bluuebunny/crossref_metadata_2025 huggingface dataset:
Factores que Inciden en el Acceso de los Bachilleres de Manizales a la Educación Superior
Authors: Soto Castañeda Yeisson , Gallego González Natalia Daniela , Bayona Moreno Luz Marina
Published: November 2024

Este articulo presenta resultados de la investigación titulada "Factores que inciden en el acceso de los bachilleres de Manizales a la Educación Superior", surge a raíz de la desmotivación de los bachilleres por continuar algún tipo de formación técnica o profesional, debido a la ausencia de proyecto de vida, apoyo familiar o desconocimiento en cuanto a oportunidades y posibilidades de acceso a la Educación Superior. Con el objetivo de determinar las causas que inciden en el acceso a la Educación Superior por parte los bachilleres de la Institución Educativa El Japón en Manizales; la investigación comienza con una revisión exhaustiva de estudios previos a nivel internacional, nacional y local, estableciendo las bases teóricas, conceptuales y legales. En su metodología utiliza el enfoque Socio crítico, el modelo de Investigación Acción Participativa; mediante el análisis de entrevistas semiestructuradas realizadas a diferentes estamentos de la comunidad educativa, así como el análisis documental a fuentes del  contexto educativo, para analizar el problema en todas sus dimensiones y plantear soluciones desde una perspectiva crítica social, frente a los resultados que emergen de la investigación tales como accesibilidad económica, falta de preparación académica y barreras sociales o culturales que afectan a grupos minoritarios.
Comparación del Nivel de Expresión del Receptor Estrogénico Beta en Pacientes con y sin Cáncer Colorrectal
Authors: Acevedo-Cantorán Diego , Díaz-Barrientos Cheryl Zilahy , Vallejo-Ruiz Verónica , García-Salazar Jorge Miguel
Published: November 2024

Introducción: El cáncer de colon es una de las neoplasias con mayor incidencia en México. El diagnóstico se realiza en estadios avanzados, las investigaciones se han enfocado en métodos que permitan identificar la enfermedad en etapas iniciales y tratamientos más efectivos.Los estudios sobre el receptor estrogénico beta sustentan un probable papel protector contra el cáncer colorectal, Adicionalmente, existen reportes que muestran una disminución en la expresión del receptor estrogénico beta en pacientes con cáncer de colon, por lo que se evaluó en población mexicana con cáncer de colon. Objetivo: Comparar el nivel de expresión del receptor estrogénico beta en biopsias de pacientes con cáncer colorectal y sin patología neoplásica. Material y métodos: Se realizó un estudio comparativo en biopsias de pacientes con diagnóstico de cáncer colorectal y biopsias de tejido sin patología neoplásica. Resultados: Se obtuvieron 10 biopsias de pacientes con cáncer colorectal y 16 biopsias sin patología neoplásica, Encontrando en el grupo con cáncer menor nivel de expresión comparado con el grupo sin patología neoplásica. Conclusión: las muestras con cáncer mostraron un cambio de localización celular del receptor, observándose preferentemente en citoplasma a diferencia de las muestras sin alteración neoplásica en las que se observa en el núcleo.
Educa T Aplicación móvil para la enseñanza del lenguaje mediante señas como herramienta de apoyo para el proceso de enseñanza aprendizaje para niños con problemas auditivos en edad preescolar
Authors: Vásquez Jiménez Juan Carlos , Orduña Ramírez María Estela , Juárez González Carlos Ariel , Arellano Ambrosio Samuel , Oregán Silva María de Jesús
Published: November 2024

La dificultad para comunicarse de las personas con deficiencias auditivas, sobre todo los niños y niñas, reducen sus habilidades sociales; por lo tanto, su educación y su desarrollo humano se ven severamente limitados, restringiendo así las oportunidades de su integración social que toda persona debe tener, lo cual es considerado como un acto de discriminación. Es por esta razón que se presenta la propuesta de realizar una aplicación móvil que brinde una opción en el proceso de la enseñanza de la lengua de señas mexicana, por medios visuales mostrando las diferentes señas componentes del vocabulario en el que los niños de preescolar necesitan habituarse, razón por la cual la app deberá ser de una funcionalidad simple y que la interfaz gráfica resulte atractiva para los niños y estimule su desarrollo usando materiales educativos apropiados para los pequeños en edad de preescolar por lo es necesario que esta sea de fácil uso y operación. Por lo que el objeto principal de este proyecto es apoyar a esta población vulnerable que presenta esta discapacidad mediante una herramienta que sirva para comunicarse entre alumnos, docentes y familia, haciendo de esta manera más amigable el aprendizaje del lenguaje de señas mexicano.
El Marketing Digital de las MiPYMES de Ciudad Obregón, Sonora: Su adaptación post Covid-19
Authors: Encinas Romero Gabriela , Leyva Osuna Beatriz Alicia , Valdez Pineda Dina Ivonne , Ochoa Jiménez Sergio
Published: November 2024

