2,249 research outputs found
A randomised controlled trial of PEGASUS, a psychoeducational programme for young people with high-functioning autism spectrum disorder.
Psychoeducation is an essential component of postdiagnostic care for people with ASD (autism spectrum disorder), but there is currently no evidence base for clinical practice. We designed, manualised and evaluated PEGASUS (psychoeducation group for autism spectrum understanding and support), a group psychoeducational programme aiming to enhance the self-awareness of young people with ASD by teaching them about their diagnosis
Π ΠΏΠΎΡΡΠ΄ΠΊΠ΅ ΡΠΎΡΡΠ° ΡΠΈΡΠ»Π° ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡ ΠΈ ΡΠ²Π΅ΡΡ ΡΠ°ΡΡΡΡΠΈΡ ΡΡΠΊΠ·Π°ΡΠ½ΡΡ Π²Π΅ΠΊΡΠΎΡΠΎΠ²
In 1978 R. Mercle and M. Hellman offered to use the subset sum problem for constructing cryptographic systems. The proposed cryptosystems were based on a class of the knapsacks with super-increasing vectors. This class is a subset of the set of knapsacks with injective (cryptographic) vectors that allow the single-valued decoding (decryption) result. In this paper we consider the problems related to the order in the growth of the injective vectors knapsacks quantity and to the order in the growth of knapsacks quantity with the super-increasing vectors through the knapsack maximal element increasing.Π 1978 Π³ΠΎΠ΄Ρ Π . ΠΠ΅ΡΠΊΠ»Ρ ΠΈ Π. Π₯Π΅Π»Π»ΠΌΠ°Π½ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠΈΠ»ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ Π΄Π»Ρ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΊΡΠΈΠΏΡΠΎΡΠΈΡΡΠ΅ΠΌ ΠΎΠ΄Π½ΠΎΠΌΠ΅ΡΠ½ΡΡ Π°Π΄Π΄ΠΈΡΠΈΠ²Π½ΡΡ Π·Π°Π΄Π°ΡΡ ΠΎΠ± ΡΠΊΠ»Π°Π΄ΠΊΠ΅ ΡΡΠΊΠ·Π°ΠΊΠ°. Π ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠΉ ΠΊΡΠΈΠΏΡΠΎΡΠΈΡΡΠ΅ΠΌΡ Π»Π΅ΠΆΠ°Π» ΠΊΠ»Π°ΡΡ ΡΡΠΊΠ·Π°ΠΊΠΎΠ², ΠΎΠ±Π»Π°Π΄Π°ΡΡΠΈΡ
ΡΠ²Π΅ΡΡ
ΡΠ°ΡΡΡΡΠΈΠΌΠΈ Π²Π΅ΠΊΡΠΎΡΠ°ΠΌΠΈ. Π£ΠΊΠ°Π·Π°Π½Π½ΡΠΉ ΠΊΠ»Π°ΡΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΠΎΠ΄ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²ΠΎΠΌ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π° ΡΡΠΊΠ·Π°ΠΊΠΎΠ² Ρ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌΠΈ (ΠΊΡΠΈΠΏΡΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ) Π²Π΅ΠΊΡΠΎΡΠ°ΠΌΠΈ, Π΄ΠΎΠΏΡΡΠΊΠ°ΡΡΠΈΡ
ΠΎΠ΄Π½ΠΎΠ·Π½Π°ΡΠ½ΠΎΠ΅ Π΄Π΅ΠΊΠΎΠ΄ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ (Π΄Π΅ΡΠΈΡΡΠΎΠ²Π°Π½ΠΈΠ΅). Π Π½Π°ΡΡΠΎΡΡΠ΅ΠΉ ΡΠ°Π±ΠΎΡΠ΅ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π²ΠΎΠΏΡΠΎΡΡ ΠΎ ΠΏΠΎΡΡΠ΄ΠΊΠ΅ ΡΠΎΡΡΠ° ΡΠΈΡΠ»Π° ΡΡΠΊΠ·Π°ΠΊΠΎΠ² Ρ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌΠΈ Π²Π΅ΠΊΡΠΎΡΠ°ΠΌΠΈ ΠΈ ΠΎ ΠΏΠΎΡΡΠ΄ΠΊΠ΅ ΡΠΎΡΡΠ° ΡΠΈΡΠ»Π° ΡΡΠΊΠ·Π°ΠΊΠΎΠ² ΡΠΎ ΡΠ²Π΅ΡΡ
