876 resultados para Quality-improvement Collaboration


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The purpose of the study was to describe regionalized systems of perinatal care serving predominantly low income Mexican-American women in rural underserved areas of Texas. The study focused upon ambulatory care; however, it provided a vehicle for examination of the health care system. The questions posed at the onset of the study included: (1) How well do regional organizations with various patterns of staffing and funding levels perform basic functions essential to ambulatory perinatal care? (2) Is there a relationship between the type of organization, its performance, and pregnancy outcome? (3) Are there specific recommendations which might improve an organization's future performance?^ A number of factors--including maldistribution of resources and providers, economic barriers, inadequate means of transportation, and physician resistance to transfer of patients between levels of care--have impeded the development of regionalized systems of perinatal health care, particularly in rural areas. However, studies have consistently emphasized the role of prenatal care in the early detection of risk and treatment of complications of pregnancy and childbirth, with subsequent improvement in pregnancy outcomes.^ This study has examined the "system" of perinatal care in rural areas, utilizing three basic regional models--preventive care, limited primary care, and fully primary care. Information documented in patient clinical records was utilized to compare the quality of ambulatory care provided in the three regional models.^ The study population included 390 women who received prenatal care in one of the seven study clinics. They were predominantly hispanic, married, of low income, with a high proportion of teenagers and women over 35. Twenty-eight percent of the women qualified as migrants.^ The major findings of the study are listed below: (1) Almost half of the women initiated care in the first trimester. (2) Three-fourths of the women had or exceeded the recommended number of prenatal visits. (3) There was a low rate of clinical problem recognition. Additional follow-up is needed to determine the reasons. (4) Cases with a tracer condition had significantly more visits with monitoring of the clinical condition. (5) Almost 90% of all referrals were completed. (6) Only 60% of mothers had postpartum follow-up, while almost 90% of their newborns received care. (7) The incidence of infants weighing 2500 grams or less was 4.2%. ^

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Purpose. The measurement of quality of life has become an important topic in healthcare and in the allocation of limited healthcare resources. Improving the quality of life (QOL) in cancer patients is paramount. Cataract removal and lens implantation appears to improve patient well-being of cancer patients, though a formal measurement has never been published in the US literature. In this current study, National Eye Institute Visual Functioning Questionnaire (NEI-VFQ-25), a validated vision quality of life metric, was used to study the change in vision-related quality of life in cancer patients who underwent cataract extraction with intraocular lens implantation. ^ Methods. Under an IRB approved protocol, cancer patients who underwent cataract surgery with intraocular lens implantation (by a single surgeon) from December 2008 to March 2011, and who had completed a pre- and postoperative NEI-VFQ-25 were retrospectively reviewed. Post-operative data was collected at their routine 4-6 week post-op visit. Patients' demographics, cancer history, their pre and postoperative ocular examinations, visual acuities, and NEI-VFQ-25 with twelve components were included in the evaluation. The responses were evaluated using the Student t test, Spearman correlation and Wilcoxon signed rank test. ^ Results. 63 cases of cataract surgery (from 54 patients) from the MD Anderson Cancer Center were included in the study. Cancer patients had a significant improvement in the visual acuity (P<0.0001) postoperatively, along with a significant increase in vision-related quality of life (P<0.0001). Patients also had a statistically significant improvement in ten of the twelve subcategories which are addressed in the NEI-VFQ-25. ^ Conclusions. In our study, cataract extraction and intraocular implantation showed a significant impact on the vision-related quality of life in cancer patients. Although this study includes a small sample size, it serves as a positive pilot study to evaluate and quantify the impact of a surgical intervention on QOL in cancer patients and may help to design a larger study to measure vision related QOL per dollar spent for health care cost in cancer patients.^

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The Data Quality Campaign (DQC) has been focused since 2005 on advocating for states to build robust state longitudinal data systems (SLDS). While states have made great progress in their data infrastructure, and should continue to emphasize this work, t data systems alone will not improve outcomes. It is time for both DQC and states to focus on building capacity to use the information that these systems are producing at every level – from classrooms to state houses. To impact system performance and student achievement, the ingrained culture must be replaced with one that focuses on data use for continuous improvement. The effective use of data to inform decisions, provide transparency, improve the measurement of outcomes, and fuel continuous improvement will not come to fruition unless there is a system wide focus on building capacity around the collection, analysis, dissemination, and use of this data, including through research.

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In the last decades, a striking amount of hydrographic data, covering the most part of Mediterranean basin, have been generated by the efforts made to characterize the oceanography and ecology of the basin. On the other side, the improvement in technologies, and the consequent perfecting of sampling and analytical techniques, provided data even more reliable than in the past. Nutrient data enter fully in this context, but suffer of the fact of having been produced by a large number of uncoordinated research programs and of being often deficient in quality control, with data bases lacking of intercalibration. In this study we present a computational procedure based on robust statistical parameters and on the physical dynamic properties of the Mediterranean sea and its morphological characteristics, to partially overcome the above limits in the existing data sets. Through a data pre filtering based on the outlier analysis, and thanks to the subsequent shape analysis, the procedure identifies the inconsistent data and for each basin area identifies a characteristic set of shapes (vertical profiles). Rejecting all the profiles that do not follow any of the spotted shapes, the procedure identifies all the reliable profiles and allows us to obtain a data set that can be considered more internally consistent than the existing ones.

