bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluación económica-financiera de la industria bananera del sector G4630.11 en el Ecuador en los periodos 2019 al 2023.
Authors: Quintanilla Gavilanes Jorge Aníbal , Moreno Campoverde María Alexandra , Icaza Guevara María De Fátima , Chagerben Salinas Lenin Ernesto
Published: December 2024

El presente artículo de investigación aborda la evaluación económica-financiera del sector G4630.11 que corresponden a las empresas dedicadas a compra y venta al por mayor de banano (exportadores) en el Ecuador de los periodos 2019 al 2023, donde se planteó como principal propósito evaluar el desempeño económico-financiero de esta industria, para aquello se aplicó como diseño metodológico una investigación no experimental de corte transversal con enfoque cuantitativa usando como método el análisis documental con alcance descriptivo; se procedió a descargar la información financiera del portal de información de la Superintendencia de Compañías, posterior se trató los datos y se calculó ratios financieros a estas empresas segmentada según el tamaño de la empresa en micro, pequeña, mediana y grande empresa, obteniendo como resultados de manera general leves incrementos en la inversión en activos y en las ventas; respecto a la eficiencia económica en el uso de los activos se evidenció que las pequeñas y grandes empresas muestran una mejor performance, el segmento de las empresas medianas muestran resultados aceptables; las microempresas presentan resultados bajos; sin embargo, las empresas medianas y microempresas obtuvieron mejores rendimientos sobre sus activos en comparación a las pequeñas y grandes empresas; de esta manera se puede concluir que a pesar de tener un alto nivel de efectividad en el uso de los activos para la generación de ventas si no se controlan los costos y gastos tanto productivo como operativo provocará que las ganancias de las empresas sean mermadas.
Estrategias innovadoras de fomento a la lectura para fortalecer las competencias comunicativas en el nivel básico elemental
Authors: Mendieta Vera Maria Rosa , Macías Ponce Kathy Biviana , Macías Navarrete Andrea Lissette
Published: December 2024

En un contexto donde el desarrollo de habilidades de comprensión lectora es esencial para el rendimiento académico y el crecimiento personal, se exploran metodologías que integran herramientas digitales y actividades lúdicas para incentivar el hábito lector. El presente artículo aborda la implementación de estrategias innovadoras de fomento a la lectura para fortalecer las competencias comunicativas de los estudiantes de nivel básico elemental.
 
Esta investigación se sustenta en un enfoque mixto (cualitativo/cuantitativo) con un diseño exploratorio, donde se seleccionaron una muestra de 21 estudiantes y 3 docentes en el nivel básico elemental, a quienes se les aplicaron instrumentos como encuestas, guía de entrevista y observación, para medir el impacto en las competencias comunicativas de los estudiantes, centrándose en la comprensión lectora, la expresión oral y escrita.
 
Los resultados demostraron que existe una mejora significativa en las competencias comunicativas de los estudiantes que participaron en el estudio. Esto se debe a que los docentes utilizan de manera regular algunas estrategias como los clubes de lectura y la conversación literaria que logran generar un mayor interés hacia el hábito lector, así como la mejora de la fluidez en la expresión oral y un aumento en la comprensión de textos. En conclusión, las estrategias propuestas en esta investigación, han resultado ser efectivas para el desarrollo de las competencias comunicativas, sugiriendo su implementación en el currículo educativo para el nivel básico elemental.
Optimización del uso de bambú en el diseño de interiores: estrategias sostenibles y aplicaciones innovadoras para viviendas contemporáneas
Authors: Benites Mora Lucrecia de las Mercedes , Franco Zavala Ana Zoila
Published: December 2024

El deterioro ambiental global y la urgente necesidad de soluciones constructivas eco-responsables impulsan esta investigación sobre la optimización del bambú como material innovador para diseños de interiores contemporáneos. El objetivo principal es explorar las potencialidades tecnológicas, estéticas y sostenibles del bambú, trascendiendo su consideración tradicional como material constructivo. La metodología empleada adopta un enfoque mixto con predominio cualitativo, integrando entrevistas en profundidad con expertos interdisciplinarios, análisis documental sistemático y estudios experimentales de laboratorio. Se seleccionó una muestra intencionada de profesionales con experiencia en diseño sostenible, abarcando diseñadores de interiores, arquitectos, ingenieros de materiales y especialistas en sostenibilidad ambiental. Los resultados revelaron innovaciones significativas: incremento de hasta 150% en propiedades mecánicas mediante nanotecnología, reducción del 72% en huella de carbono y desarrollo de materiales con funcionalidades avanzadas como regulación térmica adaptativa y capacidad de autoreparación. La investigación concluye que el bambú representa más que un material emergente: constituye un paradigma de rediseño de los principios fundamentales del diseño contemporáneo, integrando innovación tecnológica, responsabilidad ecológica y expresividad estética. Se posiciona como una alternativa estructural para reimaginar espacios interiores como ecosistemas dinámicos e interconectados.
Ciudadanía digital y personas mayores. Un análisis centrado en el uso, percepción y valoración de las TIC en residentes del noroeste de la provincia de Buenos Aires
Authors: Ma. Florencia Baglione , Nuria Museres , Fátima Cuello , Lara Ponce
Published: December 2024