ΡΠ°ΡΡΡΡΠΈΠΌΠΈ Π²Π΅ΠΊΡΠΎΡΠ°ΠΌΠΈ ΠΏΡΠΈ ΡΠΎΡΡΠ΅ ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠ° ΡΡΠΊΠ·Π°ΠΊΠ°
CO\u3ci\u3e2\u3c/i\u3e Fixation Kinetics of \u3ci\u3eHalothiobacillus neapolitanus\u3c/i\u3e Mutant Carboxysomes Lacking Carbonic Anhydrase Suggest the Shell Acts as a Diffusional Barrier for CO\u3csub\u3e2\u3c/sub\u3e
The widely accepted models for the role of carboxysomes in the carbon-concentrating mechanism of autotrophic bacteria predict the carboxysomal carbonic anhydrase to be a crucial component. The enzyme is thought to dehydrate abundant cytosolic bicarbonate and provide ribulose 1.5-bisphosphate carboxylase/oxygenase (RubisCO) sequestered within the carboxysome with sufficiently high concentrations of its substrate, CO2, to permit its efficient fixation onto ribulose 1,5-bisphosphate. In this study, structure and function of carboxysomes purified from wild type Halothiobacillus neapolitanus and from a high CO2-requiring mutant that is devoid of carboxysomal carbonic anhydrase were compared. The kinetic constants for the carbon fixation reaction confirmed the importance of a functional carboxysomal carbonic anhydrase for efficient catalysis by RubisCO. Furthermore, comparisons of the reaction in intact and broken microcompartments and by purified carboxysomal RubisCO implicated the protein shell of the microcompartment as impeding diffusion of CO2 into and out of the carboxysome interior
First mock-up of the CBM STS module based on a new assembly concept
A molecular dynamics model has been developed to investigate the effect of the crystallographic orientation on the material deformation behaviors in nano- indentation/scratching of BCC iron. Two cases with different substrate orientations have been simulated. The orientations along x, y and z direction are [001], [100] and [010] for Case I and [111], [-1-12] and [1-10] for Case II, respectively. Case I and Case II exhibit different deformation patterns in the substrate. During indentation, the pile-up can be observed in Case I, but not in Case II. During scratching the pile-up ahead of the movement of the indenter has been enlarged in Case I, while a chip with the disordered atoms is generated in Case II. It has been found that Case I has both higher hardness and larger coefficient of friction. The ratios of the hardness and the coefficient of friction between cases I and II are nearly 2. The reason is attributed to the different crystallographic orientations used in both cases
Π Π²ΠΎΠΏΡΠΎΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Β«ΠΏΠΎΠ»Π΅Π·Π½ΡΡ Β» Π·Π°Π΄Π°Ρ Π΄Π»Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΡΠ°Π±ΠΎΡΠΎΠΉ Π±Π»ΠΎΠΊΡΠ΅ΠΉΠ½ ΡΠΈΡΡΠ΅ΠΌ
