Estudio de la accesibilidad de los documentos cientificos en soporte digital

Resumen: El artículo analiza los problemas de accesibilidad que actualmente presentan los artículos científicos en soporte digital. El estudio se centra en los aspectos de facilidad de uso del contenido de los documentos digitales según la forma en que se publiquen, sin entrar en el estudio de los distintos sistemas de recuperación. Se analizan los dos formatos más utilizados para la publicación de artículos científicos en soporte digital: HTML y PDF, estudiando el desempeño lector en relación a la presencia de sumarios o de tablas internas o vinculadas. El estudio se ha realizado con dos colectivos: 30 sujetos ciegos, usuarios de Jaws, contactados gracias a la mediación de la Fundación ONCE, y 30 sujetos no ciegos, profesores del Departamento de Biblioteconomía y Documentación de la Universidad de Barcelona. El estudio muestra que la localización de los datos contenidos en tablas se ve facilitada en documentos HTML por la inclusión de un sumario que vincule con la tabla, así como la inclusión de tablas completas en el cuerpo del documento HTML facilita la actividad lectora por parte de los usuarios ciegos. A nivel metodológico la presente investigación aporta dos novedades relevantes respecto a la literatura existente en los estudios de usabilidad con ciegos: estudia la usabilidad del formato PDF y es un test de usabilidad cuantitativo; este último hecho dificulta su comparación con la mayoría de artículos publicados. Abstract: This paper analyses the problems of accessibility posed by scientific articles published in digital format, focusing on the ease of use of their content with respect to the form in which they are published (irrespective of the recovery system). The two most widely used formats for the publication of scientific articles in digital format, HTML and PDF, are analysed, examining reader performance in relation to the presence of contents lists or internal or linked tables. The study involved two groups: 30 blind subjects, all JAWS users, contacted through the ONCE Foundation, and 30 sighted subjects, lecturers in the Department of Librarianship and Documentation of the University of Barcelona. The results shows the location of data in tables is easier in HTML documents through the inclusion of a contents list linked to these tables. Further, the inclusion of complete tables in the body of HTML document facilitates the reading activity of blind users. At the methodological level, this work reports two novelties with respect to the existing literature on usability by blind people: it examines the usability of the PDF format, and discusses a quantitative usability test. The latter hinders comparison with the majority of published articles.

Estudio de la accesibilidad de los documentos cientificos en soporte digital

Resumen: El artículo analiza los problemas de accesibilidad que actualmente presentan los artículos científicos en soporte digital. El estudio se centra en los aspectos de facilidad de uso del contenido de los documentos digitales según la forma en que se publiquen, sin entrar en el estudio de los distintos sistemas de recuperación. Se analizan los dos formatos más utilizados para la publicación de artículos científicos en soporte digital: HTML y PDF, estudiando el desempeño lector en relación a la presencia de sumarios o de tablas internas o vinculadas. El estudio se ha realizado con dos colectivos: 30 sujetos ciegos, usuarios de Jaws, contactados gracias a la mediación de la Fundación ONCE, y 30 sujetos no ciegos, profesores del Departamento de Biblioteconomía y Documentación de la Universidad de Barcelona. El estudio muestra que la localización de los datos contenidos en tablas se ve facilitada en documentos HTML por la inclusión de un sumario que vincule con la tabla, así como la inclusión de tablas completas en el cuerpo del documento HTML facilita la actividad lectora por parte de los usuarios ciegos. A nivel metodológico la presente investigación aporta dos novedades relevantes respecto a la literatura existente en los estudios de usabilidad con ciegos: estudia la usabilidad del formato PDF y es un test de usabilidad cuantitativo; este último hecho dificulta su comparación con la mayoría de artículos publicados. Abstract: This paper analyses the problems of accessibility posed by scientific articles published in digital format, focusing on the ease of use of their content with respect to the form in which they are published (irrespective of the recovery system). The two most widely used formats for the publication of scientific articles in digital format, HTML and PDF, are analysed, examining reader performance in relation to the presence of contents lists or internal or linked tables. The study involved two groups: 30 blind subjects, all JAWS users, contacted through the ONCE Foundation, and 30 sighted subjects, lecturers in the Department of Librarianship and Documentation of the University of Barcelona. The results shows the location of data in tables is easier in HTML documents through the inclusion of a contents list linked to these tables. Further, the inclusion of complete tables in the body of HTML document facilitates the reading activity of blind users. At the methodological level, this work reports two novelties with respect to the existing literature on usability by blind people: it examines the usability of the PDF format, and discusses a quantitative usability test. The latter hinders comparison with the majority of published articles.

