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La romanización de Eneas en el Infierno
No full textTrabajo de fin de Grado. Grado en Filología Clásica. Curso académico 2024-2025La transformación esencial de Eneas tiene lugar en el Infierno. Durante su estancia en el Infierno, el héroe épico cambia su personalidad, sumiéndose cada vez más en sí mismo, tal y como explora esta obra. De este modo, Eneas experimenta un proceso psicológico que puede ser doloroso, pero que siempre es necesario para su transformación romana, que alcanza su punto álgido hacia el final del libro VI. Antes de abandonar el infierno, el héroe de Virgilio representa la máxima expresión de la virtud romana (pietas, en opinión de Virgilio) como héroe nacional de los romanos. A través de su aprendizaje, adquiere una claridad mental que antes no tenía.The essential transformation of Aeneas takes place in Hell. During his time in Hell, the epic hero
changes his personality, falling deeper and deeper into himself, as this work explores. In this way,
Aeneas experiences a psychological process that may be painful, but is always necessary far his
Roman transformation, which is a peak in him toward the end of Book 6. Befare leaving Hell, Virgil's
hero represents the highest expression of Roman virtue (pietas, in Virgil's view) as a national hero of
the Romans. Through his learning, he gains the mental clarity that he hasn't previously
Between Local Defence and Imperial Projection: Managing Military Knowledge in Cádiz during the Eighteenth Century
No full textThis article examines the connection between local defense and global projection in eighteenth-century Cádiz, focusing on the management of military knowledge. Through an analysis of the relaciones de defensa produced by Bourbon military engineers and the work of the Royal Board of Fortifications, it shows how information on fortifications, resources, and threats was employed both to secure the city and to shape imperial strategy. In doing so, Cádiz emerged as a military laboratory where technical expertise, political authority, and the Atlantic ambitions of the Spanish Monarchy were brought together.El presente artículo examina la relación entre la defensa local y la proyección global de Cádiz en el siglo XVIII a partir de la gestión del conocimiento militar. A través del análisis de las relaciones de defensa elaboradas por la ingeniería borbónica y de la labor de la Real Junta de Fortificaciones, se muestra cómo la información sobre fortificaciones, recursos y amenazas fue empleada tanto para garantizar la seguridad de la plaza como para planificar la estrategia imperial. De este modo, Cádiz se consolidó como un laboratorio castrense donde se articularon saber técnico, control político y proyección atlántica de la Monarquía Hispánica
Bravo Caro, Juan Jesús, Ybáñez Worboys, Pilar (Eds.) (2024). Sociedades multiculturales en Iberoamérica y el Mediterráneo (siglos XV-XXI)
No full textEl principio de inferencia bayesiano en mla investigación farmacológica: un análisis epistémico
No full textVersión reducida de la Tesis[ES] La hipótesis que se plantea en este estudio se relaciona con la utilidad de la estimación de parámetros de interés en la dosificación de fármacos utilizando técnicas bayesianas; en este sentido, se parte de la premisa de que tal metodología supuso un cambio de paradigma que, de la mano de las contribuciones y controversias surgidas en el seno de la filosofía de la ciencia, despertó la atención de los investigadores de la segunda mitad del s. XX y desencadenó un animado debate entre los partidarios del frecuentismo (defensores de la inferencia estadística tradicional, basada en los conceptos clásicos de probabilidad y contraste de hipótesis) y el bayesianismo (basado en el concepto probabilístico del teorema de Bayes –la interpretación de la probabilidad como un grado de creencia actualizable–). Este estudio se apoya sobre la base de que, independientemente de los problemas y limitaciones que se le atribuyen, el enfoque bayesiano contribuyó y sigue contribuyendo de manera decisiva a la optimización de las pautas posológicas y que la estimación bayesiana de parámetros se ha transformado en una herramienta fundamental en el entorno clínico para la individualización (adaptación a las características de cada paciente individual) de los regímenes de dosificación.
Se pretende, pues, mostrar que la estimación bayesiana constituye un recurso de inestimable valor en la dosificación personalizada de fármacos, contribuyendo a la optimización de los resultados terapéuticos y mostrando, en definitiva, un rendimiento mucho mejor que los métodos tradicionales basados exclusivamente en valores medios de la población o en aproximaciones empíricas
Análisis crítico comparativo de los Planes de Ordenación Docente de las Universidades de Alicante, Almería, Salamanca y Málaga
No full text[ES]El presente informe establece una comparativa crítica entre los Planes de Ordenación Docente (POD) o equivalentes de cuatro universidades españolas: la Universidad de Alicante (UA), la Universidad de Almería (UAL), la Universidad de Salamanca (USAL) y la Universidad de Málaga (UMA). Utilizando la metodología de valoración crítica con perspectiva de género y contrastando la estructura de los planes con los diagnósticos de sus respectivos Planes de Igualdad (PI), se demuestra cómo estos instrumentos normativos, a menudo percibidos como neutros, pueden perpetuar la segregación vertical de género y la brecha salarial. El análisis se centra en la priorización de las actividades de alta promoción (investigación y gestión superior) frente a las de baja promoción (servicio, mentoría y coordinación de base), y en la insuficiente compensación de las responsabilidades de conciliación y cuidados
A novel consensus model integrating asynchronous opinion evolution and dynamic trust-driven three-way decision for incomplete multi-scale information systems
