711 research outputs found
Tree Stands and Their Productivity Dynamics at the Upper Growing Limit in Khibiny on the Background of Modern Climate Changes
Within the ecotone of the upper limit of woody vegetation on the southeastern macroslope of the Khibiny Mountain ridge (Kola Peninsula), the spatial and age structure, as well as features of the phytomass accumulation of spruceβbirch stands, were studied. Analysis revealed that there was a manifold increase in the density and productivity of forest stands in the last century, and the upper border of the woodlands and dense forests has moved considerably higher into the mountains. All of this happened against the background of an increase in early summer temperatures and a longer growing season in the area in the 20th century. Our data will help simulate the response of mountain ecosystems in the region to future climate change. Β© 2019, Pleiades Publishing, Ltd
Model for testing sucker-rod pumping unit operation control algorithms in Simscape Multibody package
The article discloses the basic steps of creating a model of the sucker-rod pumping unit (SRPU) using Simscape Multibody library of MATLAB Simulink software package. The model is used for the development of different algorithms for controlling, monitoring and diagnosing operation of the individual assemblies and the whole mechanism, which are included in the software of the SRPU control station. Some issues of using Multibody library blocks, necessary for complete accounting of pumpjack design features and most accurately reflect the real object properties in the model were discussed. The explanation given for use of instrumentation capabilities for data collection and analysis of the mechanism. Inferences are prospected of practical use of the results obtained in model of SRPU, as well as the further course of the development of this product.Π‘ΡΠ°ΡΡΡ ΡΠ°ΡΠΊΡΡΠ²Π°Π΅Ρ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΡΡΠ°ΠΏΡ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΡΠ°Π½Π³ΠΎΠ²ΠΎΠΉ Π³Π»ΡΠ±ΠΈΠ½Π½ΠΎΠΉ Π½Π°ΡΠΎΡΠ½ΠΎΠΉ ΡΡΡΠ°Π½ΠΎΠ²ΠΊΠΈ (Π¨ΠΠΠ£) Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ Simscape Multibody ΠΈΠ· ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΏΠ°ΠΊΠ΅ΡΠ° MATLAB Simulink. ΠΠΎΠ΄Π΅Π»Ρ ΡΠ»ΡΠΆΠΈΡ Π΄Π»Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ, ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΠΈ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΡΠ°Π±ΠΎΡΡ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
Π°Π³ΡΠ΅Π³Π°ΡΠΎΠ² ΠΈ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠ° Π² ΡΠ΅Π»ΠΎΠΌ, ΠΊΠΎΡΠΎΡΡΠ΅ Π²Ρ
ΠΎΠ΄ΡΡ Π² ΡΠΎΡΡΠ°Π² ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΡΡΠ°Π½ΡΠΈΠΈ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π¨ΠΠΠ£. ΠΠΎΠ΄ΡΠΎΠ±Π½ΠΎ ΡΠ°ΡΠΊΡΡΡΡ Π²ΠΎΠΏΡΠΎΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π±Π»ΠΎΠΊΠΎΠ² Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ Multibody, Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΡ
Π΄Π»Ρ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠΎΠ»Π½ΠΎΠ³ΠΎ ΡΡΠ΅ΡΠ° ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ ΡΡΠ°Π½ΠΊΠ°-ΠΊΠ°ΡΠ°Π»ΠΊΠΈ ΠΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΎΡΡΠ°ΠΆΠ΅Π½ΠΈΡ Π² ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠ²ΠΎΠΉΡΡΠ² ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ΅ΠΊΡΠ°. ΠΠ°Π½Ρ ΠΏΠΎΡΡΠ½Π΅Π½ΠΈΡ ΠΏΠΎ ΠΏΠΎΠ²ΠΎΠ΄Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠ΅ΠΉ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΠΎΠ³ΠΎ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΠΈΡ Π΄Π»Ρ ΡΠ±ΠΎΡΠ° ΠΈ Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΠΎΠ³ΠΎ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠ°. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ Π²ΡΠ²ΠΎΠ΄Ρ ΠΎ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π°Ρ
ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ², ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
Π½Π° ΠΌΠΎΠ΄Π΅Π»ΠΈ Π¨ΠΠΠ£, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΎ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅ΠΌ Ρ
ΠΎΠ΄Π΅ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ΄ΡΠΊΡΠ°
Sucker-rod pumping units equipment diagnosing facilities
Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ ΠΎΠ±ΡΠΈΠ΅ ΡΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΎ ΠΏΠΎΡΠ²Π»Π΅Π½ΠΈΠΈ ΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΈ ΡΡΡΠ°Π½ΠΎΠ²ΠΎΠΊ ΡΡΠ°Π½Π³ΠΎΠ²ΡΡ
Π³Π»ΡΠ±ΠΈΠ½Π½ΡΡ
Π½Π°ΡΠΎΡΠΎΠ² (Π£Π¨ΠΠ), ΠΈ Π΄Π°Π½ΠΎ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ ΡΠ°ΠΊΠΎΠΉ ΡΡΡΠ°Π½ΠΎΠ²ΠΊΠΈ, ΠΎΡΠ½Π°ΡΠ΅Π½Π½ΠΎΠΉ ΡΡΠ°Π½ΠΊΠΎΠΌ-ΠΊΠ°ΡΠ°Π»ΠΊΠΎΠΉ. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π΄Π²Π° ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΡΠΏΠΎΡΠΎΠ±Π° Π΄Π»Ρ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΡΠ°ΠΊΠΈΡ
ΡΡΡΠ°Π½ΠΎΠ²ΠΎΠΊ: Π΄ΠΈΠ½Π°ΠΌΠΎΠΌΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ Π²Π°ΡΡΠΌΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΠΏΡΠΈΠ½ΡΠΈΠΏΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ Π΄ΠΈΠ°Π³ΡΠ°ΠΌΠΌ ΠΈ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΠ΅ Π΄Π»Ρ ΡΡΠΎΠ³ΠΎ Π΄Π°ΡΡΠΈΠΊΠΈ. ΠΠΏΠΈΡΠ°Π½Ρ ΡΡΡΠ°ΡΠ΅Π²ΡΠ°Ρ ΠΈ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½Π°Ρ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΡ Π΄ΠΈΠ½Π°ΠΌΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ (Π΄ΠΈΠ½Π°ΠΌΠΎΠ³ΡΠ°ΡΠ°). ΠΡΠΈΠ²Π΅Π΄Π΅Π½ ΠΏΠ΅ΡΠ΅ΡΠ΅Π½Ρ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΡ
Π΄Π»Ρ ΠΏΠΎΠΈΡΠΊΠ° Π½Π΅ΠΈΡΠΏΡΠ°Π²Π½ΠΎΡΡΠ΅ΠΉ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ², ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠΆΠ½ΠΎ ΠΏΠΎΠ»ΡΡΠΈΡΡ ΠΊΠ°ΠΊ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π΄ΠΈΠ½Π°ΠΌΠΎΠ³ΡΠ°ΠΌΠΌΡ, ΡΠ°ΠΊ ΠΈ Π²Π°ΡΡΠΌΠ΅ΡΡΠΎΠ³ΡΠ°ΠΌΠΌΡ. Π‘Π΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄ ΠΎ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΈ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² Π΄Π°Π½Π½ΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ.The common information about appearance and application of the sucker-rod pumping units (SRPU) is presented in this paper, and the pumpjack structure description is given. The two main ways of the unit diagnostics - dynamometry and wattmetry are considered. The approaches for dynamometer card building and necessary sensors are submitted. Stale and modern implementation of the dynamometric system (dynamograph) are depicted. List of essential parameters for a fault search by dint of dynamometer and wattmeter cards is set. The conclusion about a further research direction in this field is made
Hypermethylation of TUSC5 genes in breast cancer tissue
Aim: Breast cancer (BC) is one of the most common forms of cancer amongst females. Early diagnosis, prognosis and therapy plays crucial role in the survival of patients with breast cancer. The study was aimed on identification of potential markers for early BC diagnostics by means of genome-wide comparative analysis of gene expression in cancer and normal tissue of breast. Methods: The analysis of gene expression in 15 invasive adenocarcinoma specimens and 15 normal breast tissue was conducted using the full-genome microarrays Sentrix HumanWD-6V3 BeadChip (Illumina). Methylation of TP53INK1 and TUSΠ‘5 promoters was interrogated by the combined bisulfite restriction analysis (COBRA). Results: Analysis of gene expression in the samples of breast adenocarcinoma revealed abnormal expression of more than 2,300 genes. While genes TFF1, S100P, ERBB2, TOP2A, CDF15, HOOK1, DNAJC12, CORO2A were up-regulated in cancer, decreased expression was found for genes TUSC5, SFRP1, PPPQR1B, NTRK4, TIMP4, BARD1, AKR1C2, TP53INK1 and others. Analysis of DNA