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TSEP-RLI was a technical cooperation project jointly conducted by GOP thru DA-Agricultural Training Institute (ATI) and GOJ thru JICA aimed at institutionalizing the training program for Rural Life Improvement (RLI) at the (ATI). As expected, farmers, fisherfolk, women, youth and extension agents were provided with efficient and effective training services from ATI leading to the improvement of quality of life in the rural areas through efforts of human resource development. The ATI- Bohol was chosen as the model center where participatory trials and various activities of the project were undertaken for five years. These activities were participatory surveys and data collection of on-farm and off-farm productive activities; planning workshop for RLI; feedbacking of survey results and action plans to the community and the Local Government Units (LGUs), and signing of Memorandum of Agreement between the Project and participating LGUs. The above activities were done to facilitate the planning and development of most effective and necessary rural life improvement activities, to confirm the willingness of the people to support and participate and to formalize the partnership between the Project and the LGUs. Since the concept of rural life covers a vast range of activities, a consensus had been reached that the total aspects of rural life be grasped in three spheres, namely, Production & Livelihood (P/L), Rural Living Condition (RLC) and Community Environment (C/E). The RLI for Ubi (Yam) Growers was one of the pilot activities undertaken in two pilot barangays and the target beneficiaries were members of the Rural Improvement Club (RIC- a group of organized women) with the LGU of the Municipality of Corella as the implementing partner. During the planning workshop, the barangay residents articulated their desire to promote production and processing of ubi (sphere on P/L - as the entry point), lack of nutritious food was one of the identified problem (sphere on RLC- expansion point) and environmental degradation such as deforestation, and soil erosion was another problem articulated by the community people (sphere on C/E- expansion point). Major activities that were undertaken namely, Ubi cooking contest, cooking/processing seminar, training courses on entrepreneurial development, ubi production and storage technology, packaging and product design, human resource development and simplified bookkeeping motivated the beneficiaries as well as developed and enhanced their skills & capabilities while strengthening their associations. Their participation to the 5 ubi festivals and other related activities had brought some impacts on their economic and rural life improvement activities. The seven principles of TSEP-RLI include the participatory process, holistic approach, dialogical approach, bottom -up training needs assessment, demand-driven approach, cost sharing approach and collaborative implementation with other agencies including LGUs and the community.

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There are many industries that use highly technological solutions to improve quality in all of their products. The steel industry is one example. Several automatic surface-inspection systems are used in the steel industry to identify various types of defects and to help operators decide whether to accept, reroute, or downgrade the material, subject to the assessment process. This paper focuses on promoting a strategy that considers all defects in an integrated fashion. It does this by managing the uncertainty about the exact position of a defect due to different process conditions by means of Gaussian additive influence functions. The relevance of the approach is in making possible consistency and reliability between surface inspection systems. The results obtained are an increase in confidence in the automatic inspection system and an ability to introduce improved prediction and advanced routing models. The prediction is provided to technical operators to help them in their decision-making process. It shows the increase in improvement gained by reducing the 40 % of coils that are downgraded at the hot strip mill because of specific defects. In addition, this technology facilitates an increase of 50 % in the accuracy of the estimate of defect survival after the cleaning facility in comparison to the former approach. The proposed technology is implemented by means of software-based, multi-agent solutions. It makes possible the independent treatment of information, presentation, quality analysis, and other relevant functions.

