Singing in Dangerous Places (Flores,Lamaholot, Indonesia)

At the eastern tip of Flores Island (Indonesia), there is a people whose members sing in special places, both inhabited and uninhabited, and at special times. Approximately four times a year, songs and dances are performed around a group of stones, in the dancing place. Singers move around these stones all night until dawn. They also sing in front of special trees when going out to their fields, or standing in circles around posts, stones or altars set up on the cultivated land. All these locations are named ‘dangerous places’. They are as far flung as seashores and forests. What relationships with these places do humans enter into? What kind of history and stories do these places mark? What potency do they bear? This paper shows that singing brings people into relationships with various categories of beings at certain places in every ceremonial domain of this peninsula.     

Correction to: Analysis of environmental flow requirements for macroinvertebrates in a creek affected by urban drainage (Prague metropolitan area,Czech Republic)

Urban Ecosystems - The original version of this article unfortunately contained errors. The given name and family name of all the authors were interchanged. Dana, Jana and Tomá? are given...     

Impact of a classroom behavior management intervention on teacher risk ratings for student behavior

Classroom behavior management interventions have been used successfully with drug prevention programs to prevent subsequent antisocial behavior and substance use among youth. This article presents results from implementation of the All Stars Challenge, a classroom-based behavior management component to a drug prevention program for fifth graders. Risk ratings for shyness and lack of awareness of social norms among high-risk students who received the All Stars Challenge were reduced compared with fifth graders who did not receive the intervention. In contrast, physical and social aggressivity among low-risk students who received the program increased when compared to similar control students.     

Statistical Modeling of Fire Occurrence Using Data from the Tōhoku,Japan Earthquake and Tsunami

In this article, we develop statistical models to predict the number and geographic distribution of fires caused by earthquake ground motion and tsunami inundation in Japan. Using new, uniquely large, and consistent data sets from the 2011 Tōhoku earthquake and tsunami, we fitted three types of models—generalized linear models (GLMs), generalized additive models (GAMs), and boosted regression trees (BRTs). This is the first time the latter two have been used in this application. A simple conceptual framework guided identification of candidate covariates. Models were then compared based on their out‐of‐sample predictive power, goodness of fit to the data, ease of implementation, and relative importance of the framework concepts. For the ground motion data set, we recommend a Poisson GAM; for the tsunami data set, a negative binomial (NB) GLM or NB GAM. The best models generate out‐of‐sample predictions of the total number of ignitions in the region within one or two. Prefecture‐level prediction errors average approximately three. All models demonstrate predictive power far superior to four from the literature that were also tested. A nonlinear relationship is apparent between ignitions and ground motion, so for GLMs, which assume a linear response‐covariate relationship, instrumental intensity was the preferred ground motion covariate because it captures part of that nonlinearity. Measures of commercial exposure were preferred over measures of residential exposure for both ground motion and tsunami ignition models. This may vary in other regions, but nevertheless highlights the value of testing alternative measures for each concept. Models with the best predictive power included two or three covariates.     

A GENDERED CONTEXT OF OPPORTUNITY:

Current research has failed to examine how women's opportunities in the labor market, in combination with their human capital attributes, differentially affect the likelihood that they will live in poverty. This study overcomes this limitation by placing specific emphasis on the role that labor market opportunities play in contributing to, or reducing, women's and men's risk of poverty. In addition, differences in poverty risk by urban and rural labor market areas are examined, as labor market dynamics vary substantially by rurality. Using the PUMS-L and STF3C for 1990, logistic regression techniques are employed to address these issues. Our results indicate that women across all labor market contexts have a significantly higher risk of poverty than men, and incorporation of labor market characteristics fails to explain this higher risk. However, the economic opportunities available in the labor market play an important role in determining how an individual's credentials, family background, and work experience translate into poverty risk. While individual attributes play a smaller role in explaining rural women's likelihood of living in poverty, women in both urban and rural labor markets face more limited economic opportunities than their male counterparts. This suggests that a "gendered" context of opportunity remains a barrier for women's movement out of poverty in both urban and rural labor markets.     

Youth Participation in U.S. Contexts: Student Voice Without a National Mandate

Unlike the United Kingdom and other nations that mandate youth participation to some degree, U.S. policies instead tend to inhibit child participation rather than encourage it. Given these policy contexts, it can be challenging to locate spaces where robust opportunities for democratic participation and student voice exist. We use this article as an opportunity to examine the disciplinary, philosophical and methodological approaches that have framed youth participation in youth contexts. We conclude by identifying critical issues of citizenship and belonging that must be considered in participatory research.     

Oxidative stress levels are reduced in postmenopausal women with exercise training regardless of hormone replacement therapy status

This study investigated whether postmenopausal women on HRT would experience a greater reduction in oxidative stress after 24 weeks of aerobic exercise training compared to postmenopausal women not on HRT. Plasma thiobarbituric acid reactive substances (TBARS), an indicator of oxidative stress, was measured in 48 previously sedentary postmenopausal women on HRT (n = 21) and not on HRT (n = 27) before and after 24 weeks of aerobic exercise training. Baseline levels of TBARS differed significantly between groups after controlling for age, BMI, and fasting blood glucose (P = 0.03). There was a significant reduction in TBARS after 24 weeks of training in the overall group. When analyzed separately, both postmenopausal women on HRT and those not on HRT had a significant reduction in TBARS; however, there was no significant difference between groups (-0.71 +/- 0.14 nmol/ml in non-HRT users vs. -0.50 +/- 0.16 nmol/ml in HRT users; P = 0.33) even after controlling for age, BMI, and baseline levels of TBARS. Our results showed that aerobic exercise training significantly decreased oxidative stress in postmenopausal women; however, both HRT users and non-HRT users benefited equally.     

A note on the distribution of the resistance of rank tests

Measurement of the effect of extreme observations on test statistics has been discussed by many authors. Test resistance to rejection (acceptance) is one of the most appealing methods. Using the distribution of the test statistic, the exact and asymptotic distributions of the test resistance to rejection (acceptance) are introduced. The usage of the distribution is emphasized in the case of the sign test and Spearman’s rho.