300 research outputs found
The effect of multiple paternity on genetic diversity during and after colonisation
In metapopulations, genetic variation of local populations is influenced by
the genetic content of the founders, and of migrants following establishment.
We analyse the effect of multiple paternity on genetic diversity using a model
in which the highly promiscuous marine snail Littorina saxatilis expands from a
mainland to colonise initially empty islands of an archipelago. Migrant females
carry a large number of eggs fertilised by 1 - 10 mates. We quantify the
genetic diversity of the population in terms of its heterozygosity: initially
during the transient colonisation process, and at long times when the
population has reached an equilibrium state with migration. During
colonisation, multiple paternity increases the heterozygosity by 10 - 300 % in
comparison with the case of single paternity. The equilibrium state, by
contrast, is less strongly affected: multiple paternity gives rise to 10 - 50 %
higher heterozygosity compared with single paternity. Further we find that far
from the mainland, new mutations spreading from the mainland cause bursts of
high genetic diversity separated by long periods of low diversity. This effect
is boosted by multiple paternity. We conclude that multiple paternity
facilitates colonisation and maintenance of small populations, whether or not
this is the main cause for the evolution of extreme promiscuity in Littorina
saxatilis.Comment: 7 pages, 5 figures, electronic supplementary materia
Π€ΠΈΠ½Π°Π½ΡΡ Π²Β Π ΠΎΡΡΠΈΠΈ ΠΈΒ ΠΌΠΈΡΠ΅: ΠΊΠΎΠ½ΡΠ΅ΠΏΡΡΠ°Π»ΡΠ½ΡΠ΅ Π°ΡΠΏΠ΅ΠΊΡΡ
The modern digital economy requires βnew financeβ. The subject of the study is to clarify their content, and the goal is to develop the authorβs view of the term of βfinanceβ. The relevance of the topic is dictated by the need to analyze complex theoretical questions of technological transformation of financial markets and activities of financial intermediaries. The scientific novelty consists of the theoretical contribution of the theory of finance evolution in the digital era. The main research methods are systemic and logical approaches, the method of theoretical cognition, the historical method and the method of scientific abstraction. The results of the study are clarification the essence of finance and applied issues of their use in Russia and abroad. It will contribute to the development of a scientific doctrine of digital assets circulation; will allow to refine the model of the activities of financial intermediariesβ regulation in our country and lay the foundation for the formation of global norms and rules for the development of national and international financial markets of the CIS, the EAEU, the SCO, and BRICS countries. The conclusions of the study are: a) confirmation of the authorβs position on the essence of finance. The paper indicates that, in the context of the economyβs digital revolution, the substance of economic categories stays constant, although their forms vary according to innovation, behavioral characteristics, and other factors; b) without rejecting the rational knowledge formed in the Western scientific school, the authors emphasize that the social sciences cannot be global, they have a national character; c) based on the investigation, the author defines βfinanceβ as a distribution category in the development and utilization of financial resources.Π‘ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½Π°Ρ ΡΠΈΡΡΠΎΠ²Π°Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ° ΡΡΠ΅Π±ΡΠ΅Ρ Β«Π½ΠΎΠ²ΡΡ
