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Este artículo de tecnologías para la educación describe un estudio que desarrolla un modelo analítico basado en técnicas de procesamiento de lenguaje natural y an&aa…

Este artículo de tecnologías para la educación describe un estudio que desarrolla un modelo analítico basado en técnicas de procesamiento de lenguaje natural y análisis automático del discurso para identificar patrones comunicativos en mensajes estudiantiles publicados en foros virtuales de Moodle. Bajo un enfoque cuantitativo de alcance exploratorio-descriptivo, se analizaron 212 mensajes de 56 estudiantes de un programa de maestría, identificando la longitud, riqueza léxica y tono comunicativo de las intervenciones. Los resultados muestran un predominio de mensajes con tono cortés y neutro, reflejando un ambiente de respeto y formalidad en el foro. Además, se evidencia que los mensajes inseguros tienden a ser más extensos y con alta densidad de palabras clave; mientras que los tonos agresivos y agradecidos son marginales. Las visualizaciones generadas permitieron identificar diferencias en la calidad discursiva y patrones de participación, ofreciendo información valiosa para comprender las dinámicas de interacción en entornos virtuales. En conclusión, este análisis aporta evidencias que pueden ser utilizadas para diseñar estrategias pedagógicas que fomenten la participación significativa, el compromiso estudiantil y la precisión discursiva en contextos de aprendizaje digital, contribuyendo al desarrollo de modelos educativos más adaptativos y centrados en las necesidades del estudiante.

A pesquisa analisou a capacidade de sustentabilidade da Rede de Apoio à Pessoa Idosa de Minas Gerais (Rapi MG), uma rede colaborativa autoiniciada e de governança intermediada por organi…

A pesquisa analisou a capacidade de sustentabilidade da Rede de Apoio à Pessoa Idosa de Minas Gerais (Rapi MG), uma rede colaborativa autoiniciada e de governança intermediada por organização líder (a Coordenadoria de Políticas Públicas para Pessoa Idosa - Cepid/Sedese). O estudo concluiu que a Rapi MG possui capacidade de sustentabilidade, demonstrando condições para atuar no longo prazo e produzir resultados econômicos e socioambientais positivos.

MontePy is a Python API for reading, editing, and writing MCNP input files. The library provides a semantic interface for working with input files (“MCNP problems”). It does not run MCNP, …

MontePy is a Python API for reading, editing, and writing MCNP input files. The library provides a semantic interface for working with input files (“MCNP problems”). It does not run MCNP, nor does it parse MCNP output files. It understands that the second entry on a cell card is the material number, and will link the cell with its material object.  

Contains the simulation output assocaited with the manuscript "Rapid simulation of 2-D contrail cross sections through Contrail Layer Approximation using Multi-crystal Particles (CLAMP) v1.0", submitt…

Contains the simulation output assocaited with the manuscript "Rapid simulation of 2-D contrail cross sections through Contrail Layer Approximation using Multi-crystal Particles (CLAMP) v1.0", submitted for review on 2026-07-25.

In an era characterized by constant technological progress and inherent uncertainty, the importance of Management Information Systems (MIS) in building organizational resilience has become a critical …

In an era characterized by constant technological progress and inherent uncertainty, the importance of Management Information Systems (MIS) in building organizational resilience has become a critical theme. Although previous studies have investigated the connection between digital transformation, information systems, and resilience in the context of higher education, few empirical studies have examined the role that management information systems (MIS) play in the various phases of crisis management, specifically crisis preparedness, crisis response, and crisis recovery, in higher education institutions facing conflicts. This research aims to explore the role of Management Information Systems (MIS) in supporting crisis management at Palestine Technical University-Kadoorie, with specific emphasis given to their contribution to crisis preparedness, crisis response, and crisis recovery. The rationale behind the current study stems from the premise that Palestinian higher education organizations function in a setting characterized by continuous uncertainty and vulnerability and subject to institutional restrictions, where successful information exchange and coordination become essential factors for managing crises effectively. This research adopts a quantitative research approach with a cross-sectional research design. Data were collected through an online questionnaire created using Google Forms. This research found that the proposed model was supported by the data, with the results showing that MIS has a positive and statistically significant impact on crisis preparedness, crisis response, and crisis recovery. The findings also indicate that crisis preparedness has a positive and statistically significant impact on crisis response and that crisis response has a positive and statistically significant impact on crisis recovery. The uniqueness of the research is seen in the fact that the relationship between MIS effectiveness and three stages of crisis management results has been described, thus revealing its contribution at different stages. The findings further indicate that MIS is not only an important organizational tool but also strategic for building organizational resilience. Additionally, the study contributes new knowledge, as it shows how management information systems (MIS) may increase resilience through information visibility, rapid communication, coordination, and learning after crises in the case of Palestinian higher education institutions. This research adds value to the body of knowledge in MIS-driven crisis management through empirical analysis conducted at Palestine Technical University-Kadoorie. The paper ends with suggestions that can help enhance resilience within organizations in the higher education sector facing uncertainties.