El marketing digital en las MiPymes se incrementó a partir de la pandemia 2019, gracias a los medios digitales tuvieron contacto directo con el cliente, por la importancia del tema, la finalidad de esta investigación fue identificar las herramientas de marketing digital más utilizadas y los beneficios que otorgan a las MiPymes en Ciudad Obregón, Sonora en tiempos de post COVID-19. El enfoque de esta investigación es de tipo cuantitativo y de alcance descriptivo; se aplicó un instrumento el cual se retoma de Lavanda et al. (2021) y Real et al., (2018), donde se comprobó que la utilización de herramientas digitales en las empresas de la zona norte de Ciudad Obregón Sonora, en tiempos de post COVID-19, han sido relevantes para poder sobrevivir a dicha etapa, obteniendo como resultado que el 67% de dichas empresas encuestadas se apoya en herramientas digitales, liderando Facebook con un 55%, Instagram con el 33% seguido de WhatsApp con un 25%, sin embargo un tercio de las empresas no cuenta con estrategias digitales, excusándose por falta de cultura empresarial para impulso de la transformación digital, concluyendo así, que aún falta cultura de marketing digital en las MiPymes de Ciudad Obregón, Sonora, México.
Eficacia a Tres Años de la Viscosuplementación con Ácido Hialurónico en Pacientes con Gonartrosis Sintomática
Authors: Hernández Pérez María Fernanda , Motta Avila Gaspar Alberto , Obil Chavarria Claudia Alejandra
Published: November 2024

El objetivo de este estudio fue evaluar la eficacia a largo plazo de la viscosuplementación con ácido hialurónico en pacientes con gonartrosis grados II y III. Se realizó un estudio observacional, longitudinal y retrospectivo, en el cual se analizaron datos de 110 pacientes tratados en la Clínica de Especialidades Centro de Cirugía Ambulatoria “1º de Octubre” ISSSTE quienes recibieron al menos una infiltración de ácido hialurónico entre diciembre de 2019 y octubre de 2022. Los resultados clínicos se evaluaron utilizando la escala WOMAC para medir dolor, rigidez y funcionalidad, y se realizaron seguimientos telefónicos estructurados entre abril y junio de 2024. Los análisis estadísticos incluyeron pruebas de normalidad de Kolmogorov-Smirnov, regresión logística y un análisis univariado, con un nivel de significancia estadística p < 0.05. Se observó una mejora significativa en los síntomas de los pacientes a lo largo de tres años de seguimiento, con una reducción del dolor y un aumento en la funcionalidad. La edad fue el único factor que mostró relevancia estadística en la progresión hacia la artroplastia (p = 0.002). Estos hallazgos sugieren que la viscosuplementación ofrece una alternativa eficaz para el tratamiento de la gonartrosis, aunque se recomienda realizar estudios adicionales con mayor seguimiento y control de variables.
ДВУЯЗЫЧНОЕ ОБРАЗОВАНИЕ В ПАРАГВАЕ: СОЦИОЛИНГВИСТИЧЕСКИЙ АСПЕКТ
Authors: Канесе Валентина , Перальта де Агуайо Эстела Мари
Published: November 2024

Cоциолингвистика вносит ценный вклад в преподавание языка. Она постулирует необходимость учитывать языковое разнообразие каждого ареала. Парагвай как двуязычное государство с 1994 г. перешел на постоянное двуязычное образование, в рамках которого на занятиях используются оба официальных языка – испанский и гуарани. На них ведется преподавание, и каждый язык является предметом изучения. В статье анализируется языковое законодательство Парагвая и официальные документы, регламентирующие процесс обучения в школах. Были предложены разные программы школьного обучения в зависимости от того, какой язык считается для учащихся родным, испанский или гуарани. Проведенные реформы оцениваются обществом неоднозначно. Хотя большинство парагвайцев двуязычны, что подтверждается приводимыми в статье статистическими данными, гуарани не обладает достаточным престижем в образовательной сфере. В ситуации, когда в Парагвае функционирует собственный вариант испанского, а гуарани представлен в нескольких формах (стандартный гуарани, смешанная форма jopara), необходимо сделать выбор варианта, приемлемого в школьном образовании. В данной работе выполнен обзор исследований, касающихся проблем языкового разнообразия, способствующего внедрению двуязычного обучения, а также рассмотрена проблематика, связанная с материалами для обучения, с подготовкой преподавателей.
Impact of SARS-CoV-2 infection on neonates born to mothers with positive COVID-19 tests. Retrospective cohort study
Authors:   “Nicolae Testemitanu” Medicine and Pharmacy State University, Pediatrics Department, Kishinev, Republic of Moldova, Rotari Olga ,   IMSP Mother and Child Institute Kishinev, Republic of Moldova, Crivceanscaia Larisa ,   “Nicolae Testemitanu” Medicine and Pharmacy State University, Pediatrics Department, Kishinev, Republic of Moldova,   IMSP Mother and Child Institute Kishinev, Republic of Moldova
Published: November 2024

