873 resultados para One Over Many Argument


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Learning Disability (LD) is a neurological condition that affects a child’s brain and impairs his ability to carry out one or many specific tasks. LD affects about 15 % of children enrolled in schools. The prediction of LD is a vital and intricate job. The aim of this paper is to design an effective and powerful tool, using the two intelligent methods viz., Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System, for measuring the percentage of LD that affected in school-age children. In this study, we are proposing some soft computing methods in data preprocessing for improving the accuracy of the tool as well as the classifier. The data preprocessing is performed through Principal Component Analysis for attribute reduction and closest fit algorithm is used for imputing missing values. The main idea in developing the LD prediction tool is not only to predict the LD present in children but also to measure its percentage along with its class like low or minor or major. The system is implemented in Mathworks Software MatLab 7.10. The results obtained from this study have illustrated that the designed prediction system or tool is capable of measuring the LD effectively

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Las relaciones de cooperación Sur-Sur revoluciona las lógicas tradicionales que dieron base al régimen de la cooperación internacional expedido desde la OCDE. La diferencia entre los donantes llamados “DAC” y los socios “No-DAC” en referencia a los Estados miembros del Comité de Asistencia al Desarrollo establece dos lógicas de cooperación internacional que se contraponen en sus dinámicas pero comparten un objetivo: el desarrollo. Estos dos tipos de relaciones de cooperación se diferencian en cuatro aspectos: calidad de los actores implicados, dirección de la relación, tipo de intercambio y presencia o ausencia del Principio de Condicionalidad. A diferencia de las relaciones de cooperación Norte-Sur donde se establece una relación unidireccional entre el donante y el receptor, canal utilizado para el flujo crediticio y financiero (bien sea a través de créditos o de subvenciones), las relaciones de cooperación Sur-Sur establecen una relación bidireccional. Esta bidireccionalidad hace que la cooperación internacional se convierta en una herramienta de poder relativo para aquellos actores que carecían de peso en el sistema internacional. La carta fundamental de los Estados con economías emergentes será darle voz a aquellos que no la han tenido. A través de relaciones que se catalogan como asociaciones estratégicas, entre sujetos con un similar nivel de desarrollo, el Principio de Condicionalidad como rector de la relación de cooperación, desaparece. Asi, la formación del Grupo de Tareas para la Cooperación Sur-Sur adscrito al DAC es una muestra del cambio estructural del régimen de la cooperación internacional, y más aún, de las dinámicas tradicionales del sistema internacional.

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Speaker: Lynda Hardman Organiser: Time: 04/02/2015 12:30-13:30 Location: B32/3077 Abstract The challenges of addressing gender inequalities in science, technology, engineering, mathematics and medicine is widely acknowledged. We currently hold a bronze award and ECS is one of many academic units in the University which has gained Athena Swan Charter status. In this seminar, Professor Lynda Hardman, Chair of the Informatics Europe working group "Women in Informatics Research and Education” will be explaining the causes of issued underlying gender inequality and constructive routes to addressing this important agenda. In undertaking to commit to an action plan which is a prerequisite of gaining charter status, the University or academic department agreed to accept and incorporate the Athena Swan six principles listed below: * To address gender inequalities requires commitment and action from everyone, at all levels of the organisation * To tackle the unequal representation of women in science requires changing cultures and attitudes across the organisation * The absence of diversity at management and policy-making levels has broad implications which the organisation will examine * The high loss rate of women in science is an urgent concern which the organisation will address * The system of short-term contracts has particularly negative consequences for the retention and progression of women in science, which the organisation recognises * There are both personal and structural obstacles to women making the transition from PhD into a sustainable academic career in science, which require the active consideration of the organisation. This seminar is designed to provide an opportunity to explore these issues NOTE: Lynda will be basing here talk on some of the work she directed as chair of the "Women in Informatics Research and Education” working group. The purpose of the working group is to actively participate and promote actions that contribute to improve gender balance in Information and Communication Sciences and Technologies. The first concrete result of the working group's activities was the publication of the booklet "More Women in Informatics Research and Education" in 2013. The booklet is a compact source of clear and simple best practices to deans and heads of departments that aim to increase the participation of women as both students and employees in their institutions. Many tips included were also inspired by colleagues already in leading positions who have already implemented actions in their institutions to attract more women and ensure their continued participation in the organization at commensurate ratios with their male colleagues. The booklet is endorsed by the European Commission and features a foreword by Neelie Kroes, Vice-President of the European Commission, responsible for the Digital Agenda.

