83 resultados para Blog datasets
Resumo:
El projecte es centra en el desenvolupament d'un recol·lector de notícies publicades a una llarga llista de blocs ampliada contínuament pel desenvolupador i pels usuaris, afegint els seus blocs preferits. L'aplicació desenvolupada realitza una recol·lecció contínua de notícies consultant les possibles novetats que apareguin en cada un dels blocs inscrits a l'aplicació. Se'ls hi aplica un classificador per idioma i per temàtica i es relaciona amb les altres notícies existents si aquestes parlen sobre el mateix tema. En l'aplicació desenvolupada hi ha la possibilitat d'escollir entre les temàtiques ofertes i en l'idioma que ha estat publicada la notícia. Pel desenvolupament del projecte s'ha desitjat que la plataforma sigui el més compatible possible amb la tecnologia actual fent servir diversos llenguatges de programació que han permès desenvolupar cada un dels algorismes necessaris pel desenvolupament global de l'aplicació; en ordre d'ús he fet servir Php, Matlab, Html, MySql, CSS3, Javascript i XML. s'ha de destacar que el projecte aporta una comoditat per tots aquells lectors de blocs que es troben tantes vegades amb notícies ja llegides en els diferents blocs que consulten.
Resumo:
While the Internet has given educators access to a steady supply of Open Educational Resources, the educational rubrics commonly shared on the Web are generally in the form of static, non-semantic presentational documents or in the proprietary data structures of commercial content and learning management systems.With the advent of Semantic Web Standards, producers of online resources have a new framework to support the open exchange of software-readable datasets. Despite these advances, the state of the art of digital representation of rubrics as sharable documents has not progressed.This paper proposes an ontological model for digital rubrics. This model is built upon the Semantic Web Standards of the World Wide Web Consortium (W3C), principally the Resource Description Framework (RDF) and Web Ontology Language (OWL).
Resumo:
La comunicació tracta de les diferents iniciatives de promoció basades en adaptacions tècniques de la plataforma original realitzades des de la Biblioteca, amb el suport tècnic de l'Àrea de Sistemes d'Informació i Comunicació, per impulsar l'accés obert a la Universitat Politècnica de València, a través d' RiuNet, el seu dipòsit institucional. Per aconseguir promocionar l'accés obert s'han obert diverses vies de treball que permetin als membres de la comunitat universitària difondre la seva producció intel¿lectual de forma directa i senzilla. En primer lloc s'ha pretès fer de RiuNet una aplicació "pròpia" de la Universitat Politècnica de València, personalitzant la interfície per aconseguir una integració visual amb la web de la institució i permetent l'autenticació i l'accés a través de la Intranet. En segon lloc es faciliten al màxim les tasques de autoarxivament als autors de contingut, mitjançant la integració de l'aplicació de gestió de les tesis amb RiuNet, el foment, a través del programa Docència en xarxa, de la generació d'objectes d'aprenentatge, la personalització del formulari de autoarxivament, per facilitar als alumnes la càrrega dels seus projectes de fi de carrera i tesines de màster i l'elaboració de l'Acord marc, contracte únic mitjançant el qual els autors autoritzen a la Universitat a difondre tota la seva producció en RiuNet . En tercer lloc s'han realitzat les tasques tècniques necessàries per permetre la integració amb altres aplicacions per a la docència i la recerca (PoliBuscador, PoliformaT, Polimedia, Politube, l'aplicació de gestió de l'activitat de recerca). Finalment s'està posant en marxa un Bloc sobre accés obert que permet difondre aquest moviment a la Universitat. Totes aquestes "petites" accions estan aconseguint, a poc a poc, que RiuNet sigui reconegut com una eina de difusió de la producció científica i acadèmica pròpia i, per tant, que sigui utilitzat cada vegada més per la comunitat universitària.
