bluuebunny/crossref_metadata_2025 huggingface dataset:
Integración de recursos digitales para el refuerzo pedagógico en el aprendizaje de áreas interdisciplinarias.
Authors: Jiménez Casco Norka Del Rocío , Riera León Marco Antonio , Bonilla Villegas Silvia Isabel , Bonilla Villegas Tania Judith , Zambrano Delgado Manuel Andrés
Published: November 2024

Las Tecnologías de la Información y la Comunicación (TIC) ofrecen nuevas oportunidades para mejorar la calidad del aprendizaje y sirven para acortar la brecha digital en América Latina. Sin embargo, a pesar de los esfuerzos por integrar estas herramientas en las instituciones educativas, los resultados de evaluaciones como las del INEVAL en Ecuador indican que muchos estudiantes no alcanzan niveles básicos de comprensión en diferentes asignaturas. Esto pone de manifiesto la necesidad urgente de innovar en las metodologías de enseñanza y utilizar eficazmente los recursos digitales. El objetivo de este trabajo es proponer estrategias didácticas que incorporen estas tecnologías para enriquecer el refuerzo pedagógico en el aprendizaje interdisciplinario, fomentando un proceso educativo más integral y efectivo. La investigación adoptó un enfoque mixto, combinando métodos cuantitativos y cualitativos para evaluar el impacto de la integración de recursos digitales en el aprendizaje interdisciplinario. Se realizó una revisión exhaustiva de la literatura en bases de datos académicas y se aplicaron métodos estadísticos descriptivos e inferenciales utilizando el software Jamovi. Se administró una encuesta estructurada a 40 estudiantes y se llevaron a cabo entrevistas semiestructuradas con 4 docentes para explorar percepciones y experiencias sobre la efectividad de las TIC en el aprendizaje. Los resultados indican que los estudiantes prefieren una combinación de métodos tradicionales y digitales, valorando especialmente la efectividad de estos últimos en su aprendizaje. La estrategia didáctica propuesta, validada por expertos, tiene potencial para mejorar el refuerzo pedagógico en áreas interdisciplinarias.
Mejora continua en empresas de agua potable a través del modelado de procesos: caso de estudio EP-EMAPAR
Authors: Nelson Patricio Muñoz Rubio , Viñan Carrera Javier Alonso , Dillon Juan Francisco , Ricaurte Coto Bolívar Alexis , Arias Salazar Daicy Paola
Published: November 2024

La investigación que se presenta está basada en la implementación del modelado de procesos institucionales con un enfoque en la mejora continua en empresas públicas de servicios de agua potable y alcantarillado, una empresa pública enfocada en la gestión de servicios relacionados con el suministro de agua potable y el tratamiento de aguas residuales. a través de un análisis detallado, se examina cómo empresas públicas de servicios de agua potable y alcantarillado adoptó un enfoque sistemático en la investigación cualitativa para mapear y modelar sus procesos institucionales, con el objetivo de identificar y corregir ineficiencias, así como de capitalizar oportunidades de optimización. este proceso de transformación operativa no fue solo una iniciativa puntual, sino parte de un compromiso con la mejora continua, una estrategia que la empresa integró en su cultura organizacional. El artículo explora cómo, mediante la aplicación de herramientas para un control estadístico de los procesos administrativos de las empresas públicas de servicios de agua potable y alcantarillado encaminada a la metodología de la gestión de procesos de operaciones internas. este enfoque en la mejora continua permitiría a las empresas implementar cambios graduales pero sostenibles, que resulten en una mayor satisfacción del cliente y en una operativa más ágil y adaptable, preparándola para enfrentar desafíos futuros con mayor proactividad y flexibilidad.
La planificación presupuestaria y su incidencia en la gestión institucional de la Coordinación Zonal 4 de la Secretaria de Educación Superior, Ciencia, Tecnología e Innovación período 2022.
Authors: Cevallos Loor Ana Karina , Véliz Briones Vicente
Published: November 2024

Este estudio analiza la ejecución presupuestaria de la Coordinación Zonal 4 de la Secretaría de Educación Superior, Ciencia, Tecnología e Innovación durante el año 2022, abordando su impacto en la gestión institucional. Ante la problemática de la falta de control y planificación adecuada en la ejecución de los recursos, se investigan las relaciones entre la planificación presupuestaria y el cumplimiento de los objetivos institucionales. La metodología empleada fue no experimental, de tipo cuantitativa y transversal, con un enfoque en la recolección de datos numéricos y el análisis descriptivo de la información numérica y documental, al realizar una revisión a los reportes de ejecución del presupuesto del año 2022 para conocer la eficacia y eficiencia en la gestión pública presupuestaria. Los resultados indicaron que se ejecutó un 98,68% del presupuesto planificado, considerándose una gestión eficiente. Esta investigación destaca la importancia de los procesos en la planificación presupuestaria y la ejecución de los recursos, como aspecto esencial en la gestión pública.
Innovación educativa: el impacto de la inteligencia artificial en el aprendizaje en la educación en Ecuador.
Authors: Gonzáles Torres Luis Miguel , Plúas Castro Ana Eufemia , Lamilla Pita Angie Rosmery , Plúas Castro Margarita Mercedes
Published: November 2024

