57 research outputs found

    Derivation of the Gutenberg-Richter Empirical Formula from the Solution of the Generalized Logistic Equation

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    We have written a new equation to study the statistics of earthquake distributions. We call this equation "the generalized logistic equation". The Gutenberg-Richter frequency-magnitude formula was derived from the solution of the generalized logistic equation as an asymptotic case in approximation of large magnitudes. To illustrate how the found solution of the generalized logistic equation works, it was used to approximate the observed cumulative distribution of earthquakes in four different geological provinces: the Central Atlantic (40N-25N, 5W-35W), Canary Islands, Magellan Mountains (20N-9S, 148E-170E), and the Sea of Japan. This approximation showed the excellent fit between the theoretical curves and observed data for earthquake magnitudes 1<m<9.Comment: 10 pages, 2 figures, 1 table, 8 references. Submitted to Natural Science, Earthquakes special issu

    О тСорСтичСских основах аэролимнологии: ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ прСсных Π²ΠΎΠ΄ΠΎΠ΅ΠΌΠΎΠ² ΠΈ ΠΏΡ€ΠΈΠ±Ρ€Π΅ΠΆΠ½Ρ‹Ρ… Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΉ с ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ Π²ΠΎΠ·Π΄ΡƒΡˆΠ½Ρ‹Ρ… робототСхничСских срСдств

