121 research outputs found
Chukotsk or Chukchi: Some Thoughts on the Transposition of Soviet Geographical Names
... To some cartographers and gazetteer writers the transposition of Russian geographical names into English may seem a subject well suited for an arbitrary rule of thumb; but is it? ... The reason for the current trend towards indiscriminate transliteration of Soviet geographical names is not far to seek. It is the simplest way to avoid the problems of adaptation, and at the same time enables all those who may now have a need to know the Russian version of the names to avoid learning the 32 letters of the Cyrillic alphabet - at the price of a minor distortion and some uncertainty in spelling and pronunciation. By the same token it is also the crudest manner of transposition. It literally deprives the English language of a galaxy of geographical names for a vast and increasingly important part of the earth. It is a way of dodging an issue instead of facing it. ..
Criminal protection of labour relations
The criminal legal protection of human labour rights from socially dangerous attacks is a necessary component of the mechanism for their implementation and State protection, and must be ensured through a unified and
harmonized system of criminal law. The criminalization of certain acts often arises from the impact of the adoption of relevant international legal instruments in a particular area.The criminal legal protection of human labour rights from socially dangerous attacks is a necessary component of the mechanism for their implementation and State protection, and must be ensured through a unified and
harmonized system of criminal law. The criminalization of certain acts often arises from the impact of the adoption of relevant international legal instruments in a particular area
Criminological characteristics of the intellectual property protection system in Ukraine
Today, Ukraine is on track to reform its own system of intellectual property rights (intellectual law). On the one hand, Ukraine participates in all the main (basic) universally recognized international treaties in the field of intellectual property protection, on the other - Ukrainian legislation has not been formed in final form.Today, Ukraine is on track to reform its own system of intellectual property rights (intellectual law). On the one hand, Ukraine participates in all the main (basic) universally recognized international treaties in the field of intellectual property protection, on the other - Ukrainian legislation has not been formed in final form
Combining multiple classifications of chemical structures using consensus clustering
Consensus clustering involves combining multiple clusterings of the same set of objects to achieve a single clustering that will, hopefully, provide a better picture of the groupings that are present in a dataset. This Letter reports the use of consensus clustering methods on sets of chemical compounds represented by 2D fingerprints. Experiments with DUD, IDAlert, MDDR and MUV data suggests that consensus methods are unlikely to result in significant improvements in clustering effectiveness as compared to the use of a single clustering method. (C) 2012 Elsevier Ltd. All rights reserved
Local multiresolution order in community detection
Community detection algorithms attempt to find the best clusters of nodes in
an arbitrary complex network. Multi-scale ("multiresolution") community
detection extends the problem to identify the best network scale(s) for these
clusters. The latter task is generally accomplished by analyzing community
stability simultaneously for all clusters in the network. In the current work,
we extend this general approach to define local multiresolution methods, which
enable the extraction of well-defined local communities even if the global
community structure is vaguely defined in an average sense. Toward this end, we
propose measures analogous to variation of information and normalized mutual
information that are used to quantitatively identify the best resolution(s) at
the community level based on correlations between clusters in
independently-solved systems. We demonstrate our method on two constructed
networks as well as a real network and draw inferences about local community
strength. Our approach is independent of the applied community detection
