594 research outputs found
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
The influence of cisplatin on transcriptional profile of tumor-associated macrophages of breast cancer and colon cancer
In the present study we demonstrated the whole transcriptome analysis of model tumor-associate
Analysis of negative magnetoresistance. Statistics of closed paths. I. Theory
Statistics of closed paths in two-dimensional (2D) systems, which just
determines the interference quantum correction to conductivity and anomalous
magnetoconductance, has been studied by computer simulation of a particle
motion over the plane with randomly distributed scatterers. Both ballistic and
diffusion regimes have been considered. The results of simulation have been
analyzed in the framework of diffusion approximation. They are used for
calculation of the magnetic field dependence of magnetoconductance in the model
2D system. It is shown that the anomalous magnetoconductance can be in
principle described by the well known expression, obtained in the diffusion
approximation, but with the prefactor less than unity and phase breaking length
which differs from true value.Comment: 10 pages, 12 figures, to be published in Phys.Rev.
The Outburst of the Blazar AO 0235+164 in 2006 December: Shock-in-Jet Interpretation
We present the results of polarimetric ( band) and multicolor photometric
() observations of the blazar AO 0235+16 during an outburst in 2006
December. The data reveal a short timescale of variability (several hours),
which increases from optical to near-IR wavelengths; even shorter variations
are detected in polarization. The flux density correlates with the degree of
polarization, and at maximum degree of polarization the electric vector tends
to align with the parsec-scale jet direction. We find that a variable component
with a steady power-law spectral energy distribution and very high optical
polarization (30-50%) is responsible for the variability. We interpret these
properties of the blazar withina model of a transverse shock propagating down
the jet. In this case a small change in the viewing angle of the jet, by
, and a decrease in the shocked plasma compression by a factor of
1.5 are sufficient to account for the variability.Comment: 22 pages, 8 figures, accepted for Ap
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