This paper is a logical continuation of the paper about possible approaches to solving the βUseful Proof-of-work for blockchainsβ problem. We suggest some alternative ways for searching useful tasks for Proof-of-work systems. These ways are based on the process of the multiple and independent repetition of a simple experiment. The experiment is to chose an element independently and uniformly from a quite large set and then to check if the chosen element has a specific rare property. In the classic blockchain of Bitcoin this experiment is a so-called hash-puzzle. In these terms the process of solving a hash-puzzle may be replaced by searching rare astronomical objects or Go positions with specific conditions. Moreover, we describe a possible attack on the blockchain systems in which the task instance generation algorithm is replaced by the algorithm of selecting the task instance from the existing database with public access for publication of task instances and discuss the way of protection.Π‘ΡΠ°ΡΡΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠΎΠ΄ΠΎΠ»ΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΡΠ°Π±ΠΎΡΡ ΠΎ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΡ
ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π°Ρ
ΠΊ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π΄Π°ΡΠΈ Β«UsefulProof-of-workforblockchainsΒ». ΠΡ ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌ Π½Π΅ΠΊΠΎΡΠΎΡΡΠ΅ Π°Π»ΡΡΠ΅ΡΠ½Π°ΡΠΈΠ²Π½ΡΠ΅ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΠΎΠΈΡΠΊΠ° ΠΏΠΎΠ»Π΅Π·Π½ΡΡ
Π·Π°Π΄Π°Ρ Π΄Π»Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΡΠ°Π±ΠΎΡΠΎΠΉ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΠ΅ Π½Π° ΡΠΎΠΌ, ΡΡΠΎ ΠΏΡΠΎΡΠ΅ΡΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ Ρ
Π΅Ρ-Π³ΠΎΠ»ΠΎΠ²ΠΎΠ»ΠΎΠΌΠΊΠΈ Π±Π»ΠΈΠ·ΠΎΠΊ ΠΊ ΠΌΠ½ΠΎΠ³ΠΎΠΊΡΠ°ΡΠ½ΠΎΠΌΡ Π½Π΅Π·Π°Π²ΠΈΡΠΈΠΌΠΎΠΌΡ ΠΏΠΎΠ²ΡΠΎΡΠ΅Π½ΠΈΡ ΡΠ»Π΅Π΄ΡΡΡΠ΅Π³ΠΎ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°: ΠΏΡΡΡΡ Π·Π°Π΄Π°Π½ΠΎ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ Π±ΠΎΠ»ΡΡΠΎΠ΅ ΠΏΠΎ ΠΌΠΎΡΠ½ΠΎΡΡΠΈ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²ΠΎ (Π½Π°ΠΏΡΠΈΠΌΠ΅Ρ, ΡΠΎΡΡΠΎΡΡΠ΅Π΅ ΠΈΠ· 2" ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ², Π΄Π»Ρ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ Π±ΠΎΠ»ΡΡΠΎΠ³ΠΎ ΠΏ), ΡΠΎΠ»ΡΠΊΠΎ Π½Π΅Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½Π°Ρ ΡΠ°ΡΡΡ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ ΠΎΠ±Π»Π°Π΄Π°Π΅Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΠΌ ΡΠ²ΠΎΠΉΡΡΠ²ΠΎΠΌ. ΠΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½Ρ ΡΠΎΡΡΠΎΠΈΡ Π² ΡΠ°Π²Π½ΠΎΠΌΠ΅ΡΠ½ΠΎΠΌ Π²ΡΠ±ΠΎΡΠ΅ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠ° ΠΈΠ· ΡΡΠΎΠ³ΠΎ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π° Ρ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΠ΅ΠΉ ΠΏΡΠΎΠ²Π΅ΡΠΊΠΎΠΉ Π½Π°Π»ΠΈΡΠΈΡ Ρ Π½Π΅Π³ΠΎ ΡΠΊΠ°Π·Π°Π½Π½ΠΎΠ³ΠΎ ΡΠ²ΠΎΠΉΡΡΠ²Π°. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΠΏΡΠΎΡΠ΅ΡΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ Ρ
Π΅Ρ-Π³ΠΎΠ»ΠΎΠ²ΠΎΠ»ΠΎΠΌΠΊΠΈ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ Π·Π°ΠΌΠ΅Π½Π΅Π½, Π½Π°ΠΏΡΠΈΠΌΠ΅Ρ, ΠΏΠΎΠΈΡΠΊΠΎΠΌ ΡΠ΅Π΄ΠΊΠΈΡ
Π°ΡΡΡΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΈΠ»ΠΈ ΠΏΠΎΠΈΡΠΊΠΎΠΌ ΠΏΠΎΠ·ΠΈΡΠΈΠΉ ΠΈΠ³ΡΡ ΠΠΎ, ΡΠ΄ΠΎΠ²Π»Π΅ΡΠ²ΠΎΡΡΡΡΠΈΡ
ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΠΌ ΡΡΠ»ΠΎΠ²ΠΈΡΠΌ. ΠΡΠΎΠΌΠ΅ ΡΠΎΠ³ΠΎ, ΠΌΡ ΠΎΠΏΠΈΡΡΠ²Π°Π΅ΠΌ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΡ Π°ΡΠ°ΠΊΡ Π½Π° Π±Π»ΠΎΠΊΡΠ΅ΠΉΠ½-ΡΠΈΡΡΠ΅ΠΌΡ, Π² ΠΊΠΎΡΠΎΡΠΎΠΉ Π°Π»Π³ΠΎΡΠΈΡΠΌ Π³Π΅Π½Π΅ΡΠ°ΡΠΈΠΈ ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΡΠ½ΡΡ
ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΠΈΡΠ΅Π»Π΅ΠΉ Π·Π°Π΄Π°Ρ Π΄Π»Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΡΠ°Π±ΠΎΡΠΎΠΉ Π·Π°ΠΌΠ΅Π½Π΅Π½ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠΌ Π²ΡΠ±ΠΎΡΠ° ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΡΠ½ΡΡ
ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΠΈΡΠ΅Π»Π΅ΠΉ ΠΈΠ· ΠΈΠΌΠ΅ΡΡΠ΅ΠΉΡΡ Π±Π°Π·Ρ Π΄Π°Π½Π½ΡΡ
, ΡΠΎ ΡΡΠΎΡΠΎΠ½Ρ Π½Π΅Π΄ΠΎΠ±ΡΠΎΡΠΎΠ²Π΅ΡΡΠ½ΡΡ
ΠΏΠΎΡΡΠ°Π²ΡΠΈΠΊΠΎΠ² ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΡΠ½ΡΡ
ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΠΈΡΠ΅Π»Π΅ΠΉ Π·Π°Π΄Π°Ρ, Π² ΡΠ»ΡΡΠ°Π΅ ΠΈΡ
ΠΏΡΠ±Π»ΠΈΡΠ½ΠΎΠ³ΠΎ ΡΠ±ΠΎΡΠ°, ΠΈ ΠΎΠ±ΡΡΠΆΠ΄Π°Π΅ΠΌ Π½Π΅ΠΊΠΎΡΠΎΡΡΠ΅ ΡΠΏΠΎΡΠΎΠ±Ρ Π·Π°ΡΠΈΡΡ ΠΎΡ ΡΡΠΎΠΉ Π°ΡΠ°ΠΊΠΈ
Multi-Jet Event Rates in Deep Inelastic Scattering and Determination of the Strong Coupling Constant
Jet event rates in deep inelastic ep scattering at HERA are investigated
applying the modified JADE jet algorithm. The analysis uses data taken with the
H1 detector in 1994 and 1995. The data are corrected for detector and
hadronization effects and then compared with perturbative QCD predictions using
next-to-leading order calculations. The strong coupling constant alpha_S(M_Z^2)
is determined evaluating the jet event rates. Values of alpha_S(Q^2) are
extracted in four different bins of the negative squared momentum
transfer~\qq in the range from 40 GeV2 to 4000 GeV2. A combined fit of the
renormalization group equation to these several alpha_S(Q^2) values results in
alpha_S(M_Z^2) = 0.117+-0.003(stat)+0.009-0.013(syst)+0.006(jet algorithm).Comment: 17 pages, 4 figures, 3 tables, this version to appear in Eur. Phys.
