473 research outputs found

    РасчСт индСкса коморбидности ΠΊΠ°ΠΊ Ρ„Π°ΠΊΡ‚ΠΎΡ€Π° риска Ρ€Π΅Ρ†ΠΈΠ΄ΠΈΠ²Π° ΠΏΠ΅Ρ€ΠΈΠΏΡ€ΠΎΡ‚Π΅Π·Π½ΠΎΠΉ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ послС установки спСйсСра ΠΊΠΎΠ»Π΅Π½Π½ΠΎΠ³ΠΎ сустава

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    Background. Patient-related risk factors for periprosthetic joint infection (PJI) are currently investigated in detail. However, the influence of those factors on PJI recurrence and their confounding effect was not investigated. Identifying factors that influence PJI recurrence and establishing the role of each risk factor are important. The study aimed to analyze the comorbidity structure in patients with knee PJI and create, based on obtained data, a rating scale that allows predicting the probability of PJI recurrence after spacer implantation. Methods. A single-center study was conducted based on retrospective data of 161 patients with PJI after primary total knee arthroplasty treated with staged reimplantation from January 2007 to January 2017. To clarify comorbidity structure and the most important risk factors, all patients were divided into two groups: patients with PJI recurrence after spacer implantation (group 1, n = 48) and patients who successfully passed spacer implantation (n = 113, group 2). Based on the obtained data, the frequency of comorbidities was analyzed. The list included 17 points that characterized the presence and severity of different comorbidities. Then, we conducted a logistic regression analysis to identify the significance of each factor and thresholds for the comorbidity index (CI) for the interpretation of the final score. With the presented scale, spacer implantation in the compared groups was analyzed. Results. The most significant comorbidities were anemia, chronic kidney disease, obesity, and cardiovascular pathology. The CI thresholds were calculated, which allowed interpretation of the obtained score. The distribution of patients by risk categories within each group was also analyzed, and differences between groups were determined. The CI value corresponding to the minimal risk of PJI recurrence was more common (p0.0001) in group 1. Moreover, more than half of the patients with failed spacer implantation had a high risk of PJI recurrence according the CI value, and only 6.2% of patients who had successful treatment had CI high value (p0.0001). Conclusions. The multivariate analysis of the presence and severity of concomitant pathologies enabled the development of a comorbidity scale with the calculation of an integral indicator (comorbidity index) and establishment of its threshold values. The proposed CI could be the basis for a combined relapse risk calculator and an algorithm for choosing the surgical treatment strategy in patients with knee PJI, which requires further investigation.ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. Π’ настоящСС врСмя ΠΏΠΎΠ΄Ρ€ΠΎΠ±Π½ΠΎ ΠΈΠ·ΡƒΡ‡Π΅Π½Ρ‹ связанныС с ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠΌ Ρ„Π°ΠΊΡ‚ΠΎΡ€Ρ‹, ΠΏΠΎΠ²Ρ‹ΡˆΠ°ΡŽΡ‰ΠΈΠ΅ риск возникновСния ΠΏΠ΅Ρ€ΠΈΠΏΡ€ΠΎΡ‚Π΅Π·Π½ΠΎΠΉ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ (ППИ), ΠΎΠ΄Π½Π°ΠΊΠΎ влияниС Ρ‚Π΅Ρ… ΠΆΠ΅ Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² Π½Π° риск развития Ρ€Π΅Ρ†ΠΈΠ΄ΠΈΠ²Π° ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ, Π° Ρ‚Π°ΠΊΠΆΠ΅ кумулятивный эффСкт Π½Π΅ΡΠΊΠΎΠ»ΡŒΠΊΠΈΡ… Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π½Π° риск Ρ€Π΅Ρ†ΠΈΠ΄ΠΈΠ²Π° ΠΈΠ·ΡƒΡ‡Π΅Π½Ρ‹ нСдостаточно. ЦСль исслСдования ΠΏΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ структуру ΡΠΎΠΏΡƒΡ‚ΡΡ‚Π²ΡƒΡŽΡ‰Π΅ΠΉ ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ППИ ΠΊΠΎΠ»Π΅Π½Π½ΠΎΠ³ΠΎ сустава ΠΈ Π½Π° основании ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ… ΡΠΎΠ·Π΄Π°Ρ‚ΡŒ ΠΎΡ†Π΅Π½ΠΎΡ‡Π½ΡƒΡŽ ΡˆΠΊΠ°Π»Ρƒ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰ΡƒΡŽ ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ Π²Π΅Ρ€ΠΎΡΡ‚Π½ΠΎΡΡ‚ΡŒ развития Ρ€Π΅Ρ†ΠΈΠ΄ΠΈΠ²Π° ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ послС ΡΠ°Π½ΠΈΡ€ΡƒΡŽΡ‰Π΅Π³ΠΎ этапа ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΈ. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. РСтроспСктивноС ΠΎΠ΄Π½ΠΎΡ†Π΅Π½Ρ‚Ρ€ΠΎΠ²ΠΎΠ΅ ΠΊΠΎΠ³ΠΎΡ€Ρ‚Π½ΠΎΠ΅ исслСдованиС основано Π½Π° ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… ΠΈΠ· мСдицинской Π΄ΠΎΠΊΡƒΠΌΠ΅Π½Ρ‚Π°Ρ†ΠΈΠΈ свСдСниях ΠΎ 161 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π΅ с ППИ послС ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ эндопротСзирования ΠΊΠΎΠ»Π΅Π½Π½ΠΎΠ³ΠΎ сустава, ΠΏΡ€ΠΎΡˆΠ΅Π΄ΡˆΠ΅Π³ΠΎ этапноС Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅ Π·Π° ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ с января 2007 Π³. ΠΏΠΎ ΡΠ½Π²Π°Ρ€ΡŒ 2017 Π³., собранных Π² Ρ…ΠΎΠ΄Π΅ диссСртационного исслСдования. Π‘ Ρ†Π΅Π»ΡŒΡŽ уточнСния структуры коморбидности ΠΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²Π°ΠΆΠ½Ρ‹Ρ… Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² риска Ρ€Π΅Ρ†ΠΈΠ΄ΠΈΠ²Π° ППИ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Ρ€Π°Π·Π΄Π΅Π»ΠΈΠ»ΠΈ Π½Π° Π΄Π²Π΅ Π³Ρ€ΡƒΠΏΠΏΡ‹: Π³Ρ€ΡƒΠΏΠΏΠ° 1 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Ρ‹ с Ρ€Π΅Ρ†ΠΈΠ΄ΠΈΠ²Π°ΠΌΠΈ ППИ послС выполнСния ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ этапа лСчСния 48 Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊ; Π³Ρ€ΡƒΠΏΠΏΠ° 2 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Ρ‹ с ППИ, ΡƒΡΠΏΠ΅ΡˆΠ½ΠΎ ΠΏΡ€ΠΎΡˆΠ΅Π΄ΡˆΠΈΠ΅ ΠΏΠ΅Ρ€Π²Ρ‹ΠΉ этап (имплантация спСйсСра) 113 Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊ. ΠŸΡ€ΠΈ Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½ΠΈΠΈ диссСртационного исслСдования ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ Π°Π²Ρ‚ΠΎΡ€Π° (П.М.