yuval
Published: January 2025

De eerste inhoudelijke jurisprudentie over de Omgevingswet in 2024

In dit artikel gaat de auteur in op de wat hem betreft meest in het oog springende inhoudelijke rechtspraak over de Omgevingswet.
Reducing Environmental Pollution Through Behavioral Change and Education: A Repeated Cross-Sectional Pilot Study
Authors: Shrestha Junu , Karki Ranju , Adewusi Esther A.
Published: January 2025

This repeated cross-sectional pilot study examined the impact of environmental education on reducing overall waste generation among students enrolled in an environmental health course from Fall 2020 to Spring 2023. The data included trash generation, single-use plastic, and paper products. Each student logged their daily usage of these waste products in a standard spreadsheet. The data collection phases were divided into three behavioral change intervention timelines: Before-Intervention (BI-Week 1-5), Phase -1 (PH1I- Week 6-10), and Phase-2 Intervention (PH2I-Week 11-14). The study found a significant reduction in the use of grocery bags (p<0.001*), produce bags (p=0.03*), cutlery/straws (p=0.01*), paper towels (p<0.001*), toilet paper (p<0.001*), theweight (p=0.003*) and number(p=0.02*) of trash. The results indicated that the mean differences in waste such as paper towels p<0.001*(PH1I VSBI);p<0.001*(PH2I VS BI); p=0.009*(PH2I VS PH1I)], toilet paper [p=0.003*(PH1I VS BI); p=0.001*(PH2I VS BI); p<0.001*(PH2I VS PH1I)], grocery bags [p=0.001*(PH1I VS BI); p=0.001*(PH2I VS PH1I), Cutlery/Straw [p=0.006*(PH1I VS BI);p=0.007*(PH2I VS BI), and the average weight of trash bags [p=0.002* (PH1I VS BI); p=0.004*(PH2I VS PH1I)] were statistically significant after the interventions. Therefore, the study concluded that environmental awareness, self-accountability, and education are effective in controlling single-use plastic and paper products and reducing trash generation.
Enhanced market trend forecasting using machine learning models: a study with external factor integration
Authors:   Department of Management Science and Quantitative Methods, Gannon University, USA, Hossain Md Shakhaowat , Khan Afrina ,   Master’s in business administration, BRAC Business School, Dhaka Bangladesh, Das Pritom ,   College of Computer Science, Pacific States University, Los Angeles, CA, USA, Haque Md Sayem Ul ,   MBA in Business Analytics, Gannon University, USA, Kamruzzaman Fnu ,   Department of Information Technology Project Management & Business Analytics, St. Francis College, USA, Akter Sharmin ,   Department of Information Technology Project Management, St. Francis College, USA, Ahmed Adib ,   Department of Management Science and Quantitative Methods, Gannon University, USA, Miah Md Rashel ,   Department of Digital Communication and Media/Multimedia, Westcliff University, USA
Published: January 2025

This study explores the application of advanced machine learning models for market trend forecasting, incorporating external factors such as economic indicators and sentiment analysis to enhance prediction accuracy. Comparative analysis of models including Random Forest, Support Vector Machines, Gradient Boosting, and Neural Networks revealed distinct performance differences, with Gradient Boosting achieving the highest accuracy of 92.7% and the lowest mean squared error of 0.014. External factors contributed significantly to improving model precision, as evidenced by a 7.5% increase in overall forecasting accuracy. The study emphasizes the efficacy of integrating diverse machine learning algorithms and external variables in creating robust forecasting systems. These findings highlight the potential for machine learning to revolutionize market analysis and decision-making, offering practical implications for industries seeking data-driven strategies to optimize performance in dynamic economic environments.
Editorial
Authors: Capurri Agnese
Published: January 2025

