No reliable evidence for immediate noise-induced song flexibility in a suboscine

Urban Ecosystems - Vermilion flycatchers, a suboscine, sing songs with more elements in territories with higher urban noise levels. We tested the hypothesis that this pattern is achieved through...     

Ground beetle (Coleoptera: Carabidae) communities on green roofs in Switzerland: synthesis and perspectives

Urban Ecosystems - Green roofs have recently gained recognition for their potential contribution to urban ecosystems by providing, among other services, habitat for plants and animals, and stepping...     

Quantifying the synergistic effects of impervious surface and drought on radial tree growth

Urban Ecosystems - The global trend of increasing urbanization is generating isolated patches of vegetation that could be strongly influenced by the surrounding landscape. Simultaneously, many of...     

LGBTQI-identified human rights defenders: courage in the face of adversity at the United Nations

The role of LGBTQI human rights defenders in the international arena at the United Nations (UN) is a particularly risky and insecure one, especially for those who themselves identify as lesbian, gay, bisexual, transsexual, transgender, two spirit, queer, and intersex (LGBTQI). This article focuses on the anecdotal experiences of LGBTQI-identified human rights defenders and their work at the UN, observed and noted during a research study examining the degree of recognition and legitimacy LGBTQIs have at the UN. Much courage is required on the part of LGBTQI-identified human rights defenders who, while defending others in their communities, themselves face opposition from those within the UN who hold traditional, religious, and culturally based values, as well as a result of state sovereignty and state-sanctioned criminalisation of their gender and sexual diversity.     

Factors related to attitudes toward diversity in Australia,Malaysia, and Puerto Rico

In this study, we tested social identity complexity theory (Roccas & Brewer, 2002) in relation to attitudes toward diversity and the associated variables of patriotism, nationalism, religiosity, aggression, and sense of self (well-being) in a cross-cultural study of 398 Malaysian, 239 Australian, and 201 Puerto Rican students. Puerto Ricans reported the most positive attitudes toward diversity, followed by Australians, and finally Malaysians. For Puerto Ricans, pro-diversity attitudes were predicted by a positive correlation with constructive patriotism and a negative correlation with blind patriotism. For Australians, pro-diversity attitudes were predicted by a positive association with constructive patriotism, a negative association with traditional nationalism, and a negative association with physical aggression. For Malaysians, pro-diversity attitudes were predicted by positive relationships with all of the following variables: constructive patriotism, traditional nationalism, verbal aggression, hostility, and the need to bolster self through idealizing others. These results support social identity complexity theory and partially support associated predictions for Australians, Puerto Ricans, and some of the predictions for Malaysians. The results are explained in terms of local cultural contexts that may not easily be understood by a simple understanding of the variables that were measured.     

Mixture inverse Gaussian for unobserved heterogeneity in the autoregressive conditional duration model

In this paper, we assume that the duration of a process has two different intrinsic components or phases which are independent. The first is the time it takes for a trade to be initiated in the market (for example, the time during which agents obtain knowledge about the market in which they are operating and accumulate information, which is coherent with Brownian motion) and the second is the subsequent time required for the trade to develop into a complete duration. Of course, if the first time is zero then the trade is initiated immediately and no initial knowledge is required. If we assume a specific compound Bernoulli distribution for the first time and an inverse Gaussian distribution for the second, the resulting convolution model has a mixture of an inverse Gaussian distribution with its reciprocal, which allows us to specify and test the unobserved heterogeneity in the autoregressive conditional duration (ACD) model.

Our proposals make it possible not only to capture various density shapes of the durations but also easily to accommodate the behaviour of the tail of the distribution and the non monotonic hazard function. The proposed model is easy to fit and characterizes the behaviour of the conditional durations reasonably well in terms of statistical criteria based on point and density forecasts.     

Multivariate log-Birnbaum–Saunders regression models

In this paper, we present a multivariate version of the skewed log-Birnbaum–Saunders regression model. This new family of distributions holds good properties such as marginal variables following univariate skewed log-Birnbaum–Saunders distributions, besides presenting the usual log-Birnbaum–Saunders distribution as a particular case. Furthermore, the model parameters are estimated through maximum-likelihood methods, a closed-form expression for the Fisher’s information matrix is presented, and testing hypothesis for model parameters is performed. Two real datasets are analyzed and results are discussed.     

<Emphasis Type="BoldItalic">MAD-STEC</Emphasis>: a method for multiple automatic detection of space-time emerging clusters

Crime or disease surveillance commonly rely in space-time clustering methods to identify emerging patterns. The goal is to detect spatial-temporal clusters as soon as possible after its occurrence and to control the rate of false alarms. With this in mind, a spatio-temporal multiple cluster detection method was developed as an extension of a previous proposal based on a spatial version of the Shiryaev–Roberts statistic. Besides the capability of multiple cluster detection, the method have less input parameter than the previous proposal making its use more intuitive to practitioners. To evaluate the new methodology a simulation study is performed in several scenarios and enlighten many advantages of the proposed method. Finally, we present a case study to a crime data-set in Belo Horizonte, Brazil.