Background and objectives. COVID-19 infection in pregnant women has an important impact on perinatal and neonatal outcomes. In the small group with critically ill mothers, the complications in the neonates are influenced more by the mother’s state of health than by the disease caused by the SARS-CoV-2 infection. The authors aimed to evaluate the impact of neonatal positive results on SARS-CoV-2 testing. Materials and methods. The retrospective cohort study included all newborns with positive results on SARS-CoV-2 PRC testing admitted to IMSP Mother and Child Institute Kishinev, Republic of Moldova, between 2020 and 2021. Analyzed data were extracted from the maternal and neonatal medical charts, focusing on gestational age, gender, birthweight, Apgar score, type of delivery, respiratory support, radiography findings, and the number of days spent in the NICU. Results. In the present study, of the total number of patients (47), only 7 neonates had a positive COVID-19 test. Two premature infants with a positive test did not suffer from respiratory distress, while the other five needed nasal CPAP (one term infant and four premature infants of 32, 33, and 34 weeks gestational age). There was a high prematurity rate (89.36%) and a high C-section delivery rate (74.4%). Conclusions. In conclusion, the results of our study have shown the direct impact of maternal COVID-19 infection on neonates, irrespective of whether the SARS-CoV-2 test was positive or negative.
Humanoid Robot-Assisted Learning for Level 1 Autistic Children: Developing Test Plans to Enhance Number Recognition Skills
Authors: Mohamad Siti Nurul Mahfuzah , Ishak Norshahidatul Hasana , Salam Sazilah , Maksom Zulisman , Norasikin Mohd Adili , Mohd Nordin Norazah , Adnan Nor Hafizah , Juanita Juanita , Mohd Ali Muhammad Hafizi
Published: November 2024

Autism Spectrum Disorder (ASD) impacts the social, communication, and cognitive development of affected individuals. Level 1 autism, the mildest form of ASD, presents unique challenges in the acquisition of crucial skills such as number recognition, which serves as a foundational aspect of children's cognitive development. Recent studies have shown that humanoid robots can offer effective intervention strategies for children with autism, fostering learning in a structured, engaging, and interactive environment. This study aims to develop and evaluate test plans using humanoid robots to enhance number recognition skills in Level 1 children with autism. Based on the findings, a test plan was designed to address the unique learning needs of Level 1 children with autism in number recognition. Participants were selected based on specific criteria, ensuring a diverse and representative sample. The humanoid robot's capabilities and features were detailed, emphasizing its role in facilitating the test plan. The research methodology outlined the test plan components, implementation procedure, data collection, and analysis techniques. Results demonstrated that the humanoid robot-assisted test plan was effective in enhancing number recognition skills among Level 1 children with autism. The participants exhibited significant improvements in their abilities to identify and manipulate numbers, as well as increased engagement and motivation in learning tasks. The study also revealed that the interactive and supportive nature of the humanoid robot fostered a positive learning environment, which contributed to the observed improvements in number recognition skills. The implications of these findings extend to the broader field of autism intervention, highlighting the potential benefits of incorporating humanoid robots into educational programs for children with autism.
Improved Breast Cancer Detection using Modified ResNet50-Based on Gradient-Weighted Class Activation Mapping
Authors: Gharaibeh Hasan , Nahar Khalid M.O. , Atitallah Nesrine , Nasayreh Ahmad , Al Mamlook Rabia Emhamed , Alqaseem Mohammad A. , Al-Na’amneh Qais , Alhawiti Khaled M.
Published: November 2024

Breast cancer is a prevalent and serious disease that affects many women around the world every year. Detecting breast cancer early is crucial for improving survival rates and treating the illness effectively. Researchers are exploring various methods, including neural networks and machine learning, to assist in detecting the disease. However, due to limited data availability, leveraging pre-trained models trained on diverse image datasets has become a common practice. This article introduces a novel approach to identifying breast cancer that involves the utilization of a deep learning model utilizing the ResNet50 framework, coupled with heat mapping and gradient-weighted class activation mapping (Grad-CAM). The suggested method was primarily assessed using the FDDM dataset of Subtracted Contrast Enhanced Spectral Mammography (CDD-CESM) images. The outcomes from this model were then contrasted with those of five other well-known models: VGG16, VGG19, MobileNetV2, EfficientNet-B7, and standard ResNet50. The newly proposed model yielded an accuracy of 0.8920, which was better than the other models. Additionally, Grad-CAM showed nearly flawless feature extraction in a breast cancer classification assignment. In the discussion section, the suggested method was utilized with the MIAS dataset to ensure thoroughness and scalability, and to allow for comparison with prior research. The results demonstrated the effectiveness of the suggested approach, with an accuracy of 0.9830 achieved on the MIAS dataset, surpassing previous works. This study significantly enhances the improvement of breast cancer detection through the integration of deep learning, the ResNet50 architecture, and visualization methods including heat maps and Grad-CAM.
Medicinal Plant Recognition Based on the Seedling Image and Deep Learning
Authors: Nahar Khalid M. O. , Atitallah Nesrine , Shquier Mohammed M. Abu , Zreiqat Dalal Z. , Alhawiti Khaled M.
Published: November 2024

In the realm of botanical science and environmental conservation, identifying medicinal plant species accurately and efficiently is crucial for their sustainable cultivation and conservation. This paper introduces a novel approach that leverages seedling images and deep learning techniques to develop a computer vision system. The system aims to recognize medicinal plants at their early growth stages, a task that is fundamental for effective plant management and preservation efforts. The proposed work utilizes the Inception 3, a deep convolutional neural network (CNN) architecture, trained on a comprehensive dataset of seedling images from diverse medicinal plant species. Evaluating the system's performance with various metrics reveals its exceptional accuracy, reaching up to 97.6% in identifying medicinal plant species. This model holds promise for applications in plant conservation, biodiversity assessment, and the cultivation of medicinal plants.
Performance Analysis for Producer Mobility in Named Data Networking
Authors: Azamuddin Wan Muhammad Hazwan , Mohd Aman Azana Hafizah , Sallehuddin Hasimi , Attarbashi Zainab Senan , Zhang Wenhua , Hassan Suhaidi
Published: November 2024

