Mediators of weight loss in an internet-based intervention for African American adolescent girls

The primary aim of this study was to assess the process variables involved in a weight loss program for African-American adolescent girls. This internet-based intervention compared a behavioral treatment program to an educational treatment program; it was hypothesized that participants randomized to the behavioral condition would lose more weight at 6 months than those in the educational condition. Several process variables have been identified as affecting success in in vivo weight loss programs for adults and children, including program adherence, self-efficacy, and social support. The current study sought to broaden the understanding of these process variables as they pertain to an intervention program that is presented via the internet. It was hypothesized that variables such as program adherence, dietary self-efficacy, psychological factors, and social support factors would mediate the effect of experimental condition on weight loss. Results partially supported the hypotheses. For weight loss among adolescents, parent variables pertaining to life and family satisfaction were the strongest mediating variables. For parent weight loss, changes in dietary practices over the course of 6 months were the strongest mediators. These findings suggest that family/parental variables exert a strong influence on weight loss efforts for adolescents. Future treatment studies should emphasize the role of the family and incorporate components to address psychological well-being of other family members to facilitate success

Creation of a GIS Based Model for Determining the Suitability of Implementing Green Infrastructure: In The Town Of Berlin Maryland

This project is entitled “Incorporation of Green Infrastructure Into Comprehensive Storm Water Management and the Effective Utilization of LiDAR: In the Town of Berlin ”. The goal of this research was the creation of a Geographic Information System (GIS) based model for determining the suitability / feasibility of green infrastructure implementation, as defined by this study, within the study area. This model was only applicable for the identified elements or tools under green infrastructure as defined by this study. This enabled clear and concise definitions and more readily identified the criteria and their parameters. The scope of the model’s applicability is limited to municipal level or larger scales with the data and nature of the analysis being unsuited for site level analysis. The model was successful in determining the areas of probable suitability for green infrastructure implementation. It was found that the study area on average had a medium to high potential for green infrastructure implementation. The model and its resulting products led to implications for better incorporation of green infrastructure into planning. The model also represented an excellent tool for education of the general public on green infrastructure, its concepts, implementation, and potential for debunking myths on its drawbacks. The model also allowed easier adaptation for the municipality and for other similar communities wishing to implement comparable policies. Advisor: Yunwoo Na

Crutching cradles can work well

Crutching cradles allow successful do-it-yourself crutching if a continuous flow of sheep can be maintained. This article describes some units available and discusses costs

New approaches to object classification in synoptic sky surveys

Digital synoptic sky surveys pose several new object classification challenges. In surveys where real-time detection and classification of transient events is a science driver, there is a need for an effective elimination of instrument-related artifacts which can masquerade as transient sources in the detection pipeline, e.g., unremoved large cosmic rays, saturation trails, reflections, crosstalk artifacts, etc. We have implemented such an Artifact Filter, using a supervised neural network, for the real-time processing pipeline in the Palomar-Quest (PQ) survey. After the training phase, for each object it takes as input a set of measured morphological parameters and returns the probability of it being a real object. Despite the relatively low number of training cases for many kinds of artifacts, the overall artifact classification rate is around 90%, with no genuine transients misclassified during our real-time scans. Another question is how to assign an optimal star-galaxy classification in a multi-pass survey, where seeing and other conditions change between different epochs, potentially producing inconsistent classifications for the same object. We have implemented a star/galaxy multipass classifier that makes use of external and a priori knowledge to find the optimal classification from the individually derived ones. Both these techniques can be applied to other, similar surveys and data sets

Evaluating tree root distribution in a tree-based intercropping system with use of ground penetrating radar

