bluuebunny/crossref_metadata_2025 huggingface dataset:
Preparation of Information Technology (IT) Master Plan of SMK Ma’arif 1 Metro Using the Open Group Architecture Framework (TOGAF) Method
Authors: Risa Ayuna  , Sutedi Sutedi
Published: November 2024

This study aims to compile an Information Technology (IT) Master Plan for SMK Ma'arif 1 Metro using The Open Group Architecture Framework (TOGAF) method. This method is applied to design a structured and integrated information technology infrastructure to support operations and learning in schools. The results of the study indicate that the main business processes in schools, such as student registration, curriculum management, and financial administration, are still carried out manually, making them prone to errors and inefficiencies. Through TOGAF, an information system architecture is designed that includes the development of the Academic Information System (SIAKAD) and other school management applications. In addition, improving network infrastructure and cybersecurity are priorities in the proposed technology architecture. Implementation strategies and change management are also formulated to ensure the success of the digital transformation. This IT Master Plan is expected to improve the efficiency of school operations and the quality of learning, as well as support the achievement of more optimal educational goals in the digital era.
Development Of Blueprint Enterprise Architecture In Academic Field Using Zachman Framework
Authors: Guntur Guntur  , Sutedi Sutedi
Published: November 2024

The Zachman Framework is one of the methods that can be used to design systems in a structured and comprehensive manner. This study aims to apply the Zachman Framework to design the academic system at SMA Al Kautsar Bandar Lampung, resulting in a blueprint that serves as a guide for system development. The research method involves mapping each perspective in the Zachman Framework, namely Planner (scope), Owner (business model), Designer (system model), and Builder (technology implementation). The findings indicate that the Zachman Framework ensures that all essential aspects of the system are considered, resulting in a structured enterprise architecture design that is efficient and meets stakeholder needs. Furthermore, this framework has proven effective in integrating data and synergizing business functions in the academic section, supporting optimal operations. The implications of this study suggest that the Zachman Framework can serve as an alternative solution for designing and developing an organized, directed, and easily implementable academic system, thus improving the efficiency of business processes in educational institutions.
A Comparative Analysis of Deep Learning Models for Predicting Power System Failures
Authors: Dimas Aditya  , Devina Putri  , Nanda Asyifa
Published: November 2024

Power systems are critical infrastructure that face significant challenges due to increasing demand and inherent complexity. Predicting failures in power systems is crucial for enhancing grid reliability, minimizing downtime, and optimizing maintenance processes. This study evaluates various deep learning models, specifically convolutional neural networks (CNN), recurrent neural networks (RNN), and transformer models, for predicting power system failures. By analyzing these models’ performance metrics on historical power grid data, the study provides insights into the strengths and weaknesses of each approach. The findings contribute to the development of more robust predictive models for power system reliability.
Enhancing Aspects of IIoT Networks with Federated Learning Blockchain Integrated Authentication Solution
Authors: Ling Fang Ting , Ng Hui Wen  , Tsi Shi Ping  , Vivian Bong Chiaw Cin  , Yew Wei Yi  , Muhammad Faisal
Published: November 2024

The Industrial Internet of Things (IIoT) faces various challenges in ensuring secure communication, authentication, and data integrity due to its distributed nature and evolving threat landscape. To address these issues, this paper proposes the integration of blockchain authentication as a robust solution to enhance security and reliability in IIoT networks. By leveraging Federated Learning with blockchain technology, the proposed solution aims to improve authentication mechanisms by training models across multiple edge devices, increasing fault tolerance, and adaptability while reducing the risk of single points of failure. The use of blockchain technology ensures a tamper-proof and transparent ledger for securely storing authentication data and model updates, enhancing security and integrity in IIoT networks. The results and analysis demonstrate that the integration of Federated Learning and blockchain technology effectively addresses interoperability issues, performance optimization concerns, and security vulnerabilities within IIoT networks, offering a more efficient, secure, and scalable authentication alternative.
Planning for a Microhydro Power Plant (PLTMH) in Raja Jaya Village, Penukal District, Penukal Abab Lematang Ilir Regency
Authors: Dimas Kasmoro  , Emidiana Emidiana  , Yudi Irwansi  , M.Saleh Al amin
Published: November 2024

The need for electrical energy is increasing, especially in rural areas, so building an environmentally friendly energy power plant such as a micro hydro generator can be used to produce electrical energy. This PLTMH planning aims to help the community produce environmentally friendly electrical energy and overcome frequent power outages. The research discusses determining the type of turbine, water discharge, turbine power and generator power at (PLTMH). The water discharge (Q) value of 2.67 m3/sec is the water discharge during the rainy season. From the calculation results, it can generate 25.65 kW of electrical energy, the type of turbine used is an open flume propeller type turbine, the planning of a micro-hydro power plant with a turbine power capacity of 60 kW and a generator of 50 kW greatly influences the power that will be produced by the turbine, which This means that the greater the water discharge, the greater the power generated by the turbine, conversely, if the water discharge is small, the power produced by the turbine is relatively small.
Optimizing Energy Consumption in Data Centers Using Machine Learning-Based Predictive Analytics
Authors: James Wilson  , Patricia Taylor  , Elizabeth Thomas
Published: November 2024

