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Social network analysis and narrative structures: measuring communication and influence in a Medieval source for the Kingdom of Sicily
(El Colegio de Jalisco, 2017-08-31)
Análisis de redes sociales y estructuras narrativas: Midiendo comunicación e influencia en una fuente Medieval para el Reino de SiciliaEl artículo presenta la reflexión metodológica y los resultados del enfoque que he aplicado para comprender los procesos sociales y políticos presentes en una fuente textual. El tema sobre el que se fundó el estudio fueron las interacciones entre los actores sociales tal como se desarrollan en una narrativa histórica. Un enfoque relacional puede contribuir a la comprensión de las narrativas y su utilidad histórica, y las dos preguntas principales rectoras de mi investigación fueron: 1) ¿Cómo extraer datos relacionales y construir redes que representan la información contenida en una fuente narrativa; Y 2) ¿qué nos dicen las redes así construidas sobre el significado y las implicaciones del espacio social presente en el mensaje? Con el fin de concentrarme en la información sociológicamente relevante que el texto ofrece, ’traduje' un informe retórico en un conjunto relacional de datos. El primer paso de este esfuerzo consistió en trasladar una estructura textual en una construcción sociológica, es decir, en un conjunto de datos socio-relacionales. Los conjuntos de datos narrativos proporcionaron una serie de sociomatrices narrativas listas para ser analizadas a través de herramientas analíticas de redes. De éstos, el uso e interpretación de las medidas de centralidad resultó ser uno de los enfoques más fructíferos para comprender las dimensiones sociales del texto. Medidas de centralidad y prestigio resultaron útiles al explorar las interacciones narrativas de comunicación e influencia social. Este estudio intenta demostrar que, a través de un enfoque relacional, se puede superar la brecha entre los puntos de vista cognitivo y estructural y, por lo tanto, avanzar hacia una mejor comprensión de las construcciones sociales 'entre líneas’ de una fuente histórica textual.
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Discovery, Invention, and Supposition. Three Case Studies from Medieval Sardinia
(BRILL, 2021-08-05)
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Alex Metcalfe
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Marco Muresu
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La Cerdeña Medieval vista desde la modernidad. Un epítome historiográfico de la supuesta conectividad mediterránea
(Universidad Autónoma de Chihuahua, 2019-04)
Con la intención de ofrecer una nueva lectura de las formas en las que se ha concebido a la Cerdeña medieval, el presente artículo presenta una sinopsis condensada y una crítica de las consideraciones más influyentes en la historiografía moderna del Mediterráneo. Este breve trabajo explica cómo estas consideraciones historiográficas han contribuido a la presunción de la unidad comercial y cultural del Mar Interior durante la Edad Media. Lo anterior se expone para relacionar la asumida conectividad del Mediterráneo medieval con la forma en la que se aborda la cuestión de la particularidad histórica de la isla sarda. Es sobre este epítome que se sugieren algunas claves para la interpretación histórica y se revisan las controversias aún vigentes de la Cerdeña medieval, especialmente centradas en torno a los reinos independientes sardos – i.e. los giudicati de los siglos XI al XIII. De esta manera, la discusión aquí desplegada pretende servir de antesala para una propuesta de investigación más robusta sobre los órdenes sociales sardos de la Edad Media central.
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County and Nobility in Norman Italy: Aristocratic Agency in the Kingdom of Sicily, 1130-1189
(Bloomsbury Publishing Plc, 2020)
Whilst historians often regard the Norman Kingdom of Sicily as centralised and administratively advanced, County and Nobility in Norman Italy counters this traditional interpretation; far from centralised and streamlined, this book reveals how the genesis and social structures of the kingdom were constantly fraught between the forces of royal power and local aristocracy authority. In doing so, Hervin Fernandez Aceves sheds important new light on medieval Italy. This book is the result of thorough research conducted on the vast source material for the history of this fascinating 12th-century world. Starting with the activities of Norman counts and the configuration of the counties, it explores how social control operated in these nodes of regional authority, and argues that the Sicilian monarchy relied on the counties (and the counts’ authority) to keep the realm united and exercise control. © Hervin Fernández-Aceves 2020.
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Rome Awards: Power and society in medieval Sardinia
(Open Book Publishers, 2019-10)
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The Indirect Effects of Participation in Sports on Entrepreneurship: Evidence from Russian Longitudinal Data
(SAGE Publications, 2025-11)
The article presents a theoretical model and its corresponding empirical test on the indirect effects of participation in sports on entrepreneurship among non-professional athletes. The empirical strategy consists of panel data econometric techniques, controlling for confounding factors and possible endogeneity concerns. Data are taken from the Russian Longitudinal Monitoring Survey (n = 197,699 observations from 33,889 individuals over the years 2000–2019). The results suggest that individuals who engage in sports and/or physical exercise are more likely to become entrepreneurs, including self-employed individuals, as well as to hire more workers compared to their sedentary counterparts. Overall, non-professional athletes may increase their likelihood of becoming entrepreneurs by 12% to 36% (odds ratios), and hire about 1% to 2% more employees. Therefore, entrepreneurship should be added to the long list of reasons for the promotion of sports and physical exercise. Other implications and specific findings by age, gender, and type of sport are discussed.