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El sector porcino ibérico es un sector típicamente español. La imagen que asocia el consumidor a los productos ibéricos es la correspondiente a los productos elaborados a partir de cerdos ibéricos en explotaciones extensivas, (dehesas), y cebados en montanera. Sin embargo, según los datos publicados por el Ministerio de Agricultura, Alimentación y Medio Ambiente, más de un 70 por ciento de los cerdos ibéricos que se producen en España son criados en granjas intensivas. El sector porcino ibérico está en pleno proceso de cambio, tanto por las variaciones que se derivan de la crisis que sufre el sector, como por las modificaciones que se esperan en la norma de calidad, recientemente acordadas. En este entorno en el que existe una reducción importante de los márgenes comerciales en todos los eslabones de la cadena de valor del jamón ibérico de bellota, adquiere importancia el estudio de su estructura y funcionamiento, la determinación de los aspectos que mejoran la eficiencia económica a lo largo de la misma y su concordancia a lo largo de ella. Así mismo, un sector de los consumidores comienza a buscar productos de calidad, se interesa por productos con determinados etiquetados que garantizan la calidad o unas determinadas prácticas de producción y elaboración, como sucede con los productos ecológicos. Existen numerosos estudios sobre distintos aspectos del sector porcino ibérico, realizados por distintas instituciones, como universidades, instituciones privadas y proyectos europeos. En general, se centran en la mejora de la producción de los cerdos ibéricos o en la mejora de la elaboración de los jamones. La novedad de la investigación realizada en la presente Tesis Doctoral reside en el estudio de los aspectos que determinan la mayor eficiencia económica de la cadena de valor del jamón ibérico de bellota de la denominación de origen de Guijuelo, y en las características que aporta al jamón ibérico de bellota la producción ecológica frente a la convencional. Resumen Los objetivos planteados en esta investigación son la mejora de la cadena de valor del jamón ibérico de bellota de la denominación de origen de Guijuelo, mediante el estudio de la problemática estructural y de funcionamiento de la misma. Como objetivos específicos se proponen la mejora de la eficiencia económica en las relaciones comerciales entre los distintos eslabones de la cadena de valor, y el impulso de la oferta de los productos ecológicos de ibérico, mediante el estudio comparativo de las producciones convencionales y ecológicas. Para alcanzar estos objetivos la metodología utilizada es la cadena de valor agroalimentaria, utilizando como herramientas de análisis el método Delphi y la realización de un análisis DAFO del sector porcino ibérico. Las fuentes de información primarias utilizadas proceden por una parte de la colaboración realizada en el proyecto europeo Q-Porkchains, coordinado por el Dr. Jacques H. Trienekens, y por otra parte de los cuestionarios especialmente diseñados para el análisis Delphi realizado. Las fuentes de información secundarias proceden de artículos académicos publicados, de artículos de revistas especializadas en el sector y de informes y estadísticas publicados por el Ministerio de Agricultura, Alimentación y Medio Ambiente. Las conclusiones de la investigación son las siguientes. Las relaciones comerciales de la cadena de valor estudiada están gestionadas, ya que se otorga gran valor a las relaciones comerciales basadas en la confianza, tanto en el aprovisionamiento de productos como en la venta de los mismos en cada eslabón. Sin embargo, no se gestiona adecuadamente la gama de productos que se oferta a lo largo de la cadena de valor, puesto que los eslabones de la misma obtienen diferente eficiencia económica para el mismo producto. Por otra parte, aunque la denominación de origen de Guijuelo es una marca conocida por el consumidor, el esfuerzo por tener una marca colectiva de calidad no ha sido totalmente satisfactorio, en especial para el eslabón de la distribución. Por esta razón, es importante resaltar que es recomendable la creación de una marca propia que cuide la calidad con especial atención, modificando incluso las empresas integrantes de la cadena de valor si el objetivo de calidad no coincide. Es importante garantizar la calidad del producto al consumidor, mediante la trasmisión la información generada por los informes de inspección y certificación realizados por las entidades correspondientes en relación a la norma de calidad de los productos de cerdo ibérico y por el Consejo Regulador de Guijuelo. Se requiere un estudio detallado de los posibles nichos de mercado para llegar a los clientes que buscan un producto de calidad diferenciada como es el jamón ibérico de denominación de origen de Guijuelo. Dentro de los posibles clientes debe tenerse en consideración al colectivo de personas alérgicas, ya que no se encuentran con facilidad en el mercado productos cárnicos de cerdo libres de alérgenos. Por último, la innovación es muy importante en este sector, y pueden ofertarse nuevos productos que ayuden al acortamiento de la cadena de valor, como podría ser la carne fresca de cerdo ibérico de bellota. La producción ecológica de porcino ibérico, en la actualidad no es significativa. El manejo que se realiza de los cerdos ibéricos convencionales de bellota es muy similar al manejo que se realiza de los cerdos ecológicos, salvo en la alimentación que reciben los cerdos ibéricos antes del cebo en montanera y en los medicamentos permitidos en ambas producciones. La producción de porcino ecológico de bellota puede ser interesante para la exportación. Los jamones ibéricos de bellota dispondrían de un sello que garantiza un manejo tradicional –como se realiza en muchas explotaciones extensivas de cerdos ibéricos de bellota-, y que es apreciado por los consumidores de otros países, dispuestos a pagar por productos de calidad diferenciada. Este tipo de producción quizá podría solventar la limitación al ámbito nacional de la norma de calidad de los productos de cerdo ibérico. La falta de claridad y unanimidad en el