ΡΠΈΠ½Π°Π½ΡΠΎΠ²Β». ΠΡΠ΅Π΄ΠΌΠ΅ΡΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ Π²ΡΡΡΠ½Π΅Π½ΠΈΠ΅ ΠΈΡ
ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ, Π° ΡΠ΅Π»ΡΡ β ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° Π°Π²ΡΠΎΡΡΠΊΠΎΠΉ ΠΏΠΎΠ·ΠΈΡΠΈΠΈ ΡΠΎΠ»ΠΊΠΎΠ²Π°Π½ΠΈΡ Π΄Π΅ΡΠΈΠ½ΠΈΡΠΈΠΈ Β«ΡΠΈΠ½Π°Π½ΡΡΒ». ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΡΠ΅ΠΌΡ ΠΏΡΠΎΠ΄ΠΈΠΊΡΠΎΠ²Π°Π½Π° Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΡ ΡΠ»ΠΎΠΆΠ½ΡΠ΅ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π²ΠΎΠΏΡΠΎΡΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΡΡΠ½ΠΊΠΎΠ² ΠΈ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΠΏΠΎΡΡΠ΅Π΄Π½ΠΈΠΊΠΎΠ². ΠΠ°ΡΡΠ½Π°Ρ Π½ΠΎΠ²ΠΈΠ·Π½Π° ΡΠΎΡΡΠΎΠΈΡ Π² ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΡΠ²ΠΎΠ»ΡΡΠΈΠΈ ΡΠ΅ΠΎΡΠΈΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ² Π² ΡΠΈΡΡΠΎΠ²ΡΡ ΡΠΏΠΎΡ
Ρ. ΠΡΠ½ΠΎΠ²Π½ΡΠΌΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΡΡΡΡ ΡΠΈΡΡΠ΅ΠΌΠ½ΡΠΉ, Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ, ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠ·Π½Π°Π½ΠΈΡ, ΠΈΡΡΠΎΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΈΒ Π½Π°ΡΡΠ½ΠΎΠΉ Π°Π±ΡΡΡΠ°ΠΊΡΠΈΠΈ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π²ΠΊΠ»ΡΡΠ°ΡΡ Π²ΡΡΡΠ½Π΅Π½ΠΈΠ΅ ΡΡΡΠ½ΠΎΡΡΠΈ ΠΈ ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΡΡ
Π²ΠΎΠΏΡΠΎΡΠΎΠ² ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ² Π² Π ΠΎΡΡΠΈΠΈ ΠΈ Π·Π° ΡΡΠ±Π΅ΠΆΠΎΠΌ, ΡΡΠΎ, ΠΏΠΎ ΠΌΠ½Π΅Π½ΠΈΡ Π°Π²ΡΠΎΡΠΎΠ², Π±ΡΠ΄Π΅Ρ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΠΎΠ²Π°ΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π½Π°ΡΡΠ½ΠΎΠΉ Π΄ΠΎΠΊΡΡΠΈΠ½Ρ ΠΎΠ±ΡΠ°ΡΠ΅Π½ΠΈΡ ΡΠΈΡΡΠΎΠ²ΡΡ
Π°ΠΊΡΠΈΠ²ΠΎΠ²; ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ ΡΠΊΠΎΡΡΠ΅ΠΊΡΠΈΡΠΎΠ²Π°ΡΡ ΠΌΠΎΠ΄Π΅Π»Ρ ΡΠ΅Π³ΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΠΏΠΎΡΡΠ΅Π΄Π½ΠΈΠΊΠΎΠ² Π² Π½Π°ΡΠ΅ΠΉ ΡΡΡΠ°Π½Π΅ ΠΈ Π·Π°Π»ΠΎΠΆΠΈΡΡ ΠΎΡΠ½ΠΎΠ²Ρ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π½Π°Π΄Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
Π½ΠΎΡΠΌ ΠΈΒ ΠΏΡΠ°Π²ΠΈΠ» ΡΠ°Π·Π²ΠΈΡΠΈΡ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΈΒ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΡ
ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΡΡΠ½ΠΊΠΎΠ² ΡΡΡΠ°Π½ Π‘ΠΠ, ΠΠΠΠ‘, Π¨ΠΠ‘, ΠΠ ΠΠΠ‘. ΠΡΠ²ΠΎΠ΄Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π²ΠΊΠ»ΡΡΠ°ΡΡ: Π°) ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ Π°Π²ΡΠΎΡΡΠΊΠΎΠΉ ΠΏΠΎΠ·ΠΈΡΠΈΠΈ ΠΎ ΡΡΡΠ½ΠΎΡΡΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ². Π ΡΡΠ°ΡΡΠ΅ ΠΏΠΎΠ΄ΡΠ΅ΡΠΊΠΈΠ²Π°Π΅ΡΡΡ, ΡΡΠΎ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΡΡΡΠ½ΠΎΡΡΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΉ ΠΎΡΡΠ°Π΅ΡΡΡ Π½Π΅ΠΈΠ·ΠΌΠ΅Π½Π½ΠΎΠΉ, Π² ΡΠΎ Π²ΡΠ΅ΠΌΡ ΠΊΠ°ΠΊ ΠΈΡ