The influence of producer mobility on Named Data Networking (NDN) networks in dynamic networking environments is amplified, hence necessitating an escalation in the demand for performance analysis. When producers transition between different sites or nodes relocation, there is a significant increase in packet loss. Consequently, the present work centres on conducting experiments and evaluating producer mobility by utilizing the Hybrid Indirection Method (HIM) to mitigate the effects of signalling cost on the handoff procedure. This study aims to analyse the effects of producer mobility, specifically focusing on two critical factors: handoff signalling cost and packet data ratio. The data gathered from the study provide significant insights into the benefits and challenges related to producer mobility. This research paper comprehensively investigates producer mobility within the network simulator ns3 framework. The findings demonstrate a notable enhancement achieved by the HIM technique, resulting in substantial improvements in handoff signalling cost and packet data ratio.
Variational Analysis: Collapse of the Static Soliton Wave Beams in a One-Dimensional Discrete System
Authors: Aklan Nor Amirah Busul , Samiun Anis Sulaikha , Mohd Yasin Azyan Munirah , Umarov Bakhram , Mohamad Mohd Sham , Sulaiman Sahimel Azwal
Published: November 2024

A system that experiences sudden state changes at specific times is said to be discrete. The majority of systems that are studied in operations research and management science, such as transportation or communication studies, are under the application of discrete systems. This study investigates the analytical study of the static soliton for Cubic-Quintic Discrete Nonlinear Schrödinger Equation (DNLSE) in discrete system. Subsequently, static soliton, that is often used to characterize specific self-action regime in a continuous one-dimensional problem, is defined as a self-reinforcing wave packet that keeps its form and velocity while it travels in a medium. Moreover, it is well-known that the NLSE is a known integrable equation of partial differential equation. Therefore, the variational approximation method is applied to transform the partial differential equation of the main equation into ordinary differential equations, thus, to derive the equations for soliton parameters evolution during the interaction process. The method is used to qualitatively study the Discrete NLSE and characterize self-action modes. It is shown that in discrete media, both wide and narrow wave beams (relative to the grating scale) experience weakened diffraction, resulting in the “collapse” of the one-dimensional wave field when the power is greater than the critical threshold. As a result, the central fiber is able to self-channel radiation.
Development of Cost-Effective GPS Receiver for Ionospheric Scintillation Monitoring Aided with IoT System
Authors: Azahar Mohd Azrol , Mokhtar Mohd Hezri , Abdul Rahim Nurliyana , Zohari Mohd Hakimi , Ahmed Al-Fadhali Najib Mohammed , M. Buhari Suhaila , Bahari Siti Aminah , Mohammed Gismalla Mohammed Salih
Published: November 2024

One of the applications of GPS receiver is to detect and measure the irregularities in satellites communication. Many of the studies conducted the research to analyses the transmission data through ionosphere layers. One of the subjects of the research is scintillation. One of the ionosphere scintillation parameters used for measuring the irregularities is amplitude scintillation (S4). However, the survey-grade or GISTM receiver, which is expensive, was commonly used to monitor the parameter. The other alternative is to used common geodetic GPS receiver that capable of collecting the parameters. This study used ZED-F9P with ANN-MB antenna and Raspberry Pi as the prototype to operate. The data collected during the autumnal equinox showed a pattern of strong ionospheric scintillation effects in the post-midnight hours. The study demonstrates the feasibility of using low-cost GNSS receivers for ionospheric monitoring, which has important implications for various applications such as navigation, communication, and space weather monitoring.
Agile Decision-Making as an Alternative for Decision Making’s Complexities in Information Management to Flood Rescue and Recovery: A Systematic Literature Review
Authors: Ismail Nur Fatihah , Akmal Suriati , Suhaimin Mohd Khairul Nizam , Kamalrudin Massila , Affiq Amirul , Hakimi Halimaton , Azmi Siti Syazwani
Published: November 2024

There are several decision-making complexities that must be addressed in information management of flood rescue and recovery. All of these complexities lead to several complications, such as slow rescue operations, a rise in the number of victims, and numerous other flaws. As a result, in order to accomplish optimal decision making, the "agile concept" must be adopted. Therefore, this paper aims to explore the complexities faced by decision makers and identify the factors of agile decision making for an enhanced effectiveness of information management in flood rescue and recovery. 79 relevant articles published between 2014 to 2023 have been collected to go through systematic literature review. It includes the previous studies of complexities for information management in flood rescue and recovery Next, the findings showed that there eight significant factors of agile decision making that can enhance information management effectiveness in flood rescue and recovery. The factors are integrated collaboration, virtual knowledge, data quality, leadership role, person abilities, cost allocation, community engagement and real time data. The findings of this study further show that agile decision making can be alternative for reducing complexities of decision making by enhancing effectiveness of information management in flood rescue and recovery. The results of this study can be used as the fundamental to develop an effective model of agile decision making to enhance information management in flood rescue and recovery.
A Study on Recycling Waste Materials in Construction Industry
Authors: Jin Chai Lee  , Thedy Wijaya Hansen , Chong Zhixiong , Ng Jing Lin , Moon Wei Chek , Hong Xiaojiang , Lee Samuel
Published: November 2024

