Subjective well -being as predictor of mortality, heart disease, and obesity: Prospective evidence from the Alameda County Study

Based on the World Health Organization's (1965) definition of health, understanding of health requires understanding of positive psychological states. Subjective Well-being (SWB) is a major indicator of positive psychological states. Up to date, most studies of SWB have been focused on its distributions and determinants. However, study of its consequences, especially health consequences, is lacking. This dissertation research examined Subjective Well-being, as operationally defined by constructs drawn from the framework of Positive Psychology, and its sub-scores (Positive Feelings and Negative Feelings) as predictors of three major health outcomes—mortality, heart disease, and obesity. The research used prospective data from the Alameda County Study over 29 years (1965–1994), based on a stratified, randomized, representative sample of the general public in Alameda County, California (Baseline N = 6928). ^ Multivariate analyses (Survival analyses using sequential Cox Proportional Hazard models in the cases of mortality and heart disease, and sequential Logistic Regression analyses in the case of obesity) were performed as the main methods to evaluate the associations of the predictors and the health outcomes. The results revealed that SWB reduced risks of all-cause mortality, natural-cause mortality, and cardiovascular mortality. Positive feelings not only had an even stronger protective effect against all-cause, natural-cause and cardiovascular mortality, but also predicted decreased unnatural-cause mortality which includes deaths from suicide, homicide, accidents, mental disorders, drug dependency, as well as alcohol-related liver diseases. These effects were significant even after adjusted for age, gender, education, and various physical health measures, and, in the case of cardiovascular mortality, obesity and health practices (alcohol consumption, smoking, and physical activities). However, these two positive psychological indicators, SWB and positive feelings, did not predict obesity. And negative feelings had no significant effect on any of the health outcomes evaluated, i.e., all-cause mortality, natural- and unnatural-cause mortality, cardiovascular mortality, or obesity, after covariates were controlled. These findings were discussed (1) in comparison with relevant existing studies, (2) in terms of their implications in health research and promotion, (3) in terms of the independence of positive and negative feelings, and (4) from a Positive Psychology perspective and its significance in Public Health research and practice. ^

Actividad biológica de Lonchocarpus guaricensis Pittier en el control de larvas de Tuta absoluta (Meyrick)

La actividad biológica de Lonchocarpus guaricensis Pittier fue evaluada utilizando dos dosis de Tecnona® en el control de larvas de Tuta absoluta (Meyrick), Valle de Azapa, Chile, mediante una pulverización sobre plantas de tomate cv. Naomi en macetas, ubicadas aleatoriamente en un invernáculo dentro de un vivero. Semanas previas a la pulverización, las macetas se infestaron artificialmente con adultos del fitófago para obtener larvas en los foliolos. Los tratamientos evaluados fueron los siguientes: T1 (0,21 g de IA de L. guaricensis·L-1), T2 (0,43 g de IA de L. guaricensis·L-1), T3 (control positivo a base de spinosad 0,048 g de IA·L-1) y T0 (control negativo a base de agua de pozo). De acuerdo con el porcentaje de mortalidad acumulada de larvas contabilizadas a las 24, 48, 120 horas y 9no día post aplicación, no hay diferencias estadísticas entre los tratamientos T0 y T1, a su vez, T2 alcanza una media de 53,05% de mortalidad, no diferenciándose de T3 que logra un 73,9%. Se concluye que la dosis experimental L. guaricensis de 0,43 g de IA∙ L-1 puede constituir una alternativa interesante de utilizar en el Manejo Integrado de Plagas del cultivo de tomate en el Valle de Azapa.

