scholarly journals ПЕРСПЕКТИВИ ЗАСТОСУВАННЯ НОВИХ ПІДХОДІВ ДО ВПРОВАДЖЕННЯ МАТЕМАТИЧНИХ ТЕХНОЛОГІЙ ДЛЯ ВИВЧЕННЯ ДІЯЛЬНОСТІ КЛІТИНИ

2018 ◽  
Author(s):  
O. I. Ryabukha
Keyword(s):  
Cluster Analysis ◽  
Quantitative Analysis ◽  
Biological Object ◽  
Normal Range ◽  
Functional Capabilities ◽  
Digital Evaluation ◽  
Ultrathin Sections ◽  
Grading Scale ◽  
Synthetic Capacity ◽  
Constituent Elements

Photographs of ultrathin sections of the studied tissues are subject to the research. According to the method of determining the profiles of specific capabilities of hormonopoietic cells, based on cytophysiology data on the functional values of individual organelles and using elements of the cluster analysis, organelles are divided into separate groups (clusters) in accordance with their specialization in the cell. While applying the method of semi-quantitative analysis of electronograms, the structure and condition of the constituent elements of each cluster are compared with those in analogous ultrastructures both in the normal range and in the studied deviations. While applying the method of semi-quantitative analysis of electronograms, grading scale performs a digital evaluation of the characteristics' severity of each cluster element. The averaged results of the cluster elements evaluation serve as the basis for establishing certain interdependencies between them, which are objectified by correlation analysis with the construction of intra-cluster (intra-system) correlation portraits. For instance, a comparative study of the synthetic capacity of follicular thyrocytes in the thyroid gland of rats is presented through the commonly used linguistic description and analysis of the constructed correlation portrait.Suggested approach to the study of a hormonopoietic cell not only makes it possible to establish interconnections between organelles within a certain cluster and to note the peculiarities of the implementation of a certain activity direction, but also allows to search for potential and reserve capabilities of the cell, which, in its turn, significantly broadens the very idea of its functional capabilities as the basis of life of any biological object.

scholarly journals The geolect of Plungė in terms of regressive assimilation of vowels I, U

2020 ◽  
pp. 1-19
Author(s):  
Simona Vyniautaitė
Keyword(s):  
Cluster Analysis ◽  
Quantitative Analysis ◽  
Reference Points ◽  
Research Model ◽  
Limb Reduction ◽  
Audio Recordings ◽  
Main Variable ◽  
Variable Feature ◽  
Dual Core ◽  
Main Distinguishing Feature

Based on dialectometric methods, the article discusses the geolect of Plungė in terms of regressive assimilation of vowels i, u. The study material consists of about 9 hours of audio recordings, 57 sentences, recited by nine presenters of younger, middle and older generations. 6 words were chosen in which regressive assimilation of vowels can take place, i. e., the words with vowels i, u in accented, unaccented and shifted accent positions. Quantitative analysis of the material (sentences read by the presenters) was performed with the tools of the computer program Gabmap. Pseudo maps of networks, reference points, cluster analysis, as well as differential dialectal features were analyzed. The analysis performed using dialectometry methods shows that differences in limb reduction, word stem, consonant softening become apparent, but in many cases regressive assimilation of vowels i, u becomes the main variable feature. The operation/inaction of the regressive assimilation of vowels i, u is greatly influenced by accent. When vowels are accented, presenters of all generations pronounce them without regressive vowel assimilation. When the vowel i is unaccented, it is assimilated, and the vowel u is spelled narrowly by only a third of the presenters. Dual behavior exists in cases where vowels receive a shifted accent. The pronunciation of both vowels is approximate. Maintaining the main distinguishing feature of the residents of Plungė from the dialect of the residents of Telšiai, although inconsistent, would allow predicting that the linguistic dialect peculiarity of this area could compete with the language code of Telšiai – based on the Samogitian regiolect – or whether the regiolect itself would be / become dual-core (more detailed research based on a multi-faceted research model is needed to confirm this statement). The effect of regressive assimilation in the Plungė dialect, in the geolectic zone in general, can be both a proof of resemblance to the northern Samogitian Telšiai residents and a sign of a decrease in the importance of assimilation as a distinctive feature of the dialects.