sector sobre la calidad de los productos de ibéricos que se percibe en los cambios previstos en la legislación, y el interés del eslabón de la industria elaboradora de jamones en calidades no ligadas a producciones extensivas sino intensivas, por su mayor volumen de ventas y sus mejores rendimientos, mueven a los productores de “ibérico puro de bellota” a desmarcarse del sector “ibérico”, donde el peso del producto ibérico cruzado de pienso tiene mucho peso en las decisiones que se toman. The Iberian pork industry is a typically Spanish industry. The associated image by the consumer to these products corresponds to products made from Iberian pigs in extensive farms (meadows), and fattened in open range. However, according to data released by the Ministry of Agriculture, Food and Environment, more than 70 percent of the Iberian pigs produced in Spain are raised on factory farms. The Iberian pork industry is in process of change, both by modifications resulting from the crisis in the sector, and the expected ones in the quality standard, recently agreed. In this environment where there is a significant reduction in trade margins in all links of the value chain of Iberian ham, becomes important to study its structure and operation, identifying the aspects that improve economic efficiency along the value chain and their concordance along it. Likewise, part of the consumers begins searching for quality products, they are interested in certain products that guarantee some sort of quality or production and processing practices, like organic products. There are several studies on various aspects of the Iberian pork industry, made by different institutions, such as universities, private institutions and some European projects. In general, their goal is focused on improving the Iberian hog production or on improving the elaboration of hams. The novelty of the research conducted in this PhD thesis lies in the study of the aspects that determine the economic efficiency of the value chain of Iberian ham from Guijuelo designation of origin, and the comparison between the features that organic or conventional production of Iberian ham brings to it. The objectives propound in this research are the improvement of the value chain of Iberian ham from Guijuelo designation of origin, through the study of its structural and operational problematic. The proposed specific objectives are the improvement of the economic efficiency Resumen in trade relations between the different links in the value chain, and the promotion of the supply of Iberian organic pork products, through the comparative study of conventional and organic productions. In order to achieve these objectives, the used methodology is the agrifood value chain, using as analysis tools the Delphi method, and a SWOT analysis of the Iberian pork industry. The primary sources of information come partly from the collaboration in the European project Q-Porkchains, coordinated by Dr. Jacques Trienekens, and partly from the questionnaires specially designed for the Delphi analysis performed. The secondary sources come from published academic papers, specialized journal articles and reports published by the Ministry of Agriculture, Food and Environment. The research conclusions are as follows. Trade relations in the studied value chain are managed, as it is granted a great value to business relationships based on trust, both in the supply of products and in the sale in each link. However, the portfolio that is offered throughout the value chain is not properly managed, since the economic efficiency obtained for the same product is different in each link. Moreover, although the designation of origin of Guijuelo is a well-known brand, the effort made to acquire a collective quality trademark has not been entirely satisfactory, especially in the distribution link. Due to it, it is important to highlight that it is recommended to create a brand focused on quality, and indeed to change the firms integrating the vale chain, if the goal is not shared by all the companies. It is essential to ensure the quality of the product to the consumer, through the transmission of the available information related to the quality standard of Iberian pork products and of the Guijuelo Regulating Council. A detailed study of potential niche markets is required, in order to reach customers looking for a differentiated quality product as Iberian ham of Guijuelo designation of origin. It should be taken into consideration the group of allergy sufferers as potential customers, as they do not easily find pork products in the market free of allergens. Innovation is very important in this industry, and new products could be commercialized that help to shorten the value chain, as fresh acorn Iberian pork. Nowadays, the organic production of Iberian pork products is not significant. The operation is very similar in both conventional and organic production of Iberian pork products, except in the food received by Iberian hogs and the sort of medicinal treatments allowed in each production. The organic acorn Iberian pork production could be interesting for export. Acorn Iberian hams would have a well-known hallmark, which guarantees a traditional production, -as it is done in many extensive holdings of Iberian acorn-pigs-, and that is appreciated by consumers in other countries This niche of consumers could pay for differentiated quality products. Perhaps, this sort of production could solve the limitation to national scope of the quality standard of Iberian pork products. The lack of clarity and unanimity in the industry on the quality of Iberian pork products has been perceived in the agreed changes of the legislation as well as the interest of the processing industry in hams of quality categories which are not linked to extensive but intensive productions, due to their higher sales volume and better yields. This situation pushed "acorn pure Iberian " pigs farmers to split from the Iberian industry, where the importance of cross Iberian pig from intensive farms is growing so high that they can influence the negotiations and decisions taken inside and outside the industry.