Automated Tools for Layer Recognition (BMPix) and Counting (PEAK)

We present tools for rapid and quantitative detection of sediment lamination. The BMPix tool extracts color and gray-scale curves from images at pixel resolution. The PEAK tool uses the gray-scale curve and performs, for the first time, fully automated counting of laminae based on three methods. The maximum count algorithm counts every bright peak of a couplet of two laminae (annual resolution) in a smoothed curve. The zero-crossing algorithm counts every positive and negative halfway-passage of the curve through a wide moving average, separating the record into bright and dark intervals (seasonal resolution). The same is true for the frequency truncation method, which uses Fourier transformation to decompose the curve into its frequency components before counting positive and negative passages. We applied the new methods successfully to tree rings, to well-dated and already manually counted marine varves from Saanich Inlet, and to marine laminae from the Antarctic continental margin. In combination with AMS14C dating, we found convincing evidence that laminations in Weddell Sea sites represent varves, deposited continuously over several millennia during the last glacial maximum. The new tools offer several advantages over previous methods. The counting procedures are based on a moving average generated from gray-scale curves instead of manual counting. Hence, results are highly objective and rely on reproducible mathematical criteria. Also, the PEAK tool measures the thickness of each year or season. Since all information required is displayed graphically, interactive optimization of the counting algorithms can be achieved quickly and conveniently.

Spatial spillover effects in determining China's regional CO2 emission growth : 2007-2010

This paper proposes an alternative input-output based spatial-structural decomposition analysis to elucidate the role of domestic-regional heterogeneity and interregional spillover effects in determining China's regional CO2 emission growth. Our empirical results based on the 2007 and 2010 Chinese interregional input-output tables show that the changes in most regions' final demand scale, final expenditure structure and export scale give positive spatial spillover effects on other regions' CO2 emission growth, the changes in most regions' consumption and export preference help the reduction of other regions' CO2 emissions, the changes in production technology, and investment preference may give positive or negative impacts on other region's CO2 emission growth through domestic supply chains. For some regions, the aggregate spillover effect from other regions may be larger than the intra-regional effect in determining regional emission growth. All these facts can significantly help better and deeper understanding on the driving forces of China's regional CO2 emission growth, thus can enrich the policy implication concerning a narrow definition of "carbon leakage" through domestic-interregional trade, and relevant political consensus about the responsibility sharing between developed and developing regions inside China.

Seismic modelling and ava analysis of hidrocarbon traps

In this study, forward seismic modelling of four geological models with Hydrocarbon (HC) traps were performed by ray tracing method to produce synthetic seismogram of each model. The idea is to identify the Hydrocarbon Indicators (HCI‟s) such as bright spot, flat spot, dim spot and Bottom Simulating Reflector (BSR) in the synthethic seismogram. The modelling was performed in DISCO/FOCUS 5.0 seismic data processing programme. Strong positive and negative reflection amplitudes and some artifact reflection horizons were observed on produced seismograms due to rapid changes in subsurface velocity and geometry respectively Additionally, Amplitude-versus-angle (AVA) curves of each HCIs was calculated by the Crewes Zoeppritz Explorer programme. AVA curves show that how the reflection coefficients change with the density and the P and S wave velocities of each layer such as oil, gas, gas hydrate or water saturated sediments. Due to AVA curves, an increase in reflection amplitude with incident angle of seismic waves corresponds to an indicator of a hydrocarbon reservoir

A Model of Emotion as Patterned Metacontrol

Adaptive agents use feedback as a key strategy to cope with un- certainty and change in their environments. The information fed back from the sensorimotor loop into the control subsystem can be used to change four different elements of the controller: parameters associated to the control model, the control model itself, the functional organization of the agent and the functional realization of the agent. There are many change alternatives and hence the complexity of the agent’s space of potential configurations is daunting. The only viable alternative for space- and time-constrained agents —in practical, economical, evolutionary terms— is to achieve a reduction of the dimensionality of this configuration space. Emotions play a critical role in this reduction. The reduction is achieved by func- tionalization, interface minimization and by patterning, i.e. by selection among a predefined set of organizational configurations. This analysis lets us state how autonomy emerges from the integration of cognitive, emotional and autonomic systems in strict functional terms: autonomy is achieved by the closure of functional dependency. Emotion-based morphofunctional systems are able to exhibit complex adaptation patterns at a reduced cognitive cost. In this article we show a general model of how emotion supports functional adaptation and how the emotional biological systems operate following this theoretical model. We will also show how this model is also of applicability to the construction of a wide spectrum of artificial systems1.

