169 research outputs found
Mathematical simulation of the near-bottom section of an ascending twisting flow
The available results of laboratory experiments on the formation of free vortices and controlling of their behavior are compared with the results of mathematical simulation of corresponding flows. This is accomplished by constructing solutions for a set of gas dynamics equations. The comparison is performed for a specific scheme of origination and functioning of free ascending twisting flows. In particular, it is shown that the experimental results confirm the proposed scheme of the origination and initial twisting of ascending vortex flows and validate the reason of their stable functioning with the help of the method intended for controlling generated vortices using vertical grids which was implemented in the experiments. The fact of origination of an ascending flow twisting and its directing is mathematically substantiated using the solution to a specific initially edge problem for a set of gas dynamics equations. A stationary flow whose parameters are close to gas-dynamic parameters of free vortices reproduced in the experiments is calculated. Β© 2013 Pleiades Publishing, Ltd
INTEGRATION OF THE FOOD INDUSTRY AND RELATED SECTORS BASED ON THE CLUSTER APPROACH
In a diversified agro-industrial complex structure of the Voronezh region there are more than 200 enterprises of food and processing industry. However, due to the growth disparity in prices for agricultural and industrial products, the collapse of a single process has been a sharp decline in the production of final products of agribusiness. In the conditions of Russia's accession to the WTO and the growth in this regard competition in the market of raw materials and finished products, problems of high relevance of search for effective strategies for the development of the food industry. The emphasis of these reforms should be a priori biased towards the crea tion of favorable conditions for the formation of optimal institutional innovation structures and prospects of development of the national agro-food system at all levels. In this regard, the formation of institutional models of integration in the agricultural sector, we regard the system approach, where the newly created integrated structure is defined as a social institution, characterized by composition, structure, objectives, functions, internal and external bounding box defined inputs and outputs. Under these conditions, there is a need to develop partnerships and coo peration between enterprises of the technological chain of the final product agribusiness, finds its expression in a variety of forms, one of which is the formation of clusters, creating the conditions for effective interaction of producers of raw materials and finished products, research and educational institutions, service infrastructure of organizations and representatives of other areas to ensure. However, the analysis showed that, across a variety of alternative strategies for the development of the food industry, the most optimal in today's economic conditions appear to integration strategies that involve the union of disparate market participants on the principles of economic integr ation, which results in a synergy by eliminating irrational mediation
Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology
Every culture and language is unique. Our work expressly focuses on the
