USE OF LIDAR-DERIVED TERRAIN AND VEGETATION INFORMATION IN A DECIDUOUS FOREST IN KENTUCKY

The use of Light Detection and Ranging (LiDAR) information is gaining popularity, however its use has been limited in deciduous forests. This thesis describes two studies using LiDAR data in an Eastern Kentucky deciduous forest. The first study quantifies vertical error of LiDAR derived digital elevation models (DEMs) which describe the forests terrain. The study uses a new method which eliminates Global Positioning System (GPS) error. The study found that slope and slope variability both significantly affect DEM error and should be taken in to account when using LiDAR derived DEMs. The second study uses LiDAR derived forest vegetation and terrain metrics to predict terrestrial Plethodontid salamander abundance across the forest. This study used night time visual encounter surveys coupled with zero-inflation modeling to predict salamander abundance based on environmental covariates. We focused on two salamander species, Plethodon glutinosus and Plethodon kentucki. Our methods produced two different best fit models for the two species. Plethodon glutinosus included vegetation height standard deviation and water flow accumulation covariates, while Plethodon kentucki included only canopy cover as a covariate. These methods are applicable to many different species and can be very useful for focusing management efforts and understanding species distributions across the landscape

The Rich Get Richer: Enabling Conditions for Knowledge Use in Organizational Work Teams

Individuals on the periphery of organizational knowledge sharing networks, due to inexperience, location, or lack of social capital, may struggle to access useful knowledge at work. An electronic knowledge repository (KR) has the potential to help peripheral individuals gain access to valuable knowledge because a KR is universally and constantly available and can be used without social interaction. However, for it to serve this equalizing function, those on the periphery of the organization must actually use it, possibly overcoming barriers to doing so. In this paper, we develop a multi-level model of knowledge use in teams and show that individuals whose experience and position already provide them access to vital knowledge use a KR more frequently than individuals on the organizational periphery. We argue that this occurs because the KR – despite its appearance of equivalent accessibility to all – is actually more accessible to central than peripheral players due to their greater experience and access to colleagues. Thus, KR use is not driven primarily by the need to overcome limited access to other knowledge sources. Rather KR use is enabled when actors know how to reap value from the KR, which ironically improves with increasing access to other sources of knowledge. Implications for both team effectiveness and knowledge management research are offered. We conclude that KRs are unlikely to serve as a knowledge equalizer without intervention

Materials Compatibility of HVACR System Materials with Low GWP Refrigerants

When assessing the suitability of next generation refrigerants for use with current HVACR system materials, two areas of concern need to be thoroughly investigated and understood: 1) chemical stability of the fluids when exposed to system materials under the anticipated conditions of use, and 2) compatibility of the system materials when in contact with the fluids. This paper will summarize materials compatibility evaluations of unsaturated hydrofluorocarbon (HFO) refrigerants, and HFO refrigerants blended with R-32, that were conducted to better understand potential equipment reliability risks associated with the use of next generation low global warming potential (GWP) refrigerant candidates. This paper summarizes results of laboratory measurements of the physical and functional changes of elastomeric and polymeric materials, and hermetic compressor motor materials, as a consequence of accelerated fluid exposures

State of the Science: Implicit Bias Review 2015

This annual review tracks the latest research in the growing field of implicit bias. In addition to trends in the public domain and scholarly realm, the publication provides a detailed discussion of new 2014 literature in the areas of criminal justice, health and health care, employment, education, and housing, as well as the latest ideas for debiasing

Does Automated Unit Test Generation Really Help Software Testers? A Controlled Empirical Study

Work on automated test generation has produced several tools capable of generating test data which achieves high structural coverage over a program. In the absence of a specification, developers are expected to manually construct or verify the test oracle for each test input. Nevertheless, it is assumed that these generated tests ease the task of testing for the developer, as testing is reduced to checking the results of tests. While this assumption has persisted for decades, there has been no conclusive evidence to date confirming it. However, the limited adoption in industry indicates this assumption may not be correct, and calls into question the practical value of test generation tools. To investigate this issue, we performed two controlled experiments comparing a total of 97 subjects split between writing tests manually and writing tests with the aid of an automated unit test generation tool, EvoSuite. We found that, on one hand, tool support leads to clear improvements in commonly applied quality metrics such as code coverage (up to 300% increase). However, on the other hand, there was no measurable improvement in the number of bugs actually found by developers. Our results not only cast some doubt on how the research community evaluates test generation tools, but also point to improvements and future work necessary before automated test generation tools will be widely adopted by practitioners

Effect of montelukast on platelet activating factor- and tachykinin induced mucus secretion in the rat

