bluuebunny/crossref_metadata_2025 huggingface dataset:
The Golden Ratio: A Mathematical and Aesthetic Marvel
Authors: Subedi Shantiram
Published: February 2025

The Golden Ratio, approximately 1.618, is a mathematical constant that has captivated the imagination of scholars, artists, architects, and scientists for centuries. This article delves into the mathematical underpinnings of the Golden Ratio, tracing its origins and historical significance in ancient civilizations and its evolution in mathematical theory. Known for its unique properties, the Golden Ratio is often associated with beauty, balance, and harmony, which has led to its widespread application in diverse fields. From the design of iconic architectural marvels like the Parthenon to its presence in Renaissance art, the Golden Ratio continues to inspire creativity. It also manifests in nature, evident in the arrangement of leaves, the spiral patterns of shells, and the structure of galaxies. In modern science, the Golden Ratio finds relevance in engineering, computer algorithms, and even financial models. This exploration underscores its enduring allure, showcasing its theoretical elegance and practical utility across time and disciplines
Fear in Beauty: Sylvia Plath’s Reflections in Mirror
Authors: Adhikari Bhawani Shankar
Published: February 2025

This research aims to explore the role of fear and its outcome in the quest for beauty in Sylvia Plath’s poem “Mirror”. Beauty has been defined as the source of power as well as the cause of the annihilation of the entire civilization. Internal beauty has a superior role to external beauty. The persona of the poem has been found engaged in the quest for external beauty even in her old age which is unnatural and worthless. Extreme fear has acted negatively and devastatingly to ruin the life of the persona of the poem. It has led the speaker of the poem hopelessness of life and depersonalized condition which compelled her to commit suicide. The role of fear must be focused on the balance form of fear to maintain and achieve the goal in life. Otherwise, fear’s role and its effect tend to be detrimental and destructive to reaching the destination of keeping beauty, peace, and harmony in life. It has been analyzed how fear has acted and affected the life of Sylvia Plath due to extreme fear in beauty’s quest in old age.The original lines of the poem have been adopted as the primary data and analyzed with the support of secondary articles and journals produced on the poem. The speaker’s fear in the poem “Mirror” has been explored in various forms and such fears have been found to be acting actively in the psyche of the speaker in losing her charming facial appearance of her own youth.
Customer Attitude Towards Mobile Advertising
Authors: Acharya Paras Mani
Published: February 2025

Mobile Advertising is now emerging as a new channel of marketing communication. The major objectives of this descriptive research are to examine the customer attitude towards mobile advertising. The researcher has used convenience sampling method and collected 100 samples from the respondent located at Damak. The data collected through the questionnaire were organized and analysed using SPSS and Microsoft Excel. From result, indicate a significant relationship between all independent variables and the dependent variable, which is customer attitude. Among the various independent variables, credibility emerges as the most influential factor shaping customer attitude towards mobile advertising. This suggests that individuals perceive mobile advertising as a reliable and trustworthy source, often using personalized content as a reference for their purchasing decisions.
बहुभाषिक कक्षामा भाषिक परीक्षण तथा मूल्याङ्कन
Authors: भट्टराई रेगिना
Published: February 2025

प्रस्तुत लेख बहुभाषिक कक्षामा भाषिक परीक्षण तथा मूल्याङ्कन कसरी प्रभावकारी बनाउन सकिन्छ भन्ने कुराकोसैद्धान्तिक चर्चामा केन्द्रित रहेको छ । यस लेखमा मूलतः बहुभाषिक कक्षाको परिचय र आवश्यकता, भाषिक परीक्षण तथा मूल्याङ्कनको परिचय तथा प्रयोजन, परीक्षण र मूल्याङ्कनका सिद्धान्तहरू, भाषिक परीक्षणका उपाय र साधनहरू तथा परीक्षण प्रक्रिया र शिक्षकको भूमिका आदिका बारेमा स्पष्ट पार्ने प्रयास गरिएको छ । लेखलाई गुणात्मक ढाँचामा संरचित गरिएको छ । यसका लागि सैद्धान्तिक किसिमका पुस्तकहरूलाई आधार बनाइएको छ । यस लेख निर्माणका लागि आवश्यक सामग्री सङ्कलन पुस्तकालय पद्धतिबाट विभिन्न सन्दर्भ कृतिका सहायताले गरिएको छ भने तिनको सङ्गठन र प्रस्तुतीकरणका लागि वर्णनात्मक र व्याख्यात्मक विधि अपनाइएको छ ।अध्ययनबाट बहुभाषिक कक्षामा भाषिक परीक्षण तथा मूल्याङ्कन सम्पन्न गर्नका लागि पाठ्यक्रमका उद्देश्य, परीक्षणीय विषय, भाषिक सिपको छनोट, भाषिक एकनिष्ठता, योजनाबद्ध परीक्षण, विश्वसनीयता र वैधता आदि कुरामा ध्यान दिनु पर्ने निष्कर्ष निकालिएको छ । त्यस्तै बहुभाषिक कक्षामा परीक्षण तथा मूल्याङ्कन सम्पन्न गर्नका लागि लिखित, मौखिक, अवलोकन तथा प्रयोगात्मक आदि युक्तिहरूको प्रयोग गर्नु पर्ने, विद्यार्थीका कक्षाकार्य, गृहकार्य, परीक्षाका उत्तरपुस्तिका आदिलाई समेटी पोर्टफोलियो निर्माण गर्नु गर्ने र त्यसलाई भाषा सिकाइका क्रममा उपयोग गर्नु पर्ने तथा परीक्षणमा कमजोर देखिएका विद्यार्थीलाई निराकरणमूलक, प्रोत्साहनमूलक र सबलीकरणयुक्त कार्यहरू गरेर पुनः परीक्षणका लागि तयार गर्ने, निरन्तर प्रेरणा, हौसला, मार्गदर्शन र परामर्श सेवा प्रदान गर्ने आदि कार्य गरी बहुभाषिक कक्षाका विद्यार्थीहरूको उपलब्धि स्तर बढाउन सकिने निष्कर्ष निकालिएको छ ।
च्याउको जङ्गल कवितामा परिवेश
Authors: ढकाल फुलकुमारी
Published: February 2025

