Utilizing data-driven technology tools for community-led solutions to vacant properties and urban blight

As a city that has lost more than 1/3 of its population over the past 6 decades, some Baltimore neighborhoods suffer from a disproportionate number of vacant and abandoned properties, mired in issues of unclear ownership and “under-water” lien burdens. Cloudy legal and financial restrictions cause properties to cycle through a speculative system that strips them of all equity, and causes them to move out of reach for redevelopment. Evidence suggests that existing processes for addressing these issues, such as tax lien sales and foreclosures, can actually play a role in increasing vacancy rates and amplify neighborhood disinvestment (Dewar, Seymour, and Druță, 2015). Policies aimed at real property tax reform and foreclosure prevention can improve conditions, yet communities, non-profits, and city agencies in Baltimore lacked a unified data system to guide their reform and outreach efforts. One challenge is that property data are housed at various agencies, each using its own system of data storage and dissemination, making it difficult to use different datasets for a single property. The Baltimore City Open Land Data (BOLD) web application arose out of the need to streamline the data gathering process by integrating various datasets for easier use by stakeholders working to stabilize their communities, preserve homeownership, and break the cycle of vacant properties. This presentation will give an overview how BOLD was designed, a short demonstration of the application, and show how it can be used to further research the impact of tax sales and foreclosures in Baltimore City

First-Year GPA and Academic Service Use Among College Students With and Without ADHD

Objective: ADHD is a chronic neurodevelopmental disorder that typically results in persistent academic difficulties over time. Although most colleges offer support services, students often do not use the available services or those to which they are entitled. The present study examined predictors of academic performance among college students with and without ADHD. In addition, the rate, predictors, and outcomes of academic service use were explored. Methods: A series of multivariate analyses of variance (MANOVAs) and regression analyses were conducted using SPSS v. 21 ® software. Results: First year college students with ADHD earned significantly lower grade point averages (GPAs) relative to students without ADHD. Additionally, ADHD combined with other disorders, but not ADHD alone, predicted higher rates of service use relative to students without ADHD. Finally, the findings suggest that typically available academic services are not independently related to GPA among first-year college students with or without ADHD. Conclusion: This study replicates previous work demonstrating significantly lower GPAs among a rigorously defined sample of students with ADHD relative to students without ADHD. Second, this study indicates that traditional predictors of college success may be less meaningful for students with ADHD relative to those without ADHD. Finally, additional research needs to be conducted regarding the use and effectiveness of academic services on college campuses

The risk, burden, and management of non-communicable diseases in cerebral palsy: a scoping review.

AIM: To examine the risk, burden, and management of non-communicable diseases (NCDs) among people with cerebral palsy (CP). METHOD: Databases (Ovid MEDLINE, Embase Ovid, CINAHL Plus) were systematically searched up to August 2017. Data on the prevalence of risk factors for, and the burden and management of, cardiovascular diseases, diabetes, cancers, and respiratory diseases were extracted. RESULTS: Thirty-six studies that examined the prevalence of risk factors among people with CP were identified. There was inconsistent evidence that people with CP had higher prevalence of metabolic risk factors such as hypertension, hyperlipidaemia, and obesity, but strong evidence that they participated in low levels of physical activity, compared with people without CP. Seven studies reported on the burden of NCDs. Adults with CP had a higher risk of NCDs, including stroke, chronic obstructive pulmonary disease, and other heart conditions, and death due to NCDs, including cancers, chronic obstructive pulmonary disease, stroke, and ischaemic heart disease, compared with the general population. Only one study reported on the management of NCD, specifically the uptake of breast cancer screening among females. INTERPRETATION: The burden of NCDs is higher among adults with CP compared with the general population. Further research is required to determine the prevalence of metabolic risk factors and management of NCDs among people with CP. WHAT THIS PAPER ADDS: Adults with cerebral palsy (CP) have an increased risk of non-communicable diseases (NCDs) and increased risk of death because of NCDs. Evidence is inconsistent about the elevated prevalence of metabolic risk factors for NCDs. Evidence is consistent that people with CP participate in reduced physical activity. Only one study reported on management of NCD among people with CP. Available evidence suggests people with CP are less likely to receive preventive medicine

Usefulness of mid-infrared spectroscopy as a tool to estimate body condition score change from milk samples in intensively-fed dairy cows.

