325 research outputs found
The nexus of soil radon and hydrogen dynamics and seismicity of the northern flank of the Kuril-Kamchatka subduction zone
The comparison of kinematics and dynamic parameters of radon and molecular hydrogen concentration in subsoil
air on the stations network at the Petropavlovsk-Kamchatsky geodynamic proving ground with seismicity
of the northern flank of the Kuril-Kamchatka subduction zone was fulfilled in the period from July till August
2004. On the basis of correlation analysis of the regional seismicity and variations of radon flux density calculated
using the data of gas-discharge counters of STS-6 type and SSNTDs it was shown that the radon mass
transfer abnormal variations are conditioned by both regional seismicity in total and the subduction zone of proving
ground. The azimuths of Β«geodeformation wavesΒ» coming to the registration points are calculated during
clearly expressed anomaly beginnings, which coincide with directions to earthquake epicenters taking place at
the same time. The geochemical anomalies recorded are presumptively deformative by nature and can be conditioned
by processes of Β«quasi-viscousΒ» flow of the lithosphere during rearrangement of tectonic stress fields of
the subduction zone. The short-term (predicted time Ξ€ <14 days) precursor of the earthquakes swarm was revealed
in hydrogen dynamics on August, 4-5 (four earthquakes had Mβ₯5.3 and epicentral distance about 130 km
from the Paratunka base station)
Grain-structure development in heavily cold-rolled alpha-titanium
High-resolution electron back-scatter diffraction (EBSD) analysis was employed to establish mircostructure evolution in heavily cold-rolled alpha-titanium. After thickness reductions of 75% to 96%, significant microstructure and texture changes were documented. The surface area of high-angle grain boundaries was almost tripled, thus giving rise to an ultra-fine microstructure with a mean grain size of 0.6 ΞΌm. Moreover, orientation spread around typical βsplit-basalβ rolling texture substantially increased. These effects were suggested to be related to the enhancement of pyramidal γc+aγ slip. Grain-structure development in heavily cold-rolled alpha-titanium (PDF Download Available
Three very young HgMn stars in the Orion OB1 Association
We report the detection of three mercury-manganese stars in the Orion OB1
association. HD 37886 and BD-0 984 are in the approximately 1.7 million year
old Orion OB1b. HD 37492 is in the approximately 4.6 million year old Orion
OB1c. Orion OB1b is now the youngest cluster with known HgMn star members. This
places an observational upper limit on the time scale needed to produce the
chemical peculiarities seen in mercury-manganese stars, which should help in
the search for the cause or causes of the peculiar abundances in HgMn and other
chemically peculiar upper main sequence stars.Comment: 8 pages including 1 figure. To appear in Astrophysical Journal
Letter
Unmanned aerial vehicles: potential for use in the storage systems of industrial companies
In the article, the authors investigate the problem of using unmanned aerial vehicles (drones) in company warehouses and consider their use as one of the ways to optimize the logistics business processes of companies. Technologies are considered, on the basis of which modern unmanned aerial vehicles, drone models of various companies, the main functionality of droneβs work. The authors high-light the strengths and weaknesses of unmanned aerial vehicles, key factors determining the success of the use of drones, and favorable conditions for their use in warehouses. The authors are considering the possibility of sharing drones and RFID technology. Barriers to the active introduction of drones into the logistics business processes of warehousing systems and requirements for warehouse complexes planning the use of unmanned aerial objects have been identified. Promising areas of application of technology in warehouse logistics are also considered: creation of anti-theft and fire protection systems, using drones to read CIS marks. The authors used data from analytical reports and data collected by the authors themselves, as well as empirical research methods