J.; it replaces first posted hep-ex/9807019 which had incorrect figure 4
Concomitant homozygosity for the prothrombin gene variant with mild deficiency of antithrombin III in a patient with multiple hepatic infarctions: a case report
<p>Abstract</p> <p>Introduction</p> <p>Hereditary causes of visceral thrombosis or thrombosis should be sought among young patients. We present a case of a young man presenting with multiple hepatic infarctions resulting in portal hypertension due to homozygosity of the prothrombin gene mutation not previously described in literature.</p> <p>Case presentation</p> <p>A 42-year-old Caucasian man with a previous history of idiopathic deep vein thrombosis 11 years earlier presented with vague abdominal pains and mildly abnormal liver function tests. An ultrasound and computed tomography scan showed evidence of hepatic infarction and portal hypertension (splenic varices). A thrombophilia screen confirmed a homozygous mutation for the prothrombin gene mutation, with mildly reduced levels of anti-thrombin III (AT III). Subsequent testing of his father and brother revealed heterozygosity for the same gene mutation.</p> <p>Conclusion</p> <p>Hepatic infarction is unusual due to the rich dual arterial and venous blood supply to the liver. In the absence of an arterial or haemodynamic insult causing hepatic infarction, a thrombophilia should be considered. To our knowledge, this is the first reported case of a hepatic infarction due to homozygosity of the prothrombin gene mutation. It is unclear whether homozygotes have a higher risk of thrombosis than heterozygotes. In someone presenting with a first thrombosis with this mutation, the case for life-long anticoagulation is unclear, but it may be necessary to prevent a second and more severe second thrombotic event, as occurred in this case.</p
Π‘ΠΎΠ²ΠΌΠ΅ΡΡΠ½ΠΎΠ΅ ΡΠΏΡΠΎΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΡΡ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠ³ΠΎ ΡΠΈΠΏΠ° Ρ ΡΠΎΡ ΡΠ°Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΠΎΠΏΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΉ
Cartographic generalization includes the process of graphically reducing information from reality or larger scaled maps to display only the information that is necessary at a specific scale. After generalization, maps can show the main things and essential characteristics. The scale, use and theme of maps, geographical features of cartographic regions and graphic dimensions of symbols are the main factors affecting cartographic generalization. Geometric simplification is one of the core components of cartographic generalization. The topological relations of spatial features also play an important role in spatial data organization, queries, updates, and quality control. Various map transformations can change the relationships between features, especially since it