Andrei Sakharov (1967) proposed that gravitation is not fundamental, but an emergent“metric elasticity” of the vacuum reacting to spacetime deformation. His theory, however,relied on an un…

Andrei Sakharov (1967) proposed that gravitation is not fundamental, but an emergent“metric elasticity” of the vacuum reacting to spacetime deformation. His theory, however,relied on an unexplained ultraviolet momentum cutoff (k0). We demonstrate that thiscutoff is the precise physical manifestation of the Representation Boundary Principle: thegeometric limit where continuous representations fail and must be replaced by an orthogonalprojection Π onto an admissible manifold M. We formalize this by defining a universalstructural strain functional S[Ψ] = ∥(I − Π)Ψ∥2. Utilizing a variational action principle,we prove the Representation Elasticity Principle, establishing that macroscopic physicalforces (like gravitation) are the geometric restoring dynamics driving the vacuum towardthe unique zero-strain topological state. The Deterministic Spectral Manifold (DSM-861)and the Riemann Hypothesis are subsequently presented as explicit arithmetic realizationsof this generalized elasticity theory.

v3.1.3 (2026-07-25) This release is published under the MIT License. Bug Fixes 1d vectors for dehoog (#33, bc09c05) Adjusted output paths and updated readme (#33, bc09c05) Convert DeHoog's 2d to 1d…

v3.1.3 (2026-07-25) This release is published under the MIT License. Bug Fixes 1d vectors for dehoog (#33, bc09c05) Adjusted output paths and updated readme (#33, bc09c05) Convert DeHoog's 2d to 1d array (#33, bc09c05) Indentation in code (#33, bc09c05) Made exampels optional (#33, bc09c05) Detailed Changes: v3.1.2...v3.1.3

Esta investigación busca sensibilizar a los docentes sobre la aplicación de proyectos integrales que fomentan autonomía, responsabilidad, trabajo en equipo y habilidades de colabo…

Esta investigación busca sensibilizar a los docentes sobre la aplicación de proyectos integrales que fomentan autonomía, responsabilidad, trabajo en equipo y habilidades de colaboración en los estudiantes. El objetivo es describir las competencias docentes necesarias para la implementación de proyectos integrales en el contexto universitario. Se utilizó un diseño de investigación descriptivo-exploratorio con enfoque multidimensional; la muestra incluye docentes de las Licenciaturas de Administración, Contaduría, Mercadotecnia y Negocios Internacionales de la Unidad Académica de Contaduría y Administración de la Universidad Autónoma de Nayarit en México. Los principales resultados revelan que las dimensiones mejor valoradas por los docentes son la profesional y la técnico-pedagógica, destacando como competencias críticas la capacidad de actuar como agentes de cambio, orientar procesos de evaluación y estimular la autonomía estudiantil. En contraste, las áreas personal y social, aunque significativas, se perciben como menos prioritarias en el discurso de excelencia, identificándose áreas de oportunidad en la formación académica especializada y la motivación intrínseca. Se concluye que la formación continua y la innovación en la práctica educativa son esenciales para el desarrollo profesional docente y el éxito de los proyectos educativos, siendo crucial invertir en competencias docentes para preparar a los estudiantes para un mundo conectado y multidisciplinario.

Our paper discusses a systematic literature review to examine the key determinants of youth entrepreneurship in Moroccan context. We based our research on a corpus of 45 scientific articles published …

Our paper discusses a systematic literature review to examine the key determinants of youth entrepreneurship in Moroccan context. We based our research on a corpus of 45 scientific articles published between 2016 and 2026, sourced from Google Scholar, Scopus, and Web of Science. We apply a dual analytical approach: thematic co-occurrence analysis and frequency analysis. These two methods combined help identify the main factors that shape entrepreneurial engagement among Moroccan youth. Three categories of determinants come out as dominant: institutional factors appear in more than 75% of studies, next, the individual psychological factors at 67%, followed by financial barriers at a high level (64%), in the end, socio-cultural factors (40%) and regulatory conditions (20%). The co-occurrence analysis adds another evidence to these results: the interactions of these multiple factors modify youth entrepreneurship in Morocco more than independent variables do. These results highlight the limits of studies that focus on only one factor and suggest the need for a broader approach to better understand youth entrepreneurship in Moroccan context. The study also gives useful recommendations for policymakers, universities and organizations that support entrepreneurship, it also helps them create programs that are more effective and meet local needs in a better way.

Thus, an increasing number of data and their increasing complexity require new approaches for clustering large data sets in many fields. This paper aims to present a Scalable Hybrid Clustering Framewo…

Thus, an increasing number of data and their increasing complexity require new approaches for clustering large data sets in many fields. This paper aims to present a Scalable Hybrid Clustering Framework referred to as SHC-PPSO in this paper based on Particle Swarm Optimization. It advances greatly. It is evident from the parallel processing and PSO that SHC-PPSO optimally converges and excels median attribute methods. This is faster than when data has to be analyzed sequentially, which reduces the likelihood of making mistakes. For reducing the curse of “Dimensality curse” actually, SHC-PPSO truncated the processing power. Some MOA hybrid clustering algorithm enhancements increase pattern recognition clearer and faster over the mean and the similarity distance methods. It was clearly observed that proposed SHC-PPSO algorithm provided better results than SCPSO-F1, SCPSO-F2 and PSOGSA with 65 & 95 % accuracy on HIGGS and CICIDS2017 dataset respectively. SHC PPSO of distortions also enhanced the performance and runtime. On the HIGGS dataset the overall running time was decreased from 15000 seconds for a single node to 500 for 32 nodes while the speedup almost followed the linear growth up to 30 for 32 nodes. These data demonstrate that the system operates effectively and can be generalized to other circumstances. Other areas that have benefited from SHC-PPSO are rivalry mapping, biology, market categorization, and expansive network glaring violations detection. To achieve efficiency for large, complex OBO datasets, parallelization is done on precision clustering. With the help of computer clustering the approach to data analysis and its interpretation could be changed radically.