ΡΠΎΡΠΌΡ Π²ΠΈΠ΄ΠΎΠΈΠ·ΠΌΠ΅Π½ΡΡΡΡΡ ΠΏΠΎΠ΄ Π²Π»ΠΈΡΠ½ΠΈΠ΅ΠΌ ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΉ, ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΡΠ΅ΡΠΊΠΈΡ
Π°ΡΠΏΠ΅ΠΊΡΠΎΠ² ΠΈ Π΄ΡΡΠ³ΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ²; Π±) Π½Π΅ ΠΎΡΠ²Π΅ΡΠ³Π°Ρ ΡΠ°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ΅ Π·Π½Π°Π½ΠΈΠ΅, ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π²ΡΠ΅Π΅ΡΡ Π² Π·Π°ΠΏΠ°Π΄Π½ΠΎΠΉ Π½Π°ΡΡΠ½ΠΎΠΉ ΡΠΊΠΎΠ»Π΅, Π°Π²ΡΠΎΡΡ ΠΏΠΎΠ΄ΡΠ΅ΡΠΊΠΈΠ²Π°ΡΡ, ΡΡΠΎ ΠΎΠ±ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ Π½Π°ΡΠΊΠΈ Π½Π΅ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΡΠΌΠΈ, ΠΎΠ½ΠΈ ΠΈΠΌΠ΅ΡΡ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅Ρ; Π²) Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½ΠΎ Π°Π²ΡΠΎΡΡΠΊΠΎΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π΄Π΅ΡΠΈΠ½ΠΈΡΠΈΠΈ Β«ΡΠΈΠ½Π°Π½ΡΡΒ» ΠΊΠ°ΠΊ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΈ Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΡΠ΅ΡΡΡΡΠΎΠ²
Magnetic phase transition in the itinerant helimagnet MnSi: Thermodynamic and transport properties
A careful study of thermodynamic and transport properties of a high-quality single crystal of MnSi at ambient pressure suggests that its transition to a helical magnetic state near 29 K is weakly first order. The heat capacity, temperature derivative of resistivity, thermal expansion, and magnetic susceptibility exhibit a specific structure around the phase transition point, interpreted as a combination of first- and second-order features. Striking mirror symmetry between the temperature derivative of resistivity and the thermal expansion coefficient is observed. Conclusions drawn from these experiments question prevailing views on the phase diagram of MnSi
Changes of Granite Rapakivi under the Biofouling Influence
Interdisciplinary study of granite rapakivi biofouling in the natural and anthropogenic environment (St. Petersburg, Vyborg, Southern Finland) was carried out. The biodiversity of microorganisms (cyanobacteria, micromycetes, and organotrophic bacteria) and various types of biofilms are characterized. The influence of external factors on the changes of cyanobacterial biofilms is shown. The features of biofilms localization on the granite surface in an urban environment and in natural outcrops are studied. Differences in the biofilms metabolites composition at the granite quarries and monuments of St. Petersburg are shown. The behavior of chemical elements during the bioweathering of granite is estimated. The role of biofilms in the accumulation of chemical elements on the surface of granite is established. The dynamics of chemical elements leaching from granite may depend on the type of biofilm developing on granite
ΠΡΠ·ΠΎΠ²Ρ ΡΠΎΠ½Π΄ΠΎΠ²ΡΡ ΡΡΠ½ΠΊΠΎΠ² ΠΠ²ΡΠ°Π·ΠΈΠΉΡΠΊΠΎΠ³ΠΎ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΠ·Π°: Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΠΎΠ΄Ρ ΠΎΠ΄