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    Π˜Π½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΡ мСтодологичСского базиса Π½Π΅ΡΠΊΠΎΠ»ΡŒΠΊΠΈΡ… Ρ€Π°Π·Π½Ρ‹Ρ… Π½Π°ΡƒΠΊ ΠΏΡ€ΠΈ мСТдисциплинарных исслСдованиях являСтся Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π½ΠΎΠΉ Ρ‡Π΅Ρ€Ρ‚ΠΎΠΉ Π½ΠΎΠ²Ρ‹Ρ… ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠΎΠ² Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ соврСмСнных ΠΏΡ€ΠΈΠΊΠ»Π°Π΄Π½Ρ‹Ρ… Π·Π°Π΄Π°Ρ‡. Π€ΠΎΡ€ΠΌΠΈΡ€ΡƒΠ΅ΠΌΡ‹Π΅ тСорСтичСскиС основы аэролимнологии, ΠΊΠ°ΠΊ Π½ΠΎΠ²ΠΎΠ³ΠΎ Π½Π°ΡƒΡ‡Π½ΠΎΠ³ΠΎ направлСния, Ρ€Π°ΡΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°ΡŽΡ‚ΡΡ с Ρ‚ΠΎΡ‡ΠΊΠΈ зрСния Π²ΠΊΠ»Π°Π΄Π° Π² Π½Π΅Π΅ Ρ‚Ρ€Π΅Ρ… ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹Ρ… Π½Π°ΡƒΠΊ: Π»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠΊΠΈ ΠΈ Ρ€ΠΎΠ±ΠΎΡ‚ΠΎΡ‚Π΅Ρ…Π½ΠΈΠΊΠΈ. ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½Ρ‹ классификации ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² ΠΈ способов лимнологичСских исслСдований, Π²ΠΎΠ·Π΄ΡƒΡˆΠ½Ρ‹Ρ… робототСхничСских срСдств, ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ, пСрспСктивных для Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ Π·Π°Π΄Π°Ρ‡ Π² области аэролимнологии. Π—Π°Π΄Π°Ρ‡Π° Π½Π°ΡƒΡ‡Π½ΠΎΠ³ΠΎ направлСния аэролимнологии формулируСтся ΠΊΠ°ΠΊ ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ возмоТностСй ΠΈ ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡Π΅Π½ΠΈΠΉ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… способов дистанционного сСнсорного измСрСния, Ρ€ΠΎΠ±ΠΎΡ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ±ΠΎΠΎΡ‚Π±ΠΎΡ€Π° ΠΈ аналитичСского исслСдования ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² экосистСм прСсных Π²ΠΎΠ΄ΠΎΠ΅ΠΌΠΎΠ² для ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° ΠΈ прСдсказания Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΈΡ… развития. Π‘Ρ€Π΅Π΄ΠΈ основных Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΉ аэролимнологичСских исслСдований Π²Ρ‹Π΄Π΅Π»Π΅Π½Ρ‹: построСниС ΠΎΡ€Ρ‚ΠΎΡ„ΠΎΡ‚ΠΎΠΏΠ»Π°Π½ΠΎΠ² ΠΈ фотограммСтричСских пространствСнных ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Ρ€Π΅Π»ΡŒΠ΅Ρ„Π° Π΄Π½Π° ΠΈ ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Ρ… элСмСнтов Π΄ΠΎΠ½Π½ΠΎΠ³ΠΎ Π»Π°Π½Π΄ΡˆΠ°Ρ„Ρ‚Π° ΠΈ ΠΏΡ€ΠΈΠ±Ρ€Π΅ΠΆΠ½ΠΎΠΉ Π·ΠΎΠ½Ρ‹ Ρ€Π°Π·Π½ΠΎΠ³ΠΎ ΠΌΠ°ΡΡˆΡ‚Π°Π±Π°; Π³Π΅ΠΎΠ»ΠΎΠ³ΠΎ-гСофизичСскоС ΠΊΠ°Ρ€Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΠ΄Π²ΠΎΠ΄Π½ΠΎΠΉ части Π±Π΅Ρ€Π΅Π³ΠΎΠ²ΠΎΠΉ Π·ΠΎΠ½Ρ‹; ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ Ρ„ΠΈΡ‚ΠΎΠΏΠ»Π°Π½ΠΊΡ‚ΠΎΠ½Π°, Π² частности «цвСтСния» Π²ΠΎΠ΄Ρ‹, Π²Ρ‹Π·Π²Π°Π½Π½ΠΎΠ³ΠΎ цианобактСриями; исслСдованиС распрСдСлСния ΠΈ ΠΌΠΈΠ³Ρ€Π°Ρ†ΠΈΠΉ ΠΊΡ€ΡƒΠΏΠ½Ρ‹Ρ… прСдставитСлСй Π³ΠΈΠ΄Ρ€ΠΎΡ„Π°ΡƒΠ½Ρ‹; ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π½Ρ‹Ρ… ΠΏΠΎΠ»Π΅ΠΉ ΠΈ процСссов пСрСраспрСдСлСния Π²ΠΎΠ΄Π½Ρ‹Ρ… масс. ΠžΠ±ΡΡƒΠΆΠ΄Π°ΡŽΡ‚ΡΡ ограничСния, Π½Π°ΠΊΠ»Π°Π΄Ρ‹Π²Π°Π΅ΠΌΡ‹Π΅ Π½Π° использованиС бСспилотных Π»Π΅Ρ‚Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² (БпЛА) ΠΏΡ€ΠΈ ΠΏΡ€ΠΎΠ±ΠΎΠΎΡ‚Π±ΠΎΡ€Π΅ ΠΈ ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π΅ ΠΏΡ€ΠΈΠ±Ρ€Π΅ΠΆΠ½Ρ‹Ρ… Π²ΠΎΠ΄Π½Ρ‹Ρ… Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΉ, ΠΏΡ€Π΅ΠΆΠ΄Π΅ всСго ΠΏΠΎΠ³ΠΎΠ΄Π½ΠΎ-климатичСскиС, Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Π΅, пространствСнныС, тСхничСскиС. ΠŸΡ€Π΅ΠΈΠΌΡƒΡ‰Π΅ΡΡ‚Π²ΠΎ использования бСспилотных Π»Π΅Ρ‚Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² Π² аэролимнологии обосновываСтся ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ΠΌ скорости получСния Π΄Π°Π½Π½Ρ‹Ρ…, Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒΡŽ ΠΏΠΎΠ΄Π»Π΅Ρ‚Π° ΠΊ труднодоступным ΠΈ Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠ°Π»ΡŒΠ½ΠΎ ΡƒΠ΄Π°Π»Π΅Π½Π½Ρ‹ΠΌ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π°ΠΌ, сниТСниСм влияния чСловСчСского Ρ„Π°ΠΊΡ‚ΠΎΡ€Π°. Научная Π½ΠΎΠ²ΠΈΠ·Π½Π° прСдставлСнного исслСдования состоит Π² ΠΏΠΎΠΏΡ‹Ρ‚ΠΊΠ΅ ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΠΈ мСТдисциплинарных Π·Π½Π°Π½ΠΈΠΉ ΠΏΡ€ΠΈ использовании бСспилотных Π»Π΅Ρ‚Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² ΠΈ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠ΅ ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ… Π½Π° основС Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ искусствСнного ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚Π° ΠΏΡ€ΠΈ ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠΈ лимнологичСских ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² ΠΈ процСссов. ΠžΡ‚ΠΌΠ΅Ρ‡Π°Π΅Ρ‚ΡΡ ваТная Ρ€ΠΎΠ»ΡŒ Π³Π΅ΠΎΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… систСм ΠΈ приводятся ΠΏΡ€ΠΈΠΌΠ΅Ρ€Ρ‹ ΠΊΠ°Ρ€Ρ‚ Ρ‚ΠΈΠΏΠΈΠ·Π°Ρ†ΠΈΠΈ Π±Π΅Ρ€Π΅Π³ΠΎΠ² ΠΈ Π³Π΅ΠΎΠΌΠΎΡ€Ρ„ΠΎΠ»ΠΎΠ³ΠΈΠΈ ЛадоТского ΠΎΠ·Π΅Ρ€Π°, Ρ€Π°Π·ΠΌΠ΅Ρ‰Π΅Π½Π½Ρ‹Π΅ Π½Π° сайтС Π¦Π΅Π½Ρ‚Ρ€Π° ΠΊΠΎΠ»Π»Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ пользования Π½Π°ΡƒΡ‡Π½Ρ‹ΠΌ ΠΎΠ±ΠΎΡ€ΡƒΠ΄ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Β«Π‘Π΅Π²Π΅Ρ€ΠΎ-Π—Π°ΠΏΠ°Π΄Π½Ρ‹ΠΉ Ρ†Π΅Π½Ρ‚Ρ€ ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° ΠΈ прогнозирования развития Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΉΒ» Π‘ΠŸΠ‘ ЀИЦ РАН. Π Π°ΡΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°ΡŽΡ‚ΡΡ основныС этапы ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ провСдСния аэролимнологичСских исслСдований с ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ мСТдисциплинарных ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ΠΎΠ² Π½Π° основС Π»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠΊΠΈ ΠΈ робототСхничСских срСдств, Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½ΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ… Π² Ρ€Π°Π·Π½Ρ‹Ρ… срСдах