Estimados lectores, estimadas lectoras:
Tenemos el placer de presentaros el segundo número de este año de Perifèria. Revista de Investigación y Formación en Antropología.
La sección de Artículos consta de seis textos que abordan distintas temáticas antropológicas. El primer artículo trata sobre las trayectorias educativas de los jóvenes en Perú que viven en condiciones de pobreza (Rojas Arangoitia y Carrasco Pons). A continuación, se presenta otro artículo sobre la agencia parental en los servicios de atención neonatal y la estructura político- social relacionada (Garzón-Esguerra y Moro-Gutiérrez). Para la lectura siguiente, proponemos un artículo que explora el concepto maya máasewáal de kanan (cuidar) como sistema de reciprocidad multiespecie, proponiendo un enfoque etnográfico de la complejidad relacional de estas interacciones (Ortíz Becerril). El cuarto artículo se enmarca en una investigación etnográfica de personas supervivientes de la psiquiatría, centrándose en la trayectoria de vida de una mujer con una trayectoria de sufrimiento por violencia (De Juan Franco y Arizti Ugarteburu). Por otro lado, el quinto artículo aborda el tema de la migración de tránsito en Monterrey, centrándose en la vida cotidiana de los emigrantes en la central de autobuses (Estrada Huerta). Finalmente, el último artículo, en lengua inglesa, tiene como objetivo entender cómo los repertorios espaciales conforman y son conformados por los espacios, considerando tanto los contextos históricos y sociales como el papel de las tecnologías digitales, a través de un episodio de la serie de televisión Bizarre Foods Americas, que tuvo lugar en el barrio de Getsemaní en Cartagena de Indias (Morales-Fonesca).
Continuamos con la sección de Reseñas. En este número, tenemos la oportunidad de presentaros dos contribuciones: “La vía política mapuche: Apuntes para un Estado plurinacional” de Fernando Pairican Padilla (Carretero Salazar); y “Migración, movilidad y educación. Estrategias familiares y respuestas escolares” de Silvia Carrasco Pons (Llamas Ortega).
Para concluir, en la sección de Apuntes Etnográficos, os invitamos a explorar las tradiciones alimentarias y las creencias y costumbres relacionadas en el municipio de San Antonio del Tequendama, en Colombia (Daza Martínez).
Esperamos que disfrutéis mucho de todas las lecturas. ¡Salud y Antropología!
Agencia parental en los servicios de atención neonatal: una cuestión discursiva y de género
Authors: Garzón-Esguerra Carolina , Moro-Gutiérrez Lourdes
Published: January 2025

El objetivo de esta etnografía es analizar el constructo de la agencia de madres y padres, en los servicios de atención neonatal. Se desarrolló en los servicios de vacunación y atención al recién nacido, denominados por la normativa colombiana como: actividades de protección específica. Se utilizaron como técnicas etnográficas: la observación participante, grupos focales y entrevistas semiestructuradas a 12 padres y madres de neonatos y lactantes. Como resultado se identificó una estructura socio política vertical en la toma de decisiones sobre la salud de sus hijo/as, basada en discursos de responsabilidad institucional, espacios feminizados de atención y significados corporales.
La Morfología en la Enseñanza Media: reivindicación de un enfoque reflexivo e integrado con el aprendizaje de la sintaxis y la semántica
Authors: Marqueta Gracia Bárbara
Published: January 2025

En este artículo se plantea una propuesta de renovación teórica y práctica de la enseñanza de la Morfología en ESO y Bachillerato. Aprovechando el contexto favorable a la reflexión e integración gramatical que se trasluce en el actual currículo nacional (LOMCE) para la materia de Lengua Castellana y Literatura, se propone, en la línea de lo que otros especialistas han defendido previamente, restar protagonismo a la actividad de segmentación y etiquetado formal de palabras elegidas arbitrariamente. Para hacer la enseñanza de la Morfología más eficiente y motivadora, se proponen divisiones de trabajo que organizan las palabras complejas en función de sus propiedades afines, se apuesta por una ejercitación explícita de las propiedades de la alomorfia, la polisemia y la rivalidad sufijal y se integran contenidos semánticos y sintáctico-combinatorios en la práctica morfológica. La propuesta se acompaña de 50 actividades que ejemplifican las ideas presentadas.
La gramática de las clases de partículas. Tres casos del español
Authors: Pavón Lucero María Victoria
Published: January 2025

En este trabajo estudiamos tres unidades léxicas con comportamientos sintácticos que pueden corresponder a varias clases de partículas; concretamente, preposiciones, conjunciones y adverbios. A cada uno de esos comportamientos que nos permiten adscribirlas a una u otra categoría gramatical, nos referiremos como valores. Mediante el estudio de estas unidades, nos proponemos revisar las propiedades gramaticales de las tres clases de partículas mencionadas y evidenciar cuáles de ellas las relacionan y cuáles las hacen diferentes. En el caso de cada una de las partículas analizadas, tratamos de determinar qué tienen en común sus diferentes valores y en qué se diferencian. Asimismo, se introduce el concepto de gramaticalización y se muestra cómo este fenómeno ha condicionado los valores actuales de las partículas estudiadas.
Pronombres sin antecedente
Authors: Leonetti Jungl Manuel
Published: January 2025