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Esta investigación se dirige a determinar cuál es la utilidad de los conceptos y estrategias comunitarias en el marketing online para la prevención de la copia ilegal en el mercado musical. Con este proyecto se desea que por medio de una nueva disquera enfocada en el comercio online, y usando los conceptos del mercadeo comunitario y el mercadeo relacional, se pueda desarrollar nuevas estrategias de mercadeo en donde se logre incentivar y promover la compra de música original por medio de la creación de una relación más estrecha entre la compañía y el cliente, en la cual pueda afectar de forma positiva a la comunidad a la que este pertenece. El objetivo general es determinar cuál es la utilidad de los conceptos y estrategias comunitarias en el marketing online para la prevención de la copia ilegal en el mercado musical. Los objetivos específicos son: 1. Mostrar la utilidad de los conceptos y estrategias del marketing comunitario en la prevención de la copia ilegal del mercado musical y 2. Implementar las estrategias logradas en la investigación en un plan de creación de empresa. Se utilizará el método de investigación y análisis de caso, utilizando el plan de empresa en la creación de una empresa del mercado musical, tomando la relación estratégica comunitaria y el marketing dentro del plan de mercadeo como estrategia para la prevención de la copia ilegal. Mediante este proyecto se desea que por medio del marketing relacional y de los conceptos del mercadeo hacia comunidades, enfocado en une- marketing sepuedanestablecerestrategiasparalaprevencióndelacopiailegalydelacomprade estos productos Además, se busca implementar dichos resultados en la empresa que se pretende crear en el sector de la industria musical, puesto que la seguridad que tendrán los productos a la venta, serán la ventaja competitiva de la empresa.

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Los tratamientos para aumentar los niveles de cúmulo de diferenciación 4 – CD4 en personas que padecen la enfermedad ocasionada por el Virus de la Inmunodeficiencia Humana (VIH), son importantes tanto para el mejoramiento del bienestar de los pacientes, como para el buen funcionamiento de las instituciones de salud. La presente investigación compara la intervención farmacológica de dos líneas de tratamiento, Lamivudina, Zidovudina, Efavirenz contra Efavirenz, Emtricitabina, Disoproxilo de Tenofovir que se encuentran en la recomendación de esquema de primera línea según la Guía Práctica Clínica (2014). Se evaluó el efecto costo-efectivo de estos dos tratamientos basado en el aumento de los niveles de CD4 a lo largo de tres tiempos diferentes (inicial, 6 y 12 meses) y los costos de los medicamentos de acuerdo a los precios en Colombia según el SISMED en el año 2014. Se realizó un análisis de varianza factorial con medidas repetidas, un árbol de decisiones y un análisis de costo-efectividad incremental (ACEI). Se obtuvo información de 546 pacientes, tanto hombres como mujeres, de la Institución Asistencia Científica de Alta Complejidad S.A.S de la ciudad de Bogotá. Se encontró que el esquema 1 (Lamivudina, Zidovudina, Efavirenz) fue considerado más efectivo y menos costoso que el tratamiento 2 (Efavirenz, Emtricitabina, Disoproxilo de Tenofovir), sin embargo no se evidenció una alta frecuencia de efectos adversos que pueda contribuir a la escogencia de un tratamiento u otro. De acuerdo a estos resultados la institución o los médicos tratantes tienen una alternativa farmacoeconómica para la toma de decisión del tratamiento a utilizar y así iniciar la terapia antirretroviral de pacientes que conviven con VHI con carga viral indetectable.

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Los tratamientos para aumentar los niveles de cúmulo de diferenciación 4 – CD4 en personas que padecen la enfermedad ocasionada por el Virus de la Inmunodeficiencia Humana (VIH), son importantes tanto para el mejoramiento del bienestar de los pacientes, como para el buen funcionamiento de las instituciones de salud. La presente investigación compara la intervención farmacológica de dos líneas de tratamiento, Lamivudina, Zidovudina, Efavirenz contra Efavirenz, Emtricitabina, Disoproxilo de Tenofovir que se encuentran en la recomendación de esquema de primera línea según la Guía Práctica Clínica (2014). Se evaluó el efecto costo-efectivo de estos dos tratamientos basado en el aumento de los niveles de CD4 a lo largo de tres tiempos diferentes (inicial, 6 y 12 meses) y los costos de los medicamentos de acuerdo a los precios en Colombia según el SISMED en el año 2014. Se realizó un análisis de varianza factorial con medidas repetidas, un árbol de decisiones y un análisis de costo-efectividad incremental (ACEI). Se obtuvo información de 546 pacientes, tanto hombres como mujeres, de la Institución Asistencia Científica de Alta Complejidad S.A.S de la ciudad de Bogotá. Se encontró que el esquema 1 (Lamivudina, Zidovudina, Efavirenz) fue considerado más efectivo y menos costoso que el tratamiento 2 (Efavirenz, Emtricitabina, Disoproxilo de Tenofovir), sin embargo no se evidenció una alta frecuencia de efectos adversos que pueda contribuir a la escogencia de un tratamiento u otro. De acuerdo a estos resultados la institución o los médicos tratantes tienen una alternativa farmacoeconómica para la toma de decisión del tratamiento a utilizar y así iniciar la terapia antirretroviral de pacientes que conviven con VHI con carga viral indetectable.