The development of the construction industry has been greatly increasing over these decades. The high construction number produces several issues including waste. Waste materials in the construction industry have been one of the concerns due to high generation and most of them ended up in landfill. However, it is believed that these waste materials are recyclable. It is also adequate to be used in the construction industry for environmental sustainability as well as to reduce dependence on natural resources. Therefore, the primary objective of this research is to identify practices applied in the construction industry in recycling waste materials. Moreover, this study also serves the purpose to analyse the advantages and disadvantages of the common practices applied in recycling waste materials. Last but not least, it is expected as well throughout this study, that a recommendation may be made based on the effectiveness of recycling. To test the theories, an online questionnaire survey was conducted with 66 respondents from experts in the construction industry. The collected data further will be analysed using Statistical Package for Social Sciences (SPSS) version 26.0 software. From the results, the majority of the construction industry companies in Malaysia are aware of the waste management issue and practice waste materials recycling. The most recycled wastes are paper, cardboard, timber, and metal while the least recycled wastes are glass and asphalt due to their difficulties. Some of the waste categories are recycled by direct reuse methods such as timber and cardboard. Moreover, there is still room to improve the effectiveness of the current recycling system specifically in terms of operational cost. The current recycling system is beneficial in terms of resources, economic, and natural resource dependencies. Furthermore, the quality and reliability of the recycled products still need further improvement to be used as the main materials in the construction industry.
Virtual Laboratory and Artificial Intelligence in Science Education: Bibliometric Analysis Based on Scopus Source
Authors: Juandi Tarpin , Kaniawati Ida , Samsudin Achmad , Riza Lala Septem
Published: November 2024

This study examines the development of research related to virtual laboratories and artificial intelligence in education. With the assistance of VOSviewer, this study aims to conduct computational mapping on bibliometric data of articles on the keywords: artificial intelligence, virtual laboratories, and education. The method used in this research is bibliometric analysis using VOSviewer. Article data obtained from Scopus-based data, article titles, and abstracts are used to guide the search process by referring to the keywords "laboratorium virtual" and "artificial intelligence in education". It found 359 allegedly relevant articles. The study period used as study material in this study was for the last 5.5 years, namely from 2018 to June 2023. The results of laboratorium virtual and artificial intelligence research in education can be separated into 3 terms, namely artificial intelligence, laboratorium virtual, and education. The term artificial intelligence has 304 links with a total link strength of 12065, the term Laboratorium virtual has 416 links with a total link strength of 5451 links with an accuracy of 212 terms, and the term education has 399 links with a total link strength of 3142 accuracies of 113. The analysis results indicate a significant increase in research related to virtual laboratories and artificial intelligence in education over the past four years. However, the relationship between virtual laboratories and artificial intelligence in education is still relatively rare. In fact, there is no existing relationship between virtual laboratories and artificial intelligence. Based on this information, the opportunity for developing research on virtual laboratories based on artificial intelligence in the field of education is substantial.
The Intersection of Artificial Intelligence, Marketing, and Cancer Awareness: A New Synthesis for Future Leverage
Authors: Madli Faerozh , Rohaizad Yuzainy Janin , Salleh Wahab Mat Salleh , Mojolou Dean Nelson , Tamin Masran , Jafar Adi , Kiflee Ag Kaifah Riyard , Wolor Christian Wiradendi
Published: November 2024

The emergence of technology today has an impact on many aspects of our daily lives. This impact is not limited to individuals but can be said to be overall, involving many parties, including areas related to universal well-being. In the context of this study, the well-being of the people refers to cancer awareness. Another important element related to increasing awareness is the use of marketing elements. However, the focus of this study is not limited to these two elements alone but also includes one more element that is currently a hot topic, which is artificial intelligence. In other words, this study examines how these three elements interrelate to form awareness about cancer. The results show how dynamic and positive the impact of artificial intelligence is in influencing both marketing aspects and cancer awareness.
Digital Technology in Quality Management: Bibliometric Computational Mapping Analysis
Authors: Rasto R. , Suryadi Edi , Sobandi A. , Sutarni Nani , Hernawan Yosep
Published: November 2024

This study used the bibliometric method and computational mapping analysis using VOSviewer to examine the development of research on the use of digital technology in quality management. Article data were obtained from Google Scholar using the Publish or Perish Reference Manager application. Data collection was conducted based on the keywords "quality management" and "digital technology”. The search found 779 relevant articles. The study period was the last 20 years (2003–2022) and the articles were indexed by Google Scholar. The results showed that research on digital technology in quality management could be divided into four terms. The first term was "quality management”, with 91 links, 1695 total link strength, and 530 related events. The second term was "total quality management”, with a total of 84 links, a total link strength of 1386, and 309 related events. The third term was "quality management system”, with a total of 61 links, the total link strength of 425, and 121 related events. The fourth term was "digital technology”, with a total of 53 links, the total link strength of 551, and 251 related events. The analysis also showed that the number of publications on digital technology in quality management tended to increase over the past 22 years, although it fluctuated every year. The peak occurred in 2020 with 78 articles. The results of this study could serve as a starting point for further research on this topic.
Investigation of Deep Learning Model for Vehicle Classification
Authors: Ismail Ahsiah , Ismail Amelia Ritahani , S.Nadzeer Adzreen Nulsyazwan , Ahmad Puzi Asmarani , Awang Suryanti , Ramli Roziana Ramli
Published: November 2024

