One of the main challenges in medicine is to guarantee an appropriate drug supply according to the real needs of patients. Closed-loop strategies have been widely used to develop automatic solutions based on feedback variables. However, when the variable of interest cannot be directly measured or there is a lack of knowledge behind the process, it turns into a difficult issue to solve. In this research, a novel algorithm to approach this problem is presented. The main objective of this study (...) is to provide a new general algorithm capable of determining the influence of a certain clinical variable in the decision making process for drug supply and then defining an automatic system able to guide the process considering this information. Thus, this new technique will provide a way to validate a given physiological signal as a feedback variable for drug titration. In addition, the result of the algorithm in terms of fuzzy rules and membership functions will define a fuzzy-based decision system for the drug delivery process. The method proposed is based on a Fuzzy Inference System whose structure is obtained through a decision tree algorithm. A four-step methodology is then developed: data collection, preprocessing, Fuzzy Inference System generation, and the validation of results. To test this methodology, the analgesia control scenario was analysed. Specifically, the viability of the Analgesia Nociception Index as a guiding variable for the analgesic process during surgical interventions was studied. Real data was obtained from fifteen patients undergoing cholecystectomy surgery. (shrink)

In this paper, we examine the legal case involving the Court of Arbitration of Sport, the Union of European Football Associations, and the Turkish team Eskişehirspor to analyze the leg...

The analysis of so-called ?strategic intentional fouls? (SIF) as well as the discussion of their validity in the normative systems of sports have a long track record. These fouls can be characterised as rule violations committed in order to be detected and which accept the corresponding sanction. However, there is an additional goal of obtaining an advantage or subsequent benefit in the competition. In fact, this practice is not infrequent and it is even occasionally accepted by the players themselves, referees, (...) judges, sports authorities and spectators. In this work I have analysed the internal structure of SIFs (the features of an axiological gap and a ?special intention?) with a view to providing a deeper understanding and stressing the differences with closely related concepts: cheating, and especially fraus legis or what in Anglo-Saxon culture is called ?spoiling the game?. Finally, I try to show some difficulties in distinguishing SIF from gamesmanship. (shrink)

El artículo versa sobre el uso de las nociones "Dios" y "soberano" en la Baja Edad Media. A su vez, trata de mostrar las diversas analogías entre las propiedades ambos conceptos (omnipotencia, unidad, ilimitabilidad, indivisibilidad), así como: 1° los problemas explicativos de la relación Dios-mundo y Estado-Derecho ; 2° la analogía entre el milagro y el poder constituyente originario ; 3° la afinidad entre el dogma de la infalibilidad papal y la cosa juzgada. En último lugar, se hace referencia a (...) la función justificatoria de estas analogías con el propósito de legitimar el papel de soberano en un momento histórico de profundos cambios sociales, políticos y jurídicos. (shrink)

In this work I offer a panorama of the diverse areas where the philosophical reflection has been developed during these last years: the conceptual, ethical and aesthetic questions. The conceptual problems of the sport have turned around: 1) game and sport; 2) the paper of the rules and the values in the sportive normative system; 3) the competitive character and playful of the sport. The more debated ethical questions have been: 1) sport and gender; 2) sport and nationalism; 3) sport (...) and violence. (shrink)

This book could appeal to the reader who wants to enter the field of ‘official sport philosophy’ but it is also interesting for those who are already part of the discussion and are looking for new arguments and points of view. In this sense, the book is written in a way that can perfectly be used by begginers in the topic, but can also be useful in discussions among researchers.

This book could appeal to the reader who wants to enter the field of ‘official sport philosophy’ but it is also interesting for those who are already part of the discussion and are looking for new arguments and points of view. In this sense, the book is written in a way that can perfectly be used by begginers in the topic, but can also be useful in discussions among researchers.

