Relationship Between Tree Canopy Cover, Impervious Surfaces, & Bird Biodiversity in Urban Parks in Nashville, Tennessee​

Bird diversity is an indicator of the overall biodiversity in urban green spaces. Identifying factors associated with urban green spaces that strongly influence bird biodiversity can inform the development and management of urban green spaces. Parks with larger areas of impervious surfaces were predicted to have lower bird diversity than those with more tree canopy coverage. This study used iTree Canopy to determine the percentage of tree canopy and impermeable surfaces for four different areas of urban parks in Nashville, Tennessee. Two parks were closer to the urban core and two were farther away. Tree canopy and impermeable surface cover were compared to biodiversity of bird species determined from acoustic song meter recordings within the parks. Preliminary analysis of the data suggests that parks with higher percentages of impermeable areas relative to tree canopy had lower overall bird biodiversity. Managing parks for more tree canopy coverage can enhance urban bird diversity

Indoor Annual Sunlight Opportunity in Domestic Dwellings May Predict Well-Being in Urban Residents in Scotland

Indoor sunlight improves health in hospitals, schools, and workplaces, and there is clinical evidence for the impact on depression. But the impact of indoor sunlight on residents' health and well-being in domestic dwellings is unclear. Understanding this relationship could have important implications for building design and residents' indoor behavior, and impacts on health. Using a cross-sectional survey, we investigated the relationship between annual indoor sunlight opportunity and psychological well-being in 40 residents of high-rise dwellings in a socioeconomically deprived area in Glasgow, Scotland.  Perceived physical health, physical activity, psychological distress, and indoor environmental factors were potential mediators of the relationship between annual sunlight opportunity and well-being. We used novel simulation modeling of window size, orientation, occlusion, and occupant behavior to measure annual sunlight opportunity.  We found a significant positive association between well-being and annual indoor sunlight opportunity but no relationship between sunlight and objective indoor environmental variables, including air quality, bacteria, and fungi. Our sample had generally poor physical and mental health. Perceived physical health, lower psychological distress, more physical activity, and better perceived environmental quality were associated with greater psychological well-being. Perceived physical health mediated the impact of sunlight on well-being. Findings merit replication in larger and more diverse samples but have important implications for building design and advice to residents on window occlusion.&nbsp

Sunlight and mental wellbeing: evidence of links from social housing in Glasgow, Scotland [Conference abstract]

Paper accepted for presentation at VELUX Daylight Symposium 2015 (London

BYOE: Making Connections between Fluid Mechanics and Abstract Painting

This bring your own experiment (BYOE) paper details two iterations of a hands-on painting project that has been well-received by fluid mechanics students. In the conception of this project the authors have explored many of the relevant parameters for different painting techniques: drip painting, pendulum painting spray painting, and acrylic pours – one subset of which is spinning pours. These methods were explored both in terms of relevant fluid mechanic phenomenon as well as with hands-on experimentation, reviewing instructional videos and talking with artists. These efforts led to creation of short instructional videos that students can watch before undertaking their own attempts at creating a work of art. To date this project has been conducted as an extra credit opportunity, though discussion is presented on how the general idea could be deployed as a more traditional experimental lab or as a fun, yet relevant, end of semester lab activity. While the act of creating the fluid art inherently involves learning outcomes related to the importance of thinking creatively, exploring curiosity, prototyping and creating a product with limited project constraints, the instructor can determine the rigor of learning outcomes related to fluid mechanic principles with an accompanying written assignment. This BYOE paper is written with the goal of making the implementation of this project, or some variation of it, straightforward for instructors. Keeping material costs low was part of this consideration and set-up descriptions are provided as well as parts lists

Predicting Drug Solubility Using Different Machine Learning Methods -- Linear Regression Model with Extracted Chemical Features vs Graph Convolutional Neural Network

Predicting the solubility of given molecules is an important task in the pharmaceutical industry, and consequently this is a well-studied topic. In this research, we revisited this problem with the advantage of modern computing resources. We applied two machine learning models, a linear regression model and a graph convolutional neural network model, on multiple experimental datasets. Both methods can make reasonable predictions while the GCNN model had the best performance. However, the current GCNN model is a black box, while feature importance analysis from the linear regression model offers more insights into the underlying chemical influences. Using the linear regression model, we show how each functional group affects the overall solubility. Ultimately, knowing how chemical structure influences chemical properties is crucial when designing new drugs. Future work should aim to combine the high performance of GCNNs with the interpretability of linear regression, unlocking new advances in next generation high throughput screening.Comment: 6 pages, 4 figures, 2 table