The usage of automobiles in cities and metropolitan areas has increased drastically throughout the years and there is a need to monitor the flow of road traffic to improve the traffic congestion and safety. One of the best ways to monitor the traffic is using an artificial intelligence and machine learning. An automatic vehicle tracking system based on artificial intelligence and machine learning can offers capability to analyse the real-time traffic video data for the purpose of traffic surveillance. The computer vision is one of the subsets in machine learning that can train the computer to understand the visual data and perform specific tasks such as object detection and classification. A Vision-based system can be proposed to detect road accidents, predict traffic congestion and further road traffic analytics. This can improve the safety in transportation where it can recognize types of vehicles on the road, detecting road accidents, predicting the traffic congestion and further road traffic analytics. In the context of road traffic monitoring, the parameters of the traffic such as the type and number of vehicles that passes through must be recorded in order to gain valuable insights and make prediction such as the occurrence of traffic congestion. However, this requires reliable informative and accurate data as input for analytics. Therefore, in this research the deep learning model for vehicle classification is investigated to detect, classify types of vehicles and further predictive analytics. The vehicle classification is proposed based on Single Shot Detector (SSD) architecture model. The proposed model is tested on five different classes of vehicles with a total of 1263 images. Experimental results show that SSD model able to achieve 0.721 of precision, 0.741 of recall and 0.731 of F1 Score. Finally, the result show that the SSD model is more accurate among all the models for all the performance measure with the difference of more than 0.052 of precision, 0.706 of recall and 0.05 of F1 Score.
Analysis, Modelling and Simulation for the Intelligent Active Vibration Control of a Combined Plant using a New Gyroscopic Combined Actuator Model
Authors: Moloody Abbas , As’arry Azizan , Tang Sai Hong , Kamil Raja , Bahiuddin Irfan
Published: November 2024

There have been several research conducted worldwide on analysis, modelling, and controlling for flexible manipulator architectures. In this paper, one of the most interesting areas in the science of rotational dynamics as the study of spinning solid objects, such as Gyroscopes (G) has been investigated as a new approach for the improvement of the gyroscope non-linear behaviour which controls the magnitude and the direction of the torque separately in the frequency domain by describing a New Graphical Combined Actuator Model (NGCAM) for the Intelligent Active Vibration Control (IAVC) of a Combined Plant (CP) as a linear-nonlinear combined single link Robotics Flexible Manipulator (RFM) structure which rotates in the horizontal plane with two degrees of freedom in order to have a performance assessment and suppressing vibrations. The effect of the parameter variation on the stability and dynamic nonlinear behaviour of the gyroscope in gimbals with a feedback sensor control system has been formed and optimized by the Modified Fuzzy Logic (MFL) algorithm as an artificial intelligence control technique and the Proportional, Integral and Derivative (PID) tuning by the modified Ziegler Nichols (ZN) method. To validate the gyroscope stabilization to be implemented into the RFM for controlling the vibration, the proposed method combines Active Force Control (AFC) technique with Fuzzy Logic (FL) and PID as the (AVC-FL-PID) controller for the NGCAM, CP and RFM by using MATLAB & SIMULINK program is created. For a linear-non-linear combination system, it is better to use a linear-non-linear combination controller. Simulation results illustrate the effectiveness of the proposed strategy which is significantly and quite satisfactory about 25 (%) generally better than compared to the other systems’ performance criteria and is so clear and significant optimization is visible than compared to the other conventional actuators such as PZTs and other control strategies in improvement stabilization and vibration control of RFM structures. The advantages of the proposed method and the possibilities of further improvements are discussed.
Systematic Review of Adapting Immersive Technology in Enhancing Teaching and Learning for Students in Higher Education
Authors: Khamis Huzani , Khairudin Moh. Khairudin , Jantan Azrul Hazri , Roslan Nuur Alifah , Abdullah Lili Nurliyana
Published: November 2024

