Generación automática de narrativas: aventura fantástica

En este trabajo se desarrolla un dominio que, al ejecutarlo en un planificador, genere historias de interés narrativo. Se emplea la aventura fantástica como temática principal de la narración, basada en la disputa por objetos poderosos entre personajes con buenos y malos motivos. Para el desarrollo de dicho dominio, se emplea el lenguaje PDDL para su creación y el planificador Sayphi para su ejecución. Estudiaremos sus objetivos, planificación y diseño, así como el análisis de los resultados obtenidos en los problemas creados para él.This bachelor thesis develops a domain which, when executed in a planner, generates stories of narrative interest. The fantastic adventure is used as the main theme of the story, based on powerful items dispute between characters with good and evil motives. For its development, PDDL language is used for the creation of that domain, and Sayphi planner for its execution. We are going to study its objectives, planning and design, as well as the analysis of the results obtained from the problems created for it.Ingeniería Informátic

Rescaled bootstrap confidence intervals for the population variance in the presence of outliers or spikes in the distribution of a variable of interest

Confidence intervals for the population variance in the presence of outliers or spikes in the distribution of a variable of interest are topics that have not been investigated in depth previously. Results derived from a first Monte Carlo simulation study reveal the limitations of the customary confidence interval for the population variance when the underlying assumptions are violated, and the use of alternative confidence intervals is thus justified. We suggest confidence intervals based on the rescaled bootstrap method for many reasons. First, this is a simple technique that can be easily applied in practice. Second, it is free of probabilistic distributions. Finally, it can be easily applied to the cases of finite populations and samples selected from complex sampling designs. Results derived from a second Monte Carlo simulation study indicate that the suggested confidence intervals have desirable coverage rates with smaller average widths. Accordingly, an advantage of the suggested confidence intervals is that they offer a good compromise between simplicity and desirable properties. The various simulation studies are based on different scenarios that may arise in practice, such as the presence of outliers or spikes, and the fact that the underlying assumptions of the customary confidence interval are violated

Caracterización productiva de las estirpes de cerdo ibérico reconocidas dentro del libro genealógico de la raza y del catálogo oficial de razas de ganado de España

Ministerio de Agricultura y Pesca, Alimentación y Medio Ambiente (España

Development, Characterization, and In Vitro Evaluation of Resveratrol-Loaded Poly-(ε-caprolactone) Microcapsules Prepared by Ultrasonic Atomization for Intra-Articular Administration

Intra-articular administration of drugs to the joint in the treatment of joint disease has the potential to minimize the systemic bioavailability and the usual side-effects associated with oral drug administration. In this work, a drug delivery system is proposed to achieve an anti-inflammatory local effect using resveratrol (RSV). This study aims to develop microcapsules made of poly-(ε-caprolactone) (PCL) by ultrasonic atomization to preserve the antioxidant activity of RSV, to prevent its degradation and to suppress the inflammatory response in activated RAW 264.7 macrophages. An experimental design was performed to build a mathematical model that could estimate the effect of nozzle power and polymer concentration on particle size and encapsulation efficiency. RSV-loaded microcapsules showed adequate morphology, particle size, and loading efficiency properties. RSV formulations exhibited negligible cytotoxicity and an efficient amelioration of inflammatory responses, in terms of Nitric Oxide (NO), ROS (Reactive Oxygen Species), and lipid peroxidation in macrophages. Thus, RSV-loaded microcapsules merit consideration as a drug delivery system suitable for intra-articular administration in inflammatory disorders affecting the jointAcknowledgments: I.L.-G. is grateful to “Programa de axudas á etapa predoutoral da Xunta de Galicia (cofinanciadas por FSE Galicia 2014-2020), Consellería de Cultura, Educación e Ordenación Universitaria” program for doctoral fellowshipS

Dimethylzinc-Mediated Addition of Phenylacetylene to α-Diketones Catalyzed by Chiral Perhydro-1,3-benzoxazines