La globalización y el avance tecnológico han abierto nuevas posibilidades en la educación ecuatoriana, incorporando la Inteligencia Artificial (IA) como una herramienta valiosa. A pesar de que su integración ha comenzado en instituciones de educación superior, su uso en niveles básicos aún es limitado, lo que resalta la necesidad de explorar cómo la IA puede transformar el aprendizaje, especialmente en un contexto donde existen brechas tecnológicas. El objetivo de esta revisión fue identificar hallazgos sobre el impacto de la IA en el proceso educativo en Ecuador. Se adoptó un enfoque cualitativo mediante el ATD, definiendo objetivos claros que incluyen la identificación de tendencias, la evaluación de beneficios y desafíos relacionados con la implementación de la IA en la educación. Para llevar a cabo esta revisión, se realizó una búsqueda exhaustiva en bases de datos académicas reconocidas, como Scopus y Google Scholar, aplicando criterios de inclusión y exclusión para asegurar la relevancia de los estudios seleccionados. Los artículos revisados fueron analizados de forma crítica, utilizando técnicas de codificación para organizar la información y triangulación de datos para validar los hallazgos. Los resultados indican que la IA tiene el potencial de transformar el aprendizaje en Ecuador al personalizar la enseñanza y facilitar el acceso a recursos educativos. Sin embargo, también se identifican importantes desafíos éticos que deben ser abordados para garantizar que la educación sea inclusiva y efectiva. Para maximizar los beneficios de la IA, es esencial implementar su uso de manera responsable y adaptada a las necesidades del sistema educativo ecuatoriano.
Estrategias para mejorar la enseñanza de la factorización en el aula: abordando las dificultades comunes de los estudiantes.
Authors: García Gómez Eva Jenniffer , Puyol Cortez Jorge Luis
Published: November 2024

La factorización es un pilar fundamental en álgebra que consiste en descomponer expresiones algebraicas en factores más simples para facilitar su comprensión y aplicación. Sin embargo, enseñar este tema enfrenta diversos desafíos significativos desde la identificación de patrones hasta la memorización de fórmulas hasta la aplicación de conocimientos en contextos prácticos.Para abordar estas dificultades este estudio analizo estrategias metodológicas que faciliten la enseñanza de la factorización, como el aprendizaje colaborativo que fomenta la interacción grupal, el aprendizaje significativo que conecta los conocimientos previos con los nuevos conceptos y el aprendizaje individualizado que se adapta a las necesidades específicas de cada estudiante. La investigación se fundamenta en una revisión sistemática de estudios realizados entre el 2020-2024, identificando así prácticas innovadoras. Los resultados revelan que estrategias como la retroalimentación personalizada y el trabajo en equipo no solo incrementan la motivación estudiantil, sino que también optimizan el rendimiento académico. Este enfoque sugiere caminos para modernizar la enseñanza, promoviendo un aprendizaje más dinámico y significativo.
Target Value Delivery: A Simulation
Authors: Desmarais Dominic , Alves Thais da C. L.
Published: November 2024

Question: How can a facilitator teach the fundamental principles of Target Value Delivery (TVD) using a simulation emphasizing the importance of integrating contextual information from project partners along the value chain to establish target costs, select design solutions, and improve the delivery of value for owners?

Purpose: The purpose of this paper is to provide practitioners and academics with a simulation to help illustrate the difference between traditional siloed project delivery and an integrated approach using Target Value Delivery principles during the design phase of construction projects. The simulation was developed in response to industry practitioners who expressed the need to demonstrate the value of engaging contractors early in the delivery process and to illustrate the value they bring to the Target Value Delivery (TVD) process.

Method: The simulation presented was developed from an existing simulation, i.e., the Silo Game (Alves 2022) and the first author’s experience in playing the Silo Game and contrasting it with his own experience. A literature review of similar simulations was conducted to identify gaps and improve relevancy. The Simulation was tested with practitioners for relevancy, ease of comprehension, and process outcomes.

Findings: The Target Value Delivery simulation is useful for teaching the principles of collaborative decision-making versus siloed decision-making in design. This simulation enhances the experience of participants by showing the value brought to the design process by constructors, integrating their understanding of market conditions, risks and other project contextual information.

Limitations: The simulation emulates a process based on the experiences of the first author and the structure provided by the Silo Game. The simulation goes beyond design work; it incorporates constructors’ input and construction context knowledge but does not include building operators, maintenance, and decommissioning as a part of Whole Life Target Value Design (Tommelein et Ballard 2016). This paper is one additional step towards the creation of further Target Value Delivery simulations.

Implications: The simulation is documented to be broadly used to teach key principles of Target Value Delivery and should be used to develop future simulations.

Value for practitioners: The simulation offers a hands-on and simple way to engage participants to address questions, trade-offs, and procedural elements involved in Target Value Delivery. It can be added to a training workshop or classroom.

