bluuebunny/crossref_metadata_2025_split huggingface dataset:
Historia de la educación comparada en América Latina: aproximación a un estado de la cuestión
Authors: Jiménez Becerra Absalón 
Published: December 2024

Objetivo: orientar conceptual y metodológicamente la historia de la educación comparada en América latina a manera de un estado de la cuestión.
Originalidad/Aporte: en América latina no hay una gran tradición historiográfica de historia de la educación comparada.El método comparado en historia de la educación se basa en el establecimiento de preguntas -una causalidad compartida-como también en unidades de comparación comunes; busca semejanzas y diferencias para encontrar las tendencias, yuxtaponer análisis y llegar a conclusiones que trasciendan las fronteras locales y que nos permitan pensarnos a nivel regional.
Método: es una investigación cualitativa ubicada en el método hermenéutico, pues mediante una revisión historiográfica se realiza un estado de la cuestión sobre los avances de la historia de la educación comparada, particularmente, entre Colombia y Argentina desde finales del siglo XX a la actualidad.
Estrategia/Recolección de información: se rastreó y organizó la información que permitiera pensar la historia de la educación comparada en América latina tanto temática como conceptualmente destacando los principales exponentes de Colombia y Argentina.
Conclusiones: la historia de la educación en nuestra región tiene un antecedente importante en la primera mitad del siglo XX, que deviene de la relación entre marxismo y educación, como lo fue en el caso argentino. A pesar de una serie de avances puntuales, más que un campo de disputa fue un terreno baldío para historiadores y pedagogos, quienes, desde finales del siglo XX e inicios del XXI, poco a poco vinieron delimitando los objetos de estudio haciendo un balance del pasado a fin de encontrar puntos de encuentro para instalar a América Latina como un referente de enunciación histórico. Producto de la experiencia ganada en la actualidad con base en las coincidencias culturales se debe avanzar en la historia de la educación comparada buscando que los investigadores de la región sin temor académico establezcan unidades de comparación novedosas que permitan generar una teoría de la historia de la educación latinoamericana situada, acompañada de sus propios conceptos, periodizaciones y particularidades metodológicas, como también de sus variadas formas de abordaje.
El uso de la inteligencia artificial en la investigación científica
Authors: Díaz Subieta Luz Bety 
Published: December 2024

Objetivo: mostrar los usos actuales y las posibilidades de la inteligencia artificial en la investigación científica de manera que se conozcan las prácticas emergentes.
Originalidad/aporte: el aporte de este estudio de revisión consiste en presentar un escenario mundial, lo más completo posible, de las tendencias actuales respecto a la utilización de la IA para hacer investigación.
Metodología: se lleva a cabo una investigación documental a partir de la revisión sistemática cualitativa, que da cuenta de los principales usos actuales de la inteligencia artificial en investigación científica.
Estrategias de recolección de información: el punto de referencia para esta revisión documental se llevó a cabo desde lo cronológico, a través de: 1. Arqueo de fuentes: seleccionando referentes que desarrollan el tema; 2. Revisión: en la cual se depuran los referentes teóricos más relevantes; 3. Cotejo: comparación y organización de las fuentes seleccionadas mediante fichas y matriz de autores; 4. Interpretación: mediante análisis de los principales referentes teóricos; 5. Conclusiones: se muestran los aspectos más relevantes de la temática.
Conclusión: los investigadores deben aprender no solo a utilizar la inteligencia artificial, sino también a hacerlo de manera responsable y ética considerando los impactos sociales que puedan generar los resultados de sus investigaciones a través de IA.
Por uma história comparada da educação de jovens e adultos: uma defesa à luz da proposta de Saviani
Authors: Figueiredo Costa Vinícius , Bonifácio de Araújo Regina Magna 
Published: December 2024

Objetivo: Este texto tem como objetivo promover a discussão sobre uma abordagem mais abrangente e crítica da história da educação, a História Comparada como metodologia chave para o estudo aprofundado das estruturas e sistemas que moldam o campo educacional mesmo no contexto pós-moderno.
Originalidade/Contribuição: É enriquecer e diversificar o discurso acadêmico, proporcionando uma compreensão mais completa e multifacetada da história da educação e suas implicações para o presente e o futuro, para além de certo status quo predominante nas metodologias históricas utilizadas nos principais centros acadêmicos do país nas últimas décadas.

