23 research outputs found
The Sundrun population of wild reindeer
The Sundrun wild reindeer (Rangifer tarandus) herd was recognized as a separate population during the 1950s. Since then, the herd has ranged over an area of approximately 180 000 km2 between the Indigirka and Kolyma Rivers in northeastern Yakutia. Population dynamics and movements were investigated between 1987 and 1997. During this period, the population estimates ranged from 25 000 to 45 000 reindeer, the sex ratio averaged 55 bulls:100 cows, and the percentage of calves in the herd ranged between 17% and 25%. The main routes of seasonal migrations, wintering areas, and the location of calving areas are discussed
Case of successful surgical correction of combined mitral defect and chronic atrial fibrillation at the elderly patient
<p><font><font>Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΡΡΠΏΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΠ»ΡΡΠ°Π΅ ΠΏΡΠΎΡΠ΅Π΄ΡΡΡ cryomaze Π² ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠΈ Ρ ΠΏΡΠΎΡΠ΅Π·ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΌΠΈΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ»Π°ΠΏΠ°Π½Π° ΠΈ ΡΡΠ΅Ρ
ΡΡΠ²ΠΎΡΡΠ°ΡΠΎΠ³ΠΎ Π°Π½Π½ΡΠ»ΠΎΠΏΠ»Π°ΡΡΠΈΠΊΠΈ Π½Π° ΠΏΠΎΠΆΠΈΠ»ΠΎΠ³ΠΎ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ° 71 Π»Π΅Ρ. </font><font>Π‘Π»Π΅Π΄ΡΡΡΠΈΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ»ΡΡΠ°Ρ ΡΠ»Π΅Π΄ΡΠ΅Ρ ΠΎΡΠΌΠ΅ΡΠΈΡΡ: Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΈΠ±ΡΠΈΠ»Π»ΡΡΠΈΠΈ ΠΏΡΠ΅Π΄ΡΠ΅ΡΠ΄ΠΈΠΉ Π² ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ 20 Π»Π΅Ρ, ΠΎΠ³ΡΠΎΠΌΠ½ΡΠΉ Π»Π΅Π²ΠΎΠ΅ ΠΏΡΠ΅Π΄ΡΠ΅ΡΠ΄ΠΈΠ΅ ΠΈΠ· 348 ΠΌΠ». </font><font>ΠΠ°ΠΊ ΠΈΠ·Π²Π΅ΡΡΠ½ΠΎ ΠΈΠ· Π°Π½Π°ΠΌΠ½Π΅Π·Π°, ΠΊΠΎΡΠΎΡΡΠΉ Π·Π°ΠΊΡΡΠ»ΡΡ ΠΌΠΈΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΈΡΡΡΡΠΎΡΠΎΠΌΠΈΡ Π±ΡΠ»ΠΎ ΡΠ΄Π΅Π»Π°Π½ΠΎ 39 Π»Π΅Ρ Π½Π°Π·Π°Π΄. </font><font>ΠΡΠΎ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠ»ΡΡΠ°ΠΉ Π΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΡΠ΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΡΡΠΏΠ΅ΡΠ½ΠΎΠΉ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠΈ ΡΠ»ΠΎΠΆΠ½ΡΡ
ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΉ ΡΠ΅ΡΠ΄ΡΠ° Π΄Π°ΠΆΠ΅ Π² ΠΏΠΎΠΆΠΈΠ»ΠΎΠΌ Π²ΠΎΠ·ΡΠ°ΡΡΠ΅. </font><font>ΠΡΠΎΠΌΠ΅ ΡΠΎΠ³ΠΎ, ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° Ρ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠΈ Π΄ΠΈΡΡΡΠ½ΠΊΡΠΈΠΈ ΠΌΠΈΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ»Π°ΠΏΠ°Π½Π° Π² ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠΈ Ρ ΠΌΠ΅ΡΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠΉ Π°ΡΠΈΡΠΌΠΈΠ΅ΠΉ ΠΏΡΠ΅Π΄ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅Ρ ΠΎΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΡΡΡΡΠ°Π½Π΅Π½ΠΈΠ΅ Π°ΡΠΈΡΠΌΠΈΠΈ. </font><font>Π’ΡΠ°ΡΠ΅Π»ΡΠ½ΡΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ° ΠΈ Π²ΡΠ±ΠΎΡ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Ρ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ²Π° ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎ-ΡΠΎΡΡΠ΄ΠΈΡΡΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π΄ΠΎΡΡΠΈΡΡ Ρ
ΠΎΡΠΎΡΠΈΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² Π΄Π°ΠΆΠ΅ Ρ ΠΏΠΎΠΆΠΈΠ»ΡΡ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ².</font></font></p
Method for direct identification of optimum modal values of dynamical systems
The synthesis method of a dynamic system by successive solutions of two systems of algebraic equations, variables that are characteristic polynomial coefficients and mechanical parameters of the system