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Digital services and communications in vehicular scenarios provide the essential assets to improve road transport in several ways like reducing accidents, improving traffic efficiency and optimizing the transport of goods and people. Vehicular communications typically rely on VANET (Vehicular Ad hoc Networks). In these networks vehicles communicate with each other without the need of infrastructure. VANET are mainly oriented to disseminate information to the vehicles in certain geographic area for time critical services like safety warnings but present very challenging requirements that have not been successfully fulfilled nowadays. Some of these challenges are; channel saturation due to simultaneous radio access of many vehicles, routing protocols in topologies that vary rapidly, minimum quality of service assurance and security mechanisms to efficiently detect and neutralize malicious attacks. Vehicular services can be classified in four important groups: Safety, Efficiency, Sustainability and Infotainment. The benefits of these services for the transport sector are clear but many technological and business challenges need to be faced before a real mass market deployment. Service delivery platforms are not prepared for fulfilling the needs of this complex environment with restrictive requirements due to the criticism of some services To overcome this situation, we propose a solution called VISIONS “Vehicular communication Improvement: Solution based on IMS Operational Nodes and Services”. VISIONS leverages on IMS subsystem and NGN enablers, and follows the CALM reference Architecture standardized by ISO. It also avoids the use of Road Side Units (RSUs), reducing complexity and high costs in terms of deployment and maintenance. We demonstrate the benefits in the following areas: 1. VANET networks efficiency. VISIONS provide a mechanism for the vehicles to access valuable information from IMS and its capabilities through a cellular channel. This efficiency improvement will occur in two relevant areas: a. Routing mechanisms. These protocols are responsible of carrying information from a vehicle to another (or a group of vehicles) using multihop mechanisms. We do not propose a new algorithm but the use of VANET topology information provided through our solution to enrich the performance of these protocols. b. Security. Many aspects of security (privacy, key, authentication, access control, revocation mechanisms, etc) are not resolved in vehicular communications. Our solution efficiently disseminates revocation information to neutralize malicious nodes in the VANET. 2. Service delivery platform. It is based on extended enablers, reference architectures, standard protocols and open APIs. By following this approach, we reduce costs and resources for service development, deployment and maintenance. To quantify these benefits in VANET networks, we provide an analytical model of the system and simulate our solution in realistic scenarios. The simulations results demonstrate how VISIONS improves the performance of relevant routing protocols and is more efficient neutralizing security attacks than the widely proposed solutions based on RSUs. Finally, we design an innovative Social Network service based in our platform, explaining how VISIONS facilitate the deployment and usage of complex capabilities. RESUMEN Los servicios digitales y comunicaciones en entornos vehiculares proporcionan herramientas esenciales para mejorar el transporte por carretera; reduciendo el número de accidentes, mejorando la eficiencia del tráfico y optimizando el transporte de mercancías y personas. Las comunicaciones vehiculares generalmente están basadas en redes VANET (Vehicular Ad hoc Networks). En dichas redes, los vehículos se comunican entre sí sin necesidad de infraestructura. Las redes VANET están principalmente orientadas a difundir información (por ejemplo advertencias de seguridad) a los vehículos en determinadas zonas geográficas, pero presentan unos requisitos muy exigentes que no se han resuelto con éxito hasta la fecha. Algunos de estos retos son; saturación del canal de acceso de radio debido al acceso simultáneo de múltiples vehículos, la eficiencia de protocolos de encaminamiento en topologías que varían rápidamente, la calidad de servicio (QoS) y los mecanismos de seguridad para detectar y neutralizar los ataques maliciosos de manera eficiente. Los servicios vehiculares pueden clasificarse en cuatro grupos: Seguridad, Eficiencia del tráfico, Sostenibilidad, e Infotainment (información y entretenimiento). Los beneficios de estos servicios para el sector son claros, pero es necesario resolver muchos desafíos tecnológicos y de negocio antes de una implementación real. Las actuales plataformas de despliegue de servicios no están preparadas para satisfacer las necesidades de este complejo entorno con requisitos muy restrictivos debido a la criticidad de algunas aplicaciones. Con el objetivo de mejorar esta situación, proponemos una solución llamada VISIONS “Vehicular communication Improvement: Solution based on IMS Operational Nodes and Services”. VISIONS se basa en el subsistema IMS, las capacidades NGN y es compatible con la arquitectura de referencia CALM estandarizado por ISO para sistemas de transporte. También evita el uso de elementos en las carreteras, conocidos como Road Side Units (RSU), reduciendo la complejidad y los altos costes de despliegue y mantenimiento. A lo largo de la tesis, demostramos los beneficios en las siguientes áreas: 1. Eficiencia en redes VANET. VISIONS proporciona un mecanismo para que los vehículos accedan a información valiosa proporcionada por IMS y sus capacidades a través de un canal de celular. Dicho mecanismo contribuye a la mejora de dos áreas importantes: a. Mecanismos de encaminamiento. Estos protocolos son responsables de llevar información de un vehículo a otro (o a un grupo de vehículos) utilizando múltiples saltos. No proponemos un nuevo algoritmo de encaminamiento, sino el uso de información topológica de la red VANET a través de nuestra solución para enriquecer el funcionamiento de los protocolos más relevantes. b. Seguridad. Muchos aspectos de la seguridad (privacidad, gestión de claves, autenticación, control de acceso, mecanismos de revocación, etc) no están resueltos en las comunicaciones vehiculares. Nuestra solución difunde de manera eficiente la información de revocación para neutralizar los nodos maliciosos en la red. 2. Plataforma de despliegue de servicios. Está basada en capacidades NGN, arquitecturas de referencia, protocolos estándar y APIs abiertos. Siguiendo este enfoque, reducimos costes y optimizamos procesos para el desarrollo, despliegue y mantenimiento de servicios vehiculares. Para cuantificar estos beneficios en las redes VANET, ofrecemos un modelo de analítico del sistema y simulamos nuestra solución en escenarios realistas. Los resultados de las simulaciones muestran cómo VISIONS mejora el rendimiento de los protocolos de encaminamiento relevantes y neutraliza los ataques a la seguridad de forma más eficientes que las soluciones basadas en RSU. Por último, diseñamos un innovador servicio de red social basado en nuestra plataforma, explicando cómo VISIONS facilita el despliegue y el uso de las capacidades NGN.