यस लेखमा कवि विप्लव ढकालको ‘च्याउको जङ्गल’ कवितालाई पाठका रूपमा लिई त्यसमा अभिव्यक्त परिवेशको अध्ययन र विश्लेषण गरिएको छ । प्रस्तुत कविताले २०६२/६३ सालको जनयुद्धको परिवेशलाई समेटेको छ । नेपालको सुमेरु पर्वत, पर्खाल, मरुभूमि, समुन्द्र, आकाश जस्ता स्थानिक सन्दर्भ र ती स्थानका विविध कार्याव्यापारले कविताको स्थानिक परिवेश सिर्जना भएको छ । जनयुद्धमा सर्वसाधारण नागरिकले भोग्नुपरेको दुस्ख, कष्ट, पिडा, युद्धमा गरेको सङ्घर्ष, व्यक्तिगत स्वतन्त्र विचार तथा भोगाइका विविध घटनाक्रमहरूले कविताको कालिक परिवेशको सिर्जना भएको छ भने जनआन्दोलनले निम्ताएको युद्ध र त्यसको परिणामले वातावरणीय परिवेशको सिर्जना भएको छ । परिवेश कविता निर्माणका लागि चाहिने आवश्यक तत्व हो । यसले कविताको समय, ठाउँ र वातावरणको स्पष्टता तथा निश्चितता प्रदान गर्छ । २०६२/६३ सालको जनयुद्धले ल्याएको राजनैतिक परिवर्तन र जनयुद्धबाट आक्रान्त नेपाली जनजीवनको विषय उठानमा परिवेशले महत्वपूर्ण भूमिका निर्वाह गरेको छ । यसमा एकातिर कृतिमा व्यक्त देश, काल र वातावरणको अध्ययन गरिएको छ भने अर्कोतिर यसले कृतिमा व्यक्त परिवेशको अध्ययन, घटनाले सिर्जित परिस्थिति तथा कथानकले ल्याएको परिस्थितिलाई के कसरी उठान गरिएको छ ? भन्ने जस्ता कुराहरूको परिवेशीय साहित्यिक प्रतिबिम्बनको अध्ययन गरिएको छ । त्यसैगरी विसङ्गतिपूर्ण कम्युनिस्ट कमजोर विचारधारा र त्यसले निम्त्याएको परिणामलाई एक पाटोबाट देखाइएको छ भने अर्को पाटोमा आम सर्वसाधारण नागरिकको स्वतन्त्रता र उनीहरूको विचारलाई यस कवितामा मुख्य रूपमा उल्लेखित गरिएको छ । ‘च्याउको जङ्गल’ कवितामा के कस्ता परिवेश आएका छन् र तिनको प्रयोग कसरी गरिएको छ ? कवितामा व्यक्त परिवेशले के कस्तो किसिमको सन्देश दिन खोजेको छ ? भन्ने कुराको खोजी गर्नु नै यस लेखको मुख्य उद्देश्य हो । यसमा परिवेशको आधारभूत सिद्धान्तलाई कविता विश्लेषणको महत्वपूर्ण र केन्द्रीय सिद्धान्तका रूपमा प्रयोग गर्दै मूलतः साहित्य, समाज व्यवस्था र राजनीतिक संस्कृतिबिचको सम्बन्धलाई कालिक परिवेश, स्थानिक परिवेश र वातावरणीय परिवेशका माध्यमबाट स्पष्ट रूपमा कविताको अध्ययन तथा विश्लेषण गरिएको छ । परिवेश सिद्धान्त कवितामा के कसरी प्रतिबिम्बित भएको छ ? भन्ने प्राज्ञिक जिज्ञासा नै प्रस्तुत शोधको मूल समस्या हो । यही समस्या समाधानको निम्ति शोधविधि अन्तर्गत सामाग्री सङ्कलन विधि र सैद्धान्तिक पर्याधार र अध्ययन विश्लेषण विधिलाई लिइएको छ । कवितामा अभिव्यक्त परिवेशको खोजीले नेपाली कविता अध्ययनको क्षेत्रमा कविताको परिवेशको खोजी गर्न चाहने जो कोहीलाई थप सहयोग र योग्दान पुर्‍याउनुका साथै उपयुक्त परिवेशको बारेमा जानकारी दिन्छ । अन्त्यमा परिवेश सिद्धान्तका आधारमा यो कविता सफल, प्रभावकारी र सौन्दर्यपूर्ण नै छ भन्ने निष्कर्ष निकालिएको छ ।
Multi-model Deep Learning Approaches for Vehicle Speed Estimation
Authors: Thapa Magar Anish , Osthi Subhadra , Adhikari Neha , Kumar K.C. Saban
Published: February 2025

Accurate vehicle speed estimates are critical for traffic monitoring and management. Traditional speed estimation approaches, such as radar guns or pixel displacement methods, are resource-intensive and frequently struggle in real-time or dynamic traffic situations. This paper describes a combination of YOLO for real-time object identification and Long Short-Term Memory (LSTM) networks for vehicle speed prediction that overcomes these constraints. The ability of YOLO to recognize cars with high precision, along with the capability of LSTM in processing sequential data, makes this approach extremely good for calculating speed from video data. Using the VS13 dataset of 400 single-vehicle videos, YOLOV5 detects vehicles and generates bounding box areas for LSTM to estimate speed. The performance across 13 car models averaged 5.79 km/hr RMSE. The accuracy and generalizability of the model can be improved in the future by adding outside variables like weather, road conditions, and driver behavior.
Efficacies of the CNN Algorithm in Predicting Lung Cancer
Authors: Acharya Prabin , Tandukar Rashmi , Karki Suman , Poudel Tripti , Mansur Jalauddin
Published: February 2025