Tras los avances y la aceleración tecnológica del siglo XXI, las Tecnologías de la Información y la Comunicación (TIC) fueron incorporándose a innumerables actividades cotidianas adquiriendo, progresivamente, un rol indispensable en la sociedad. Si bien, se ha comprobado que el espacio digital ofrece nuevas oportunidades, el uso y apropiación de estas herramientas no es homogéneo, suscitando nuevas formas de desigualdad y exclusión que inciden en la calidad de vida. Estas situaciones también limitan el grado de participación en los diferentes espacios públicos digitales propios de la sociedad actual. En efecto, en un contexto donde predomina la modalidad virtual, las personas mayores de 60 años y más son quienes menos manejan las redes y dispositivos digitales. Nuestro objetivo es describir y caracterizar la participación de las personas mayores, residentes de Luján y San Miguel, en los espacios digitales e identificar los perfiles de usuarios. Más aún, se espera conocer el uso, percepción y valoración que posee este grupo poblacional en relación a las TIC en su trayectoria de vida, incluyendo el ámbito laboral. Se tomarán los principales resultados de un proyecto de investigación afincado en la Universidad Nacional de Luján, ejecutado desde el año 2023 hasta la actualidad. Se optó por una metodología de tipo cuantitativa basado en una encuesta integrada por preguntas cerradas, simples y múltiples, incluyendo escalas de tipo Likert.
Desafíos y oportunidades en la enseñanza del marketing digital en la carrera de Comunicación Social en la educación superior
Authors: Martínez Villacis Aquiles Elías , Estrella Romero Verónica Annabel
Published: December 2024

La enseñanza del marketing digital en la carrera de Comunicación Social en la educación superior enfrenta múltiples desafíos y oportunidades en un contexto caracterizado por la transformación digital. Este artículo analiza los principales obstáculos, como la rápida evolución tecnológica, la brecha entre el conocimiento teórico y las necesidades prácticas del mercado laboral, y la insuficiente capacitación docente en herramientas digitales emergentes. A su vez, se destacan las oportunidades que esta disciplina ofrece para el desarrollo de competencias críticas en los estudiantes, como la creatividad, el análisis de datos y la gestión estratégica de contenidos en entornos virtuales. El estudio se fundamenta en una revisión bibliográfica y entrevistas con docentes y expertos en marketing digital de distintas instituciones de educación superior. Los hallazgos muestran que la integración efectiva del marketing digital en los programas académicos requiere un enfoque interdisciplinario, la actualización constante de los planes de estudio y la implementación de metodologías activas de enseñanza, como el aprendizaje basado en proyectos y la simulación de campañas reales. Además, se identifican oportunidades para fortalecer la colaboración entre la academia y el sector empresarial, promoviendo prácticas preprofesionales y el desarrollo de proyectos conjuntos que permitan a los estudiantes aplicar sus conocimientos en contextos reales. En conclusión, la enseñanza del marketing digital en Comunicación Social representa un reto estratégico que, si se aborda adecuadamente, puede convertirse en un motor de innovación y empleabilidad en la educación superior.
Uso del óxido de zinc-eugenol en pulpectomía: Revisión de la literatura
Authors: Carrera Loachamin Armando Sebastian , Arcos Rosero Karen Ailyn , Vivas Peralta Esteban Alejandro , Collantes Acuña Jenny Edith
Published: December 2024

La investigación sobre el uso del óxido de zinc-eugenol (ZOE) en endodoncia se centra en evaluar sus propiedades, aplicaciones y limitaciones en tratamientos de pulpectomía, especialmente en dientes primarios. El objetivo de este estudio fue revisar la literatura disponible para comprender mejor los efectos del ZOE en la obturación de conductos radiculares, su biocompatibilidad y sus posibles riesgos asociados. Para ello, se realizó un análisis de diversos estudios clínicos y experimentales, utilizando una metodología de revisión bibliográfica con criterios de selección específicos para trabajos sobre ZOE en tratamientos endodónticos. Los resultados revelaron que, aunque el ZOE es eficaz en la obturación de conductos radiculares y tiene propiedades antimicrobianas y antiinflamatorias, su efectividad a largo plazo es limitada debido a su capacidad reducida para erradicar microorganismos persistentes. Además, se supervisa que su uso en dientes primarios puede causar interferencias en la intervención de los dientes sucesores si se emplea en exceso. También se identifican efectos secundarios, como la liberación de iones de zinc, que pueden inducir citotoxicidad y afectar los tejidos circundantes. En conclusión, el ZOE sigue siendo un material útil en endodoncia, pero su aplicación debe ser manejada con precaución, especialmente en dientes primarios. Es fundamental realizar un uso controlado para evitar complicaciones a largo plazo. Se recomienda realizar más investigaciones a largo plazo para evaluar los efectos completos del ZOE en los dientes primarios y los tejidos periapicales, con el fin de mejorar su seguridad y efectividad en tratamientos endodónticos pediátricos.
The Relationship Between Cognitive Control Strategies, Creative Thinking Skills (Convergent and Divergent), and the Educational Environment Among Secondary School Female Students
Authors: Alkishawi Randa , Abaalkhail Amnah
Published: December 2024

