2,899 research outputs found
Braiding of anyonic quasiparticles in the charge transfer statistics of symmetric fractional edge-state Mach-Zehnder interferometer
We have studied the zero-temperature statistics of the charge transfer
between the two edges of Quantum Hall liquids of, in general, different filling
factors, , with , forming
Mach-Zehnder interferometer. General expression for the cumulant generating
function in the large-time limit is obtained for symmetric interferometer with
equal propagation times along the two edges between the contacts and constant
bias voltage. The low-voltage limit of the generating function can be
interpreted in terms of the regular Poisson process of electron tunneling,
while its leading large-voltage asymptotics is proven to coincide with the
solution of kinetic equation describing quasiparticle transitions between the
states of the interferometer with different effective flux through it,
where . For , this dynamics reflects both the
fractional charge and the fractional statistical angle of the
tunneling quasiparticles. Explicit expressions for the second (shot noise) and
third cumulants are obtained, and their voltage dependence is analyzed.Comment: 11 two-column pages, 4 figure
Fractional charge in transport through a 1D correlated insulator of finite length
Transport through a one channel wire of length confined between two leads
is examined when the 1D electron system has an energy gap : induced by the interaction in charge mode (: charge velocity in the
wire). In spinless case the transformation of the leads electrons into the
charge density wave solitons of fractional charge entails a non-trivial low
energy crossover from the Fermi liquid behavior below the crossover energy to the insulator one with the
fractional charge in current vs. voltage, conductance vs. temperature, and in
shot noise. Similar behavior is predicted for the Mott insulator of filling
factor .Comment: 5 twocolumn pages in RevTex, no figure
Transport properties of single channel quantum wires with an impurity: Influence of finite length and temperature on average current and noise
The inhomogeneous Tomonaga Luttinger liquid model describing an interacting
quantum wire adiabatically coupled to non-interacting leads is analyzed in the
presence of a weak impurity within the wire. Due to strong electronic
correlations in the wire, the effects of impurity backscattering, finite bias,
finite temperature, and finite length lead to characteristic non-monotonic
parameter dependencies of the average current. We discuss oscillations of the
non-linear current voltage characteristics that arise due to reflections of
plasmon modes at the impurity and quasi Andreev reflections at the contacts,
and show how these oscillations are washed out by decoherence at finite
temperature. Furthermore, the finite frequency current noise is investigated in
detail. We find that the effective charge extracted in the shot noise regime in
the weak backscattering limit decisively depends on the noise frequency
relative to , where is the Fermi velocity, the
Tomonaga Luttinger interaction parameter, and the length of the wire. The
interplay of finite bias, finite temperature, and finite length yields rich
structure in the noise spectrum which crucially depends on the
electron-electron interaction. In particular, the excess noise, defined as the
change of the noise due to the applied voltage, can become negative and is
non-vanishing even for noise frequencies larger than the applied voltage, which
are signatures of correlation effects.Comment: 28 pages, 19 figures, published version with minor change