uniqueness of culture and language in relation to human affect, specifically
sentiment and emotion semantics, and how they manifest in social multimedia. We
develop sets of sentiment- and emotion-polarized visual concepts by adapting
semantic structures called adjective-noun pairs, originally introduced by Borth
et al. (2013), but in a multilingual context. We propose a new
language-dependent method for automatic discovery of these adjective-noun
constructs. We show how this pipeline can be applied on a social multimedia
platform for the creation of a large-scale multilingual visual sentiment
concept ontology (MVSO). Unlike the flat structure in Borth et al. (2013), our
unified ontology is organized hierarchically by multilingual clusters of
visually detectable nouns and subclusters of emotionally biased versions of
these nouns. In addition, we present an image-based prediction task to show how
generalizable language-specific models are in a multilingual context. A new,
publicly available dataset of >15.6K sentiment-biased visual concepts across 12
languages with language-specific detector banks, >7.36M images and their
metadata is also released.Comment: 11 pages, to appear at ACM MM'1
Cart-O-matic project : autonomous and collaborative multi-robot localization, exploration and mapping
International audienceThe aim of the Cart-O-matic project was to design and build a multi-robot system able to autonomously map an unknown building. This work has been done in the framework of a French robotics contest called Defi CAROTTE organized by the General Delegation for Armaments (DGA) and the French National Research Agency (ANR). The scientific issues of this project deal with Simultaneous Localization And Mapping (SLAM), multi-robot collaboration and object recognition. In this paper, we will mainly focussed on the two first topics : after a general introduction, we will briefly describe the innovative simultaneous localization and mapping algorithm used during the competition. We will next explain how this algorithm can deal with multi-robots systems and 3D mapping. The next part of the paper will be dedicated to the multi-robot pathplanning and exploration strategy. The last section will illustrate the results with 2D and 3D maps, collaborative exploration strategies and example of planned trajectories
Mass Varying Neutrinos, Quintessence, and the Accelerating Expansion of the Universe
We analyze the Mass Varying Neutrino (MaVaN) scenario. We consider a minimal
model of massless Dirac fermions coupled to a scalar field, mainly in the
framework of finite temperature quantum field theory. We demonstrate that the
mass equation we find has non-trivial solutions only for special classes of
potentials, and only within certain temperature intervals. We give most of our
results for the Ratra-Peebles Dark Energy (DE) potential. The thermal
(temporal) evolution of the model is analyzed. Following the time arrow, the
stable, metastable and unstable phases are predicted. The model predicts that
the present Universe is below its critical temperature and accelerates. At the
critical point the Universe undergoes a first-order phase transition from the
(meta)stable oscillatory regime to the unstable rolling regime of the DE field.
This conclusion agrees with the original idea of quintessence as a force making
the Universe roll towards its true vacuum with zero \Lambda-term. The present