Micro-scale habitat associations of woody plants in a neotropical cloud forest

Species?habitat associations may contribute to the maintenance of species richness in tropical forests, but previous research has been conducted almost exclusively in lowland forests and has emphasized the importance of topography and edaphic conditions. Is the distribution of woody plant species in a Peruvian cloud forest determined by microhabitat conditions? What is the role of environmental characteristics and forest structure in habitat partitioning in a tropical cloud forest? We examined species?habitat associations in three 1-ha plots using the torus-translation method. We used three different criteria to define habitats for habitat partitioning analyses, based on microtopography, forest structure and both sets of factors. The number of species associated either positively or negatively with each habitat was assessed. Habitats defined on the basis of environmental conditions and forest structure discriminated a greater number of positive and negative associations at the scale of our analyses in a tropical cloud forest. Both topographic conditions and forest structure contribute to small-scale microhabitat partitioning of woody plant species in a Peruvian tropical cloud forest. Nevertheless, canopy species were most correlated with the distribution of environmental variables, while understorey species displayed associations with forest structure.

Electron cooling in probe collection from magnetized plasmas with anomalous transport

The electron-retarding range of the current-voltage characteristic of a flat Langmuir probe perpendicular to a strong magnetic field in a fully ionized plasma is analysed allowing for anomalous (Bohm) cross-field transport and temperature changes in the collection process. With probe size and ion thermal gyroradius comparable, and smaller than the electron mean free path, there is an outer quasineutral region with ion viscosity determinant in allowing nonambipolar parallel and cross flow. A potential overshoot lying either at the base or inside the quasineutral region both makes ions follow Boltzmann's law at negative bias and extends the electron-retarding range to probe bias e(j)p ~ +2Too. Electron heating and cooling occur roughly at positive and negative bias, with a re-minimum around efa ~ - 2 7 ^ ; far from the probe heat conduction cools and heats electrons at and radially away from the probe axis, respectively. The potential overshoot with no thermal effects would reduce the electron current Ie, making the In Ie versus 4>p graph downwards-concave,but cooling further reduces Ie substantially, and may tilt the slope upwards past the temperature minimum. The domain of strict validity of our analysis is narrow in case of low ion mass (deuterium), breaking down with the ion Boltzmann law.

Development of a versatile biotinylated material based on SU-8

The negative epoxy-based SU-8 photoresist has a wide variety of applications within the semiconductor industry, photonics and lab-on-a-chip devices, and it is emerging as an alternative to silicon-based devices for sensing purposes. In the present work, biotinylation of the SU-8 polymer surface promoted by light is reported. As a result, a novel, efective, and low-cost material, focusing on the immobilization of bioreceptors and consequent biosensing, is developed. This material allows the spatial discrimination depending on the irradiation of desired areas. The most salient feature is that the photobiotin may be directly incorporated into the SU-8 curing process, consequently reducing time and cost. The potential use of this substrate is demonstrated by the immunoanalytical detection of the synthetic steroid gestrinone, showing excellent performances. Moreover, the naked eye biodetection due to the transparent SU-8 substrate, and simple instrumental quantication are additional advantages.

Emotions in services: complaint in B2C e-commerce

This study proposes a service recovery (SR) model to describe how cumulative satisfaction, loyalty and word-of-mouth are affected by complaints. The model is based on the role of positive and negative emotions in satisfaction with service recovery (SSR) processes. While prior SSR studies usually investigated only negative emotions and satisfaction with a specific transaction, this research considered both positive and negative emotions.

Assessment methodology applied to demand measures to change urban mobility behavior