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Entre muchas de las preocupaciones en el ámbito internacional está la desnutrición y la desigualdad social, por eso, esta investigación propone la logística humanitaria como herramienta para hacer más eficientes las Agrocadenas de suministro llegando de esta forma a las poblaciones más vulnerables. Gracias a esto, nace este proyecto a nivel internacional Con alianzas de Universidades en Colombia y Argentina. Para esta investigación es necesario responder preguntas como: ¿Qué es la Logística humanitaria? ¿Cuál es el alcance de la logística humanitaria? ¿Qué es una Agrocadenas? ¿Cómo se pueden optimizar las Agrocadenas a partir de la logística humanitaria? ¿Qué impacto tendría en Latinoamérica la mejora en los procesos de las Agrocadenas? Por Ultimo es importante resaltar, que en este proyecto se hará la caracterización de las Agrocadenas de tres productos importantes para la economía de los países anteriormente mencionados: maíz, arroz y trigo; se visualizaran sus puntos fuertes y débiles y así, lograr tener un mejor enfoque en cuanto los puntos más importantes a optimizar en toda la cadena.

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Aquesta tesi està inspirada en els agents naturals per tal de planificar de manera dinàmica la navegació d'un robot diferencial de dues rodes. Les dades dels sistemes de percepció són integrades dins una graella d'ocupació de l'entorn local del robot. La planificació de les trajectòries es fa considerant la configuració desitjada del robot, així com els vértexs més significatius dels obstacles més propers. En el seguiment de les trajectòries s'utilitzen tècniques locals de control predictiu basades en el model, amb horitzons de predicció inferiors a un segon. La metodologia emprada és validada mitjançant nombrosos experiments.

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Feeding wild birds creates an important link between homeowners and conservation. The effects of bird feeders and year-round feeding on birds have not been well studied, however, particularly in relationship to bird-window collisions. We determined effects of bird feeder presence and placement on bird-window collisions at residential homes. Paired month-long trials in which a feeder was either present or absent for one month and then removed or added for the second month were completed at 55 windows at 43 houses. In each trial, homeowners were asked to search their study window daily for evidence of a bird-window collision. During the study there were 51 collisions when there was no bird feeder and 94 when the feeder was present. The season when each trial was set up was the best individual predictor of bird-window collisions. The largest number of collisions was observed during fall migration and the lowest during the winter months. There were no collisions at 26 of the study windows. High variance was observed in the number of collisions at different houses, indicating that effects of bird feeders are context dependent. Changing the occurrence, timing, and placement of feeders can alter collision rates but is only one of many factors that influence whether a residential house is likely to have a bird window-collision or not.

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We suggest that climate variability in Europe for the “pre-industrial” period 1500–1900 is fundamentally a consequence of internal fluctuations of the climate system. This is because a model simulation, using fixed pre-industrial forcing, in several important aspects is consistent with recent observational reconstructions at high temporal resolution. This includes extreme warm and cold seasonal events as well as different measures of the decadal to multi-decadal variance. Significant trends of 50-year duration can be seen in the model simulation. While the global temperature is highly correlated with ENSO (El Nino- Southern Oscillation), European seasonal temperature is only weakly correlated with the global temperature broadly consistent with data from ERA-40 reanalyses. Seasonal temperature anomalies of the European land area are largely controlled by the position of the North Atlantic storm tracks. We believe the result is highly relevant for the interpretation of past observational records suggesting that the effect of external forcing appears to be of secondary importance. That variations in the solar irradiation could have been a credible cause of climate variations during the last centuries, as suggested in some previous studies, is presumably due to the fact that the models used in these studies may have underestimated the internal variability of the climate. The general interpretation from this study is that the past climate is just one of many possible realizations and thus in many respects not reproducible in its time evolution with a general circulation model but only reproducible in a statistical sense.