Data centers are major contributors to global energy consumption, with significant implications for operational costs and environmental sustainability. As energy demand increases, optimizing energy usage within these facilities has become essential. This study investigates the application of machine learning-based predictive analytics to enhance energy efficiency in data centers. By leveraging models such as Random Forest, Neural Networks, and Deep Learning, predictive analytics forecasts energy demands based on variables like temperature, workload, and time of day. Results from multiple case studies reveal that machine learning models can reduce energy consumption by up to 20%, offering a sustainable solution without compromising data center performance.
Natural Language Processing For Automatic Sentiment Analysis In Social Media Data
Authors: Siti Rahmawati  , Dewi Anggraini  , Rizki Kurniawan
Published: November 2024

With the exponential growth of social media platforms, vast amounts of data are generated daily, capturing public opinions, sentiments, and trends in real time. Automatic sentiment analysis using Natural Language Processing (NLP) has emerged as an essential tool to process this data, helping industries, researchers, and policymakers understand social sentiment more effectively. This study explores various NLP techniques for sentiment analysis, including machine learning-based, lexicon-based, and deep learning models. By examining advancements in NLP algorithms and challenges related to language diversity, slang, and context in social media data, this paper highlights the strengths and limitations of current methodologies and discusses potential future directions.
Enhancing Cybersecurity Through AI-Driven Intrusion Detection Systems in Industrial Control Systems
Authors: Alikhan Bekzhanov  , Aizada Sadykova  , Yerzhan Mukhamedi
Published: November 2024

Industrial Control Systems (ICS) play a critical role in managing infrastructure but are vulnerable to cyber-attacks. This paper presents an AI-driven Intrusion Detection System (IDS) specifically designed for ICS, utilizing a combination of supervised and unsupervised machine learning algorithms. By incorporating real-time anomaly detection and pattern recognition, the proposed IDS identifies potential intrusions while maintaining high accuracy. The experimental results show the system’s effectiveness in detecting cyber threats in real-world ICS environments, providing a scalable solution for enhancing cybersecurity in critical infrastructure.
Literature Review on Histogram-Based Image Forensics for Recaptured Image Detection
Authors: Nathanael David Christian Barus  , Nayem Kibriya  , Natasha Fedora Barus
Published: November 2024

This qualitative literature review explores the realm of histogram-based image forensics for recaptured image detection, addressing the challenges posed by advancements in display technology and the subsequent need for robust forensic techniques. The research methodology involves a systematic approach, including defined research objectives, thorough literature search, data extraction, thematic analysis, and ethical considerations. The focal point is the proposed method utilizing Local Ternary Count (LTC) histograms normalized from residue maps, demonstrating exceptional performance across various databases. The methodology involves residue map calculation, LTC histogram extraction, and experiments showcasing the method's efficiency in both single and mixed databases. The discussion emphasizes emerging frontiers in recaptured image forensics, presenting innovative algorithms categorized by the medium used during the recapture process. The shift towards deep learning methods is noted, with a focus on a proposed algorithm for detecting images recaptured from LCD screens based on quality-aware features and histogram features. The RID field has witnessed advancements, with a detailed overview of methods categorically addressing recapture from LCD screens. Ethical considerations are integrated into the discussion, and the conclusion emphasizes the need for constant adaptation, innovation, and collaboration in the fight against evolving manipulation techniques. Looking ahead, the fusion of features, standardized datasets, and advanced deep learning architectures are identified as key elements for future research in ensuring image authenticity
Enhancing Cybersecurity Posture: A Framework for Anomaly Detection in Cloud Computing Environments
Authors: David Jackson  , Barbara Harris  , Richard Clark
Published: November 2024

The rapid adoption of cloud computing has transformed the way organizations manage and store their data. However, this shift has also increased vulnerabilities to cyber threats. Anomaly detection is a critical component of cybersecurity frameworks, allowing for the identification of unusual patterns that may indicate security breaches. This paper presents a comprehensive framework for anomaly detection in cloud computing environments. It reviews existing methodologies, explores the integration of machine learning techniques, and discusses the challenges associated with implementing these systems. The proposed framework aims to enhance the cybersecurity posture of organizations by providing proactive detection of anomalies.
Challenges and Adaptations: International Students’ Experiences in Virtual Learning Environments
Authors: Lodis Inggridvara Ivada  , Angga Widyantara  , Aprilita Rizki Wulandari
Published: November 2024

This paper explores the challenges faced by international students in virtual learning environments, especially those accelerated by the COVID-19 pandemic. Using qualitative interviews and surveys, the study analyzes issues related to technology access, cultural adaptation, and academic engagement. Results highlight both unique struggles and adaptive strategies utilized by students to cope with the demands of online education. The study concludes with recommendations for institutions to better support international students in virtual settings.
Corporate Social Responsibility: Analysis Of Green Financial Behavior, Political Connections, Corporate Financial Performance And Sustainability Development
Authors: Nabilah Qurrotul ’Aini  , Ruri Istia Damayanti  , Hwihanus
Published: November 2024