Background: Platelet activating factor and tachykinins (substance P, neurokinin A, neurokinin B) are important mediators contributing to increased airway secretion in the context of different types of respiratory diseases including acute and chronic asthma. Leukotriene receptor antagonists are recommended as add-on therapy for this disease. The cys-leukotriene-1 receptor antagonist montelukast has been used in clinical asthma therapy during the last years. Besides its inhibitory action on bronchoconstriction, only little is known about its effects on airway secretions. Therefore, the aim of this study was to evaluate the effects of montelukast on platelet activating factor- and tachykinin induced tracheal secretory activity. Methods: The effects of montelukast on platelet activating factor- and tachykinin induced tracheal secretory activity in the rat were assessed by quantification of secreted 35SO4 labelled mucus macromolecules using the modified Ussing chamber technique. Results: Platelet activating factor potently stimulated airway secretion, which was completely inhibited by the platelet activating factor receptor antagonist WEB 2086 and montelukast. In contrast, montelukast had no effect on tachykinin induced tracheal secretory activity. Conclusion: Cys-leukotriene-1 receptor antagonism by montelukast reverses the secretagogue properties of platelet activating factor to the same degree as the specific platelet activating factor antagonist WEB 2086 but has no influence on treacheal secretion elicited by tachykinins. These results suggest a role of montelukast in the signal transduction pathway of platelet activating factor induced secretory activity of the airways and may further explain the beneficial properties of cys-leukotriene-1 receptor antagonists

Restorative effects of exposure to nature on children and adolescents: a systematic review

One of the most documented effects of exposure to nature is physical and psychological restoration. Restoration refers to the recovery or strengthening of adaptive resources (e.g., attentional capabilities, positive emotions, etc.) that are being spent in meeting the demands of everyday life. The restorative process has been widely studied in adults, but less is known about the restorative effects that exposure to nature has for children and adolescents. To fill this gap in the literature, we conducted a systematic review aiming at systematically summarizing the accumulated evidence about the restorative effects of nature exposure on children and adolescents and reporting the main findings in terms of the restoration of (1) cognitive, (2) emotional, (3) social or (4) behavioural resources. To conduct the study, we followed the PRISMA procedure. Databases were extracted from Web of Science, PUBMED, and SCOPUS. Studies were selected if (a) they included non-adult participants, (b) they included empirical results at least for one of the four selected variables, (c) the study was published in English and (d) the study had been peer-reviewed. According to these criteria, 30 studies were finally selected. Selected studies were categorized in terms of sample size, duration of the intervention (if applicable), and quality of the study (following the National Heart, Lung, and Blood Institute assessment tool). Results show that exposure to nature has significant restorative effects, but the effects differ across the selected variables. Due to methodological limitations, such as a lack of measurement standardization, and the scarcity of experimental and longitudinal studies, caution should be exercised when interpreting the available results. Suggestions for future lines of research in this area are providedThis work was supported by the Spanish Ministry of Science, Innovation and Universities (grant number: PGC2018-095502-B-I00

The Impact of Time at Work and Time off From Work on Rule Compliance: The Case of Hand Hygiene in Healthcare

To deliver high-quality, reliable, and consistent services safely, organizations develop professional standards. Despite the communication and reinforcement of these standards, they are often not followed consistently. Although previous research suggests that high job demands are associated with declines in compliance over lengthy intervals, we hypothesized—drawing on theoretical arguments focused on fatigue and depletion—that the impact of job demands on routine compliance with professional standards might accumulate much more quickly. To test this hypothesis, we studied a problem that represents one of the most significant compliance challenges in health care today: hand hygiene. Using longitudinal field observations of over 4,157 caregivers working in 35 different hospitals and experiencing more than 13.7 million hand hygiene opportunities, we found that hand hygiene compliance rates dropped by a regression-estimated 8.7 percentage points on average from the beginning to the end of a typical 12-hr work shift. This decline in compliance was magnified by increased work intensity. Further, longer breaks between work shifts increased subsequent compliance rates, and such benefits were greater for individuals when they had ended their preceding shift with a lower compliance rate. In addition, (a) the decline in compliance over the course of a work shift and (b) the improvement in compliance following a longer break increased as individuals accumulated more total work hours the preceding week. The implications of these findings for patient safety and job design are discussed

