2,044 research outputs found

    DISCOURSE AND DISCOURSE ANALYSIS IN THE CONCEPT OF SOCIOHUMANITARIAN KNOWLEDGE

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    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

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    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

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    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

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    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

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    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

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    A universal method of extraction of the complex dielectric function ϵ(ω)=ϵ1(ω)+iϵ2(ω)\epsilon(\omega)=\epsilon_{1}(\omega)+i\epsilon_{2}(\omega) from experimentally accessible optical quantities is developed. The central idea is that ϵ2(ω)\epsilon_{2}(\omega) is parameterized independently at each node of a properly chosen anchor frequency mesh, while ϵ1(ω)\epsilon_{1}(\omega) is dynamically coupled to ϵ2(ω)\epsilon_{2}(\omega) 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

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    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

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    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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