Investigation of Stress-Strain State of the Workpiece at Gauge Burnishing of its Holes
Papers deal with the application of finite-element method (FEM) when investigating the stress-strain state of the workpiece exposed to the gauge burnishing under the conditions of nonzero friction is considered. The burnishing interference (workpiece deformation degree) is the most important factor influencing the strengthening depth. The mathematical model of the workpiece surface-plastic deformation during burnishing, algorithm and computational results of stresses and deformations are given
Priority oil and gas exploration facilities in the north-east of the Predpatomsky trough
The article discusses the geological structure and prospects of oil and gas potential of the north-eastern part of the Predpatomsky regional trough. The features of the ratio of the structural plans of the upper and lower parts of the geological section due to thrust dislocations are indicated. It is assumed that deep drilling in the area of the Ulugur structure has not reached the target productive horizons in the autochthonous part of the section. Here, after clarifying the scope of seismic work, it is proposed to lay a exploratory well of greater depth. As another priority object for oil and gas, a potential zone of wedging of terrigenous deposits of the Vendian on the southwestern slope of the Suntar uplift is designated. The high prospects of the gas content of the upper part of the section, where gas deposits were established in newly discovered fields, were also noted. The results of direct geochemical testing of the Ulugur and Ergedzheysky license areas are presented, which allow localizing promising zones and areas of the studied territory
Brief communication: Alternation of thaw zones and deep permafrost in the cold climate conditions of the East Siberian Mountains, Suntar-Khayata Range
The Suntar-Khayata Range includes numerous natural phenomena interacting with or depending on permafrost conditions. Here, we examine some patterns of deep permafrost and talik zones on adjacent sites. A 210βm deep borehole in siltstone bedrock was equipped for the temperature monitoring of the topmost 15βm and measurements of a deep permafrost temperature profile in JulyΒ 2010. The temperature curvature in the upper part has a bend, which is consistent with the upper portion justified by climate warming, and shows a steady-state linear geothermal profile below 85βm depth with a high geothermal heat flux. A shallow borehole situated at the river floodplain was used to investigate the thaw zone's temperature regime. The temperatures down to 6.7βm deep have been monitored at 5βmin intervals during heavy rainfall, and the temperature readings have behaved quite peculiarly. The thickness of the seasonal freezing layer reaches 5.7βm; moreover the ground temperature increases to 6ββC at 6.7βm depth by groundwater heat transfer. This study provides some new insights into the permafrost condition at one of the coldest places in the Northern Hemisphere.</p
Π§ΠΈΡΠ»Π΅Π½Π½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π½Π°ΠΏΡΡΠΆΠ΅Π½Π½ΠΎ-Π΄Π΅ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ Π·Π°Π³ΠΎΡΠΎΠ²ΠΊΠΈ Π² ΠΊΠΎΠ½ΡΠ°ΠΊΡΠ½ΠΎΠΉ Π·Π°Π΄Π°ΡΠ΅ ΠΏΠΎΠ²Π΅ΡΡ Π½ΠΎΡΡΠ½ΠΎΠ³ΠΎ Π΄ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΡ ΠΎΡΠ²Π΅ΡΡΡΠΈΠΉ