Debido a su rasgo de definitud y a la ausencia de contenido descriptivo, los pronombres de tercera persona -explícitos o tácitos- no pueden emplearse como expresiones referencialmente autónomas, y requieren un antecedente discursivo para ser interpretados. Sin embargo, no es imposible encontrar ejemplos de pronombres sin antecedente (como el sujeto tácito en En este pueblo, pro viven como quieren); un buen número de ellos son en algún sentido marginales (tómese el sujeto tácito en Cerca de casa había una churrería. Y, por cierto, pro estaban buenísimos).
El caso de los pronombres sin antecedente plantea, por un lado, el problema teórico de cómo formular una hipótesis restrictiva sobre sus condiciones de uso, y, por otro, el problema práctico de qué recomendaciones deben hacerse para la redacción de textos escritos. Los dos problemas están ligados. Entre los factores que hay que tener en cuenta en el análisis están la distinción entre oralidad y escritura -las condiciones de uso de los pronombres sin antecedente no son las mismas-, la distinción explícito / tácito -los pronombres tácitos se legitiman en condiciones más permisivas-, y la distinción singular / plural -la mayor parte de las interpretaciones posibles sin antecedente es posible solo con plurales-. El manejo de los pronombres sin antecedente como recurso gramatical en la escritura implica el control consciente de estos factores.
Efek profitabilitas Terhadap Nilai Perusahaan dengan Struktur Permodalan Sebagai Variabel Mediasi (Studi Empiris: Bank Umum Syariah Indonesia)
Authors: Rawati Mesis , Puteri Hesi Eka
Published: January 2025

Profitability is one of the factors influencing a company's value, and higher profitability accelerates the growth rate of assets in Sharia Commercial Banks in Indonesia. The objective of this study is to estimate the mediating effect through the Capital Adequacy Ratio variable, which represents the interaction pattern in explaining how Return on Assets (ROA) and Return on Equity (ROE) affect Price Book Value (PBV). This research utilizes Structural Equation Modeling (SEM) with Partial Least Squares (PLS) analysis using WarpPLS 8.0. The study involved 12 respondents from Sharia Commercial Banks listed on the Indonesia Stock Exchange, selected through purposive sampling. The findings indicate a partial mediating effect of Capital Adequacy Ratio (CAR) in the relationship between ROA, ROE, and PBV. Based on the testing and discussion of the findings regarding the mediating effect of CAR in the relationship between ROA, ROE, and PBV in Sharia Commercial Banks in Indonesia, CAR partially mediates the relationship between ROA, ROE, and PBV as indicated by the Variance Accounted For (VAF). This relationship enriches the understanding that the positive effect of profitability on company value is mediated by the CAR process. The company's value is viewed through its ability to maintain CAR. Scientifically, this research contributes to the understanding of capital structure in business or banking, serving as a reference for companies and banks to enhance corporate value and profitability year after year by maintaining an optimal capital structure that avoids bankruptcy and strengthens capitalization.
Bad Credit Problems in Financing Institutions In Makassar City
Authors: Nawi Syahruddin , Wahab Mirnawati , Arief Muh.
Published: January 2025

This study focuses on the study of the Problem of Bad Loans of Financial Institutions in various agreements and the factors that affect the creation of bad loans in various agreements in Makassar City, South Sulawesi Province. The type of research is empirical legal research (nondoctrinal), which is research that observes social phenomena in society, in this case the problem of bad loans of financial institutions in various agreements. In addition, it also examines the factors that affect the occurrence of bad loans at financing institutions in various agreements in Makassar City, South Sulawesi Province. The influencing factors are, standard contract (regulation) factors, provit, legal awareness, business failure and the Covid 19 factor. The results of the study concluded that 1). The frequency or quantity of bad loans at financial institutions in Makassar City is quite high. 2). Factors that affect the occurrence of bad loans at financial institutions in Makassar City are standard contract (regulation) factors, provit, legal awareness, business failure and the Covid 19 factor.
Cultural Heritage Management of Local Product "Ale": A Strategy for Digital Era Documenting and Preservation of Local Wisdom
Authors: Patintingan Mersilina L. , Pakiding Yulius , Pare Ernita
Published: January 2025