is common practice to simplify each type of spatial feature independently (first administrative boundaries, then road network, settlements, hydrographic network, etc.). In order to detect the spatial conflicts a refined description of topological relationships is needed. Considering coverings and mesh structures allows us to reduce the more general problem of topological conflict correction to the problem of resolving topological conflicts within a single mesh cell. In this paper, a new simplification algorithm is proposed. Its peculiarity is the joint simplification of a set of spatial objects of different types while preserving their topological relations. The proposed algorithm has a single parameter β the minimum map detail size (usually it is equal to one millimeter in the target map scale). The first step of the algorithm is the construction of a special mesh data structure. On its basis for each spatial object a sequence of cells is formed, to which points of this object belong. If a cell contains points of only one object, its geometric simplification is performed within the bounding cell using the sleeve-fitting algorithm. If a cell contains points of several objects, geometric simplification is performed using a special topology-preserving procedure.ΠΠ°ΡΡΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ Π³Π΅Π½Π΅ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ Π²ΠΊΠ»ΡΡΠ°Π΅Ρ Π²ΡΠ±ΠΎΡ ΠΎΡΠΎΠ±ΡΠ°ΠΆΠ°Π΅ΠΌΡΡ
Π½Π° ΠΊΠ°ΡΡΠ΅ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΈ ΡΠ²Π»Π΅Π½ΠΈΠΉ ΠΈ ΠΈΡ
ΡΠΏΡΠΎΡΠ΅Π½ΠΈΠ΅ (ΠΎΠ±ΠΎΠ±ΡΠ΅Π½ΠΈΠ΅) Ρ ΡΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΡΠΈΠΏΠΈΡΠ½ΡΡ
ΡΠ΅ΡΡ ΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½ΡΡ
ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ, Π° ΡΠ°ΠΊΠΆΠ΅ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Π΅ΠΉ Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΠΊΡΠΈΡΠ΅ΡΠΈΡΠΌΠΈ, Π·Π°Π΄Π°Π²Π°Π΅ΠΌΡΠΌΠΈ Π² Π·Π°ΠΏΡΠΎΡΠ΅ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΌ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΡΠ΅ΡΠ°Π΅ΠΌΠΎΠΉ Π·Π°Π΄Π°ΡΠ΅ΠΉ ΠΈ ΠΌΠ°ΡΡΡΠ°Π±ΠΎΠΌ ΠΎΡΠΎΠ±ΡΠ°ΠΆΠ°Π΅ΠΌΠΎΠΉ ΠΊΠ°ΡΡΡ. Π Π°Π·Π»ΠΈΡΠ½ΡΠ΅ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ ΠΊΠ°ΡΡ ΠΌΠΎΠ³ΡΡ ΠΈΠ·ΠΌΠ΅Π½ΠΈΡΡ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΠΌΠ΅ΠΆΠ΄Ρ ΠΎΠ±ΡΠ΅ΠΊΡΠ°ΠΌΠΈ, ΡΠ΅ΠΌ Π±ΠΎΠ»Π΅Π΅ ΡΡΠΎ ΠΎΠ±ΡΠ΅ΠΏΡΠΈΠ½ΡΡΠΎΠΉ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠ°ΠΊΡΠΈΠΊΠ° ΡΠΏΡΠΎΡΠ΅Π½ΠΈΡ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΡΠΈΠΏΠ° ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² Π½Π΅Π·Π°Π²ΠΈΡΠΈΠΌΠΎ (ΡΠ½Π°ΡΠ°Π»Π° Π°Π΄ΠΌΠΈΠ½ΠΈΡΡΡΠ°ΡΠΈΠ²Π½ΡΠ΅ Π³ΡΠ°Π½ΠΈΡΡ, ΠΏΠΎΡΠΎΠΌ Π΄ΠΎΡΠΎΠΆΠ½Π°Ρ ΡΠ΅ΡΡ, Π½Π°ΡΠ΅Π»Π΅Π½Π½ΡΠ΅ ΠΏΡΠ½ΠΊΡΡ, Π³ΠΈΠ΄ΡΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠ΅ΡΡ ΠΈ Ρ. Π΄.). Π Π°Π·ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΡΠΎΠΏΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΊΠΎΠ½ΡΠ»ΠΈΠΊΡΠΎΠ² β ΠΎΠ΄Π½Π° ΠΈΠ· Π²Π°ΠΆΠ½Π΅ΠΉΡΠΈΡ