Effect of Choline Forms and Gut Microbiota Composition on Trimethylamine-N-Oxide Response in Healthy Men
Background: Trimethylamine-N-oxide (TMAO), a choline-derived gut microbiota-dependent metabolite, is a newly recognized risk marker for cardiovascular disease. We sought to determine: (1) TMAO response to meals containing free versus lipid-soluble choline and (2) effects of gut microbiome on TMAO response. Methods: In a randomized, controlled, double-blinded, crossover study, healthy men (n = 37) were provided meals containing 600 mg choline either as choline bitartrate or phosphatidylcholine, or no choline control. Results: Choline bitartrate yielded three-times greater plasma TMAO AUC (p = 0.01) and 2.5-times greater urinary TMAO change from baseline (p = 0.01) compared to no choline and phosphatidylcholine. Gut microbiota composition differed (permutational multivariate analysis of variance, PERMANOVA; p = 0.01) between high-TMAO producers (with β₯40% increase in urinary TMAO response to choline bitartrate) and low-TMAO producers (with \u3c40% increase in TMAO response). High-TMAO producers had more abundant lineages of Clostridium from Ruminococcaceae and Lachnospiraceae compared to low-TMAO producers (analysis of composition of microbiomes, ANCOM; p \u3c 0.05). Conclusion: Given that phosphatidylcholine is the major form of choline in food, the absence of TMAO elevation with phosphatidylcholine counters arguments that phosphatidylcholine should be avoided due to TMAO-producing characteristics. Further, development of individualized dietary recommendations based on the gut microbiome may be effective in reducing disease risk
The use of the Cobb-Douglas function in the information support of state planning
The purpose of the study of this article is to test the hypothesis of the expediency of using the Cobb-Douglas function in the information support of state planning as a method of numerical analysis in the regional department of public administratio
Clinical case of de novo anaplastic ganglioglioma and current status of the problem
The authors report a rare case of de novo malignant ganglioglioma (WHO grade III) in a 26-year old female. The patient has complained of periodic
feeling fear, anxiety, episodes of impaired consciousness with extremity muscle cramps sometimes followed by urination, as well as flashes before eyes.
Computed tomography perfusion and magnetic resonance spectroscopy were carried out for differential diagnosis between different types of tumors.
Stereotactic biopsy was performed for histological examination. High surgical risk became a contraindication to gross total resection of the tumor. The
patient has received radiation therapy (Trilogy linear accelerator) in a total dose of 60 Gy. The tumor shrank significantly. In 7 months, monitoring
MRT did not detect further growth of the tumor. The authors have analyzed the case and reviewed the existing literature data regarding gangliogliomas.
Taking into account low prevalence of these tumors (0.4-1% of all brain tumors), especially of their malignant forms (3-10% of gangliogliomas), lack of
sufficient data regarding prognostic factors, life expectancy, time of recurrence, lack of accurate indications for different methods of treatment (surgery,