The study aimed to explore the relationship between cognitive control strategies (proactive, reactive, balanced proactive, and balanced reactive) and creative thinking (convergent and divergent) among female secondary school students, considering the impact of the educational environment. To achieve this, the study adopted a descriptive-correlational approach and employed the AX-Continuous Performance Task (AX-CPT) along with measures of creative thinking (both convergent and divergent) on a sample of 139 students. The results revealed significant relationships between divergent thinking and cognitive control strategies, as well as an association between convergent thinking and specific cognitive control measures. The importance of balanced control emerged as a key factor in enhancing creative performance. Although clear statistical differences were absent between cognitive control strategies in both convergent and divergent thinking, the graphical analyses demonstrated variations in performance across schools and different control strategies. The findings showed that School Thirteen excelled in convergent thinking, while Dar Al-Ruwad School stood out in divergent thinking and its components (fluency, flexibility, and originality), reflecting the role of the school environment in fostering creativity. A significant scientific contribution of this study is the classification of the sample into four groups using the Proactive Bias Index (PBI), which illustrates cognitive control strategies along a psychological continuum extending from proactive to reactive, with balanced strategies in between. This classification provides an integrative framework for understanding the dynamics of cognitive control and its relationship with creative thinking. Accordingly, the study recommends developing flexible educational environments that promote balanced control strategies to enhance students' creative thinking.
RESULTS OF THE II NATIONAL INTERDISCIPLINARY CONGRESS WITH INTERNATIONAL PARTICIPATION «COMORBID NEUROLOGY 2024», AND THE SATELLITE SYMPOSIUM «MUSIC AND MEDICINE — PAST, PRESENT, FUTURE»
Authors: Shushardzhan Ruben
Published: December 2024

This review analyzes the results of the II National Interdisciplinary Congress with International Participation «Comorbid Neurology 2024». It was held in a hybrid format on October 11–12, 2024, in Moscow. There were a lot of scientific and practical events. A satellite symposium «Music and Medicine — Past, Present, Future» was also held, which aroused great interest among the participants, the main results of which are also presented here.
English-Major Students’ Perspectives On The Active Learning Approach For Developing Speaking Skills At a University in Dalat
Authors: Nguyễn Thị Thuỳ My
Published: December 2024

The Active Learning Approach (ALA) has been considered a significant promise in language teaching due to its potentials in developing learners’ communicative competence. To understand how this approach works in the Vietnamese tertiary context, this study aimed to explore the perspectives of second-year English majors at a university in Da Lat regarding the effectiveness of ALA and what aspects of its application that influenced their perspectives. The study utilized a mixed-method approach, including surveys, semi-structured interviews, and class observations. The findings reveal students’ positive perceptions of ALA, especially regarding the think-pair-share activity. Main factors influencing their positive perspectives included intrinsic motivation, individual traits, past experiences with ALA, and classroom dynamics. However, several challenges in applying ALA in this context need to be addressed for the approach to reach its full potential in teaching and learning English speaking skills.
Cross-lingual Search Intent Understanding Framework Based on Multi-modal User Behavior
Authors: Wang Jiayi , Zhao Qiwen , Xi Yue
Published: December 2024

This paper proposes a novel cross-lingual search intent understanding framework leveraging multi-modal user behavior analysis. With the increasing complexity of network traffic and the diversity of user behaviors across languages, traditional approaches often struggle to capture and interpret user search intent in multilingual contexts accurately. Our framework integrates multiple behavioral signals, including query patterns, click sequences, and temporal dynamics, through a sophisticated neural tensor network architecture. The system employs a dual-encoder structure with shared parameters to maintain semantic consistency across languages while incorporating a dynamic behavior sequence learning mechanism to capture temporal dependencies. Experimental evaluation was conducted on a large-scale dataset comprising over 6 million user interactions across four language pairs (EN-ZH, EN-ES, EN-FR, EN-DE) collected over six months. The framework significantly improves over baseline methods, demonstrating an average cross-lingual accuracy of 0.923 and behavior prediction precision of 0.891. Ablation studies reveal the critical role of multi-head attention mechanisms and temporal modeling in maintaining system performance. The framework retains real-time processing capabilities with an average latency of 45ms per request under standard load conditions. Our research advances the field of cross-lingual information retrieval by introducing a practical approach to integrating behavioral signals with linguistic features, providing valuable insights for developing more sophisticated multilingual search systems.
Intent Prediction in AR Shopping Experiences Using Multimodal Interactions of Voice, Gesture, and Eye Tracking: A Machine Learning Perspective
Authors: Para Raghu K
Published: December 2024

Augmented Reality (AR) is revolutionizing the shopping experience by allowing consumers to interact with virtual products in real-time. Intent prediction – the mechanism of predicting a consumer’s intention based on their behavioral patterns and actions – is crucial for enhancing the personalization of AR shopping environments. This paper explores how multimodal interactions, including voice commands, gesture recognition, and eye tracking, can be integrated into AR shopping experiences to predict user intent more effectively. We review current advancements in multimodal interaction systems, discuss the importance of intent prediction in AR, and assess the impact of combining multiple input modalities on prediction accuracy. Our research identifies the challenges and future directions for intent prediction in AR shopping landscapes, aiming to improve user engagement, personalization, and the overall shopping experience.
Discount Vouchers and Perceived Benefits: Decision to Use Grabfood Online Food Ordering Application in Semarang City
Authors: Nugroho Aditiya Pratama , Putri Adelia Sandra Swastika , Prabowo Heri
Published: December 2024