Keywords: Target Value Delivery (TVD), Target Value Design (TVd), collaboration, integrated project delivery, value, simulation, game, Target Costing

Paper type: Full paper
Sex Determination and Length and Stature Estimation from The Sternum Bone
Authors:   Student research committee, Faculty of Nursing, Arak University of Medical Sciences, Arak, Iran., Nasab Seyed Hamed Molaei
Published: November 2024

Background: Determining the sex is the first and most important step in determining biological and anthropological characteristics and is an essential element in starting a medical research work. In cases where we are dealing with unidentified skeletons of individuals, to determine gender and characteristics such as age, height, and identity, forensic medicine has intervened and plays a significant role in determining the mentioned characteristics. Materials: This study was performed on 61 three-dimensional CT scan images of the sternum, which included 38 males (62%) and 23 f
Outcomes of Cochlear Implantation in Patients with Autoimmune Inner Ear Disease: A Systematic Review
Authors:   Department of Surgical Specialties, College of Medicine, Majmaah University, Majmaah 11952, Saudi Arabia, Alanazi Hani
Published: November 2024

Autoimmune Inner Ear Disease (AIED) presents unique challenges for hearing restoration, and the efficacy of cochlear implantation (CI) in patients with AIED has been a topic of clinical interest. This systematic review sought to synthesize outcomes of CI in this patient population. Methods: A comprehensive search was conducted across seven major databases, including MEDLINE, EMBASE, Web of Science, Scopus, Cochrane Library, CINAHL, and PsycINFO, to identify studies that evaluated the results of CI in AIED patients, with observed bias across different domains and certainty bias assessment being undertaken using the ROBINS-I and GRADE tools respectively. Results: The 6 included studies collectively indicated that CI is a generally effective treatment modality for AIED, often yielding outcom
The Nocturnal Nexus: A Systematic Review of the Association Between Night-time Asthma and GERD Incidence
Authors:   Department of Internal Medicine, College of Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia, Alhajery Mohammad A.
Published: November 2024

Background: The association between nocturnal Asthma and gastroesophageal reflux disease (GERD) has been widely researched, yet its complexities remain only partially understood. This systematic review aims to elucidate the connection between night-time asthma and the incidence of GERD, with a focus on nocturnal GERD's impact on respiratory function. Methods: Adhering to PRISMA guidelines, a comprehensive search of eight databases- PubMed, EMBASE, Cochrane Library, Web of Science, Scopus, PsycINFO, CINAHL, and Google Scholar was performed to collect studies examining the link between nocturnal Asthma and GERD. Selection criteria were established a priori, and data from relevant studies were extracted and assessed for methodological quality. Results: Our review synthesized data from eleven studies that consistently showed a link between nocturnal GERD and Asthma. Night-time GERD episodes were found to correlate with increased respiratory load and a higher risk of developing r
Prevalence of Symptoms of Bladder Pain Syndrome/Interstitial Cystitis Among Adult Females in the Saudi Arabia
Authors:   Department of Surgical subspecialty, College of Medicine, Majmaah University, Al-Majmaah 11952, Saudi Arabia, Almutairi Sulaiman
Published: November 2024

Introduction: Bladder pain syndrome/interstitial cystitis (BPS/IC) is characterized by repeated pain, pressure, or discomfort in the bladder and pelvic area, and presents both diagnostic and therapeutic challenges for clinicians and researchers because of its enigmatic and poorly comprehended nature. The purpose of this study was to identify the prevalence of bladder pain syndrome/interstitial cystitis in a tertiary care center in the Central region of Saudi Arabia. Methodology of the study: The study shall be a cross-sectional survey conducted at King Khalid Hospital, Majm
Impact of Covid 19 On Sense of Coherence: A Cross-Sectional Study
Authors:   College of Medicine, Majmaah University, Al-Majmaah, Saudi Arabia., Alsuhaim Ali
Published: November 2024

Objective: The primary aim of this research was to comprehend SOC's role in psychological responses to the epidemic. Methodology: This descriptive cross-sectional research was conducted among residents of the Riyadh Region. The survey was conducted online in June 2020 via Google Forms. The current study examined the data from 873 people who completed the Directed Questions Scale (mean age: 45.1 8.3 years; 376 males; 497 females). Well-being was assessed using the WHO-5 scale, developed by Bech and colleagues, while the Antonov sky scale was used to measure the sense of coherence. Data was measured using SPSS Statistics. Mean, ANOVA and regression analysis were used to chara
The Association between Anxiety and Asthma in Asthmatic Patients at King Abdulaziz University Hospital in Jeddah, Saudi Arabia
Authors:   Associate Professor, Child and Adolescent Psychiatrist, Faculty of Medicine, King Abdulaziz University, Jeddah Saudi Arabia, Alfakeh SulhiA.
Published: November 2024

Background: In prior research, the frequency of anxiety among asthmatic patients has been examined. However, the focus of our study is to explore the relationship between the severity of asthma and anxiety. Objectives: This study set out to determine how anxiety and asthma severity related to each other in patients receiving care at King Abdulaziz University Hospital in Jeddah, Saudi Arabia. Methods: This cross-sectional study took place at a tertiary care hospital in Jeddah, Saudi Arabia from 2021 to 2023, with approval from King Abdulaziz University Hospital's biomedical ethical committee (Reference No. 235-22). The study included 400 asthma patients, aged 14 or older, and based on PFT results. Patients with respiratory symptoms but not diagnosed with asthma were excluded. Information on the demographics of 185 asthma patients, as well as their asthma severity, anxiety levels, and GAD-7 scores were gathered. Results: The main results of the study showed that out of the total sample (n=185) 17.8\% (p = 0.028) of the pa
The role of obesity in increasing the risk of hypertension in the elderly
Authors: Suprapto Suprapto , Salah Jalal Zhian
Published: November 2024

