Nikolai Evreinov (1878–1953) is known as a theorist, director, and playwright. His legacy is usually considered in the light of ‘theatrical anthropology’ — the discipline on the human nature in the performing arts. However, in his later works such as The Theatre and the Scaffold (1918) and Theatre Therapy (1920), Evreinov himself greatly expanded the boundaries of the application of his models. Moreover, the very idea of ‘theatricalization of life’ hints at the fact that it refers not only to man but also to a certain understanding of the world, that is, ontology. Although it cannot be claimed that Evreinov put forward a complete model, his quest is worth considering, as it helps to re-ask the question of what theatre science, its subject and meaning are. In this study, the key problems of Nikolai Evreinov’s artistic practice and theoretical works are considered in the wide context of modern theatre studies.
The theatrical Avant-Garde at the beginning of the 20th century in Russian culture produced many practitioners and theories which changed the theatre industry and influenced the development of world theatre for generations. Among them, Stanislavski’s Method of Physical Actions and Active Analysis are widely used, while Evreinov’s unique Monodrama still remains relatively unknown. This paper examines the differences and similarities between Evreinov and Stanislavski and specifically their approach to Scenic (Stage) Realism, the understanding of Theatricality, and instigation of modern theatre and performance practices of the 21st century. Evreinov’s theatrical career was overshadowed by his countryman, Konstantin Stanislavski as a result of social changes in Russia at that time.Evreinov’s hostility towards realism was well known. Evreinov particularly enjoyed criticizing Stanislavski’s detailed direction for Chekhov plays. In New Theatrical Inventions, Evreinov engages in polemics against contemporary theatre practitioners, attacking the naturalism of Stanislavski’s staging. In general, professional theatre for Evreinov was a prison to Theatricality, which in his opinion is the cornerstone of Scenic Art. For Stanislavski, Theatricality was exaggeration when juxtaposed with what should be the realistic truth of the stage. Nikolai Evreinov claimed through his theoretical work that life is full of theatrical conventions; that theatre is a universal symbol of existence, an organic urge to transformation, as basic as hunger or sex. Referring to this urge as Theatricality, or the Instinct of Transformation, Evreinov brought the theatre into life, and insisted that life borrows from theatre.
Nikolai Evreinov’s report “The theatricalization of life. Ex cathedra” (1911) and Velimir Khlebnikov’s manifesto “Our Basis” (1919) demonstrate a similar idea of the beginning of human civilization. Both authors insist that the performative function of language preceded the communicative function, that performativity was the ground for complete understanding, and that present-day process control requires the attainment of a special speed of oral speech, through which the alienation of the primordial state is constructed. The symbol of performativity for both becomes a scrap of cloth that transforms the one gifted with it into a sound puppet, so that language is interpreted along the lines of the puppet game. The origins of such commonality are found in Kant’s treatise “The Conjecturable Вeginning of Human History” (1876). The assimilation of Kant’s ideas is assumed, not directly, but through the interpretation of the Fall in the fundamental theology and middle school religion lessons. The anthropological interests of Evreinov and Khlebnikov proved productive in challenging the dream of synthetic total art.
Developing an evidence base for physiotherapy programs for patients with Cerebral Palsy (CP) requires an understanding of the microscopic and metabolic processes in striated muscle. The gracilis muscle represents a logical object of study due to the significant morphological changes in individuals with cerebral palsy. This research aims to study morphological and biochemical alterations in the gracilis muscle depending on the severity of motor impairments in CP patients. The cross-sectional study included 24 patients stratified by the severity of motor impairment. Intraoperative gracilis muscle samples were obtained during tenomyotomies. Nutritional status of patients, morphometric, and biochemical parameters were evaluated. Initial body mass and Quetelet index (p = 0.02) were lower in GMFCS V patients (p = 0.01) compared to GMFCS IV and GMFCS II-III. Muscle tissue predominated in histological samples of GMFCS II-III and GMFCS V patients (p = 0.79), while connective tissue content was higher in the GMFCS IV group (p = 0.03). Strong, fast-twitch, anaerobic fibers (p = 0.761) with reduced creatine phosphokinase activity (p = 0.012) were more frequently observed in the intraoperative samples of GMFCS V patients. Low creatine phosphokinase activity was revealed in children in the GMFCS V group (p = 0.012). The structural and metabolic abnormalities observed in gracilis muscle of patients with spastic cerebral palsy indicates profound functional muscular dysfunction, representing one of the factors limiting children's motor ability. The morphological and biochemical alterations in the striated muscle of CP children correlate with severity of motor dysfunction conditioned by the primary upper motor neuron disorders. Less significant changes in muscles in ambulatory children reflect favorable basis for physical therapy.