This study examines the influence of discount vouchers and perceived benefits on consumer decisions to use the GrabFood online food ordering application in Semarang, Indonesia. The research seeks to analyze how these factors interact to shape user behavior, offering insights for optimizing marketing strategies in the competitive food delivery sector. Using a quantitative approach and Structural Equation Modeling Partial Least Squares (SEM-PLS) for data analysis, the study collected responses from 130 GrabFood users in Semarang. The findings indicate that both discount vouchers and perceived benefits significantly impact consumers’ decisions to adopt GrabFood. Discount vouchers not only directly enhance perceived financial savings but also strengthen users’ perceptions of the overall value of the service, thereby encouraging app usage. Additionally, perceived benefits, such as convenience and service quality, mediate the relationship between discount vouchers and user decisions. These results underscore the importance of strategic pricing and effective value communication in driving user engagement and retention within the food delivery industry
Research progress on identification of the high Tc superconductivity and superconducting phase in La₃Ni₂O₇ under pressure
Authors: Wang Meng
Published: December 2024

We introduce experimental investigations on the high Tc superconductivity at 80 K in the bilayer nickelate La₃Ni₂O₇ under a 14 GPa pressure. The superconductivity emerges coincidently with a structural transition from Amam to I4/mmm. Both zero resistance and diamagnetic response, which are essential for superconductivity, were observed. A multislice electron ptychography technique was employed to visualize the oxygen. The results confirm the superconducting phase is the bilayer phase of La₃Ni₂O₇ with low oxygen vacancies.
Efesiensi dan Efektifitas dalam Menajemen Keuangan Lembaga Pendidikan
Authors: Aburizal Anshori  , Fathona Khoirunnisah  , Restiyeni Aulia  , Hesti Kusumaningrum
Published: December 2024

This study aims to explore the concepts, objectives, functions, and principles of financial management in educational institutions. With the increasing complexity of educational institutions, efficient and effective financial management has become a crucial factor in supporting the creation of quality education. To achieve this goal, the study uses a literature review method. Data sources were obtained from various academic journals, reference books, and publications related to financial management in educational institutions. The results of the study show that good financial management plays an important role in supporting the overall management of education. This is achieved through the optimization of available financial resources, management of facilities and infrastructure, and improvement of the welfare of educators. The implementation of effective financial management enables educational institutions to allocate funds more strategically, thus supporting various educational programs and activities. With good financial management, it is expected that the quality of education provided by educational institutions can continue to improve over time.
Pengaruh Kemudahan Transaksi dan Layanan Terintegrasi pada Keputusan Penggunaan E-Wallet GoPay
Authors: Julita Julita  , Afya Aulia  , Ghina Muthmainnah Zain  , Kheisya Nabillah Handayani
Published: December 2024

This study aims to determine whether transaction ease and integrated services influence the decision to use the GoPay e-wallet. The independent variables in this research are transaction ease (X1) and integrated services (X2), while the dependent variable is the decision to use GoPay (Y). The population of this study consists of undergraduate and diploma students (S1 and D4) from the Faculty of Economics at Universitas Negeri Jakarta. The sampling technique employed was random sampling, with primary data collected through a Likert-scale questionnaire. The data obtained were analyzed using Stata 13 software through classical assumption tests and multiple linear regression analysis. The results indicate that, partially, transaction ease and integrated services do not significantly influence the decision to use GoPay. However, simultaneously, these variables collectively affect the decision to use GoPay.
Dampak Oligopoli terhadap Masyarakat dan Pertumbuhan Industri
Authors: Ikke Adelia Amanda  , Muhammad Yasin
Published: December 2024

Oligopoly is a market structure controlled by a small number of companies that dominate market share. This research examines the impact of oligopoly on society and industrial growth, with a focus on economic, social and structural aspects. Economically, oligopoly can reduce price competition and lead to price regulation that is detrimental to consumers. Socially, this market structure can exacerbate economic inequality and limit the opportunities of small entrepreneurs. In terms of industrial growth, oligopoly can provide stability, but also reduce incentives for innovation. This research also discusses the role of government policies, such as antitrust regulations, in reducing the negative impacts of oligopolies.  This research will also discuss the role of government policy in regulating oligopolies to ensure that the negative impacts of this market structure can be minimized. Policies such as antitrust and price regulation need to be implemented to maintain a balance between industrial stability and societal welfare.
Sâbûnî’nin Safvetü’t-Tefâsîr Adlı Eserinde Âyetler Arasındaki Münâsebet Çeşitleri
Authors: Al-maleesi Ahmed Flayyıh Raheem
Published: December 2024

Nübüvvet zincirinin son halkası olan Allah Resûlü’ne insanlığın saadeti için Allah Teâlâ tarafından son ilâhî kitap Kur’ân-ı Kerîm verilmiştir. Bu ilâhî kitabı ilk tefsir eden de Hz. Muhammed (s.a.v.) olmuştur. Kendisinden sonra başta sahabe olmak üzere tarih süreci içerisinde her zaman ve her yerde onu anlamaya ve açıklamaya çaba gösteren müfessirler çıkmıştır. Öte yandan Kur’ân’ın i‘câz ve nazmını ortaya koymak amacıyla çeşitli çalışmalar yapılmıştır. Bu minvalde Kur’ân’ın mucizevî yönüne vurgu yapmakla âyetler ve sûreler hatta âyetin kendi içerisindeki bütünlüğünü ortaya koyan Münâsebâtü’l-Kur’ân ilmi gelişmiştir. Bu çalışma Muhammed Alî es-Sâbûnî’nin (ö. 1442/2021), Safvetü’t-Tefâsîr adlı tefsirinde âyetler arasındaki münâsebet çeşitlerini, gösterdiği örnekler üzerinden işleyiş tarzını inceleyerek, bu konuya önem veren pek çok müfessirin görüş ve açıklamalarına da yer verilecektir. Böylece, çalışmamızın asıl amacı olan Sâbûnî’nin âyetler arasındaki münâsebet çeşitleri ile ilgili yaptığı açıklamaların, diğer müfessirlerden mi alıntı yapıldığına, yoksa kendi ictihâdı ile mi ortaya konulduğuna cevap bulunmuş olacaktır. Çalışmamızda Sâbûnî’nin hayatı, Safvetü’t-Tefâsîr adlı eseri ve Münâsebâtü’l-Kur’ân ilmi hakkında genel bilgiler verildikten sonra söz konusu eserde âyetler arasındaki münâsebet çeşitleri ile ilgili yapılan açıklamalar incelenecektir.
Ahlâkî İlkelerin Yoğun Olarak Ele Alındığı Hucurât Sûresi Bağlamında Şahsiyet İnşası
Authors: Şen Abdussamet
Published: December 2024