Strengthening cooperation of the Eurasian Economic Union member-countries is the best solution to mitigate trade wars, unfair competition and worsening of international economic relations. The article reveals the significant correlation of the stock indices based on the analysis of the Eurasian Economic Union (EAEU) stock markets. The objective of the article is to introduce recommendations aimed at optimising cooperation of EAEU member-states and expanding their interaction in the financial sphere. Bloomberg data for 2000-2017 together with Excel tools have been used which allowed to prove the hypothesis of interdependence between the most developed stock markets: Moscow and Kazakhstan. The graphical analysis of the research has showed that a correlation between the indicators of these stock trading floors appeared in 2008, when the effects of the global financial and economic crisis were being overcome. There was no interdependence between the indices of the Moscow and Kazakhstan marketplaces until 2007. The research has showed that the EAEU stock market indices depend significantly on the production of raw materials and commodity prices. In the conditions of the financial relations development, the EAEU has proposed to use the world experience of strengthening the economic cooperation of European countries and their methods to overcome the crisis phenomena of the 1950s. The EAEU has to harmonize financial policies and financial relations, simplify entrepreneur access to lending, improve tax breaks for exporters of manufactured goods and grant subsidies to new sectors of the economy. The European experience can help the EAEU to overcome difficulties and solve cooperation problems.Π£ΠΊΡΠ΅ΠΏΠ»Π΅Π½ΠΈΠ΅ ΡΠΎΡΡΡΠ΄Π½ΠΈΡΠ΅ΡΡΠ²Π° ΡΡΡΠ°Π½ ΠΠ²ΡΠ°Π·ΠΈΠΉΡΠΊΠΎΠ³ΠΎ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΠ·Π°Β β Π»ΡΡΡΠ΅Π΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π΄Π»Ρ ΡΠΌΡΠ³ΡΠ΅Π½ΠΈΡ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠΉ ΡΠΎΡΠ³ΠΎΠ²ΡΡ
Π²ΠΎΠΉΠ½, Π½Π΅Π΄ΠΎΠ±ΡΠΎΡΠΎΠ²Π΅ΡΡΠ½ΠΎΠΉ ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠΈΠΈ ΠΈΒ ΡΡ
ΡΠ΄ΡΠ΅Π½ΠΈΡ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΡ
ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΉ. ΠΒ ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠ² ΡΠΎΠ½Π΄ΠΎΠ²ΡΡ
ΡΡΠ½ΠΊΠΎΠ² ΠΠ²ΡΠ°Π·ΠΈΠΉΡΠΊΠΎΠ³ΠΎ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΠ·Π° (ΠΠΠΠ‘), Π½Π° Π±Π°Π·Π΅ ΠΊΠΎΡΠΎΡΡΡ
Π²ΡΡΠ²Π»Π΅Π½Π° ΠΈΡ
Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½Π°Ρ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΡ. Π¦Π΅Π»Ρ ΡΡΠ°ΡΡΠΈΒ β ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΠΉ, Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΡΡ
Π½Π° ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΡ ΡΠΎΡΡΡΠ΄Π½ΠΈΡΠ΅ΡΡΠ²Π° ΡΡΡΠ°Π½Β β ΡΠ»Π΅Π½ΠΎΠ² ΠΠΠΠ‘ ΠΈΒ ΡΠ°ΡΡΠΈΡΠ΅Π½ΠΈΠ΅ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΡΡΠΎΡΠΎΠ½ Π²Β ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠΉ ΡΡΠ΅ΡΠ΅. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ Π΄Π°Π½Π½ΡΠ΅ Bloomberg Π·Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ 2000β2017 Π³Π³. ΠΈΒ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡ Excel, ΡΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ Π½Π° Π±Π°Π·Π΅ ΠΏΡΠ±Π»ΠΈΠΊΡΠ΅ΠΌΡΡ
ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠ² ΡΠΎΡΠ³ΠΎΠ²ΡΡ
ΠΏΠ»ΠΎΡΠ°Π΄ΠΎΠΊ ΠΠΠΠ‘ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠ΄ΠΈΡΡ Π³ΠΈΠΏΠΎΡΠ΅Π·Ρ ΠΎΒ Π²Π·Π°ΠΈΠΌΠΎΠ·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°Π·Π²ΠΈΡΡΡ