Lung cancer is the leading cause of cancer-related death in the 21st century, and is highly expected to remain so in the future ages. It is possible to diagnose and treat the lung cancer if the proper symptoms of the diseases are detected in the early phases. A convolutional neural network (CNN)-based machine learning model is a recently emerged network design that has been functionalizing since the last decade mainly to optimize the detection processes of the lung cancer in the pre-collected medical examinations and the closely associated lung cancer datasets. Through the CNN classifier, the lung cancer patients are majorly classified based on their symptoms while the Python programming script drives the detection schemes as a whole through the effective implementation of the entire model. In fact, the CNN model enables the medical practitioners and hospital professionals to build the sustainable prototype mechanisms for the effective treatment of the lung cancer via the computational intelligence without any negative impacts on the societal environment. As it can reduce the amount of wasted resources and the amount of work required to complete the manual diagnosis tasks, the lung cancer patients can get the real-time treatment in a cost-effective manner with the minimal effort and latency from any location at any time. In this article, we overviews the performances of the CNN model designed by us, and assess its accuracy regimes in detecting the cancerous and noncancerous Lung cells. We believe that our model could mark the future prototype medical diagnosis scheme for the efficient lung cancer cells investigations, their progressive growing stages, and the timely assessments of the medical treatments.
Implementasi Rapid Assessment Bio Psiko Sosial-Daily Living Berbasis Komunitas Dalam Penanganan Bencana Di Desa Gasol Kecamatan Cugenang Kabupaten Cianjur
Authors: Atma Annisa Nur , Favourita Lina , Mildawati Milly
Published: February 2025

Dalam penanganan bencana, sangat peting untuk melibatkan langkah-langkah yang cepat dan terorgaisir dalam merespon kebutuhan para penyintas agar dapat segera ditangani dengan data di lokasi kejadian dan wilayah terdampak dalam waktu 1 (satu) kali 24 (dua puluh empat) jam. Salah satunya adalah dengan kaji cepat atau Rapid Assesment dimana pada siklus asesmen bencana, kaji cepat dilakukan paling awal ketika terjadi bencana. Penelitian ini dilakukan untuk mengembangkan format rapid assessment untuk dapat digunakan secara praktis oleh masyarakat di lingkungan rawan bencana sesuai dengan karakteristik warga dan wilayahnya juga menguatkan partisipasi masyarakat dalam penanganan bencana. Subjek penelitian yakni masyarakat Desa Gasol yang tergabung dalam Tim Siaga Bencana Kecamatan Cugenang Kabupaten Cianjur dengan menggunakan teknik Partisipatory Action Research (PAR). Penelitian dilakukan dengan melakukan wawancara, observasi, studi dokumentasi dan FGD (Focus Group Discussion). Pada form yang sudah disusun bersama masyarakat, untuk sisi internal klien dan juga hubungan klien dengan lingkungan dirinya dimasukan asesmen BPS (Bio Psiko Sosail) dan DL (Daily Living). Sehingga hasil yang diharapkan dari rekayasa rapid asesment BPS-DL juga bertujuan untuk mempercepat penyaluran bantuan dan pengambilan keputusan bagi pihak terkait khususnya Desa Gasol.
Capital Structure Mediates the Effect of Profitability and Company Size on Company Value in Hospitality Companies Listed on the IDX for the 2019-2022 Period
Authors: Nurbaeti Nurbaeti , Ratnaningtyas Heny , Swantari Anita
Published: February 2025

This research aims to determine and analyze the influence of profitability and company size on company value through company value for 2019-2022. This type of research is descriptive quantitative, which was processed with Eviews using the path analysis method, namely direct and indirect influence. The population in this research is all hotel companies in Indonesia. The sample consisted of 10 hotel companies listed on the Indonesian Stock Exchange. The sampling technique uses purposive sampling. The partial research results show that profitability significantly affects capital structure and company value. A high ROE in hotel companies significantly affects capital structure because they can obtain loans at lower interest rates, show permits, and have the option to use less debt. A high ROE reflects management's efficiency in using capital and is attractive to investors looking for a high rate of return.
Turismo prossimale e riabilitazione territoriale. Le aree interne dell’Appennino marchigiano
Authors: Ugolini Monica
Published: February 2025

Introduzione: Obiettivo dell’articolo è dimostrare come alcune aree interne dell’Appennino, in particolare quelle del Montefeltro, possiedano caratteristiche, peculiarità e potenzialità capaci di attivare e sostenere un turismo di prossimità, non solo nei momenti di emergenza, ma anche successivamente quale recupero e riappropriazione di spazi carichi di risorse culturali e ambientali. Metodologia: A tal fine sono stati effettuati incontri, confronti e inchieste con responsabili di enti locali di varia scala e diverso grado e impegno politico-territoriale. In particolare la metodologia ha previsto uno studio sul campo, l’ascolto di insider impegnati direttamente a raccontare il territorio. Una combinazione di analisi dei dati riguardo ai flussi turistici e di metodologie qualitative (interviste e osservazioni etnografiche) con lo scopo di sviluppare strategie di valorizzazione del patrimonio ambientale e culturale. Risultati: I dati, a livello regionale, dimostrano un incremento del turismo prossimale da cui attendersi un recupero territoriale di spazi marginali. Discussione: Interpretare, nell’area scelta a campione, lo sviluppo di tale incremento e soprattutto prevedere le possibili dinamiche di sviluppo. Conclusioni: Il patrimonio presente nell’area indagata è in grado di sviluppare un turismo di prossimità sostenibile, fattore di sviluppo locale, foriero anche di ricadute economiche, ma soprattutto di rianimazione culturale e di ripresa sociale.
Entrenamiento del ChatGPT, lectura, pensamiento crítico y creatividad
Authors: Valls Morató Joaquim
Published: February 2025