П.) Π±Ρ‹Π» сформирован ΠΏΠ΅Ρ€Π΅Ρ‡Π΅Π½ΡŒ ΡΠΎΠΏΡƒΡ‚ΡΡ‚Π²ΡƒΡŽΡ‰Π΅ΠΉ ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ, состоящий ΠΈΠ· 17 ΠΏΡƒΠ½ΠΊΡ‚ΠΎΠ², Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΡƒΡŽΡ‰ΠΈΡ… Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ ΠΈ Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½Π½ΠΎΡΡ‚ΡŒ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… ΡΠΎΠΏΡƒΡ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ. Π’ дальнСйшСм ΠΏΡ€ΠΈ ΠΏΠΎΠΌΠΎΡ‰ΠΈ ΠΌΡƒΠ»ΡŒΡ‚ΠΈΡ„Π°ΠΊΡ‚ΠΎΡ€Π½ΠΎΠ³ΠΎ статистичСского Π°Π½Π°Π»ΠΈΠ·Π° с использованиСм ΠΌΠ΅Ρ‚ΠΎΠ΄Π° классификационных Π΄Π΅Ρ€Π΅Π²ΡŒΠ΅Π² опрСдСляли Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒ ΠΊΠ°ΠΆΠ΄ΠΎΠΉ ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΏΠΎΡ€ΠΎΠ³ΠΎΠ²Ρ‹Π΅ значСния для суммарного Π±Π°Π»Π»Π° ΠΏΠΎ сформулированной шкалС коморбидности (индСкса коморбидности) для ΠΈΠ½Ρ‚Π΅Ρ€ΠΏΡ€Π΅Ρ‚Π°Ρ†ΠΈΠΈ ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ². Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Наибольшая Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒ срСди ΠΏΡ€ΠΎΡ‡ΠΈΡ… Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² ΠΏΡ€ΠΈΠ½Π°Π΄Π»Π΅ΠΆΠΈΡ‚ хроничСской ΠΆΠ΅Π»Π΅Π·ΠΎΠ΄Π΅Ρ„ΠΈΡ†ΠΈΡ‚Π½ΠΎΠΉ Π°Π½Π΅ΠΌΠΈΠΈ, заболСваниям ΠΏΠΎΡ‡Π΅ΠΊ, ΠΎΠΆΠΈΡ€Π΅Π½ΠΈΡŽ ΠΈ ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ сСрдСчно-сосудистой систСмы. УстановлСны значСния ΠΏΠΎΡ€ΠΎΠ³ΠΎΠ²Ρ‹Ρ… ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² индСкса коморбидности, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰ΠΈΠ΅ Ρ‚Ρ€Π°ΠΊΡ‚ΠΎΠ²Π°Ρ‚ΡŒ ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹ΠΉ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚. ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΎ распрСдСлСниС ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² ΠΏΠΎ катСгориям риска Π²Π½ΡƒΡ‚Ρ€ΠΈ ΠΊΠ°ΠΆΠ΄ΠΎΠΉ Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΈ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Ρ‹ ΠΌΠ΅ΠΆΠ³Ρ€ΡƒΠΏΠΏΠΎΠ²Ρ‹Π΅ различия. Π—Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ индСкса, ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰Π΅Π΅ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡŒΠ½ΠΎΠΌΡƒ риску Ρ€Π΅Ρ†ΠΈΠ΄ΠΈΠ²Π° ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ, Ρ‡Π°Ρ‰Π΅ Π²ΡΡ‚Ρ€Π΅Ρ‡Π°Π»ΠΎΡΡŒ Π² Π³Ρ€ΡƒΠΏΠΏΠ΅ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Π±Π΅Π· Ρ€Π΅Ρ†ΠΈΠ΄ΠΈΠ²Π° ППИ (p0,0001). Π‘ΠΎΠ»Π΅Π΅ ΠΏΠΎΠ»ΠΎΠ²ΠΈΠ½Ρ‹ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π½Π΅ΡƒΠ΄Π°Ρ‡Π½Ρ‹ΠΌΠΈ ΠΏΠΎΠΏΡ‹Ρ‚ΠΊΠ°ΠΌΠΈ санации ΠΎΡ‡Π°Π³Π° ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ воспалСния ΠΈΠΌΠ΅Π»ΠΈ высокий риск, ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°ΠΌΠΈ Π±Π΅Π· Ρ€Π΅Ρ†ΠΈΠ΄ΠΈΠ²Π° ППИ. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΠΌΠ½ΠΎΠ³ΠΎΡ„Π°ΠΊΡ‚ΠΎΡ€Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° наличия ΠΈ выраТСнности ΡΠΎΠΏΡƒΡ‚ΡΡ‚Π²ΡƒΡŽΡ‰Π΅ΠΉ ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Ρ‚ΡŒ ΡˆΠΊΠ°Π»Ρƒ коморбидности с расчСтом ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ показатСля (индСкса коморбидности) ΠΈ ΡƒΡΡ‚Π°Π½ΠΎΠ²ΠΈΡ‚ΡŒ Π΅Π³ΠΎ ΠΏΠΎΡ€ΠΎΠ³ΠΎΠ²Ρ‹Π΅ значСния. ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π½Ρ‹ΠΉ индСкс коморбидности ΠΌΠΎΠΆΠ΅Ρ‚ Π»Π΅Ρ‡ΡŒ Π² основу объСдинСнного ΠΊΠ°Π»ΡŒΠΊΡƒΠ»ΡΡ‚ΠΎΡ€Π° риска Ρ€Π΅Ρ†ΠΈΠ΄ΠΈΠ²Π° ΠΈ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° Ρ‚Π°ΠΊΡ‚ΠΈΠΊΠΈ Π²Ρ‹Π±ΠΎΡ€Π° хирургичСского лСчСния Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ППИ ΠΊΠΎΠ»Π΅Π½Π½ΠΎΠ³ΠΎ сустава, Ρ‡Ρ‚ΠΎ Ρ‚Ρ€Π΅Π±ΡƒΠ΅Ρ‚ Π΄Π°Π»ΡŒΠ½Π΅ΠΉΡˆΠΈΡ… исслСдований

