989 resultados para web clustering
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BACKGROUND: Patients with rare diseases such as congenital hypogonadotropic hypogonadism (CHH) are dispersed, often challenged to find specialized care and face other health disparities. The internet has the potential to reach a wide audience of rare disease patients and can help connect patients and specialists. Therefore, this study aimed to: (i) determine if web-based platforms could be effectively used to conduct an online needs assessment of dispersed CHH patients; (ii) identify the unmet health and informational needs of CHH patients and (iii) assess patient acceptability regarding patient-centered, web-based interventions to bridge shortfalls in care. METHODS: A sequential mixed-methods design was used: first, an online survey was conducted to evaluate health promoting behavior and identify unmet health and informational needs of CHH men. Subsequently, patient focus groups were held to explore specific patient-identified targets for care and to examine the acceptability of possible online interventions. Descriptive statistics and thematic qualitative analyses were used. RESULTS: 105 male participants completed the online survey (mean age 37 ± 11, range 19-66 years) representing a spectrum of patients across a broad socioeconomic range and all but one subject had adequate healthcare literacy. The survey revealed periods of non-adherence to treatment (34/93, 37%) and gaps in healthcare (36/87, 41%) exceeding one year. Patient focus groups identified lasting psychological effects related to feelings of isolation, shame and body-image concerns. Survey respondents were active internet users, nearly all had sought CHH information online (101/105, 96%), and they rated the internet, healthcare providers, and online community as equally important CHH information sources. Focus group participants were overwhelmingly positive regarding online interventions/support with links to reach expert healthcare providers and for peer-to-peer support. CONCLUSION: The web-based needs assessment was an effective way to reach dispersed CHH patients. These individuals often have long gaps in care and struggle with the psychosocial sequelae of CHH. They are highly motivated internet users seeking information and tapping into online communities and are receptive to novel web-based interventions addressing their unmet needs.
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This project analyzes the characteristics and spatial distributions of motor vehicle crash types in order to evaluate the degree and scale of their spatial clustering. Crashes occur as the result of a variety of vehicle, roadway, and human factors and thus vary in their clustering behavior. Clustering can occur at a variety of scales, from the intersection level, to the corridor level, to the area level. Conversely, other crash types are less linked to geographic factors and are more spatially “random.” The degree and scale of clustering have implications for the use of strategies to promote transportation safety. In this project, Iowa's crash database, geographic information systems, and recent advances in spatial statistics methodologies and software tools were used to analyze the degree and spatial scale of clustering for several crash types within the counties of the Iowa Northland Regional Council of Governments. A statistical measure called the K function was used to analyze the clustering behavior of crashes. Several methodological issues, related to the application of this spatial statistical technique in the context of motor vehicle crashes on a road network, were identified and addressed. These methods facilitated the identification of crash clusters at appropriate scales of analysis for each crash type. This clustering information is useful for improving transportation safety through focused countermeasures directly linked to crash causes and the spatial extent of identified problem locations, as well as through the identification of less location-based crash types better suited to non-spatial countermeasures. The results of the K function analysis point to the usefulness of the procedure in identifying the degree and scale at which crashes cluster, or do not cluster, relative to each other. Moreover, for many individual crash types, different patterns and processes and potentially different countermeasures appeared at different scales of analysis. This finding highlights the importance of scale considerations in problem identification and countermeasure formulation.
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We uncover the global organization of clustering in real complex networks. To this end, we ask whether triangles in real networks organize as in maximally random graphs with given degree and clustering distributions, or as in maximally ordered graph models where triangles are forced into modules. The answer comes by way of exploring m-core landscapes, where the m-core is defined, akin to the k-core, as the maximal subgraph with edges participating in at least m triangles. This property defines a set of nested subgraphs that, contrarily to k-cores, is able to distinguish between hierarchical and modular architectures. We find that the clustering organization in real networks is neither completely random nor ordered although, surprisingly, it is more random than modular. This supports the idea that the structure of real networks may in fact be the outcome of self-organized processes based on local optimization rules, in contrast to global optimization principles.
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General clustering deals with weighted objects and fuzzy memberships. We investigate the group- or object-aggregation-invariance properties possessed by the relevant functionals (effective number of groups or objects, centroids, dispersion, mutual object-group information, etc.). The classical squared Euclidean case can be generalized to non-Euclidean distances, as well as to non-linear transformations of the memberships, yielding the c-means clustering algorithm as well as two presumably new procedures, the convex and pairwise convex clustering. Cluster stability and aggregation-invariance of the optimal memberships associated to the various clustering schemes are examined as well.