Método/ Estratégia/Coleta de Dados: Enquanto as histórias pessoais são importantes por capturar a diversidade de experiências e perspectivas, é igualmente crucial situá-las dentro de um contexto histórico mais amplo para entender plenamente seu significado e impacto. Este é o tema que se defenderá aqui, especialmente, em contexto comparado.

Conclusões: Acreditamos que esse enfoque é particularmente relevante na modalidade da Educação de Jovens e Adultos (EJA), onde se entende que tais metodologias são essenciais porque as propostas de estudo nessa área, motivadas por ideais políticos, devem visar soluções estruturais para os desafios enfrentados, indo além da análise individual de casos isolados. Refletir sobre a EJA na América Latina e no Brasil transcende a mera investigação acadêmica, envolvendo a formulação de soluções e a implementação de políticas eficazes na área. Nesse contexto, as metodologias de pesquisa desempenham um papel crucial, pois não apenas contribuem para o conhecimento acadêmico, mas também servem como ferramentas para analisar estruturalmente a realidade.
Enseñanza de la Lectoescritura en la Escuela Primaria en tiempos de pandemia. Estudios de casos
Authors: López Rivas Oscar Hugo 
Published: December 2024

Objetivo: identificar formas y estrategias emergentes implementadas por docentes que desarrollaron la enseñanza de la lectoescritura con niños de entre 4 y 9 años en tiempo de pandemia, así́ como los desafíos enfrentados para dar continuidad al proceso educativo.
Originalidad/aporte: Establecer desafíos y la forma innovadora y pertinente como fueron asumidos los retos por docentes que enseñaron a leer y a escribir durante el Covid-19 desde diferentes contextos, ofrece información como aporte para momentos futuros relacionadas con situaciones de emergencia.
Método: el diseño metodológico fue descriptivo, pues describe experiencias y hechos vividos por docentes del contexto urbano y rural de Guatemala[1], así como exploratorio al ser un tema poco estudiado o abordado, permitiendo conocer de una manera más familiar[2] la situación afrontada durante Covid-19; por lo que se empleó el estudio de casos como método.
Estrategias/recolección de la información: La entrevista y la observación fueron las técnicas de investigación empleadas y que facilitaron la información para el desarrollo del estudio.
Conclusiones: La enseñanza de la lectoescritura durante la pandemia Covid-19 evidenció cambios en la forma de acompañar el proceso, provocando que docentes, estudiantes y sus familias enfrentaran desafíos relacionados con las estrategias y el tiempo que los niños necesitaron para el logro de competencias; sin duda, el trabajo en equipo entre docentes y padres fue clave y marcó diferencias en el aprendizaje de los infantes.

[1] Cortés Cortés, Manuel y Miriam Iglesias (2004). Generalidades sobre la Metodología de la Investigación. Universidad Autónoma del Carmen. México. Primera Edición. ISBN 968-6624-87-2. p. 20
[2] Ibíd, 1, 20
Trayectorias y transformaciones: educación e investigación en feminismos, géneros, intersecciones, derechos humanos y paz
Authors: Trimiño Velásquez Celina de Jesús 
Published: December 2024

Objetivo: investigar trayectorias del GIEPEG en dos etapas, de 1996 a 2008 y de 2009 a 2023, y reconocer desde la academia, en sus investigaciones y actividades, los planteamientos emergentes, los encuentros con nuevas teorías, miradas y prácticas, y la interlocución con la comunidad, a fin de coadyuvar a las transformaciones.
Originalidad/Aporte: muestra la experiencia investigativa, docente y de extensión, develando la educación patriarcal y las discriminaciones, que invisibilizan historias y conocimientos de varios sectores de la sociedad. Se abrieron espacios académicos de debate, para repensar las teorías críticas, alternativas investigativas, aportando al retorno social.
Método: perspectiva cualitativa, orientada desde el punto de vista feminista, de los derechos humanos, el conocimiento y la experiencia situada, con apoyo en el enfoque cuantitativo.
Estrategias/Recolección de información: se examinó el itinerario a través de la revisión y el análisis de archivos, documentos, investigaciones y relatos, y la exploración de memorias y vivencias.
Conclusión: se presentan logros de algunas investigaciones, que crean e impulsan líneas sobre diferentes temáticas, en un diálogo de saberes que involucra a la UPTC y a su entorno, y que ha trascendido a nivel nacional con proyección internacional. Esto ha transgredido parte de los currículos a fin de generar propuestas educativas e investigativas que reivindican los feminismos, los géneros, las intersecciones, los derechos humanos, la memoria y la paz, potenciando sus actividades
Activity Cliff-Informed Contrastive Learning for Molecular Property Prediction
Authors: Shen Wanxiang , Cui Chao , Su Xiaorui , Zhang Zaixi , Arce Alejandro Velez , Wang Jianming , Shi Xiangcheng , Zhang Yanbing , Wu Jie , Chen Yu Zong , Zitnik Marinka 
Published: December 2024