Kur’an, büyük bir amaca matuf olarak yaratılan insan için hidayet rehberidir. Yaşanılan dünyanın anlam ve amacını insana öğreten bir düsturdur. Kur’an’ın şahsiyetli bir birey inşa etme süreci şüphesiz onun temel hedefleri arasındadır. Bu süreçte güzel ahlâk kuralları önemli bir yer tutar. Yeryüzünün en güzide varlığı olan insan bu kurallar vasıtasıyla kendisine yakışan bir hayat yaşar. Onun şahsiyetli bir birey olma noktasında kemale doğru yürüyüşü de yine bu ahlâki kurallar vasıtasıyla olur. Bunlara uyulmadığında ise gerek ferdi gerekse toplumsal birçok problemle karşı karşıya kalınır. Zira insan yaratılışı itibariyle yüksek hedeflere ulaşabileceği gibi, aşağıların en aşağısına da düşebilir. Potansiyel olarak kendisinde iki yön de bulunmaktadır.
Şahsiyet, kişinin davranış biçimlerinin içselleştirilmesi olup bireyin ortaya koyduğu eylemlerin ahlâkî olmasıyla doğrudan bağlantılıdır. Bu doğrultuda ahlâkî ilkelerin yoğun olarak ele alındığı Hucurât sûresini ele aldığımızda hangi zaman ve mekânda olunursa olunsun; ontolojik düzlemde insana verilmesi gereken değerin ele alındığı görülür. Zira sûrede başından sonuna kadar insanların ihtiyaç duydukları ahlâki kurallar, belirli bir anlam örgüsü çerçevesinde ortaya konulmuştur. Bu kurallar insanların inançları ile eylemleri arasında içsel bağlantılar kurarak şahsiyetin olgunlaşması sürecinde düzenleyici bir mekanizma görüntüsü verir.
Biz bu çalışmamızda Hucurât Sûresi özelinde şahsiyet inşası konusunu, çalışmamızın sınırlarını aşmamaya gayret göstererek ele almaya çalışacağız.
İhsân ‘Abdu’l-Kuddûs’un “Ene Hurra” Adlı Romanının Tahlili
Authors: Güzelçiçek Salih , Kaya Osman
Published: December 2024

Arap edebiyatının önemli isimlerinden biri olan İhsân ‘Abdu’l-Kuddûs, roman ve hikâye türlerinde eserler kaleme almış ve modern Arap edebiyatına önemli katkılar sağlamıştır. İhsân ‘Abdu’l-Kuddûs’un Ene Hurra romanında Mısır’ın bir mahallesinde toplumsal kurallara başkaldıran genç bir kızın özgürlük mücadelesi anlatılmıştır. Yazar, diğer romanlarının çoğunda olduğu gibi bu romanında da başkahramanı kadın karakterlerden seçmiştir. Mısır toplumunda kadının yerini, kadına biçilen rolü eleştirel bir yöntemle anlatmış ve bu bakışı açısının değişmesini istemiştir. Ene Hurra romanı, Mısır edebiyatında önemli bir yazarın kadının sosyal hayata katılması fikrini nasıl değerlendirdiğini ortaya koymaktadır. Bu çalışma ile Ene Hurra romanı yanı sıra İhsân ‘Abdu’l-Kuddûs’un edebî anlayışı ve üslûbu tanıtılmaya çalışılmıştır. Çalışmada söylem ve içerik analizi tekniği kullanılmıştır. Çalışma yazarın Ene Hurra romanı ile sınırlı tutulmuştur. Ene Hurra romanı tanıtılmış, olay örgüsü ve şahıs kadrosu hakkında bilgi verilmiştir. Anlatıcı, bakış açısı, zaman, mekân, dil ve üslûp gibi yapısal unsurlar incelenmiştir. Romanda işlenen temalara değinilmiş ve romanın teknik ve tematik açıdan tahlili yapılmaya çalışılmıştır.
Sostenibilidad rural: Mejoramiento del proceso industrial para la obtención de productos derivados de la semilla de calabaza chihua
Authors: Tass Salinas Nancy , Arcos Juárez Rosa Eva , Rejón Castro Cristina Isabel , Montejo Hernández Marlene
Published: December 2024