Introducción: Este artículo revisa la relación entre el entrenamiento del modelo ChatGPT y las metodologías empleadas por parte de padres y maestros para enseñar a los niños la lectura experta, y fomentar, con ello, el pensamiento crítico y la creatividad. Metodología: Se realizó una revisión narrativa exhaustiva de la literatura científica, utilizando bases de datos académicas y libros de divulgación. Resultados: El entrenamiento de ChatGPT incluye la adquisición de datos, ajustes iterativos y aprendizaje por refuerzo con retroalimentación humana, lo cual es parecido a las técnicas de lectura compartida y repetitiva empleadas por padres. Se encontró que tanto en modelos de IA como en el aprendizaje infantil, la integración de nueva información en redes preexistentes es crucial para la retención y comprensión a largo plazo. Discusión: Los resultados muestran que las técnicas de aprendizaje utilizadas en ChatGPT pueden ofrecer estrategias valiosas para la educación infantil. La repetición y el feedback son fundamentales en ambos contextos, aunque existen diferencias significativas, como la falta de conciencia en los modelos de IA. Conclusiones: Las metodologías de entrenamiento de ChatGPT y las estrategias educativas infantiles comparten principios esenciales. Sin embargo, no son menospreciables las diferencias intrínsecas entre la inteligencia artificial y la inteligencia natural.
¿Cómo determinan la convergencia de una serie numérica los estudiantes? Un análisis de sus argumentos
Authors: Rosas Mendoza Alejandro Miguel , Ramírez Oviedo Luis Fernando , Molina Zavaleta Juan Gabriel
Published: February 2025

Introducción: Este trabajo tuvo como finalidad analizar las características de los argumentos de estudiantes mientras resuelven tareas matemáticas sobre la convergencia o divergencia de series numéricas infinitas.  Estudiar los argumentos de los estudiantes permite revisar su razonamiento y su comprensión de las series numéricas. Metodología: Para estudiar los argumentos de los estudiantes se utilizó el modelo argumentativo de Toulmin, el cual ha sido utilizado en el estudio de diferentes formas de argumentación y en múltiples contextos. La investigación es de corte cualitativo para lo cual se construyeron tablas de cotejo para analizar la estructura de los argumentos y caracterizarlos. Resultados: Se aplicaron dos actividades de 3 series numéricas infinitas para que los alumnos determinaran su convergencia o divergencia, se recopilaron datos escritos y audios con las respuestas y justificaciones. Discusión: Los argumentos incluyen diferentes elementos de los que el modelo de Toulmin establece. Conclusiones: Entre las conclusiones obtenidas, se encontró que los estudiantes basan su argumentación en los criterios de convergencia de las series, este constituye su punto de partida para desarrollar su proceso argumentativo sin considerar, en muchos casos, los datos presentes en la actividad o tarea matemática.
Descripción Narrativa de la Evolución Histórica Normativa en Seguridad y Salud en el Trabajo en Colombia
Authors: Rodriguez Daniel Andres
Published: February 2025

Introducción: La evolución de las normativas en Seguridad y Salud en el Trabajo (SST) refleja un crecimiento continuo en la conciencia sobre la protección de los trabajadores. Este estudio revisa la evolución histórica de las regulaciones de SST en Colombia, con enfoque en la Prevención de Riesgos Laborales (PRL). Metodología: Se realizó una investigación documental utilizando fuentes científicas, repositorios normativos y actualizaciones de organismos legales colombianos. Se empleó el análisis de contenido para interpretar los instrumentos normativos implementados. Resultados: El análisis muestra un progreso sostenido en las normativas de SST en Colombia, evidenciando una mayor conciencia sobre la protección integral de los trabajadores. Conclusiones: La evolución de la normativa en SST en Colombia refleja un compromiso creciente con la seguridad laboral, avanzando hacia condiciones más saludables y seguras para los trabajadores.
La filosofía juvenil de Nietzsche desde la óptica de la filosofía como forma de vida de Pierre Hadot
Authors: García Pedraza Gilbert
Published: February 2025

Introducción: El presente artículo se propone crear un diálogo entre la concepción de la filosofía como forma de vida de Pierre Hadot y las preocupaciones en el pensamiento de Nietzsche sobre las conexiones entre filosofía y vida. Tal conexión se realizará desde la óptica hadotiana de la inseparabilidad y la inconmensurabilidad entre discurso filosófico y vida filosófica. Buscando evidenciar, cómo a tal campo semántico resulta sumamente fructífero para comprender la vertebral preocupación nietzscheana por la formación. Metodología: Preocupación que emerge como un conflicto de metodologías entre la concepción cientificista de la filología moderna, y el papel de una filología preocupada por formar el presente, tal como la piensa Nietzsche. Resultados: Tal espectro de discusiones nos permitirá aventurarnos a dar una mirada general al complejo campo semántico que Nietzsche produce para comprender las relaciones entre filosofía y vida. Discusión: Lo cual, nos conduce a ver un desarrollo de esta concepción desde la imagen del “filólogo como educador” al “filósofo como educador” que se desarrolla en el Schopenhauer como educador.Conclusiones: Lo que nos llevará a concluir el modo en que la esencial preocupación nietzscheana por la formación humana se instancia en una comprensión filosófica como “modo de vida”.
Evolución de la orientación educativa en la universidad española
Authors: Bertolín Bruguera Eva , Guevara Ingelmo Raquel María
Published: February 2025