Introduction: Obesity has been identified as one of the main risk factors contributing to the increase in hypertension cases, particularly among the elderly. This study aims to analyze the role of obesity in increasing the risk of hypertension in the elderly by examining the relationship between body mass index (BMI) and blood pressure.
Methods: This research uses a cross-sectional design, an analytical study that studies the causes of incidents or incidents. Data collection uses a questionnaire. The sample in this study was 64 elderly hypertensive patients in the working data analysis using the chi-square test.
Results: This study's results indicate a relationship between obesity (p=0.000) and the incidence of hypertension in the elderly working. The results showed that the elderly with obese status had a significantly higher risk of hypertension compared to the elderly with average weight.
Conclusions: These findings underscore the importance of preventing and treating obesity in the elderly to reduce the risk of hypertension and other health complications. This research is expected to contribute to formulating health policies and hypertension prevention programs among the elderly through a practical weight management approach
The effectiveness of listening to memory songs in reducing depression in the elderly
Authors: Kurni Menga Maria , Binti Ishak Ismarulyusda , Wibowo Wibowo , Nurhanifah Dewi
Published: November 2024

Introduction: Depression is a prevalent psychological issue among the elderly, often exacerbated by isolation and various physical and mental health challenges. As a non-pharmacological intervention, music therapy has shown potential in alleviating depressive symptoms. This study examines the effectiveness of listening to nostalgic songs in reducing depression among elderly residents.
Methods: This study used a pre-experimental design with a one-group pretest-posttest approach. A total of 28 elderly participants who met the inclusion criteria were selected from a population of 43 individuals. The participants underwent a 20-minute intervention of listening to nostalgic songs, conducted six times over two weeks. Depression levels were measured using the Geriatric Depression Scale-15 (GDS-15) before and after the intervention. Data analysis was performed using the Wilcoxon test in SPSS version 25 to determine the significance of the intervention's effects.
Results: The analysis revealed a significant reduction in depression levels after the intervention, with a p-value of 0.000 (p < 0.05), indicating a statistically significant difference between pretest and posttest depression scores. This finding suggests that nostalgic music therapy effectively reduces depressive symptoms among elderly participants.
Conclusions: The results support the hypothesis that listening to nostalgic songs can serve as an effective intervention for reducing depression in the elderly. Nostalgic music therapy can be considered a beneficial non-pharmacological approach to enhancing the psychological well-being of elderly individuals. Future studies with control groups and larger sample sizes are recommended to validate these findings further
Inteligencia artificial en la educación: Modelo de lenguaje de gran tamaño (LLM) como recurso educativo
Authors: Rodríguez Fernández Laura , Fernández Mena Ana Laura , Torres Magaña María Patricia , Rodríguez Magaña Manuel Antonio , Rodríguez Fernández Manuel Antonio
Published: November 2024

La inteligencia artificial (IA) está revolucionando la educación, y uno de los desarrollos más prometedores es el uso de modelos de lenguaje de gran tamaño (LLM). Los LLM son sistemas avanzados de IA que comprenden y generan lenguaje humano procesando grandes cantidades de datos. Estos modelos utilizan técnicas de aprendizaje profundo para mejorar el procesamiento del lenguaje natural.
En el contexto educativo, los LLM se utilizan para crear chatbots y asistentes virtuales que pueden ayudar a los estudiantes respondiendo preguntas, proporcionando explicaciones y facilitando el aprendizaje personalizado. Estos modelos también pueden generar contenido educativo nuevo, evaluar trabajos, y adaptar materiales de estudio a las necesidades individuales de cada estudiante.
El impacto de los LLM en la educación incluye una mayor accesibilidad al conocimiento, la personalización del aprendizaje y el apoyo continuo a los estudiantes, lo que contribuye a una experiencia educativa más eficiente y enriquecedora.
Sistema para el análisis de datos y toma de decisiones del IFAT
Authors: Villanueva Guzmán Jorge Cein , Gómez Domínguez Ezequiel , Arias Peregrino Víctor Manuel , Priego Clemente Antonio , Olán Pérez Giovanni de Jesús
Published: November 2024

Los sistemas de información se desarrollan para distintos fines, dependiendo de las necesidades de los usuarios humanos y la empresa. Los sistemas de información administrativa producen información que se utiliza en el proceso de toma de decisiones[1]. El desarrollo de un sistema de información administrativa en ambiente web para los procesos de negocio de una empresa o institución es actualmente indispensable y para el Instituto para el Fomento de las Artesanías de Tabasco (IFAT) no es diferente. El objetivo fue crear un sistema para analizar la información sobre los procesos de compra y venta de productos artesanales creadas por artesanos tabasqueños.
Para lograr esto, se realizaron diversas entrevistas para identificar las necesidades directamente del personal involucrado. Después de identificar las necesidades, se obtuvieron los requerimientos mediante la aplicación de metodologías y técnicas de análisis y diseño. Posteriormente se desarrollaron los módulos necesarios, se realizaron pruebas y se desplegó el sistema. El resultado final fue una herramienta funcional que cumplió con los requerimientos de la dependencia.
Para el desarrollo del sistema se optó por un framework de desarrollo web. Se determinó emplear el marco de trabajo Yii[2] en su versión 2.0, que tiene como base el lenguaje de programación del lado de servidor PHP [3], cuya versión utilizada es la 8.0, para el diseño de interfaz de usuario se utilizó el marco de trabajo Bootstrap[4] en su versión 5.3 el cual permite que las interfaces sean accesibles desde cualquier dispositivo con conexión a internet. La base de datos es relacional[5]  y el sistema de gestión de base de datos es MariaDB[6].
Sistema de pase de lista por medio de código QR
Authors: Canico Hernández Adan , Medina de la Rosa Porfirio , Cortés Sánchez Oscar
Published: November 2024