    ?ccr5 Genotype Is Associated with Mild Form of Nephropathia Epidemica

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    Nephropathia Epidemica (NE), a mild form of hemorrhagic fever with renal syndrome (HFRS) and linked to hantavirus infection, is endemic in the Republic of Tatarstan. Several genetic markers of HFRS severity have been identified previously, including human leukocyte antigen (HLA) complexes and nucleotide polymorphism in the tumor necrosis factor alpha (TNFΞ±) gene. Still, our understanding of the genetic markers of NE severity remains incomplete. The frequency of the C–C chemokine receptor type 5 (CCR5) gene wild type and gene with 32-base-pair deletion (Ξ”32CCR5) genotypes in 98 NE samples and 592 controls was analyzed using PCR. Along with the serum levels of 94 analytes, a lack of differences in the CCR5 genotype distribution between NE cases and the general population suggests that the CCR5 genotype does not affect susceptibility to hantavirus infection. However, in NE cases, significant variation in the serum levels of the host matrix metalloproteases between functional CCR5 homozygous and Ξ”32CCR5 heterozygous patients was detected. Also, the oliguric phase was longer, while thrombocyte counts were lower in functional CCR5 homozygous as compared to heterozygous NE cases. Our data, for the first time, presents the potential role of the CCR5 receptor genotype in NE pathogenesis. Our data suggests that NE pathogenesis in functional CCR5 homozygous and heterozygous NE patients differs, where homozygous cases may have more disintegration of the extracellular matrix and potentially more severe disease