Association between HIV status and HIV knowledge in the population attending Non-Governmental Organizations to perform the rapid HIV test in Catalonia

Human Immunodeficiency Virus continues to be a pandemic. Spain is one of the European countries with the highest incidence of HIV. Within Catalonia, Spain many projects have been implemented with the intention of improving HIV knowledge and lowering the incidence. HIV knowledge is also known to have a positive effect on lowering stigma and discrimination of the people living with HIV. However, few studies study the distribution of HIV knowledge and its association to HIV status, age, sex, geographical zone of origin and level of education within the same study. Objectives: To identify if HIV knowledge is associated with HIV status, age, sex, geographical zone of origin and level of education. Method: Quantitative, cross-sectional, centre-based study comprising of people receiving an HIV test in Catalonia, Spain. Data will be collected from the 11 HIV Non-Governmental Organisations in Catalonia, Spain. The Brief HIV Knowledge Scale will be used to assess HIV knowledge; information from the HIV test session will be used to assess HIV status, age, sex, geographic zone of origin and level of education. The association between HIV knowledge and the afore mentioned variables will then be calculated.

Study and implementation of some quantitative trading models

Quantitative or algorithmic trading is the automatization of investments decisions obeying a fixed or dynamic sets of rules to determine trading orders. It has increasingly made its way up to 70% of the trading volume of one of the biggest financial markets such as the New York Stock Exchange (NYSE). However, there is not a signi cant amount of academic literature devoted to it due to the private nature of investment banks and hedge funds. This projects aims to review the literature and discuss the models available in a subject that publications are scarce and infrequently. We review the basic and fundamental mathematical concepts needed for modeling financial markets such as: stochastic processes, stochastic integration and basic models for prices and spreads dynamics necessary for building quantitative strategies. We also contrast these models with real market data with minutely sampling frequency from the Dow Jones Industrial Average (DJIA). Quantitative strategies try to exploit two types of behavior: trend following or mean reversion. The former is grouped in the so-called technical models and the later in the so-called pairs trading. Technical models have been discarded by financial theoreticians but we show that they can be properly cast into a well defined scientific predictor if the signal generated by them pass the test of being a Markov time. That is, we can tell if the signal has occurred or not by examining the information up to the current time; or more technically, if the event is F_t-measurable. On the other hand the concept of pairs trading or market neutral strategy is fairly simple. However it can be cast in a variety of mathematical models ranging from a method based on a simple euclidean distance, in a co-integration framework or involving stochastic differential equations such as the well-known Ornstein-Uhlenbeck mean reversal ODE and its variations. A model for forecasting any economic or financial magnitude could be properly defined with scientific rigor but it could also lack of any economical value and be considered useless from a practical point of view. This is why this project could not be complete without a backtesting of the mentioned strategies. Conducting a useful and realistic backtesting is by no means a trivial exercise since the \laws" that govern financial markets are constantly evolving in time. This is the reason because we make emphasis in the calibration process of the strategies' parameters to adapt the given market conditions. We find out that the parameters from technical models are more volatile than their counterpart form market neutral strategies and calibration must be done in a high-frequency sampling manner to constantly track the currently market situation. As a whole, the goal of this project is to provide an overview of a quantitative approach to investment reviewing basic strategies and illustrating them by means of a back-testing with real financial market data. The sources of the data used in this project are Bloomberg for intraday time series and Yahoo! for daily prices. All numeric computations and graphics used and shown in this project were implemented in MATLAB^R scratch from scratch as a part of this thesis. No other mathematical or statistical software was used.