Paper presented at the 13th North American Agroforesty Conference, which was held June 19-21, 2013 in Charlottetown, Prince Edward Island, Canada.In Poppy, L., Kort, J., Schroeder, B., Pollock, T., and Soolanayakanahally, R., eds. Agroforestry: Innovations in Agriculture. Proceedings, 13th North American Agroforestry Conference, Charlottetown, Prince Edward Island, Canada, June 19-21, 2013.Within agroforestry systems, tree root architecture is a driver of important ecological processes such as belowground nutrient flows and C storage. Yet the belowground component of trees remains largely under-studied due to methodological restraints. Conventional subsurface sampling can overlook the heterogeneity of root systems, while complete excavations are destructive and unrepeatable. Thus, there is a need to develop non-intrusive technologies, such as ground penetrating radar (GPR), to measure root systems in situ. In this study we used GPR to detect coarse root distributions below five tree species (Quercus rubra, Juglans nigra, Populus sp., Picea abies, and Thuja occidentalis) at a temperate tree-based intercropping site in Guelph, Ontario. GPR geo-imaged transects were collected in 4.5 _ 4.5m grids that were centered on 15 individual trees. Subsequently, tree roots were identified across all geo-images (visualized as radar signal reflections) providing 3-dimensional root distribution data for each target tree. Roots detected by GPR accounted for approximately 80% of large coarse roots (�1cm) and 40% of small coarse roots (<1cm) that were later exposed in a subset of matched soil profiles. Significant inter-specific variations of coarse rooting depth preferences were detected. Additionally, preliminary analyses indicate different tree rooting patterns below the crop rows. To determine fine root distributions, fine roots were extracted from soil cores collected from the tree root study plots. Preliminary analysis indicates fine root length densities vary across species predominately in the upper 20cm. Limitations will be identified and applications will be discussed of GPR to answer ecological questions within agroforestry systems. Notably, we will highlight results from our complementary study that used the same GPR data to effectively estimate belowground biomass.Kira A. Borden (1), Marney E. Isaac (2) and Sean C. Thomas (1) ; 1. Faculty of Forestry, University of Toronto, 33 Willcocks Street, Toronto, Ontario, Canada, M5S 3B3. 2. Department of Physical and Environmental Sciences, University of Toronto at Scarborough, 1265 Military Trail, Toronto, Ontario, Canada, M1C 1A4.Includes bibliographical references

Problematic Internet use, mental health and impulse control in an online survey of adults

Background and aims: Internet use has become a popular entertainment source and has become highly integrated into daily life. However, some people display problematic or addictive usage of the Internet. The present study attempts to fill current knowledge gaps regarding at-risk/problematic Internet use (ARPIU) and its relation to various health and functioning measures. Methods: Online survey data from 755 adults in the United States were analyzed using chi-square and ANOVAs. Results: The ARPIU group did not differ from the non-ARPIU group with respect to substance use. Individuals with ARPIU were, however, more likely to report at-risk/problematic engagement in video-game playing and gambling. Compared to the non-ARPIU group, the ARPIU group reported poorer self-control and higher levels of impulsivity and depression. Conclusions: ARPIU appears associated with other risk behaviors, particularly those that might be performed on the Internet. Future studies should examine the extent to which the Internet may promote engagement in these risk behaviors and the extent to which preventative interventions targeting better self-control or negative mood states might help a range of non-substance-related addictive behaviors

Understanding Risk Perception and Xenophobic Attitudes during the Coronavirus Disease 2019 (COVID-19) Pandemic in the United States