Los sistemas de cómputo juegan un papel muy importante dentro de la educación por generar herramientas poderosas y alternas que agilizan los procesos internos en los que se ven involucrados los alumnado en los procesos académicos y sociales, además ayudan a las áreas involucradas a monitorear el desempeño de cada uno de los procesos, el sistema de pase de lista es una herramienta que permite la generación de reportes e información relacionada con la asistencia de los alumnos en cada uno de los eventos académicos de la institución con la finalidad de llevar un histórico de asistencia para que sea consultado y derive la toma de decisiones según sea la necesidad.
El sistema de registro de asistencias es para eventos académicos internos como externos utilizando código QR como medio de registro para los asistentes a los eventos del Tecnológico Nacional de México Campus Ciudad Serdán, los asistentes en cada uno de los distintos eventos que se realizan, deben registrarse a través de un sitio web, en el cual están publicados todos los eventos que se llevaran a cabo por el Instituto, al momento del registro la plataforma genera un gafete a cada aspirante, este gafete le permitirá el acceso a los distintos eventos, posteriormente la asistencia se registra mediante una aplicación móvil la cual lee el código QR que se encuentra en el gafete y registra la participación en la base de datos del sistema de pase de lista, posteriormente el sistema es capaz de generar las listas de asistencia y las constancias de participación en formato PDF.
Con la implementación del sistema de pase de lista mediante QR, se representa una evolución significativa en la gestión de asistencia en entornos educativos y empresariales. Este sistema no solo moderniza el proceso de registro de asistencia, sino que también ofrece múltiples beneficios que mejoran la eficiencia operativa y la precisión de los datos recopilados.
Deteksi Wajah dalam Foto Menggunakan Teknologi Visi Komputer
Authors: Supiyandi Supiyandi  , Tegar Ardiansyah  , Sri Putri Balqis  , Jundi Haqqoni  , Salsa Nabila Iskandar
Published: November 2024

This study discusses the implementation of computer vision technology for face detection in photos using two sample images with variations in lighting and face pose. The developed system combines the Viola-Jones algorithm and Convolutional Neural Networks (CNN) to enhance resilience against lighting and face orientation variations. Experimental results show high accuracy even with only two sample images. This research also develops preprocessing techniques to handle extreme lighting conditions and demonstrates efficient implementation using Python and OpenCV.
Evaluasi Kinerja Model RNN & LSTM untuk Prediksi Magnitude Gempa di Indonesia
Authors: Fazira Rara , Yudistira Dimas , Sofinah Harahap Lailan
Published: November 2024

Indonesia di kawasan Cincin Api Pasifik, yang dikenal memiliki aktivitas seismik yang sangat tinggi dengan ribuan gempa bumi yang terjadi setiap tahunnya. Penelitian ini bertujuan untuk menganalisis kinerja Recurrent Neural Network (RNN) dan Long Short-Term Memory (LSTM) dalam memprediksi magnitudo gempa bumi menggunakan data historis yang diambil dari Kaggle. Data tersebut mencakup rentang waktu dari November 2008 hingga September 2022, yang telah melalui proses normalisasi serta perpecahan menjadi data pelatihan dan pengujian. Model evaluasi kinerja dilakukan dengan menggunakan metrik Mean Absolute Error (MAE) dan Root Mean Square Error (RMSE). Pada uji coba pertama, LSTM menunjukkan performa terbaik dengan nilai MAE 0.6226 dan RMSE 0.7731 pada data pengujian, lebih baik dibandingkan RNN yang mencatatkan MAE 0.6271 dan RMSE 0.7831. Sebaliknya, pada uji coba kedua, RNN unggul dengan nilai MAE 0.5583 dan RMSE 0.7008, sementara LSTM memiliki MAE 0.5822 dan RMSE 0.7132. Hasil ini menunjukkan bahwa LSTM lebih cocok untuk menangani pola data temporal yang kompleks, sedangkan RNN lebih andal pada dataset dengan pola yang lebih sederhana. Penelitian ini diharapkan dapat menjadi pijakan dalam pengembangan sistem prediktif untuk mitigasi risiko bencana gempa bumi di Indonesia.
Rancang Bangun Alat Peraga Sistem Otomasi Pengisian Tangki Berbasis PLC
Authors: Cahyanto Septian Eko , Priyanto Kaleb , Kurniadi Ninda , Baihaqi Setyo Bhahak Fendi , Gojandra Farda Pega Libra , Kristiawan Ruben Bayu , Enita Sarai , Putra Fajar Waskhita , Haikal Haikal
Published: November 2024