Research or researching five international journals on corporate social responsibilities, political connections, corporate financial performance and sustainable development aimed at analyzing links between corporate social responsibility (CSR) and green financial behaviors, political connections, corporate financial performance, and sustainability. Research methods are employed with descriptive qualitative methods of searching through top five international academic databases such as science direct, emerald, and taylorandfrancis, with emphasis on publications that include aspects of corporate social responsibility. The results from a study of the five journals say that companies that have good CSR policies tend to be more active in implementing green finance practices, such as investments in renewable energy and resource efficiency. In addition, companies with strong political connections have easier access to resources and business opportunities that can improve their financial performance. Furthermore, effective CSR applications prove to have a positive impact on sustainability development, with companies contributing more significantly to environmental and social initiatives. It is hoped that the findings will provide insights for stakeholders in CSR relevant strategic decision making and company sustainability
Rancang Bangun Kontrol Bel Otomatis Berdasarkan Jadwal Perkuliahan Menggunakan Internet of Things (IoT)
Authors: Muhammad Ali Imran  , Achmad Fauzi  , Husnul Khair
Published: November 2024

The Internet of Things (IoT)-based automatic bell system is designed to enhance the efficiency of bell operations in educational institutions by utilizing modern technology. This research aims to develop a system that can control the bell automatically according to the class schedule, while also enabling remote control via a mobile application using the Blynk platform. The system is built using an ESP8266 as the main microcontroller, a DFPlayer Mini module for audio playback, and an RTC DS1307 for time management. The results show that the system functions as expected, both in automatic mode based on the schedule and in manual mode through the mobile application. Testing and debugging demonstrated that integration with WiFi networks allows for flexible and effective bell control. For further development, it is recommended to add a power backup feature, web interface, and push notifications to improve system reliability and flexibility. This system provides an efficient and practical IoT solution for automating bell operations in educational environments.
Korelasi Prestasi Akademik Mahasiswa Terhadap Promosi Kampus
Authors: Maskanda Rizky  , Yani Maulita  , Tioria Pasaribu
Published: November 2024

This study aims to analyze the correlation between students' academic achievements and the effectiveness of campus promotion in attracting new prospective students. Academic performance is often used as an indicator of educational quality in higher education and is frequently highlighted in promotional strategies. However, the direct relationship between student academic achievement and campus promotion success has not been fully understood. This research utilizes the Apriori method in data mining to discover hidden patterns related to student academic performance and campus promotion. The data analyzed include undergraduate students from the 2017–2019 cohorts at STMIK Kaputama Binjai, with variables such as study programs, GPA, school background, and major during high school. The results indicate a significant correlation between academic achievement and the effectiveness of campus promotion, which can be used by institutions to develop more targeted promotional strategies. By leveraging data mining, universities can more effectively identify potential student segments and enhance the overall image of the institution.
Rancang Bangun Sistem Informasi Pembuatan Surat Undangan Bintang Tamu Pada TVRI Sumatera Utara
Authors: Rifani Khairani Pohan
Published: November 2024

The information system for making invitation letters for guest stars at TVRI North Sumatra is designed to increase efficiency in managing invitations and guest information. This research aims to identify various challenges faced during the implementation of practical work at TVRI, such as administrative problems and employee delays. Through the use of web-based technology, this application is expected to provide practical and relevant solutions, facilitating the process of making invitations, managing guest data, and confirming attendance. The system development method used includes requirements analysis, user interface design, and implementation using HTML, CSS, JavaScript, and PHP for database management. It is hoped that the results of this research will be able to make a significant contribution to the efficiency of TVRI's internal processes, as well as creating valuable practical experience in the field of information technology.
Implementasi dan Analisa Sistem Pencegahan Intrusi pada Aplikasi Web Menggunakan Web Application Firewall
Authors: Deski Ari Sandi  , Agus Tedyyana
Published: November 2024

In the era of information technology advancement, web applications have become a means of seeking information. However, with technological progress, they have become increasingly vulnerable to cyber attacks such as SQL Injection and Cross-Site Scripting (XSS). This research aims to implement the Teler-waf Web Application Firewall (WAF) to protect web applications from such attacks. The research methodology includes the implementation of the Teler-waf WAF, analysis of web application security, and testing the speed of attack detection. The results show that Teler-waf is effective in preventing attacks, and its integration with Telegram bots provides real-time notifications to system administrators, enhancing security responsiveness. This research contributes to strengthening web application security and understanding the role of the Teler-waf WAF in addressing cyber threats.
Rancangan Aplikasi Rekomendasi Produk Skincare untuk Ibu Hamil Menggunakan Metode Prototype
Authors: Sri Wahyuni  , Fajri Profesio Putra
Published: November 2024

This research aims to develop an application for recommending safe and suitable skincare products for pregnant women. The application is built using the prototype method and implemented with the Python programming language using the Flask framework. The study encompasses product categories from Drw Skincare, including serums, toners, shampoos, body care products, facial washes, and creams. The system provides options for users to select categories of skincare ingredients they desire. The application issues warnings about skincare ingredients that should be avoided during pregnancy, such as retinol and specific acids. The end result is a list of recommended skincare products containing ingredients that align with the user's selected criteria. Each product is accompanied by comprehensive information about its ingredients and advice. Users can utilize search and advanced filtering features to find skincare products based on product types and brands. The application offers clear user guidance and an intuitive interface, enabling users to navigate and use the application comfortably. It is expected that this application can assist pregnant women in choosing safe and effective skincare products while providing a better understanding of skincare during pregnancy.
Teachers’ Financial Literacy, Concerns, and Well-Being: A Basis for Financial Program Design
Authors: Zerna Enrico
Published: November 2024