El logro de la sostenibilidad rural inicia con el cambio de pensamiento de la sociedad, teniendo un objetivo a alcanzar y la estrategia de cómo lograrlo. La presente investigación se centra en optimizar los métodos de obtención de la semilla de calabaza chihua (Cucurbita argyrosperma Huber), con miras a generar la sostenibilidad y eficiencia en el contexto rural. Lo anterior, denota que el tipo de investigación es aplicada con un corte transversal, considerando una población de 277 productores rurales de la Ruta 2 del Programa Sembrando Vida en el municipio de Balancán, Tabasco. Se realizó el diagnóstico del proceso actual mediante entrevistas y análisis de campo en las comunidades rurales que comprenden los Ejidos de Apatzingán, Sacaolas, Cenotes, Capulín y Ramonal, identificando los puntos críticos de ineficiencia. Posteriormente, se probaron alternativas de procesamiento que incluyeron técnicas de optimización energética, reducción de residuos y mejoras en el almacenamiento y conservación del producto. Asimismo, se aplicaron principios de ingeniería de procesos y se evaluaron opciones para automatizar parcialmente algunas etapas críticas. Los resultados muestran que la propuesta reduce el tiempo de procesamiento en un 20%, aumenta el rendimiento del producto final en un 15% y disminuye los residuos en un 30%. Además, los productores percibieron un incremento en la calidad de los productos derivados, lo que propicia generar la competitividad en su segmento de mercado. Estos hallazgos sugieren que es posible implementar tecnologías adaptadas a contextos rurales que no solo mejoren la producción, sino que promuevan la sostenibilidad y desarrollo de las comunidades. El estudio indica que el mejoramiento de procesos industriales para la obtención de derivados de la semilla de la calabaza chihua representa una vía prometedora hacia la sostenibilidad y competitividad en el ámbito rural.
Revisión de literatura en el diseño de sistemas híbridos de energía para minimizar costos, emisiones y maximizar producción
Authors: Quintero Ávila Cristina , Poblano Ojinaga Eduardo Rafael , Valles Chávez Adán , Woocay Prieto Arturo , Rodríguez Mejía Jeovany Rafael
Published: December 2024

El presente análisis revisa los avances recientes en cuatro áreas clave de la energía renovable y la infraestructura eléctrica: sistemas fotovoltaicos, hidrógeno verde, energía eólica y redes inteligentes (Smart Grid). Se destaca que los sistemas fotovoltaicos, ampliamente adoptados, están mejorando su viabilidad económica y su integración en redes eléctricas mediante desarrollos en materiales, eficiencia y almacenamiento. El hidrógeno verde, como solución para almacenar energía renovable a gran escala, avanza en producción y enfrenta desafíos técnicos y económicos. La energía eólica mejora con turbinas más grandes y eficientes, así como enfoques innovadores para integración y mitigación ambiental. Las redes inteligentes son cruciales para la gestión eficiente y segura de la energía renovable distribuida, empleando tecnologías de comunicación, sensores y análisis de datos. Se resalta el progreso y los desafíos constantes en estos campos para lograr una transición energética sostenible global.
Logistics Strategies for the Distribution of Humanitarian Aid
Authors: Erika Barojas-Payán  , Diana Sánchez-Partida  , Rubén Villafuerte-Diaz  , Victorino Juárez-Rivera
Published: December 2024

The purpose of this document is to track down feasible locations for the installation of pre-positioned warehouses and their inventory levels, in the different areas that make up the state of Veracruz, Mexico. To do this, support organizations and institutions that respond to the disaster to maintain a quality of life for people affected by a hydrometeorological phenomenon. An integer nonlinear programming model is developed, the inventory level equation (q,R) is considered, and the analysis of institutional databases for its feeding, evaluated through its application in 90% of the regions belonging to the State of Veracruz, Mexico. The minimization of logistics costs involved in locating municipalities, which due to their characteristics, maybe the headquarters of pre-positioning warehouses, in this case, are Naranjos de Amatlán, Cerro Azul, Tihuatlán, San Rafael, Manilo Fabio Altamirano, Fortín de las Flores, Cosamaloapan and Las Choapas. Together with the variables of their inventory levels based on the different stages of human life: economic order quantity, reorder point, safety inventory and non-supply, which allow the supply of both food kits, equipment such as water and medicines (vaccines), to victims of a natural hydrometeorological phenomenon.
Yellow jacket (gilet jaune CHA): an analysis throughout Python dictionaries and media theory
Authors: Bernábe-Loranca Maria Beatriz , Reyes-Monreal Marleni , Carrillo-Canán Alberto José Luís , Duque-Cardona Juan Carlos , Martínez-Guzmán Gerardo
Published: December 2024

This paper presents an analysis of the French social movement of the gilet jaune (yellow vests, YV) in three parts. The first part focuses on observing and identifying the importance of web content, influencers and users. From the observation of discontent (colère, anger at French), representative words of the movement were identified and stored in an arrangement (array_1). The second part takes the information generated in the first part to perform an analysis of the contents of the social network Twitter through natural language processing (NLP) to identify new adjectives or highlight concepts already observed in array_1 for the creation of a dictionary. The third and last part builds the array_2, which contains words resulting from an enumerative search of adjectives on the news website FranceInfo. In this work, a graphic mapping was generated on the number of times and correlations in which a word is linked with other words that describe a YV movement. For this purpose, the content proposed in array_1 and the content of array_2 were considered in their entirety. Both the NLP dictionaries and the two arrays match in a high percentage with the initial words, which implies that these three independent procedures allow us to compare the results and interpret the public's anger at the YV movement and its possible implications.
Acetyl-modulated architecture for evolutionary robotics
Authors: Aldana-Franco Fernando , Montes-González Fernando , Ochoa Zezzatti Alberto
Published: December 2024