ΡΠΎΠ½Π΄ΠΎΠ²ΡΡ
ΡΡΠ½ΠΊΠΎΠ²: ΠΌΠΎΡΠΊΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΠΈΒ ΠΊΠ°Π·Π°Ρ
ΡΡΠ°Π½ΡΠΊΠΎΠ³ΠΎ. ΠΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΠΊΠ°Π·Π°Π», ΡΡΠΎ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΡ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΠΊΠ°Π·Π°Π½Π½ΡΡ
ΡΠΎΡΠ³ΠΎΠ²ΡΡ
ΠΏΠ»ΠΎΡΠ°Π΄ΠΎΠΊ Π²ΠΎΠ·Π½ΠΈΠΊΠ»Π° Π² 2008 Π³. βΒ Π² ΠΏΠ΅ΡΠΈΠΎΠ΄ ΠΏΡΠ΅ΠΎΠ΄ΠΎΠ»Π΅Π½ΠΈΡ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠΉ Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΡΠΈΠ·ΠΈΡΠ°. ΠΠΎ 2007 Π³. Π²Π·Π°ΠΈΠΌΠΎΠ·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠ² ΠΌΠΎΡΠΊΠΎΠ²ΡΠΊΠΎΠΉ ΠΈ ΠΊΠ°Π·Π°Ρ
ΡΡΠ°Π½ΡΠΊΠΎΠΉ ΡΠΎΡΠ³ΠΎΠ²ΡΡ
ΠΏΠ»ΠΎΡΠ°Π΄ΠΎΠΊ Π½Π΅ Π½Π°Π±Π»ΡΠ΄Π°Π»ΠΎΡΡ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΎ, ΡΡΠΎ ΠΈΠ½Π΄Π΅ΠΊΡΡ ΡΠΎΠ½Π΄ΠΎΠ²ΡΡ
ΡΡΠ½ΠΊΠΎΠ² ΠΠΠΠ‘ Π² Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π·Π°Π²ΠΈΡΡΡ ΠΎΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΡΡΡΡΡ ΠΈ ΡΠ΅Π½ Π½Π° ΡΡΡΡΠ΅Π²ΡΠ΅ ΡΠΎΠ²Π°ΡΡ. Π ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΉ ΠΠΠΠ‘ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΠΌΠΈΡΠΎΠ²ΠΎΠΉ ΠΎΠΏΡΡ ΡΠΊΡΠ΅ΠΏΠ»Π΅Π½ΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΡΠ΄Π½ΠΈΡΠ΅ΡΡΠ²Π° Π΅Π²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΈΡ
ΡΡΡΠ°Π½ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΏΡΠ΅ΠΎΠ΄ΠΎΠ»Π΅Π½ΠΈΡ ΠΈΠΌΠΈ ΠΊΡΠΈΠ·ΠΈΡΠ½ΡΡ
ΡΠ²Π»Π΅Π½ΠΈΠΉ 50-Ρ
Π³Π³. Π₯Π₯ Π². ΠΠΠΠ‘ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠ° Π³Π°ΡΠΌΠΎΠ½ΠΈΠ·Π°ΡΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ ΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΉ, ΡΠΏΡΠΎΡΠ΅Π½ΠΈΠ΅ Π΄ΠΎΡΡΡΠΏΠ° ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΠ΅Π»Π΅ΠΉ ΠΊ ΠΊΡΠ΅Π΄ΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΠ΅ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΡΡ
Π»ΡΠ³ΠΎΡ ΡΠΊΡΠΏΠΎΡΡΠ΅ΡΠ°ΠΌ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΡΡ
ΡΠΎΠ²Π°ΡΠΎΠ² ΠΈ ΠΏΠΎΡΡΠ΄ΠΊΠ° ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΡΠ±ΡΠΈΠ΄ΠΈΠΉ Π½ΠΎΠ²ΡΠΌ ΠΎΡΡΠ°ΡΠ»ΡΠΌ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π΅Π²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΎΠ³ΠΎ ΠΎΠΏΡΡΠ° Π² ΠΠΠΠ‘ ΠΌΠΎΠΆΠ΅Ρ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΠΎΠ²Π°ΡΡ ΠΏΡΠ΅ΠΎΠ΄ΠΎΠ»Π΅Π½ΠΈΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌ ΠΈ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π΄Π°Ρ ΡΠΎΡΡΡΠ΄Π½ΠΈΡΠ΅ΡΡΠ²Π°
Transcriptomic resources for evolutionary studies in flat periwinkles and related species
The flat periwinkles, Littorina fabalis and L. obtusata, comprise two sister gastropod species that have an enormous potential to elucidate the mechanisms involved in ecological speciation in the marine realm. However, the molecular resources currently available for these species are still scarce. In order to circumvent this limitation, we used RNA-seq data to characterize the transcriptome of four individuals from each species sampled in different locations across the Iberian Peninsula. Four de novo transcriptome assemblies were generated, as well as a pseudo-reference using the L. saxatilis reference transcriptome as backbone. After