ΠΠΎΡΡΡΠΏΠ½ΠΎΡΡΡ ΠΈ ΡΠ°ΡΠΌΠ°ΠΊΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ° ΠΈΠ½ΡΡΠ»ΠΈΠ½ΠΎΠ²ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ Π² ΡΡΡΠ°Π½Π°Ρ Ρ Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠΈΠΌ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎΠΌ Π±ΠΎΠ»ΡΠ½ΡΡ Π΄ΠΈΠ°Π±Π΅ΡΠΎΠΌ
The aim of the review was to analyze the availability of insulin therapy and the ways to improve it in countries with the largest number of patients with diabetes. It was also aimed to assess the medical, social and economic importance of insulin therapy and industrial production of therapeutic recombinant insulin.Materials and methods. The analysis was based on the data taken from monographs and publications in peer-reviewed journals, reports of companies and medical organizations, and the information available in the Internet. The demand and supply in the market of recombinant therapeutic insulin, the insulin market segmentation, and the costs for insulin replacement therapy in countries with the largest number of patients with diabetes were studied. Results and discussion. The pro- and contra- arguments regarding the import of insulin and its impact on the national budget are presented. Technological specifics of recombinant insulin production are discussed; the funding and investments in the biopharmaceutical sector are analyzed. The benefits of industrial production of recombinant therapeutic insulin and its impact on the regional and national economy are demonstrated.Conclusion. The availability of therapeutic insulin in most countries with the largest number of diabetics is unsatisfactory and needs a radical improvement. By analyzing the economic aspects of diabetes and the pharmacoeconomics of insulin, it is advised to develop a modern management system for insulin replacement therapy, especially in countries with large numbers of diabetics. The use of innovative technologies will reduce the production costs of recombinant therapeutic insulin, increase the availability of insulin therapy and thereby improve the quality of life in diabetic patients. Evidence that the production of therapeutic insulin has a positive effect not only on the healthcare, but on the socio-economic situation in the region is also provided. Countries with a number of diabetics exceeding 5 million are encouraged to launch their own production of recombinant therapeutic insulin. The results of the present analysis confirm that half of them are able to manufacture adequate human insulin and/or its analogues.Β Π¦Π΅Π»Ρ β Π°Π½Π°Π»ΠΈΠ· Π΄ΠΎΡΡΡΠΏΠ½ΠΎΡΡΠΈ ΠΈΠ½ΡΡΠ»ΠΈΠ½ΠΎΠ²ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΠΈ ΠΏΡΡΠ΅ΠΉ Π΅Π΅ ΡΠ»ΡΡΡΠ΅Π½ΠΈΡ Π² ΡΡΡΠ°Π½Π°Ρ
Ρ Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠΈΠΌ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎΠΌ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Π΄ΠΈΠ°Π±Π΅ΡΠΎΠΌ. ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π° ΠΌΠ΅Π΄ΠΈΠΊΠΎ-ΡΠΎΡΠΈΠ°Π»ΡΠ½Π°Ρ ΠΈ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠ°Ρ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ ΠΈΠ½ΡΡΠ»ΠΈΠ½ΠΎΠ²ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΠΈ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² ΡΠ΅ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Π½ΡΠ½ΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΠΈΠ½Π°.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠ½Π°Π»ΠΈΠ· ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΡΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π΄Π°Π½Π½ΡΡ
ΠΌΠΎΠ½ΠΎΠ³ΡΠ°ΡΠΈΠΉ ΠΈ ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΉ Π² Π½Π°ΡΡΠ½ΡΡ
ΡΠ΅ΡΠ΅Π½Π·ΠΈΡΡΠ΅ΠΌΡΡ
ΠΆΡΡΠ½Π°Π»Π°Ρ
, ΠΎΡΡΠ΅ΡΠΎΠ² ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ ΠΈ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΡ
ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΉ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ΅Π»Π΅Π²Π°Π½ΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ, ΡΠ°Π·ΠΌΠ΅ΡΠ΅Π½Π½ΠΎΠΉ Π² ΡΠ΅ΡΠΈ ΠΠ½ΡΠ΅ΡΠ½Π΅Ρ. ΠΠ·ΡΡΠ΅Π½Ρ ΡΠΏΡΠΎΡ ΠΈ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΈΠ΅ Π½Π° ΡΡΠ½ΠΊΠ΅ ΡΠ΅ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Π½ΡΠ½ΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΠΈΠ½Π°, ΡΠ΅Π³ΠΌΠ΅Π½ΡΠ°ΡΠΈΡ ΡΡΠ½ΠΊΠ° ΠΈΠ½ΡΡΠ»ΠΈΠ½Π° ΠΈ ΡΡΠΎΠΈΠΌΠΎΡΡΡ Π·Π°ΠΌΠ΅ΡΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΈΠ½ΡΡΠ»ΠΈΠ½ΠΎΠ²ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ Π² ΡΡΡΠ°Π½Π°Ρ
Ρ Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠΈΠΌ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎΠΌ Π±ΠΎΠ»ΡΠ½ΡΡ
ΡΠ°Ρ
Π°ΡΠ½ΡΠΌ Π΄ΠΈΠ°Π±Π΅ΡΠΎΠΌ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈ ΠΎΠ±ΡΡΠΆΠ΄Π΅Π½ΠΈΠ΅. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ Π°ΡΠ³ΡΠΌΠ΅Π½ΡΡ Π² ΠΏΠΎΠ»ΡΠ·Ρ ΠΈ ΠΏΡΠΎΡΠΈΠ² ΠΈΠΌΠΏΠΎΡΡΠ° ΠΈΠ½ΡΡΠ»ΠΈΠ½Π° ΠΈ Π΅Π³ΠΎ Π²Π»ΠΈΡΠ½ΠΈΡ Π½Π° Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΡΠΉ Π±ΡΠ΄ΠΆΠ΅Ρ. ΠΠ±ΡΡΠΆΠ΄Π°ΡΡΡΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΡΠ΅ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Π½ΡΠ½ΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΠΈΠ½Π°, Π°Π½Π°Π»ΠΈΠ·ΠΈΡΡΡΡΡΡ ΡΠΈΠ½Π°Π½ΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΈ Π² Π±ΠΈΠΎΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠ΅ΠΊΡΠΎΡ. ΠΠΎΠΊΠ°Π·Π°Π½Ρ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²Π° ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² ΡΠ΅ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Π½ΡΠ½ΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΠΈΠ½Π° ΠΈ Π΅Π³ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π° ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ ΠΈ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΡ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠΎΡΡΡΠΏΠ½ΠΎΡΡΡ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² ΠΈΠ½ΡΡΠ»ΠΈΠ½Π° Π² Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²Π΅ ΡΡΡΠ°Π½ Ρ Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠΈΠΌ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎΠΌ Π±ΠΎΠ»ΡΠ½ΡΡ
Π΄ΠΈΠ°Π±Π΅ΡΠΎΠΌ ΡΠ²Π»ΡΠ΅ΡΡΡ Π½Π΅ΡΠ΄ΠΎΠ²Π»Π΅ΡΠ²ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΈ ΡΡΠ΅Π±ΡΠ΅Ρ ΡΠ°Π΄ΠΈΠΊΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ»ΡΡΡΠ΅Π½ΠΈΡ. ΠΠ½Π°Π»ΠΈΠ· ΡΠΏΠΈΠ΄ΠΈΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
, ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΡΠΏΠ΅ΠΊΡΠΎΠ² Π΄ΠΈΠ°Π±Π΅ΡΠ° ΠΈ ΡΠ°ΡΠΌΠ°ΠΊΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΈΠ½ΡΡΠ»ΠΈΠ½Π° ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π°Π΅Ρ ΡΠ΅Π»Π΅ΡΠΎΠΎΠ±ΡΠ°Π·Π½ΠΎΡΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π·Π°ΠΌΠ΅ΡΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΈΠ½ΡΡΠ»ΠΈΠ½ΠΎΡΠ΅ΡΠ°ΠΏΠΈΠ΅ΠΉ, ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎ Π² ΡΡΡΠ°Π½Π°Ρ
Ρ Π±ΠΎΠ»ΡΡΠΈΠΌ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎΠΌ Π±ΠΎΠ»ΡΠ½ΡΡ
Π΄ΠΈΠ°Π±Π΅ΡΠΎΠΌ. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ ΡΠ½ΠΈΠ·ΠΈΡΡ ΡΠ΅Π±Π΅ΡΡΠΎΠΈΠΌΠΎΡΡΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² ΡΠ΅ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Π½ΡΠ½ΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΠΈΠ½Π°, ΠΏΠΎΠ²ΡΡΠΈΡΡ Π΄ΠΎΡΡΡΠΏΠ½ΠΎΡΡΡ ΠΈΠ½ΡΡΠ»ΠΈΠ½ΠΎΠ²ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΠΈ ΡΠ΅ΠΌ ΡΠ°ΠΌΡΠΌ ΠΏΡΠΎΠ΄Π»ΠΈΡΡ ΠΈ ΡΠ»ΡΡΡΠΈΡΡ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΆΠΈΠ·Π½ΠΈ Π±ΠΎΠ»ΡΠ½ΡΡ
Π΄ΠΈΠ°Π±Π΅ΡΠΎΠΌ. Π ΠΎΠ±Π·ΠΎΡΠ΅ ΠΏΡΠΈΠ²Π΅Π΄Π΅Π½ ΠΏΡΠΈΠΌΠ΅Ρ ΡΠΎΠ³ΠΎ, ΡΡΠΎ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²ΠΎ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² ΠΈΠ½ΡΡΠ»ΠΈΠ½Π° ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ Π½Π° Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΠ΅, Π½ΠΎ ΠΈ Π½Π° ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΡΡ ΡΠΈΡΡΠ°ΡΠΈΡ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π΅. Π‘ΡΡΠ°Π½Π°ΠΌ, Π² ΠΊΠΎΡΠΎΡΡΡ