In order to minimize car-based trips, transport planners have been particularly interested in understanding the factors that explain modal choices. Transport modelling literature has been increasingly aware that socioeconomic attributes and quantitative variables are not sufficient to characterize travelers and forecast their travel behavior. Recent studies have also recognized that users’ social interactions and land use patterns influence travel behavior, especially when changes to transport systems are introduced; but links between international and Spanish perspectives are rarely dealt with. The overall objective of the thesis is to develop a stepped methodology that integrate diverse perspectives to evaluate the willingness to change patterns of urban mobility in Madrid, based on four steps: (1st) analysis of causal relationships between both objective and subjective personal variables, and travel behavior to capture pro-car and pro-public transport intentions; (2nd) exploring the potential influence of individual trip characteristics and social influence variables on transport mode choice; (3rd) identifying built environment dimensions on travel behavior; and (4th) exploring the potential influence on transport mode choice of extrinsic characteristics of individual trip using panel data, land use variables using spatial characteristics and social influence variables. The data used for this thesis have been collected from a two panel smartphone-based survey (n=255 and 190 respondents, respectively) carried out in Madrid. Although the steps above are mainly methodological, the application to the area of Madrid allows deriving important results that can be directly used to forecast travel demand and to evaluate the benefits of specific policies that might be implemented in the area. The results demonstrated, respectively: (1st) transport policy actions are more likely to be effective when pro-car intention has been disrupted first; (2nd) the consideration of “helped” and “voluntary” users as tested here could have a positive and negative impact, respectively, on the use of public transport; (3rd) the importance of density, design, diversity and accessibility underlying dimensions responsible for land use variables; and (4th) there are clearly different types of combinations of social interactions, land use and time frame on travel behavior studies. Finally, with the objective to study the impact of demand measures to change urban mobility behavior, those previous results have been considered in a unique way, a hybrid discrete choice model has been used on a 5th step. Then it can be concluded that urban mobility behavior is not only ruled by the maximum utility criterion, but also by a strong psychological-environment concept, developed without the mediation of cognitive processes during choice, i.e., many people using public transport on their way to work do not do it for utilitarian reasons, but because no other choice is available. Regarding built environment dimensions, the more diversity place of residence, the more difficult the use of public transport or walking.

Real-Time Adaptive Multi-Classifier Multi-Resolution Visual Tracking Framework for Unmanned Aerial Vehicles

This paper presents a novel robust visual tracking framework, based on discriminative method, for Unmanned Aerial Vehicles (UAVs) to track an arbitrary 2D/3D target at real-time frame rates, that is called the Adaptive Multi-Classifier Multi-Resolution (AMCMR) framework. In this framework, adaptive Multiple Classifiers (MC) are updated in the (k-1)th frame-based Multiple Resolutions (MR) structure with compressed positive and negative samples, and then applied them in the kth frame-based Multiple Resolutions (MR) structure to detect the current target. The sample importance has been integrated into this framework to improve the tracking stability and accuracy. The performance of this framework was evaluated with the Ground Truth (GT) in different types of public image databases and real flight-based aerial image datasets firstly, then the framework has been applied in the UAV to inspect the Offshore Floating Platform (OFP). The evaluation and application results show that this framework is more robust, efficient and accurate against the existing state-of-art trackers, overcoming the problems generated by the challenging situations such as obvious appearance change, variant illumination, partial/full target occlusion, blur motion, rapid pose variation and onboard mechanical vibration, among others. To our best knowledge, this is the first work to present this framework for solving the online learning and tracking freewill 2D/3D target problems, and applied it in the UAVs.

Engineering Computational Emotion - A Reference Model for Emotion in Artificial Systems