El patrimonio cultural ha adquirido un sentido cada vez más complejo, amplio y dinámico. De una parte, se ha trascendido el antiguo paradigma monumental; de otra, el patrimonio se ha extendido a innumerables ámbitos epistemológicos y prácticos que lo interpretan y aplican según sus intereses.Desde una perspectiva teórica, este trabajo pretende una aproximación conceptual al patrimonio cultural a través de algunas claves que deberían estar presentes en toda reflexión patrimonial. Esta investigación se extenderá también a la noción de Paisaje Urbano (...) Histórico y al ámbito de la arquitectura vernácula a fin de mostrar esa complejidad y su problemática real. (shrink)

A large part of technological advances, especially in the field of industry, have been focused on the optimization of productive processes. However, the detection of anomalies has turned out to be a great challenge in fields like industry, medicine or stock markets. The present work addresses anomaly detection on a control level plant. We propose the application of different intelligent techniques, which allow to obtain one-class classifiers using real data taken from the correct plant operation. The performance of each classifier (...) is assessed and validated with real created faults, achieving successful overall results. (shrink)

ABSTRACT This article maintains that in Stoicism physics depends epistemologically on ethics because the theological theses (which are part of stoic physics) about that the gods are beneficial and care about human beings depend on knowledge of the ethical realm of philosophy to be sustained or established forcefully. It is possible appreciate that dependence in the response Stoics would have given to the criticism of other philosophical schools to some of the Stoic theological theses. This is not a minor issue, (...) because the question about whether there are foundational relationships between ethics and physics or not depends on it. The proposal in this article intends to support the negative answer to this question under discussion in contemporary studies on Stoicism. (shrink)

This article answer what could be the distinction that the Stoics established between philosophy and the kata philosophian logos, according to the report by D.L., VII, 39-41. In this place I distance from the scholars who consider that the distinction is ontological, this is, that the kata philosophian logos refers to the discursive presentation of Stoic dogmas, whose nature is incorporeal, while the philosophy refers to a disposition of the soul, whose nature is corporeal. I rather propose that both are (...) dispositiones or states of the rational part of the soul and that the difference is in the degree of perfection that they have accomplished. (shrink)

Elite athletes are characterized by their high level of performance in sport. Since the very beginnings of sport, it has been understood that physical and physiological abilities influence the performance of athletes. Advances in scientific knowledge, especially sport psychology and neuroscience, seem to confirm this intuition and consequently it is possible to characterize elite athletes as having an extraordinary combination of physical and mental abilities. Techniques and substances that contribute to enhancing physical characteristics of athletes have also been well known (...) for ages. But it is now possible to make use of other techniques and substances that not only enhance physical abilities but also cognitive capabilities, which seem to require greater consideration given their direct impact on the athlete’s brain. In this article, we examine two such techniques, cognitive enhancers and transcranial stimulators, and highlight the potential advantages and drawbacks that applying each one may have on sport. Given the relative novelty of these enhancement techniques and substances and the absence of conclusive evidence regarding their short- and long-term effects, we deem that their use ought to be strictly governed by cautionary principles. But due to that same lack of evidence, we believe that the possibility of examining the feasibility of applying these techniques to sport should not be denied. (shrink)

ABSTRACTIn this article, we contextualize and introduce the papers that comprise the special issue, “Bernard Suits’ Legacy: New Inspirations and Interpretations.” The articles discuss the work of S...

This paper aims to enhance security in IoT device networks through a visual tool that utilizes three projection techniques, including Beta Hebbian Learning (BHL), t-distributed Stochastic Neighbor Embedding (t-SNE) and ISOMAP, in order to facilitate the identification of network attacks by human experts. This work research begins with the creation of a testing environment with IoT devices and web clients, simulating attacks over Message Queuing Telemetry Transport (MQTT) for recording all relevant traffic information. The unsupervised algorithms chosen provide a set (...) of projections that enable human experts to visually identify most attacks in real-time, making it a powerful tool that can be implemented in IoT environments easily. (shrink)

