78 research outputs found

    Calculation of ion structure factors in warm dense matter

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    Cluster virial expansion for the equation of state of partially ionized hydrogen plasma

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    We study the contribution of electron-atom interaction to the equation of state for partially ionized hydrogen plasma using the cluster-virial expansion. For the first time, we use the Beth-Uhlenbeck approach to calculate the second virial coefficient for the electron-atom (bound cluster) pair from the corresponding scattering phase-shifts and binding energies. Experimental scattering cross-sections as well as phase-shifts calculated on the basis of different pseudopotential models are used as an input for the Beth-Uhlenbeck formula. By including Pauli blocking and screening in the phase-shift calculation, we generalize the cluster-virial expansion in order to cover also near solid density plasmas. We present results for the electron-atom contribution to the virial expansion and the corresponding equation of state, i.e. pressure, composition, and chemical potential as a function of density and temperature. These results are compared with semi-empirical approaches to the thermodynamics of partially ionized plasmas. Avoiding any ill-founded input quantities, the Beth-Uhlenbeck second virial coefficient for the electron-atom interaction represents a benchmark for other, semi-empirical approaches.Comment: 16 pages, 10 figures, and 5 tables, resubmitted to PR

    Π‘ΠΎΠ·Π΄Π°Π½ΠΈΠ΅ ΠΊΠΎΠ»Π»Π΅ΠΊΡ†ΠΈΠΈ МБКВ-ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ ΠΈ клиничСских Π΄Π°Π½Π½Ρ‹Ρ… ΠΏΡ€ΠΈ острых Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΡΡ… ΠΌΠΎΠ·Π³ΠΎΠ²ΠΎΠ³ΠΎ кровообращСния