    High Triglycerides Are Associated with Low Thrombocyte Counts and High VEGF in Nephropathia Epidemica

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    Nephropathia epidemica (NE) is a mild form of hemorrhagic fever with renal syndrome. Several reports have demonstrated a severe alteration in lipoprotein metabolism. However, little is known about changes in circulating lipids in NE. The objectives of this study were to evaluate changes in serum total cholesterol, high density cholesterol (HDCL), and triglycerides. In addition to evaluation of serum cytokine activation associations, changes in lipid profile and cytokine activation were determined for gender, thrombocyte counts, and VEGF. Elevated levels of triglycerides and decreased HDCL were observed in NE, while total cholesterol did not differ from controls. High triglycerides were associated with both the lowest thrombocyte counts and high serum VEGF, as well as a high severity score. Additionally, there were higher levels of triglycerides in male than female NE patients. Low triglycerides were associated with upregulation of IFN-Ξ³ and IL-12, suggesting activation of Th1 helper cells. Furthermore, levels of IFN-Ξ³ and IL-12 were increased in patients with lower severity scores, suggesting that a Th1 type immune response is playing protective role in NE. These combined data advance the understanding of NE pathogenesis and indicate a role for high triglycerides in disease severity

    The mRubyFT Protein, Genetically Encoded Blue-to-Red Fluorescent Timer.

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    peer reviewedGenetically encoded monomeric blue-to-red fluorescent timers (mFTs) change their fluorescent color over time. mCherry-derived mFTs were used for the tracking of the protein age, visualization of the protein trafficking, and labeling of engram cells. However, the brightness of the blue and red forms of mFTs are 2-3- and 5-7-fold dimmer compared to the brightness of the enhanced green fluorescent protein (EGFP). To address this limitation, we developed a blue-to-red fluorescent timer, named mRubyFT, derived from the bright mRuby2 red fluorescent protein. The blue form of mRubyFT reached its maximum at 5.7 h and completely transformed into the red form that had a maturation half-time of 15 h. Blue and red forms of purified mRubyFT were 4.1-fold brighter and 1.3-fold dimmer than the respective forms of the mCherry-derived Fast-FT timer in vitro. When expressed in mammalian cells, both forms of mRubyFT were 1.3-fold brighter than the respective forms of Fast-FT. The violet light-induced blue-to-red photoconversion was 4.2-fold less efficient in the case of mRubyFT timer compared to the same photoconversion of the Fast-FT timer. The timer behavior of mRubyFT was confirmed in mammalian cells. The monomeric properties of mRubyFT allowed the labeling and confocal imaging of cytoskeleton proteins in live mammalian cells. The X-ray structure of the red form of mRubyFT at 1.5 Γ… resolution was obtained and analyzed. The role of the residues from the chromophore surrounding was studied using site-directed mutagenesis

    AN INTERACTIVE METHOD OF ANATOMICAL SEGMENTATION AND GENE EXPRESSION ESTIMATION FOR AN EXPERIMENTAL MOUSE BRAIN SLICE

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    Abstract. We consider the problem of statistical analysis of gene expression in a mouse brain during cognitive processes. In particular we focus on the problems of anatomical segmentation of a histological brain slice and estimation of slice&apos;s gene expression level. The first problem is solved by interactive registration of an experimental brain slice into 3D brain model constructed using Allen Brain Atlas. The second problem is solved by special image filtering and further smart resolution reduction. We also describe the procedure of non-linear correction of atlas slices which improves the quality of the 3D-model significantly. 1 Introduction The analysis of gene expression in a brain is extremely important for cognitive research. Many cognitive functions (e.g. memory consolidation) are regulated by specific genes whose expression starts during some intellectual activity, e.g. training. On the other hand it is known that changes in activity in specific anatomical brain zones reflect the cognitive processes. The combination of anatomical brain map with gene expression patterns and its further statistical processing would allow researchers to discover new genes that are responsible for cognitive processes and new anatomical structures where the functional activity takes place. Up to the current moment gene expression in animal brains is measured using the following technique. A brain is extracted, frozen and then cut into slices. Each slice is double-stained by Nissl method to highlight histology (se
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