transcriptsβ annotation, variant calling resulted in the identification of 19,072 to 45,340 putatively species-diagnostic SNPs. The discriminatory power of a subset of these SNPs was validated by implementing an independent genotyping assay to characterize reference populations, resulting in an accurate classification of individuals into each species and in the identification of hybrids between the two. These data comprise valuable genomic resources for a wide range of evolutionary and conservation studies in flat periwinkles and related taxa
Features of Morphometric Changes in Platelets and Red Blood Cells in Women with Various Forms of Hypertensive Disorders in the Third Trimester of Pregnancy
Background. Arterial hypertension during pregnancy is accompanied by pronounced changes in microcirculation andΒ hemostasis in the system, the state of which is largely determined by the structural and functional properties of redΒ blood cells and platelets. The study of quantitative and morphometric characteristics of blood cells will expand theΒ existing understanding of their role in the pathogenesis of hypertensive disorders.Aim of the research. To study the quantitative and morphometric indicators of red blood cells and platelets in pregnantΒ women with various forms of hypertensive disorders, on the basis of which to develop an additional method for theΒ diagnosis of preeclampsia. Materials and methods. 237 women in the third trimester of pregnancy were examined. The main group (167 women)Β included patients with various forms of hypertensive disorders. The comparison group included 70 pregnant womenΒ without signs of hypertensive disorders. The characteristic of clinical and anamnestic data of the studied groups is given.Β A comparative analysis of the number and morphometric parameters of red blood cells and platelets was performed.Results. With moderate and severe preeclampsia, a decrease in the level of red blood cells, hemoglobin and hematocritΒ was not accompanied by changes in red blood cell indices. In women with preeclampsia, regardless of the presenceΒ of chronic arterial hypertension, an increase in the average dry weight, average volume and degree of platelet anisocytosis was detected. In severe preeclampsia and preeclampsia with underlying ofΒ chronic arterial hypertension,Β an increase in the number of large forms of platelets and their granulocytosis was revealed, and in addition, in severeΒ cases of preeclampsia, a decrease in platelet level was noted.Conclusions. Modern hematological analyzers make it possible to establish the nature of not only quantitative,Β but also morphometric changes in red blood cells and platelets, thereby complementing the existing understandingΒ of the pathogenetic mechanisms underlying hypertensive disorders in pregnancy. Using average dry platelet mass andΒ average blood pressure may be useful in diagnosing preeclampsia
Π‘ΠΠΠ‘ΠΠ ΠΠ«ΠΠΠΠΠΠΠ― ΠΠΠ§ΠΠΠΠ Toxocara canis ΠΠ ΠΠΠ ΠΠΠ₯ΠΠΠ« ΠΠΠ§ΠΠΠ Π ΠΠΠΠΠΠ₯ ΠΠΠΠ’ΠΠ―ΠΠΠ«Π₯ ΠΠΠΠΠ’ΠΠ«Π₯