The cultural history of the indigenous product 'Ale' a mat constructed from a plant analogous to rice, constitutes a significant aspect of the ancestral wisdom transmitted through generations within Toraja civilization. Nonetheless, throughout time, its preservation and maintenance encounter numerous obstacles, particularly in sustaining its viability in the digital age. This project seeks to discover solutions for managing the cultural legacy of 'Ale' products through proper documentation and the preservation of local wisdom. This research employs a qualitative methodology, utilizing data collection approaches such as interviews, observations, and documentary analysis. The research findings indicate that digital technologies, including social media platforms and web-based applications, can effectively document and present 'Ale' items to a global audience. Moreover, collaboration among local communities, scholars, and the government is essential for preserving the sustainability of 'Ale' products and the indigenous knowledge they embody. This research advances the formulation of technology-driven solutions for the protection of cultural assets in the future.
Dispensasi Hukum Perkawinan di Bawah Umur Perspektif Hukum Islam dan Hukum Nasional
Authors: Afandi Ahmad , Billah Muhammad Erfan Muktasim , Siddiq Mahfudz
Published: January 2025

Article 7 Paragraph 1 of Law Number 16 of 2019 stipulates that the minimum age for marriage is 19 years. However, marriages below this age are still possible through a dispensation regulated by law. This study analyzes the perspectives of Islamic law and national law regarding marriage dispensations following the amendment to the minimum marriage age in Law Number 16 of 2019. Additionally, this study evaluates the impact of the amendment. The method used is normative legal research, focusing on the study of legal rules and principles. Based on the research findings, Islamic law tends to be more flexible in granting dispensations, while national law has become stricter following the amendment. The impact of the minimum marriage age change is reflected in the decline in the number of dispensation requests, indicating increased public awareness of the importance of education and delaying marriage. This change is expected to support the development of future generations' quality.
The Effectiveness of PAI Learning Innovation through Game Integration and Ice Breaker according to the principal of SMAN Central of Lombok
Authors: Hidayatullah Syarif , Muhammad Muhammad , Idrus S. Ali Jadid Al
Published: January 2025

This study aims to analyze the effectiveness of Islamic Religious Education (PAI) learning innovations through the integration of games and ice breakers in State High Schools of Central Lombok Regency. By adopting a qualitative approach, this research involves in-depth interviews with school principals as well as observations on the implementation of these innovations in the classroom. The results show that the integration of games and ice breakers in PAI learning not only increases students' interest and motivation, but also creates a more interactive and fun learning atmosphere. The principal stated that this innovation has succeeded in reducing student boredom in the learning process and increasing their engagement. In addition, the results of the evaluation showed a significant increase in understanding of the teaching material. This study recommends the application of similar innovations in other schools to improve the quality of PAI learning.
Visual Hermeneutics Study of Political Ads in Governor Election Campaigns on Instagram
Authors: Paris Atika Salman , Nuruddin Nuruddin , Hasanah Nurlaila , Suryadi Hendra
Published: January 2025

The increasing use of social media, particularly Instagram, as a primary platform for political campaigns demands an in-depth understanding of how visual elements influence public perception. This study addresses two main research problems: first, what meanings are embedded in the images of gubernatorial political advertisements on Instagram? Second, how can a hermeneutic approach uncover the visual dimensions within such campaigns? The purpose of this study is to analyze the visual messages in gubernatorial political campaigns on Instagram and understand the contextualization and visual interpretation of political advertisements using a hermeneutic approach. Using a qualitative method based on visual hermeneutics, data in the form of political advertisement images were analyzed through visual mapping and semantic interpretation. The results show that campaign advertisements featuring the gubernatorial candidate alongside the music group Slank successfully built a connection between the candidate and strong social and cultural identities, particularly among young voters. Visual elements such as facial expressions, color schemes, and image composition reinforced the political message and created an image of the candidate as a progressive figure closely connected to the community. Hermeneutic analysis further revealed that these advertisements not only conveyed political messages but also constructed cultural narratives linking the candidate to values of change and solidarity. This study contributes to enriching the understanding of the role of visual elements in political campaigns on social media and demonstrates how these elements can be strategically utilized to shape public perception, enhance the candidate's image, and influence voter preferences in an increasingly digital and visual electoral context.
The Representation of Islam in European Parliament Sessions: A Corpus Study of ‘Europarl 3: German’
Authors: Lestari Tri Edliani , Anwar Miftahulkhairah , Prihantoro Prihantoro
Published: January 2025