Guna mendukung proses pembelajaran sistem otomasi di sebuah lembaga pendidikan dibutuhkan sebuah alat peraga yang mudah dipelajari dan dimengerti oleh mahasiswa. Tujuan pembuatan alat peraga ini agar peserta didik mengetahui dan dapat mengimplementasikan proses kerja sistem otomasi di industri menggunakan media yang disimulasikan dalam bentuk alat peraga. Alat peraga yang digunakan adalah integrasi PLC-HMI pada aplikasi pengisian tangki air. Alat peraga dirangkai dengan  menggunakan PLC dan HMI merk Omron dengan software CX-Programmer dan NB-Designer. Rangkaian wiring alat peraga PLC-HMI disusun secara teratur dan sistematis agar mudah dibongkar pasang dan disesuaikan dengan diagram wiring oleh peserta didik. Program ladder pada software CX-Programmer didesain dengan menerapkan logika dasar, instruksi dan beberapa fungsi program yang sesuai dengan level kompetensi dasar pembelajaran PLC. Desain tampilan dan fungsi HMI dirancang menggunakan software NB-Designer yang diintegrasikan dengan program ladder, serta disesuaikan penggunaan alamat I/O nya. Wiring alat peraga berfungsi secara normal sehingga seluruh perangkat dapat terkoneksi dengan baik. Program ladder yang telah dirancang dapat berfungsi optimal dan tidak didapati error pada hasil kompilasi. Desain HMI dapat berfungsi secara efektif untuk monitoring proses maupun saat berfungsi sebagai programmable terminal. Secara keseluruhan hasil rancang bangun alat peraga simulasi sistem pengisian tangki air telah diuji coba dan berfungsi sesuai rancangan yang telah ditetapkan.
ЛАЙФХАКИ З УКРАЇНСЬКОЇ МОВИ З УСІХ ВИДІВ ПЕРЕВІРНИХ РОБІТДЛЯ 7 КЛАСУ НУШ (І СЕМЕСТР)
Authors: Свінтковська Світлана , Верготі Лідія , Левинська Марія
Published: November 2024

Укладено відповідно до модельних навчальних програм: «Українська мова. 7–9 класи» для закладів загальної середньої освіти (авт. Голуб Н.Б., Горошкіна О.М.):«Українська мова. 7–9 класи» для закладів загальної середньої освіти (автори: Заболотний О. В., Заболотний В. В., Лавринчук В. П., Плівачук К. В., Попова Т. Д.)
Block Chain Based Automated Multiresolution Channel Allocation of IoT
Authors: Javaid Muhammad Toseef , Naveed Hamza
Published: November 2024

This research includes the growing popularity of the Internet of Things (IoT) in recent years. Internet of Things (IoT) security and privacy remain a major challenge, mainly due to IoT networks' massive scale and distributed nature. Blockchain-based approaches provide decentralized security and privacy, yet they involve significant energy, delay, and computational overhead unsuitable for most resource-constrained IoT devices. The Internet of Things is a real-time application for high data rates, and blockchain technology is real-time data storage technology. It is an effective way to transfer data from the communication node to the system in the IoT network using blockchain technology, the most recent each IoT node discovers and adjusts for better communication. It is necessary to have the confidence to integrate/maximize the channel's output of the wireless sensor networks' features. The change can be implemented. However, from time to time the channel for the information does not learn to transmit to the protocol. Changing the channel characteristics in these networks like IoTs for achieving and increasing the data transmission and network throughput of wireless sensor networks. Therefore, this research recommends a completely computerized nature-understanding and by-origin procedure designed which may completely automate data transfer communication between multiusers by completely applying channel time spectral and time attributes of wireless network and store the data through blockchain technology then fetch data from any node when you want. For this purpose, designed Protocol channel swapping, data storage from time to time through blockchain technology, and following the shortest path for communication. The planned designed protocol of this WSN is rare as it is understanding and proposed the issue to maximize the WSN intensity established upon the WSN network metrics. This network also permits every node inside that IoT to regularly identify the adjoining network station characteristics so that they will exchange networks which means swapping adjoining channels to realize maximum data transfer.
Heart Disease Prediction using Machine Learning Techniques
Authors: Gad Raghad Ahmed , Abdelshakour Salma Saad , Eldouh Ahmed A.
Published: November 2024

Throughout their growth, artificial intelligence and machine learning have shown beneficial in multiple areas, particularly with the huge amount of data that has been generated recently. Making quicker and more accurate decisions regarding illness forecasts may be more dependable. The model can be used in the visualization and analysis of diseases. The article compares between different machine learning algorithms. In addition to numerous machine learning techniques, the UCI dataset is employed. Testing was done on Logistic Regression, Naïve Bayes, Support Vector Machine, Random Forest and Decision Tree algorithms. After performing the mentioned algorithm, it indicates that the decision tree performs better than another algorithm, its an accuracy of 98.54%.
Note for Neutrosophic Incidence and Threshold Graph
Authors: Fujita Takaaki
Published: November 2024

Uncertain Graph Theory has emerged to model the uncertainties present in real-world networks. An Incidence Graph represents the connections between vertices and edges using incidence pairs to illustrate relationships. A Threshold Graph is defined by vertex weights and thresholds, forming cliques or independent sets. We explore the concepts of the Pentapartitioned Neutrosophic Incidence Graph, Turiyam Neutrosophic Incidence Graph, Pentapartitioned Neutrosophic Fuzzy Threshold Graph, and Turiyam Neutrosophic Fuzzy Threshold Graph.
Comparison of SVM, Naive Bayes, and ELM Models in Plant Growth
Classification
Authors: Muflih M. , Ratna Silvia , Budiman Haldi , Syapotro Usman , Hamdani Muhammad
Published: November 2024