Control modularity is an important tool for improving the organisation and potential task resolution in Evolutionary Robotics. Neuro-controllers are divided into many sections or many coordinated networks to solve a particular task. In this paper, we present a model for control evolutionary robots inspired by the effects of acetylcholine neurotransmitter, chemical synapse, renshaw cells, and based on artificial neural networks. The performance of our model is compared to the other two implementations: a) a system controlled by one single neural network and b) a control system based on one neural network divided into different sections. A garbage collection and room swap tasks were used for the experimentation in order to validate the proposed model. As for the simulator, we decided to use a commercial platform as Webots, which includes a virtual e-puck robot in a 3D environment.
Terms of Trade, Debt and Economic Growth
Authors: Fabian Medinilla Leodegario , Porras Chaparro Ivan
Published: December 2024

The goal of this paper is to analyze the effects of the increase in international prices on the reallocation of resources and the economic growth of a small and open economy. To do this, two adjustment mechanisms are introduced in a two-sector economic growth model, one for labor and the other for the debt-capital ratio.
We show that the direction of migration between wages is completely determined by the proportion of total labor employed in the sector of natural resources; and that the external loan decisions, at any instant of time, is a percentage of the net debt stock, the speed of which is the proportional discrepancy of the adjustment of external capital and the expected marginal product and the world interest rate, thereby we find a growth path (within the stable manifold) that allows the optimal growth path.
Business Intelligence and Analytics Assisted by Free Software Tools
Authors: Cruz Pantano Juan , Romagnano María
Published: December 2024

At present, companies face new economic models and to be dedicated a lot of time and resources to get, process, apply, and project information. If they do not collect the appropriate data, the information generated will not be accurate, the results will likely be wrong, and any decision made will not be the most appropriate. Business Intelligence (BI) and Business Analytics (BA), used properly, can present competitive advantages, allowing organizations to know their current status and forecast future market behaviour, carrying out proactive actions based on predictive and prescriptive analysis. In this work, it is proposed to assist small and medium businesses (PyMEs) by integrating BI and BA into their information systems. The case of a local transport PyME is presented where the benefits of applying free software tools, such as PowerBI Desktop, Orange, KNime, and Knowage, were analysed and evidenced.
Capacitated Multi-Facility Location Problem on the Ellipsoid with Multi-Zone Restrictions
Authors: Cazabal-Valencia Lucía , Caballero Morales Santiago Omar , Martínez Flores José Luís , Gibaja-Romero Damián-Emilio
Published: December 2024

One of the main problems faced by organizations is the strategic location of its facilities. This is because resource acquisition and operational performance of the supply chain depends on this aspect. Complexity is increased if the most suitable location is not available due to zone restrictions. While facility location models have been developed to solve this problem, only a single zone restriction has been studied. The present work contributes on this context by (a) proposing a solving method for the multi-facility location problem with multi-zone restrictions, (b) considering the ellipsoidal surface of the Earth to provide more accurate estimates of distances, and (c) developing a large instance with real geographic location data for validation of the method and benchmark studies. The results reported in this work corroborate the suitability of the method and that, even with multi-zone restrictions, minimum distance/costs can be achieved when compared to the non-restricted problem.
Wizard for creating semantic views in a natural language interface to databases
Authors: Pazos Rodolfo A. , Martínez José A. , Fraire Héctor J. , Puga Héctor J. , Gaspar Juana
Published: December 2024

When using natural language interfaces to databases (NLIDBs) for database queries that involve many tables, the resulting SQL query may include semantically implicit entities. These entities are related to the semantic meaning of a query, when upon referring to an entity (table), another entity (or entities) is (are) semantically implied with which the first entity is related, and the user might ignore the relationship between the two (or more) entities. In a previous work, this problem was addressed by using a semantic view. However, the configuration of the NLIDB is very complex for the database administrator for dealing with this kind of queries. This means that the semantic view can only be created and configured by the NLIDB developers. This article describes a method to configure a dictionary of semantic information to create a virtual semantic view in a NLIDB, thus facilitating the creation of semantic views in a NLIDB.
Machine Learning-based Formulas for Computing the Euler Characteristic of Binary Images
Authors: Arce Vega Fernando , Gómez-Flores Wilfrido , Sossa Humberto , Escalona Uriel
Published: December 2024

The computer vision community has proposed numerous formulations for object description based on human perceptivity and vast knowledge of the problem domain. In order to reduce human intervention, deep learning techniques are widely used to learn features automatically. However, they lack the property of explainability; that is, a human being understands the meaning of all the parts that make up the calculation of a feature. In this paper, we empirically show how Artificial Intelligence can automatically discover explainable formulations of a topological feature for binary images called the Euler characteristic. The training images are represented by bit-quad patterns, and a single-layer artificial neural network automatically learns the optimal combination of bit-quads to provide valid formulations to correctly calculate the Euler characteristic. We report the results on binary images of different complexities and sizes and compare them with state-of-the-art machine learning algorithms. Finally, we present 14 new equations to calculate the Euler number never reported in literature.
Introduction to Job Shop Scheduling to Model the Timetabling Scheduling Problem
Authors: Fuentes-Penna Alejandro , Gómez-Espinosa Lilibeth C. , Pérez Pasten Borja Alejandro
Published: December 2024