Introducción: la orientación educativa en la universidad supone una mejora cualitativa en el desempeño académico de los alumnos, en el desarrollo de sus competencias y también como instrumento de calidad de las instituciones. Metodología: a partir de una revisión documental de tipo cualitativo, se pretende mostrar la evolución seguida desde la segunda mitad del siglo XX hasta la actualidad. Resultados: La LOU fue la primera norma en destacar el importante papel de la orientación educativa como servicio hacia los estudiantes universitarios y reconocerla como un derecho fundamental de éstos; no obstante, no llegó a estructurarse en un sistema integral dotado de elementos básicos. La reciente LOSU continúa con ese legado y acoge el derecho a la orientación educativa dentro de las llamadas “unidades básicas”, que hacen referencia a las tres áreas de la acción orientadora: personal, social y profesional. Conclusiones: Actualmente, la regulación de la orientación en la universidad no ha pasado de ser un constructo teórico que deberá ir desplegándose en las sucesivas normas y marcos de actuación. La orientación educativa universitaria va ganando terreno y lo hace caminando hacia una visión integradora y humanista de educación a lo largo de la vida.
Turismo en pueblos originarios. Construcción de posibilidades hacia la sustentabilidad
Authors: Jurado Celis Silvia Nuria
Published: February 2025

Introducción: Una de las directrices del turismo rural es su implementación en los pueblos originarios, donde la autonomía es una de las características que les distinguen. Es el caso del Geoparque Mixteca Alta, localizado al sur de México, donde nueve municipios regidos por Sistemas Normativos Indígenas han determinado sitios con valor geológico dentro de su territorio, para implementar el geoturismo. El objetivo del estudio es analizar el proceso de apropiación del proyecto turístico en los municipios del Geoparque, a partir de un análisis de fortalezas y debilidades en términos de la sustentabilidad y la autonomía. Metodología: La metodología implementada es la Investigación Acción Participativa, con herramientas como la observación participante, grupos focales y entrevistas semiestructuradas en el periodo de octubre de 2023 a la fecha. Resultados: Los primeros hallazgos apuntan a que existen prácticas autonómicas de los pueblos originarios que permanecen y se aplican en la toma de decisiones del Geoparque. Discusión: Estas han permitido la conservación de los sitios y detenido el acaparamiento de los mismos por parte de actores sociales externos. Conclusiones: Dichas prácticas forman parte del capital social de estos pueblos, que ha sido un factor clave para permitir la conservación cultural y ambiental para la sustentabilidad.
Análisis sociohistórico del documental Mujeres con pelotas: la historia del fútbol femenino en Argentina durante 2008- 2010
Authors: Méndez De Dios Beatriz
Published: February 2025

Introducción: El fútbol femenino está aún en crecimiento, después que en 1991 se anunciara la Primera Copa Mundial de Fútbol Femenina, en algunos países todavía los hombres y las mujeres futbolistas no tienen las mismas condiciones para jugar profesionalmente y esa situación se puede transmitir a través del cine documental Metodología: Cualitativa, utilizando como método la hermenéutica profunda que busca comprender la manera y el contexto en el que se producen y reciben las formas simbólicas, interiorizadas y materializadas. Resultados: El método de la hermenéutica profunda permite conocer el contexto sociohistórico donde se producen las formas simbólicas materializadas. Discusión: Durante 2008-2010, el fútbol femenino en Argentina aún no se consideraba semiprofesional, por lo que los testimonios del documental Mujeres con pelotas (Argentina, 2013) van a resaltar la falta de condiciones para que las mujeres se puedan desarrollar como profesionales. Conclusiones: Aunque hay países en el mundo que se distinguen por tener una larga tradición futbolística, a las mujeres no se les dan las mismas condiciones para que puedan jugar como profesionales.
Analisis Literasi Keuangan Ibu Rumah Tangga Di Desa Sosol Kecamatan Malifut
Authors: Lopa Marlina , Raraga Filus , M. Wangka Novriani , Meti Yonas
Published: February 2025

Penelitian ini bertujuan untuk menganalisis tingkat literasi keuangan ibu rumah tangga dan faktor-faktor yang memengaruhinya. Literasi keuangan meliputi pemahaman dalam pengelolaan anggaran, utang, dan investasi yang sangat penting untuk kesejahteraan keluarga. Metode yang digunakan adalah pendekatan kualitatif dengan desain studi kasus, melalui wawancara dengan 15 ibu rumah tangga di Desa Sosol, Kecamatan Malifut, yang dipilih secara purposive. Hasil penelitian menunjukkan bahwa sebagian besar ibu rumah tangga memiliki pengetahuan dasar tentang pengelolaan keuangan, tetapi masih terbatas dalam perencanaan keuangan jangka panjang dan investasi. Faktor yang memengaruhi literasi keuangan antara lain tingkat pendidikan, akses informasi, dan dukungan sosial. Temuan ini menekankan pentingnya program pelatihan literasi keuangan untuk meningkatkan kemampuan pengelolaan keuangan keluarga
Cybersecurity maturity models for cybersecurity assessment in critical infrastructure
Authors: Khudyntsev Mykola M. , Palazhchenko Igor L.
Published: February 2025