Methods for Rapidly Processing Angular Masks of Next-Generation Galaxy Surveys

As galaxy surveys become larger and more complex, keeping track of the completeness, magnitude limit, and other survey parameters as a function of direction on the sky becomes an increasingly challenging computational task. For example, typical angular masks of the Sloan Digital Sky Survey contain about N=300,000 distinct spherical polygons. Managing masks with such large numbers of polygons becomes intractably slow, particularly for tasks that run in time O(N^2) with a naive algorithm, such as finding which polygons overlap each other. Here we present a "divide-and-conquer" solution to this challenge: we first split the angular mask into predefined regions called "pixels," such that each polygon is in only one pixel, and then perform further computations, such as checking for overlap, on the polygons within each pixel separately. This reduces O(N^2) tasks to O(N), and also reduces the important task of determining in which polygon(s) a point on the sky lies from O(N) to O(1), resulting in significant computational speedup. Additionally, we present a method to efficiently convert any angular mask to and from the popular HEALPix format. This method can be generically applied to convert to and from any desired spherical pixelization. We have implemented these techniques in a new version of the mangle software package, which is freely available at http://space.mit.edu/home/tegmark/mangle/, along with complete documentation and example applications. These new methods should prove quite useful to the astronomical community, and since mangle is a generic tool for managing angular masks on a sphere, it has the potential to benefit terrestrial mapmaking applications as well.Comment: New version 2.1 of the mangle software now available at http://space.mit.edu/home/tegmark/mangle/ - includes galaxy survey masks and galaxy lists for the latest SDSS data release and the 2dFGRS final data release as well as extensive documentation and examples. 14 pages, 9 figures, matches version accepted by MNRA

“I have to stay inside …”: experiences of air pollution for people with asthma

Asthma, characterized by airway inflammation, sensitization and constriction, and leading to symptoms including cough and dyspnoea, affects millions of people globally. Air pollution is a known asthma trigger, yet how it is experienced is understudied and how individuals with asthma interact with air quality information and manage exacerbation risks is unclear. This study aimed to explore how people living with asthma in Scotland, UK, experienced and managed their asthma in relation to air pollution. We explored these issues with 36 participants using semi-structured interviews. We found that self-protection measures were influenced by place and sense of control (with the home being a “safe space”), and that the perception of clean(er) air had a liberating effect on outdoor activities. We discuss how these insights could shape air quality-related health advice in future

Design and methods of the Longitudinal Eating Disorders Assessment Project research consortium for veterans

Introduction Military service members must maintain a certain body mass index and body fat percentage. Due to weight-loss pressures, some service members may resort to unhealthy behaviors that place them at risk for the development of an eating disorder (ED). Objectives To understand the scope and impact of EDs in military service members and veterans, we formed the Longitudinal Eating Disorders Assessment Project (LEAP) Consortium. LEAP aims to develop novel screening, assessment, classification, and treatment tools for veterans and military members with a focus on EDs and internalizing psychopathology. Methods We recruited two independent nationally representative samples of post-9/11 veterans who were separated from service within the past year. Study 1 was a four-wave longitudinal survey and Study 2 was a mixed-methods study that included surveys, structured-clinical interviews, and qualitative interviews. Results Recruitment samples were representative of the full population of recently separated veterans. Sample weights were created to adjust for sources of non-response bias to the baseline survey. Attrition was low relative to past studies of this population, with only (younger) age predicting attrition at 1-week follow-up. Conclusions We expect that the LEAP Consortium data will contribute to improved information about EDs in veterans, a serious and understudied problem

Personal exposure to fine particulate matter (PM2.5) and self-reported asthma-related health

•PM2.5 (fine particulate matter ≤2.5 μm in diameter) is a key pollutant that can produce acute asthma exacerbations and longer-term deterioration of respiratory health. Individual exposure to PM2.5 is unique and varies across microenvironments. Low-cost sensors (LCS) can collect data at a spatiotemporal resolution previously unattainable, allowing the study of exposures across microenvironments. The aim of this study is to investigate the acute effects of personal exposure to PM2.5 on self-reported asthma-related health. •Twenty-eight non-smoking adults with asthma living in Scotland collected PM2.5 personal exposure data using LCS. Measurements were made at a 2-min time resolution for a period of 7 days as participants conducted their typical daily routines. Concurrently, participants were asked to keep a detailed time-activity diary, logging their activities and microenvironments, along with hourly information on their respiratory health and medication use. Health outcomes were modelled as a function of hourly PM2.5 concentration (plus 1- and 2-h lag) using generalized mixed-effects models adjusted for temperature and relative humidity. •Personal exposures to PM2.5 varied across microenvironments, with the largest average microenvironmental exposure observed in private residences (11.5 ± 48.6 μg/m3) and lowest in the work microenvironment (2.9 ± 11.3 μg/m3). The most frequently reported asthma symptoms, wheezing, chest tightness and cough, were reported on 3.4%, 1.6% and 1.6% of participant-hours, respectively. The odds of reporting asthma symptoms increased per interquartile range (IQR) in PM2.5 exposure (odds ratio (OR) 1.29, 95% CI 1.07–1.54) for same-hour exposure. Despite this, no association was observed between reliever inhaler use (non-routine, non-exercise related) and PM2.5 exposure (OR 1.02, 95% CI 0.71–1.48). •Current air quality monitoring practices are inadequate to detect acute asthma symptom prevalence resulting from PM2.5 exposure; to detect these requires high-resolution air quality data and health information collected in situ. Personal exposure monitoring could have significant implications for asthma self-management and clinical practice