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Esta propuesta de investigación tiene como objetivo conocer y analizar las plataformas digitales que los candidatos a la presidencia de España y México, a propósito de las elecciones generales del 2011 y 2012, ofrecen a la ciudadanía para interactuar y fomentar la participación ciudadana.El estudio parte del supuesto teórico de que el uso de Internet y las tecnologías de la información y la comunicación (TIC), ha modificado la comunicación electoral y la forma en la que los actores políticos se relacionan con la población y con sus potenciales electores.En procesos electorales, y en específico durante las campañas electorales, se puede observar cada vez más que los aspirantes a puestos públicos incorporan herramientas tecnológicas para interactuar, dialogar o escuchar a la ciudadanía. El uso de Twitter, Facebook, Youtube, y otras herramientas, son ahora elementos básicos a considerar dentro de la campaña electoral.En el presente estudio, la plataforma digital estudiada para conocer el grado de interacción y promoción del diálogo entre electores y candidatos, será la página web oficial del candidato. A través de un análisis comparativo que identifique los componentes de la página web del candidato en una subdivisión entendida como las dimensiones Web 1.0 y Web 2.0, se reconocerán las plataformas de participación y diálogo que ofrezcan los candidatos a la presidencia, por una parte, en España, para las elecciones de 2011, y por otra en México, en las elecciones de 2012. Esto permitirá obtener un panorama de lo que en participación ciudadana y promoción del diálogo se propuso desde las páginas web de los candidatos presidenciales.
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El proyecto consiste en el diseño y desarrollo de una aplicación web para la gestión de una entidad deportiva. La aplicación ha de permitir la gestión de las distintas facetas deportivas: temporadas, categorías, ligas, equipos, resultados y clasi caciones. También será un escaparate de lo que ocurre en la entidad para socios y accionados; así, también ha de servir para la publicación de noticias relacionadas con la entidad y facilitar la información en una zona pública que podrá ver cualquiera.
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We propose a class of models of social network formation based on a mathematical abstraction of the concept of social distance. Social distance attachment is represented by the tendency of peers to establish acquaintances via a decreasing function of the relative distance in a representative social space. We derive analytical results (corroborated by extensive numerical simulations), showing that the model reproduces the main statistical characteristics of real social networks: large clustering coefficient, positive degree correlations, and the emergence of a hierarchy of communities. The model is confronted with the social network formed by people that shares confidential information using the Pretty Good Privacy (PGP) encryption algorithm, the so-called web of trust of PGP.
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El següent projecte presenta una proposta de recerca per a una futura tesi doctoral. Aquest, pretén estudiar quins són els factors clau que s‟han de contemplar en la comunicació web de les destinacions enoturístiques per tal d‟establir una comunicació eficaç, persuasiva i atractiva per als seus públics. També pretén contribuir a establir uns principis comunicatius que afavoreixin la creació de sinèrgies entre les destinacions enoturístiques europees. L‟estudi es planteja la recerca de la comunicació web a tres nivells: la font, el missatge i la recepció d‟aquest. Amb aquesta finalitat, es proposa una triangulació de mètodes qualitatius i quantitatius basada en la utilització de les tècniques de revisió documental, d‟anàlisi de contingut web, entrevistes en profunditat, enquestes i l‟experimentació. L‟estudi permetrà obtenir un recull de bones pràctiques per a optimitzar la comunicació enoturística a través del web; una contribució teòrica des d‟una perspectiva comunicativa útil per a l‟evolució del sector
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Creació d'una aplicació web en servidor local juntament amb una base de dades que permetrà gestionar els actius físics d'una empresa d'enllumenat públic utilitzant el framework JSF.
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This article introduces a new interface for T-Coffee, a consistency-based multiple sequence alignment program. This interface provides an easy and intuitive access to the most popular functionality of the package. These include the default T-Coffee mode for protein and nucleic acid sequences, the M-Coffee mode that allows combining the output of any other aligners, and template-based modes of T-Coffee that deliver high accuracy alignments while using structural or homology derived templates. These three available template modes are Expresso for the alignment of protein with a known 3D-Structure, R-Coffee to align RNA sequences with conserved secondary structures and PSI-Coffee to accurately align distantly related sequences using homology extension. The new server benefits from recent improvements of the T-Coffee algorithm and can align up to 150 sequences as long as 10,000 residues and is available from both http://www.tcoffee.org and its main mirror http://tcoffee.crg.cat.
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Implementació d'un programa que permeti el filtrat de pàgines web sobre el protocol HTTP.
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TFC que pretende establecer las bases para el diseño de una plataforma web de inversión colectiva (crowdfunding) desde el punto de vista de la interacción humana con el ordenador (IHO) teniendo en cuenta los principios del diseño centrado en el usuario (DCU).
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L'objecte del treball és la realització d'un lloc web de comerç electrònic.
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Creació d'una botiga en línia amb PrestaShop per a la venda de components informàtics.
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El presente proyecto consiste en el desarrollo y la implantación en producción de un sitio web de soporte técnico para los proyectos SIDUNEA World de la Conferencia de la Naciones Unidas sobre Comercio y Desarrollo.