The method of allocation of Toxocara canis larvae from parenchyma of liver and lung of carnivorous animals for postmortem diagnostics of toxocarosis is of-fered at a weak infection and in prepatent period. The received culture of larvae of T. canis can be used for studying pathogenesis of the diseases, carrying out genetic researches and receiving proteins with diagnostic and protective properties. The list of the equipment, reactants and solutions for allocation of T. canis larvae is given. The work course which consists of preparation of tests of tissue of a liver and lungs, preparation of artificial gastric juice, digestion of tissues, an assessment of the re-sults, concentration of T. canis larvae is described. For researches take samples of a parenchyma of lungs or a liver weighing 50 g, crush on a meat grinder. Samples digest to the current of 50 min. at a temperature of 41β42 Β°C. After 10 minute up-holding a deposit merge in Petri's cups and investigate on existence of T. canis lar-vae and their mobility. For concentration of a material a deposit centrifuge during 10 min.ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΡΠΏΠΎΡΠΎΠ± Π²ΡΠ΄Π΅Π»Π΅Π½ΠΈΡ Π»ΠΈΡΠΈΠ½ΠΎΠΊ Toxocara canis ΠΈΠ· ΠΏΠ°ΡΠ΅Π½Ρ
ΠΈΠΌΡ ΠΏΠ΅ΡΠ΅Π½ΠΈ ΠΈ Π»Π΅Π³ΠΊΠΈΡ
ΠΏΠ»ΠΎΡΠΎΡΠ΄Π½ΡΡ
ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
Π΄Π»Ρ ΠΏΠΎΡΠΌΠ΅ΡΡΠ½ΠΎΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΡΠΎΠΊΡΠΎΠΊΠ°ΡΠΎΠ·Π° ΠΏΡΠΈ ΡΠ»Π°Π±ΠΎΠΉ ΠΈΠ½Π²Π°Π·ΠΈΠΈ ΠΈ Π² ΠΏΠ΅ΡΠΈΠΎΠ΄ ΠΏΡΠ΅ΠΏΠ°ΡΠ΅Π½ΡΠ½ΠΎΠΉ ΡΡΠ°Π΄ΠΈΠΈ. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ ΠΊΡΠ»ΡΡΡΡΡ Π»ΠΈΡΠΈΠ½ΠΎΠΊ T. canis ΠΌΠΎΠΆΠ½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ Π΄Π»Ρ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅Π·Π° Π±ΠΎΠ»Π΅Π·Π½ΠΈ, ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ Π±Π΅Π»ΠΊΠΎΠ² Ρ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΈ ΠΏΡΠΎΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌΠΈ ΡΠ²ΠΎΠΉΡΡΠ²Π°ΠΌΠΈ. ΠΠ°Π½ ΠΏΠ΅ΡΠ΅ΡΠ΅Π½Ρ ΠΎΠ±ΠΎΡΡΠ΄ΠΎΠ²Π°Π½ΠΈΡ, ΡΠ΅Π°ΠΊΡΠΈΠ²ΠΎΠ² ΠΈ ΡΠ°ΡΡΠ²ΠΎΡΠΎΠ² Π΄Π»Ρ Π²ΡΠ΄Π΅Π»Π΅Π½ΠΈΡ Π»ΠΈΡΠΈΠ½ΠΎΠΊ T. canis. ΠΠΏΠΈΡΠ°Π½ Ρ
ΠΎΠ΄ ΡΠ°Π±ΠΎΡΡ, ΠΊΠΎΡΠΎΡΡΠΉ ΡΠΎΡΡΠΎΠΈΡ ΠΈΠ· ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠΈ ΠΏΡΠΎΠ± ΡΠΊΠ°Π½ΠΈ ΠΏΠ΅ΡΠ΅Π½ΠΈ ΠΈ Π»Π΅Π³ΠΊΠΈΡ
, ΠΏΡΠΈΠ³ΠΎΡΠΎΠ²Π»Π΅Π½ΠΈΡ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠ½ΠΎΠ³ΠΎ ΡΠΎΠΊΠ°, ΠΏΠ΅ΡΠ΅Π²Π°ΡΠΈΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΠ± ΡΠΊΠ°Π½Π΅ΠΉ, ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ², ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ Π»ΠΈΡΠΈΠ½ΠΎΠΊ T. canis. ΠΠ»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π±Π΅ΡΡΡ ΠΏΡΠΎΠ±Ρ ΠΏΠ°ΡΠ΅Π½Ρ
ΠΈΠΌΡ Π»Π΅Π³ΠΊΠΈΡ
ΠΈΠ»ΠΈ ΠΏΠ΅ΡΠ΅Π½ΠΈ ΠΌΠ°ΡΡΠΎΠΉ 50 Π³, ΠΈΠ·ΠΌΠ΅Π»ΡΡΠ°ΡΡ Π½Π° ΠΌΡΡΠΎΡΡΠ±ΠΊΠ΅. ΠΡΠΎΠ±Ρ ΠΏΠ΅ΡΠ΅Π²Π°ΡΠΈΠ²Π°ΡΡ Π² ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ 50 ΠΌΠΈΠ½ ΠΏΡΠΈ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ΅ 41-42 ΠΎΠ‘ ΠΏΡΠΈ ΠΏΠΎΡΡΠΎΡΠ½Π½ΠΎΠΌ ΠΏΠ΅ΡΠ΅ΠΌΠ΅ΡΠΈΠ²Π°Π½ΠΈΠΈ. ΠΠΎΡΠ»Π΅ 10-ΠΌΠΈΠ½ΡΡΠ½ΠΎΠ³ΠΎ ΠΎΡΡΡΠ°ΠΈΠ²Π°Π½ΠΈΡ ΠΎΡΠ°Π΄ΠΎΠΊ ΡΠ»ΠΈΠ²Π°ΡΡ Π² ΡΠ°ΡΠΊΠΈ ΠΠ΅ΡΡΠΈ ΠΈ ΠΈΡΡΠ»Π΅Π΄ΡΡΡ Π½Π° Π½Π°Π»ΠΈΡΠΈΠ΅ Π»ΠΈΡΠΈΠ½ΠΎΠΊ T. canis ΠΈ ΠΈΡ
ΠΏΠΎΠ΄Π²ΠΈΠΆΠ½ΠΎΡΡΡ. ΠΠ»Ρ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π° ΠΎΡΠ°Π΄ΠΎΠΊ ΡΠ΅Π½ΡΡΠΈΡΡΠ³ΠΈΡΡΡΡ 10 ΠΌΠΈΠ½ ΠΏΡΠΈ 5000 ΠΎΠ±./ΠΌΠΈΠ½
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