Zooplankton of a mountain river and highland bogs in a wetlands complex in Atacama, an Altiplano desert, in northern Chile

Crustaceana ◽  
2019 ◽  
Vol 92 (4) ◽  
pp. 429-444
Author(s):  
Andrés Muñoz-Pedreros ◽  
Patricio De los Ríos ◽  
Marilyn González-Urrutia
Keyword(s):  
Cluster Analysis ◽  
Quantitative Analysis ◽  
Correlation Matrix ◽  
Northern Chile ◽  
Mountain River ◽  
Qualitative And Quantitative Analysis ◽  
Oxygen Conductivity ◽  
Qualitative And Quantitative ◽  
Specific Composition ◽  
Composition And Structure

Abstract The Atacama is the world’s driest desert. It contains various types of wetlands. In general, the diversity and structure of the zooplankton in these wetlands have been very little studied. The object of the present study was to analyse the specific composition and structure of the zooplankton in a transect which included highland bogs and an endorheic mountain river in the Altiplano of northern Chile. In 2017, samples of zooplankton were collected for qualitative and quantitative analysis in two types of wetlands. Eight taxa of zooplanktonic crustaceans were recorded. The results of null models revealed the absence of regulator patterns for all sites in species co-occurrence. Cluster analysis generated two groups with low similarity between them. The results observed in the correlation matrix showed significant direct associations between some species and the level of dissolved oxygen, conductivity and salinity.

scholarly journals Transdiagnostic neurocognitive subgroups and functional course in young people with emerging mental disorders: a cohort study

BJPsych Open ◽  
2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Jacob J. Crouse ◽  
Kate M. Chitty ◽  
Frank Iorfino ◽  
Joanne S. Carpenter ◽  
Django White ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Young People ◽  
Mental Disorders ◽  
Test Scores ◽  
Rate Of Change ◽  
Data Driven ◽  
Normal Range ◽  
Occupational Functioning ◽  
Cluster Group ◽  
Neurocognitive Test

Background Neurocognitive impairments robustly predict functional outcome. However, heterogeneity in neurocognition is common within diagnostic groups, and data-driven analyses reveal homogeneous neurocognitive subgroups cutting across diagnostic boundaries. Aims To determine whether data-driven neurocognitive subgroups of young people with emerging mental disorders are associated with 3-year functional course. Method Model-based cluster analysis was applied to neurocognitive test scores across nine domains from 629 young people accessing mental health clinics. Cluster groups were compared on demographic, clinical and substance-use measures. Mixed-effects models explored associations between cluster-group membership and socio-occupational functioning (using the Social and Occupational Functioning Assessment Scale) over 3 years, adjusted for gender, premorbid IQ, level of education, depressive, positive, negative and manic symptoms, and diagnosis of a primary psychotic disorder. Results Cluster analysis of neurocognitive test scores derived three subgroups described as ‘normal range’ (n = 243, 38.6%), ‘intermediate impairment’ (n = 252, 40.1%), and ‘global impairment’ (n = 134, 21.3%). The major mental disorder categories (depressive, anxiety, bipolar, psychotic and other) were represented in each neurocognitive subgroup. The global impairment subgroup had lower functioning for 3 years of follow-up; however, neither the global impairment (B = 0.26, 95% CI −0.67 to 1.20; P = 0.581) or intermediate impairment (B = 0.46, 95% CI −0.26 to 1.19; P = 0.211) subgroups differed from the normal range subgroup in their rate of change in functioning over time. Conclusions Neurocognitive impairment may follow a continuum of severity across the major syndrome-based mental disorders, with data-driven neurocognitive subgroups predictive of functional course. Of note, the global impairment subgroup had longstanding functional impairment despite continuing engagement with clinical services.