ΡΠΈΡΠ»ΠΎ Π±ΠΎΠ»ΡΠ½ΡΡ
Π΄ΠΈΠ°Π±Π΅ΡΠΎΠΌ ΠΏΡΠ΅Π²ΡΡΠ°Π΅Ρ 5 ΠΌΠ»Π½ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊ, ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄ΡΠ΅ΡΡΡ Π½Π°ΡΠ°ΡΡ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΠΎΠ΅ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²ΠΎ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² ΡΠ΅ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Π½ΡΠ½ΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΠΈΠ½Π°. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ Π΄Π°Π½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π°ΡΡ, ΡΡΠΎ ΠΏΠΎΠ»ΠΎΠ²ΠΈΠ½Π° ΠΈΠ· Π½ΠΈΡ
Π² ΡΠΎΡΡΠΎΡΠ½ΠΈΠΈ Π½Π°ΡΠ°ΡΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²ΠΎ Π°Π΄Π΅ΠΊΠ²Π°ΡΠ½ΠΎΠ³ΠΎ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π° ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΠΈΠ½Π° ΠΈ/ΠΈΠ»ΠΈ Π΅Π³ΠΎ Π°Π½Π°Π»ΠΎΠ³ΠΎΠ²
ΠΠΈΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ°ΠΊΡΠΎΡΡ, Π²Π»ΠΈΡΡΡΠΈΠ΅ Π½Π° ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΡΠΎΡΠ΅ΡΡ COVID-19
Objective: to analyze the role of diet in the epidemiological parameters of the SARS-CoV-2 Coronavirus and identify factors that correlate withthe reduction in the severity of the consequences of COVID-19 disease, namely the rate of prevalence (RPr) and infection fatality rate (IFR) in different regions.Material and methods. The information and data required for this study were found in scientific publications and the media available on the Internet, as well as obtained from statistical databases using specific keywords, both for a single tag and in various combinations of them. Statistical samples were managed from sources and facts available on the Internet. Pearson correlation coefficient (r) was used to understand a statistical relationship between two variables.Results. The relationship between nutritional factors and the impact of the 15-month COVID-19 pandemic in different regions was investigated using various available statistics for five continents and 47 countries. A clear relationship was found between the outcomes of the SARSCoV-2 epidemic (RPr and IFR) and the amount of consumed essential nutrients, with correlations in the negative range r=β0.98 and r=β0.66 for plant proteins and with correlation coefficients r=0.92 for animal proteins. Also, excessive sugar consumption increased the severity of COVID-19 with correlation coefficients in the range of r=0.99β0.72 in the representative samples.Conclusion. Statistical analysis presented that the number of diagnosed patients with SARS-CoV-2 (RPr) and deaths from COVID-19 (IFR) was significantly lower in regions where more plant foods were consumed than animal products. A detailed study of the relationship between the Coronavirus and the host as well as the metabolism of protein and sugar may reveal the diet factors responsible for resistance to the pathogen. Edible plants can contain components responsible for suppressing the replication cycle of the SARS-CoV-2 virus. Biochemical investigation of these components would help in the development of etiological oral administrated anti-COVID-9 medicine.Π¦Π΅Π»Ρ: ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ ΡΠΎΠ»Ρ ΡΠ°ΡΠΈΠΎΠ½Π° ΠΏΠΈΡΠ°Π½ΠΈΡ Π² ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°Ρ
ΠΊΠΎΡΠΎΠ½Π°Π²ΠΈΡΡΡΠ° SARS-CoV-2 ΠΈ Π²ΡΡΠ²ΠΈΡΡ ΡΠ°ΠΊΡΠΎΡΡ, ΠΊΠΎΡΡΠ΅Π»ΠΈΡΡΡΡΠΈΠ΅ ΡΠΎ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΡΡΠΆΠ΅ΡΡΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠΉ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ COVID-19, Π° ΠΈΠΌΠ΅Π½Π½ΠΎ ΡΠ°ΡΡΠΎΡΠΎΠΉ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ (Π°Π½Π³Π». rate of prevalence, RPr) ΠΈ ΡΠΌΠ΅ΡΡΠ½ΠΎΡΡΠΈ (Π°Π½Π³Π». infection fatality rate, IFR) Π² ΡΠ°Π·Π½ΡΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
.ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠ½ΡΠΎΡΠΌΠ°ΡΠΈΡ ΠΈ Π΄Π°Π½Π½ΡΠ΅, Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΠ΅ Π΄Π»Ρ ΡΡΠΎΠΉ ΡΠ°Π±ΠΎΡΡ, Π±ΡΠ»ΠΈ Π½Π°ΠΉΠ΄Π΅Π½Ρ Π² Π½Π°ΡΡΠ½ΡΡ
ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΡΡ
ΠΈ ΡΡΠ΅Π΄ΡΡΠ²Π°Ρ
ΠΌΠ°ΡΡΠΎΠ²ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ, Π΄ΠΎΡΡΡΠΏΠ½ΡΡ
Π² ΠΠ½ΡΠ΅ΡΠ½Π΅ΡΠ΅, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ ΠΈΠ· Π±Π°Π· ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π΄Π°Π½Π½ΡΡ
Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΡ
ΠΊΠ»ΡΡΠ΅Π²ΡΡ
ΡΠ»ΠΎΠ² Π΄Π»Ρ ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΠ΅Π³Π° ΠΈΠ»ΠΈ Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΈΡ
ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΡΡ
. Π‘ΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π²ΡΠ±ΠΎΡΠΊΠΈ Π±ΡΠ»ΠΈ ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½Ρ ΠΈΠ· ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠ² ΠΈ ΡΠ°ΠΊΡΠΎΠ², Π΄ΠΎΡΡΡΠΏΠ½ΡΡ
Π² ΠΠ½ΡΠ΅ΡΠ½Π΅ΡΠ΅. ΠΠΎΡΡΠ΅Π»ΡΡΠΈΡ Π΄Π»Ρ Π΄Π²ΡΡ
ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»Π°ΡΡ ΠΊΠ°ΠΊ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½Ρ ΠΠΈΡΡΠΎΠ½Π°.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠ°ΠΊΡΠΎΡΠ°ΠΌΠΈ ΠΏΠΈΡΠ°Π½ΠΈΡ ΠΈ Π²Π»ΠΈΡΠ½ΠΈΠ΅ΠΌ 15-ΠΌΠ΅ΡΡΡΠ½ΠΎΠΉ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ COVID-19 Π² ΡΠ°Π·Π½ΡΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
Π±ΡΠ»Π° ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π° Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π΄ΠΎΡΡΡΠΏΠ½ΡΡ
ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π΄Π°Π½Π½ΡΡ
ΠΏΠΎ ΠΏΡΡΠΈ ΠΊΠΎΠ½ΡΠΈΠ½Π΅Π½ΡΠ°ΠΌ ΠΈ 47 ΡΡΡΠ°Π½Π°ΠΌ. ΠΠ±Π½Π°ΡΡΠΆΠ΅Π½Π° ΡΠ΅ΡΠΊΠ°Ρ ΡΠ²ΡΠ·Ρ ΠΌΠ΅ΠΆΠ΄Ρ ΠΈΡΡ
ΠΎΠ΄Π°ΠΌΠΈ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΈ SARS-CoV-2 (RPr ΠΈ IFR) ΠΈ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎΠΌ ΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½Π½ΡΡ
ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
Π½ΡΡΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΡΠΌΠΈ Π² ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠΌ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π΅ r=β0,98 ΠΈ r=β0,66 Π΄Π»Ρ ΡΠ°ΡΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
Π±Π΅Π»ΠΊΠΎΠ² ΠΈ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠΎΠΌ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ r=0,92 Π΄Π»Ρ Π±Π΅Π»ΠΊΠΎΠ² ΠΆΠΈΠ²ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠΈΡΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡ. Π’Π°ΠΊΠΆΠ΅ ΡΡΠ΅Π·ΠΌΠ΅ΡΠ½ΠΎΠ΅ ΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΠ΅ ΡΠ°Ρ
Π°ΡΠ° ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π»ΠΎ ΡΡΠΆΠ΅ΡΡΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ COVID-19 Ρ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠ°ΠΌΠΈ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ Π² Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π΅ r=0,99β0,72 Π² ΡΠ΅ΠΏΡΠ΅Π·Π΅Π½ΡΠ°ΡΠΈΠ²Π½ΡΡ
Π²ΡΠ±ΠΎΡΠΊΠ°Ρ
.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π‘ΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π°Π», ΡΡΠΎ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ SARS-CoV-2 (RPr) ΠΈ ΡΠΌΠ΅ΡΡΠ΅ΠΉ ΠΎΡ COVID-19 (IFR) Π±ΡΠ»ΠΎ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ Π½ΠΈΠΆΠ΅ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
, Π³Π΄Π΅ ΠΏΠΎΡΡΠ΅Π±Π»ΡΠ»ΠΎΡΡ Π±ΠΎΠ»ΡΡΠ΅ ΡΠ°ΡΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΏΠΈΡΠΈ, ΡΠ΅ΠΌ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ² ΠΆΠΈΠ²ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠΈΡΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡ. ΠΠ΅ΡΠ°Π»ΡΠ½ΠΎΠ΅ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ ΠΌΠ΅ΠΆΠ΄Ρ ΠΊΠΎΡΠΎΠ½Π°Π²ΠΈΡΡΡΠΎΠΌ ΠΈ Ρ