A simple permutation test for clusteredness

Hierarchical clustering is a popular method for finding structure in multivariate data,resulting in a binary tree constructed on the particular objects of the study, usually samplingunits. The user faces the decision where to cut the binary tree in order to determine the numberof clusters to interpret and there are various ad hoc rules for arriving at a decision. A simplepermutation test is presented that diagnoses whether non-random levels of clustering are presentin the set of objects and, if so, indicates the specific level at which the tree can be cut. The test isvalidated against random matrices to verify the type I error probability and a power study isperformed on data sets with known clusteredness to study the type II error.

A scaled difference chi-square test statistic for moment structure analysis

A family of scaling corrections aimed to improve the chi-square approximation of goodness-of-fit test statistics in small samples, large models, and nonnormal data was proposed in Satorra and Bentler (1994). For structural equations models, Satorra-Bentler's (SB) scaling corrections are available in standard computer software. Often, however, the interest is not on the overall fit of a model, but on a test of the restrictions that a null model say ${\cal M}_0$ implies on a less restricted one ${\cal M}_1$. If $T_0$ and $T_1$ denote the goodness-of-fit test statistics associated to ${\cal M}_0$ and ${\cal M}_1$, respectively, then typically the difference $T_d = T_0 - T_1$ is used as a chi-square test statistic with degrees of freedom equal to the difference on the number of independent parameters estimated under the models ${\cal M}_0$ and ${\cal M}_1$. As in the case of the goodness-of-fit test, it is of interest to scale the statistic $T_d$ in order to improve its chi-square approximation in realistic, i.e., nonasymptotic and nonnormal, applications. In a recent paper, Satorra (1999) shows that the difference between two Satorra-Bentler scaled test statistics for overall model fit does not yield the correct SB scaled difference test statistic. Satorra developed an expression that permits scaling the difference test statistic, but his formula has some practical limitations, since it requires heavy computations that are notavailable in standard computer software. The purpose of the present paper is to provide an easy way to compute the scaled difference chi-square statistic from the scaled goodness-of-fit test statistics of models ${\cal M}_0$ and ${\cal M}_1$. A Monte Carlo study is provided to illustrate the performance of the competing statistics.

On the accuracy of Latin American trade statistics: A nonparametric test for 1925

This paper proposes a nonparametric test in order to establish the level of accuracy of theforeign trade statistics of 17 Latin American countries when contrasted with the trade statistics of the main partners in 1925. The Wilcoxon Matched-Pairs Ranks test is used to determine whether the differences between the data registered by exporters and importers are meaningful, and if so, whether the differences are systematic in any direction. The paper tests for the reliability of the data registered for two homogeneous products, petroleum and coal, both in volume and value. The conclusion of the several exercises performed is that we cannot accept the existence of statistically significant differences between the data provided by the exporters and the registered by the importing countries in most cases. The qualitative historiography of Latin American describes its foreign trade statistics as mostly unusable. Our quantitative results contest this view.

Comparing and validating hypothesis test procedures: Graphical and numerical tools

When the behaviour of a specific hypothesis test statistic is studied by aMonte Carlo experiment, the usual way to describe its quality is by givingthe empirical level of the test. As an alternative to this procedure, we usethe empirical distribution of the obtained \emph{p-}values and exploit itsinformation both graphically and numerically.

Assessing functional relations in single-case designs: Quantitative proposals in the context of the evidence-based movement

In the context of the evidence-based practices movement, the emphasis on computing effect sizes and combining them via meta-analysis does not preclude the demonstration of functional relations. For the latter aim, we propose to augment the visual analysis to add consistency to the decisions made on the existence of a functional relation without losing sight of the need for a methodological evaluation of what stimuli and reinforcement or punishment are used to control the behavior. Four options for quantification are reviewed, illustrated, and tested with simulated data. These quantifications include comparing the projected baseline with the actual treatment measurements, on the basis of either parametric or nonparametric statistics. The simulated data used to test the quantifications include nine data patterns in terms of the presence and type of effect and comprising ABAB and multiple baseline designs. Although none of the techniques is completely flawless in terms of detecting a functional relation only when it is present but not when it is absent, an option based on projecting split-middle trend and considering data variability as in exploratory data analysis proves to be the best performer for most data patterns. We suggest that the information on whether a functional relation has been demonstrated should be included in meta-analyses. It is also possible to use as a weight the inverse of the data variability measure used in the quantification for assessing the functional relation. We offer an easy to use code for open-source software for implementing some of the quantifications.