scholarly journals Geoinformation-cartographic support of research of adaptation and integration of migrants

2020 ◽  
Vol 26 (1) ◽  
pp. 329-342
Author(s):  
Ivan Soloviev
Keyword(s):  
Personal Data ◽  
Migration Policy ◽  
Geographic Information ◽  
Cultural Integration ◽  
North Caucasus ◽  
Internally Displaced ◽  
Functional Capabilities ◽  
The North ◽  
Support Of Research ◽  
Constituent Elements

The author’s vision on geographic information and cartographic support for studying the territorial features of the problems of socio-economic adaptation and socio-cultural integration of migrants is presented. The programmatic basis of the research is the GIS platform Mapinfo Professional, ArcGIS and the automated complex for processing, storing and analyzing personal data Questionnaire. The article presents a proven, author’s conceptual scheme of geographic information-cartographic support for studying the adaptation and integration of migrants of different categories (using the example of the North Caucasus) consisting of three blocks: “software platforms”, “geodatabases” and “mapping of statistical and information data”. The constituent elements of the first block are the geoinformation support of the study. The second block includes various empirical data. The third block presents the cartographic and graphical support of the study. The presented and tested conceptual framework may be used in other similar studies. The study provides a “step-by-step” description of the functional capabilities and advantages of building electronic geodatabases (“Foreign migrants in Russia”, “The attitude of the indigenous population towards migrants”, “Internally displaced persons”, etc.) in the “Application” program module, and also justifies the possibility of transferring and further cartographic visualization of tabular data in the used GIS platforms (Mapinfo Professional, ArcGIS). The article describes the printed sources used for the development of cartographic foundations through their digitization. The use of multiscale cartographic frameworks for visualizing quantitative and qualitative data at various historical periods made it possible to construct author cartographic schemes and cartographic diagrams reflecting the spatiotemporal transformations of the ADT of the studied territory, migration policy, migration and adaptation-integration processes in the North Caucasus.

scholarly journals Anonymous Vs. Attributed: Cluster Analysis of Tolstovskiĭ Sbornik Texts and Its Interpretation in Terms of Cultural Heritage

2020 ◽  
pp. 2056-2081
Author(s):  
Oleg F. Zholobov ◽  
Victor A. Baranov
Keyword(s):  
Cluster Analysis ◽  
Quantitative Analysis ◽  
Cultural Heritage ◽  
Thirteenth Century ◽  
Clustering Method ◽  
The Third ◽  
Sharp Difference ◽  
Statistical Distance

In the article, the quantitative analysis revealed lexical and semantic dominants and markers that distinguish the medieval anthology texts from each other. To verify whether three anonymous homilies in the thirteenth-century Tolstovskiĭ Sbornik might be attributed to Cyril of Turov, the authors examined the statistical distance between anonymous and already attributed texts. Using the clustering method based on the ranks of the most frequent tokens and the corresponding ranks of other texts, they constructed dendrograms that showed the text grouping. This technique allowed demonstrating the statistical proximity of six Cyril of Turov’s texts, their contrast to seven Cyril of Jerusalem’s texts, and the formation of the third cluster from texts of other authors. Cluster analysis made it possible to identify in Cyril of Turov’s homilies several crucial thematic keys, as well as to establish such a feature of his preaching discourse as the widespread use of role deixis. The analysis confirmed the sharp difference between the anonymous Parable of Wisdom and Cyril of Turov’s homilies. Separate convergences of two anonymous sermons with Cyril of Turov’s homilies were discovered. However, the level of convergence in this case, as analysis has shown, contrasts sharply with the level of convergence among Cyril of Turov’s homilies. It suggests that the causes of individual convergences are not associated with one person’s authorship

Discrepancy in the quantitative oxidation-state analysis of Eu species in sulfide phosphors by K-, L1- and L3-edge XANES spectrometry: choice of absorption edge and measurement mode