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    Background The use of neuroimaging methods is an integral part of the process of assisting patients with acute cerebrovascular events (ACVE), and computed tomography (CT) is the Β«gold standardΒ» for examining this category of patients. The capabilities of the analysis of CT images may be significantly expanded with modern methods of machine learning including the application of the principles of radiomics. However, since the use of these methods requires large arrays of DICOM (Digital Imaging and Communications in Medicine)-images, their implementation into clinical practice is limited by the lack of representative sample sets. Inaddition, at present, collections (datasets) of CT images of stroke patients, that are suitable for machine learning, are practically not available in the public domain.Aim of study Regarding the aforesaid, the aim of this work was to create a DICOM images dataset of native CT and CT-angiography of patients with different types of stroke. Material and meth ods The collection was based on the medical cases of patients hospitalized in the Regional Vascular Center of the N.V. Sklifosovsky Research Institute for Emergency Medicine. We used a previously developed specialized platform to enter clinical data on the stroke cases, to attach CT DICOMimages to each case, to contour 3D areas of interest, and to tag (label) them. A dictionary was developed for tagging, where elements describe the type of lesion, location, and vascular territory.Results A dataset of clinical cases and images was formed in the course of the work. It included anonymous information about 220 patients, 130 of them with ischemic stroke, 40 with hemorrhagic stroke, and 50 patients without cerebrovascular disorders. Clinical data included information about type of stroke, presence of concomitant diseases and complications, length of hospital stay, methods of treatment, and outcome. The results of 370 studies of native CT and 102 studies of CT-angiography were entered for all patients. The areas of interest corresponding to direct and indirect signs of stroke were contoured and tagged by radiologists on each series of images.Conclusion The resulting collection of images will enable the use of various methods of data analysis and machine learning in solving the most important practical problems including diagnosis of the stroke type, assessment of lesion volume, and prediction of the degree of neurological deficit.ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ ΠŸΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² Π½Π΅ΠΉΡ€ΠΎΠ²ΠΈΠ·ΡƒΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ являСтся Π½Π΅ΠΎΡ‚ΡŠΠ΅ΠΌΠ»Π΅ΠΌΠΎΠΉ Ρ‡Π°ΡΡ‚ΡŒΡŽ процСсса оказания ΠΏΠΎΠΌΠΎΡ‰ΠΈ Π±ΠΎΠ»ΡŒΠ½Ρ‹ΠΌ с острыми Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΡΠΌΠΈ ΠΌΠΎΠ·Π³ΠΎΠ²ΠΎΠ³ΠΎ кровообращСния (ОНМК), ΠΏΡ€ΠΈ этом Π·ΠΎΠ»ΠΎΡ‚Ρ‹ΠΌ стандартом обслСдования Π΄Π°Π½Π½ΠΎΠΉ ΠΊΠ°Ρ‚Π΅Π³ΠΎΡ€ΠΈΠΈ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… являСтся ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½Π°Ρ томография (КВ). Π—Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ Ρ€Π°ΡΡˆΠΈΡ€ΠΈΡ‚ΡŒ возмоТности Π°Π½Π°Π»ΠΈΠ·Π° КВ-ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ соврСмСнных ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² машинного обучСния, Π² Ρ‚ΠΎΠΌ числС Π½Π° основС примСнСния ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΠΎΠ² Ρ€Π°Π΄ΠΈΠΎΠΌΠΈΠΊΠΈ. Однако, Ρ‚Π°ΠΊ ΠΊΠ°ΠΊ использованиС этих ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² Ρ‚Ρ€Π΅Π±ΡƒΠ΅Ρ‚ наличия Π±ΠΎΠ»ΡŒΡˆΠΈΡ… массивов DICOM (Digital Imaging and Communications in Medicine)-ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ, ΠΈΡ… Π²Π½Π΅Π΄Ρ€Π΅Π½ΠΈΠ΅ Π² ΠΊΠ»ΠΈΠ½ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΡƒ ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡Π΅Π½ΠΎ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠΎΠΉ Π½Π°Π±ΠΎΡ€Π° Ρ€Π΅ΠΏΡ€Π΅Π·Π΅Π½Ρ‚Π°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… Π²Ρ‹Π±ΠΎΡ€ΠΎΠΊ. ΠšΡ€ΠΎΠΌΠ΅ Ρ‚ΠΎΠ³ΠΎ, Π² настоящСС врСмя Π² ΠΎΡ‚ΠΊΡ€Ρ‹Ρ‚ΠΎΠΌ доступС практичСски Π½Π΅ прСдставлСны ΠΊΠΎΠ»Π»Π΅ΠΊΡ†ΠΈΠΈ, содСрТащиС КВ-изобраТСния Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… c ОНМК, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ Π±Ρ‹Π»ΠΈ Π±Ρ‹ ΠΏΡ€ΠΈΠ³ΠΎΠ΄Π½Ρ‹ для машинного обучСния.