The integration of immersive technology into educational settings has garnered substantial interest as a potential means to improve teaching and learning (TnL)experiences. The dynamic landscape of education demands innovative approaches to engage, motivate, and empower both educators and learners. Immersive technology, including Virtual Reality (VR), Augmented Reality (AR), as well as Mixed Reality (MR), provides uncommon probabilities to transcend traditional classroom boundaries and provide interactive and immersive learning experiences. However, to harness the full potential of immersive technology, a clear understanding of the conceptual frameworks guiding its implementation is essential. This study utilizes the PRISMA approach. Furthermore, the systematic search of academic databases using the Web of Science (WoS) as well as the Scopus database resulted in an extensive selection of studies, reviews and articles related to immersive learning. Following the implementation of an advanced search approach utilizing keywords (1. Immersive learning, 2. AR, as well as 3. Technology Impact on TnL), the systematic review process yielded a diverse array of articles. These articles were identified and included in the review due to their exploration of the conceptual frameworks that underlie the integration of immersive technology in the field of education. Additionally, the review reveals common themes and emerging trends within the field, shedding light on the diverse approaches to leveraging immersive technology for TnL. The final finding data is (n: 29), which reviews identified key themes. Expect validation to be divided into three themes, which are (1) Immersive learning, (2) AR, and (3) Technology Impact on TnL. Meanwhile, the findings emphasize the importance of well-defined theoretical foundations and best practices when implementing immersive technology for educational purposes. The review underscores the importance of ongoing research as well as innovation in the domain of immersive technology to fully exploit its potential for enhancing TnL experiences. In essence, this systematic review adds to the continued conversation about the efficient utilization of immersive technology in education and paves the way for further exploration and advancement in this field.
Flood Mapping using HEC-RAS and GIS: A Case Study of Palembang Watersheds
Authors: Alia Febrinasti , Rendana Muhammad , Idris Wan Mohd Razi , Sarino Sarino , Yuono Agus Lestari
Published: November 2024

Flooding is a significant issue in Palembang City, affecting areas such as Gandus, Lambidaro, Boang, Sekanak, Bendung, Kidul, Buah, Juaro, Selinca, Nyiur, Aur, Sriguna, Kedukan, Keramasan, Kertapati and Jakabaring watershed. This research contributes to flood control measures by providing flood mapping and modelling for decision-makers and local authorities. The main objective of this paper is to perform a steady flow analysis to study the hydraulic characteristics of flow; velocity and water surface profile of the adjacent research areas. There are three processes involved in the data analysis: hydrological, hydraulic and spatial. The calculation of average rainfall is performed using the Isohyet method with the assistance of the IDW 3D Analyst tool in ArcGIS and the design discharge is calculated using the HSS Nakayasu method. The hydraulic analyses involve river morphology extraction using RAS Mapper tools in HEC-RAS. Steady flow simulations are conducted for normal water depth conditions and the highest tidal conditions. The simulation result is then reclassified and the flood location points are verified with observed data. For normal water depth conditions, the maximum water level in the Lambidaro watershed reaches 2,09 meters, which covers a flood area of 721,53 ha. Meanwhile, based on the highest tidal simulations, the maximum water level in the Selinca watershed reaches 3,21 meters, covering a flood area of 209,36 ha.
Mapping Drought Disaster Risk Due to Climate Change in Kulon Progo District, Indonesia
Authors: Ikhsan Jazaul , Agustian Dandy , Faizah Restu , Agustina Fitriyati , Pratiwi Dheka Shara , Mohd Arif Zainol Mohd Remy Rozainy
Published: November 2024

Kulon Progo Regency is one of the regencies that always experiences severe drought. One of the factors that cause drought in Kulon Progo Regency is climate change due to global warming which causes changes in rainfall. The existence of drought certainly causes many problems in life due to the lack of water supply. Therefore, the purpose of this research is to conduct disaster risk mapping to obtain information on how to mitigate drought. The method used is to calculate the drought index using the Thornthwaite Matter method, calculate vulnerability based on BPS data, and calculate regional capacity based on the Regulation of BNBP Number 3 of 2012. After that, the calculation of disaster risk is then mapped. In this study, disaster risk is divided into two, disaster risk per year and dry months. The results of the annual disaster risk found that almost all sub-districts experienced low drought disaster risk, except for the Grimulyo sub-district which experienced moderate drought disaster risk. For the results of disaster risk in dry months, it is found that five sub-districts are classified into the low disaster risk category, namely Temon, Wates, Panjatan, Galur, and Nanggulan sub-districts. In addition, there are five sub-districts that fall into the medium disaster risk category, namely Lendah, Sentolo, Pengasih, Kokap, and Kalibawang. Finally, there are two sub-districts that fall into the high disaster risk category, namely Girimulyo and Samigaluh sub-districts.
Role of Competence, Discipline, and Integrity in the Context of Organizational Culture and Employee Empowerment in Improving Employee Performance : Systematic Literature Review
Authors: Murdiono Jatmiko , Suhud Usep , Wibowo Agus
Published: November 2024

The role of employees greatly determines the success of an organizational or company goal. Therefore, this study aims to analyze factors that affect employee performance ranging from factors of competence, discipline, and integrity as direct influences. Then organizational culture and employee empowerment as direct and indirect influences that affect employee performance through data collection with literature surveys which are then analyzed and described. So it is known that this study found that competence, discipline, integrity on employee performance and organizational culture as well as employee empowerment have a direct and indirect influence on employee performance. This research has the opportunity to be investigated further for future research, by developing empirical models of employee performance using other factors.
Utilization of Big Data Analytics in Understanding Climate Change Patterns: Latest Trends and Findings on Climate Patterns in Indonesia
Authors: Sopian Abu , Setiadi Dedi , Fitriani Novita
Published: November 2024