Introduction: There have been over 87 million cases of Coronavirus Disease 2019 (COVID-19) in the United States (US). Objective: The objective of this study was to develop a novel questionnaire to assess risk perception of COVID-19 and xenophobic attitudes among adults in the US at the beginning of the pandemic. Methods: An anonymous self-report questionnaire was developed for this study in February 2020, and was distributed using convenience sampling from March 10 to March 25, 2020. The questionnaire assessed knowledge and risk perceptions of COVID-19, as well as attitudes toward individuals of various races and ethnicities. Results: 662 US adults completed the questionnaire. On a scale from 1 (low) to 5 (high), the mean risk perception was 3.44. Those with knowledge of COVID-19 and higher education levels reported higher risk perception and higher feelings of warmth towards Asian people. Forty percent of the sample had recently witnessed or experienced anti-Asian attitudes at the time of the survey. The majority of participants reported having heard about COVID-19 from news media, social media, and family or friends. Conclusions: Our sample had a moderate level of risk perception, potentially due to the time period of data collection (i.e., early in the pandemic course). The results suggest that knowledge about COVID-19 informed perceived risk and affected willingness to engage in healthy protective behaviors. Our study provides historic context of how people perceived the virus at the beginning of the pandemic, and gives insight into the aftermaths regarding quarantine and attitudes towards Asian Americans

Development of the Physical Activity Tracking Preference Questionnaire

International Journal of Exercise Science 12(5): 297-309, 2019. The present study aims to develop the Physical Activity Tracking Preference Questionnaire (PATPQ), a measure of unit (distance, steps, calories, minutes) preference for tracking physical activity. The PATPQ was developed in two phases. During Phase One, the initial PATPQ was created (24 items), was assessed by an expert panel for face validity, and tested in 557 adults. Results were used to revise and modify the PATPQ. In Phase Two, the item pool was expanded and tested in 374 adults. Kuder‐Richardson Formula 20 scores for internal consistency and interclass correlations for test-retest reliability were calculated. Internal consistency for the final questionnaire was 0.78, 0.79, 0.89 and 0.69 for the distance, steps, calories, and minutes components, respectively. Test-retest reliability coefficients were within acceptable ranges (0.65-0.75). Overall, the PATPQ can be used to identify individual preferences for tracking physical activity to help personalize exercise programs

Hiring Criteria in Biology Departments of Academic Institutions

We surveyed faculty in the biology departments of US institutions of higher education to compare the experience and training valued by faculty at hiring institutions with the experience and training most graduate students receive. Our data show that associate, baccalaureate, and master\u27s institutions value teaching experience and skills more highly than research skills. In contrast, doctoral institutions place a higher value on the ability to publish research and obtain outside funding. These findings provide quantitative and qualitative insight into discrepancies between the values of those who train graduate students in biology and the expectations of the institutions likely to hire these individuals

Hepatic steatosis risk is partly driven by increased de novo lipogenesis following carbohydrate consumption

Background: Diet is a major contributor to metabolic disease risk, but there is controversy as to whether increased incidences of diseases such as non-alcoholic fatty liver disease arise from consumption of saturated fats or free sugars. Here, we investigate whether a sub-set of triacylglycerols (TAGs) were associated with hepatic steatosis and whether they arise from de novo lipogenesis (DNL) from the consumption of carbohydrates. Results: We conduct direct infusion mass spectrometry of lipids in plasma to study the association between specific TAGs and hepatic steatosis assessed by ultrasound and fatty liver index in volunteers from the UK-based Fenland Study and evaluate clustering of TAGs in the National Survey of Health and Development UK cohort. We find that TAGs containing saturated and monounsaturated fatty acids with 16-18 carbons are specifically associated with hepatic steatosis. These TAGs are additionally associated with higher consumption of carbohydrate and saturated fat, hepatic steatosis, and variations in the gene for protein phosphatase 1, regulatory subunit 3b (PPP1R3B), which in part regulates glycogen synthesis. DNL is measured in hyperphagic ob/ob mice, mice on a western diet (high in fat and free sugar) and in healthy humans using stable isotope techniques following high carbohydrate meals, demonstrating the rate of DNL correlates with increased synthesis of this cluster of TAGs. Furthermore, these TAGs are increased in plasma from patients with biopsy-confirmed steatosis. Conclusion: A subset of TAGs is associated with hepatic steatosis, even when correcting for common confounding factors. We suggest that hepatic steatosis risk in western populations is in part driven by increased DNL following carbohydrate rich meals in addition to the consumption of saturated fat