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Green façades constitute constructive technologies with a positive influence on sustainability in cities and several urban climate parameters such as thermal comfort, air quality and water management. According to the current research, the implementation of urban greenery contributes to increase the cooling effect and mitigate the urban heat island (UHI) phenomenon. This paper focuses on the role of vegetation in improving the urban environment of Madrid (Spain). The simulation results show that green walls could be more effective in urban morphologies with narrow streets. During overheated periods, the streets with green walls have a higher relative humidity in the surrounding areas than those with trees. The air temperature is found to be a little lower. The reduction of wind speed means a positive effect on urban hygrothermal comfort. Therefore, green walls could be taken into account as suitable tools to modify the outdoor thermal environment in cities with an extreme Continental Mediterranean climate.

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Damages -reduced in fruit packing lines is a major cause of grace reduction and quality loos in fresh marks: fruit. Fruit must be treated gently during in sir handling to improve their qualityin order to get a good price in a competitive market. The correct post-hardvest handling in fruit packing lines is a prerequisite to cut down the heavy post-harvest losses. Fruit packing lines must be evaluated, studying their design, the impacts applied to the fruits, the characteristics of the materials, etc. This study establishes the possibility of carrying out modifications and tests in a packing line during a long period of time. For this purpose, an experimental fruit packing line has been designed and located in the Agricultural Engineering Department of the Polythecnic University of Madrid with the aim of improving mechanical devices and fruit handling conditions to minimize damage to fruit. The experimental line consists of several transporting belts, one rollers transporter, one sizer, one elevator, one singularizer, and three trays to receive the calibrated fruit. The line has a length of 6.15 m and a width cf 1.9 m. Movement of the different components is regulated by electric motors with variable velocity electronically controlled. The height of the transfer points is variable and can be easily modified. The experimental line has been calibrated using two instrumented spheres IS 100 (8.8 cm Ø and6.2cm Ø). Average acceleration values obtained in all the transfers of the experimental line lay under 80 g's, although there is big variation for some of them being some values above 100 g's.