radiation, chemotherapy), these tumors still need further research that should also involve supplementary neuroimaging techniques and stereotactic biopsy
ΠΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΈ: ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎ-Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠΈΡΡΠ΅ΠΌΠ° Β«ΠΡΠΎΠ΄Π²ΠΈΠΆΠ΅Π½ΠΈΠ΅ ΡΠΎΠ²Π°ΡΠΎΠ² Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ Π’Π°ΡΠ°ΡΡΡΠ°Π½ Π½Π° Π²Π½Π΅ΡΠ½ΠΈΠ΅ ΡΡΠ½ΠΊΠΈΒ»
The article outlines economic fundamentals, statistical and methodological framework and technical capabilities of the implemented information-analytical system Β«Promotion of goods of the Republic of Tatarstan in foreign marketsΒ». The authors introduce analytical tools to investigate the nature of trade relations between the regions of Russia, CIS and foreign countries, identify trends in the development of relations and suggest possible options for the development of trade. The information-analytical system is intended for use by the executive authorities of the Republic of Tatarstan and other regions of the Russian Federation. Goods produced by manufacturers of the Republic of Tatarstan, including food and non-food products, are subject to the monitoring. The foundation for the system is information base generated within the framework of the federal, departmental and customs statistics, as well as during implementation of the intergovernmental agreements of the Republic of Tatarstan. Analytical tools are designed according to availability of information on the import and export of goods, production volume and dynamics, market prices and producer prices, etc. The system provides the possibility of component-wise analysis, the selection of product groups, indicators, territories and periods. Data on the level of utilization of production capacities is used during the analysis, which allows predicting the possibility of production expanding in the case of increasing demand for the product or determining new markets. Information-analytical system allows creating dynamic information boards that contain interactive graphs and charts, gives the opportunity to visualize the data on production and sales of goods in order to identify the prospects of introducing the goods produced by manufacturers of the Republic of Tatarstan in regional and international markets. The system has a friendly interface, provides visualization of output and intermediate data, automated updating, operational interactive mode, extensible user state.Π ΡΡΠ°ΡΡΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΡΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΎ-ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΡΠ½ΠΎΠ²Ρ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ Π²Π½Π΅Π΄ΡΡΠ΅ΠΌΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎ-Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Β«ΠΡΠΎΠ΄Π²ΠΈΠΆΠ΅Π½ΠΈΠ΅ ΡΠΎΠ²Π°ΡΠΎΠ² Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ Π’Π°ΡΠ°ΡΡΡΠ°Π½ Π½Π° Π²Π½Π΅ΡΠ½ΠΈΠ΅ ΡΡΠ½ΠΊΠΈΒ». ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΡ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅Ρ ΡΠΎΡΠ³ΠΎΠ²ΡΡ
ΡΠ²ΡΠ·Π΅ΠΉ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠ΅Π³ΠΈΠΎΠ½Π°ΠΌΠΈ Π ΠΎΡΡΠΈΠΈ, ΡΡΡΠ°Π½Π°ΠΌΠΈ Π‘ΠΠ ΠΈ Π΄Π°Π»ΡΠ½Π΅Π³ΠΎ Π·Π°ΡΡΠ±Π΅ΠΆΡΡ, ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΉ ΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΠ΅ Π²Π°ΡΠΈΠ°Π½ΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΎΡΠ³ΠΎΠ²Π»ΠΈ. Π‘ΠΈΡΡΠ΅ΠΌΠ° ΠΏΡΠ΅Π΄Π½Π°Π·Π½Π°ΡΠ΅Π½Π° Π΄Π»Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΎΡΠ³Π°Π½Π°ΠΌΠΈ ΠΈΡΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ Π²Π»Π°ΡΡΠΈ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ Π’Π°ΡΠ°ΡΡΡΠ°Π½ ΠΈ Π΄ΡΡΠ³ΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ. ΠΠ±ΡΠ΅ΠΊΡΠΎΠΌ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΡ ΡΠ°ΡΠ°ΡΡΡΠ°Π½ΡΠΊΠΈΡ