Emotion is generally argued to be an influence on the behavior of life systems, largely concerning flexibility and adaptivity. The way in which life systems acts in response to a particular situations of the environment, has revealed the decisive and crucial importance of this feature in the success of behaviors. And this source of inspiration has influenced the way of thinking artificial systems. During the last decades, artificial systems have undergone such an evolution that each day more are integrated in our daily life. They have become greater in complexity, and the subsequent effects are related to an increased demand of systems that ensure resilience, robustness, availability, security or safety among others. All of them questions that raise quite a fundamental challenges in control design. This thesis has been developed under the framework of the Autonomous System project, a.k.a the ASys-Project. Short-term objectives of immediate application are focused on to design improved systems, and the approaching of intelligence in control strategies. Besides this, long-term objectives underlying ASys-Project concentrate on high order capabilities such as cognition, awareness and autonomy. This thesis is placed within the general fields of Engineery and Emotion science, and provides a theoretical foundation for engineering and designing computational emotion for artificial systems. The starting question that has grounded this thesis aims the problem of emotion--based autonomy. And how to feedback systems with valuable meaning has conformed the general objective. Both the starting question and the general objective, have underlaid the study of emotion, the influence on systems behavior, the key foundations that justify this feature in life systems, how emotion is integrated within the normal operation, and how this entire problem of emotion can be explained in artificial systems. By assuming essential differences concerning structure, purpose and operation between life and artificial systems, the essential motivation has been the exploration of what emotion solves in nature to afterwards analyze analogies for man--made systems. This work provides a reference model in which a collection of entities, relationships, models, functions and informational artifacts, are all interacting to provide the system with non-explicit knowledge under the form of emotion-like relevances. This solution aims to provide a reference model under which to design solutions for emotional operation, but related to the real needs of artificial systems. The proposal consists of a multi-purpose architecture that implement two broad modules in order to attend: (a) the range of processes related to the environment affectation, and (b) the range or processes related to the emotion perception-like and the higher levels of reasoning. This has required an intense and critical analysis beyond the state of the art around the most relevant theories of emotion and technical systems, in order to obtain the required support for those foundations that sustain each model. The problem has been interpreted and is described on the basis of AGSys, an agent assumed with the minimum rationality as to provide the capability to perform emotional assessment. AGSys is a conceptualization of a Model-based Cognitive agent that embodies an inner agent ESys, the responsible of performing the emotional operation inside of AGSys. The solution consists of multiple computational modules working federated, and aimed at conforming a mutual feedback loop between AGSys and ESys. Throughout this solution, the environment and the effects that might influence over the system are described as different problems. While AGSys operates as a common system within the external environment, ESys is designed to operate within a conceptualized inner environment. And this inner environment is built on the basis of those relevances that might occur inside of AGSys in the interaction with the external environment. This allows for a high-quality separate reasoning concerning mission goals defined in AGSys, and emotional goals defined in ESys. This way, it is provided a possible path for high-level reasoning under the influence of goals congruence. High-level reasoning model uses knowledge about emotional goals stability, letting this way new directions in which mission goals might be assessed under the situational state of this stability. This high-level reasoning is grounded by the work of MEP, a model of emotion perception that is thought as an analogy of a well-known theory in emotion science. The work of this model is described under the operation of a recursive-like process labeled as R-Loop, together with a system of emotional goals that are assumed as individual agents. This way, AGSys integrates knowledge that concerns the relation between a perceived object, and the effect which this perception induces on the situational state of the emotional goals. This knowledge enables a high-order system of information that provides the sustain for a high-level reasoning. The extent to which this reasoning might be approached is just delineated and assumed as future work. This thesis has been studied beyond a long range of fields of knowledge. This knowledge can be structured into two main objectives: (a) the fields of psychology, cognitive science, neurology and biological sciences in order to obtain understanding concerning the problem of the emotional phenomena, and (b) a large amount of computer science branches such as Autonomic Computing (AC), Self-adaptive software, Self-X systems, Model Integrated Computing (MIC) or the paradigm of models@runtime among others, in order to obtain knowledge about tools for designing each part of the solution. The final approach has been mainly performed on the basis of the entire acquired knowledge, and described under the fields of Artificial Intelligence, Model-Based Systems (MBS), and additional mathematical formalizations to provide punctual understanding in those cases that it has been required. This approach describes a reference model to feedback systems with valuable meaning, allowing for reasoning with regard to (a) the relationship between the environment and the relevance of the effects on the system, and (b) dynamical evaluations concerning the inner situational state of the system as a result of those effects. And this reasoning provides a framework of distinguishable states of AGSys derived from its own circumstances, that can be assumed as artificial emotion.