Producción CientíficaAn efficient enantioselective Me2Zn-mediated mono addition of phenylacetylene to α-diketones in the presence of a chiral perhydro-1,3-benzoxazine ligand is described. At temperatures higher than -20 ºC a kinetic resolution of the resulting α-hydroxy ketone occurs which greatly improves the enantioselectivity although with moderate chemical yield. The alkynylation of nonsymmetrical aromatic diketones with electronically different substituents on the aromatic rings proceed with high regioselectivity. This procedure allows the preparation of α-hydroxy-α-ynyl-ketones as highly enantioenriched materials.2018-07-07Ministerio de Economía, Industria y Competitividad (Project CTQ2014-59870 P)Junta de Castilla y León (programa de apoyo a proyectos de investigación – Ref. VA064U13

On Estimating the Headcount Index by Using the Logistic Regression Estimator

The problem of estimating a proportion has important applications in the field of economics, and in general, in many areas such as social sciences. A common application in economics is the estimation of the headcount index. In this paper, we define the general headcount index as a proportion. Furthermore, we introduce a new quantitative method for estimating the headcount index. In particular, we suggest to use the logistic regression estimator for the problem of estimating the headcount index. Assuming a real data set, results derived from Monte Carlo simulation studies indicate that the logistic regression estimator can be more accurate than the traditional estimator of the headcount index

Rolling contact fatigue study of railway rails

This work analyses the wheel-rail interaction in terms of rolling contact fatigue (RCF). For this purpose, a full scale testing machine was designed and built in order to apply the loads and boundary conditions appearing in the railway (up to 30 tons per wheel, application of lateral load in bends, inclination, angle of attack, presence of dust, water…) Eight tests were performed under different load conditions and rail grades and RCF cracks were generated after 50000 to 100000 cycles. The occurrence of cracks was determined by magnetic particle inspection at regular intervals in the course of the tests. When the non-destructive inspection showed the existence of cracks, the test was stopped and the rail longitudinally and transversally cut to perform a metallographic analysis in order to know the nature, growth direction, shape and size of the cracks. The cracks generated in the laboratory tests were identical to those seen in RCF affected railways and significant variations were found in the behavior of the different rail grades. The proposed test was able to simulate the damage produced in rails by RCF and allows the comparison of the fatigue behavior of different rail grades under highly controlled conditions

Effect of non-compliance with the normality hypothesis on the mean control charts

Los gráficos de control son ampliamente usados para monitorizar la calidad de procesos industriales. Tradicionalmente se asume que la variable aleatoria que representa la característica de calidad se distribuye de forma normal y los límites de control se definen de forma que la probabilidad de obtener una falsa alarma es 0.0027. Sin embargo, en la práctica la característica de calidad podría seguir otra distribución y este hecho podría afectar a la eficiencia del gráfico de control. En el presente trabajo se realiza un estudio de simulación Monte Carlo con el objetivo de evaluar empíricamente el impacto del incumplimiento del supuesto de normalidad en el gráfico de control para la media. Se consideran distintas distribuciones probabilísticas para analizar diferentes grados de incumplimiento. Adicionalmente, se han considerado situaciones en los que el proceso está bajo control y fuera de control. Los resultados sugieren que los gráficos de control son una herramienta efectiva cuando la distribución de la característica de calidad tiene una leve asimetría. Sin embargo, para obtener una efectividad similar a la obtenida bajo normalidad es necesario aumentar levemente el número de muestras o el tamaño de las mismas. En el caso de que la característica de calidad siga una distribución con un grado de asimetría mayor es necesario aumentar los tamaños muestrales para obtener resultados aceptables. Por último, no es recomendable utilizar los gráficos de control en situaciones extremas de falta de normalidad.Control charts are widely used to monitor the quality of industrial processes. It is quite common to assume that the random variable associated to the quality characteristic has a Normal distribution, and the control limits are defined so that the probability of obtaining a false alarm is 0.0027. However, the quality characteristic could follow a different distribution in practice, and this fact could have an impact on the efficiency of the control chart.In this paper, a Monte Carlo simulation study is carried out to evaluate empirically the impact of the lack of the normality assumption on the control chart for the mean. Different probabilistic distributions are considered. In addition, under control and out of control processes are considered.The results derived from the simulation study suggest that control charts are an effective tool when the distribution of the quality characteristic is slightly asymmetric. However, a large number of samples or larger sample sizes are required to obtain similar results to the case of symmetric distributions. In the case of asymmetric distributions, it is necessary to increase the sample sizes to obtain acceptable results. Finally, control charts are not recommended under evident cases of non-normality.Universidad Pablo de Olavid