This study investigates the application of machine learning models to predict plant
growth milestones based on environmental and treatment data. The dataset comprises
categorical variables such as soil type, water frequency, and fertilizer type, alongside numerical
variables including sunlight hours, temperature, and humidity. Preprocessing involved one-hot
encoding for categorical variables and standard scaling for numerical features. The models
employed were Support Vector Machine (SVM), Naive Bayes, and Extreme Learning Machine
(ELM). The baseline SVM model achieved an accuracy of 58.97%, and hyperparameter tuning
using GridSearchCV did not improve this performance, maintaining the accuracy at 58.97%.
The Naive Bayes model achieved an accuracy of 51.28%, while the ELM model had an
accuracy of 43.85%. Among the models, the SVM demonstrated the highest accuracy, though
further improvement is required for practical implementation. The findings underscore the
importance of selecting appropriate machine learning models and optimizing their parameters
to enhance prediction accuracy in agricultural applications. Despite the SVM's superior
performance in this context, continued refinement is essential to address the challenges posed
by predicting plant growth milestones accurately.
Evaluation and Comparative Analysis of Feature Extraction Methods on
Image Data to increase the Accuracy of Classification Algorithms
Authors: Iqbal Rachmad , Kurniawan Tri Basuki , . Misinem , Negara Edi Surya , Sutabri Tata
Published: November 2024

Manual selection of fresh fruit has been identified as a significant challenge for the agricultural
sector due to its time-consuming nature and potential for inconsistent categorization. This process
requires human labour to visually inspect and sort fruits, leading to variability and inefficiencies
in the sorting process. This research proposes a low-cost alternative using intelligent fruit selection
systems based on computer vision techniques to address these issues. These systems aim to
automate the process of fruit selection, improving efficiency and consistency in categorizing fruits
such as apples, bananas, and oranges. A critical step in developing such intelligent systems is the
feature extraction process. Feature extraction is essential in classification, especially for data
sources in the form of images. It involves identifying and isolating relevant information from the
images that classification algorithms can use to distinguish between different fruit categories. If
the feature extraction process fails to capture the correct information, the performance or accuracy
of the classification algorithm will be negatively impacted. This research compares three different
methods for extracting features from fruit images to determine which method yields the highest
accuracy for fruit classification. The feature extraction methods evaluated were Grayscale Pixel
Values, Mean Pixel Value of Channels, and Extracting Edge Features. The classification algorithm
used in this research is the Convolutional Neural Network (CNN) algorithm. CNNs are well-suited
for image classification tasks due to their ability to learn hierarchical feature representations from
the input images automatically. By comparing the performance of the CNN classifier using the
three different feature extraction methods, this research aims to identify the method that provides
the highest level of accuracy in classifying fruit images. By conducting this comparative analysis,
the research provides insights into the most effective feature extraction techniques for improving
the performance of computer vision-based fruit selection systems, ultimately contributing to more
efficient and consistent fruit categorization in the agricultural sector. The result revealed that the
Grayscale achieved the highest validation accuracy (99.94%) and the lowest validation loss
(0.44%).
The effect of wattpad application towards students' reading comprehension in report text (An Experimental Study at the Tenth Grade Students of SMAN 2 Malingping Lebak Banten in the Year Academic 2023/ 2024)
Authors: Padillah Anisa , Sudirnab Ade , Novari Ari Fajria
Published: November 2024

The aim of this research is the significant effect of the Wattpad application significantly improves the reading comprehension abilities of class X students at SMAN 2 Malingping. Using a pre-test and post-test group design, the methodology used is quasi-experimental, and the research methodology is quantitative. The population of this research was 94 students, and the sample was 60 students. In analyzing the data, researcher used achievement tests with SPSS 25 statistical computing to analyze hypothesis tests. Researcher obtained tcount results (0.285) and two-sided significance = 0.465 < α 0.05. From this data it can be interpreted that there is a significant difference between the two groups in obtaining scores, because the result is a significant value grether than 0.05, which means Ha is accepted. Therefore, the researcher concluded that the application of Wattpad had a good role in students' reading comprehension skills of report texts. Apart from that, the Wattpad application, apart from being effective in learning to read, can also be used as a medium for reading online books because the Wattpad application has free space for communication between teachers and students as well as between students and other teachers use the comments column provided.
https://www.ijspe.com/archive/vol-4-no-6-june-2022
Authors: Vincent Nix Jerry , Craig Lee Cherry
Published: November 2024

Despite its importance in developing literacy, handwriting often receives scant attention during teacher training. The researcher utilized a mixed-methods approach implementing a two-phase sequential design to investigate teacher perceptions of preservice training in handwriting, as well as the provision of handwriting instruction across Texas schools. Despite reporting little or no handwriting instruction during training, teachers agreed that it is an important component within the literacy continuum and expressed concerns about a lack of district-level support for the subject, as well as concerns regarding implementing handwriting into a virtual curriculum.
Congenital Abnormalities: Using the Parent Evaluation of Developmental Status (PEDS) Screening Instrument in a Displaced Amazonian Community of Peru
Authors: McCrary Donna , Dyer Jenifer
Published: November 2024

Reducing developmental delay and congenital anomalies has become a primary focus for improving conditions for children and families in developing countries. With decreased infant and child mortality, the occurrence of developmental delays and disabilities has increased. Consequently, the prevalence of developmental issues is larger in developing countries. This study focused the rate of congenital abnormalities among young children in a displaced Amazonian community of Peru. Information was gathered on mothers’ perceptions of their child’s development using the Parents Evaluation of Developmental Status (PEDS) survey instrument.
“Role-play” Appling to the Social Work Teaching: Learning with Multiple Perspectives
Authors: Hung Chien-Hui
Published: November 2024