MaVaN scenario is free from the coincidence problem, since both the DE density
and the neutrino mass are determined by the scale M of the potential. Choosing
M ~ 10^{-3} eV to match the present DE density, we can obtain the present
neutrino mass in the range m ~ 10^{-2}-1 eV and consistent estimates for other
parameters of the Universe.Comment: 29 pages, 7 figures. V. 3: Analysis of the dynamics of the Universe
and some refs. added; extended version to be published in PR
Cosmological zoo -- accelerating models with dark energy
ecent observations of type Ia supernovae indicate that the Universe is in an
accelerating phase of expansion. The fundamental quest in theoretical cosmology
is to identify the origin of this phenomenon. In principle there are two
possibilities: 1) the presence of matter which violates the strong energy
condition (a substantial form of dark energy), 2) modified Friedmann equations
(Cardassian models -- a non-substantial form of dark matter). We classify all
these models in terms of 2-dimensional dynamical systems of the Newtonian type.
We search for generic properties of the models. It is achieved with the help of
Peixoto's theorem for dynamical system on the Poincar{\'e} sphere. We find that
the notion of structural stability can be useful to distinguish the generic
cases of evolutional paths with acceleration. We find that, while the
CDM models and phantom models are typical accelerating models, the
cosmological models with bouncing phase are non-generic in the space of all
planar dynamical systems. We derive the universal shape of potential function
which gives rise to presently accelerating models. Our results show explicitly
the advantages of using a potential function (instead of the equation of state)
to probe the origin of the present acceleration. We argue that simplicity and
genericity are the best guide in understanding our Universe and its
acceleration.Comment: RevTeX4, 23 pages, 10 figure
ΠΠ‘Π’Π ΠΠ― ΠΠ ΠΠΠΠΠΠΠ£ΠΠΠ§ΠΠΠΠΠ― ΠΠΠΠΠ‘Π’ΠΠ’ΠΠ§ΠΠΠ‘Π’Π¬
From the beginning of this century, clinicians started to pay more attention to the right ventricular dysfunction. It is related to the thorough studying of pathologies, during which the right ventricular dysfunction plays the key role, such as pulmonary hypertension, congenital heart disorders, andΒ thromboembolia of the pulmonary artery. Currently, it has been proved that acute right ventricular failure makes 3-9% of all acute heart failures, the hospital lethality in these clinical situations makes from 5 to 17%. The objective of the literature review is to provide anesthesiologists andΒ emergency physicians with information on modern approaches to diagnostics and treatment of acute right ventricular failure.The review presents data on normal anatomy and physiology of the right ventricle, morphological and functional changes when various forms ofΒ acute right ventricular failure develop. Diagnostics and comprehensive intensive care are described for the two most frequent types of acute right ventricular failure, which are reduction of right ventricular contractility and its overloading with afterload.ΠΠ°ΡΠ°Π»ΠΎ Π½Π°ΡΡΠΎΡΡΠ΅Π³ΠΎ ΡΡΠΎΠ»Π΅ΡΠΈΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΠ΅ΡΡΡ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠ° ΡΠΎ ΡΡΠΎΡΠΎΠ½Ρ ΠΊΠ»ΠΈΠ½ΠΈΡΠΈΡΡΠΎΠ² ΠΊ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ΅ Π΄ΠΈΡΡΡΠ½ΠΊΡΠΈΠΈ ΠΏΡΠ°Π²ΠΎΠ³ΠΎ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠΊΠ°. Π‘Π²ΡΠ·Π°Π½ΠΎ ΡΡΠΎ Ρ Π³Π»ΡΠ±ΠΎΠΊΠΈΠΌ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΎΡΡΠΎΡΠ½ΠΈΠΉ, Π² ΡΠ΅ΡΠ΅Π½ΠΈΠΈ ΠΊΠΎΡΠΎΡΡΡ
ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ ΠΏΡΠ°Π²ΠΎΠ³ΠΎ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠΊΠ° Π½ΠΎΡΡΡ ΠΊΠ»ΡΡΠ΅Π²ΡΡ ΡΠΎΠ»Ρ, ΡΠ°ΠΊΠΈΡ
ΠΊΠ°ΠΊ Π»Π΅Π³ΠΎΡΠ½Π°Ρ Π³ΠΈΠΏΠ΅ΡΡΠ΅Π½Π·ΠΈΡ, Π²ΡΠΎΠΆΠ΄Π΅Π½Π½ΡΠ΅ ΠΏΠΎΡΠΎΠΊΠΈ ΡΠ΅ΡΠ΄ΡΠ°, ΡΡΠΎΠΌΠ±ΠΎΡΠΌΠ±ΠΎΠ»ΠΈΡ Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ Π°ΡΡΠ΅ΡΠΈΠΈ. Π‘Π΅Π³ΠΎΠ΄Π½Ρ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΡΠ΅Π΄ΠΈ Π²ΡΠ΅Ρ
ΡΠ»ΡΡΠ°Π΅Π² ΠΎΡΡΡΠΎΠΉ ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎΠΉ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΠΈ Π½Π° Π΄ΠΎΠ»Ρ ΠΎΡΡΡΠΎΠΉ ΠΏΡΠ°Π²ΠΎΠΆΠ΅Π»ΡΠ΄ΠΎΡΠΊΠΎΠ²ΠΎΠΉ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΏΡΠΈΡ
ΠΎΠ΄ΠΈΡΡΡ 3β9%, Π³ΠΎΡΠΏΠΈΡΠ°Π»ΡΠ½Π°Ρ Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΡΡΡ Π² ΡΡΠΈΡ
ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΡΡΠ°ΡΠΈΡΡ
ΡΠΎΡΡΠ°Π²Π»ΡΠ΅Ρ ΠΎΡ 5 Π΄ΠΎ 17%. Π¦Π΅Π»Ρ ΠΎΠ±Π·ΠΎΡΠ° Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΡ β ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ Π°Π½Π΅ΡΡΠ΅Π·ΠΈΠΎΠ»ΠΎΠ³Π°ΠΌ-ΡΠ΅Π°Π½ΠΈΠΌΠ°ΡΠΎΠ»ΠΎΠ³Π°ΠΌ ΡΠ²Π΅Π΄Π΅Π½ΠΈΠΉ ΠΎ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π°Ρ
ΠΊ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅ ΠΈ Π»Π΅ΡΠ΅Π½ΠΈΡ ΠΎΡΡΡΠΎΠΉ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΏΡΠ°Π²ΠΎΠ³ΠΎ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠΊΠ°.Π ΠΎΠ±Π·ΠΎΡΠ΅ ΠΏΡΠΈΠ²Π΅Π΄Π΅Π½Ρ Π΄Π°Π½Π½ΡΠ΅ ΠΎ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΠΎΠΉ Π°Π½Π°ΡΠΎΠΌΠΈΠΈ ΠΈ ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΏΡΠ°Π²ΠΎΠ³ΠΎ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠΊΠ°, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΎ ΠΌΠΎΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡΡ
ΠΏΡΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠΎΡΠΌ ΠΎΡΡΡΠΎΠΉ ΠΏΡΠ°Π²ΠΎΠΆΠ΅Π»ΡΠ΄ΠΎΡΠΊΠΎΠ²ΠΎΠΉ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΠΈ. ΠΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ° ΠΈ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½Π°Ρ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½Π°Ρ ΡΠ΅ΡΠ°ΠΏΠΈΡ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π΄Π»Ρ Π΄Π²ΡΡ
Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΡΡ
ΡΠΈΠΏΠΎΠ² ΠΎΡΡΡΠΎΠΉ ΠΏΡΠ°Π²ΠΎΠΆΠ΅Π»ΡΠ΄ΠΎΡΠΊΠΎΠ²ΠΎΠΉ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΠΈ β ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ ΡΠΎΠΊΡΠ°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ ΠΏΡΠ°Π²ΠΎΠ³ΠΎ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠΊΠ° ΠΈ Π΅Π³ΠΎ ΠΏΠ΅ΡΠ΅Π³ΡΡΠ·ΠΊΠΈ ΠΏΠΎΡΡΠ½Π°Π³ΡΡΠ·ΠΊΠΎΠΉ
ΠΡΠ΅Π½ΠΊΠ° ΡΠΈΡΠΊΠ° ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠ½ΠΎ-ΠΊΠΈΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°
The aim of the study was to develop a risk model for upper gastrointestinal tract (GIT) bleeding in patients with brain injury of various etiologies.Material and methods. Case histories of 33 patients were included into a retrospective descriptive study: 22 patients had severe brain injury of various etiologies, and 11 patients after elective surgery for cerebral aneurisms with uneventful postop period were taken for comparison. The patients were grouped in two arms: Group 1 included patients with obvious signs of GIT bleeding (N=11) and Group 2 had no obvious signs of bleeding (N=22). Complaints, life and medical history, comorbidities, specialistsβ exams data, results of laboratory and instrumental examinations, therapeutic regimens were analyzed. Presence of disproportionate pathologic sympathetic overreaction to acute brain injury, i.e., paroxysmal sympathetic hyperactivity (PSH), was assessed on admission and on Days 1, 3 and 5 after brain injury.