2,044 research outputs found
DISCOURSE AND DISCOURSE ANALYSIS IN THE CONCEPT OF SOCIOHUMANITARIAN KNOWLEDGE
Purpose of the study: The aim of the scientific work is to develop a new theory of interdisciplinary discourse based on social and humanitarian knowledge. Today, there are many interpretations of the concept of discourse. This causes certain difficulties in its interpretation. Presentation of the discourse within the multidimensional socio-humanitarian category will allow us to generalize and systematize various approaches to its study, to reveal the sociolinguistic features of the mental-linguistic product in the future integration of social and humanitarian disciplines.
Methodology: The integrative socio-humanitarian theory of discourse analysis highlights the subjective-objective nature of discourse and actualizes the structuralist, poststructuralist, cognitive approaches and its study. The sociolinguistic concept of discourse analysis focuses on the method of synchronous diachronic study of discourse, a descriptive method of discourse analysis, and a comparative historical discourse analysis method.
Main findings: The study found that the theory of discourse, based on a number of humanitarian disciplines (philosophy, sociolinguistics, linguistics), indicates a transformation of the concept of discourse, as well as methods of discourse analysis. A multi-faceted humanitarian concept of discourse analysis is positioned in the post-structuralist, logical-philosophical, sociolinguistic vein.
Applications of this study: The presented integrative interdisciplinary theory of discourse will serve as an impetus for scientific research carried out in the framework of sociolinguistic knowledge. The ontological methodology of discourse analysis, combining the features of structuralism, post-structuralism, cognitivism, is of great practical importance in philosophy, linguistics of the text, communication theory, sociolinguistics, cognitive linguistics.
Novelty/Originality of this study: In the social sciences, there is no single understanding of the concept of discourse. Due to the variability of this concept, various theories of discourse analysis are put forward. For the first time in scientific work, the theory of discourse analysis summarizes the socio-humanitarian theories of discourse (structuralism, poststructuralism, cognitivism). It is demonstrated as a comprehensive research method that allows you to explicate a single utterance, text, as well as cognitive-communicative (speech-cognitive) activity
Manifestation of finite temperature size effects in nanogranular magnetic graphite
In addition to the double phase transition (with the Curie temperatures
T_C=300K and T_{Ct}=144K), a low-temperature anomaly in the dependence of the
magnetization is observed in the bulk magnetic graphite (with an average
granular size of L=10nm), which is attributed to manifestation of the size
effects below the quantum temperature. The best fits of the high-temperature
data (using the mean-field Curie-Weiss and Bloch expressions) produced
reasonable estimates for the model parameters, such as defects mediated
effective spin exchange energy J=12meV (which defines the intragranular Curie
temperature T_C) and proximity mediated interactions between neighboring grains
(through potential barriers created by thin layers of non-magnetic graphite)
with energy J_t=exp(-d/s)J=5.8meV (which defines the intergranular Curie
temperature T_{Ct}) with d=1.5nm and s=2nm being the intergranular distance and
characteristic length, respectively
Spin States of Cobalt Ions in the Bulk and on the Surface of LaCoO3 Probed by X-ray Absorption, Emission, and Photoelectron Spectra
We present X-ray photoelectron, Co L2,3 and O K X-ray absorption, as well as Co Kβ1,3 X-ray emission spectroscopy results of studies of the spin states of trivalent cobalt ions in single-crystal cobaltite LaCoO3. We show that at room temperature, in the bulk of a LaCoO3 single crystal, Co3+ ions are in the low-spin state, while high-spin Co2+, high-spin Co3+, low-spin Co3+ , and probably also intermediate-spin Co3+ ions are localated on the surface
The prokaryotic V4R domain is the likely ancestor of a key component of the eukaryotic vesicle transport system
Intracellular vesicle traffic that enables delivery of proteins between the endoplasmic reticulum, Golgi and various endosomal subcompartments is one of the hallmarks of the eukaryotic cell. Its evolutionary history is not well understood but the process itself and the core vesicle traffic machinery are believed to be ancient. We show here that the 4-vinyl reductase (V4R) protein domain present in bacteria and archaea is homologous to the Bet3 subunit of the TRAPP1 vesicle-tethering complex that is conserved in all eukaryotes. This suggests, for the first time, a prokaryotic origin for one of the key eukaryotic trafficking proteins
Detecting bivariate outliers on the basis of normalizing transformations for non-Gaussian data
The statistical technique for detecting
outliers in bivariate non-Gaussian data on the basis of
normalizing transformations, prediction ellipse and a
test statistic (TS) for the Mahalanobis squared
distance (MSD), which has an approximate F
distribution, is proposed. Application of the technique
is considered for detecting outliers in two bivariate
non-Gaussian data sets: the first, actual effort (hours)
and size (adjusted function points) from 145
maintenance and development projects, the second,
effort (hours) and mass (tonnes) of designed the
section of the ship from 188 designs of sections
Kramers-Kronig constrained variational analysis of optical spectra
A universal method of extraction of the complex dielectric function
from
experimentally accessible optical quantities is developed. The central idea is
that is parameterized independently at each node of a
properly chosen anchor frequency mesh, while is
dynamically coupled to by the Kramers-Kronig (KK)
transformation. This approach can be regarded as a limiting case of the
multi-oscillator fitting of spectra, when the number of oscillators is of the
order of the number of experimental points. In the case of the normal-incidence
reflectivity from a semi-infinite isotropic sample the new method gives
essentially the same result as the conventional KK transformation of
reflectivity. In contrast to the conventional approaches, the proposed
technique is applicable, without readaptation, to virtually all types of
linear-response optical measurements, or arbitrary combinations of
measurements, such as reflectivity, transmission, ellipsometry {\it etc.}, done
on different types of samples, including thin films and anisotropic crystals.Comment: 10 pages, 7 figure
Associations of Dwarf Galaxies
Hubble Space Telescope Advanced Cameras for Surveys has been used to
determine accurate distances for 20 galaxies from measurements of the
luminosity of the brightest red giant branch stars. Five associations of dwarf
galaxies that had originally been identified based on strong correlations on
the plane of the sky and in velocity are shown to be equally well correlated in
distance. Two more associations with similar properties have been discovered.
Another association is identified that is suggested to be unbound through tidal
disruption. The associations have the spatial and kinematic properties expected
of bound structures with 1 - 10 x 10^11 solar mass. However, these entities
have little light with the consequence that mass-to-light ratios are in the
range 100 - 1000 in solar units. Within a well surveyed volume extending to 3
Mpc, all but one known galaxy lies within one of the groups or associations
that have been identified.Comment: 50 pages, 2 tables, 15 encapsulated figures, 1 (3 part) jpg figure.
Submitted to Astronomical Journa
Detecting bivariate outliers on the basis of normalizing transformations for non-Gaussian data
The statistical technique for detecting
outliers in bivariate non-Gaussian data on the basis of
normalizing transformations, prediction ellipse and a
test statistic (TS) for the Mahalanobis squared
distance (MSD), which has an approximate F
distribution, is proposed. Application of the technique
is considered for detecting outliers in two bivariate
non-Gaussian data sets: the first, actual effort (hours)
and size (adjusted function points) from 145
maintenance and development projects, the second,
effort (hours) and mass (tonnes) of designed the
section of the ship from 188 designs of sections
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