In recent years, the economic factor has played an increasingly important role in the selection of technologies for manufacturing machine parts with specified values of normalized parameters of geometric accuracy and quality of working surfaces. As applied to surface plastic deformation processes, this is noticeably manifested in the search for effective friction control methods in the βtoolΒ βΒ workpieceβ pair, which ultimately determines the distribution pattern and the magnitude of stresses and strains in the workpiece and the tool. It is not possible to obtain a rigorous analytical solution to the problem of establishing a connection between surface conditions, friction, and the stress-strain state of the contacted bodies. In this regard, the construction of mathematical models comes to the fore, the solution of which is possible by numerical methods. The paper presents the results of a numerical study (computational experiment) of a finite-element model of workpiece deformation under various conditions of contact interaction and friction by one of the methods of surface plastic deformation β surface mandrel drilling. The friction coefficient has been chosen as the criterion for assessing the conditions of contact interaction and friction. It is shown that a change in the friction coefficient in the process of surface mandrel has no noticeable effect on the formation of a stress field in the deformable workpiece both in the axial, and in the radial and circumferential directions. At the same time, with an increase in the value of the friction coefficient in the βtoolΒ βΒ workpieceβ pair and with the associated increase in the force of mechanical resistance to deformation of the workpiece, their growth is observed. A computational experiment has confirmed the presence of non-contact deformations of the workpiece and tool during surface mandrel drilling, as well as Β as a decrease in the value of residual deformations in the workpiece with a decrease in the coefficient of friction. Balance assessment of contact surface displacements in the workpiece (the inner surface of the hole to be machined) and the tool (mandrel) has shown that the deformations of the tool in the elastic region can lead to a significant decrease in the real tightness of surface mandrel drilling.Π ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π³ΠΎΠ΄Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠ°ΠΊΡΠΎΡ ΠΈΠ³ΡΠ°Π΅Ρ Π²ΡΠ΅ Π±ΠΎΠ»Π΅Π΅ Π²Π°ΠΆΠ½ΡΡ ΡΠΎΠ»Ρ ΠΏΡΠΈ Π²ΡΠ±ΠΎΡΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΈΠ·Π³ΠΎΡΠΎΠ²Π»Π΅Π½ΠΈΡ Π΄Π΅ΡΠ°Π»Π΅ΠΉ ΠΌΠ°ΡΠΈΠ½ Ρ Π·Π°Π΄Π°Π½Π½ΡΠΌΠΈ Π·Π½Π°ΡΠ΅Π½ΠΈΡΠΌΠΈ Π½ΠΎΡΠΌΠΈΡΡΠ΅ΠΌΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΠ°Π±ΠΎΡΠΈΡ
ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ΅ΠΉ. ΠΡΠΈΠΌΠ΅Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΊ ΠΏΡΠΎΡΠ΅ΡΡΠ°ΠΌ ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ½ΠΎΠ³ΠΎ ΠΏΠ»Π°ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π΄Π΅ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΡΠΎ ΠΏΡΠΎΡΠ²Π»ΡΠ΅ΡΡΡ Π² ΠΏΠΎΠΈΡΠΊΠ΅ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡ
ΠΏΡΠΈΠ΅ΠΌΠΎΠ² ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΡΠ΅Π½ΠΈΠ΅ΠΌ Π² ΠΏΠ°ΡΠ΅ Β«ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΒ βΒ Π·Π°Π³ΠΎΡΠΎΠ²ΠΊΠ°Β», ΠΊΠΎΡΠΎΡΠΎΠ΅, Π² ΠΊΠΎΠ½Π΅ΡΠ½ΠΎΠΌ ΠΈΡΠΎΠ³Π΅, ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ΅Ρ ΠΊΠ°ΡΡΠΈΠ½Ρ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΈ Π²Π΅Π»ΠΈΡΠΈΠ½Ρ Π½Π°ΠΏΡΡΠΆΠ΅Π½ΠΈΠΉ ΠΈ Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΠΉ Π² Π·Π°Π³ΠΎΡΠΎΠ²ΠΊΠ΅ ΠΈ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ΅. ΠΠΎΠ»ΡΡΠΈΡΡ ΡΡΡΠΎΠ³ΠΎΠ΅ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π·Π°Π΄Π°ΡΠΈ ΠΏΠΎ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΡ ΡΠ²ΡΠ·ΠΈ ΠΌΠ΅ΠΆΠ΄Ρ ΡΡΠ»ΠΎΠ²ΠΈΡΠΌΠΈ Π½Π° ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠΈ, ΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΈ Π½Π°ΠΏΡΡΠΆΠ΅Π½Π½ΠΎ-Π΄Π΅ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ΠΌ ΠΊΠΎΠ½ΡΠ°ΠΊΡΠΈΡΡΠ΅ΠΌΡΡ