This study investigates the representation of Islam in European Parliament sessions using the Europarl 3: German corpus, focusing on collocations related to Islam to understand their associated sentiments and semantic distributions. Political discourse plays a critical role in shaping public perceptions, and Islam is often framed within the context of security and conflict in contemporary European narratives. This study aims to explore two key aspects: (1) the sentiments associated with collocations related to Islam in European Parliament sessions, and (2) the semantic categorization of these collocations within the corpus. Using collocation and concordance analysis via Corpus Query Processing (CQP), the study finds that themes with absolute negative sentiments are predominantly associated with the term Terrorismus 'terrorism,' which is frequently linked to Islam. However, some other collocations reveal variations in sentiment, including the presence of limited but notable positive sentiments. The study also categorizes these collocations into semantic groups based on established corpus linguistics frameworks, identifying patterns of representation that indicate bias in political discourse toward Islam. These findings highlight the securitization of Islam in political narratives, which may reinforce negative stereotypes and contribute to social polarization. Nevertheless, the existence of references with positive sentiments suggests opportunities to promote more balanced and constructive discourse. This study underscores the importance of inclusive political language to foster social cohesion. Future research is recommended to expand the corpus to other languages, conduct longitudinal analyses, and further explore positive narratives related to Islam to achieve a more balanced political discourse in Europe
A Study on the Feng Shui Environment of Land and Space in AI Era Based on the New Campus of Gong-ju National University
Authors:   The Academy of Real Korean History, Son Seohoo
Published: January 2025

The world is changing rapidly. Entering the era of the Fourth Industrial Revolution, China is rapidly evolving into a society of super-intelligence, super-convergence, and hyper-connection. Digital innovation technologies that drive changes in the new era, from big data and blockchain to the Internet of Things and AI, are already deeply embedded in the center of human life. This trend is expected to accelerate throughout society.
Feng Shui has long been widely used in various fields to select important locations such as the capital of the country, the residential areas of individuals, and the graves of their ancestors. However, entering the digital age, classical knowledge of Feng S hui faces an inevitable historical turning point through convergence with AI. This represents a great innovation in convergence as well as a structuralist approach to longstanding Feng Shui thinking. Therefore, it is more urgent than ever to think about “new concept Feng Shui marketing”, which can open a new horizon for it by developing big data-based “customized Feng Shui content” that combines it and AI technology and provides related information in real time. To this end, it is necessary to build high-quality data for AI to learn the logic and thinking systems of Feng Shui.
In this high school, we analyzed the location environment of the new campus of Gongju National University from a Feng Shui perspective and focused on quantifying the data values derived from it. This was to reduce the ambiguity of evaluation criteria, which is said to be a chronic problem of Feng Shui; and to input clearer and quantified prompts into AI. It is hoped that such research will provide an opportunity to enhance the status and existence value of Feng Shui as a traditional culture and ideology of the Korean people.
Comparative analysis of “the Naked Woman Sculpture of the Jeondeung Temple” Legend and the Drama “The Jeondeung Temple”
Authors:   The Academy of Real Korean History, Baek Minjeong
Published: January 2025