This descriptive–correlational study aimed to assess and analyze teachers' financial literacy, concerns, and well-being to develop a targeted financial program. The study involved 241 randomly selected teachers from the Division of Siquijor. Data were collected using validated questionnaires, and analysis was performed using percentage distribution, weighted mean, and Spearman Rank Correlation Coefficient. The findings revealed that: a) the teachers' financial literacy, in terms of financial knowledge and capability, was at a moderate level, while their financial skills were at a high level; b) their financial literacy, about financial awareness, concerns, and decisions, was also at a moderate level, though their financial goals were more advanced (high); and c) their financial well-being, particularly in terms of financial security, was at slightly applicable level. Moreover, the study found that a) there is a moderate relationship between teachers’ financial literacy and their financial well-being; b) teachers' financial literacy is significantly related to their financial concerns; and d) although the relationship between teachers' financial awareness and financial well-being is significant, the indicators are too weak to draw a strong conclusion
La promoción de políticas de erradicación de las desigualdades estructurales en el ámbito del Derecho de familia y de la persona: ¿Cumple España el ODS 10?
Authors: Sarrión Hernández Ernesto Francisco
Published: November 2024

Los 17 Objetivos de Desarrollo Sostenible (ODS) aprobados en el marco de la Agenda 2030 por la Asamblea General de las Naciones Unidas el 25 de septiembre de 2015, comprenden «las esferas económica, social y ambiental», y vienen teniendo una inevitable incidencia en el ámbito jurídico, del que precisamente no pueden sustraerse ninguna de las esferas mencionadas.

Como prueba de ello, la presente obra centra su objeto de estudio en la respuesta del Derecho privado ante los Objetivos de Desarrollo Sostenible, poniendo el foco de atención en diversos escenarios que le atañen a fin de ofrecer una panorámica global del asunto. Y, como podrá comprobar el lector al introducirse en sus páginas, los trabajos que componen esta obra son muestra de cómo los ODS tienen una importante presencia en materia de protección del menor y gestación subrogada, medidas de apoyo a personas con discapacidad, protección de las personas de avanzada edad, sustituciones hereditarias, derecho al honor ante la inclusión en ficheros de solvencia, responsabilidad civil, protección del nombre comercial, derecho a la vivienda, derecho de contratos y medio ambiente; brindándose algunas soluciones a los problemas que se advierten.
La interconexión de los Objetivos de Desarrollo Sostenible y las personas con discapacidad con el Código Civil
Authors: Ruiz Bautista María del Carmen
Published: November 2024

Los 17 Objetivos de Desarrollo Sostenible (ODS) aprobados en el marco de la Agenda 2030 por la Asamblea General de las Naciones Unidas el 25 de septiembre de 2015, comprenden «las esferas económica, social y ambiental», y vienen teniendo una inevitable incidencia en el ámbito jurídico, del que precisamente no pueden sustraerse ninguna de las esferas mencionadas.

Como prueba de ello, la presente obra centra su objeto de estudio en la respuesta del Derecho privado ante los Objetivos de Desarrollo Sostenible, poniendo el foco de atención en diversos escenarios que le atañen a fin de ofrecer una panorámica global del asunto. Y, como podrá comprobar el lector al introducirse en sus páginas, los trabajos que componen esta obra son muestra de cómo los ODS tienen una importante presencia en materia de protección del menor y gestación subrogada, medidas de apoyo a personas con discapacidad, protección de las personas de avanzada edad, sustituciones hereditarias, derecho al honor ante la inclusión en ficheros de solvencia, responsabilidad civil, protección del nombre comercial, derecho a la vivienda, derecho de contratos y medio ambiente; brindándose algunas soluciones a los problemas que se advierten.
ODS 11 El derecho a la vivienda: nuevas fórmulas de acceso en el Derecho civil
Authors: Morgado Freige María Pilar
Published: November 2024

Los 17 Objetivos de Desarrollo Sostenible (ODS) aprobados en el marco de la Agenda 2030 por la Asamblea General de las Naciones Unidas el 25 de septiembre de 2015, comprenden «las esferas económica, social y ambiental», y vienen teniendo una inevitable incidencia en el ámbito jurídico, del que precisamente no pueden sustraerse ninguna de las esferas mencionadas.

Como prueba de ello, la presente obra centra su objeto de estudio en la respuesta del Derecho privado ante los Objetivos de Desarrollo Sostenible, poniendo el foco de atención en diversos escenarios que le atañen a fin de ofrecer una panorámica global del asunto. Y, como podrá comprobar el lector al introducirse en sus páginas, los trabajos que componen esta obra son muestra de cómo los ODS tienen una importante presencia en materia de protección del menor y gestación subrogada, medidas de apoyo a personas con discapacidad, protección de las personas de avanzada edad, sustituciones hereditarias, derecho al honor ante la inclusión en ficheros de solvencia, responsabilidad civil, protección del nombre comercial, derecho a la vivienda, derecho de contratos y medio ambiente; brindándose algunas soluciones a los problemas que se advierten.
ODS 16. Jurisdicción civil: derecho al honor e inclusión en ficheros de solvencia
Authors: Martínez García Pedro Antonio
Published: November 2024

Los 17 Objetivos de Desarrollo Sostenible (ODS) aprobados en el marco de la Agenda 2030 por la Asamblea General de las Naciones Unidas el 25 de septiembre de 2015, comprenden «las esferas económica, social y ambiental», y vienen teniendo una inevitable incidencia en el ámbito jurídico, del que precisamente no pueden sustraerse ninguna de las esferas mencionadas.