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The objective of this study was to propose a multi-criteria optimization and decision-making technique to solve food engineering problems. This technique was demostrated using experimental data obtained on osmotic dehydratation of carrot cubes in a sodium chloride solution. The Aggregating Functions Approach, the Adaptive Random Search Algorithm, and the Penalty Functions Approach were used in this study to compute the initial set of non-dominated or Pareto-optimal solutions. Multiple non-linear regression analysis was performed on a set of experimental data in order to obtain particular multi-objective functions (responses), namely water loss, solute gain, rehydration ratio, three different colour criteria of rehydrated product, and sensory evaluation (organoleptic quality). Two multi-criteria decision-making approaches, the Analytic Hierarchy Process (AHP) and the Tabular Method (TM), were used simultaneously to choose the best alternative among the set of non-dominated solutions. The multi-criteria optimization and decision-making technique proposed in this study can facilitate the assessment of criteria weights, giving rise to a fairer, more consistent, and adequate final compromised solution or food process. This technique can be useful to food scientists in research and education, as well as to engineers involved in the improvement of a variety of food engineering processes.

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A protocol of selection, training and validation of the members of the panel for bread sensory analysis is proposed to assess the influence of wheat cultivar on the sensory quality of bread. Three cultivars of bread wheat and two cultivars of spelt wheat organically-grown under the same edaphoclimatic conditions were milled and baked using the same milling and baking procedure. Through the use of triangle tests, differences were identified between the five breads. Significant differences were found between the spelt breads and those made with bread wheat for the attributes ?crumb cell homogeneity? and ?crumb elasticity?. Significant differences were also found for the odor and flavor attributes, with the bread made with ?Espelta Navarra? being the most complex, from a sensory point of view. Based on the results of this study, we propose that sensory properties should be considered as breeding criteria for future work on genetic improvement.

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Las redes de sensores inalámbricas son uno de los sectores con más crecimiento dentro de las redes inalámbricas. La rápida adopción de estas redes como solución para muchas nuevas aplicaciones ha llevado a un creciente tráfico en el espectro radioeléctrico. Debido a que las redes inalámbricas de sensores operan en las bandas libres Industrial, Scientific and Medical (ISM) se ha producido una saturación del espectro que en pocos años no permitirá un buen funcionamiento. Con el objetivo de solucionar este tipo de problemas ha aparecido el paradigma de Radio Cognitiva (CR). La introducción de las capacidades cognitivas en las redes inalámbricas de sensores permite utilizar estas redes para aplicaciones con unos requisitos más estrictos respecto a fiabilidad, cobertura o calidad de servicio. Estas redes que aúnan todas estas características son llamadas redes de sensores inalámbricas cognitivas (CWSNs). La mejora en prestaciones de las CWSNs permite su utilización en aplicaciones críticas donde antes no podían ser utilizadas como monitorización de estructuras, de servicios médicos, en entornos militares o de vigilancia. Sin embargo, estas aplicaciones también requieren de otras características que la radio cognitiva no nos ofrece directamente como, por ejemplo, la seguridad. La seguridad en CWSNs es un aspecto poco desarrollado al ser una característica no esencial para su funcionamiento, como pueden serlo el sensado del espectro o la colaboración. Sin embargo, su estudio y mejora es esencial de cara al crecimiento de las CWSNs. Por tanto, esta tesis tiene como objetivo implementar contramedidas usando las nuevas capacidades cognitivas, especialmente en la capa física, teniendo en cuenta las limitaciones con las que cuentan las WSNs. En el ciclo de trabajo de esta tesis se han desarrollado dos estrategias de seguridad contra ataques de especial importancia en redes cognitivas: el ataque de simulación de usuario primario (PUE) y el ataque contra la privacidad eavesdropping. Para mitigar el ataque PUE se ha desarrollado una contramedida basada en la detección de anomalías. Se han implementado dos algoritmos diferentes para detectar este ataque: el algoritmo de Cumulative Sum y el algoritmo de Data Clustering. Una vez comprobado su validez se han comparado entre sí y se han investigado los efectos que pueden afectar al funcionamiento de los mismos. Para combatir el ataque de eavesdropping se ha desarrollado una contramedida basada en la inyección de ruido artificial de manera que el atacante no distinga las señales con información del ruido sin verse afectada la comunicación que nos interesa. También se ha estudiado el impacto que tiene esta contramedida en los recursos de la red. Como resultado paralelo se ha desarrollado un marco de pruebas para CWSNs que consta de un simulador y de una red de nodos cognitivos reales. Estas herramientas han sido esenciales para la implementación y extracción de resultados de la tesis. ABSTRACT Wireless Sensor Networks (WSNs) are one of the fastest growing sectors in wireless networks. The fast introduction of these networks as a solution in many new applications has increased the traffic in the radio spectrum. Due to the operation of WSNs in the free industrial, scientific, and medical (ISM) bands, saturation has ocurred in these frequencies that will make the same operation methods impossible in the future. Cognitive radio (CR) has appeared as a solution for this problem. The networks that join all the mentioned features together are called cognitive wireless sensor networks (CWSNs). The adoption of cognitive features in WSNs allows the use of these networks in applications with higher reliability, coverage, or quality of service requirements. The improvement of the performance of CWSNs allows their use in critical applications where they could not be used before such as structural monitoring, medical care, military scenarios, or security monitoring systems. Nevertheless, these applications also need other features that cognitive radio does not add directly, such as security. The security in CWSNs has not yet been explored fully because it is not necessary field for the main performance of these networks. Instead, other fields like spectrum sensing or collaboration have been explored deeply. However, the study of security in CWSNs is essential for their growth. Therefore, the main objective of this thesis is to study the impact of some cognitive radio attacks in CWSNs and to implement countermeasures using new cognitive capabilities, especially in the physical layer and considering the limitations of WSNs. Inside the work cycle of this thesis, security strategies against two important kinds of attacks in cognitive networks have been developed. These attacks are the primary user emulator (PUE) attack and the eavesdropping attack. A countermeasure against the PUE attack based on anomaly detection has been developed. Two different algorithms have been implemented: the cumulative sum algorithm and the data clustering algorithm. After the verification of these solutions, they have been compared and the side effects that can disturb their performance have been analyzed. The developed approach against the eavesdropping attack is based on the generation of artificial noise to conceal information messages. The impact of this countermeasure on network resources has also been studied. As a parallel result, a new framework for CWSNs has been developed. This includes a simulator and a real network with cognitive nodes. This framework has been crucial for the implementation and extraction of the results presented in this thesis.