The purpose of this study is to present a teaching model. The construction of this model is based on the concept of "Reflecting Team" and combined with role-play on teaching social work courses. “Reflecting team” in family therapy is a model to break the hierarchical relationship between the “expert-patient” of traditional psychological therapy, creating a more open and equal dialogue space between the therapist and family members. Through the dialogue process, different voices can be displayed and multiple constructions can be realized. The researchers cited the concept of “reflecting team” and applied multiple role-plays including the families, social workers, supervisors, and observers, to allow students to work together as a corresponding team of “teaching and learning”. In the form of action research, the cyclical actions of course actions, reflections, and corrections are performed. The research method is conducted in the form of “action-reflection” which is a cycle between each other. It collects information on students’ learning experiences, group reports and classroom observation records. After reading and reviewing data repeatedly, the researcher analyzed these data with qualitative research method. Finally, according to the implementation process, write results and suggestions. The study finds that this model of teaching effectively enhances students' learning motivation; through the roles-playing and observations of different roles, it also opens up new perspectives and comprehension of students; at the same time, the exercise allowed students to have a deeper understanding of their own learning. On the other hand, in the process of teaching "action-reflection," the researcher ponders how the teacher's personal view frame affects the student's "seeing" and discovering that the student is actually the teacher's best teaching partner.
'Art and Culture for whom? Online Learning Approaches'
Authors: Moura Anabela , Moreira Raquel
Published: November 2024

This chapter discusses how the concepts of art and culture are developed through online approaches in a Higher Education Institution in Portugal and examine how cultural learning of art students can improve their sense of identity and experiential knowledge of different cultural contexts, by using the internet for educational purposes. By using online approaches students, researchers and teachers from different countries can learn a lot about their own situation by sharing their experiences and reflecting at how others have dealt with the same problems,despite of the cultural differences, there is a real shared culture which revolves around common interests. The projects presented in this chapter show the numerous potentialities of online approaches, as they can help to increase access to information, allow for closer contacts with other people close and/or far away. In addition to these positive aspects, in the projects exposed, the internet was at the service of a community of students in a situation of collective learning. Participants also concluded that the use of the internet allows the creation of virtual communities and social networks, building new and wider opportunities for contact with cultural diversity and for the civic participation of individuals in contemporary society and cultural communication.
An Observation of Outcome in Association with Spontaneous Onset of Labor and Induced Labour of Primigravida at Term
Authors: Dr. Jannatul Ferdous  , Dr. Mohammad Mostafizur Rahman
Published: November 2024

Introduction: Labour is a usual physiological process considered by progressive rise in frequency, intensity and duration of uterine contractions resulting in effacement and dilatation of the cervix with descent of the fetus over the birth canal. Initiation of labour is defined as iatrogenic stimulation of uterine reductions to cause the delivery of fetus before the onset of spontaneous labour.
Aim of the study: To observe the outcome in association with spontaneous onset of labor and induced labour of primigravida at term.
Methods: This cross-sectional study was conducted in the Department of Obstetrics and Gynecology in Ashiyan Medical College Hospital, Barua Khilkhet, and Dhaka, Bangladesh during the period from January 2018 to December 2018. Initially, all pregnant mothers at term (410/7 – 416/7 Weeks) were enrolled by purposive sampling. Thereafter, they were scrutinized according to the eligibility criteria. Finally, 80 participants were grouped in each category; namely spontaneous labor group. Thereafter, they were explained regarding the study procedure and informed written consent was charted on the partograph. A structure data sheet was used to obtain socio-demographic profile, obstetric profile, maternal and neonatal outcome profile were recorded using a pre structured, peer reviewed, interview and observation-based data collection sheet. All data were recorded, managed and analyzed using software Statistical Package for Social Science (SPSS) version 20.
Level of Knowledge about Covid 19 during Pregnancy.
Authors: Dr. Jannatul Ferdous  , Dr. Mohammad Mostafizur Rahman  , Dr. Fakhria Alam
Published: November 2024

Introduction: Coronavirus disease (COVID-19) is a respiratory disease. The aim of this study was to assess the level and knowledge and types of attitudes towards COVID-19 among pregnant women attending OPD of Gynecology for an antenatal check-up in Chattogram Medical College Hospital of Bangladesh.Methods: This was an interview-based cross-sectional study that was conducted at the Department of Obstetric Gynae, Ashiyan Medical College Hospital, Barua Khilkhet, Dhaka, Bangladesh during the period from 1st June to 30th July 2020. In total 100 pregnant women who had an antenatal check-up for their current pregnancy in the hospital during the study period were selected as the study population. All data were processed, analyzed, and deiminated by MS Office and SPSS version 25 as per need.Result: The majority of the participants were young adults aged between 25-34 years old. Most of them (79%) were housewives. 64% of theparticipants were of middle economic status. The majority of theparticipants believed fever and dry cough to be a symptom of COVID-19.73% believed that pregnant women have a higher risk with COVID-19 than others. 38% thought that COVID is common only in a coldclimate, but 49% disagreed with this fact. Proper knowledge of COVID-19 was common in 41% of the participants only. And 35% of the totalparticipants had a positive attitude towards the current pandemic, whichwas below satisfaction level.Conclusion: knowledge level of the participants was found satisfactory but the attitude was found lower than the general satisfaction level.