algorithm save for the inherent requirement that the method be able to identify
communities across different network scales, with appropriate changes to
account for how different resolutions are evaluated or defined in a particular
community detection method. It should, in principle, easily adapt to
alternative community comparison measures.Comment: 19 pages, 11 figure
Treatment of basal cell cancer in the periorbital area using a pulsed copper vapour laser
An increase in life expectancy in developed countries is inevitably accompanied by an increase in the number of nonmelanoma skin diseases, which are primarily represented by basal cell cancer (BCC) occurring in elderly and old-age patients. The pathogenesis of such diseases is associated both with impaired proliferation and differentiation of the keratinocytes of the epidermal basal layer, as well as with the transformation of the vasculature in the papillary dermis in the vicinity of BCC. In recent years, such conditions have been increasingly treated using CO2 , neodymium, diode and pulsed-dye lasers. In many cases, these devices allow malignant BCC cells to be successfully eliminated. However, the use of near-infrared lasers in the periorbital area is limited due to a higher risk of damaging the organs of the visual system. Therefore, a search for new laser surgery methods that can be used for treating malignant skin tumours seems to be a prospective research direction.Methods. 3 male and 9 female patients diagnosed with primary BCC were treated using a copper vapour laser (Yakhroma-Med). The age of the patients varied from 34 to 77 years. Laser treatment was carried out in one session under the following irradiation parameters: the wavelength of 511 and 578 nm, the average power of up to 3 W and a series of 15 ns pulses. The pause between the pulses was 60 ΞΌs, with the exposure time ranging from 200 to 600 ms. The light spot diameter on the skin surface was 1 mm. The follow-up monitoring duration was 24 months.Results. In all the BCC patients, one session of copper vapour laser treatment allowed malignant cells in the disease area to be completely eliminated without relapses during 2 years after the therapy. The duration of skin healing in the irradiated area was 2 weeks in patients under the age of 40 years, compared to 3β4 weeks in elderly patients. After the treatment, short-term side effects, such as a slight edema, erythema and peeling, were observed
MORPHOFUNCTIONAL STATEOFKIDNEYS OF RATSAFTER INJECTIONOFPLACENTAL CRYOEXTRACT IN HEYMANN NEPHRITIS
ΠΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΠΈΠΌΠΌΡΠ½Π½ΠΎΠ³ΠΎ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠ° ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡ ΠΏΠΎΡΠ΅ΠΊ Π½Π° ΠΌΠΎΠ΄Π΅Π»ΠΈ Π½Π΅ΡΡΠΈΡΠ° Π₯Π΅ΠΉΠΌΠ°Π½Π° (ΠΠ₯), Π²ΡΠ·ΡΠ²Π°ΡΡΠ΅Π³ΠΎ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠΎΡΡΠ΄ΠΎΠ² ΠΏΠΎΡΠ΅ΡΠ½ΡΡ
ΠΊΠ»ΡΠ±ΠΎΡΠΊΠΎΠ², ΠΈΡ
ΠΌΠΎΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΠΌΠΎΡΡΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΠΈΠ½ΡΠ΅ΡΠ΅Ρ
Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ: ΠΈΠ·ΡΡΠΈΡΡ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ ΠΊΡΠΈΠΎΡΠΊΡΡΡΠ°ΠΊΡΠ° Π°Π»Π»ΠΎΠ³Π΅Π½Π½ΠΎΠΉ ΠΏΠ»Π°ΡΠ΅Π½ΡΡ (ΠΠΠ) Π½Π° ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΠΈ ΠΌΠΎΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΏΠΎΡΠ΅ΠΊ ΠΏΡΠΈ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎΠΌ ΠΠ₯.
ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΡΡΡ-ΡΠ°ΠΌΡΡ 4-Ρ
ΠΌΠ΅ΡΡΡΠ½ΠΎΠ³ΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΠ° Π±ΡΠ»ΠΈ ΡΠ°Π·Π΄Π΅Π»Π΅Π½Ρ Π½Π° 3 Π³ΡΡΠΏΠΏΡ: I β ΠΈΠ½ΡΠ°ΠΊΡΠ½ΡΠ΅; 2 β ΠΆΠΈΠ²ΠΎΡΠ½ΡΠ΅ Ρ ΠΌΠΎΠ΄Π΅Π»ΡΡ ΠΠ₯; 3 β ΠΆΠΈΠ²ΠΎΡΠ½ΡΠ΅ Ρ ΠΌΠΎΠ΄Π΅Π»ΡΡ ΠΠ₯, ΠΊΠΎΡΠΎΡΡΠΌ Π½Π° 28 Π΄Π΅Π½Ρ ΠΏΠΎΡΠ»Π΅ ΠΈΠΌΠΌΡΠ½ΠΈΠ·Π°ΡΠΈΠΈ 3 ΡΠ°Π·Π° Π·Π° Π½Π΅Π΄Π΅Π»Ρ Π²Π½ΡΡΡΠΈΠΌΡΡΠ΅ΡΠ½ΠΎ Π²Π²ΠΎΠ΄ΠΈΠ»ΠΈ ΠΠΠ. ΠΠΈΠ²ΠΎΡΠ½ΡΡ
2-ΠΉ ΠΈ 3-ΠΉ Π³ΡΡΠΏΠΏ Π²ΡΠ²ΠΎΠ΄ΠΈΠ»ΠΈ ΠΈΠ· ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ° Π½Π° 45 ΠΈ 60 ΡΡΡΠΊΠΈ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Ρ Π±ΠΈΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅, ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΠΈ ΠΌΠΎΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΏΠΎΡΠ΅ΠΊ Π½Π° Π²ΡΠ΅Ρ
ΡΡΠ°Π΄ΠΈΡΡ
ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΠ₯ ΠΈ ΠΏΠΎΡΠ»Π΅ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ ΠΠΠ.
Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈ ΠΈΡ
ΠΎΠ±ΡΡΠΆΠ΄Π΅Π½ΠΈΠ΅. Π£ ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
2 ΠΈ 3 Π³ΡΡΠΏΠΏΡ Π½Π° 28-Π΅ ΡΡΡΠΊΠΈ Π²ΠΎΠ·ΡΠ°ΡΡΠ°Π»ΠΎ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΡΠΈΡΠΊΡΠ»ΠΈΡΡΡΡΠΈΡ
ΠΈΠΌΠΌΡΠ½Π½ΡΡ
ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠΎΠ² (Π¦ΠΠ) Π² ΠΊΡΠΎΠ²ΠΈ ΠΈ ΠΈΠΌΠΌΡΠ½Π½ΡΡ
Π΄Π΅ΠΏΠΎΠ·ΠΈΡΠΎΠ² Π½Π° Π±Π°Π·Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅ΠΌΠ±ΡΠ°Π½Π°Ρ
ΠΊΠ»ΡΠ±ΠΎΡΠΊΠΎΠ², ΡΡΠΎ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π°Π»ΠΎΡΡ Π½Π°ΡΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΈΡ
ΡΡΡΡΠΊΡΡΡΡ ΠΈ Π²ΡΠ΄Π΅Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΡΠ½ΠΊΡΠΈΠΈ ΠΏΠΎΡΠ΅ΠΊ. ΠΡΡΠ²Π»Π΅Π½Ρ ΠΌΠΎΡΡΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΡ Π² ΡΠ°Π·ΠΌΠ΅ΡΠ°Ρ
ΠΊΠ»ΡΠ±ΠΎΡΠΊΠΎΠ² Π² Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅ ΠΠ₯. Π§Π΅ΡΠ΅Π· 60 ΡΡΡΠΎΠΊ Π² ΡΠΊΠ°Π½ΠΈ ΠΏΠΎΡΠ΅ΠΊ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
Π½Π°Π±Π»ΡΠ΄Π°Π»ΠΈΡΡ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΈ ΡΠΎΠΊΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ΅Π·Π°Π½Π³ΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ»ΠΈΡΠ΅ΡΠ°ΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π³Π»ΠΎΠΌΠ΅ΡΡΠ»ΠΎΠ½Π΅ΡΡΠΈΡΠ° ΠΊΠ°ΠΊ ΠΏΡΠΈ Π²Π²Π΅Π΄Π΅Π½ΠΈΠΈ ΠΠΠ, ΡΠ°ΠΊ ΠΈ Π±Π΅Π· Π½Π΅Π³ΠΎ. ΠΡΠΈ Π²Π²Π΅Π΄Π΅Π½ΠΈΠΈ ΠΠΠ ΠΎΡΠ»ΠΎΠΆΠ΅Π½ΠΈΡ Π΄Π΅ΠΏΠΎΠ·ΠΈΡΠΎΠ² ΠΈΠΌΠΌΡΠ½Π½ΡΡ
ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠΎΠ² Π½Π΅ ΠΎΠ±Π½Π°ΡΡΠΆΠΈΠ²Π°Π»ΠΎΡΡ.
ΠΡΠ²ΠΎΠ΄Ρ: ΠΡΠΈ ΠΠ₯ Π½Π° 28 ΡΡΡΠΊΠΈ ΠΎΡΠΌΠ΅ΡΠ΅Π½ΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΠ°Π½ΠΈΠ΅ Π¦ΠΠ Π² ΠΊΡΠΎΠ²ΠΈ, ΠΎΡΠ»ΠΎΠΆΠ΅Π½ΠΈΠ΅ Π΄Π΅ΠΏΠΎΠ·ΠΈΡΠΎΠ² ΠΈΠΌΠΌΡΠ½Π½ΡΡ
ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠΎΠ² Π½Π° Π±Π°Π·Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅ΠΌΠ±ΡΠ°Π½Π°Ρ
ΠΊΠ°ΠΏΠΈΠ»Π»ΡΡΠΎΠ² ΠΊΠ»ΡΠ±ΠΎΡΠΊΠΎΠ², ΡΡΠΆΠ΅Π½ΠΈΠ΅ ΠΈΡ
ΠΏΡΠΎΡΠ²Π΅ΡΠ° ΠΈ ΠΏΡΠΎΠ»ΠΈΡΠ΅ΡΠ°ΡΠΈΡ ΠΌΠ΅Π·Π°Π½Π³ΠΈΠΎΡΠΈΡΠΎΠ², ΡΡΠΎ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π°Π»ΠΎΡΡ Π½Π°ΡΡΡΠ΅Π½ΠΈΠ΅ΠΌ Π²ΡΠ΄Π΅Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΡΠ½ΠΊΡΠΈΠΈ ΠΏΠΎΡΠ΅ΠΊ. ΠΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΠΠΠ Π½ΠΎΡΠΌΠ°Π»ΠΈΠ·ΠΎΠ²ΡΠ²Π°Π»ΠΎ ΡΡΠ½ΠΊΡΡΡ ΠΏΠΎΡΠ΅ΠΊ, ΡΠ½ΠΈΠΆΠ°Π»ΠΎ ΠΊ 45 ΡΡΡΠΊΠ°ΠΌ ΡΡΠΎΠ²Π½ΠΈ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΌΠ΅Π½ΡΠ° Π¦ΠΠ Π΄ΠΎ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π½ΠΎΡΠΌΡ
Consensus clustering in complex networks
The community structure of complex networks reveals both their organization
and hidden relationships among their constituents. Most community detection
methods currently available are not deterministic, and their results typically
depend on the specific random seeds, initial conditions and tie-break rules
adopted for their execution. Consensus clustering is used in data analysis to
generate stable results out of a set of partitions delivered by stochastic
methods. Here we show that consensus clustering can be combined with any
existing method in a self-consistent way, enhancing considerably both the
stability and the accuracy of the resulting partitions. This framework is also
particularly suitable to monitor the evolution of community structure in
temporal networks. An application of consensus clustering to a large citation
network of physics papers demonstrates its capability to keep track of the
birth, death and diversification of topics.Comment: 11 pages, 12 figures. Published in Scientific Report
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