Cross-Recurrence Quantification Analysis of Categorical and Continuous Time Series: an R package

This paper describes the R package crqa to perform cross-recurrence quantification analysis of two time series of either a categorical or continuous nature. Streams of behavioral information, from eye movements to linguistic elements, unfold over time. When two people interact, such as in conversation, they often adapt to each other, leading these behavioral levels to exhibit recurrent states. In dialogue, for example, interlocutors adapt to each other by exchanging interactive cues: smiles, nods, gestures, choice of words, and so on. In order for us to capture closely the goings-on of dynamic interaction, and uncover the extent of coupling between two individuals, we need to quantify how much recurrence is taking place at these levels. Methods available in crqa would allow researchers in cognitive science to pose such questions as how much are two people recurrent at some level of analysis, what is the characteristic lag time for one person to maximally match another, or whether one person is leading another. First, we set the theoretical ground to understand the difference between 'correlation' and 'co-visitation' when comparing two time series, using an aggregative or cross-recurrence approach. Then, we describe more formally the principles of cross-recurrence, and show with the current package how to carry out analyses applying them. We end the paper by comparing computational efficiency, and results' consistency, of crqa R package, with the benchmark MATLAB toolbox crptoolbox. We show perfect comparability between the two libraries on both levels

Intersectionality queer studies and hybridity: methodological frameworks for social research

This article seeks to draw links between intersectionality and queer studies as epistemological strands by examining their common methodological tasks and by tracing some similar difficulties of translating theory into research methods. Intersectionality is the systematic study of the ways in which differences such as race, gender, sexuality, class, ethnicity and other sociopolitical and cultural identities interrelate. Queer theory, when applied as a distinct methodological approach to the study of gender and sexuality, has sought to denaturalise categories of analysis and make normativity visible. By examining existing research projects framed as 'queer' alongside ones that use intersectionality, I consider the importance of positionality in research accounts. I revisit Judith Halberstam's (1998) 'Female Masculinity' and Gloria Anzaldua's (1987) 'Borderlands' and discuss the tension between the act of naming and the critical strategical adoption of categorical thinking. Finally, I suggest hybridity as one possible complementary methodological approach to those of intersectionality and queer studies. Hybridity can facilitate an understanding of shifting textual and material borders and can operate as a creative and political mode of destabilising not only complex social locations, but also research frameworks

The Effect of Inflation Targeting Policies on Dollarization-A Cross-Country Analysis

This paper attempts to review the experiences of various dollarized economies from the adoption of an explicit inflation-targeting framework for domestic monetary policy. Dollarization is the phenomenon where agents in a country choose to use a foreign currency instead of their domestic currency. This often occurs in response to episodes of high inflation rate in the domestic economy. Central Banks of these countries often respond by adopting an inflation-targeting regime. This paper attempts to evaluate the effectiveness of such a policy by conducting a cross-country comparison. A panel dataset from 14 dollarized economies from 2001-2015, is used to compare between dollarized economies that have adopted inflation targeting regimes versus those that have not. Inflation targeting seems to have had a higher impact in de-dollarization in Latin American economies followed by East-Asian economies

Systems validation: application to statistical programs

BACKGROUND: In 2003, the United States Food and Drug Administration (FDA) released a guidance document on the scope of "Part 11" enforcement. In this guidance document, the FDA indicates an expectation of a risk-based approach to determining which systems should undergo validation. Since statistical programs manage and manipulate raw data, their implementation should be critically reviewed to determine whether or not they should undergo validation. However, the concepts of validation are not often discussed in biostatistics curriculum. DISCUSSION: This paper summarizes a "Plan, Do, Say" approach to validation that can be incorporated into statistical training so that biostatisticians can understand and implement validation principles in their research. SUMMARY: Validation is a process that requires dedicated attention. The process of validation can be easily understood in the context of the scientific method

Revisiting individual and group differences in thermal comfort based on ASHRAE database

Different thermal demands and preferences between individuals lead to a low occupant satisfaction rate, despite the high energy consumption by HVAC system. This study aims to quantify the difference in thermal demands, and to compare the influential factors which might lead to those differences. With the recently released ASHRAE Database, we quantitatively answered the following two research questions: which factors would lead to marked individual difference, and what the magnitude of this difference is. Linear regression has been applied to describe the macro-trend of how people feel thermally under different temperatures. Three types of factors which might lead to different thermal demands have been studied and compared in this study, i.e. individual factors, building characteristics and geographical factors. It was found that the local climate has the most marked impact on the neutral temperature, with an effect size of 3.5 °C; followed by country, HVAC operation mode and body built, which lead to a difference of more than 1 °C. In terms of the thermal sensitivity, building type and local climate are the most influential factors. Subjects in residential buildings or coming from Dry climate zone could accept 2.5 °C wider temperature range than those in office, education buildings or from Continental climate zone. The findings of this research could help thermal comfort researchers and designers to identify influential factors that might lead to individual difference, and could shed light on the feature selection for the development of personal comfort models