Metodología para la caracterización de zonas costeras basada en un modelo sistémico

Las obras de infraestructura que construye el ser humano para optimizar los recursos naturales y satisfacer sus necesidades, producen impactos tanto positivos como negativos en el ambiente. México cuenta con una gran cantidad de recursos naturales y lugares que han sido favorecidos por la naturaleza, donde la sobrecarga de las actividades antropogénicas genera problemas de impacto ambiental, especialmente en las zonas costeras y en su entorno. El objetivo del presente trabajo fue aportar información acerca de las principales presiones que recibe el sistema y cómo esto afecta a las propuestas de soluciones integrales y a la capacidad para recuperar el estado de equilibrio en las zonas costeras. En la presente investigación, se desarrolló una metodología para la caracterización de zonas costeras, basada en un modelo sistémico, con el propósito de tener una herramienta de planificación para proyectos ambientalmente sustentables, integrando una base de datos con las mejores prácticas de planificación, lo que facilitará el diagnóstico y la evaluación de la capacidad adaptativa de recuperación del sistema. Asimismo, se utilizó un modelo sistémico como una metodología para organizar la gran complejidad que implica la interrelación e interconexión que existe entre los múltiples componentes, y con ello obtener el conocimiento para su caracterización. Con base en el modelo de Zachman, se realizó un análisis para la detección de las fortalezas y debilidades del sistema, lo que permitió visualizar el impacto de los riesgos a que está expuesta una zona costera. Las principales aportaciones de este trabajo fueron el desarrollo de la FICHA DE CARACTERIZACIÓN DE LA ZONA COSTERA y la inclusión, en dicha ficha, de la estimación del nivel de la resiliencia física, ambiental, social, económica y política. La metodología propuesta, es una aportación que permite integrar los componentes, las relaciones e interconexiones que existen en el sistema costero. La metodología tiene la ventaja de ser flexible y se pueden agregar o desechar componentes de acuerdo a las particularidades de cada caso de estudio; adicionalmente, se propone utilizar esta herramienta como ayuda en el monitoreo periódico del sistema. Lo anterior como parte de un observatorio integrado al Sistema Nacional de Gestión Costera que se propone como parte de futuras líneas de investigación. Como caso de estudio, se realizó la caracterización del complejo sistema Banco Chinchorro, lo que resultó en la inclusión (en la FICHA DE CARACTERIZACIÓN DE LA ZONA COSTERA), de las lecciones aprendidas con la detección de buenas y malas prácticas, esto redundó en la mejora de la metodología propuesta para la gestión de la zona costera. All infrastructures that build the human being to optimize natural resources and meet their needs, generate both, positive and negative impacts on the environment, since the acquisition and transformation of resources in coastal areas affect their balance. Mexico has a large number of natural resources and places that have been favored by nature, whereas the overhead of anthropogenic activities leads to problems of environmental impact, especially in coastal areas and in its surroundings. The aim of this study was to provide information about the main pressures that a system receives and how this affects the proposed solutions and the ability to restore the state of balance in coastal areas. In this research, a methodology for the characterization of coastal zones, based on a systemic model, in order to develop a planning tool for environmentally sustainable projects, was developed, integrating a database with the best practices for planning, conservation and balance of coastal areas. This will facilitate the diagnosis and evaluation of the adaptive resilience of the system. A systemic model was used as a methodology to organize the vast complexity of the relationship and interconnection between the multiple components, and so thus gain knowledge for its characterization. Based on the Zachman model, an analysis to detect the strengths and weaknesses of the system was performed, allowing visualizing the impact of the risks that the coastal zone is exposed to. The main contributions of this study was the development of the COASTAL CHARACTERIZATION RECORD, and the inclusion, on that record, of the estimation of the physical, environmental, social, economic and political resilience. The proposed methodology is a contribution that allows integrating the components, relationships and interconnections existing in the coastal system. The methodology has the advantage of being flexible and components can be added or discarded according to the particularities of each case study; Additionally, this is not only a diagnostic tool, it is proposed to use it as an aid in monitoring periodically the system, this as part of an integrated monitoring into the National System of Coastal Management that is proposed as part of future research. As a case study, the characterization of the coastal zone “Banco Chinchorro” was done, resulting in the inclusion, in the COASTAL CHARACTERIZATION RECORD, of the documented lessons learned from the good and bad practices detection, improvement of the methodology proposed for the management of the coastal zone.