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΠΏΡΠΎΠ΄ΠΎΠ²ΠΎΠ»ΡΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΈ Π½Π΅ΠΏΡΠΎΠ΄ΠΎΠ²ΠΎΠ»ΡΡΡΠ²Π΅Π½Π½ΡΠ΅ ΡΠΎΠ²Π°ΡΡ. Π Π°Π±ΠΎΡΠ° Π‘ΠΈΡΡΠ΅ΠΌΡ ΠΎΡΠ½ΠΎΠ²Π°Π½Π° Π½Π° ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Π±Π°Π·Π΅, ΡΠΎΡΠΌΠΈΡΡΠ΅ΠΌΠΎΠΉ ΠΊΠ°ΠΊ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΉ, Π²Π΅Π΄ΠΎΠΌΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΈ ΡΠ°ΠΌΠΎΠΆΠ΅Π½Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ, ΡΠ°ΠΊ ΠΈ Π² Ρ
ΠΎΠ΄Π΅ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΌΠ΅ΠΆΠΏΡΠ°Π²ΠΈΡΠ΅Π»ΡΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠΎΠ³Π»Π°ΡΠ΅Π½ΠΈΠΉ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ Π’Π°ΡΠ°ΡΡΡΠ°Π½. ΠΠ½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΠΈΠΉ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½ Ρ ΡΡΠ΅ΡΠΎΠΌ Π½Π°Π»ΠΈΡΠΈΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΎ Π²Π²ΠΎΠ·Π΅ ΠΈ Π²ΡΠ²ΠΎΠ·Π΅ ΡΠΎΠ²Π°ΡΠΎΠ², ΠΈΠΌΠΏΠΎΡΡΠ΅ ΠΈ ΡΠΊΡΠΏΠΎΡΡΠ΅ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΈ, ΠΎΠ±ΡΠ΅ΠΌΠ°Ρ
ΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π°, ΡΡΠ½ΠΎΡΠ½ΡΡ
ΡΠ΅Π½Π°Ρ
ΠΈ ΡΠ΅Π½Π°Ρ
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ ΠΈ Ρ. Π΄. Π‘ΠΈΡΡΠ΅ΠΌΠ° ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»ΡΠ΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΏΠΎΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°, Π²ΡΠ±ΠΎΡΠ° ΡΠΎΠ²Π°ΡΠ½ΡΡ
Π³ΡΡΠΏΠΏ, ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ, ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ, ΠΏΠ΅ΡΠΈΠΎΠ΄ΠΎΠ². ΠΡΠΈ Π°Π½Π°Π»ΠΈΠ·Π΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡΡΡΡ ΡΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΎΠ± ΡΡΠΎΠ²Π½Π΅ Π·Π°Π³ΡΡΠ·ΠΊΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΌΠΎΡΠ½ΠΎΡΡΠ΅ΠΉ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΠ΅ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°ΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΡΠ°ΡΡΠΈΡΠ΅Π½ΠΈΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° Π² ΡΠ»ΡΡΠ°Π΅ Π²ΠΎΠ·ΡΠ°ΡΡΠ°Π½ΠΈΡ ΡΠΏΡΠΎΡΠ° Π½Π° ΡΠΎΠ²Π°Ρ ΠΈΠ»ΠΈ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ Π½ΠΎΠ²ΡΡ
ΡΡΠ½ΠΊΠΎΠ² ΡΠ±ΡΡΠ°. ΠΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎ-Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠΈΡΡΠ΅ΠΌΠ° ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°ΡΡ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΠΏΠ°Π½Π΅Π»ΠΈ, ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠΈΠ΅ ΠΈΠ½ΡΠ΅ΡΠ°ΠΊΡΠΈΠ²Π½ΡΠ΅ Π³ΡΠ°ΡΠΈΠΊΠΈ ΠΈ Π΄ΠΈΠ°Π³ΡΠ°ΠΌΠΌΡ; Π΄Π°Π΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ Π΄Π°Π½Π½ΡΠ΅ ΠΎ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅ ΠΈ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΈ Π² ΡΠ΅Π»ΡΡ
Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ² ΠΏΡΠΎΠ΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΈ ΡΠ°ΡΠ°ΡΡΡΠ°Π½ΡΠΊΠΈΡ
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ Π½Π° ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΠΈ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΠ΅ ΡΡΠ½ΠΊΠΈ. Π‘ΠΈΡΡΠ΅ΠΌΠ° ΠΈΠΌΠ΅Π΅Ρ ΠΏΠΎΠ½ΡΡΠ½ΡΠΉ ΠΈΠ½ΡΠ΅ΡΡΠ΅ΠΉΡ, ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅Ρ Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ Π²ΡΡ
ΠΎΠ΄Π½ΡΡ
ΠΈ ΠΏΡΠΎΠΌΠ΅ΠΆΡΡΠΎΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
, Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ Π°ΠΊΡΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ, Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΡΠ°Π±ΠΎΡΡ Π² ΠΈΠ½ΡΠ΅ΡΠ°ΠΊΡΠΈΠ²Π½ΠΎΠΌ ΡΠ΅ΠΆΠΈΠΌΠ΅, ΡΠ°ΡΡΠΈΡΠ΅Π½ΠΈΠ΅ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»ΡΡΠΊΠΎΠΉ ΡΡΠ΅Π΄Ρ
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