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Video Quality Assessment needs to correspond to human perception. Pixel-based metrics (PSNR or MSE) fail in many circumstances for not taking into account the spatio-temporal property of human's visual perception. In this paper we propose a new pixel-weighted method to improve video quality metrics for artifacts evaluation. The method applies a psychovisual model based on motion, level of detail, pixel location and the appearance of human faces, which approximate the quality to the human eye's response. Subjective tests were developed to adjust the psychovisual model for demonstrating the noticeable improvement of an algorithm when weighting the pixels according to the factors analyzed instead of treating them equally. The analysis developed demonstrates the necessity of models adapted to the specific visualization of contents and the model presents an advance in quality to be applied over sequences when a determined artifact is analyzed.

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El consumo energético de las Redes de Sensores Inalámbricas (WSNs por sus siglas en inglés) es un problema histórico que ha sido abordado desde diferentes niveles y visiones, ya que no solo afecta a la propia supervivencia de la red sino que el creciente uso de dispositivos inteligentes y el nuevo paradigma del Internet de las Cosas hace que las WSNs tengan cada vez una mayor influencia en la huella energética. Debido a la tendencia al alza en el uso de estas redes se añade un nuevo problema, la saturación espectral. Las WSNs operan habitualmente en bandas sin licencia como son las bandas Industrial, Científica y Médica (ISM por sus siglas en inglés). Estas bandas se comparten con otro tipo de redes como Wi-Fi o Bluetooth cuyo uso ha crecido exponencialmente en los últimos años. Para abordar este problema aparece el paradigma de la Radio Cognitiva (CR), una tecnología que permite el acceso oportunista al espectro. La introducción de capacidades cognitivas en las WSNs no solo permite optimizar su eficiencia espectral sino que también tiene un impacto positivo en parámetros como la calidad de servicio, la seguridad o el consumo energético. Sin embargo, por otra parte, este nuevo paradigma plantea algunos retos relacionados con el consumo energético. Concretamente, el sensado del espectro, la colaboración entre los nodos (que requiere comunicación adicional) y el cambio en los parámetros de transmisión aumentan el consumo respecto a las WSN clásicas. Teniendo en cuenta que la investigación en el campo del consumo energético ha sido ampliamente abordada puesto que se trata de una de sus principales limitaciones, asumimos que las nuevas estrategias deben surgir de las nuevas capacidades añadidas por las redes cognitivas. Por otro lado, a la hora de diseñar estrategias de optimización para CWSN hay que tener muy presentes las limitaciones de recursos de estas redes en cuanto a memoria, computación y consumo energético de los nodos. En esta tesis doctoral proponemos dos estrategias de reducción de consumo energético en CWSNs basadas en tres pilares fundamentales. El primero son las capacidades cognitivas añadidas a las WSNs que proporcionan la posibilidad de adaptar los parámetros de transmisión en función del espectro disponible. La segunda es la colaboración, como característica intrínseca de las CWSNs. Finalmente, el tercer pilar de este trabajo es teoría de juegos como algoritmo de soporte a la decisión, ampliamente utilizado en WSNs debido a su simplicidad. Como primer aporte de la tesis se presenta un análisis completo de las posibilidades introducidas por la radio cognitiva en materia de reducción de consumo para WSNs. Gracias a las conclusiones extraídas de este análisis, se han planteado las hipótesis de esta tesis relacionadas con la validez de usar capacidades cognitivas como herramienta para la reducción de consumo en CWSNs. Una vez presentada las hipótesis, pasamos a desarrollar las principales contribuciones de la tesis: las dos estrategias diseñadas para reducción de consumo basadas en teoría de juegos y CR. La primera de ellas hace uso de un juego no cooperativo que se juega mediante pares de jugadores. En la segunda estrategia, aunque el juego continúa siendo no cooperativo, se añade el concepto de colaboración. Para cada una de las estrategias se presenta el modelo del juego, el análisis formal de equilibrios y óptimos y la descripción de la estrategia completa donde se incluye la interacción entre nodos. Con el propósito de probar las estrategias mediante simulación e implementación en dispositivos reales hemos desarrollado un marco de pruebas compuesto por un simulador cognitivo y un banco de pruebas formado por nodos cognitivos capaces de comunicarse en tres bandas ISM desarrollados en el B105 Lab. Este marco de pruebas constituye otra de las aportaciones de la tesis que permitirá el avance en la investigación en el área de las CWSNs. Finalmente, se presentan y discuten los resultados derivados de la prueba de las estrategias desarrolladas. La primera estrategia proporciona ahorros de energía mayores al 65% comparados con una WSN sin capacidades cognitivas y alrededor del 25% si la comparamos con una estrategia cognitiva basada en el sensado periódico del espectro para el cambio de canal de acuerdo a un nivel de ruido fijado. Este algoritmo se comporta de forma similar independientemente del nivel de ruido siempre que éste sea espacialmente uniformemente. Esta estrategia, a pesar de su sencillez, nos asegura el comportamiento óptimo en cuanto a consumo energético debido a la utilización de teoría de juegos en la fase de diseño del comportamiento de los nodos. La estrategia colaborativa presenta mejoras respecto a la anterior en términos de protección frente al ruido en escenarios de ruido más complejos donde aporta una mejora del 50% comparada con la estrategia anterior. ABSTRACT Energy consumption in Wireless Sensor Networks (WSNs) is a known historical problem that has been addressed from different areas and on many levels. But this problem should not only be approached from the point of view of their own efficiency for survival. A major portion of communication traffic has migrated to mobile networks and systems. The increased use of smart devices and the introduction of the Internet of Things (IoT) give WSNs a great influence on the carbon footprint. Thus, optimizing the energy consumption of wireless networks could reduce their environmental impact considerably. In recent years, another problem has been added to the equation: spectrum saturation. Wireless Sensor Networks usually operate in unlicensed spectrum bands such as Industrial, Scientific, and Medical (ISM) bands shared with other networks (mainly Wi-Fi and Bluetooth). To address the efficient spectrum utilization problem, Cognitive Radio (CR) has emerged as the key technology that enables opportunistic access to the spectrum. Therefore, the introduction of cognitive capabilities to WSNs allows optimizing their spectral occupation. Cognitive Wireless Sensor Networks (CWSNs) do not only increase the reliability of communications, but they also have a positive impact on parameters such as the Quality of Service (QoS), network security, or energy consumption. These new opportunities introduced by CWSNs unveil a wide field in the energy consumption research area. However, this also implies some challenges. Specifically, the spectrum sensing stage, collaboration among devices (which requires extra communication), and changes in the transmission parameters increase the total energy consumption of the network. When designing CWSN optimization strategies, the fact that WSN nodes are very limited in terms of memory, computational power, or energy consumption has to be considered. Thus, light strategies that require a low computing capacity must be found. Since the field of energy conservation in WSNs has been widely explored, we assume that new strategies could emerge from the new opportunities presented by cognitive networks. In this PhD Thesis, we present two strategies for energy consumption reduction in CWSNs supported by three main pillars. The first pillar is that cognitive capabilities added to the WSN provide the ability to change the transmission parameters according to the spectrum. The second pillar is that the ability to collaborate is a basic characteristic of CWSNs. Finally, the third pillar for this work is the game theory as a decision-making algorithm, which has been widely used in WSNs due to its lightness and simplicity that make it valid to operate in CWSNs. For the development of these strategies, a complete analysis of the possibilities is first carried out by incorporating the cognitive abilities into the network. Once this analysis has been performed, we expose the hypotheses of this thesis related to the use of cognitive capabilities as a useful tool to reduce energy consumption in CWSNs. Once the analyses are exposed, we present the main contribution of this thesis: the two designed strategies for energy consumption reduction based on game theory and cognitive capabilities. The first one is based on a non-cooperative game played between two players in a simple and selfish way. In the second strategy, the concept of collaboration is introduced. Despite the fact that the game used is also a non-cooperative game, the decisions are taken through collaboration. For each strategy, we present the modeled game, the formal analysis of equilibrium and optimum, and the complete strategy describing the interaction between nodes. In order to test the strategies through simulation and implementation in real devices, we have developed a CWSN framework composed by a CWSN simulator based on Castalia and a testbed based on CWSN nodes able to communicate in three different ISM bands. We present and discuss the results derived by the energy optimization strategies. The first strategy brings energy improvement rates of over 65% compared to WSN without cognitive techniques. It also brings energy improvement rates of over 25% compared with sensing strategies for changing channels based on a decision threshold. We have also seen that the algorithm behaves similarly even with significant variations in the level of noise while working in a uniform noise scenario. The collaborative strategy presents improvements respecting the previous strategy in terms of noise protection when the noise scheme is more complex where this strategy shows improvement rates of over 50%.