Abstract

Modeling molecular activity and quantitative structure-activity relationships of chemical compounds is critical in drug design. Graph neural networks, which utilize molecular structures as frames, have shown success in assessing the biological activity of chemical compounds, guiding the selection and optimization of candidates for further development. However, current models often overlook activity cliffs (ACs)—cases where structurally similar molecules exhibit different bioactivities—due to latent spaces primarily optimized for structural features. Here, we introduce AC-awareness (ACA), an inductive bias designed to enhance molecular representation learning for activity modeling. The ACA jointly optimizes metric learning in the latent space and task performance in the target space, making models more sensitive to ACs. We develop ACANET, an AC-informed contrastive learning approach that can be integrated with any graph neural network. Experiments on 39 benchmark datasets demonstrate that AC-informed representations of chemical compounds consistently outperform standard models in bioactivity prediction across both regression and classification tasks. AC-informedmodels show strong performance in predicting pharmacokinetic and safety-relevant molecular properties. ACA paves the way toward activity-informed molecular representations, providing a valuable tool for the early stages of lead compound identification, refinement, and virtual screening.
Antibiotic amoxicillin degradation by electrochemical oxidation process: Effects of process parameters and degradation pathway at environmentally relevant concentrations
Authors: Kanwar Bhavana , Koli Mitil , Singh Swatantra P. 
Published: December 2024

Abstract

Amoxicillin (AMX) is a common antibiotic used in both human and veterinary medicine in order to both cure and avoid bacterial infections. Traces of AMX have been found in ground and surface water, urban effluents, water, and wastewater treatment facilities due to its widespread use. The level of hazard and disposal of this class of micropollutants is the reason for concern. Advanced technology is required since conventional wastewater treatment plants are ineffective at eliminating these emerging contaminants. Electrochemical oxidation is a promising method of treating wastewater, which uses electrogenerated radicals to mineralize organic pollutants. This work investigated the detailed process mechanism for AMX degradation utilizing a low-cost, thin, flexible graphite sheet with lower AMX concentrations, initial pH value, voltage, electrolyte concentration, and wastewater matrix. The degradation of AMX by in-situ generated hydroxyl radicals is a function of applied voltage and follows pseudo-first-order reaction kinetics. The removal efficiencies of AMX have been achieved up to 99% within 3 hours of reaction time. Moreover, intermediate by-products have been identified using liquid chromatography-mass spectrometry, and a plausible pathway has been proposed. This study could serve as a process reference for controlling AMX wastewater contamination via the electrochemical oxidation technique.
Health burdens related to emission sources and cross-provincial air pollution in China
Authors: Hu Weiyang , Zheng Bo , Henze Daven K. , Lu Ni , Wang Xiaolin , Zhang Lin , Fu Tzung-May , Zhao Yu 
Published: December 2024

Abstract

Effective abatement of air-pollution-induced health damages requires comprehensive understanding on the changing roles of individual sources and cross-regional transport. Here, we estimate premature mortality attributable to specific source categories, precursor species, and regions within mainland China. We find that the marginal national premature deaths, dominated by PM2.5 exposure, have declined from 151,842 per 10% growth of emissions in 2013 to 111,271 in 2020, and would further to 54,293 in 2035 following a carbon peaking and carbon neutrality pathway. The impacts of certain species-category combinations have grown including NOX from industrial combustion and off-road traffic. The proportions of cross-provincial to marginal health burden have remained stable around 50%. Provinces with net exporting of premature deaths were intensively located in the north of China while those with net importing were in the south. Our findings highlight the need for a location-precursor/sector-specific strategy of emission controls in China’s public health regulatory framework.
Shallow groundwater near a deep-well CO2 storage site – 15 years of stable water quality for agricultural use
Authors: Zhou Zibo , Zhang Kexin , Callahan Damien L. , Timms Wendy 
Published: December 2024