Directly measuring individual cow energy balance is not trivial. Other traits, like body condition score (BCS) and BCS change (ΔBCS) can, however, be used as an indicator of cow energy status. Body condition score is a metric used world-wide to estimate cow body reserves and the estimation of ΔBCS was, until now, conditional on the availability of multiple BCS assessments. The aim of the present study was to estimate ΔBCS from milk mid-infrared (MIR) spectra and days in milk (DIM) in intensively-fed dairy cows using statistical prediction methods. Daily BCS was interpolated from cubic splines fitted through the BCS records and daily ΔBCS was calculated from these splines. Body condition score change records were merged with milk MIR spectra recorded on the same week. The data set comprised 37,077 ΔBCS phenotypes across 9,403 lactations from 6,988 cows in 151 herds based in Quebec (Canada). Partial least squares regression (PLSR) and a neural network (NN) were then used to estimate ΔBCS from 1) MIR spectra only, 2) DIM only, or 3) MIR spectra and DIM together. ΔBCS data in both the first 120 DIM and 305 DIM of lactation were used to develop the estimates. Daily ΔBCS had a standard deviation of 4.40*10-3 BCS units in the 120-d data set and of 3.63*10-3 BCS units in the 305-d data set. 4-fold cross-validation was used to calibrate and test the prediction equations. External validation was also conducted using more recent years of data. Irrespective of whether based on the first 120 or 305 DIM, or when MIR spectra only, DIM only or MIR spectra and DIM were jointly used as prediction variables, NN produced the lowest root mean square error (RMSE) of cross-validation (1.81*10-3 BCS units and 1.51*10-3 BCS units, respectively, using the 120-d and 305-d data set). Relative to predictions for the entire 305 DIM, the RMSE of cross-validation was 15.4% and 1.5% lower in the first 120 DIM when using PLSR and NN, respectively. Predictions from DIM only were more accurate than those using just MIR spectra data but, irrespective of the data set and of the prediction model used, the combining DIM information with MIR spectral data as prediction variables reduced the RMSE compared with inclusion of DIM alone, albeit the benefit was small (the RMSE from cross-validation was reduced up to 5.5% when DIM and spectral data were jointly used as model features instead of DIM only). However, when predicting extreme ΔBCS records, the MIR spectral data was more informative than DIM. Model performance when predicting ΔBCS records in future years was similar to that from cross-validation demonstrating the ability of MIR spectra of milk and DIM combined to estimate ΔBCS, particularly in early lactation. This can be used to routinely generate estimates of ΔBCS to aid in day-to-day individual cow management

Some Current Trends of Tanning in Kansas: Using Google Maps and Behavioral Economics to Explore Travel Based Interventions

This presentation was given as part of the GIS Day@KU symposium on November 18, 2015. For more information about GIS Day@KU activities, please see http://www.gis.ku.edu/gisday/2015/.Platinum Sponsors: KU Department of Geography and Atmospheric Science; KU School of Business. Gold Sponsors: Bartlett & West; Kansas Biological Survey; KU Environmental Studies Program; KU Institute for Policy & Social Research; KU Libraries. Silver Sponsors: State of Kansas Data Access and Support Center (DASC). Bronze Sponsors: KU Center for Remote Sensing of Ice Sheets (CReSIS); TREKK Design Group, LLC; Wilson & Company, Engineers and Architects

Expanding the role of participatory mapping to assess ecosystem service provision in local coastal environments

There has been increasing international effort to better understand the diversity and quality of marine natural capital, ecosystem services and their associated societal benefits. However, there is an evidence gap as to how these benefits are identified at the local scale, where benefits are provided and to whom, trade-offs in development decisions, and understanding how benefits support well-being. Often the benefits of conservation are poorly understood at the local scale, are not effectively integrated into policy and are rarely included meaningfully in public discourse. This paper addresses this disjuncture and responds to the demand for improving dialogue with local communities and stakeholders. Participatory GIS mapping is used as a direct means of co-producing knowledge with stakeholder and community interests. This paper drives a shift from development of participatory approaches to adaptive applications in real-world case studies of local, national and international policy relevance. The results from four sites along the UK North Sea coast are presented. This paper showcases a robust stakeholder-driven approach that can be used to inform marine planning, conservation management and coastal development. Although the demonstration sites are UK-focused, the methodology presented is of global significance and can be applied across spatial and temporal scales