The paper includes a list of existing maturity models (cybersecurity maturity) and an analysis of the application of these models for assessing cybersecurity, the level, and maturity of cyber security, the maturity of systems and processes for ensuring cybersecurity in critical infrastructure sectors, in the national cybersecurity system, the development of indicators and indices of the state of security (network, information security, cybersecurity).The paper substantiates and proposes a hierarchy of models for assessing the maturity of cyber security in the national cyber security ecosystem (in the national cyber security system, critical infrastructure, particularly the fuel and energy sector). The investigation's main goal is to intensify the implementation of existing assessment models using multi-level cyber security assessment models (cybersecurity maturity), accumulating statistical data on cyber incidents, cyber-attacks, and countermeasures for further use in predictive analysis and modeling.The tasks of the research are the analysis, comparative analysis of existing models for evaluating the maturity of cyber security, formulation of evaluation models using indicators of cyber security and maturity of cyber security defined by existing normative documents, as well as in the construction of a hierarchy of models for evaluating cyber security in the national system of cyber security, critical infrastructure, fuel and energy sector, development of methodological bases for assessment using cyber security indices. A draft of the methodology for assessing the cyber security of electrical networks, suitable for use in critical infrastructure, has been developed.
AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability — air-io.github.io
Authors: Qiu Yuheng , Xu Can , Chen Yutian , Zhao Shibo , Geng Junyi , Scherer Sebastian
Published: February 2025

Inertial odometry (IO) using only Inertial Measurement Units (IMUs) offers a lightweight and cost-effective solution for Unmanned Aerial Vehicle (UAV) applications, yet existing learning-based IO models often fail to generalize to UAVs due to the highly dynamic and non-linear-flight patterns that differ from pedestrian motion. In this work, we identify that the conventional practice of transforming raw IMU data to global coordinates undermines the observability of critical kinematic information in UAVs. By preserving the body-frame representation, our method achieves substantial performance improvements, with a 66.7% average increase in accuracy across three datasets. Furthermore, explicitly encoding attitude information into the motion network results in an additional 23.8% improvement over prior results. Combined with a data-driven IMU correction model (AirIMU) and an uncertainty-aware Extended Kalman Filter (EKF), our approach ensures robust state estimation under aggressive UAV maneuvers without relying on external sensors or control inputs. Notably, our method also demonstrates strong generalizability to unseen data not included in the training set, underscoring its potential for real-world UAV applications.
An Enhancement of Haar Cascade Algorithm Applied to Face Recognition for Gate Pass Security
Authors: Antipona Clarence Alicante , Magsino Romeo , Dioses Raymund , Mata Khatalyn
Published: February 2025

This study is focused on enhancing the Haar Cascade algorithm to decrease the false positive and false negative rate of face recognition in images with variations in lighting, facial expressions, and occlusions to increase accuracy. The face recognition library was applied with Haar Cascade where 128-dimensional vectors representing the unique features of a face were encoded. The Enhanced Haar Cascade Algorithm produced a 98.39% accuracy rate, in comparison, the Haar Cascade Algorithm achieved a 46.70% - 77.00% accuracy rate. Both algorithms used the Confusion Matrix Test with 301,950 comparisons using the same dataset of 550 images. The 98.39% accuracy rate shows a significant decrease in false positive and false negative rates in facial recognition in images with complex conditions
A Literature Review: Examining Visual Design and Multimedia Elements Role in Fighting Misinformation and Strengthening Media Trust
Authors: Arbi Hafiz , Juhana Agus
Published: February 2025

The development of digital media has presented new challenges in maintaining the credibility of information, especially amidst the increasing prevalence of misinformation and hoaxes that spread rapidly through social platforms. This study aims to explore how visual design and multimedia elements can contribute to building audience trust in media and encouraging engagement in disseminating credible information. Using the Systematic Literature Review (SLR) method, the research follows a selection procedure based on PRISMA 2020 guidelines to ensure the validity and quality of the included studies. From 20 articles that meet the inclusion criteria, the key findings indicate that consistent and aesthetically pleasing visual design, particularly those capable of touching the emotional aspects of the audience, plays a crucial role in enhancing media credibility and brand loyalty. Additionally, interactive multimedia approaches, such as dynamic infographics and narrative-based short videos, not only capture audience interest but also strengthen their intention to share credible information.
This study concludes that the application of strong visual elements and emotion-based multimedia strategies can help counter misinformation by strengthening media brand equity. Recommendations for future research include developing interactive designs that can educate audiences in identifying credible information and collaborating with media professionals to ensure broader impact. These findings provide practical guidance for media in integrating visual design as an effective tool to build trust and enhance information literacy in the digital age.
A Modular Track and Signaling Simulation Trainer for Railway Technology Program
Authors: Dumalag Alexi Maxine A. , Jatulan Mark Joseph A. , Marmol Marlon P. , Taneo Abegail A. , Sison Ghazali Illuminada R. , Garcia Julius G. , Bunag Sherlie D. , Ballesteros Mariezol V. , Delizo Carlo Jay G.
Published: February 2025

The modular railway track and signaling simulation trainer research project was developed to provide an enjoyable and educational tool to train railway students and professionals upon recognizing the need for effective training in traffic and signaling safety-critical areas. It provides a miniature model that accurately replicates railway switch points and signaling systems with modules depicting track layouts and signaling conditions created using Programmable Logic Controller (PLC) and Human-Machine Interface (HMI). The prototype's accurate and efficient miniature railway model showed that the simulation trainer was very effective. The survey demonstrated that railway students and professionals were satisfied with the trainer's performance and various use and educational potential for students. This simulation trainer design successfully changes railway training programs because it offers a relatively safe and exciting environment that allows learners to get practical experience and understanding of railway operations. The modular design of the trainer will facilitate future expansion and customization, making it adaptable to railway training needs and technology. The simulation trainer should include level crossings, track circuits, and train detection systems for further investigation. This would provide an improvement in the comprehensiveness and flexibility of the trainer, therefore helping with providing skilled railway workers.
Empowering ESL Learning: Motivation in Acquiring English as a Second Language
Authors: Dela Rosa Reyn Alyana Legaspi , Santos Crissel Kylle , Yaya Kristan
Published: February 2025