Como prueba de ello, la presente obra centra su objeto de estudio en la respuesta del Derecho privado ante los Objetivos de Desarrollo Sostenible, poniendo el foco de atención en diversos escenarios que le atañen a fin de ofrecer una panorámica global del asunto. Y, como podrá comprobar el lector al introducirse en sus páginas, los trabajos que componen esta obra son muestra de cómo los ODS tienen una importante presencia en materia de protección del menor y gestación subrogada, medidas de apoyo a personas con discapacidad, protección de las personas de avanzada edad, sustituciones hereditarias, derecho al honor ante la inclusión en ficheros de solvencia, responsabilidad civil, protección del nombre comercial, derecho a la vivienda, derecho de contratos y medio ambiente; brindándose algunas soluciones a los problemas que se advierten.
¿Ser o no ser (objeto de decisiones automatizadas)? Evolución legislativa y jurisprudencial del concepto a nivel transnacional
Authors: Vargas Martínez Pilar
Published: November 2024

Los 17 Objetivos de Desarrollo Sostenible (ODS) aprobados en el marco de la Agenda 2030 por la Asamblea General de las Naciones Unidas el 25 de septiembre de 2015, comprenden «las esferas económica, social y ambiental», y vienen teniendo una inevitable incidencia en el ámbito jurídico, del que precisamente no pueden sustraerse ninguna de las esferas mencionadas.

Como prueba de ello, la presente obra centra su objeto de estudio en la respuesta del Derecho privado ante los Objetivos de Desarrollo Sostenible, poniendo el foco de atención en diversos escenarios que le atañen a fin de ofrecer una panorámica global del asunto. Y, como podrá comprobar el lector al introducirse en sus páginas, los trabajos que componen esta obra son muestra de cómo los ODS tienen una importante presencia en materia de protección del menor y gestación subrogada, medidas de apoyo a personas con discapacidad, protección de las personas de avanzada edad, sustituciones hereditarias, derecho al honor ante la inclusión en ficheros de solvencia, responsabilidad civil, protección del nombre comercial, derecho a la vivienda, derecho de contratos y medio ambiente; brindándose algunas soluciones a los problemas que se advierten.
El papel de la mujer en la empresa familiar en España: Análisis y propuestas a la luz del Objetivo de Desarrollo Sostenible núm. 5
Authors: Barrufet Borrell Clara
Published: November 2024

Los 17 Objetivos de Desarrollo Sostenible (ODS) aprobados en el marco de la Agenda 2030 por la Asamblea General de las Naciones Unidas el 25 de septiembre de 2015, comprenden «las esferas económica, social y ambiental», y vienen teniendo una inevitable incidencia en el ámbito jurídico, del que precisamente no pueden sustraerse ninguna de las esferas mencionadas.

Como prueba de ello, la presente obra centra su objeto de estudio en la respuesta del Derecho privado ante los Objetivos de Desarrollo Sostenible, poniendo el foco de atención en diversos escenarios que le atañen a fin de ofrecer una panorámica global del asunto. Y, como podrá comprobar el lector al introducirse en sus páginas, los trabajos que componen esta obra son muestra de cómo los ODS tienen una importante presencia en materia de protección del menor y gestación subrogada, medidas de apoyo a personas con discapacidad, protección de las personas de avanzada edad, sustituciones hereditarias, derecho al honor ante la inclusión en ficheros de solvencia, responsabilidad civil, protección del nombre comercial, derecho a la vivienda, derecho de contratos y medio ambiente; brindándose algunas soluciones a los problemas que se advierten.
Classroom Action Research: Implementation of the Tartil Method in Learning the Quran
Authors: Alfarizi M. , Mutathahirin Mutathahirin , Yumna Yumna , Akmal Fauzi , Dahliana Dina , Albizar Albizar , Taufan Muhammad , Nova Febri Sari
Published: November 2024

The use of appropriate methods is an aspect that influences the success of learning to read the Alquran, the method in question is easy to understand, systematic and appropriate to the diversity of students. This research aims to analyze the impression of using the tartil method in improving students' Alquran reading skills in elementary schools. This research uses quantitative methods with a type of classroom action research through four stages starting from planning, action, observation and reflection. Data sources were taken from fifteen participants through Alquran reading tests and document analysis of student learning outcomes. Apart from that, researchers also collected data through observations at the four stages of the research process carried out. All data was analyzed using SPSS 21 software with descriptive analysis techniques. Research findings from the two cycles of the learning process carried out found that there was an increase in students' ability to read the Alquran after learning using the tartil method. The results of this increase in ability can be seen from the students' final Alquran reading scores in the good (85) and very good (95) categories. Furthermore, the student assessment results sheet also shows satisfactory results with a cumulative learning completeness score above (87) to (96). Referring to the results of this analysis, the use of the tartil method in learning the Alquran has been able to increase students' proficiency in reading the Alquran, in fact, the tartil method can be used as an appropriate method in the process of learning the Alquran.
DEPREM PSİKOSOSYAL DESTEK ÇALIŞMALARINDA GÖREV ALAN PSİKOLOJİK DANIŞMANLARIN DENEYİMLERİNE YÖNELİK NİTEL BİR ÇALIŞMA
Authors: Yavrutürk Ali Rıza
Published: November 2024