No full text[EN] In the era of big data, the integration of data from multiple sources to enhance decision-making processes has become a crucial challenge. Traditional information fusion methods often struggle with incomplete multi-scale information systems, resulting in biased conclusions and an inability to fully leverage the potential connections within the data. This study addresses these limitations by proposing a novel consensus model that integrates asynchronous opinion evolution in the DeGroot model with dynamic trust-driven three-way decision. The method employs adaptive multi-scale clustering partitioning and mutual information to uncover potential associations among the original data, introduces an interval-based neighborhood representation and a weighted aggregation approach to more reasonably impute missing values, and determines the optimal scale through the analysis of the information entropy structure curve. Furthermore, considering the asynchronous behaviors and interactive influences among decision-makers in social networks, the proposed model incorporates a differentiated group consensus regulation method to achieve more flexible and robust group decision-making. The experimental results demonstrate the effectiveness of the method proposed in this paper, with significant improvements in key indicators such as the number of modifications and iterations required to reach a consensus, while maintaining a relatively low adjustment cost. Specifically, the number of modifications and the number of iterations achieved by the proposed method are the lowest among the compared methods, indicating its superior performance in consensus-reaching processes. These findings highlight the model’s ability to efficiently handle incomplete information and enhance the rationality and dynamic adaptability of group decision-making, making it a valuable tool for information fusion.The research was partially supported by grants from NSFC (12571494; 12471430), graduate student research and innovation
project of Hubei Minzu University (MYK2025084) and Alcantud gratefully acknowledges financial support of the Department of Education of the Junta de Castilla y León and FEDER Funds (No. CLU-2O25-2-03)
Three-way group consensus based on fuzzy social networks under probabilistic linguistic preference relations
No full text[EN] The advancement of technology and the rapid developments in the field of artificial intelligence have led to a surge in the research on decision-making in uncertain environments. Furthermore, individual decision-making
is too simplistic to solve the complex decision-making problems posed by these challenges, leading to study
group decision-making (GDM). Particularly, fuzzy social networks (FSNs) and fuzzy preference relations (FPRs)
have important applications in GDM. In addition, probabilistic linguistic term sets (PLTSs) have succeeded as
a bridge among natural language, fuzzy reasoning, and probability theory. However, the existing research on
GDM under PLTSs faces three key challenges: flaws in PLTSs distance measurement, lack of FSN modeling, and the over-simplified feedback mechanism. These challenges severely impede the effectiveness and reliability of consensus reaching process (CRP) in complex decision-making scenarios. Motivated by these facts, this paper designs a three-way group consensus method based on FSNs under probabilistic linguistic preference relations (PLPRs), namely, the TWD-FSN-PLPR method. This method consists of three successive parts. The first part is the design of an improved consistency method based on the properties of PLTSs. Its main purpose is to ensure that the information on evaluations provided by the decision makers (DMs) maintains internal consistency, paving the way for subsequent GDM. The goal of the second part is to compute the DMs’ weights. Their own familiarity with the PLTS’s cross-entropy and self-confidence are used to construct a directed weighted FSN and then produce the weights from a metric based on social influence. The third part is the consensus reaching process, whose efficiency is improved by a combination of three-way decision and minimum cost, and implementing a penalty mechanism for non-cooperative DMs. In addition, the optimal alternative is selected using regret theory. The methodology is applied to a real case and compared with multiple methods to illustrate its rationality and superiority.Department of Education of the Junta de Castilla y León and FEDER Fund
Ciencia abierta y repositorios institucionales
No full text[ES]Presentación utilizada en la "Semana del Sexenio BUCLE 2025
The Effect of Institutional Pressures and Business Incentives on the Level of Corporate Compliance System Implementation
No full text[EN] The risk of noncompliance with societal requirements, internal policies, and industry standards can damage a company's reputation and image. There may be institutional pressures and firm incentives and characteristics that drive the implementation of a compliance management system (CMS). To observe the effect of institutional pressures on CMS implementation, several cultural factors—mimetics, collectivism, femininity, power distance, uncertainty avoidance, tolerance, and long-term orientation—are analyzed. Meanwhile, the firm's incentives are examined through the characteristics of the board of directors and the company that could encourage implementation. Finally, the joint effect of these aspects is considered. Tobit regression analysis was conducted on a sample of 5471 observations from 814 international firms listed for the years 2007–2014. Tobit analysis using panel data was used to examine the effect of the variables over time and obtain consistent and efficient results in the presence of censored variables. Tolerant and individualistic societies influence CMS implementation. Regarding the characteristics of the board of directors, the board's independence encourages CMS implementation. The size of the board shows a curvilinear relationship, and attendance at the boards of directors—contrary to what was expected—decreases CMS implementation. This study addresses the gaps in the literature on the determinants that lead companies to implement a CMS. Moreover, it shows that, although institutional pressures and company incentives are important, their interaction could impact its individual effectiveness
Leader–member exchange (LMX) and performance: the moderating role of organizational form of individual fashion stores
No full textThis study reveals how the level of leader-member exchange (LMX)
in 267 individual stores in a Spanish fashion retail chain is associated
to store-level performance estimated through two indicators
commonly used in this industry: labour productivity and service
quality ratings. We also appraise the moderating role played by the
organizational form (company ownership vs. franchising) of individual
stores in the relationship between LMX and store performance.
We have used multivariate analyses to study the research questions,
with a panel dataset of quarterly store-level data for the period
January 2022–December 2023. The relationship between LMX and
labour productivity is positive and significant, and franchising
increases it. However, franchising reduces the positive and significant
relationship between LMX and service quality ratings. The
results are robust across our numerous specifications.The authors acknowledge financial support from the Instituto Multidisciplinar de Empresa (IME) of
the University of Salamanca, from the Department of Education of the Junta de Castilla y León
[Grant SA070G24], from the Research Unit of Excellence “Economic Management for Sustainability”
(GECOS) (Reference: CLU-2O25-2-03), from the Spanish Ministry of Science and Innovation and AEI,
MCIN/AEI/10.13039/501100011033, and from the European Union [Grant PID2022-136496NB-I00]