MODAL ANALYSIS-BASED CLASSIFICATION OF LIQUID JETS IN CROSSFLOW

2021 ◽  
Vol 31 (7) ◽  
pp. 1-16
Author(s):  
Keivan Mokhtarpour ◽  
Mehdi Jadidi ◽  
Ali Dolatabadi
Keyword(s):  
Modal Analysis ◽  
Liquid Jets

Classification of archaeological pottery profiles using modal analysis

2016 ◽  
Vol 76 (20) ◽  
pp. 21565-21577 ◽  
Author(s):  
M. Lucena ◽  
J. M. Fuertes ◽  
A. L. Martínez-Carrillo ◽  
A. Ruiz ◽  
F. Carrascosa
Keyword(s):  
Modal Analysis ◽  
Archaeological Pottery ◽  
Pottery Profiles

Les laves recentes de l'Etna

1966 ◽  
Vol S7-VIII (2) ◽  
pp. 201-217
Author(s):  
Jean Claude Tanguy
Keyword(s):  
Chemical Analysis ◽  
Modal Analysis ◽  
Mineral Composition ◽  
Volcanic Rocks ◽  
Minimum Amount ◽  
X Ray Diffraction ◽  
Calcic Plagioclase ◽  
X Ray ◽  
Selective Staining

Abstract The recent lavas of Etna are tephritic trachybasalts always showing the same mineral composition: olivine phenocrysts; phenocrysts and microlites of strongly zoned calcic plagioclase, slightly titaniferous and aluminous augite, and titanomagnetite; [and] interstitial sanidine and nepheline accompanied by a minimum amount of sodalite. These minerals have been studied by chemical analysis, as well as by optical and x-ray diffraction methods. Analyses of plagioclase, augite, and olivine have again been carried out and compared with those already published. Sanidine, nepheline, and sodalite which, although implicit in the total chemical analysis of the rock, had never been explicitly described, have been identified by selective staining, microchemical tests, and x-ray diffraction. This has been followed by chemical and modal analysis of the most representative lavas. An average type has been defined and its place in the classification of volcanic rocks discussed.

Note on the spectral classification of carbon stars in the photographic infrared region

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita
Keyword(s):  
Infrared Region ◽  
Spectral Classification ◽  
Carbon Stars

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.

Diagnostic Value of Electron Microscopy in Soft Tissue Tumors

1970 ◽  
Vol 28 ◽  
pp. 220-221
Author(s):  
Gerald Fine ◽  
Azorides R. Morales
Keyword(s):  
Cardiac Myxoma ◽  
Osteogenic Sarcoma ◽  
Diagnostic Value ◽  
Soft Tissue Tumors ◽  
Amelanotic Melanoma ◽  
Growth Patterns ◽  
Light Microscopic Level ◽  
Mesenchymal Tumors ◽  
Good Agreement

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)

Ultrastructure of mesotheliomas

1984 ◽  
Vol 42 ◽  
pp. 98-101
Author(s):  
Irving Dardick
Keyword(s):  
Electron Microscopy ◽  
Latent Period ◽  
Spindle Cell ◽  
Spindle Cell Sarcoma ◽  
Metastatic Adenocarcinoma ◽  
Cell Sarcoma ◽  
Cytological Features ◽  
Industrial Use ◽  
Degree Of Differentiation

With the extensive industrial use of asbestos in this century and the long latent period (20-50 years) between exposure and tumor presentation, the incidence of malignant mesothelioma is now increasing. Thus, surgical pathologists are more frequently faced with the dilemma of differentiating mesothelioma from metastatic adenocarcinoma and spindle-cell sarcoma involving serosal surfaces. Electron microscopy is amodality useful in clarifying this problem.In utilizing ultrastructural features in the diagnosis of mesothelioma, it is essential to appreciate that the classification of this tumor reflects a variety of morphologic forms of differing biologic behavior (Table 1). Furthermore, with the variable histology and degree of differentiation in mesotheliomas it might be expected that the ultrastructure of such tumors also reflects a range of cytological features. Such is the case.

Interpreting HVEM of muscle-cell impulse networks

1992 ◽  
Vol 50 (1) ◽  
pp. 126-127
Author(s):  
Paul DeCosta ◽  
Kyugon Cho ◽  
Stephen Shemlon ◽  
Heesung Jun ◽  
Stanley M. Dunn
Keyword(s):  
Structural Analysis ◽  
Muscle Cell ◽  
Electron Micrographs ◽  
Relative Size ◽  
Automatic Classification ◽  
Nerve Fibers ◽  
Analysis Algorithm ◽  
Structural Networks

Introduction: The analysis and interpretation of electron micrographs of cells and tissues, often requires the accurate extraction of structural networks, which either provide immediate 2D or 3D information, or from which the desired information can be inferred. The images of these structures contain lines and/or curves whose orientation, lengths, and intersections characterize the overall network.Some examples exist of studies that have been done in the analysis of networks of natural structures. In, Sebok and Roemer determine the complexity of nerve structures in an EM formed slide. Here the number of nodes that exist in the image describes how dense nerve fibers are in a particular region of the skin. Hildith proposes a network structural analysis algorithm for the automatic classification of chromosome spreads (type, relative size and orientation).

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