Del rural agrario al rural periurbano: instrumentos de desarrollo rural en la comarca de Torrijos (Toledo)

En los últimos años, una de las líneas de investigación que ha suscitado interés en las ciencias sociales es el estudio de la transformación de los territorios. La presente Tesis Doctoral se enmarca dentro de este campo de investigación, utilizando en el análisis los Programas de Desarrollo Rural fruto de la política europea y su aplicación sobre un territorio específico como es la comarca de Torrijos en la provincia de Toledo (España). El objeto de estudio es el proceso de transformación que ha tenido lugar en su ruralidad desde los años noventa del pasado siglo hasta ahora, de manera a aportar elementos al proceso de periurbanización que ha acontecido. Se toma como punto de partida el estudio de la caracterización del medio rural, y de la periurbanización, se repasa la evolución histórica de la política comunitaria de desarrollo rural en un marco teórico, para a continuación centrarnos en el análisis del PDR de Castilla la Mancha 2007-2013 y analizar por un lado, las medidas que se están aplicando en la comarca objeto de estudio, así como el papel específico del Grupo de Desarrollo Rural Castillos de Medio Tajo más focalizado en lo local, por otro. Para el desarrollo de esta tesis, la metodología de investigación empleada ha sido mixta, además del análisis estadístico documental en una primera etapa junto con el estudio minucioso de las medidas del PDR 2007-2013, se ha realizado una investigación empírica basada en entrevistas a diferentes agentes conocedores de la realidad de la comarca, ampliando la recogida de datos primarios con la observación participante, por la vinculación directa con este territorio. El análisis de todo el material recogido nos ha permitido contrastar una serie de hipótesis planteadas y obtener resultados para comprender el proceso de transformación. Así, si bien la proximidad al gran núcleo urbano de Madrid ha conseguido una mejora en la calidad de vida de sus habitantes, la aplicación de las políticas de desarrollo rural no ha conseguido diversificar la economía de esta comarca, por un lado los PDR son demasiado genéricos para responder a especificidades y realidades locales tan diferentes en la Comunidad de Castilla la Mancha, por otro son Programas atemporales que si bien obedecen a una programación dentro de un período, los efectos en la economía adquieren visibilidad (positiva o negativa) en una etapa posterior. En cuando a la acción de los GDR como herramientas de participación local, se observa que su actividad está relacionada con las prioridades de las corporaciones locales, manteniendo la mirada más sobre el rural agrario que fue que en el rural periurbano que acontece. ABSTRACT In the last years one of the lines of research that has caused interest in the social sciences is the study of the transformation of the territories. The present Doctoral Thesis stands within this field of investigation, using in its analysis the Programs of Rural Development product of the European Politics and their application on a specific territory such as the region of Torrijos in the province of Toledo (Spain).The object of the study is the process of transformation that its rural area has undergone since the 1990s until now, so that it adds elements to the development that has taken place there. The study of the characteristics and development of the rural area is taken as a starting point and the historical evolution of the community politics of rural development in a theoretical framework revised, to focus later on the analyses of the PDR of Castilla la Mancha.2007-2013 and to analyze on the one hand the measures that are being applied in the region object of study and on the other hand the specific paper of the Group of Rural Development “Castillos de Medio Tajo”, more focused on the local aspects. For the development of this thesis, the methodology of investigation that has been used has considered two aspects, besides the statistical documentary analyses in a first stage together with the meticulous study of the measures of the PDR 2007- 2013, an empirical investigation based on interviews to different agents who know the reality of the region has been done extending the collection of primary information to the observation of those who participate directly in this investigation. The analysis of all the material has allowed us to confirm a series of raised hypotheses and to obtain results to understand the process of transformation. Thus, although the proximity to the great urban core of Madrid has given an improvement in the quality of life of its habitants, the application of the policies of rural development has not managed to diversify the economy of this area. On the one hand, the PDR is too generic to answer to specifities and local realities so different in the community of Castilla la Mancha, on the other hand they are atemporal programmes that although they obey a programming within a period, their effects in the economy acquire visibility (positive or negative) in a later stage .As for the action of the GDR as tools of local participation, it is observed that their activity is related to the priorities of the local corporations, focusing more on the agrarian rural aspect than on the peri-urban rural it is now.