Weathering grade classification of Lesser Himalayan granites, Western India

1991 ◽  
Vol 28 (6) ◽  
pp. A333
Author(s):  
D.K. Ghosh ◽  
D.D. Awasthi
Keyword(s):  
Western India ◽  
Grade Classification

Primary Pulmonary Meningioma With Rhabdoid Features

2018 ◽  
Vol 27 (4) ◽  
pp. 457-463 ◽  
Author(s):  
Rūta Žulpaitė ◽  
Žymantas Jagelavičius ◽  
Ugnius Mickys ◽  
Ričardas Janilionis
Keyword(s):  
World Health Organization ◽  
Wedge Resection ◽  
Neck Region ◽  
Disease Recurrence ◽  
World Health ◽  
Head And Neck Region ◽  
Grade Classification ◽  
Health Organization ◽  
Rhabdoid Features

Only 1% to 2% of meningiomas have primary extrameningeal location, which is mostly head and neck region. Primary pulmonary meningiomas (PPMs) are even more uncommon with up to 50 cases reported in the literature. Only 5 cases of PPM with confirmed or possible malignancy have been previously described. Three-grade classification of meningiomas with the accordingly growing risk of aggressive behavior of the tumor has been proposed by the World Health Organization. As it is based on correlations between morphological and clinical features of intracranial meningiomas, the analogous prediction of ectopic tumors prognosis remains questionable due to scarce number of cases. In this article, we present a rare case of PPM with rhabdoid features (World Health Organization grade III), which lacked other signs of malignancy. The patient is doing well for 2 years after the thoracoscopic wedge resection without evidence of the disease recurrence.

scholarly journals Classifying Ectopia Lentis in Marfan Syndrome into Five Grades of Increasing Severity

2020 ◽  
Vol 9 (3) ◽  
pp. 721
Author(s):  
Jean-Christophe Zech ◽  
Audrey Putoux ◽  
Evelyne Decullier ◽  
Anne-Emmanuelle Fargeton ◽  
Patrick Edery ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Marfan Syndrome ◽  
Predictive Value ◽  
Anterior Segment ◽  
Control Group ◽  
Clinical Practices ◽  
Predictive Values ◽  
Ectopia Lentis ◽  
Grade Classification

Purpose: To describe a five-grade classification of ectopia lentis in Marfan syndrome (MFS) and to evaluate the positive predictive value of the early grades of ectopia lentis. Methods: We prospectively included MFS patients and their healthy relatives. The anterior segment examination was classified into grades 0 to 5, and we studied the sensitivity, specificity, and positive predictive value of ectopia lentis in this classification. Results: Seventy-four MFS patients and thirty-six healthy controls were examined. In the MFS group, grades 1, 2, 3, and 4 were present in 15, 24, 17, and 7 patients, respectively, whereas 11 patients in this group did not present ectopia lentis. In the control group, grades 0 and 1 were observed in 30 and 6 individuals, respectively. Sensitivity to ectopia lentis of at least grade 2 was 64.9%, with 100% specificity, whereas sensitivity to ectopia lentis of at least grade 1 was 85.1%, with 83.3% specificity. The positive predictive value of ectopia lentis that was greater than or equal to grade 2 was 100%, whereas that of ectopia lentis greater than or equal to grade 1 was 91.3%. Conclusions: High positive predictive values s were found to be associated with grades 2 and higher of the five-grade classification of ectopia lentis. This classification should help to harmonize clinical practices for this major feature of MFS.

Comparative Analysis of Trash Contamination in Cotton by Optical Scanning

1977 ◽  
Vol 99 (1) ◽  
pp. 46-50 ◽  
Author(s):  
D. W. Lyons ◽  
R. L. Barker
Keyword(s):  
Image Analysis ◽  
Comparative Analysis ◽  
Optical Imaging ◽  
Standard Method ◽  
Scanning System ◽  
Optical Scanning ◽  
Absolute Indication ◽  
Grade Classification ◽  
Optical Scanning System

Successful utilization of an automated optical scanning system for the purpose of assessing the trash factor included in the grade classification of cotton was demonstrated in a study that featured analysis of cottons representing a broad range of trash levels and lint colors. The utility of image analysis as an absolute indication of grade-related differences in cotton was statistically confirmed. Sources contributing to the variability of nonlint assessment by optical imaging were defined and analyzed, as was the influence of interrelated grade factors such as lint coloration on optically measured contaminant levels. In a direct comparison with the Shirley Analyzer, computerized optical scanning was shown to be at least as reliable as this standard method for determining nonlint waste.

scholarly journals Non-contact Method for Measurement of Colour Variation in a Cotton Sample

2017 ◽  
Vol 25 (0) ◽  
pp. 106-111 ◽  
Author(s):  
Michal Vik ◽  
Nayab Khan ◽  
Bekir Yildirim ◽  
Martina Viková
Keyword(s):  
Image Analysis ◽  
High Volume ◽  
Color Measurement ◽  
Contact Method ◽  
Colour Variation ◽  
Grade Classification ◽  
Cotton Sample ◽  
Colour Parameters ◽  
Perceptual Property

Colour is the visual perceptual property in the cotton grade classification of Universal Cotton Standards. We undertook an experimental study on the variation in cotton colour using the Non-contact method. Rd (degree of reflectance) and +b (yellowness) are globally recognized colour parameters of cotton, which are measured by HVI (High Volume Instrument). The Non-contact method is used for the evaluation of colour variation within cotton samples. The results obtained from the Non-contact method were compared with those of other conventional methods used globally for the color measurement of cotton fibers. Additionally image analysis is interpreted with the variation in cotton colour. Results confirmed a strong co-relation between the Non-contact method and image analysis for the colour variation of cotton.

scholarly journals City Grade Classification Based on Connectivity Analysis by Luojia I Night-Time Light Images in Henan Province, China

2020 ◽  
Vol 12 (11) ◽  
pp. 1705
Author(s):  
Zongze Zhao ◽  
Gang Cheng ◽  
Cheng Wang ◽  
Shuangting Wang ◽  
Hongtao Wang
Keyword(s):  
City Planning ◽  
Census Data ◽  
Henan Province ◽  
Connectivity Analysis ◽  
Night Time ◽  
Urban Structures ◽  
Grade Classification ◽  
Time Period ◽  
Basic Characteristics

City classification can provide important data and technical support for city planning and government decision-making. Traditional city classification mainly relies on the accumulation and analysis of census data, which requires a large time period and relies heavily on historical and statistical data. This paper mainly utilizes Luojia I Night-Time Light (NTL) images to analyze the rank classification of cities in Henan Province, China. Intensity values can be expressed as the mathematical surface of continuous human activities, and the basic characteristics of urban structures are determined by analogy with the topography of the earth. A connectivity analysis method for NTL images is proposed to analyze the connected regions of images at different intensity levels. By constructing a tree structure, different cities can be analyzed “crosswise” and “lengthwise” to generate a series of parametric information from connected regions of NTL images. Based on these parameters, 18 cities in Henan Province were classified and analyzed. The results show that these attribute information can be well used for city center detection and grade classification, and can meet the requirements of application analysis.

Sign in / Sign up

Export Citation Format

Share Document