ABSTRACT: This study investigates the role of motivation in enhancing English as a Second Language (ESL) acquisition among Grade 7 students. It employs a qualitative-descriptive method as it analyzes the complex dynamics of motivation in the context of English as a Second Language (ESL) learning, providing a nuanced grasp of the motivational elements that influence ESL learners' language acquisition journeys. The study investigates the varied nature of motivation using interviews and thematic analysis, with the goal of uncovering ESL learners' subjective experiences, challenges, and attitudes. Grasping the complexities of motivation within the ESL context is dominant, as it can influence students' engagement and language proficiency. Results of the study have shown that English as a Second Language Learning (ESL) is one of the common factors that affects students learning in a classroom setting. Motivation also plays a significant role in determining students’ academic performance and overall accomplishment in acquiring proficiency in English as a Second Language (ESL). The study assessed the motivational factors among Grade 7 students, focusing on Integrative Orientation with a composite mean of (5.14) and Instrumental Orientation with a composite mean (5.07) respectively. Problems encountered were evaluated through Survey Questionnaires (composite mean: 3.65) and Interviews. Integrative Orientation significantly influences English as a Second Language motivation, while difficulties in English language usage emerge as primary issues. Grade 7 students, undergoing a transitional academic phase, face challenges in adjusting to learning. Recommendations of the researchers focus on academic importance that will help enhance and increase learning motivation of the students in English as a Second Language.
Articles Illustration of “Semangat Pelanusa” on Pelanusa Community Merchandise as a Promotional Media
Authors: Syahid Muhamad Ihsan , Jeremiah Sean Elbert
Published: February 2025

Pelanusa is a community in Malang that focuses on crafts and community empowerment. However, from the many activities carried out by this community, there are still many people who do not know about the Pelanusa community and also ineffective promotional media. This research aims to design illustrations on Pelanusa community merchandise as a promotional medium to introduce the values and identity of the community to the wider community. The research methodology uses a qualitative approach with data collection through interviews and observations and the use of the Design Thinking method which consists of the Empathize, Define, Ideate, Prototype, and Test stages. The results showed that the merchandise successfully attracted the attention of the community, as evidenced by the positive response during the community exhibition at Kebun Winih, Singosari. Visitors were interested in buying merchandise because of its creative design and relevance to the identity of Pelanusa Community. In addition to being a product, this merchandise serves as an effective visual promotional medium, because its use by the community indirectly introduces the community to a wider audience. This research concludes that designing merchandise illustrations can be an effective promotional strategy, while strengthening the image and values of the community.
Drip Irrigation Technology for Watermelon Crops with IoT-Based Solar Panels for Efficient Use of Energy Resources
Authors: Azahra Maulida , Styawati Styawati
Published: February 2025

Water scarcity and energy inefficiency are major challenges in modern agriculture, particularly for water-intensive crops like watermelon. This study aims to develop a sustainable solution by integrating drip irrigation technology with IoT-based solar panels to optimize water and energy use. The purpose of this research is to design and test a system that uses renewable solar energy and IoT sensors to monitor soil moisture and control irrigation automatically, providing an efficient and environmentally friendly solution for watermelon farming. The methodology involves the development of a prototype system powered by solar panels and equipped with IoT sensors for real-time data collection and system management. The findings demonstrate that the solar-powered IoT drip irrigation system significantly reduces water consumption and energy costs compared to conventional irrigation methods, ensuring efficient water use while operating off-grid. The practical implications of this study suggest that this integrated system can be scaled for large-scale farming operations, improving crop yields and contributing to sustainable agricultural practices. The results highlight the potential of combining renewable energy, IoT, and modern irrigation techniques as a viable solution to address global challenges of water conservation, energy efficiency, and sustainable farming.
Digital Financial Strategies in Managing SMEs to Maximize Profitability
Authors: Alamsyah Wahyu , Yulianti Rahmah , Khairuna Khairuna , Nurhayati Rasyedia , Masyitah Masyitah
Published: February 2025

Micro, Small, and Medium Enterprises (MSMEs) are the backbone of the Indonesian economy. However, they continue to face significant challenges in financial management. Key issues include a lack of financial literacy, manual record-keeping prone to errors, limited access to formal financial services, and minimal adoption of digital technology. These obstacles often lead to operational inefficiencies, data-less decision-making, and low market competitiveness. Digital financial solutions emerge as innovative tools to address these challenges. By leveraging digital technology, MSMEs can enhance operational efficiency, accelerate transactions, support strategic decision-making, and improve access to formal financial services. This article explores various benefits of digital financial solutions, ranging from financial transparency and cost savings to the potential for significantly increasing profitability. Additionally, the article presents practical and relevant digitalization strategies for MSMEs, including step-by-step adoption approaches and case studies of successful MSMEs that have embraced technology. Through the use of illustrations such as graphics, flowcharts, and real-world examples, this article aims to provide actionable and inspiring insights for MSME players in optimizing digital finance. By doing so, MSMEs can achieve sustainable business practices and improve competitiveness in the digital economy era.
Effectiveness of ChatGPT vs. Perplexity AI in English Language Learning at the University of Serambi Mekkah
Authors: Sabrina Sabrina , Shafa Cut Firyal , Ainun Ainun , Askia Nur , Maisarah Putri , Susilawati Puja
Published: February 2025