Nowadays, the quality standards of higher education institutions pay special attention to the performance and evaluation of the students. Then, having a complete academic record of each student, such as number of attempts, average grade and so on, plays a key role. In this context, the existence of missing data, which can happen for different reasons, leads to affect adversely interesting future analysis. Therefore, the use of imputation techniques is presented as a helpful tool to estimate the value of missing (...) data. This work deals with the academic records of engineering students, in which imputation techniques are applied. More specifically, it is assessed and compared to the performance of the multivariate imputation by chained equations methodology, the adaptive assignation algorithm based on multivariate adaptive regression splines and a hybridization based on self-organisation maps with Mahalanobis distances and AAA algorithm. The results show that proposed methods obtain successfully results regardless the number of missing values, in general terms. (shrink)

Resumen. La presente investigación ofrece la oportunidad de pensar y dialogar sobre la estrategia, los objetivos, las personas y el futuro de la gestión municipal del H. Ayuntamiento de Navolato desde una perspectiva del conocimiento. Se trata pues de averiguar qué características deben cumplir esos recursos para adquirir un carácter estratégico. La información se obtuvo mediante una encuesta semiestructurada, aplicada a 181 individuos. Los datos recabados fueron objeto, en un principio, de dos tipos de tabulaciones. En algunos casos sólo se (...) efectúo una tabulación simple, que consistió en el conteo de una sola variable; en otros casos la tabulación fue cruzada contando dos o más variables de forma simultánea. Para el análisis de los datos se utilizó el programa de tratamiento de datos estadísticos SPSS versión 12 para Windows, que facilitó el tratamiento inferencial de los datos extraídos de la muestra seleccionada. El análisis de los resultados muestra que el Ayuntamiento presenta perfiles favorables para una gestión del conocimiento, óptima y eficaz, al alcanzar una puntuación total de 115, contando con una fortaleza estructural interna. Se concluye que las administraciones públicas no son ajenas a la sociedad del conocimiento, se están acomodando a estas nuevas exigencias, mejorando sus procesos para satisfacer las nuevas necesidades de los ciudadanos. Redefiniendo la función pública y el servicio público, a través de la búsqueda de mecanismos para conocer y medir el valor de la gestión del conocimiento, y así poder llevar a cabo una gestión eficiente y eficaz de estos recursos.Palabras Claves. Administración pública municipal, Gestión del conocimiento, Nueva Gestión Pública, Economía aplicada.. This research provides an opportunity to think and discuss the strategy, goals, people and future of municipal management of Navolato City knowledge perspective. It is about finding out what characteristics should meet those resources to acquire a strategic nature. The information was obtained through a semistructured survey applied to 181 individuals. The data collected were subjected, in principle, two types of tabs. In some cases only made a simple tabulation, which consisted of a single variable count, in other cases the cross tabulation was counting two or more variables simultaneously. For data analysis software was used for statistical data processing SPSS version 12 for Windows, which facilitated inferential treatment of the extracted data from the selected sample. The analysis of the results shows that the City has profiles favorable for knowledge management, optimal and efficient, to achieve a total score of 115, relying on internal structural strength. We conclude that public administrations are not foreign to the knowledge society, are arranging to these new demands by improving their processes to satisfy the new needs of citizens. Redefining the civil and public service, through the search for mechanisms to analyze and measure the value of knowledge management, and therefore be able to carry out a efficient and effective management of these resources.Keywords. Municipal public administration, knowledge management, new public management, applied economic. (shrink)

This paper addresses the possibility of robots engaging in sports. Recently, several movies like Ex-Machina, Chappi, and Transcendence challenge the spectator to think of the consequences of creating artificial intelligences. Although we refer to athletes who have outstanding sporting performances as machines, for example, in cycling people say ‘the cyclist looked like a machine with wheels,’ the potential participation of such AI in sport has not been addressed. For our argument’s sake, we will assume that the creation of human-like robots (...) who will mirror human athletes’ behavior in the playing field will be possible. Recent advances in cybernetics and robotics point in this way. As argued in the literature on philosophy of mind, the fact that intelligent robots seem to be doing something does not imply they are actually doing it. Understood in this way, sport can be conceived as a particular ‘imitation game’ or Turing test, which permits us to distinguish between an artificial intelligence... (shrink)