    Optimizing Acoustic Array Beamforming to Aid a Speech Recognition System

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    The iBrutus is a pilot project at the Computer Science and Engineering (CSE) department at OSU which develops human-computer interaction via spoken dialog. The goal of the iBrutus project is to design a kiosk with a talking avatar on a screen which will answer questions at a public event like a football game at a potentially noisy environment like the Ohio Stadium. In such an environment, the speech recognition software employed by the system would be ineffective without prior processing to obtain a cleaner speech signal. As a rule of thumb, if the iBrutus could correctly interpret 70% or more words, it could successfully to map the input to a known question/command. To improve the speech recognition rate the author has chosen to research a beamforming algorithm. Such an algorithm combines inputs of from a microphone array to minimize the interference while preserving the desired signal (i.e. speech arriving from a known direction/location). The goal of the research has been to develop such an algorithm and a means of testing to determine which parameters associated with the algorithm – such as the spatial geometry of the microphone array – will produce the desired speech recognition rate in minimum processing time. The beamforming algorithm designed by the author in MATLAB was frequency based wideband Minimum Variance Distortionless Response (MVDR). Tests showed that at least 70% word recognition rate could be achieved under certain parameter choices. The processing time of the MATLAB-based algorithm is currently larger than desired for use with iBrutus, but there is potential for improvement.No embarg

    ЭмичСскиС Π΅Π΄ΠΈΠ½ΠΈΡ†Ρ‹ ΠΈ лингвистика стиха (ΠΎ статусС ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ ΠΏΠ΅ΠΎΠ½Π°)

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    Besides meter and rhyme, constructs independent of on the syntactic and intonation border of an utterance, we suggest considering a complex unit (a verseme) describing a verse segment as a primary element of the poetic syntax.Помимо Ρ€Π°Π·ΠΌΠ΅Ρ€Π° ΠΈ Ρ€ΠΈΡ‚ΠΌΠ° - конструктов, Π±Π΅Π·ΠΎΡ‚Π½ΠΎΡΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… ΠΊ синтаксичСской ΠΈ ΠΈΠ½Ρ‚ΠΎΠ½Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ Π³Ρ€Π°Π½ΠΈΡ†Π΅ высказывания, - Π² ΡΡ‚Π°Ρ‚ΡŒΠ΅ прСдлагаСтся Ρ€Π°ΡΡΠΌΠΎΡ‚Ρ€Π΅Ρ‚ΡŒ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡƒΡŽ Π΅Π΄ΠΈΠ½ΠΈΡ†Ρƒ (стихСму), ΠΎΠΏΠΈΡΡ‹Π²Π°ΡŽΡ‰ΡƒΡŽ стиховой сСгмСнт ΠΊΠ°ΠΊ пСрвоэлСмСнт стихотворного синтаксиса

    The International Conference β€˜Vilnius::Heterotopies’ September, 19β€”20 th, 2013

