scholarly journals STRUCTURAL ANALYSIS OF INHABITANTS' CONSCIOUSNESS BY FACTOR ANALYSIS : Studies on the structure of inhabitants' consciousness to their surroundings-Part 1

1983 ◽  
Vol 334 (0) ◽  
pp. 109-116
Author(s):  
SATORU KUNO
Keyword(s):  
Factor Analysis ◽  
Structural Analysis

scholarly journals Phytosociology and biodiversity patterns of annual wetland communities of Pyriatynskyi National Nature Park (Poltava Oblast, Ukraine)

2019 ◽  
Vol 78 (2) ◽  
pp. 155-163
Author(s):  
Oleksii Kovalenko ◽  
Mariia Kalista
Keyword(s):  
Factor Analysis ◽  
Soil Moisture ◽  
Structural Analysis ◽  
Classification Scheme ◽  
Floristic Similarity ◽  
Biodiversity Patterns ◽  
Nature Park ◽  
Critical Differentiation

Abstract The results of a comparative structural analysis of the annual wetland herb vegetation syntaxa (class Isoëto-Nano-Juncetea) of Pyriatynskyi National Nature Park (Poltava Oblast, Ukraine) are presented. The systematic, biomorphological, ecological and geographical structures of syntaxa were studied using cluster, discriminant and factor analysis. The principal conformity of the floristic similarity dendrogram and the previously developed classification scheme were analysed. It was revealed that the leading factor of coenosis development is the soil moisture, while most parameters of these ecotopes are constant. The critical differentiation of Nano-Cyperion and Eleocharition ovatae alliances and the legitimacy of the recognition of the Radiolion linoidis alliance and Polygono recti-Juncetum juzepczukii association as separate syntaxa of the main ranks are emphasized.

A Class of Simple Methods for Exploratory Structural Analysis

1981 ◽  
Vol 18 (2) ◽  
pp. 173-189 ◽  
Author(s):  
Robert M. Pruzek ◽  
Stanley N. Rabinowitz
Keyword(s):  
Factor Analysis ◽  
Maximum Likelihood ◽  
Structural Analysis ◽  
Hypothesis Testing ◽  
Computational Efficiency ◽  
Principal Component ◽  
Prior Beliefs ◽  
Psychological Variables ◽  
Testing Procedures ◽  
Maximum Likelihood Factor Analysis

Simple modifications of principal component methods are described that have distinct advantages for structural analysis of relations among educational and psychological variables. Advantages include the provision for the incorporation of prior beliefs about errors in the variables, computational efficiency, tractability for large battery analysis, and the availability of hypothesis testing procedures. The methods are contrasted theoretically and empirically with conventional principal component methods and with maximum likelihood factor analysis.

scholarly journals Studying the profitability of the mining farm's operations

2021 ◽  
Vol 26 (1) ◽  
pp. 44-52
Author(s):  
Georgii G. VINOGOROV
Keyword(s):  
Factor Analysis ◽  
Structural Analysis ◽  
High Technology ◽  
Logic Model ◽  
Comprehensive Approach ◽  
Factor System ◽  
Business Entities

Subject. The article examines the profitability of the mining farm. Objectives. I determine what aspects the mining farm’s profitability should be analyzed, and articulate my own technique for analyzing, untapping the room for the profitability growth on the analyzable mining farm. Methods. To make my suggestions reasonable, reliable and substantiate them, I use the comprehensive approach to studying the profitability of the mining farm, general and special methods of research, such as the retrospective, systems and functional-structural analysis, observation, classification, instrumental techniques for grouping, sampling, comparison and generalization, factor analysis. Results. The study is the first to present the structural-logic model of the factor system of profitability of the mining farm. I assessed factors that influenced the profitability, found bottle necks and aspects to focus on in order to improve the performance of the mining farm. Conclusions and Relevance. Business entities that are residents at the Belarus Part of High Technology and have mining farms can use the proposed technique, which are of applied nature.

Structural analysis of the surface-layer protein of spirillum serpens by high-resolution electron microscopy

1983 ◽  
Vol 41 ◽  
pp. 738-739
Author(s):  
W. H. Wu ◽  
R. M. Glaeser
Keyword(s):  
Electron Microscopy ◽  
Surface Layer ◽  
Structural Analysis ◽  
High Resolution ◽  
Low Dose ◽  
High Resolution Electron Microscopy ◽  
Optical Diffraction ◽  
Surface Layer Protein ◽  
Morphological Unit ◽  
Resolution Electron

Spirillum serpens possesses a surface layer protein which exhibits a regular hexagonal packing of the morphological subunits. A morphological model of the structure of the protein has been proposed at a resolution of about 25 Å, in which the morphological unit might be described as having the appearance of a flared-out, hollow cylinder with six ÅspokesÅ at the flared end. In order to understand the detailed association of the macromolecules, it is necessary to do a high resolution structural analysis. Large, single layered arrays of the surface layer protein have been obtained for this purpose by means of extensive heating in high CaCl2, a procedure derived from that of Buckmire and Murray. Low dose, low temperature electron microscopy has been applied to the large arrays.As a first step, the samples were negatively stained with neutralized phosphotungstic acid, and the specimens were imaged at 40,000 magnification by use of a high resolution cold stage on a JE0L 100B. Low dose images were recorded with exposures of 7-9 electrons/Å2. The micrographs obtained (Fig. 1) were examined by use of optical diffraction (Fig. 2) to tell what areas were especially well ordered.

RNA polymerase: Preparation and structural analysis of helical polymers

1984 ◽  
Vol 42 ◽  
pp. 152-153
Author(s):  
E. Loren Buhle ◽  
Pamela Rew ◽  
Ueli Aebi
Keyword(s):  
Structural Analysis ◽  
Rna Polymerase ◽  
Molecular Level ◽  
X Ray Diffraction ◽  
Helical Polymers ◽  
X Ray ◽  
E Coli ◽  
The Past ◽  
Ordered Arrays ◽  
Low Ionic Strength

While DNA-dependent RNA polymerase represents one of the key enzymes involved in transcription and ultimately in gene expression in procaryotic and eucaryotic cells, little progress has been made towards elucidation of its 3-D structure at the molecular level over the past few years. This is mainly because to date no 3-D crystals suitable for X-ray diffraction analysis have been obtained with this rather large (MW ~500 kd) multi-subunit (α2ββ'ζ). As an alternative, we have been trying to form ordered arrays of RNA polymerase from E. coli suitable for structural analysis in the electron microscope combined with image processing. Here we report about helical polymers induced from holoenzyme (α2ββ'ζ) at low ionic strength with 5-7 mM MnCl2 (see Fig. 1a). The presence of the ζ-subunit (MW 86 kd) is required to form these polymers, since the core enzyme (α2ββ') does fail to assemble into such structures under these conditions.

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).

Factor Analysis of Measures of Articulation, Language, Auditory Processing, Reading-Spelling, and Maxillofacial Structure

1977 ◽  
Vol 20 (2) ◽  
pp. 319-324
Author(s):  
Anita F. Johnson ◽  
Ralph L. Shelton ◽  
William B. Arndt ◽  
Montie L. Furr
Keyword(s):  
Factor Analysis ◽  
Clinical Judgment ◽  
Auditory Processing

This study was concerned with the correspondence between the classification of measures by clinical judgment and by factor analysis. Forty-six measures were selected to assess language, auditory processing, reading-spelling, maxillofacial structure, articulation, and other processes. These were applied to 98 misarticulating eight- and nine-year-old children. Factors derived from the analysis corresponded well with categories the measures were selected to represent.

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