The distance between fluorescein mercuric acetate (FMA), attached to the HS-group of Fe- and Mo-Fe-protein, and the nearest iron-sulphur cluster (ISC) was determined. For Fe-protein the distance was 18--20 A and for Mo-Fe-protein 12--14 A. The distance between Fe-protein FMA and the nearest Mo-protein ISC determined by complementation of the labelled Fe-protein and native Mo-Fe-protein was 14--16 A. The distance between MO-OFe-protein ISC and complement Fe-protein ISC was 18--20 A. A te-protein ISC permitted to suppose that the electron was transfered from Fe-protein ISC to Mo-Fe-protein ISC by the contact of the ISC or with the help of ATP molecule.
The amino acid sequence determines the individual protein three-dimensional structure and its functioning in an organism. Therefore, "reading" a protein sequence and determining its changes due to mutations or post-translational modifications is one of the objectives of proteomic experiments. The commonly utilized approach is gradient high-performance liquid chromatography (HPLC) in combination with tandem mass spectrometry. While serving as a way to simplify the protein mixture, the liquid chromatography may be an additional analytical tool providing complementary information about the protein structure. Previous attempts to develop "predictive" HPLC for large biomacromolecules were limited by empirically derived equations based purely on the adsorption mechanisms of the retention and applicable to relatively small polypeptide molecules. A mechanism of the large biomacromolecule retention in reversed-phase gradient HPLC was described recently in thermodynamics terms by the analytical model of liquid chromatography at critical conditions (BioLCCC). In this work, we applied the BioLCCC model to predict retention of the intact proteins as well as their large proteolytic peptides separated under different HPLC conditions. The specific aim of these proof-of-principle studies was to demonstrate the feasibility of using "predictive" HPLC as a complementary tool to support the analysis of identified intact proteins in top-down, middle-down, and/or targeted selected reaction monitoring (SRM)-based proteomic experiments.
An experimental device was constructed as well as hardware and software were designed to register the functional state parameters, i.e. external respiration functions, rhythmic heart activity and general motor activity (including the spastic and epileptic variations), when there is no direct galvanic contact with the patient's body.
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The combination of liquid chromatography (LC) with mass spectrometry (MS) has become a mainstream proteome analysis strategy. In LC-MS, measured masses possess their "universal" scale derived from atomic mass tables. In contrast, the observed LC retention times (RT) are not tied to a conventional time scale, and depend on experimental conditions. However, RT data, being explicitly orthogonal to MS, offer relevant information for proteome characterization. We present here a strategy for peptides RT data standardization, based on the generation of a standard scale using retention prediction models, which enables sharing of identification databases in the context of multi-laboratory research.
The theory of critical chromatography for biomacromolecules (BioLCCC) describes polypeptide retention in reversed-phase HPLC using the basic principles of statistical thermodynamics. However, whether this theory correctly depicts a variety of empirical observations and laws introduced for peptide chromatography over the last decades remains to be determined. In this study, by comparing theoretical results with experimental data, we demonstrate that the BioLCCC: (1) fits the empirical dependence of the polypeptide retention on the amino acid sequence length with R(2) > 0.99 and allows in silico determination of the linear regression coefficients of the log-length correction in the additive model for arbitrary sequences and lengths and (2) predicts the distribution coefficients of polypeptides with an accuracy from 0.98 to 0.99 R(2). The latter enables direct calculation of the retention factors for given solvent compositions and modeling of the migration dynamics of polypeptides separated under isocratic or gradient conditions. The obtained results demonstrate that the suggested theory correctly relates the main aspects of polypeptide separation in reversed-phase HPLC.