Abstract

Injecting CO2 into deep geological formations can be an effective carbon-removal and storage technology to mitigate global climate change. Interaction of injected CO2 with rock formations changes pH and hydrochemistry within the deep injection zone (> 800 m depth). However, cap rocks and multiple tight aquitards typically act as barriers to protect the shallow aquifer from changes in the injection zone. Monitoring and evaluation of shallow groundwater quality is essential to verify that carbon capture storage projects (CCS) do not impact the near-surface environment. This study investigated shallow groundwater quality using long-term data (2006–2023) from a regular monitoring program at the Otway International Test Centre (OITC) in Victoria, Australia. It was found that shallow groundwater quality was stable over at least 15 years, during which time three phases of CO2 injection into a deep storage zone occurred. The results highlighted groundwater quality complied with guidelines of Food and Agriculture Organization (FAO) and Australian water quality guidelines. Minor and localized changes observed in salinity or pH in shallow monitoring piezometers were caused by natural processes. Moreover, a wide range of groundwater quality indicators were evaluated. The results demonstrated that the groundwater quality of shallow aquifers (< 80 m) at OITC is suitable for agriculture. The study provides assurance and confidence to stakeholders that the quality of the near-surface environment has not been impacted by CO2 injection into confined formations and no pollution has been detected. Although numerous CCS sites around the world are subject to monitoring, no evidence of changes in shallow groundwater quality has been reported that could be traced to CO2 injection in confined formations at > 800 m depth.
Exploring the Hurdles of Implementing National School Health Policy in Namibian Schools: Insights from Stakeholders
Authors: Katangolo-Nakashwa Ndasilohenda , Mfidi Faniswa Honest 
Published: December 2024

Abstract

This qualitative study delves into stakeholder perspectives on the challenges of implementing Namibia's National School Health Policy (NSHP) in schools. The primary goal of the NSHP is to nurture a healthy future generation by enhancing the social, mental, and physical well-being of teachers, staff, and students. The study assesses the policy's impact on health, school attendance, academic performance, and the overall well-being of the school community. Through semi-structured interviews with 20 stakeholders from three regions - Khomas, Oshana, and Kavango in Namibia, including educators, nurses, principals, and health program administrators, the study uncovers key implementation barriers, such as staffing shortages, inadequate resources, and limited student awareness of their health rights.
A GIS-Based Comparative Study of the Analytic Hierarchy Process, Frequency Ratio, and Logistic Regression Methods for Landslide Susceptibility Mapping along the Gilgit-Skardu Road
Authors: ALI MUHAMMAD , ASGHAR HUSSAIN , HUSSAIN SAJID , HUSSAIN ZAHID 
Published: December 2024

Abstract

The Gilgit-Skardu road, located in the northern region of Pakistan, traverses a seismically active area due to the ongoing collision between the Eurasian and Indian Plates. This mountainous terrain is particularly susceptible to landslides, necessitating the creation of a landslide susceptibility map for effective hazard management. This study aimed to develop a comprehensive landslide inventory and utilized three GIS-based models—Analytic Hierarchy Process (AHP), Frequency Ratio (FR), and Logistic Regression (LR)—to identify areas at risk of landslides. Twelve causative factors were analyzed, including slope degree, aspect, plane curvature, profile curvature, proximity to roads, distance to streams, fault lines, geology, land cover, rainfall, elevation, and Normalized Difference Vegetation Index (NDVI). The study focused on delineating landslide-prone zones along the Gilgit-Skardu road. The susceptibility assessment was conducted using the three aforementioned GIS-based models, integrating remote sensing and geographic information system (GIS) techniques. The final susceptibility maps were generated based on a landslide inventory comprising 99 active landslides in the region. The AHP, FR, and LR models were evaluated for their predictive accuracy and ability to correlate landslide occurrences with the causative factors. Model performance was assessed using the Area Under the Curve (AUC) of the Receiver Operating Characteristic (ROC) curve, yielding AUC values of 74.96%, 74.16%, and 83.11% for the AHP, FR, and LR models, respectively. The LR model demonstrated superior predictive capability. This optimized landslide susceptibility model offers valuable insights for disaster mitigation and supports authorities in managing development programs in this vulnerable region.
Investigating the Compressive Response of Hand-Laminated GFRP Pipes in the Radial direction through Experiment and FEM Modeling
Authors: Zaman Yasir , Amin Fayiz , Gerges Michael , Asif Muhammad , Khan Abdul Majid 
Published: December 2024