This study aims to compare the effectiveness of ChatGPT and Perplexity AI in the English Language Learning. It employs a mixed-method approach to determine the effectiveness of the two AI tools, ChatGPT and Perplexity AI, in improving English language learning at the University of Serambi Mekkah. Questionnaires and interviews were used to collect data. The results showed that 73.3% of participants favored the use of ChatGPT because of its interactive features and easy navigation. Sixty percent believed that ChatGPT provides more accurate information as opposed to Perplexity AI. This helps to motivate the learners and boost their confidence in using the language. Their counterpart, Perplexity AI, was preferred by a minority of respondents (13.3%) for its speed and accuracy. In this respect, ChatGPT was rated by participants as “highly effective” in improving their English skills, and 40% were “highly satisfied”. In contrast, only 26.7% considered Perplexity AI more effective and satisfying. Though ChatGPT is undeniably favored, the study acknowledges how Perplexity AI may serve as customized support, in satisfying specific needs regarding language learning. Both are very helpful for English language acquisition, though ChatGPT is favored because it is more appealing. These findings would be useful to educators in incorporating appropriate AI technologies into language curricula to meet various learners' needs and improve learning outcomes. This research has emphasized how AI tools support the more conventional ways of teaching a language and gives useful insight that is relevant to further education.
E Evaluation of Bandwidth and Latency of Wireless Sensor Networks Using JPERF Simulation
Authors: Safana Nadiatul Safana , Pazrian Novan , Hafidha Muhammad Akhyar , Yanti Yeni
Published: February 2025

WSN is a sensor network that uses wireless communication to connect sensor nodes This research discusses the evaluation of wireless sensor networks (WSN) which was a case study carried out at the Banda Aceh Mayor's Office, with a focus on measuring bandwidth and latency using the JPerf application. Testing is carried out through star topology simulation, where the server and client are connected to each other via an access point. The TCP protocol is used for bandwidth measurements, while the UDP protocol is used for latency measurements. Test results show the average bandwidth ranges from 7,518-8,029 Kbits/s with significant fluctuations due to network interference. Network latency was recorded as stable at 996 Kbits/s with low jitter. This evaluation provides recommendations for improving network performance through optimizing QoS management and strategic device placement. With this implementation, network reliability can be increased to support operational activities efficiently.
A practical approach to the development of English education in remote areas of China enabled by AI technology
Authors: Li Jialing , Ren JieYing
Published: February 2025

With the development of economic globalization, the international status of English is becoming increasingly prominent. Especially in remote areas, the need for English basic education is more urgent. In recent years, the innovation of AI technology has promoted the development of higher quality English education in remote areas, including personalized English learning, intelligent English tutoring system, virtual English learning environment and so on. In the issue of AI-enabled English education, whether it is the technology itself, or the cultivation of ideas and methods, it is global. Therefore, it is necessary to form broader, more comprehensive and deeper cooperation on the network platform on a global scale to promote large-scale innovative talent training.
Digitalization empowers the innovative development of agricultural vocational education
Authors: Wang Jing , Li ShiYi , Lin YuHan
Published: February 2025

AI-empowered high-quality innovation and development of agricultural vocational education is a key step to optimize the allocation of agricultural vocational education resources and improve the level of agricultural vocational education, and it is also an inevitable choice to promote the breakthrough development of agricultural innovation. AI as a means of shortcut, with its unique role, is constantly filling the gap of agricultural talents. At the same time, in the process of the continuous integration and development of AI and agricultural vocational education, certain educational risks have also arisen, and how to correctly avoid risks and promote the high-quality innovation and development of agricultural vocational education is a new topic of the times.
AI empowers the high-quality development of financial and economic college education: opportunities, dilemmas and solutions
Authors: Wang Jing , Su YunNan , Guo MengXin
Published: February 2025

With the development of the digital economy, AI has gradually given full play to its advantages, improved the overall development of the financial industry, and enhanced the momentum of the industry. For college students in the contemporary financial industry, it is both an opportunity and a challenge. On the basis of analyzing the changes in the financial industry, this paper puts forward the corresponding measures that college students should take for the reference of relevant personnel
The Role of Software Engineering in Digital Transformation of Industry 4.0
Authors: Naufal Wandi , Dimas Novario , Tauhid Naufal , Sulistiani Heni
Published: February 2025

Industry 4.0 is characterized by the adoption of advanced technologies that are changing the way companies operate, interact with customers, and produce products. One of the key factors in the success of digital transformation in this era is software engineering. Innovative and flexible software is the foundation for the implementation of technologies such as the Internet of Things (IoT), artificial intelligence (AI), big data, and automation that support modern industrial operations. This article discusses the critical role of software engineering in accelerating the adoption of Industry 4.0, with a focus on developing software that supports interoperability, scalability, and security in an ever-evolving digital ecosystem. It also discusses the challenges faced by software developers, including the need for new skills, integration of legacy systems, and management of big data generated by devices and sensors. With the right software engineering approach, companies can harness the full potential of Industry 4.0 technologies to improve operational efficiency, productivity, and innovation.(Furstenau et al., 2020)
Optimizing AI-Driven Reservation Systems for Travel Agencies Using Human-Centered Design Principles to Improve Efficiency and Accuracy
Authors: Islamiyah Mufidatul , Sunarto Billy Tian
Published: February 2025

Traditional land-based travel agencies offering services like taxis, cars, minibusses, and buses face inefficiencies due to manual reservation processes. These methods often lead to errors and delays, resulting in customer dissatisfaction. This paper presents the development of a web-based reservation system designed using Human-Centered Design (HCD) methodology to reduce errors, accelerate processes, and enhance customer experience. AI is integrated to automate order validation and confirmations, while ensuring staff maintain control over the final steps. Surveys and interviews with stakeholders, including business owners and customers, will be conducted to refine the system based on real-world insights.