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    Coupling of the lattice and superlattice deformations and hysteresis in thermal expansion for the quasi one-dimensional conductor TaS3_3

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    An original interferometer-based setup for measurements of length of needle-like samples is developed, and thermal expansion of o-TaS3_3 crystals is studied. Below the Peierls transition the temperature hysteresis of length LL is observed, the width of the hysteresis loop Ξ΄L/L\delta L/L being up to 5β‹…10βˆ’55 \cdot 10^{-5}. The behavior of the loop is anomalous: the length changes so that it is in front of its equilibrium value. The hysteresis loop couples with that of conductivity. The sign and the value of the length hysteresis are consistent with the strain dependence of the charge-density waves (CDW) wave vector. With lowering temperature down to 100 K the CDW elastic modulus grows achieving a value comparable with the lattice Young modulus. Our results could be helpful in consideration of different systems with intrinsic superstructures.Comment: 4 pages, 3 figures. Phys. Rev. Lett., accepted for publicatio

    О.М. Π‘Ρ€ΠΈΠΊ β€” Ρ‚Π΅ΠΎΡ€Π΅Ρ‚ΠΈΠΊ ΠΈ ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊ «русского Ρ„ΠΎΡ€ΠΌΠ°Π»ΠΈΠ·ΠΌΠ°Β» (Ρ€Π°Π·ΠΌΡ‹ΡˆΠ»Π΅Π½ΠΈΡ ΠΈ Ρ…Ρ€ΠΎΠ½ΠΈΠΊΠΈ)

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    The article touches upon a revaluation of O. Brik’s role in the forming of β€œRussian formalism” methods in all its numerous theoretical and practical aspects. It also includes the analysis of the results of two scientific conferences: Osip Brik International Colloquium-I and Osip Brik International Colloquium-II.Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ рассматриваСтся вопрос ΠΎ ΠΏΠ΅Ρ€Π΅ΠΎΡ†Π΅Π½ΠΊΠ΅ Ρ€ΠΎΠ»ΠΈ О.М.Π‘Ρ€ΠΈΠΊΠ° Π² Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ «русского Ρ„ΠΎΡ€ΠΌΠ°Π»ΠΈΠ·ΠΌΠ°Β» Π²ΠΎ всСх Π΅Π³ΠΎ многочислСнных тСорСтичСских ΠΈ практичСских аспСктах, Π°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΡƒΡŽΡ‚ΡΡ ΠΈΡ‚ΠΎΠ³ΠΈ I ΠΈ II Бриковских Ρ‡Ρ‚Π΅Π½ΠΈΠΉ

    ΠœΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Π°Ρ конфСрСнция Β«Π’ΠΈΠ»ΡŒΠ½ΡŽΡ::Π“Π΅Ρ‚Π΅Ρ€ΠΎΡ‚ΠΎΠΏΠΈΠΈΒ», 19β€”21 сСнтября 2013 Π³., Π’ΠΈΠ»ΡŒΠ½ΠΎ-Π’ΠΈΠ»ΡŒΠ½Π°-Π’ΠΈΠ»ΡŒΠ½ΡŽΡ, Π›ΠΈΡ‚Π²Π°

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    ΠŸΠΎΡΡ‚ΠΈΠΊΠ° стихотворной Ρ€Π΅Ρ‡ΠΈ: ΠΊΠΎΠΌΠΌΡƒΠ½ΠΈΠΊΠ°Ρ‚ΠΈΠ²Π½Ρ‹ΠΉ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π» двухсловного стиха

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    The article describes the communicative potential of a two-component verse from the point of view of the topic-comment articulation of a sentence and its expressive means.Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ рассматриваСтся ΠΊΠΎΠΌΠΌΡƒΠ½ΠΈΠΊΠ°Ρ‚ΠΈΠ²Π½Ρ‹ΠΉ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π» двухсловного стиха с Ρ‚ΠΎΡ‡ΠΊΠΈ зрСния Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ члСнСния прСдлоТСния-высказывания ΠΈ Π΅Π³ΠΎ экспрСссивных возмоТностСй
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