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Electrodermal Response Patterns and Emotional Engagement Under Continuous Algorithmic Video Stimulation: A Multimodal Biometric Analysis
(MDPI AG, 2026-01-18)
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David Contreras-Tiscareno
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Diego Sebastian Montoya-Rodriguez
Excessive use of short-form video platforms such as TikTok has raised growing concerns about digital addiction and its impact on young users’ emotional well-being. This study examines the relationship between continuous TikTok exposure and emotional engagement in young adults aged 20–23 through a multimodal experimental design. The purpose of this research is to determine whether emotional engagement increases, remains stable, or declines during prolonged exposure and to assess the degree of correspondence between facially inferred engagement and physiological arousal. To achieve this, multimodal biometric data were collected using the iMotions platform, integrating galvanic skin response (GSR) sensors and facial expression analysis via Affectiva’s AFFDEX SDK 5.1. Engagement levels were binarized using a logistic transformation, and a binomial test was conducted. GSR analysis, merged with a 50 ms tolerance, revealed no significant differences in skin conductance between engaged and non-engaged states. Findings indicate that although TikTok elicits strong initial emotional engagement, engagement levels significantly decline over time, suggesting habituation and emotional fatigue. The results refine our understanding of how algorithm-driven, short-form content affects users’ affective responses and highlight the limitations of facial metrics as sole indicators of physiological arousal. Implications for theory include advancing multimodal models of emotional engagement that account for divergences between expressivity and autonomic activation. Implications for practice emphasize the need for ethical platform design and improved digital well-being interventions. The originality and value of this study lie in its controlled experimental approach that synchronizes facial and physiological signals, offering objective evidence of the temporal decay of emotional engagement during continuous TikTok use and underscoring the complexity of measuring affect in highly stimulating digital environments.
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Effect of Signal Filtering on Metaheuristic-Based Structural Parameter Identification in Shear Building Models
(Ital Publication, 2025-06-01)
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Jaime De-la-Colina
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Jesús Valdés-González
This study evaluates the effectiveness of three metaheuristic algorithms—Genetic Algorithm (GA), Differential Evolution (DE), and Particle Swarm Optimization (PSO)—for identifying lateral interstory stiffness and the modal damping ratio in two-dimensional shear building models. The main objective is to estimate these parameters using time-domain displacement, velocity, and acceleration data, assuming known floor masses and unknown input excitation that primarily excites translational vibration modes. Three structural configurations with 2, 3, and 5 stories are analyzed to assess the scalability and robustness of each algorithm. To assess the effect of signal filtering on the performance of the algorithms, white noise is added to the synthetic response data at six levels ranging from 0% to 5% of the root mean square (RMS) amplitude. A sixth-order Butterworth filter is applied to evaluate the effect of signal preprocessing, and results obtained with and without filtering are compared. The results show that all three algorithms achieve acceptable levels of accuracy, even under noisy conditions. Filtering consistently improves identification accuracy, especially in high-noise conditions. In the most challenging case (5% noise, 5-story model), the average identification errors were 5.042% for GA, 5.106% for DE, and 5.035% for PSO. The findings underscore the practical value of integrating signal filtering with metaheuristic optimization for robust structural system identification in noise-contaminated environments. To account for the random nature of the algorithms, all results reported correspond to the average of 10 independent runs per identification scenario to ensure reliable performance evaluation.
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IoT-Based Smart Gas Meter With LTE Connectivity and Cloud Analytics for Stationary Tanks
(Institute of Electrical and Electronics Engineers (IEEE), 2026)
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Millions of homes in developing countries rely on stationary LPG tanks, yet the methods for monitoring fuel levels remain manual, unsafe, and highly inefficient. This paper addresses this issue by presenting the design, development, and implementation of an IoT-based smart gas meter that uses a noninvasive Hall-effect sensor to digitally read existing level gauges. Data is transmitted via LTE, eliminating the need for Wi-Fi and optimizing connectivity. The system is designed for low power consumption, achieving a battery life of more than eight years. Additionally, a cloud architecture is implemented in AWS to process the collected data, allowing real-time analysis, predictive maintenance, and logistics optimization. A field test was also conducted with 15 prototypes, demonstrating accurate gas level monitoring, reliable refill detection, and gas theft prevention.
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A Transformer-Based Multi-Task Learning Model for Vehicle Traffic Surveillance
(MDPI AG, 2025-11-29)
Fernando Hermosillo-Reynoso
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Erica Ruiz-Ibarra
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Armando García-Berumen
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Vehicle traffic surveillance (VTS) systems are based on the automatic analysis of video sequences to detect, classify, and track vehicles in urban environments. The design of new VTS systems requires computationally efficient architectures with high performance in accuracy. Conventional approaches based on multi-stage pipelines have been successfully used during the last decade. However, these systems need to be improved to face the challenges of complex, high-mobility traffic environments. This article proposes an efficient system based on transformer architectures for VTS channels. The proposed analysis system is evaluated in scenarios with high vehicle density and occlusions. The results demonstrate that the proposed scheme reduces the computational complexity required for multi-object detection and tracking and exhibits a Multiple Object Tracking Accuracy (MOTA) of 0.757 and an identity F1 score (IDF1) of 0.832 when compared to conventional multi-stage systems under the same conditions and parameters, along with achieving a high detection precision of 0.934. The results show the viability of implementing the proposed system in practical applications for high-density vehicle VTS channels.

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