Climate change has become a global concern. In Indonesia, a deep understanding of climate change patterns is increasingly important in planning effective mitigation and adaptation measures. In this study, we explore the utilization of big data analytics to understand climate change patterns and identify trends findings related to climate patterns in Indonesia based on variables such as temperature, humidity, rainfall, and wind speed. Data used were collected from satellite observations, weather stations from 2010 to 2020. Purpose this study aims to explore the utilization of big data analytics in understanding climate change patterns in Indonesia, with a focus on identifying trends and recent findings in climate patterns. Methodology–We applied big data analytics techniques such as descriptive statistical analysis, spatial regression modeling, and cluster analysis to identify climate change patterns and recent trends in Indonesia. Findings–Through big data analysis, we successfully identified significant climate change patterns in Indonesia. Practical implications the findings of this study can provide a better understanding of climate change dynamics in Indonesia, serving as a basis for decision-making in natural resource management, disaster risk mitigation, and climate change adaptation strategies at both regional and national levels and can serve as a reference for researchers.
Technological Determination on Digital Mass Media Consumption in Marginalized Communities
Authors: Endah Nursamsi Sari , Astuti Hanny , Husni Mubarok Muhamad , Reza Gusti Safitri Islamu , Raja Neesha Azzuri
Published: November 2024

Purpose – The research aims to observe the preferences and decisions regarding the consumption of digital mass media within marginalized communities and the adaptation process of communities concerning digital communication technology. Design/methodology/approach – This research is a qualitative approach, specifically using the phenomenological method. The primary data is collected through observations while interviews used as secondary data. Subsequently, all the data is carefully selected, processed, and analyzed within the framework of technological determinism theory. Findings – Lower-cost cellular and Android devices offer a potential solution to accessibility barriers in the market, despite their minimal quality. However, significant challenges persist, including knowledge gaps, technological inadequacies, and limited digital literacy skills become obstacles to broader technological usage. Research limitations/implications – This study specifically targets marginalized communities in Bekasi, recognizing their restricted digital access and reliance on fishing as a livelihood. However, it does not extend its scope to encompass marginalized groups across Indonesia as a whole. Practical implications – The results obviously offer ideas in practical digital media literacy for similar communities and government to improve community capabilities in consuming media information. Originality/value – this research contributes the digital media literacy formula and encourages the pursuit digital technology for marginal community, through consumption of good news.
dimensão sociotransformadora na Catequese de Iniciação
Authors: Tokarski Luciano
Published: November 2024

O Concílio Vaticano II, as encíclicas sociais e os documentos da Igreja sobre a catequese apresentam uma relação fundamental entre a catequese e a doutrina social. Os documentos catequeses, especialmente os publicados nos últimos dois anos, mostram mais precisão e evidência desta relação teológica pastoral. Através da doutrina social da Igreja, observamos o florescimento da dimensão social nos nossos itinerários catequeses, portanto, conscientes de que a dimensão sociotransformadora é um elemento originalmente pertencente ao processo de iniciação diocesano ou paroquial. O curso de iniciação se expressa numa modalidade mais vivencial, abrangente e humanizadora, caminhando na direção da transformação das necessidades sociais. Além disso, especifica que está aberto à dimensão social da Igreja no exercício do ministério do catecismo com possíveis atividades que envolvam a sociedade civil, atividades sociais no território paroquial ou participação em obras e organizações sociais da Igreja. Uma dimensão sócio-transformadora ilumina a educação na fé e ajuda a analisar criticamente a realidade social dos interlocutores catecanos com as suas condições económicas, socioculturais, políticas e religiosas. Utiliza pesquisa bibliográfica com leitura analítica de documentos oficiais da Igreja referentes à doutrina social da Igreja e à catequese de iniciação.
Job quality in the shadow of Informality: A regional analysis in Ecuador
Authors: Carriel Bustamante Viviana , Mendoza César Andrés , Mendieta Rodrigo , Bravo Sofía
Published: November 2024

This paper investigates the relationship between informality and job quality in Ecuador, emphasizing the role of education as a mediating factor. Utilizing data from the National Survey of Employment, Unemployment, and Underemployment from 2014 to 2019, the study employs an Employment Quality Index to assess job quality. Through a detailed empirical strategy incorporating pooled ordinary least squares regressions, panel data analyses, and spatial models, the research unveils a negative impact of informality in employment quality. However, the ﬁndings indicate that education does not signiﬁcantly inﬂuence this relationship at the regional level. These results highlight the necessity for targeted policy interventions that address the structural issues in the labor market.
The Occurrence of Black and White in Economic Spanish and English
Authors: SPIŠIAKOVÁ MÁRIA , BILIKOVÁ BEÁTA , MOCKOVÁ NINA
Published: November 2024

The present paper deals with lexical units (words, expressions, fixed constructions, collocations, locutions, proverbs) with the component of the colours black and white in their structure which are used in economic language, i.e., language used in the fields of business, finance, banking, trade and other aspects of the economy. It is primarily aimed at the meaning of these lexical units and subsequently compares and contrasts their connotations to verify whether the symbolism of the colours black and white (negative or positive) is also reflected in economic language. Special attention is paid to the semantic extension and the use of these naming units by Spanish and English speakers. The chosen approach assumes that the differences in the meaning and usage of these constructions derive from the cultural differences between the countries where Spanish or English are spoken.