In this paper, based on a comparison and analysis of the narrative development and thematic consciousness of the folk tale  and the one-act drama , several characteristics shown in the content conversion process from a folk tale to a drama are identified
First, it is a change in composition. The drama  changed the original story of  by composing the content of the original story into a past life story inserted into the frame, thereby increasing interest. In addition, it has a composition format that fits the 12 stages of the hero's journey created by Vogler, and thus has a composition format that fits the drama grammar.
Second, it is the aspect of change in the character. It can be seen that the character settings are being diversified by creating and inserting a diverse group of characters other than those who appear in the original tale. In addition, the two-dimensional character found in the original tale is transformed into a threedimensional character that fits the drama genre, and the surrounding characters are given individuality suited to their respective roles.
Third, there is a change in the theme. By making the linear development of love, betrayal, and revenge dealt with in the original tale three-dimensional, devices that give the inevitability of the development of events are placed here and there. First, the ‘love’ element was multi-layered and various obstacles and conflict elements were inserted in the main character’s achievement of love. In addition, the ‘betrayal’ element also dilutes the low-level nature of the betrayal element shown in the original tale by ensuring the inevitability of a betrayal with a reason based on the protagonist’s morals and love. Meanwhile, the ‘revenge’ element provides a rational reason for the lukewarmness and passivity of revenge shown in the original tale by making the object of revenge commit suicide.
These elements of change in drama content can be said to be major factors that enable the story to overcome the limitations of the original tale due to its linear development of events, flat character settings, and simple themes, and to be reborn as an interesting.
Effects of the Complexity of using a Beauty Concert Reservation Service on User Burden and Stress
Authors:   The Academy of Real Korean History, Moon Sohee , Kim Sumin
Published: January 2025

In this study, we analyzed the impact of the complexity of beauty salon reservation services on the burden, discomfort, and stress felt by users.
The results of the study confirmed that complex reservation services increase the burden of reservation management, inconvenience of use, system stress, and reservation system stress. In particular, the more complicated the reservation procedure, the more time it takes, the more inconvenient it is, and the more stress it causes. It is important to improve user experience by increasing intuitiveness. In addition, simplifying reservation procedures can help increase customer satisfaction and reduce stress. Future research should explore more deeply the relationship between specific improvement methods and customer satisfaction.
Tratamentos farmacológicos e não medicamentosos para TDAH em crianças: uma revisão
Authors: Campos Artur Rodrigues de Oliveira , Alves Elcio Moreira , Silva Juliana Lilis da , Amâncio Natália de Fátima Gonçalves
Published: January 2025

O Transtorno de Déficit de Atenção e Hiperatividade (TDAH) é um distúrbio do neurodesenvolvimento em crianças, caracterizado por desatenção, hiperatividade e impulsividade. Este estudo revisou tratamentos farmacológicos e não medicamentosos, documentando suas características, benefícios e limitações. A pesquisa consistiu em uma revisão integrativa de literatura com 21 estudos publicados entre 2020 e 2024, obtidos em bases como PubMed, SciELO e BVS. Os tratamentos farmacológicos, principalmente com estimulantes como metilfenidato e lisdexanfetamina, demonstraram eficácia na redução de sintomas, mas apresentam efeitos colaterais, como insônia e perda de apetite, além de possíveis impactos no desenvolvimento cerebral a longo prazo. Entre as terapias não medicamentosas, a Terapia Cognitivo-Comportamental (TCC) destacou-se por melhorar o controle emocional e organizacional. A musicoterapia e a arteterapia facilitaram a expressão emocional e a interação social, enquanto a dietoterapia enfatizou o papel de nutrientes como ômega-3, ferro e zinco, com redução de açúcares e corantes artificiais. Atividades físicas, como a natação, foram associadas a melhorias na atenção e regulação emocional. O neurofeedback mostrou-se promissor, apesar de desafios metodológicos e baixa aceitação clínica. Conclui-se que o uso integrado de abordagens farmacológicas e não medicamentosas apresenta um modelo promissor no manejo do TDAH, especialmente em casos leves e moderados, promovendo qualidade de vida para os pacientes e suas famílias. No entanto, são necessários mais estudos comparativos robustos para avaliar a eficácia relativa de cada método.
O método pilates no ensino dos cursos de saúde no Brasil
Authors: Santos Sarah Manuele Cuimar dos , Teixeira Renato da Costa , Soeiro Ana Cristina Vidigal
Published: January 2025