The Timetabling Scheduling Problem (TTSP) is proposed as a schedule of a sequence of events between actors (teachers, students, workers, etc.) in a predefined period (typically hours), satisfying a set of constraints. TTSP has been traditionally considered in the operational research field and recently has been tackled with different Artificial Intelligence techniques. The proposed solutions to TTSP are in the range of traditional techniques (linear programming, whole programming, manual solution, network flow, etc.) and metaheuristic methods (simulations of human way, graph colouring, tabu search, genetic algorithms, simulated annealing, etc.). Job Shop Scheduling Problem (JSSP) is one of the best known combinatorial optimization NP-hard problems. There are many solutions to JSSP from a broad spectrum of researchers: management scientist, computational researcher, production experts, etc., from different individual areas and multidisciplinary areas. This article aims to model the TTSP in terms of JSSP in order to expand the possible solutions to this problem. We considered TTSP as JSSP because there are similarities at the mathematical model and the objective function. TTSP is modelled as JSSP where jobs represent the relation professor – signature – group and machines constitute the academic spaces.
Kinematic, Dynamic and Control of a 3-DOF Parallel Robot (3-PSS)
Authors: Hernandez-Cortes Tonatiuh , Pacheco-Escamilla Luis , Meda-Campaña Jesus A , Tapia-Herrera Ricardo
Published: December 2024

In this paper, the design and simulation of a Fuzzy Control for a 3 Degrees Of Freedom (3-DOF) Delta Parallel Robot with Prismatic actuators are presented. The position of the moving platform and prismatic joints are solved the direct and inverse kinematic analysis.  The forces of the actuated prismatic joints are computed with the dynamic analysis using the Lagrangian approach and compared with the obtained forces in simulation; trajectory planning is "point-to-point", with polynomial functions. The proposed controller is a Fuzzy Control System and the effectiveness has performance comparing the desired trajectory against the obtained via simulation.
Model for obtaining data aimed at the academic failure of IT students in the face of a pandemic
Authors: Barrera-Cámara Ricardo A. , Sánchez-Martínez Fernando E. , Canepa-Sáenz Ana , Fuentes-Penna Alejandro , Ruiz-Jaimes Miguel
Published: December 2024

Academic failure is a situation that influences the terminal efficiency of students at a higher level. This is a consequence of various factors that affect the student. The objective is to identify factors that influence school failure in the face of the pandemic. A data collection model was applied for the analysis of factors that influence school failure based on the student's perception during the second year of the pandemic. The model considers technological, academic, and personal factors; The figure of the manager and the academic tutor are incorporated as elements that can influence school failure. The instrument was applied online, data analysis and reliability were performed with free software tools. The age range of the participants is 18 to 25 years old. 53.1% of the participants consider that the absence of the tutor in the face of failure problems influences failure. The factors that influence failure are the academic tutor, academic manager, internet access, the delivery of projects, the teacher's way of explaining, and health. The tutor and the academic manager have an important role as a guide in a situation of failure or academic performance.
Bio-Inspired Algorithm for Coordinated Control in Mobile Devices
Authors: Díaz-Parra Ocotlán , Benítez-Morales José G. , Ramos-Fernández Julio C. , Hernández-Huerta Eduardo , Trejo-Macotela Francisco R. , Xicoténcatl Pérez Juan M. , Ruiz-Jaimes Miguel A.
Published: December 2024

The technological progress that has been achieved today, has a tendency in the application of automated mechanisms to improve the life of the human being. In the area of communications there are great advances in different applications such as, for example, being able to monitor from a mobile device event that are happening remotely at a remote point, or, for example, to monitor the mechanized control of taking medication to patients in a hospital. The objective of this research work is to be able to establish communication with mobile devices to execute instructions issued by an intelligent logic system. This system is built by means of a bio-inspired algorithm ACO (Ant Colony Optimization) that has the purpose of generating logical information and three differential type LBOOT mobile devices.
Rehap: A lower limb rehabilitation system for adults
Authors: Benítez-Morales José G. , Licona Ángel Ricardo , Alamilla Ma. Angeles , Alamilla Ma. Angeles , Hernández Javier , Hernández Javier
Published: December 2024

During passive rehabilitation, the medical therapist performs specific routines on the patient's limbs who have suffered physiological damage and has partial lost or total mobility and muscle strength. Currently, there are commercial devices of manual nature that assist the doctor during the application of routines. However, the majority are closed kinematic chain which limits the number of angles that can be reached. In this article, it is detailed the design and development of an electro-mechanical system for an autonomous passive lower extremity rehabilitator. The mechanical system is developed considering the knee's biomechanics, the change in length of the limb during flexion and extension, and the anthropometry of the patients to be treated. The system is actuated by electromechanical elements to avoid costly pneumatic systems or hydraulic networks. The scheming and development of the transmission system for the electromotive actuator selection are also detailed in its corresponding section.
Leukemia recognition with evolutionary vision and knowledge transfer
Authors: Ochoa-Montiel Rocio , Chan-Ley Mariana , Sossa Azuela Juan Humberto , Olague Gustavo , Morales-López F.E.
Published: December 2024

Leukemia is a health problem that affects the world population causing thousands of kills. Visual analysis is a diagnostic method required for leukemia detection. Evolutionary vision models are useful to understand the solutions found because they make it possible to identify how the image recognition process develops. In this work, we analyze the performance of an evolutionary vision model named brain programming, in which we use a multi-class classifier embedded into the model, to lead the evolutionary process. Furthermore, we use a type of knowledge transfer to improve the recognition task. Results suggest that the knowledge transfer allow an adequate model performance to solve the problem of leukemia recognition. In addition, the structure of the model provides some degree of explainability to the approach, and the structure of the solutions found is amenable to interpretation, which is a desirable aspect of the leukemia recognition problem.