2018 ◽  
Vol 33 (4) ◽  
pp. 585-592 ◽  
Author(s):  
Takashi Yamamoto ◽  
Akira Yukumoto
Keyword(s):  
Quantitative Analysis ◽  
Oxidation State ◽  
Absorption Edge ◽  
Oxidation States ◽  
Xanes Spectroscopy ◽  
Edge Structure ◽  
X Ray ◽  
Measurement Mode ◽  
Constituent Elements ◽  
X Ray Absorption

A quantitative analysis of the oxidation state of europium (Eu) in phosphor samples was performed using X-ray absorption near-edge structure (XANES) spectroscopy to investigate the influence of the constituent elements, absorption edge and measurement mode on the evaluated oxidation states.

scholarly journals Development of a methodology for the formation and adjustment of the catalog of defense forces capabilities

2021 ◽  
Vol 1 (3 (109)) ◽  
pp. 72-84
Author(s):  
Oleh Surkov
Keyword(s):  
Cluster Analysis ◽  
Working Group ◽  
Organizational Structures ◽  
Evaluation Criterion ◽  
Capacity Assessment ◽  
Functional Capabilities ◽  
Study Results ◽  
Working Groups ◽  
Passive Experiment ◽  
Generalized Indicator

The study results have made it possible to devise a methodology for the formation and adjustment of the Defense Forces Capabilities Catalog using cluster analysis and the developed tree-like system of basic indicators characterizing groups and subgroups (clusters). That enables stakeholders to form and adjust the Defense Force Capabilities Catalog with the proper quality, according to the uniform developed algorithm and defined identifiers (features). The methodology is intended for use by members of the Inter-Departmental Working Group on Defense Review, as well as working groups in the course of a separate review or capacity assessment. The Defense Force Capabilities Catalog was deconstructed into five levels of hierarchy, each of which contains interdependent typical tasks, organizational structures, and means (systems, complexes). The procedure is to analyze and clearly cluster individual capabilities of the defense forces according to certain features (requirements, characteristics) to group them and include them in the relevant groups, subgroups, and functional capabilities groups. A system of the indicators for the formation and adjustment of the Defense Forces Capabilities Catalog has been proposed, as well as a conformity criterion based on the generalized indicator, which defines the level of formation (adjustment) of the Defense Forces Capabilities Catalog. Seven steps of the procedure have been defined: from identifying individual capabilities based on their description (step 1) to verifying the acceptability of the results obtained (step 7) using the evaluation criterion and specially designed tables. The methodology was tested during a passive experiment in 2020 on the analysis of the current Defense Forces Capabilities Catalog, which made it possible to identify a series of significant shortcomings in its structure and content.

Research on Clothing Styles Classification Model Based on the MDS and K-Means Method

2011 ◽  
Vol 331 ◽  
pp. 616-619 ◽  
Author(s):  
Hui Juan Xu ◽  
Feng Yuan Zou ◽  
Jing Wei ◽  
Ying Zhang
Keyword(s):  
Cluster Analysis ◽  
Quantitative Analysis ◽  
Classification Model ◽  
Multidimensional Space ◽  
Visual Effects ◽  
Perceptual Mapping ◽  
Dimensional Scaling ◽  
Model Based ◽  
Set Up ◽  
Multi Dimensional Scaling

In this paper, the classification model of clothing styles is established based on the MDS (Multi-dimensional Scaling) and K-means method. MDS is adopted to make the quantitative analysis of the clothing styles and the similar perceptual mapping of the clothing styles is set up. In addition, according to the intuitional visual effects of similar perceptual mapping, the groups of clothing classification are preliminarily determined, coordinate values of the multidimensional space are achieved, and through cluster analysis of coordinate values, the categories of the clothing styles are finally determined. Then, this model is adopted to conduct the research on Ladie’s Wear for testifying the operability of the model.

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