ЦСль Π’ связи с Π²Ρ‹ΡˆΠ΅ΡΠΊΠ°Π·Π°Π½Π½Ρ‹ΠΌ, Ρ†Π΅Π»ΡŒΡŽ Π΄Π°Π½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Ρ‹ являлось созданиС ΠΊΠΎΠ»Π»Π΅ΠΊΡ†ΠΈΠΈ DICOM-ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ Π½Π°Ρ‚ΠΈΠ²Π½ΠΎΠΉ КВ ΠΈ КВ-Π°Π½Π³ΠΈΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹ΠΌΠΈ Ρ‚ΠΈΠΏΠ°ΠΌΠΈ ОНМК.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ Основой для создания ΠΊΠΎΠ»Π»Π΅ΠΊΡ†ΠΈΠΈ стали истории Π±ΠΎΠ»Π΅Π·Π½ΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², госпитализированных Π² Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΉ сосудистый Ρ†Π΅Π½Ρ‚Ρ€ НИИ БП ΠΈΠΌ. Н.Π’. Бклифосовского. Для формирования ΠΊΠΎΠ»Π»Π΅ΠΊΡ†ΠΈΠΈ использовалась разработанная Π½Π°ΠΌΠΈ Ρ€Π°Π½Π΅Π΅ спСциализированная ΠΏΠ»Π°Ρ‚Ρ„ΠΎΡ€ΠΌΠ°, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰Π°Ρ Π²Π²ΠΎΠ΄ΠΈΡ‚ΡŒ клиничСскиС Π΄Π°Π½Π½Ρ‹Π΅ ΠΎ случаях ОНМК, ΠΏΡ€ΠΈΠΊΡ€Π΅ΠΏΠ»ΡΡ‚ΡŒ ΠΊ ΠΊΠ°ΠΆΠ΄ΠΎΠΌΡƒ ΡΠ»ΡƒΡ‡Π°ΡŽ DICOM-изобраТСния ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ‹Ρ… исслСдований, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΎΠΊΠΎΠ½Ρ‚ΡƒΡ€ΠΈΠ²Π°Ρ‚ΡŒ ΠΈ Ρ‚Π΅Π³ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ (Ρ€Π°Π·ΠΌΠ΅Ρ‡Π°Ρ‚ΡŒ) 3D-области интСрСса. Для тСгирования Π±Ρ‹Π» Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½ ΡΠ»ΠΎΠ²Π°Ρ€ΡŒ, элСмСнты ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ³ΠΎ ΠΎΠΏΠΈΡΡ‹Π²Π°ΡŽΡ‚ Ρ‚ΠΈΠΏ патологичСского образования, Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΡŽ ΠΈ бассСйн кровоснабТСния.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ Π’ Ρ…ΠΎΠ΄Π΅ Ρ€Π°Π±ΠΎΡ‚Ρ‹ Π±Ρ‹Π»Π° сформирована коллСкция клиничСских случаСв ΠΈ ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ, Π²ΠΊΠ»ΡŽΡ‡Π°ΡŽΡ‰Π°Ρ Π°Π½ΠΎΠ½ΠΈΠΌΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΡƒΡŽ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΡŽ ΠΎ 220 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°Ρ…, ΠΈΠ· Π½ΠΈΡ… 130 - с ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΈΠΌ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ΠΎΠΌ, 40 - с гСморрагичСским ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ΠΎΠΌ, Π° Ρ‚Π°ΠΊΠΆΠ΅ 50 Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊ Π±Π΅Π· цСрСброваскулярной ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ. ΠšΠ»ΠΈΠ½ΠΈΡ‡Π΅ΡΠΊΠΈΠ΅ Π΄Π°Π½Π½Ρ‹Π΅ Π²ΠΊΠ»ΡŽΡ‡Π°Π»ΠΈ свСдСния ΠΎ Ρ‚ΠΈΠΏΠ΅ ОНМК, Π½Π°Π»ΠΈΡ‡ΠΈΠΈ ΡΠΎΠΏΡƒΡ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ ΠΈ ослоТнСний, Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ госпитализации, способС лСчСния ΠΈ исходС. ВсСго для ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Π±Ρ‹Π»ΠΈ Π²Π²Π΅Π΄Π΅Π½Ρ‹ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ 370 исслСдований Π½Π°Ρ‚ΠΈΠ²Π½ΠΎΠΉ КВ ΠΈ 102 исслСдования КВ-Π°Π½Π³ΠΈΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ. На ΠΊΠ°ΠΆΠ΄ΠΎΠΉ сСрии ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ Π²Ρ€Π°Ρ‡ΠΎΠΌ-экспСртом Π±Ρ‹Π»ΠΈ ΠΎΠΊΠΎΠ½Ρ‚ΡƒΡ€Π΅Π½Ρ‹ ΠΈ ΠΏΡ€ΠΎΡ‚Π΅Π³ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ области интСрСса, ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΠ΅ прямым ΠΈ косвСнным ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌ ОНМК.Π’Ρ‹Π²ΠΎΠ΄ Бформированная коллСкция ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ Π² ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰Π΅ΠΌ ΠΏΡ€ΠΈΠΌΠ΅Π½ΠΈΡ‚ΡŒ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Π΅ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½Ρ‹Ρ… ΠΈ машинного обучСния Π² Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΈ Π²Π°ΠΆΠ½Π΅ΠΉΡˆΠΈΡ… практичСских Π·Π°Π΄Π°Ρ‡, Π² Ρ‚ΠΎΠΌ числС диагностики Ρ‚ΠΈΠΏΠ° ОНМК, ΠΎΡ†Π΅Π½ΠΊΠΈ объСма пораТСния, ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·Π° стСпСни нСврологичСского Π΄Π΅Ρ„ΠΈΡ†ΠΈΡ‚Π°