Bu araştırmanın amacı, Kahramanmaraş depreminde psikososyal destek çalışmalarında görev alan psikolojik danışmanların deneyimlerinin incelenmesidir. Araştırmanın çalışma grubu 2022-2023 eğitim öğretim yılında Orta Karadeniz bölgesinde devlet okullarında görev yapan 12 psikolojik danışmandan oluşmaktadır. Katılımcılar amaçlı örnekleme yöntemlerinden biri olan kolay ulaşılabilir örnekleme yöntemi ile belirlenmiştir. Araştırmada nitel araştırma desenlerinden olgu bilim deseni kullanılmıştır. Veriler yarı yapılandırılmış görüşme formu aracılığıyla elde edilmiştir. Elde edilen verilerin içerik analizi yapıldıktan sonra temalar ve kodlar oluşturulmuştur. Araştırma sonucunda, katılımcıların içsel, dışsal ve mesleki etkenlerden dolayı programa katıldıkları sonucuna ulaşılmıştır. Karşılaştıkları durumu da fiziki durum ve depremzedelerin durumu olarak iki kategoride ele aldıkları görülmüştür. Araştırma sonucunda katılımcıların psikodestek programının hazırlık aşaması, uygulama aşaması ve değerlendirme aşamalarında yaptıkları bir takım çalışmalar ele alınmıştır. Ayrıca, katılımcıların psikososyal destek programına katılımları sonucunda mesleki ve kişisel bir takım bilgi ve beceriler edindikleri sonucuna ulaşılmıştır. Son olarak, veriler alanyazı bulguları ile birlikte tartışılarak, psikolojik danışmanlara ve psikososyal programı paydaşlarına bazı önerilerde bulunulmuştur.
Aplicaciones de la inteligencia artificial en asma
Authors: Almonacid Carlos , Izquierdo José Luis , Plaza Vicente
Published: November 2024

La inteligencia artificial (IA) y el aprendizaje automático (ML) puede llegar a transformar el diagnóstico y manejo de las enfermedades respiratorias como el asma. Estas herramientas permiten analizar grandes volúmenes de datos clínicos, genéticos y ambientales para mejorar la detección temprana, predecir exacerbaciones y personalizar tratamientos. Los algoritmos como redes neuronales, máquinas de soporte vectorial y árboles de decisión destacan por su capacidad para identificar patrones complejos, superando las técnicas tradicionales. Sin embargo, la implementación de la IA en la práctica clínica enfrenta retos. La falta de validación en grandes cohortes y la brecha de conocimiento entre científicos de datos y médicos limitan su adopción. Además, la interpretabilidad de algunos modelos avanzados, como las redes neuronales profundas, plantea dificultades en su aplicación práctica, ya que es crucial que los médicos comprendan los resultados para tomar decisiones informadas. A pesar de estos desafíos, la IA ha demostrado su potencial en la clasificación de pacientes según la gravedad del asma y la identificación de diferentes fenotipos, lo que facilita una atención más personalizada. Además, las herramientas de IA generativa, como ChatGPT, han mostrado utilidad en la educación sobre asma, aunque aún requieren mejoras en precisión y accesibilidad. Podemos concluir que, aunque la IA ofrece grandes promesas para mejorar el manejo del asma, su implementación clínica efectiva depende de superar obstáculos técnicos y éticos, y de la colaboración interdisciplinaria.
IMPACTOS DA DEMÊNCIA DA DOENÇA DE ALZHEIMER NA QUALIDADE DE VIDA DO IDOSO: UMA REVISÃO INTEGRATIVA
Authors: Cardoso Tiossi Gabriel Felipe , Sampaio Bonassa Gabriel , Martins Tannuri Rodrigo , Vicentini Bugiga André , Ferrari Jacinto Alessandro
Published: November 2024

A demência abrange um conjunto de doenças que afetam o cérebro e causam a deterioração progressiva das funções cognitivas, como memória e pensamento. A Doença de Alzheimer (DA) é a forma mais comum de demência, caracterizada por uma deterioração irreversível das habilidades cognitivas e funcionais, resultando em maior dependência para as atividades diárias e requerendo cuidadores para auxiliar no autocuidado. As origens da DA estão ligadas à acumulação de proteínas neurotóxicas no cérebro, resultando em danos neurais e comprometimento cognitivo. A progressão da DA leva a uma redução significativa na qualidade de vida dos idosos afetados, gerando sentimento de impotência, isolamento social e perda de perspectiva para o futuro. A perda de autonomia e memória dificulta os laços sociais e afetivos, afetando tanto os idosos quanto seus cuidadores e familiares. À medida que a DA avança, ocorrem alterações na qualidade de vida dos idosos, com dificuldades crescentes em realizar atividades básicas e complexas do dia a dia. O objetivo do presente estudo foi analisar evidências existentes sobre os impactos da DA na qualidade de vida dos idosos, por meio da revisão integrativa de estudos recentes sobre o tema. Os resultados mostraram que DA e as condições correlatas causadas por esse tipo de demência, como estresse, ansiedade, limitações cognitivas, de mobilidade, entre outros, tem relação direta com o comprometimento da qualidade de vida do idoso e de todos ao seu redor, como familiares e cuidadores.
RELAÇÃO DA SUPLEMENTAÇÃO GESTACIONAL DO ÁCIDO FÓLICO E DA VITAMINA D COM O TRANSTORNO DO ESPECTRO AUTISTA
Authors: Narumi Branco Miura Bruna , Anunciação Rico Carolina , Cavichioli Baldo Isabella , Ambrósio da Rocha Bruno
Published: November 2024