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Clustering is defined as the grouping of similar items in a set, and is an important process within the field of data mining. As the amount of data for various applications continues to increase, in terms of its size and dimensionality, it is necessary to have efficient clustering methods. A popular clustering algorithm is K-Means, which adopts a greedy approach to produce a set of K-clusters with associated centres of mass, and uses a squared error distortion measure to determine convergence. Methods for improving the efficiency of K-Means have been largely explored in two main directions. The amount of computation can be significantly reduced by adopting a more efficient data structure, notably a multi-dimensional binary search tree (KD-Tree) to store either centroids or data points. A second direction is parallel processing, where data and computation loads are distributed over many processing nodes. However, little work has been done to provide a parallel formulation of the efficient sequential techniques based on KD-Trees. Such approaches are expected to have an irregular distribution of computation load and can suffer from load imbalance. This issue has so far limited the adoption of these efficient K-Means techniques in parallel computational environments. In this work, we provide a parallel formulation for the KD-Tree based K-Means algorithm and address its load balancing issues.

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The problems of inverting experimental information obtained from vibration-rotation spectroscopy to determine the potential energy surface of a molecule are discussed, both in relation to semi-rigid molecules like HCN, NO2, H2CO, etc., and in relation to non-rigid or floppy molecules with large amplitude vibrations like HCNO, C3O2, and small ring molecules. Although standard methods exist for making the necessary calculations in the former case, they are complex, and they require an abundance of precise data on the spectrum that is rarely available. In the case of floppy molecules there are often data available over many excited states of the large amplitude vibration, but there are difficulties in knowing the precise form of the large amplitude coordinate(s), and in allowing for the vibrational averaging effects of the other modes. In both cases difficulties arise from the curvilinear nature of the vibrational paths which are not adequately handled by our present theories.

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Background: sip feeds are oral nutritional supplements (ONSs) that are commonly prescribed to malnourished patients to improve their nutritional and clinical status. However, ONSs are poorly consumed and frequently wasted, with sweetness being identified as one of the factors leading to patients’ dislike of ONSs. Objectives: to investigate if age affects sweetness thresholds and if this impacts upon perceived sweetness intensity, hedonic (sweetness and overall) and ranked preference of ONS products. Design: prospective, observational. Subjects: thirty-six young adults (18–33 years) and 48 healthy older adults (63–85 years). Setting: Department of Food and Nutritional Sciences and the Clinical Health Sciences at the University of Reading. Methods: detection and recognition threshold levels, basic taste identification and ‘just about right’ level of sweetness were examined. Three ONSs (chocolate, vanilla, strawberry) and sucrose solutions were evaluated for hedonic sweetness, overall hedonic liking, sweetness intensity and rank preference. Results: significant differences were found in both sweetness detection and recognition thresholds (P = 0.0001) between young and older adults, with older adults more likely to incorrectly identify the taste (P = 0.0001). Despite the deterioration in sweetness sensitivity among the older adults, there were no significant differences found in sweetness intensity perceived for the ONS products presented (P > 0.05) when compared with the young adults. However, across both groups sweetness intensity was found to be correlated with overall product dislike across all flavour variants tested (R = 0.398, P = 0.0001). Conclusions: sweetness appears to be one of many factors contributing to the dislike of ONSs. Manufacturers are encouraged to reconsider the formulations of these products so that beneficial effects of ONSs can be delivered in a more palatable and acceptable form and wastage reduced.

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Ancient DNA (aDNA) research has long depended on the power of PCR to amplify trace amounts of surviving genetic material from preserved specimens. While PCR permits specific loci to be targeted and amplified, in many ways it can be intrinsically unsuited to damaged and degraded aDNA templates. PCR amplification of aDNA can produce highly-skewed distributions with significant contributions from miscoding lesion damage and non-authentic sequence artefacts. As traditional PCR-based approaches have been unable to fully resolve the molecular nature of aDNA damage over many years, we have developed a novel single primer extension (SPEX)-based approach to generate more accurate sequence information. SPEX targets selected template strands at defined loci and can generate a quantifiable redundancy of coverage; providing new insights into the molecular nature of aDNA damage and fragmentation. SPEX sequence data reveals inherent limitations in both traditional and metagenomic PCR-based approaches to aDNA, which can make current damage analyses and correct genotyping of ancient specimens problematic. In contrast to previous aDNA studies, SPEX provides strong quantitative evidence that C U-type base modifications are the sole cause of authentic endogenous damage-derived miscoding lesions. This new approach could allow ancient specimens to be genotyped with unprecedented accuracy.

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Researchers at the University of Reading have developed over many years some simple mobile robots that explore an environment they perceive through simple ultrasonic sensors. Information from these sensors has allowed the robots to learn the simple task of moving around while avoiding dynamic obstacles using a static set of fuzzy automata, the choice of which has been criticised, due to its arbitrary nature. This paper considers how a dynamic set of automata can overcome this criticism. In addition, a new reinforcement learning function is outlined which is both scalable to different numbers and types of sensors. The innovations compare successfully with earlier work.