Objetivo: verificar de que forma o método Pilates está inserido nos cursos da saúde. Método: revisão integrativa da literatura. A pesquisa foi realizada durante os mêses de abril e maio de 2024 nas bases de dados Google acadêmico, Scielo, ERIC e PubMED. Foram incluídos artigos publicados nos últimos dez anos, nos idiomas português, inglês e espanhol considerando a aplicação do método Pilates na graduação dos cursos de fisioterapia e educação física. Resultados: foram encontrados 13.344 artigos e após os critérios de esclusão foram analisados 8 artigos. O método Pilates mostrou-se como um recurso importante na formação dos alunos, assim como para os pacientes que se beneficiaram com as ações. Considerações finais: o método Pilates vem sendo utilizado no ensino superior como projeto de extensão e disciplina optativa, promovendo a tríade ensino, pesquisa e extensão. O Pilates solo representa a modalidade mais expressiva. Entretanto, é importante ressaltar a necessidade de mais estudos que abordem a temática e um maior estímulo à utilização do método no ensino.
Sustainable solutions: the potential of coal adsorption from discarded pallet
Authors: Freitas Jhonatan Junio de , Ströher Gylles Ricardo , Ströher Gisely Luzia
Published: January 2025

This study investigated the production and characterization of activated carbon from discarded wooden pallets (CP). The charcoal produced had an active area of 715.94 m².g-1 and a high oxalic acid adsorption capacity of 5.66 x 10⁻³ mol.g-1. Comparisons with common adsorbent materials such as tamarind seed charcoal, green coconut shell and commercial pine activated carbon showed that CP is competitive in terms of adsorption efficiency. The Freundlich isotherm was identified as the most appropriate to describe the CP adsorption behavior, with a high correlation (0.9902), indicating a heterogeneous adsorption surface. The results highlight the feasibility of using CP as an effective and sustainable adsorbent, taking advantage of discarded materials, for industrial and environmental applications, such as removing pollutants from aqueous solutions.
Sala de aula invertida e interacionismo no ensino híbrido: desenvolvimento de um guia prático para vencer as dificuldades educacionais
Authors: Santos Raniele Romano dos , Araújo Valdo Souza , Freitas Douglas Souza , Figueiredo Ather Barbosa , Domingues Robson Jose de Souza , Freitas Jofre Jacob da Silva
Published: January 2025

Objetivo: Desenvolver e aplicar um produto educacional inovador voltado para o aluno da área da saúde, utilizando a metodologia da sala de aula invertida no contexto do ensino híbrido. Métodos: Utilizando como instrumento o método descritivo, com prevalência qualitativa, este estudo utilizou como base as considerações da Taxonomia de Bloom. Resultados: Os resultados indicaram que o produto educacional contribuiu para o aumento do engajamento dos alunos e para a compreensão dos conceitos de sala de aula invertida e ensino híbrido. Os alunos relataram melhor autonomia no aprendizado e maior facilidade na retenção de conteúdo. O guia mostrou-se eficiente na coleta de feedbacks rápidos e no acompanhamento do progresso dos estudantes. Conclusão: Os alunos apresentaram dificuldades em conceituar a sala de aula invertida e boa parte deles tem baixa aceitação da metodologia adotada. Em se tratando do processo formativo dos alunos, eles sugerem que os conceitos morfofisiológicos, sejam abordados de forma presencial nos primeiros períodos da graduação. A utilização da sala de aula invertida no ensino híbrido, aliada ao suporte digital, é uma abordagem eficaz para o desenvolvimento cognitivo e a formação autônoma no ensino em saúde.
O ensino de diabetes melittus na formação dos Enfermeiros
Authors: Mendes Nathalie Porfirio , Mendes Clarissa Porfirio , Carneiro Remo Rodrigues , Kietzer Katia Simone
Published: January 2025

O objetivo foi sintetizar estudos científicos, que tenham abordado o ensino de Diabetes Mellitus na formação dos estudantes de nível superior do curso de enfermagem. Foi realizada uma revisão da literatura em 4 bases de dados: SCIELO, LILACS, Biblioteca Virtual em Saúde, BDENF e PUBMED. Para seleção dos artigos, foram utilizados os seguintes descritores: Diabetes Mellitus, ensino superior, estudantes de enfermagem em Português, Inglês e Espanhol. Foi utilizado o operador boleano AND entre os descritores. Os critérios de inclusão foram: pesquisas que abordassem o ensino de Diabetes Melittus nos cursos de graduação e pós-graduação em enfermagem. A busca resultou em 126 referências levantadas nas bases de dados, dessas, 104 foram excluídas por não atenderem a questão da pesquisa, 22 artigos foram identificados pelos títulos ou resumos, sendo 8 artigos estavam repetidos, 14 artigos foram lidos na íntegra e escolhidos para compor esta revisão.