Color Image Processing and Object Tracking System

This report describes a personal computer based system for automatic and semiautomatic tracking of objects on film or video tape, developed to meet the needs of the Microgravity Combustion and Fluids Science Research Programs at the NASA Lewis Research Center. The system consists of individual hardware components working under computer control to achieve a high degree of automation. The most important hardware components include 16-mm and 35-mm film transports, a high resolution digital camera mounted on a x-y-z micro-positioning stage, an S-VHS tapedeck, an Hi8 tapedeck, video laserdisk, and a framegrabber. All of the image input devices are remotely controlled by a computer. Software was developed to integrate the overall operation of the system including device frame incrementation, grabbing of image frames, image processing of the object's neighborhood, locating the position of the object being tracked, and storing the coordinates in a file. This process is performed repeatedly until the last frame is reached. Several different tracking methods are supported. To illustrate the process, two representative applications of the system are described. These applications represent typical uses of the system and include tracking the propagation of a flame front and tracking the movement of a liquid-gas interface with extremely poor visibility

(A Cooperative Organization Sponsored Jointly by the

(The opinions, findings, and conclusions expressed in this report are those of the authors and not necessarily those of the sponsoring agencies.

Association between Parkinson’s Disease and Cigarette Smoking, Rural Living, Well-Water Consumption, Farming and Pesticide Use: Systematic Review and Meta-Analysis

<div><p>Objective</p><p>Bradford Hill’s viewpoints were used to conduct a weight-of-the-evidence assessment of the association between Parkinson’s disease (PD) and rural living, farming and pesticide use. The results were compared with an assessment based upon meta-analysis. For comparison, we also evaluated the association between PD and cigarette smoking as a “positive control” because a strong inverse association has been described consistently in the literature.</p><p>Methods</p><p>PubMed was searched systematically to identify all published epidemiological studies that evaluated associations between Parkinson’s disease (PD) and cigarette smoking, rural living, well-water consumption, farming and the use of pesticides, herbicides, insecticides, fungicides or paraquat. Studies were categorized into two study quality groups (Tier 1 or Tier 2); data were abstracted and a forest plot of relative risks (RRs) was developed for each risk factor. In addition, when available, RRs were tabulated for more highly exposed individuals compared with the unexposed. Summary RRs for each risk factor were calculated by meta-analysis of Tier 1, Tier 2 and all studies combined, with sensitivity analyses stratified by other study characteristics. Indices of between-study heterogeneity and evidence of reporting bias were assessed. Bradford Hill’s viewpoints were used to determine if a causal relationship between PD and each risk factor was supported by the weight of the evidence.</p><p>Findings</p><p>There was a consistent inverse (negative) association between current cigarette smoking and PD risk. In contrast, associations between PD and rural living, well-water consumption, farming and the use of pesticides, herbicides, insecticides, fungicides or paraquat were less consistent when assessed quantitatively or qualitatively.</p><p>Conclusion</p><p>The weight of the evidence and meta-analysis support the conclusion that there is a causal relationship between PD risk and cigarette smoking, or some unknown factor correlated with cigarette smoking. There may be risk factors associated with rural living, farming, pesticide use or well-water consumption that are causally related to PD, but the studies to date have not identified such factors. To overcome the limitations of research in this area, future studies will have to better characterize the onset of PD and its relationship to rural living, farming and exposure to pesticides.</p></div

Conclusions from published systematic reviews and meta-analyses of epidemiology studies on Parkinson’s disease.

<p>Conclusions from published systematic reviews and meta-analyses of epidemiology studies on Parkinson’s disease.</p

Association between rural living and Parkinson’s disease.

<p>The natural logarithm of the estimated relative risk [ln(RR)] and the 95% confidence interval for each study are displayed (see the legend for <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.g001" target="_blank">Fig 1</a> for instructions on how to interpret forest plots). RR = relative risk, LCL = lower limit of the 95% confidence interval, UCL = upper limit of the 95% confidence interval. Citations for studies appearing in this figure can be found here: [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref054" target="_blank">54</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref056" target="_blank">56</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref058" target="_blank">58</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref059" target="_blank">59</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref064" target="_blank">64</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref076" target="_blank">76</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref098" target="_blank">98</a>–<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref100" target="_blank">100</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref102" target="_blank">102</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref104" target="_blank">104</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref114" target="_blank">114</a>–<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref130" target="_blank">130</a>].</p

Topics in Survivable Systems

This report is a compendium of papers written by students who attended the course

Association between ever use (Panel a) or high use (Panel b) of paraquat and Parkinson’s disease.

<p>The natural logarithm of the estimated relative risk [ln(RR)] and the 95% confidence interval for each study are displayed (see the legend for <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.g001" target="_blank">Fig 1</a> for instructions on how to interpret forest plots). An asterisk (*) denotes RR estimates that are not included in the meta-analysis due to study overlap with another RR estimate shown in the figure. RR = relative risk, LCL = lower limit of the 95% confidence interval, UCL = upper limit of the 95% confidence interval. Citations for studies appearing in this figure can be found here: [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref018" target="_blank">18</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref055" target="_blank">55</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref057" target="_blank">57</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref059" target="_blank">59</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref068" target="_blank">68</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref069" target="_blank">69</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref081" target="_blank">81</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref092" target="_blank">92</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref114" target="_blank">114</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref132" target="_blank">132</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref135" target="_blank">135</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref154" target="_blank">154</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref156" target="_blank">156</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref160" target="_blank">160</a>–<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref165" target="_blank">165</a>].</p

Association between high herbicide (Panel a), high fungicide (Panel b) or high insecticide use (Panel c) and Parkinson’s disease.

<p>The natural logarithm of the estimated relative risk [ln(RR)] and the 95% confidence interval for each study are displayed (see the legend for <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.g001" target="_blank">Fig 1</a> for instructions on how to interpret forest plots). RR = relative risk, LCL = lower limit of the 95% confidence interval, UCL = upper limit of the 95% confidence interval. Citations for studies appearing in this figure can be found here: [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref055" target="_blank">55</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref081" target="_blank">81</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref098" target="_blank">98</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref115" target="_blank">115</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref121" target="_blank">121</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref130" target="_blank">130</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref135" target="_blank">135</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref143" target="_blank">143</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151841#pone.0151841.ref150" target="_blank">150</a>].</p

Heterogeneity estimates for each risk factor based on between-study variance (τ²) among Tier 1, Tier 2 or Tiers 1&2 studies combined.

<p>Heterogeneity estimates for each risk factor based on between-study variance (τ²) among Tier 1, Tier 2 or Tiers 1&2 studies combined.</p