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Slide 1 of 5 Publicación Acceso Abierto
Microeconometric analysis of book reading in unequal urban contexts. The case of Cartagena de Indias (Colombia).
(Cuadernos de Economía, 44, 2025-09-02) Espinosa Espinosa, Aarón Eduardo; Palma Martos, Luis; Barrios Bueno, Paula; Grupo de Investigación Instituto de Estudios en Desarrollo Economía y Sostenibilidad – IDEEAS
Entre las principales ciudades colombianas, Cartagena de Indias presenta el hábito de lectura de libros más bajo. Este artículo analiza, de manera empírica, los factores asociados a la lectura de libros como forma de participación cultural en esta ciudad caribeña colombiana entre 2011 y 2019. Se evalúa el papel de variables tradicionales y locales en la decisión individual de leer, y se utilizan microdatos del programa Cartagena Cómo Vamos para estimar un pseudopanel que modela la persistencia del hábito de lectura. La lectura de libros se comporta de manera atípica en relación con la edad y los ingresos; además de los efectos de variables locales como la estratificación, la pobreza y el capital social, es el tiempo disponible, sujeto al rol de los individuos, la variable que más restringe las posibilidades de disfrutar de la lectura.
Slide 2 of 5 Publicación Acceso Abierto
Toward a digital ecosystem for additive manufacturing driven by standards-based digital thread and digital twins
(IEEE Access, 2025-12-12) Rodríguez Gasca, Efraín Andrés; Alvares Alberto José; Grupo de Investigación Automatización Industrial y Control (GAICO)
The ongoing digitalization of manufacturing is transforming how products are designed, produced, and optimized, driven by the convergence of the Digital Thread (DTh) and Digital Twin (DTw) paradigms. However, achieving seamless integration across these technologies remains a major challenge due to persistent issues of data interoperability, consistency, collaboration, and intelligent data exchange throughout the product lifecycle. Moreover, the limited intelligence at the machine level and the fragmentation of data across heterogeneous systems hinder the realization of fully connected, autonomous manufacturing environments. To address these challenges, this work conducts a comprehensive review of the literature on DTh and DTw technologies, focusing on their application in additive manufacturing (AM) and their alignment with international standards for data exchange and system interoperability. Building on this foundation, a unified digital ecosystem for contextualized intelligence is proposed, aiming to integrate DTh and DTw through standardized, semantically rich, and interoperable data flows. Furthermore, a standards-based DTh–DTw framework is presented, leveraging key industrial standards, including STEP/STEP-NC, MTConnect, QIF, OPC UA, MQTT, and ISO 23247, to ensure traceability, real-time synchronization, and data-driven decision-making across the AM lifecycle. Two implementation scenarios validate the proposed approach: (i) an FDM-based AM process using STEP-NC and MTConnect for integrated process planning and monitoring, and (ii) a robotic wire-based LMD cell featuring three DTw implementations compliant with ISO 23247 for real-time simulation, predictive maintenance, and process visualization. These implementations demonstrate the feasibility of constructing interoperable, data-centric manufacturing workflows using open standards. The results underscore the potential of the proposed ecosystem to enhance interoperability, data consistency, and intelligence across manufacturing processes, while also revealing current limitations in AM-specific standardization and cross-platform integration. Although focused on AM, the framework is inherently extensible to other manufacturing domains, paving the way toward standards-driven, intelligent, and generative manufacturing ecosystems.
Slide 3 of 5
Slide 4 of 5 Publicación Acceso Abierto
PARSEC: an adaptive and efficient platform for reducing cold start in serverless computing
(IEEE Transactions on Services Computing, 2021-08-08) Buitrago, Nicolás; Camacho, Hector; Jimeno, Miguel; Viloria Núñez, Cesar Augusto; Cardona, Jairo; Salazar, Augusto; Grupo de Investigación Tecnologías Aplicadas y Sistemas de Información (GRITAS)
Serverless computing has revolutionized application development but faces a significant challenge: cold starts, which introduce delays when a function is called after a period of inactivity. Addressing these delays is crucial because they affect efficiency, performance, cost, and scalability. Existing mitigation strategies come with trade-offs, such as increased resource overhead and the need for precise resource management predictions. Also, optimizing the function startup process requires detailed knowledge of the runtime characteristics and the isolation technique used, such as using a container-based or a micro virtual machine setup. This work presents PARSEC, a comprehensive solution for cold start issues in serverless computing. By focusing on reducing initialization latency in idle containers, this research seeks to preserve scalability and ease of deployment features of serverless computing while overcoming cold start limitations. The proposed architecture improved cold start by streamlining the initialization of containers to reduce overhead. This involves minimizing unnecessary operations and customizing launches for serverless needs, aiming for a faster and more efficient setup. It also enhances the provisioning of Zygotes to speed up sandbox launches. The results show better performance for PARSEC when compared with other architectures, particularly at shorter wait times, suggesting effective cold start management. The strategic management of Zygotes and their provisioning scaling plays a critical role in managing large numbers of packages and instances, thereby enhancing the performance of package management. The cache system also evolves to become more selective, reducing overhead by focusing on essential packages
Slide 5 of 5 Publicación Acceso Abierto
Biomechanical and kinematic kait knalysis in lower limb amputees: cross-Sectional study
(JMIR Rehabilitation And Assistive Technologies, 2025-07-29) Olaya Mira, Natali; Gómez Hernández, Luz Marina; Viloria Barragan, Carolina; Monsalve Montes, Manuela; Soto Cardona, Isabel Cristina; Grupo de Investigación Física Aplicada y Procesamiento de Imágenes y Señales- FAPIS
Background: The quantification of gait parameters in amputees facilitates the assessment of their performance with prosthetic devices. These parameters often depend on measurements based on anatomical aspects that vary across different types of lower limb amputations.
Objective: This study aimed to investigate body weight distribution, and gait symmetry, quality, and propulsion, as well as pelvic kinematics in the amputee population.
Methods: The EcoWalk baropodometry platform was used to measure plantar pressure, and the G-Walk inertial sensor was used for accelerometry measurements in 29 unilateral lower limb amputees.
Results: Values were estimated for each variable under analysis, and the findings were categorized by the level of amputation. All variables exhibited normal distribution within each group under analysis , except for the symmetry index in above-knee (AK) amputees (P=.03). Regarding the body weight distribution (P=.11), velocity (P≥.99), propulsion (P=.38), and quality index (P=.10) of the amputated limb; no significant differences were observed between the AK and below-knee (BK)
amputees. The most significant deviation was noted in pelvic obliquity, which was greater in AK amputees compared to BK amputees.
Conclusions: The values reported for the variables under analysis may enable the establishment of more precise reference levels for the amputee population, thereby contributing to a more accurate diagnostic process and aiding prosthetic fitting.