ΡΠ΅Π» Π½Π΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅ΡΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΠΌ. Π ΡΡΠΎΠΉ ΡΠ²ΡΠ·ΠΈ Π½Π° ΠΏΠ΅ΡΠ΅Π΄Π½ΠΈΠΉ ΠΏΠ»Π°Π½ Π²ΡΡ
ΠΎΠ΄ΠΈΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ, ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΊΠΎΡΠΎΡΡΡ
Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ ΡΠΈΡΠ»Π΅Π½Π½ΡΠΌΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ. Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ (Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°) ΠΊΠΎΠ½Π΅ΡΠ½ΠΎ-ΡΠ»Π΅ΠΌΠ΅Π½ΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π΄Π΅ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π·Π°Π³ΠΎΡΠΎΠ²ΠΊΠΈ Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΊΠΎΠ½ΡΠ°ΠΊΡΠ½ΠΎΠ³ΠΎ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΈ ΡΡΠ΅Π½ΠΈΡ ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ½ΠΎΠ³ΠΎ ΠΏΠ»Π°ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π΄Π΅ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ β ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ½ΡΠΌ Π΄ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΎΡΠ²Π΅ΡΡΡΠΈΠΉ. ΠΡΠΈΡΠ΅ΡΠΈΠ΅ΠΌ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΠΊΠΎΠ½ΡΠ°ΠΊΡΠ½ΠΎΠ³ΠΎ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΈ ΡΡΠ΅Π½ΠΈΡ Π²ΡΠ±ΡΠ°Π½ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½Ρ ΡΡΠ΅Π½ΠΈΡ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠ° ΡΡΠ΅Π½ΠΈΡ Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ½ΠΎΠ³ΠΎ Π΄ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΡ Π½Π΅ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ Π·Π°ΠΌΠ΅ΡΠ½ΠΎΠ³ΠΎ Π²Π»ΠΈΡΠ½ΠΈΡ Π½Π° ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΠ»Ρ Π½Π°ΠΏΡΡΠΆΠ΅Π½ΠΈΠΉ Π² Π΄Π΅ΡΠΎΡΠΌΠΈΡΡΠ΅ΠΌΠΎΠΉ Π·Π°Π³ΠΎΡΠΎΠ²ΠΊΠ΅ ΠΊΠ°ΠΊ Π² ΠΎΡΠ΅Π²ΠΎΠΌ, ΡΠ°ΠΊ ΠΈ Π² ΡΠ°Π΄ΠΈΠ°Π»ΡΠ½ΠΎΠΌ ΠΈ ΠΎΠΊΡΡΠΆΠ½ΠΎΠΌ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡΡ
. ΠΠΌΠ΅ΡΡΠ΅ Ρ ΡΠ΅ΠΌ ΠΏΡΠΈ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠΈ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠ° ΡΡΠ΅Π½ΠΈΡ Π² ΠΏΠ°ΡΠ΅ Β«ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΒ βΒ Π·Π°Π³ΠΎΡΠΎΠ²ΠΊΠ°Β» ΠΈ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ ΡΠΈΠ»Ρ ΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΠΏΡΠΎΡΠΈΠ²Π»Π΅Π½ΠΈΡ Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π·Π°Π³ΠΎΡΠΎΠ²ΠΊΠΈ Π½Π°Π±Π»ΡΠ΄Π°Π΅ΡΡΡ ΠΈΡ
ΡΠΎΡΡ. ΠΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΠΌ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠΎΠΌ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½ΠΎ Π½Π°Π»ΠΈΡΠΈΠ΅ Π²Π½Π΅ΠΊΠΎΠ½ΡΠ°ΠΊΡΠ½ΡΡ
Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΠΉ Π·Π°Π³ΠΎΡΠΎΠ²ΠΊΠΈ ΠΈ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ° ΠΏΡΠΈ ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ½ΠΎΠΌ Π΄ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ Π²Π΅Π»ΠΈΡΠΈΠ½Ρ ΠΎΡΡΠ°ΡΠΎΡΠ½ΡΡ
Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΠΉ Π² Π·Π°Π³ΠΎΡΠΎΠ²ΠΊΠ΅ Ρ ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠ° ΡΡΠ΅Π½ΠΈΡ. ΠΡΠ΅Π½ΠΊΠ° Π±Π°Π»Π°Π½ΡΠ° ΠΏΠ΅ΡΠ΅ΠΌΠ΅ΡΠ΅Π½ΠΈΠΉ ΠΊΠΎΠ½ΡΠ°ΠΊΡΠ½ΡΡ
ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ΅ΠΉ Π·Π°Π³ΠΎΡΠΎΠ²ΠΊΠΈ (Π²Π½ΡΡΡΠ΅Π½Π½ΡΡ ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΡ ΠΎΠ±ΡΠ°Π±Π°ΡΡΠ²Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΎΡΠ²Π΅ΡΡΡΠΈΡ) ΠΈ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ° ΠΏΠΎΠΊΠ°Π·Π°Π»Π°, ΡΡΠΎ Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ° Π² ΡΠΏΡΡΠ³ΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ ΠΌΠΎΠ³ΡΡ ΠΏΡΠΈΠ²Π΅ΡΡΠΈ ΠΊ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΌΡ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ Π½Π°ΡΡΠ³Π° ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ½ΠΎΠ³ΠΎ Π΄ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΡ ΠΎΡΠ²Π΅ΡΡΡΠΈΠΉ.
Approaches to the development of online learning In the digital environment of higher education in Yakutia
The authors justified the idea of developing online courses based on the use of Moodle tools, allowing the formation of knowledge in the field of technological and methodological skills and abilities to use educational applications, services, and their application in professional activities in the implementation of online learning in the digital environment of the university.Β Assessment of the effectiveness of the online course is confirmed by the solution of professional tasks from the knowledge of the digital educational environment with interdisciplinary content and tasks requiring the use of e-learning tools. Analysis of the results using two-way analysis of variance revealed a significant effect of factors on the effective feature using the F-test. The significance of the study lies in the development of online advanced training courses aimed at improving the technological level of teachers and educators of the Republic of Sakha (Yakutia) in the implementation of the remote format of training using online distance learning tools and technologies.
INCREASE OF STRENGTH OF WELDED JOINTS IN LOW-ALLOY STEELS WITH REGARD TO KINETICS OF SLOWED-DOWN FAILURE
There the influence of kinetics of slowed-down failure on the strength of welded joints in the steels of 14Kh2GMR class has been brought out. The criterion, which incorporates the comprehensive account of manufacturing factors and the use of disinctions of acoutic emission, has been developed. The engineering procedure to estimate the strength of welded joints with regard to the kinetics of slowed-down failure has been offered. The process of erection and repair welding for the welded metalworks operating under the North conditions has been developed. The recommendations for the welding process of metalworks and machines, the Instructions for Repair Welding have been introduced. The introduction efficiency is the rise of strength of welded constructions 1,5 times owing to the developed processAvailable from VNTIC / VNTIC - Scientific & Technical Information Centre of RussiaSIGLERURussian Federatio
The Sundrun population of wild reindeer
The Sundrun wild reindeer (Rangifer tarandus) herd was recognized as a separate population during the 1950s. Since then, the herd has ranged over an area of approximately 180 000 km2 between the Indigirka and Kolyma Rivers in northeastern Yakutia. Population dynamics and movements were investigated between 1987 and 1997. During this period, the population estimates ranged from 25 000 to 45 000 reindeer, the sex ratio averaged 55 bulls:100 cows, and the percentage of calves in the herd ranged between 17% and 25%. The main routes of seasonal migrations, wintering areas, and the location of calving areas are discussed