920 resultados para measurement techniques of Aerosoles
Resumo:
Physician training has greatly benefitted from insights gained in understanding the manner in which experts search medical images for abnormalities. The aims of this study were to compare the search patterns of 30 fourth-year dental students and 15 certified oral and maxillofacial radiologists (OMRs) over panoramic images and to determine the most robust variables for future studies involving image visualization. Eye tracking was used to capture the eye movement patterns of both subject groups when examining 20 panoramic images classified as normal or abnormal. Abnormal images were further subclassified as having an obvious, intermediate, or subtle abnormality. The images were presented in random order to each participant, and data were collected on duration of the participants’ observations and total distance tracked, time to first eye fixation, and total duration and numbers of fixations on and off the area of interest (AOI). The results showed that the OMRs covered greater distances than the dental students (p<0.001) for normal images. For images of pathosis, the OMRs required less total time (p<0.001), made fewer eye fixations (p<0.01) with fewer saccades (p<0.001) than the students, and required less time before making the first fixation on the AOI (p<0.01). Furthermore, the OMRs covered less distance (p<0.001) than the dental students for obvious pathoses. For investigations of images of pathosis, time to first fixation is a robust parameter in predicting ability. For images with different levels of subtlety of pathoses, the number of fixations, total time spent, and numbers of revisits are important parameters to analyze when comparing observer groups with different levels of experience.
Resumo:
O presente trabalho consiste na caracterização física e química da pólvora. Esta caracterização foi realizada para alguns tipos de pólvora, com o objetivo de se poder empregar este tipo de material noutros âmbitos, que não seja só nas Forças Armadas, nomeadamente, no armamento. A caracterização física abrangeu, essencialmente, a caracterização morfológica das amostras tal-qual, nomeadamente, as pólvoras multi-perfurada, tubular, tubular (rocket), cilíndrica, esférica, lamelar, em fita e a pólvora negra. A técnica utilizada foi a observação através de uma lupa estereoscópica. Após a combustão, foi utilizado o microscópio eletrónico de varrimento. A caracterização química foi realizada no âmbito da análise química elementar, e também no âmbito da combustão, às condições atmosféricas. Na análise química elementar, foram estudadas a pólvora multiperfurada, tubular, tubular rocket e em fita, por intermédio da espectrometria de fluorescência de raios-X - dispersão de energia e por espectrometria de absorção atómica de chama. No âmbito da combustão, foram estudas a taxa de queima e a velocidade de propagação de chama, nas amostras de pólvora multi-perfurada e a pólvora de fita, através de técnicas de medição de massa e de visualização de chama. Na discussão de resultados constatou-se que a maioria dos tipos de pólvora estudados pertencem ao grupo dos propelentes de base dupla. Apesar da variabilidade entre amostras, verificou-se que o principal elemento comum é o chumbo. Quanto à taxa de queima, esta apresenta uma evolução aproximadamente linear em todas as amostras. Foi, ainda, apresentada uma velocidade de propagação de chama característica para os dois tipos de pólvora estudados, tendo sido estabelecida para a pólvora multi-perfurada uma velocidade SR = 1,1 mm/s, para em fita, SR = 6,0 mm/s.
Resumo:
Physician training has greatly benefitted from insights gained in understanding the manner in which experts search medical images for abnormalities. The aims of this study were to compare the search patterns of 30 fourth-year dental students and 15 certified oral and maxillofacial radiologists (OMRs) over panoramic images and to determine the most robust variables for future studies involving image visualization. Eye tracking was used to capture the eye movement patterns of both subject groups when examining 20 panoramic images classified as normal or abnormal. Abnormal images were further subclassified as having an obvious, intermediate, or subtle abnormality. The images were presented in random order to each participant, and data were collected on duration of the participants’ observations and total distance tracked, time to first eye fixation, and total duration and numbers of fixations on and off the area of interest (AOI). The results showed that the OMRs covered greater distances than the dental students (p<0.001) for normal images. For images of pathosis, the OMRs required less total time (p<0.001), made fewer eye fixations (p<0.01) with fewer saccades (p<0.001) than the students, and required less time before making the first fixation on the AOI (p<0.01). Furthermore, the OMRs covered less distance (p<0.001) than the dental students for obvious pathoses. For investigations of images of pathosis, time to first fixation is a robust parameter in predicting ability. For images with different levels of subtlety of pathoses, the number of fixations, total time spent, and numbers of revisits are important parameters to analyze when comparing observer groups with different levels of experience.
Total Sky Imager observations during POLARSTERN cruise ANT-XXIV/1 on 2007-10-29 with links to images
Total Sky Imager observations during POLARSTERN cruise ANT-XXIV/1 on 2007-10-30 with links to images
Total Sky Imager observations during POLARSTERN cruise ANT-XXIV/1 on 2007-10-31 with links to images
Total Sky Imager observations during POLARSTERN cruise ANT-XXIV/1 on 2007-11-02 with links to images
Total Sky Imager observations during POLARSTERN cruise ANT-XXIV/1 on 2007-11-05 with links to images
Total Sky Imager observations during POLARSTERN cruise ANT-XXIV/1 on 2007-11-04 with links to images
Total Sky Imager observations during POLARSTERN cruise ANT-XXIV/1 on 2007-11-06 with links to images
Total Sky Imager observations during POLARSTERN cruise ANT-XXIV/1 on 2007-11-08 with links to images