Floral abundance and richness drive beneficial arthropod conservation and biological control on golf courses

Urban Ecosystems - Golf courses are among the largest, most ubiquitous highly maintained urban green spaces in the U.S. Although their primary function is recreation, a large portion of golf course...     

The Influence of Parent Expectations and Parent-Child Relationships on Mental Health in Asian American and White American Families

Previous studies have suggested that Asian parents’ high academic expectations can lead to negative mental health outcomes among Asian American youth. We explore this hypothesis by analyzing data collected in an affluent, suburban high school with a large Asian American population. We examine the relationships between parent expectations, students’ relationships with their parents, and mental health outcomes among Asian American (predominantly Indian American and Chinese American) and white youth. We find that the quality of parent-child relationships is associated with mental health outcomes and that the association between parent expectations and mental health outcomes is insignificant after controlling for these relationships. We discuss significant differences by race and gender. The findings presented expand our understanding of the influence of Asian parents. They suggest that focusing on improving parent-child relationships, as opposed to altering parents’ expectations, might lead to improved mental health outcomes for Asian American youth, particularly for those in affluent communities.     

Estimation and Classification of BOLD Responses Over Multiple Trials

In this article, we model functional magnetic resonance imaging (fMRI) data for event-related experiment data using a fourth degree spline to fit voxel specific blood oxygenation level-dependent (BOLD) responses. The data are preprocessed for removing long term temporal components such as drifts using wavelet approximations. The spatial dependence is incorporated in the data by the application of 3D Gaussian spatial filter. The methodology assigns an activation score to each trial based on the voxel specific characteristics of the response curve. The proposed procedure has a capability of being fully automated and it produces activation images based on overall scores assigned to each voxel. The methodology is illustrated on real data from an event-related design experiment of visually guided saccades (VGS).     

Clean and green organizing in urban neighborhoods: Measuring perceived and objective outcomes

ABSTRACT

One way in which urban community organizations attempt to improve neighborhood health is through cleaning and greening efforts. Few studies have evaluated how such efforts are related to changes in both residents’ perceptions of neighborhoods and objective community-wide cleaning and greening indicators over time. Drawing upon quantitative and qualitative data collected during an evaluation of a community-building initiative in two communities, results show how neighborhood changes in cleaning and greening were reflected in perceived and objective measures and how these measures compare across different time periods and sub-groups of residents within the two target communities. We provide suggestions for additional ways that future evaluations of urban cleaning and greening efforts can examine the impact.     

Hypothesis testing, power and sample size determination for between group comparisons in fMRI experiments

Modern methods for imaging the human brain, such as functional magnetic resonance imaging (fMRI) present a range of challenging statistical problems. In this paper, we first develop a large sample based test for between group comparisons and use it to determine the necessary sample size in order to obtain a target power via simulation under various alternatives for a given pre-specified significance level. Both testing and sample size calculations are particularly critical for neuroscientists who use these new techniques, since each subject is expensive to image.     

Presenting DEA graphically

This paper introduces a methodology that permits presentation of the results of data envelopment analysis (DEA) graphically. A specialized form of multi-dimensional scaling, Co-Plot, enables presentation of the DEA results in a two-dimensional space, hence in a clear, understandable manner. When plotting ratios rather than original data, DEA efficient units can be visualized clearly, as well as their connections to specific variables and/or ratios. Furthermore, Co-Plot can be used in an exploratory data analysis to identify outliers, whose data require additional scrutiny, and potentially inconsequential variables that could be aggregated or removed from the analysis with little effect on the subsequent DEA results.     

Understanding the role of facial asymmetry in human face identification

Face recognition has important applications in forensics (criminal identification) and security (biometric authentication). The problem of face recognition has been extensively studied in the computer vision community, from a variety of perspectives. A relatively new development is the use of facial asymmetry in face recognition, and we present here the results of a statistical investigation of this biometric. We first show how facial asymmetry information can be used to perform three different face recognition tasks—human identification (in the presence of expression variations), classification of faces by expression, and classification of individuals according to sex. Initially, we use a simple classification method, and conduct a feature analysis which shows the particular facial regions that play the dominant role in achieving these three entirely different classification goals. We then pursue human identification under expression changes in greater depth, since this is the most important task from a practical point of view. Two different ways of improving the performance of the simple classifier are then discussed: (i) feature combinations and (ii) the use of resampling techniques (bagging and random subspaces). With these modifications, we succeed in obtaining near perfect classification results on a database of 55 individuals, a statistically significant improvement over the initial results as seen by hypothesis tests of proportions.     

Whose Advice is Credible? Claiming Lay Expertise in a Covid-19 Online Community

Qualitative Sociology - During the initial months of the Covid-19 pandemic, credentialed experts—scientists, doctors, public health experts, and policymakers—as well as members of the...     

Becoming a New Farmer: Agrarianism and the Contradictions of Diverse Economies*

A resurgence of agrarianism has motivated new farmers to enter farming, not for profit, but for lifestyle and socio‐ecological values which are frequently associated with diverse economies. Proponents of diverse economies argue for an ontological reframing that accounts for non‐capitalist forms of economic exchange. However, these perspectives have not fully addressed the conditions—often structured by race and class—that facilitate participation in diverse economies. This paper is based on mixed‐methods research on the life cycle of new farmers in Hawai‘i that include participants of farmer training programs. We investigate what drives new farmers into farming, by what mechanisms they are able (or not) to establish a farm, and what limits the duration of their participation. Our analysis reveals three contradictions of diverse economies in agriculture: (1) the inadvertent undervaluation of farmwork that undermines broader efforts to improve the welfare of farm labor; (2) the tension between the value of scaling up and the vulnerability of cooptation; and (3) the ways in which the duration of new farmers' engagement is structured by their ability to mobilize unpaid labor and external resources. These contradictions challenge long‐term and inclusive participation in diverse economies in ways that constrain their emancipatory potential.     

The Social and Spatial Stratification of Vaccinal Patterns in Berlin Following Re‐Unification

Efforts by health authorities to stress the importance of herd immunity in the light of a resurgence of seemingly vanquished childhood diseases have frequently met with poor response rates. Investigating whether reunified Berlin can achieve a desirable herd immunity of 80% ‐ 85% against diphtheria, this paper examines the potential influence of socio‐demographic variables (age, gender, social circumstances, migration background) on vaccine‐uptake. Secondly, it investigates historically diverging vaccinal policies in Berlin as well as recent changes to monitoring coverage in their effect on immunisation‐related behaviour.