Π·Π°Π΄Π°Ρ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ Π³Π΅Π½Π΅ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΊΠ°ΡΡ, ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΊΠΎΡΠΎΡΠΎΠΉ ΡΠ΄Π΅Π»ΡΠ΅ΡΡΡ ΠΎΡΠΎΠ±ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Ρ Π½Π°ΡΠ°Π»Π° ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² ΡΡΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΈΠ΅ ΠΏΠΎΠΊΡΡΡΠΈΠΉ ΠΈ ΡΠ΅ΡΠΎΡΠ½ΡΡ
ΡΡΡΡΠΊΡΡΡ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠ²Π΅ΡΡΠΈ Π±ΠΎΠ»Π΅Π΅ ΠΎΠ±ΡΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠΈ ΡΠΎΠΏΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΊΠΎΠ½ΡΠ»ΠΈΠΊΡΠΎΠ² ΠΊ Π·Π°Π΄Π°ΡΠ΅ ΡΠ°Π·ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΠΎΠΏΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΊΠΎΠ½ΡΠ»ΠΈΠΊΡΠΎΠ² Π²Π½ΡΡΡΠΈ ΠΎΠ΄Π½ΠΎΠΉ ΡΡΠ΅ΠΉΠΊΠΈ ΡΠ΅ΡΠΊΠΈ. Π Π½Π°ΡΡΠΎΡΡΠ΅ΠΉ ΡΠ°Π±ΠΎΡΠ΅ ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΡΡΡ Π½ΠΎΠ²ΡΠΉ Π°Π»Π³ΠΎΡΠΈΡΠΌ Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΏΡΠΎΡΠ΅Π½ΠΈΡ. ΠΠ³ΠΎ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠΎΠ²ΠΌΠ΅ΡΡΠ½ΠΎΠ΅ ΡΠΏΡΠΎΡΠ΅Π½ΠΈΠ΅ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π° ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠ³ΠΎ ΡΠΈΠΏΠ° Ρ ΡΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΈΡ
ΡΠΎΠΏΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΉ. ΠΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΡΠΉ Π°Π»Π³ΠΎΡΠΈΡΠΌ ΠΈΠΌΠ΅Π΅Ρ Π΅Π΄ΠΈΠ½ΡΡΠ²Π΅Π½Π½ΡΠΉ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΡΠΉ ΡΠ°Π·ΠΌΠ΅Ρ ΠΎΡΠΎΠ±ΡΠ°ΠΆΠ°Π΅ΠΌΠΎΠΉ Π½Π° ΠΊΠ°ΡΡΠ΅ Π΄Π΅ΡΠ°Π»ΠΈ (ΠΎΠ±ΡΡΠ½ΠΎ ΠΎΠ½ ΡΠ°Π²Π΅Π½ ΠΎΠ΄Π½ΠΎΠΌΡ ΠΌΠΈΠ»Π»ΠΈΠΌΠ΅ΡΡΡ Π² ΡΠ΅Π»Π΅Π²ΠΎΠΌ ΠΌΠ°ΡΡΡΠ°Π±Π΅ ΠΊΠ°ΡΡΡ). ΠΠ΅ΡΠ²ΡΠΌ ΡΠ°Π³ΠΎΠΌ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ΅ΡΠΎΡΠ½ΠΎΠΉ ΡΡΡΡΠΊΡΡΡΡ Π΄Π°Π½Π½ΡΡ
. ΠΠ° Π΅Π΅ ΠΎΡΠ½ΠΎΠ²Π΅ Π΄Π»Ρ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ΅ΠΊΡΠ° ΡΠΎΡΠΌΠΈΡΡΠ΅ΡΡΡ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΡΡΠ΅Π΅ΠΊ, ΠΊΠΎΡΠΎΡΡΠΌ ΠΏΡΠΈΠ½Π°Π΄Π»Π΅ΠΆΠ°Ρ ΡΠΎΡΠΊΠΈ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ΅ΠΊΡΠ°. ΠΡΠ»ΠΈ Π² ΡΡΠ΅ΠΉΠΊΠ΅ Π½Π°Ρ
ΠΎΠ΄ΡΡΡΡ ΡΠΎΡΠΊΠΈ ΡΠΎΠ»ΡΠΊΠΎ ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ΅ΠΊΡΠ°, ΡΠΎ Π΅Π³ΠΎ Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΏΡΠΎΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠΎΠΈΡΡ
ΠΎΠ΄ΠΈΡ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΎΠ³ΡΠ°Π½ΠΈΡΠΈΠ²Π°ΡΡΠ΅ΠΉ ΡΡΠ΅ΠΉΠΊΠΈ ΠΏΠΎ Π°Π»Π³ΠΎΡΠΈΡΠΌΡ sleeve-fitting. ΠΡΠ»ΠΈ Π² ΡΡΠ΅ΠΉΠΊΠ΅ ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΡΡ ΡΠΎΡΠΊΠΈ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ², ΡΠΎ Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΏΡΠΎΡΠ΅Π½ΠΈΠ΅ ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ΅ΡΡΡ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ, ΡΠΎΡ
ΡΠ°Π½ΡΡΡΠ΅ΠΉ ΡΠΎΠΏΠΎΠ»ΠΎΠ³ΠΈΡ, ΠΏΡΠΎΡΠ΅Π΄ΡΡΡ
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