In this study, a hybrid model based on intelligent techniques is developed to predict the active power generated in a bioclimatic house by a low power wind turbine. Contrary to other researches that predict the generated power taking into account the speed and the direction of the wind, the model developed in this paper only uses the speed of the wind, measured mainly in a weather station from the government meteorological agency (MeteoGalicia). The wind speed is measured at different heights, (...) against the usual measurements in others researches, which uses the wind speed and the direction measured in a weather station on the wind turbine nacelle. The prediction is performed 30 minutes ahead, what ensures that the Building Management System knows the energy generated by the low power wind turbine 30 minutes before, and it can adapt the consumption of different equipment in the house to optimize the power use. The main objective is to allow the Building Management System to optimize the uses of energy, taking into account the predicted amount of energy that will be produced and the energy consumed in the house. The developed model uses a hybrid topology with four clusters to improve the prediction, achieving an error lower than 6.5% for Mean Absolute Error measured in a final test. To perform this test, part of the original dataset was isolated from the beginning of the training process to check the model with a dataset that is not used before, simulating the model as it is receiving new data. (shrink)

Student performance and its evaluation remain a serious challenge for education systems. Frequently, the recording and processing of students’ scores in a specific curriculum have several flaws for various reasons. In this context, the absence of data from some of the student scores undermines the efficiency of any future analysis carried out in order to reach conclusions. When this is the case, missing data imputation algorithms are needed. These algorithms are capable of substituting, with a high level of accuracy, the (...) missing data for predicted values. This research presents the hybridization of an algorithm previously proposed by the authors called adaptive assignation algorithm, with a well-known technique called multivariate imputation by chained equations. The results show how the suggested methodology outperforms both algorithms. (shrink)

Closed-loop administration of propofol for the control of hypnosis in anesthesia has evidenced an outperformance when comparing it with manual administration in terms of drug consumption and post-operative recovery of patients. Unlike other systems, the success of this strategy lies on the availability of a feedback variable capable of quantifying the current hypnotic state of the patient. However, the appearance of anomalies during the anesthetic process may result in inaccurate actions of the automatic controller. These anomalies may come from the (...) monitors, the syringe pumps, the actions of the surgeon or even from alterations in patients. This could produce adverse side effects that can affect the patient postoperative and reduce the safety of the patient in the operating room. Then, the use of anomaly detection techniques plays a significant role to avoid this undesirable situations. This work assesses different one-class intelligent techniques to detect anomalies in patients undergoing general anesthesia. Due to the difficulty of obtaining real data from anomaly situations, artificial outliers are generated to check the performance of each classifier. The final model presents successful performance. (shrink)

Batteries are a fundamental storage component due to its various applications in mobility, renewable energies and consumer electronics among others. Regardless of the battery typology, one key variable from a user’s perspective is the remaining energy in the battery. It is usually presented as the percentage of remaining energy compared to the total energy that can be stored and is labeled State Of Charge (SOC). This work addresses the development of a hybrid model based on a Lithium Iron Phosphate (LiFePO4) (...) power cell, due to its broad implementation. The proposed model calculates the SOC, by means of voltage and electric current as inputs and the latter as the output. Therefore, four models based on k-Means, Agglomerative Clustering, Gaussian Mixture and Spectral Clustering techniques have been tested in order to obtain an optimal solution. (shrink)

This work focuses on the application of machine learning techniques to assist the clinicians in the administration of analgesic drug during general anaesthesia. Specifically, the main objective is to propose the basis of an intelligent system capable of making decisions to guide the opioid dose changes based on a new nociception monitor, the analgesia nociception index. Clinical data were obtained from 15 patients undergoing cholecystectomy surgery. By means of an off-line study, machine learning techniques were applied to analyse the possible (...) relationship between the analgesic dose changes performed by the physician due to the hemodynamic activity of the patients and the evolution of the ANI. After training different classifiers and testing the results under cross validation, a preliminary relationship between the evolution of ANI and the dosage of remifentanil was found. These results evidence the potential of the ANI as a promising index to guide the infusion of analgesia. (shrink)