Β Results. A model for upper GIT bleeding risk assessment was designed using logistic regression. The resulting model gains high quality rating: ΟΒ²=33,78, 3; p<0,001; OR=315. The risk of upper GIT bleeding exceeded 95% in patients having combination of 4 symptoms in their medical history (presence of PSH on Day 1 after acute brain injury; Karnofsky performance scale index 75; lack of neurovegetative stabilization in the acute period of brain injury; gastric and/or duodenal ulcer).Conclusion. Determining the risk factors thresholds enables stratification of patients by the risk for upper GIT bleeding. Modification of the identified four risk factors (presence of PSH on Day 1after acute brain injury; Karnofsky performance scale index 75; lack of neurovegetative stabilization in the acute period of brain injury; gastric and/or duodenal ulcer) will probably reduce the occurrence of upper GIT bleeding in patients with acute brane injury of various etiology.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠΈΡΠΊΠ° ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠ½ΠΎ-ΠΊΠΈΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΈΠ· ΠΆΠ΅Π»ΡΠ΄ΠΊΠ° ΠΈ Π΄Π²Π΅Π½Π°Π΄ΡΠ°ΡΠΈΠΏΠ΅ΡΡΡΠ½ΠΎΠΉ ΠΊΠΈΡΠΊΠΈ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΉ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ.Β ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΠΎΠΏΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΠΊΠ»ΡΡΠΈΠ»ΠΈ ΠΈΡΡΠΎΡΠΈΠΈ Π±ΠΎΠ»Π΅Π·Π½ΠΈ 33-Ρ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ²: 22 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² β Ρ ΡΡΠΆΠ΅Π»ΡΠΌ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΉ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ, Π΄Π»Ρ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ, 11 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² β Ρ Π°Π½Π΅Π²ΡΠΈΠ·ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±ΠΎΠ»Π΅Π·Π½ΡΡ ΡΠΎΡΡΠ΄ΠΎΠ² Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° Ρ Π½Π΅ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½Π½ΡΠΌ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΠΎΡΠ»Π΅ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠ΅ΡΠΈΠΎΠ΄Π° ΠΏΠΎΡΠ»Π΅ ΠΏΠ»Π°Π½ΠΎΠ²ΡΡ
Π½Π΅ΠΉΡΠΎΡ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π²ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ². ΠΡΠ΅Ρ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΡΠ°Π·Π΄Π΅Π»ΠΈΠ»ΠΈ Π½Π° 2 Π³ΡΡΠΏΠΏΡ: Ρ ΡΠ²Π½ΡΠΌΠΈ ΠΏΡΠΈΠ·Π½Π°ΠΊΠ°ΠΌΠΈ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΈΠ· ΠΠΠ’ (n=11) ΠΈ Π±Π΅Π· ΡΠ²Π½ΡΡ
ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ (n=22). ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π»ΠΈ ΠΆΠ°Π»ΠΎΠ±Ρ, Π°Π½Π°ΠΌΠ½Π΅Π· Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ ΠΈ ΠΆΠΈΠ·Π½ΠΈ, ΡΠΎΠΏΡΡΡΡΠ²ΡΡΡΠΈΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ, Π΄Π°Π½Π½ΡΠ΅ ΠΎΡΠΌΠΎΡΡΠΎΠ² ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠΎΠ², ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΡ
ΠΈ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ, ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ. Π€ΡΠ½ΠΊΡΠΈΠΈ Π²Π΅Π³Π΅ΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ Π½Π΅ΡΠ²Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π»ΠΈ ΠΏΠΎ ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΡΠΌ ΠΏΠ°ΡΠΎΠΊΡΠΈΠ·ΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΈΠΌΠΏΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π³ΠΈΠΏΠ΅ΡΠ°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ (ΠΠ‘ΠΠ) ΠΏΡΠΈ ΠΏΠΎΡΡΡΠΏΠ»Π΅Π½ΠΈΠΈ Π² ΡΡΠ°ΡΠΈΠΎΠ½Π°Ρ, Π½Π° 1-Π΅, 3-ΠΈ ΠΈ 5-Π΅ ΡΡΡ ΠΏΠΎΡΠ»Π΅ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ ΠΠ.Β Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. Π‘ΡΠ΅Π΄ΡΡΠ²Π°ΠΌΠΈ Π»ΠΎΠ³ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΈ ΠΏΠΎΡΡΡΠΎΠΈΠ»ΠΈ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΈΡΠΊΠ° ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ²Π½ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΈΠ· Π²Π΅ΡΡ
Π½ΠΈΡ
ΠΎΡΠ΄Π΅Π»ΠΎΠ² ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠ½ΠΎ-ΠΊΠΈΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΠΊΡΠ°. ΠΠΎΠ»ΡΡΠ΅Π½Π½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΎΠ±Π»Π°Π΄Π°Π΅Ρ Π²ΡΡΠΎΠΊΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΎΠΉ ΠΊΠ°ΡΠ΅ΡΡΠ²Π°: ΟΒ²=33,78, 3; p<0,001; OR=315. ΠΡΠΈ ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠΈ Π² Π°Π½Π°ΠΌΠ½Π΅Π·Π΅ 4-Ρ
ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² (ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΠΠ‘ΠΠ Π² 1-Π΅ ΡΡΡ ΠΏΠΎΡΠ»Π΅ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°; ΠΈΠ½Π΄Π΅ΠΊΡ ΠΠ°ΡΠ½ΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΠΌΠ΅Π½Π΅Π΅ 75; ΠΎΡΡΡΡΡΡΠ²ΠΈΠ΅ Π½Π΅ΠΉΡΠΎΠ²Π΅Π³Π΅ΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ ΡΡΠ°Π±ΠΈΠ»ΠΈΠ·Π°ΡΠΈΠΈ Π² ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°; ΡΠ·Π²Π΅Π½Π½Π°Ρ Π±ΠΎΠ»Π΅Π·Π½Ρ ΠΆΠ΅Π»ΡΠ΄ΠΊΠ° ΠΈ Π΄Π²Π΅Π½Π°Π΄ΡΠ°ΡΠΈΠΏΠ΅ΡΡΡΠ½ΠΎΠΉ ΠΊΠΈΡΠΊΠΈ (ΠΠΠ)) ΡΠΈΡΠΊ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ²Π½ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΈΠ· Π²Π΅ΡΡ
Π½ΠΈΡ
ΠΎΡΠ΄Π΅Π»ΠΎΠ² ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠ½ΠΎ-ΠΊΠΈΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΠΊΡΠ° ΠΏΡΠ΅Π²ΡΡΠ°Π» 95%.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΡΠ΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΏΠΎΡΠΎΠ³ΠΎΠ²ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠΈΡΠΊΠ° ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠ°Π·Π΄Π΅Π»ΠΈΡΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π½Π° Π³ΡΡΠΏΠΏΡ ΡΠΈΡΠΊΠ° ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΠΉ ΠΈΠ· Π²Π΅ΡΡ
Π½ΠΈΡ
ΠΎΡΠ΄Π΅Π»ΠΎΠ² ΠΠΠ’. ΠΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ Π½Π° Π²ΡΡΠ²Π»Π΅Π½Π½ΡΠ΅ 4 ΡΠ°ΠΊΡΠΎΡΠ° ΡΠΈΡΠΊΠ° (ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΡ ΠΠ‘ΠΠ Π² 1-Π΅ ΡΡΡ ΠΏΠΎΡΠ»Π΅ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°; ΠΈΠ½Π΄Π΅ΠΊΡ ΠΠ°ΡΠ½ΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΠΌΠ΅Π½Π΅Π΅ 75; ΠΎΡΡΡΡΡΡΠ²ΠΈΠ΅ Π½Π΅ΠΉΡΠΎΠ²Π΅Π³Π΅ΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ ΡΡΠ°Π±ΠΈΠ»ΠΈΠ·Π°ΡΠΈΠΈ Π² ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°; ΡΠ·Π²Π΅Π½Π½Π°Ρ Π±ΠΎΠ»Π΅Π·Π½Ρ ΠΆΠ΅Π»ΡΠ΄ΠΊΠ° ΠΈ ΠΠΠ) ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ, Π²Π΅ΡΠΎΡΡΠ½ΠΎ, ΡΠ½ΠΈΠ·ΠΈΡΡ ΡΠ°ΡΡΠΎΡΡ ΠΠΠ ΠΈΠ· Π²Π΅ΡΡ
Π½ΠΈΡ
ΠΎΡΠ΄Π΅Π»ΠΎΠ² ΠΠΠ’ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ ΠΠ ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΉ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ.
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