This research was to observe patients,who underwent orthodontic tooth alignment correction with dental brackets,for the purpose of early detection of white spots(early satge of caries)and dynamic measurement of distan...This research was to observe patients,who underwent orthodontic tooth alignment correction with dental brackets,for the purpose of early detection of white spots(early satge of caries)and dynamic measurement of distance between teeth edges based on the digital photographs taken with a smartphone Sony Xperia S.Color reading was realized taking into account the adjustment of color features of a standard ceramic surface(tile)that was selected during the dental brackets installation period,the photo of which was taken simultaneously during the dynamic observation period.The color scale RGB was transformed into CIE L*a*b scale of color measurement with regard to the correction of RGB components of image by usage of correction coefficient for calibration tile surface RGB characteristics.The expert appraisal showed sensitivity of proposed method was between 88.7%and 96.2%(the mean 93.1%)and specificity between 68.4%and 84.2%(the mean 75.4%).The positive predictive value was between 89.5%and94.0%(the mean 91.5%);and the negative predictive value was between 72.7%and 86.7%(the mean 80.6%).The measurement of the distance between teeth edges during the first 10 days following the brackets installation was carried out using a self-scalable ruler that was calibrated,according to the standard sizes of the dental bracket system components.The Android application of self-scalable ruler was developed using Java.The development of a pronounced pain syndrome was observed when the velocity of distance changes between teeth edges was rather high-0.051+0.004 mm/day.The improvement of efficiency of the suggested method is expected due to application of illumination standards during the shooting period.展开更多
ENVISAT/MERIS scenes of Lake Guiers covering the period 2003-2010 were processed for concentration retrieval of chlorophyll a (CHLa), suspended particulate matter (SPM) and colored fraction of dissolved organic matter...ENVISAT/MERIS scenes of Lake Guiers covering the period 2003-2010 were processed for concentration retrieval of chlorophyll a (CHLa), suspended particulate matter (SPM) and colored fraction of dissolved organic matter (CDOM), i.e. the three main parameters relevant to the water quality management of the lake. Estimates in the range of 30 - 117 μg CHLa L<sup>-1</sup> (average 62.13 μg·L<sup>-1</sup>), 0.10 - 29.0 mg SPM L<sup>-1</sup> (average 22.01 mg·L<sup>-1</sup>), and 1.10 - 1.90 CDOM m<sup>-1</sup> (average 1.33 m<sup>-1</sup>) were recorded, suggesting the possibility of occasional poor quality waters in some compartments of the lake. The values calculated as part of this study are consistent with literature data. On the basis of these estimates, interpretations were made as to the feasibility of applying MERIS data for synoptic environmental monitoring purposes. The data were subjected to statistical analysis, including regression analysis and significance tests. Estimates of CHLa and CDOM revealed some level of correlation, which suggests that phytoplankton biomass degradation may account for nearly 47% of the dissolved optical compounds CDOM. Notable areas of high CHLa and CDOM concentrations are found in the southern inshore zone, an environment with less water agitation. In contrast, SPM concentrations tend to increase in environments of very shallow water marked by high water turbulence and bottom mobility. However, it was not possible to fully assess the model performance and detection accuracy of the results due to lack of ground truths. Nonetheless, the results show concentrations that compared well with the insitu data from earlier studies and data reported elsewhere from other lacustrine systems. Therefore, it can be inferred from this study that MERIS data present a useful low-cost (i.e. cost effective and readily available) approach for environmental monitoring of Lake Guiers waters with excellent spatial coverage. In addition, the study highlighted the minimal effect of the so-called “bottom effect” on model predictions, despite the small depth of the lake.展开更多
文摘This research was to observe patients,who underwent orthodontic tooth alignment correction with dental brackets,for the purpose of early detection of white spots(early satge of caries)and dynamic measurement of distance between teeth edges based on the digital photographs taken with a smartphone Sony Xperia S.Color reading was realized taking into account the adjustment of color features of a standard ceramic surface(tile)that was selected during the dental brackets installation period,the photo of which was taken simultaneously during the dynamic observation period.The color scale RGB was transformed into CIE L*a*b scale of color measurement with regard to the correction of RGB components of image by usage of correction coefficient for calibration tile surface RGB characteristics.The expert appraisal showed sensitivity of proposed method was between 88.7%and 96.2%(the mean 93.1%)and specificity between 68.4%and 84.2%(the mean 75.4%).The positive predictive value was between 89.5%and94.0%(the mean 91.5%);and the negative predictive value was between 72.7%and 86.7%(the mean 80.6%).The measurement of the distance between teeth edges during the first 10 days following the brackets installation was carried out using a self-scalable ruler that was calibrated,according to the standard sizes of the dental bracket system components.The Android application of self-scalable ruler was developed using Java.The development of a pronounced pain syndrome was observed when the velocity of distance changes between teeth edges was rather high-0.051+0.004 mm/day.The improvement of efficiency of the suggested method is expected due to application of illumination standards during the shooting period.
文摘ENVISAT/MERIS scenes of Lake Guiers covering the period 2003-2010 were processed for concentration retrieval of chlorophyll a (CHLa), suspended particulate matter (SPM) and colored fraction of dissolved organic matter (CDOM), i.e. the three main parameters relevant to the water quality management of the lake. Estimates in the range of 30 - 117 μg CHLa L<sup>-1</sup> (average 62.13 μg·L<sup>-1</sup>), 0.10 - 29.0 mg SPM L<sup>-1</sup> (average 22.01 mg·L<sup>-1</sup>), and 1.10 - 1.90 CDOM m<sup>-1</sup> (average 1.33 m<sup>-1</sup>) were recorded, suggesting the possibility of occasional poor quality waters in some compartments of the lake. The values calculated as part of this study are consistent with literature data. On the basis of these estimates, interpretations were made as to the feasibility of applying MERIS data for synoptic environmental monitoring purposes. The data were subjected to statistical analysis, including regression analysis and significance tests. Estimates of CHLa and CDOM revealed some level of correlation, which suggests that phytoplankton biomass degradation may account for nearly 47% of the dissolved optical compounds CDOM. Notable areas of high CHLa and CDOM concentrations are found in the southern inshore zone, an environment with less water agitation. In contrast, SPM concentrations tend to increase in environments of very shallow water marked by high water turbulence and bottom mobility. However, it was not possible to fully assess the model performance and detection accuracy of the results due to lack of ground truths. Nonetheless, the results show concentrations that compared well with the insitu data from earlier studies and data reported elsewhere from other lacustrine systems. Therefore, it can be inferred from this study that MERIS data present a useful low-cost (i.e. cost effective and readily available) approach for environmental monitoring of Lake Guiers waters with excellent spatial coverage. In addition, the study highlighted the minimal effect of the so-called “bottom effect” on model predictions, despite the small depth of the lake.