    Этиология ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ³Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π°

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    Ischemic stroke is a heterogeneous syndrome with a plurality of potential etiological factors. The routine diagnosis does not always allow the cause of acute cerebrovascular accident to be found, in such cases we talk about cryptogenic ischemic stroke, which incidence is 20-40%. The category of patients with cryptogenic stroke was first characterized and assigned to a separate group in the database of the National Institute of Neurological Diseases and Stroke in the USA, and later in the TOAST study. The diagnosis of cryptogenic stroke is usually based on the exclusion of well-known causes of acute cerebrovascular accidents, such as atherosclerosis, cardiac arrhythmias, arterial hypertension. Due to the considerable variability of concepts for cryptogenic stroke, the term ESUS (Embolic Stroke of Undetermined Source) appeared in 2014 and formulated criteria which accurately characterized these patients: non-lacunar cerebral infarction by CT and/or MRI, no atherosclerotic lesion stenosing a stroke-associated artery of more than 50%, no sources of high-risk cardioembolism, no other causes of stroke such as dissection of the artery supplying the area of infarction in the brain, migraine, arteritis. Among the potential causes and sources of cerebral embolism in patients with cryptogenic stroke are heart, veins of lower extremities and pelvis, nonstenosing atherosclerosis of brachiocephalic artery, atheroma of aortic arch, paradoxical embolism non-atherosclerotic vasculopathy, monogenic diseases, hypercoagulable states, and others. We should note that there is a lot of studies on the possible causes of cryptogenic stroke in the available literature, but no common approach to classification of etiologic factors and examination algorythms were developed. The high incidence of cryptogenic stroke, the significant heterogeneity of its etiopathogenetic mechanisms and the need for differentiated approaches to the secondary prevention of this type of acute cerebrovascular accident determine the relevance of further studies in this field.Π˜ΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΈΠΉ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ являСтся Π³Π΅Ρ‚Π΅Ρ€ΠΎΠ³Π΅Π½Π½Ρ‹ΠΌ синдромом с мноТСством ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹Ρ… этиологичСских Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ². Рутинная диагностика Π½Π΅ всСгда позволяСт ΡƒΡΡ‚Π°Π½ΠΎΠ²ΠΈΡ‚ΡŒ ΠΏΡ€ΠΈΡ‡ΠΈΠ½Ρƒ острого Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΡ ΠΌΠΎΠ·Π³ΠΎΠ²ΠΎΠ³ΠΎ кровообращСния (ОНМК), Π² Ρ‚Π°ΠΊΠΈΡ… случаях принято Π³ΠΎΠ²ΠΎΡ€ΠΈΡ‚ΡŒ ΠΎ ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ³Π΅Π½Π½ΠΎΠΌ ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΎΠΌ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π΅, частота ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ³ΠΎ составляСт 20–40%. ΠšΠ°Ρ‚Π΅Π³ΠΎΡ€ΠΈΡ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ³Π΅Π½Π½Ρ‹ΠΌ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ΠΎΠΌ Π²ΠΏΠ΅Ρ€Π²Ρ‹Π΅ Π±Ρ‹Π»Π° ΠΎΡ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΠΎΠ²Π°Π½Π° ΠΈ Π²Ρ‹Π΄Π΅Π»Π΅Π½Π° Π² ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½ΡƒΡŽ Π³Ρ€ΡƒΠΏΠΏΡƒ Π² Π±Π°Π·Π΅ Π΄Π°Π½Π½Ρ‹Ρ… ΠΠ°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ института нСврологичСских Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ ΠΈ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π° БША, Π° впослСдствии Π² исслСдовании TOAST. Π”ΠΈΠ°Π³Π½ΠΎΠ· ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ³Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π°, ΠΊΠ°ΠΊ ΠΏΡ€Π°Π²ΠΈΠ»ΠΎ, базируСтся Π½Π° ΠΈΡΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠΈ Ρ…ΠΎΡ€ΠΎΡˆΠΎ извСстных ΠΏΡ€ΠΈΡ‡ΠΈΠ½ ОНМК, Ρ‚Π°ΠΊΠΈΡ… ΠΊΠ°ΠΊ атСросклСроз, Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΡ Ρ€ΠΈΡ‚ΠΌΠ° сСрдца, Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Π°Ρ гипСртСнзия. Π’ связи со Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Π²Π°Ρ€ΠΈΠ°Π±Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒΡŽ понятия ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ³Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π° Π² 2014 Π³. Π±Ρ‹Π» Π²Π²Π΅Π΄Π΅Π½ Ρ‚Π΅Ρ€ΠΌΠΈΠ½ ESUS (Embolic Stroke of Undetermined Source β€” эмболичСский ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ с нСустановлСнным источником) ΠΈ сформулированы ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠΈ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ Ρ‡Π΅Ρ‚ΠΊΠΎ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΡƒΡŽΡ‚ Ρ‚Π°ΠΊΠΈΡ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ²: Π½Π΅Π»Π°ΠΊΡƒΠ½Π°Ρ€Π½Ρ‹ΠΉ ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚ ΠΌΠΎΠ·Π³Π° ΠΏΠΎ Π΄Π°Π½Π½Ρ‹ΠΌ ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ ΠΈ/ΠΈΠ»ΠΈ ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎ-рСзонансной Ρ‚ΠΎΠΌΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ, отсутствиС атСросклСротичСского пораТСния, ΡΡ‚Π΅Π½ΠΎΠ·ΠΈΡ€ΡƒΡŽΡ‰Π΅Π³ΠΎ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ΡΠ²ΡΠ·Π°Π½Π½ΡƒΡŽ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΡŽ Π±ΠΎΠ»Π΅Π΅ Ρ‡Π΅ΠΌ Π½Π° 50%, отсутствиС источников кардиоэмболии высокого риска, отсутствиС Π΄Ρ€ΡƒΠ³ΠΈΡ… ΠΏΡ€ΠΈΡ‡ΠΈΠ½ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π°, Ρ‚Π°ΠΊΠΈΡ… ΠΊΠ°ΠΊ диссСкция Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ, ΠΏΠΈΡ‚Π°ΡŽΡ‰Π΅ΠΉ ΠΎΠ±Π»Π°ΡΡ‚ΡŒ ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚Π° ΠΌΠΎΠ·Π³Π°, ΠΌΠΈΠ³Ρ€Π΅Π½ΡŒ, Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈΡ‚. Π‘Ρ€Π΅Π΄ΠΈ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€ΠΈΡ‡ΠΈΠ½ ΠΈ источников Ρ†Π΅Ρ€Π΅Π±Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ эмболии Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ³Π΅Π½Π½Ρ‹ΠΌ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ΠΎΠΌ Π΄ΠΎΠ»ΠΆΠ½Ρ‹ Π±Ρ‹Ρ‚ΡŒ рассмотрСны сСрдцС, Π²Π΅Π½Ρ‹ Π½ΠΈΠΆΠ½ΠΈΡ… конСчностСй ΠΈ Ρ‚Π°Π·Π°, Π½Π΅ΡΡ‚Π΅Π½ΠΎΠ·ΠΈΡ€ΡƒΡŽΡ‰ΠΈΠΉ атСросклСроз Π±Ρ€Π°Ρ…ΠΈΠΎΡ†Π΅Ρ„Π°Π»ΡŒΠ½Ρ‹Ρ… Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΉ, Π°Ρ‚Π΅Ρ€ΠΎΠΌΡ‹ Π΄ΡƒΠ³ΠΈ Π°ΠΎΡ€Ρ‚Ρ‹, ΠΏΠ°Ρ€Π°Π΄ΠΎΠΊΡΠ°Π»ΡŒΠ½Π°Ρ эмболия, нСатСросклСротичСская васкулопатия, ΠΌΠΎΠ½ΠΎΠ³Π΅Π½Π½Ρ‹Π΅ заболСвания, гипСркоагуляционныС состояния ΠΈ Π΄Ρ€. Π‘Π»Π΅Π΄ΡƒΠ΅Ρ‚ ΠΎΡ‚ΠΌΠ΅Ρ‚ΠΈΡ‚ΡŒ, Ρ‡Ρ‚ΠΎ Π² доступной Π½Π°ΠΌ Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Π΅ имССтся большоС количСство исслСдований, посвящСнных описанию Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹Ρ… ΠΏΡ€ΠΈΡ‡ΠΈΠ½ ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ³Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π°, ΠΎΠ΄Π½Π°ΠΊΠΎ Π΅Π΄ΠΈΠ½Ρ‹Π΅ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Ρ‹ ΠΊ систСматизации этиологичСских Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² ΠΈ ΠΏΡ€ΠΎΡ‚ΠΎΠΊΠΎΠ»Π° обслСдования ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² ΠΎΡ‚ΡΡƒΡ‚ΡΡ‚Π²ΡƒΡŽΡ‚. Высокая частота развития ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ³Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π°, Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½Π°Ρ Π³Π΅Ρ‚Π΅Ρ€ΠΎΠ³Π΅Π½Π½ΠΎΡΡ‚ΡŒ Π΅Π³ΠΎ этиопатогСнСтичСских ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠΎΠ², Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ΠΎΠ² ΠΊΠΎ Π²Ρ‚ΠΎΡ€ΠΈΡ‡Π½ΠΎΠΉ ΠΏΡ€ΠΎΡ„ΠΈΠ»Π°ΠΊΡ‚ΠΈΠΊΠ΅ Π΄Π°Π½Π½ΠΎΠ³ΠΎ Ρ‚ΠΈΠΏΠ° ОНМК ΠΎΠ±ΡƒΡΠ»Π°Π²Π»ΠΈΠ²Π°ΡŽΡ‚ Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ Π΄Π°Π»ΡŒΠ½Π΅ΠΉΡˆΠΈΡ… исслСдований ΠΏΡ€ΠΈ Π΄Π°Π½Π½ΠΎΠΉ ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ

    Dynamical correlations and collective excitations of Yukawa liquids

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    In dusty (complex) plasmas, containing mesoscopic charged grains, the grain-grain interaction in many cases can be well described through a Yukawa potential. In this Review we summarize the basics of the computational and theoretical approaches capable of describing many-particle Yukawa systems in the liquid and solid phases and discuss the properties of the dynamical density and current correlation spectra of three- and two-dimensional strongly coupled Yukawa systems, generated by molecular dynamics simulations. We show details of the Ο‰(k)\omega(k) dispersion relations for the collective excitations in these systems, as obtained theoretically following the quasilocalized charge approximation, as well as from the fluctuation spectra created by simulations. The theoretical and simulation results are also compared with those obtained in complex plasma experiments.Comment: 54 pages, 31 figure

    ИНЀАРКВ Π“ΠžΠ›ΠžΠ’ΠΠžΠ“Πž ΠœΠžΠ—Π“Π КАК ΠŸΠ•Π Π’ΠžΠ• ΠŸΠ ΠžΠ―Π’Π›Π•ΠΠ˜Π• Π­Π Π˜Π’Π Π•ΠœΠ˜Π˜

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    The article reports a clinical case of the stroke on the background of newly diagnosed polycythemiaΒ vera. Possible mechanisms of the stroke in the course of erythremia as well ascurrent methods oftreatment for the disease are described.Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ прСдставлСн клиничСский случай развития ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π° Π½Π° Ρ„ΠΎΠ½Π΅ Π²ΠΏΠ΅Ρ€Π²Ρ‹Π΅ выявлСнной истинной ΠΏΠΎΠ»ΠΈΡ†ΠΈΡ‚Π΅ΠΌΠΈΠΈ. РассмотрСны Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹Π΅ ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΡ‹ развития ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π° ΠΏΡ€ΠΈ эритрСмии.Β ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½Ρ‹ соврСмСнныС ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ лСчСния Π΄Π°Π½Π½ΠΎΠΉ ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ

    Stress-strain state of a rock bed with consideration of fluid filtration

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    Influence of the quantum interference on the bosonic and fermionic ion-ion collisions

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    The quantum interference effects on the bosonic-bosonic (He-4)-(He-4), fermionic-fermionic (He-3)-(He-3), and bosonic-fermionic (He-4)-(He-3) ion-ion collisions are investigated by using the isotope of the He nucleus in dense semiclassical Coulomb systems with the Faxen-Holtzmark method. It is found that the scattering cross section for the fermionic-fermionic ion-ion collision is greater than the bosonic-bosonic and bosonic-fermionic ion collision cross sections. It is also found that the collisional induced quantum interference effect enhances the ion-ion collision cross section in semiclassical Coulomb systems. The variation of the quantum-mechanical effect on the bosonic and fermionic ion-ion collisions is also discussed. This paper is dedicated to the late Prof. P. K. Shukla in memory of exciting and stimulating collaborations on physical processes in semiclassical Coulomb systems
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