Resumo:
Proposta d’activitat per treballar la interculturalitat en el centre penitenciari de Figueres des del punt de vista de l’educador social. L’activitat consisteix en la creació i manteniment d’un blog obert a tots els interns mitjançant la xarxa moodle. L’autora aprofita per fer una extensa contextualització de la realitat del CP de Figueres
Resumo:
En este trabajo se analiza el modelo de profesionalización del colectivo de artistas amateurs propuesto desde el soporte de las comunidades online, con sede en Japón, Pixiv, Drawr y Tegaki Blog. Partiendo tanto del análisis de la propia actividad online por medio de la observación participante, como del análisis iconográfico e iconológico de las publicaciones derivadas de dichas comunidades, se intentará determinar aquella estética que resulta favorecida con fines comerciales y que propicia el salto al mundo profesional. También se abordará la influencia del manga (cómic japonés) y del movimiento artístico conocido como Superflat en la institucionalización de dicha estética
Resumo:
El present treball de final de carrera reflexiona sobre la importància que tenen els blocs actualment i analitza i compara tres casos pràctics per a obtenir un resultat que, posteriorment, tractarem d’aplicar al nostre bloc personal: Diezcontraonce. Des de l’aparició dels blocs, les empreses confien cada vegada més en aquesta eina per a comunicar els seus missatges. Alguns blogaires han adquirit un gran nivell d’influència i les empreses els tenen en compte, tant o més que als mitjans de comunicació. Casos com Enrique Dans, TcBlog i El Blog de Juan Merodio ens ajudaran a convertir el nostre blog en una potent eina de comunicació, influent i amb èxit. I ara, seran capaços els blogs i els blocaires de desbancar del tot als tradicionals mitjans de comunicació?
Resumo:
The log-ratio methodology makes available powerful tools for analyzing compositionaldata. Nevertheless, the use of this methodology is only possible for those data setswithout null values. Consequently, in those data sets where the zeros are present, aprevious treatment becomes necessary. Last advances in the treatment of compositionalzeros have been centered especially in the zeros of structural nature and in the roundedzeros. These tools do not contemplate the particular case of count compositional datasets with null values. In this work we deal with \count zeros" and we introduce atreatment based on a mixed Bayesian-multiplicative estimation. We use the Dirichletprobability distribution as a prior and we estimate the posterior probabilities. Then weapply a multiplicative modi¯cation for the non-zero values. We present a case studywhere this new methodology is applied.Key words: count data, multiplicative replacement, composition, log-ratio analysis
Resumo:
The application of Discriminant function analysis (DFA) is not a new idea in the studyof tephrochrology. In this paper, DFA is applied to compositional datasets of twodifferent types of tephras from Mountain Ruapehu in New Zealand and MountainRainier in USA. The canonical variables from the analysis are further investigated witha statistical methodology of change-point problems in order to gain a betterunderstanding of the change in compositional pattern over time. Finally, a special caseof segmented regression has been proposed to model both the time of change and thechange in pattern. This model can be used to estimate the age for the unknown tephrasusing Bayesian statistical calibration
Resumo:
In CoDaWork’05, we presented an application of discriminant function analysis (DFA) to 4 differentcompositional datasets and modelled the first canonical variable using a segmented regression modelsolely based on an observation about the scatter plots. In this paper, multiple linear regressions areapplied to different datasets to confirm the validity of our proposed model. In addition to dating theunknown tephras by calibration as discussed previously, another method of mapping the unknown tephrasinto samples of the reference set or missing samples in between consecutive reference samples isproposed. The application of these methodologies is demonstrated with both simulated and real datasets.This new proposed methodology provides an alternative, more acceptable approach for geologists as theirfocus is on mapping the unknown tephra with relevant eruptive events rather than estimating the age ofunknown tephra.Kew words: Tephrochronology; Segmented regression
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Given a set of images of scenes containing different object categories (e.g. grass, roads) our objective is to discover these objects in each image, and to use this object occurrences to perform a scene classification (e.g. beach scene, mountain scene). We achieve this by using a supervised learning algorithm able to learn with few images to facilitate the user task. We use a probabilistic model to recognise the objects and further we classify the scene based on their object occurrences. Experimental results are shown and evaluated to prove the validity of our proposal. Object recognition performance is compared to the approaches of He et al. (2004) and Marti et al. (2001) using their own datasets. Furthermore an unsupervised method is implemented in order to evaluate the advantages and disadvantages of our supervised classification approach versus an unsupervised one
Resumo:
A recent finding of the structural VAR literature is that the response of hours worked to a technology shock depends on the assumption on the order of integration of the hours. In this work we relax this assumption, allowing for fractional integration and long memory in the process for hours and productivity. We find that the sign and magnitude of the estimated impulse responses of hours to a positive technology shock depend crucially on the assumptions applied to identify them. Responses estimated with short-run identification are positive and statistically significant in all datasets analyzed. Long-run identification results in negative often not statistically significant responses. We check validity of these assumptions with the Sims (1989) procedure, concluding that both types of assumptions are appropriate to recover the impulse responses of hours in a fractionally integrated VAR. However, the application of longrun identification results in a substantial increase of the sampling uncertainty. JEL Classification numbers: C22, E32. Keywords: technology shock, fractional integration, hours worked, structural VAR, identification
Resumo:
Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characterize cancer, but validating their results can be a laborious task. Computational approaches are used to prioritize between genes putatively involved in cancer, usually based on further analyzing experimental data. Results: We implemented a systematic method using the PIANA software that predicts cancer involvement of genes by integrating heterogeneous datasets. Specifically, we produced lists of genes likely to be involved in cancer by relying on: (i) protein-protein interactions; (ii) differential expression data; and (iii) structural and functional properties of cancer genes. The integrative approach that combines multiple sources of data obtained positive predictive values ranging from 23% (on a list of 811 genes) to 73% (on a list of 22 genes), outperforming the use of any of the data sources alone. We analyze a list of 20 cancer gene predictions, finding that most of them have been recently linked to cancer in literature. Conclusion: Our approach to identifying and prioritizing candidate cancer genes can be used to produce lists of genes likely to be involved in cancer. Our results suggest that differential expression studies yielding high numbers of candidate cancer genes can be filtered using protein interaction networks.
Resumo:
Este proyecto final de carrera, consiste en la creación de un blog que gira en torno de una misma temática: el P.I.R (Psicólogo interno residente). Este título se crea en diciembre de 1998 mediante el Real Decreto 2490/1998. Se obtiene realizando la formación especializada en una plaza sanitaria de psicólogo interno residente o por un proceso de solicitud, de acuerdo con lo previsto en las disposiciones transitorias, para quienes ejercen antes de la creación del mismo.
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An important problem in descriptive and prescriptive research in decision making is to identify regions of rationality, i.e., the areas for which heuristics are and are not effective. To map the contours of such regions, we derive probabilities that heuristics identify the best of m alternatives (m > 2) characterized by k attributes or cues (k > 1). The heuristics include a single variable (lexicographic), variations of elimination-by-aspects, equal weighting, hybrids of the preceding, and models exploiting dominance. We use twenty simulated and four empirical datasets for illustration. We further provide an overview by regressing heuristic performance on factors characterizing environments. Overall, sensible heuristics generally yield similar choices in many environments. However, selection of the appropriate heuristic can be important in some regions (e.g., if there is low inter-correlation among attributes/cues). Since our work assumes a hit or miss decision criterion, we conclude by outlining extensions for exploring the effects of different loss functions.
Resumo:
An important policy issue in recent years concerns the number of people claimingdisability benefits for reasons of incapacity for work. We distinguish between workdisability , which may have its roots in economic and social circumstances, and healthdisability which arises from clear diagnosed medical conditions. Although there is a linkbetween work and health disability, economic conditions, and in particular the businesscycle and variations in the risk of unemployment over time and across localities, mayplay an important part in explaining both the stock of disability benefit claimants andinflows to and outflow from that stock. We employ a variety of cross?country andcountry?specific household panel data sets, as well as administrative data, to testwhether disability benefit claims rise when unemployment is higher, and also toinvestigate the impact of unemployment rates on flows on and off the benefit rolls. Wefind strong evidence that local variations in unemployment have an importantexplanatory role for disability benefit receipt, with higher total enrolments, loweroutflows from rolls and, often, higher inflows into disability rolls in regions and periodsof above?average unemployment. Although general subjective measures of selfreporteddisability and longstanding illness are also positively associated withunemployment rates, inclusion of self?reported health measures does not eliminate thestatistical relationship between unemployment rates and disability benefit receipt;indeed including general measures of health often strengthens that underlyingrelationship. Intriguingly, we also find some evidence from the United Kingdom and theUnited States that the prevalence of self?reported objective specific indicators ofdisability are often pro?cyclical that is, the incidence of specific forms of disability arepro?cyclical whereas claims for disability benefits given specific health conditions arecounter?cyclical. Overall, the analysis suggests that, for a range of countries and datasets, levels of claims for disability benefits are not simply related to changes in theincidence of health disability in the population and are strongly influenced by prevailingeconomic conditions. We discuss the policy implications of these various findings.