ΠΎΠ·ΡΠΈΠ½ΠΎΠΌ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΌΠ΅ΡΠ°Π±ΠΎΠ»ΠΈΠ·ΠΌΠ° Π±Π΅Π»ΠΊΠΎΠ² ΠΈ ΡΠ°Ρ
Π°ΡΠΎΠ² ΠΏΠΎΠΌΠΎΠΆΠ΅Ρ Π²ΡΡΠ²ΠΈΡΡ ΡΠ°ΠΊΡΠΎΡΡ ΠΏΠΈΡΠ°Π½ΠΈΡ, ΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΡΠ΅ Π·Π° ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΡ ΠΊ ΠΏΠ°ΡΠΎΠ³Π΅Π½Ρ. Π‘ΡΠ΅Π΄ΠΎΠ±Π½ΡΠ΅ ΡΠ°ΡΡΠ΅Π½ΠΈΡ ΠΌΠΎΠ³ΡΡ ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΡ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΡ, ΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΡΠ΅ Π·Π° ΠΏΠΎΠ΄Π°Π²Π»Π΅Π½ΠΈΠ΅ ΡΠΈΠΊΠ»Π° ΡΠ΅ΠΏΠ»ΠΈΠΊΠ°ΡΠΈΠΈ Π²ΠΈΡΡΡΠ° SARS-CoV-2. ΠΠΈΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΡΠΈΡ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠΎΠ² ΠΏΠΎΠΌΠΎΠ³ΡΡ Π² ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ΅ΡΠΎΡΠ°Π»ΡΠ½ΡΡ
ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² ΠΏΡΠΎΡΠΈΠ² COVID-19
Charge transfer statistics in symmetric fractional edge-state Mach-Zehnder interferometer
We have studied the zero-temperature statistics of charge transfer between
the two edges of Quantum Hall liquids with filling factors forming Mach-Zehnder interferometer. The known Bethe ansatz
solution for symmetric interferometer is used to obtain the cumulant-generating
function of charge at constant voltage between the edges. Its low-
behavior can be interpreted in terms of electron tunneling, while its large-
asymptotics reproduces the -state dynamics () of
quasiparticles with fractional (for ) charge and statistics. We also
analyze the transition region between electrons and quasiparticles.Comment: 5 two-column pages in RevTex4, 2 eps figures, final version with
corrected misprints, references, and introduction as appeared in PRB Rapid
Com
Threshold features in transport through a 1D constriction
Suppression of electron current through a 1D channel of length
connecting two Fermi liquid reservoirs is studied taking into account the
Umklapp electron-electron interaction induced by a periodic potential. This
interaction causes Hubbard gaps for . In the perturbative
regime where ( charge velocity), and for small deviations
of the electron density from its commensurate values
can diverge with some exponent as voltage or temperature decreases above
, while it goes to zero below . This results
in a nonmonotonous behavior of the conductance.Comment: Final variant published in PRL, 79, 1714; minor correction
Detecting synchronization of self-sustained oscillators by external driving with varying frequency
We propose a method for detecting the presence of synchronization of
self-sustained oscillator by external driving with linearly varying frequency.
The method is based on a continuous wavelet transform of the signals of
self-sustained oscillator and external force and allows one to distinguish the
case of true synchronization from the case of spurious synchronization caused
by linear mixing of the signals. We apply the method to driven van der Pol
oscillator and to experimental data of human heart rate variability and
respiration.Comment: 9 pages, 7 figure
Priority areas of development of resources of hydrocarbons of Hlynskyi and Solokhivskyi oil and gas region of Dnipro and Donetsk basin
The resource potential of the Hlynsko-Solokhivskyi oil and gas region, selected area of oil and gas accumulation (OGA) was described. By means of graphical analysis the extent of the area resource potential development and selected areas of OGA was defined. The analysis of non-discovered resources (including localized) in areas, promising and producing complexes and deeps was made. The most promising areas were determined. The appropriate recommendations on further geology exploration for the purpose of improving the efficiency on oil and gas were given
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