O Transtorno do Espectro Autista (TEA) é uma condição em que há um déficit permanente na interação social, nos padrões de comportamentos e nos interesses do indivíduo. Diversos são os fatores relacionados com o desenvolvimento do TEA. Recentemente, o envolvimento de carências nutricionais durante a gestação pode contribuir, de forma significativa, com o aparecimento do TEA. Assim, esta revisão integrativa explora a associação entre a suplementação de ácido fólico e a deficiência de vitamina D durante a gestação e o risco de desenvolvimento do Transtorno do Espectro Autista (TEA) nas crianças. Foi realizada uma revisão integrativa que consistiu no levantamento e seleção de artigos científicos e livros, publicados no período de 2001 a 2024 utilizando bases de dados MedLine, PubMed, SciELO, Lilacs e Bireme. Para a realização desta revisão foram utilizados os descritores em português e inglês: “autismo”, “transtorno do espectro autista”, “vitamina D”, “ácido fólico”, “gestação” e “suplementação”. Estes descritores foram unidos pelo operador booleano “e”. Alguns estudos demonstram um efeito protetor do ácido fólico para o TEA, enquanto outros evidenciaram que há um risco aumentado de TEA, sendo ponderadas algumas variações em relação à dosagem, ao momento e à duração da suplementação. Já a respeito da vitamina D materna, sua suplementação está associada ao melhor desenvolvimento cognitivo e diminuição da incidência de TEA na prole. Com base nas evidências avaliadas, concluímos que é importante ressaltar a necessidade de mais estudos para comprovar essa relação.
INCIDÊNCIA DA DEPRESSÃO PÓS-PARTO NO TERRITÓRIO BRASILEIRO
Authors: Rodrigues Lobo Jessyane , Arésia Gonçalves Julya , Paulino Miura Rodrigues Lucas , Redivo Júnior Nildo
Published: November 2024

A depressão pós-parto é amplamente reconhecida como o transtorno de humor mais comum entre as mães recentes, sendo caracterizada como uma condição multifatorial frequentemente subdiagnosticada. O quadro clínico desta condição é diversificado, incluindo sintomas físicos, cognitivos e comportamentais. Sua etiologia se associa, entre outras causas, a alterações genéticas, níveis de colesterol alterados, alteração dos hormônios sexuais e alteração dos hormônios da tireoide. Este estudo teve como objetivo realizar uma revisão integrativa e qualitativa da literatura sobre a prevalência da depressão pós-parto no Brasil, em que os artigos encontrados devem indicar correlação com o tema abordado nesta pesquisa. Nestes estudos, encontrou-se uma variabilidade entre 10% e 20% de incidência da depressão pós-parto entre as puérperas, influenciada por diversas condições de risco. Concluiu-se, então, que a prevalência de depressão pós-parto no Brasil é alta, e intimamente relacionada a fatores de risco socioeconômicos e culturais, sendo eles tão relevantes quanto o histórico médico prévio da paciente.
SÍNDROME DE KIENBÖCK: UMA REVISÃO BIBLIOGRÁFICA.
Authors: Schluchting William Roberto , Bressanti Bordim Marina , Hapuque de Morais Raddi Queren , Azedo Fernanda Leticia , Martins Pinto Fábio José
Published: November 2024

A Síndrome de Kienböck é uma condição rara e progressiva que afeta o osso semilunar do carpo, resultando em degeneração e necrose avascular do osso. Descrita pela primeira vez em 1910 pelo radiologista austríaco Robert Kienböck. Sabe-se agora que a osteonecrose do osso semilunar pode resultar de vários fatores, incluindo trauma, anomalias vasculares, anatomia óssea anormal e sobrecarga mecânica. No entanto, apesar dos avanços na compreensão e no tratamento, desafios persistem no manejo da Síndrome de Kienböck. O principal objetivo é apresentar uma atualização sobre a evolução clínica, diagnóstico diferencial e a abordagem terapêutica adotada sobre a Síndrome de Kienböck. Esta pesquisa se justifica pela necessidade de preencher lacunas na compreensão da Síndrome de Kienböck, oferecendo uma contribuição valiosa para o âmbito clínico. Este estudo adota uma abordagem de pesquisa do tipo de revisão bibliográfica sistemática. A busca foi limitada a artigos publicados entre os anos de 2015 e 2024, a fim de garantir a inclusão das pesquisas mais recentes e relevantes sobre o tema. Assim, a principal causa para o desenvolvimento da Síndrome de Kienböck são influenciados por diversos fatores, principalmente a necrose do semilunar resultando em mudanças nas cartilagens, no sistema vascular e nos ossos tanto do semilunar quanto do punho.
A URINÁLISE COMO FERRAMENTA DIAGNÓSTICA PARA DOENÇAS METABÓLICAS
Authors: Messias Michele Cristina de Lima , Silva Polliana Nunes da , Amorim Werick Mendes
Published: November 2024