Automatic control of physiological variables is one of the most active areas in biomedical engineering. This paper is centered in the prediction of the analgesic variables evolution in patients undergoing surgery. The proposal is based on the use of hybrid intelligent modelling methods. The study considers the Analgesia Nociception Index to assess the pain in the patient and remifentanil as intravenous analgesic. The model proposed is able to make a one-step-ahead prediction of the remifentanil dose corresponding to the current state (...) of the patient. The input information is the previous remifentanil dose, the ANI variable and the electromyogram signal. Modelling techniques used are Artificial Neural Networks and Support Vector machines for Regression combined with clustering methods. Both training and validation were done with a real dataset from different patients. Results obtained show the potential of this methodology to calculate the drug dose corresponding to a given analgesic state of the patient. (shrink)

Los fondos de inversión se han convertido en los últimos años en un mecanismo frecuente que los clubes de fútbol utilizan para financiar el fichaje de jugadores. Aunque muchos autores han destacado sus efectos beneficiosos al permitir que los clubes adquieran jugadores que de otra manera no podrían conseguir, en este trabajo nos centramos en enfatizar dos problemas que pueden plantear. En primer lugar, hemos tratado de mostrar que pueden generar un progresivo alejamiento de los aficionados. En segundo lugar, a (...) través del dilema del prisionero nos hemos propuesto mostrar que pueden contribuir a aumentar a largo plazo la deuda de los clubes y amenazar el fair play financiero.Investment funds have become in recent years a frequent mechanism football clubs use to finance signing of football players. Although many authors have highlighted their beneficial effects by allowing clubs to acquire players who otherwise they would not get, in this paper we focus on two problems. First, we have tried to show that they can generate a progressive distancing from the fans. Secondly, through the prisoner’s dilemma we intend to show that they can contribute to increasing long-term clubs debt and threaten the financial fair play. (shrink)

Uterus transplantation (UTx) research has been introduced in several countries, with trials in Sweden and the United States producing successful outcomes. The growing interest in developing UTx trials in other countries, such as Spain, the Netherlands, Japan, and Australia, raises important questions regarding the ethics of surgical innovation research in the field of UTx. This paper examines the current state of UTx in the context of the surgical innovation paradigm and IDEAL framework and discusses the ethical challenges faced by those (...) considering the introduction of new trials. We argue that UTx remains an experimental procedure at a relatively early stage of the IDEAL framework, especially in the context of de novo trials, where protocols are likely to deviate from those used previously and where researchers are likely to have limited experience of UTx. We conclude that countries considering the introduction of UTx trials should build on the strengths of the reported outcomes to consolidate the evidence base and shed light on the uncertainties of the procedure. Authorities responsible for the ethical governance of UTx trials are advised to draw on the ethical framework used in the oversight of surgical innovation. (shrink)

Nowadays, batteries play an important role in a lot of different applications like energy storage, electro-mobility, consumer electronic and so on. All the battery types have a common factor that is their complexity, independently of its nature. Usually, the batteries have an electrochemical nature. Several different test are accomplished to check the batteries performance, and commonly, it is predictable how they work depending of their technology. The present research describes the hybrid intelligent system created to accomplish fault detection over a (...) Lithium Iron Phosphate—LiFePO4 power cell type, commonly used in electro-mobility applications. The approach is based on the cell temperatures behaviour for voltage and current specific values. Taken into account the operating range of a real system based on a LiFePO4 cell, a large set of points of operation have been used to achieve the dataset. The different behaviour zones have been obtained by clustering as a first step. Then, different regression techniques have been used over each cluster. Polynomial regression, artificial neural networks and support vector regression were the combined techniques to develop the hybrid intelligent model proposed. The intelligent system gives very good results over the operating range, detecting all the faults tested during the validation. (shrink)