Abstract

The growing interest in composite materials is due to their exceptional strength, stiffness, and fatigue resistance. Glass Fiber Reinforced Polymer (GFRP) pipes are ideal for aerospace applications like drone arms, needing to withstand payload weight, forces, vibrations, environmental effects, impacts, altitude changes, air density variations, and extreme temperatures. This study investigates the compressive behavior under radial loading of GFRP pipes specifically fabricated with a six-ply laminate sequence [0/90/0/90/0/90]. An experimental evaluation was conducted using a universal testing machine according to standard ASTM D2412 to assess the compressive response, and the acquired data was subsequently validated through finite element method (FEM) modeling employing Abaqus software. Experimental findings confirmed a compressive strength of 0.49 MPa and a maximum load capacity of 0.49 kN for the six-ply GFRP laminate. FEM analysis validated these results. Furthermore, the influence of varying the number of plies on the GFRP pipe was studied, and the results show an increasing strength trend with additional plies. As the number of plies increases from 6 to 15, the ultimate compressive strength, represented by the peak stress value on each curve, also increases. This research establishes GFRP pipes as a promising candidate for applications requiring lightweight and robust materials.
Visual Impairment Prevention by Early Detection of Diabetic Retinopathy Based on Stacked Auto- Encoder
Authors: Almas Shagufta , Wahid Fazli , Ali Sikandar , Alkhyyat Ahmed , Ullah Kamran , Khan Jawad , Lee Youngmoon 
Published: December 2024

Abstract

Diabetic retinopathy (DR) presents a significant concern among diabetic patients, often leading to vision impairment or blindness if left untreated. Traditional diagnosis methods are prone to human error, necessitating accurate alternatives. While various computer-aided systems have been developed to assist in DR detection, there remains a need for accurate and efficient methods to classify its stages. In this study, we propose a novel approach utilizing enhanced stacked auto-encoders for the detection and classification of DR stages. The stages are classified into five categories: normal, mild, moderate, severe, and proliferative. Unlike traditional CNN approaches, our method offers improved reliability by reducing time complexity, minimizing errors, and enhancing noise reduction. Leveraging a comprehensive dataset from KAGGLE containing 35,126 retinal fundus images across five DR stages, our proposed model demonstrates superior accuracy compared to existing deep learning algorithms. Data augmentation techniques address class imbalance, while SAEs facilitate accurate classification through layer-wise unsupervised pre-training and supervised fine-tuning. We evaluate our model's performance using rigorous quantitative measures, including accuracy, recall, precision, and F1-score, highlighting its effectiveness in early disease diagnosis and prevention of blindness. Experimental results across different training/testing ratios (50:50, 60:40, 70:30, and 75:25) showcase the model's robustness. The highest accuracy achieved during training was 93%, while testing accuracy reached 88% on a training/testing ratio of 75:25. Comparative analysis underscores the model's superiority over existing methods, positioning it as a promising tool for early-stage DR detection and blindness prevention.
Magnetic sodium aluminate 60 wt.% as an efficient and recyclable catalyst for the Rap–Stoermer reaction
Authors: Akbari Ali 
Published: December 2024

Abstract

Synthesis of 2-aroylbenzofuran derivatives through Rap–Stoermer reaction with condensation of salicylaldehydes and substituted phenacyl bromides in the presence of magnetic sodium aluminate 60 wt.% (MNPs-60). The catalyst can be easily recovered from the reaction mixture by applying an external magnetic field. This catalyst is stable and can be reused multiple times without losing its catalytic properties. High yields of product in a short experimental time and easy workup are other advantages of the present method.