Urinalysis is a non-invasive, cost-effective diagnostic tool widely used in the diagnosis and monitoring of metabolic diseases such as diabetes, kidney diseases, and lipid disorders. This article reviews the significance of urinary biomarkers, including glucose, ketones, proteins, and creatinine, in detecting metabolic alterations. A review of recent studies highlights correlations between these biomarkers and metabolic dysfunctions, emphasizing the role of urinalysis in early diagnosis and patient monitoring. Despite limitations, such as reduced sensitivity for certain pathologies, urinalysis remains an essential tool in clinical practice. Future research should focus on emerging biomarkers and advanced technologies to enhance diagnostic accuracy.
INTRADERMOTERAPIA CAPILAR: BENEFÍCIOS NO TRATAMENTO DA ALOPECIA
Authors: Almeida Elisa Helena Braga de , Machini Erika Regina Souza , Lima Felipe Monteiro
Published: November 2024

This article sought to discuss hair intradermotherapy with the main objective of analyzing the benefits of this technique for treating hair loss, especially in cases of androgenetic alopecia. Intradermotherapy consists of the microinfusion of active ingredients directly into the scalp, aiming to stimulate hair growth and reduce hair loss. This work reviews studies that explore different combinations of substances, such as minoxidil and auxiliary techniques, such as microneedling, as well as innovations in the use of vibrating anesthetic devices to reduce pain. The methodology includes a review of studies that evaluated hair density, reduction in hair loss and patient comfort. The results suggest that intradermotherapy for hair, both alone and combined with other interventions, is effective in increasing density and reducing hair loss, in addition to positively impacting patients' self-esteem. It is concluded that the technique presents itself as a promising alternative in the management of alopecia, as long as it is applied with due professional supervision to minimize adverse effects, such as frontal edema in some cases.
COMPARAÇÃO DE IMPLANTES CILÍNDRICOS E HÍBRIDOS COM INTERFACE GRAND MORSE EM ARCO TOTAL INFERIOR - RELATO DE CASO.
Authors: Manfrinato João Paulo Lavagnoli , Traczinski Adriana , Tassi Júnior Paulo Afonso , Mejia Wesly , Miyasawa Erton Massamitsu , Fontão Flávia Noemy Gasparini Kiatake
Published: November 2024

Objective: the objective of this case report was to compare the clinical and radiographic results of cylindrical implants Titamax® GM (Neodent, Curitiba, Brazil) and hybrid Helix® GM (Neodent), both with Acqua surface, in lower protocol rehabilitation. Materials and Methods: Four parallel implants and one 2 mm infrabony implant were installed in a split mouth model. The implants were subjected to immediate loading and evaluated clinically (stability by resonance frequency analysis) and radiographically (peri-implant bone level). Standardized intraoral radiographic views were performed at baseline (prosthesis installation), 6, 12 and 24 months after prosthesis installation. Results: In the clinical analysis of the Titamax® GM and Helix® GM implants, insertion torques were selected using a ratchet (Neodent Brasil) for all implants (60 N.cm), providing excellent primary stability. The average stability for the Titamax® GM and Helix® GM implants at times T0, T6, T12 and T 24 were 75, 70.5, 76.3, 76.2 and 76.3, 71.3, 76. 5, 76.3 respectively. The average bone remodeling of the 2 Titamax® GM implants was 0.54mm, while the average of the 2 Helix® GM implants was 0.36mm. Conclusion: All implants achieved excellent stability, reaching similar values ​​between the two types of implant design in the 4 times evaluated. In the radiographic analysis of the Titamax® GM and Helix® GM implants, different cervical remodeling rates were found between the measurement times. More long-term studies are needed to determine significant differences between groups.
PERFIL ANTROPOMÉTRICO DE PACIENTES ADMITIDOS NA EMERGÊNCIA EM UM HOSPITAL DE REFERÊNCIA EM DOENÇAS INFECCIOSAS
Authors: Silva Nádia Martins da , Lemos Tatiane Pereira , Santos Joelia Silva dos , Freitas Laura Lúcia Gonçalves Macatrão de Sousa , Araújo Maria Mairla de Abreu , Campêlo Wilma Félix , Santos Ana Angélica Queiroz Assunção , Alves Mariana Barros , Oliveira Ydinara Luttianna Paz de , Pumar Nayara Luana Guillen , Cavalcante Tereza Patrícia , Mendes Ana Luiza de Rezende Ferreira
Published: November 2024

The study of the nutritional status of hospitalized patients has emerged in recent years, with emphasis on screening and nutritional assessment. When the diagnosis and nutritional assessment are carried out at the beginning of hospitalization, it is possible to recognize individuals who are malnourished or at nutritional risk, and thus establish appropriate nutritional therapy. Therefore, the present study aimed to identify the anthropometric profile of patients admitted to the emergency room of a referral hospital for infectious diseases in the city of Fortaleza – CE. This is a cross-sectional, retrospective descriptive study with a quantitative approach. Data were collected from 132 patients admitted to the emergency room of the aforementioned hospital, aged between 18 and 59 years. Of the 132 patients evaluated, 69.7% were male and 30.3% were female. Of these 132 patients, 60.6% were at nutritional risk according to the NRS 2002 nutritional screening, and 79.28% were at normal risk according to BMI. It is concluded in this study that the patients evaluated have a significant percentage of thinness, with prevalence for the diagnosis of malnutrition.