Generation of a complex proteome database requires use of powerful analytical methods capable of following rapid changes in the proteome due to changing physiological and pathological states of the organism under study. One of the promising technologies with this regard is the use of so-called Accurate Mass and Time (AMT) tag peptide databases. Generation of an AMT database for a complex proteome requires combined efforts by many research groups and laboratories, but the chromatography data resulting from these efforts are tied to the particular experimental conditions and, in general, are not transferable from one platform to another. In this work, we consider an approach to solve this problem that is based on the generation of a universal scale for the chromatography data using a multiple-point normalization method. The method follows from the concept of linear correlation between chromatography data obtained over a wide range of separation parameters. The method is further tested for tryptic peptide mixtures with experimental data collected from mutual studies by different independent research groups using different separation protocols and mass spectrometry data processing tools.
An approach to sequence-dependent retention time prediction of peptides based on the concept of liquid chromatography at critical conditions (LCCC) is presented. Within the LCCC approach applied to biopolymers (BioLCCC), the specific retention time corresponds to a particular sequence. In combination with mass spectrometry, this approach provides an efficient tool to solve problems wherein the protein sequencing is essential. In this work, we present a theoretical background of the BioLCCC concept and demonstrate experimentally its feasibility for sequence-dependent LC retention time prediction for peptides. BioLCCC model is based on three notions: (a) a random walk model for a macromolecule chain; (b) an entropy and energy compensation for the macromolecules within the adsorbent pore; and (c) a set of phenomenological parameters for the effective interaction energies of interactions between the amino acid residues and the adsorbent surface. In this work, the phenomenological parameters have been obtained for C18 reversed-phase HPLC. Note, that contrary to alternative additive models for retention time prediction based on summation of the so-called "retention coefficients", the BioLCCC approach takes into account the location of amino acids within the primary structure of a peptide and, thus, allows the identification of the peptides having the same composition of amino acids but differing by their arrangement. As a result, this new approach allows prediction of retention time for any possible amino acid sequence in particular HPLC experiments. In addition, the BioLCCC model lacks of main drawbacks of additive approaches that predict retention time for sequences of limited chain lengths and provide information about amino acid composition only. The proposed BioLCCC approach was characterized experimentally using LTQ FT LC-MS and LC-MS/MS data obtained earlier for Escherichia coli. The HPLC system calibration was performed using peptide retention standards. The results received show a linear correlation between predicted and experimental retention times, with a correlation coefficient, R2, of 0.97 for a peptide standard mixture and 0.9 for E. coli data, respectively, with the standard error below 1 min. The work presents the first description of a BioLCCC approach for high-throughput peptide characterization and preliminary results of its feasibility tests.
The authors examined electrodes made of stainless steel, graphitic and metalized polymeric materials for transcutaneous recording of biopotentials from the human services by the following parameters: electrode potential difference, noise voltage, phase difference-signal frequency relationships. If the phase is adequately corrected, the electrode made of graphitic cloth is effective in recording biopotentials at an amplitude of more than 20 microV over a wide frequency range.
An ergonomic method for measuring the late period (LP) of visual perception of human pupillary reaction (PR) is proposed. Variabilities in the similarity of LP of human PR show that the accuracy of measuring PR LP by recording the parameters of perception and pupillometry is similar. The method is recommended for controlling the status and training the visual system of operators who trace several independent moving objects on the display.
The race to build data centers in space is gaining momentum as AI drives unprecedented demand for computing power。 Orbital facilities could tap into abundant solar energy and avoid many of the environmental challenges faced on Earth。 Yet space remains a harsh and expensive place to operate, with major hurdles including cooling, maintenance, radiati