Improvement of Fatal Crash Analysis and Follow-Up

Executive Summary Fatalities resulting from traffic crashes in Kentucky increased from a low of 638 in 2013 to 834 in 2016 (a 31% increase), and there is not a full understanding of the underlying causes for this trend. This study analyzes fatal crashes using data from both Kentucky’s crash reports and the National Highway Traffic Safety Administration’s (NHTSA) Fatal Accident Reporting System (FARS) to identify countermeasures to combat increasing fatal crash rates. In addition, this study compares Kentucky’s crash reports to the fatal crash data in FARS to identify data inconsistencies and recommend procedures to eliminate these inconsistencies. Emphasis was placed on fatal crashes involving alcohol and drugs because police-reported crash data in Kentucky do not clearly represent the magnitude of alcohol- and drug-related fatal crashes. More detailed analysis of fatal crashes involving alcohol and drugs provides an understanding of the patterns of impaired drivers in terms of their overall characteristics, crash locations, time of day, types of drugs, and other identifying factors that affect patterns and behavior. The study identified crashes involving mature drivers (65+) and lane departure crashes as fatal crash types with the greatest increases since 2013. Pedestrian, motorcycle, intersection, and impairment-related fatal crashes also demonstrated increasing fatal crash rates in 2016. Analysis of restraint use showed that almost 54% of the fatally injured people in 2016 were not wearing a seatbelt when one was available to them. Of those fatally injured in a motorcycle crash, nearly 72% were not wearing a helmet. Based on FARS data, there were 160 fatal crashes in Kentucky in which a driver tested positive for alcohol and 266 fatal crashes where a driver tested positive for at least one drug. The drugs most frequently found in drivers were tetrahydrocannabinol (THC), hydrocodone, and Xanax. In general, fatal crash frequency spiked during the morning and afternoon peak hour periods, with fatalities occurring more frequently between 11 am and 11 pm. The percent of potentially impaired (alcohol- and drug-involved) fatal crashes increased between 5 pm and 4 am from around 40% to a peak of 81% at 4 am. Eastern Kentucky was identified as a region with high fatal crash rates and potentially impaired fatal crash rates. Both Ballard and Union Counties in Western Kentucky showed high fatality and potentially impaired fatality rates as well. Comparisons between the FARS database and Kentucky’s crash reports revealed inconsistencies between the date, time, location, injury severity, and impairment indications in the two databases. Recommendations stemming from this study were divided into four categories: enforcement, legislation/licensing, public involvement, and data collection. The recommendations are aimed at reducing crash fatalities, improving crash data collection, and improving consistency between Kentucky’s crash reports and the national FARS database

Analysis of Traffic Crash Data in Kentucky 2015-2019

Executive Summary and Introduction This report documents an analysis of traffic crash data in Kentucky. A primary objective of this study was to determine average crash statistics for Kentucky highways. Where used, rates were calculated for various types of highways and for counties and cities. Difference criteria were used for exposure. Average and critical numbers, SPFs, and rates of crashes were calculated for various types of highways in rural and urban areas. These use crashes identified on highways where Annual Average Daily Traffic (AADT) volumes were available. The data in this report may be used to help identify problem areas. The other primary objective of this study was to provide data that can be used in the preparation of the problem identification portion of Kentucky’s Annual Highway Safety Plan (HSP). Crash statistics were analyzed and a summary of results and recommendations in several problem identification areas is presented. These general areas include; alcohol involvement, occupant protection, speed, teenage drivers, pedestrians, bicycles, motorcycles, trucks, and vehicle defects. Other areas included in the analysis for which specific recommendations were not made include, school bus crashes and train crashes. The crash data are stored in the Collision Report Analysis for Safer Highways (CRASH) database. This database is updated daily so the number of crashes in a given calendar year will continue to change for a substantial time after the end of that year. KTC captures an extract annually for analysis. Annual reports have previously been prepared since 1978 dealing with the calculation of statewide traffic crash rates for Kentucky and preparation of the problem identification portion of Kentucky’s Annual Highway Safety Plan. Traffic crash data for a five-year period were used in the preparation of this report. Kentucky has a systematic procedure to identify locations that have had abnormal rates or numbers of traffic crashes. However, before that procedure may be utilized, average crash rates and numbers must be determined for appropriate highway categories and for rural and urban areas. A primary objective of this study was to determine average traffic crash statistics for Kentucky. Those statistics may then be used in the high-crash location identification program to identify locations that should be investigated to determine whether changes should be made. A highway safety program is prepared each year for Kentucky in order to comply with Section 402, Title 23 of the United States Code. This program includes the identification, programming, budgeting, and evaluation of safety projects with the objective of reducing the number and severity of traffic crashes. The second major objective of this report is to provide data that may be included as the problem identification portion of Kentucky’s Annual Highway Safety Plan. Results from this report are used to provide benchmark data for that process