methylation of TUSC5 by COBRA revealed higher levels of exon 1 methylation (11/12) in samples of breast cancer, whereas the gene was essentially unmethylated in matched normal appearing tissue of breast (2/12). TP53INK1 gene was methylated neither in cancer nor in normalcy. Conclusion: A total of 149 genes exhibited the highest difference in expression in cancer versus normal appearing tissue of breast. Most prominent down-regulated candidates, TUSC5 and TP53INK1, were reported for the first time in breast cancer and may be considered as potential markers of the disease. Aberrant DNA hypermethylation of TUSC5 suggests epigenetic mechanism of cancer associated down-regulation
Epigenetic mechanisms of TNFΞ± activation in patients with cancer endometry
An important aspect of the management of patients with endometrial cancer (ER) is the
timely identification of risk groups, early signs of the onset and recurrence of the disease. There
is an active search for new markers for early diagnosis, detection of relapses and postoperative
monitoring of RE. Tumor necrosis factor alpha (TNFΞ±) is a cytokine involved in the
pathogenesis of various forms of cancer, as well as associated with chronic inflammation,
obesity. The goal is to study the methylation of the TNFa gene in the OM and the possibility of
using it as a marker for forecasting, monitoring, and the risk of developing the OM. Materials
and methods. DNA methylation was determined by the method of pyrosequencing in
endometrial specimens taken from 10 patients with verified endometrial hyperplasia and 13
patients with RE when performing hysteroscopy with endometrial biopsy or endometrial
curettage. Results and discussion. The total degree of methylation of the TNFΞ± gene DNA
promoter in the samples under study in patients with simple and / or complex nonatypical
endometrial hyperplasia was 62.6 Β± 12.8% and was higher than in RE patients (34.7 Β± 8.8%).
Findings. The results of the study showed the involvement of the epigenetic mechanism, which
is associated with hypomethylation of the TNFΞ± gene promoter, which can lead to the activation
of the TNFΞ± gene in RE. Determining the amount of methylation DNA promoter of the TNFΞ±
gene can be used as a potential prognostic and diagnostic marker for ER
Free-free absorption parameters of Cassiopeia A from low-frequency interferometric observations
Context. Cassiopeia A is one of the most extensively studied supernova
remnants (SNRs) in our Galaxy. The analysis of its spectral features with the
help of low frequency observations plays an important role for understanding
the evolution of the radio source through the propagation of synchrotron
emission to observers through the SNR environment and the interstellar medium.
Aims. In this paper we present measurements of the integrated spectrum of Cas A
to characterize the properties of free-free absorption towards this SNR. We
also add new measurements to track its slowly evolving and decreasing
integrated flux density. Methods. We use the Giant Ukrainian radio telescope
(GURT) for measuring the continuum spectrum of Cassiopeia A within the
frequency range of 16-72 MHz. The radio flux density of Cassiopeia A relative
to the reference source of the radio galaxy Cygnus A has been measured on
May-October, 2019 with two subarrays of the GURT, used as a two-element
correlation interferometer. Results. We determine magnitudes of emission
measure, electron temperature and an average number of charges of the ions for
both internal and external absorbing ionized gas towards in Cassiopeia A.
Generally, their values are close to the ones suggested by Arias et al. (2018),
although for some there are slight differences. In the absence of clumping we
find the unshocked ejecta of M = 2.61 solar mass at the electron density of
15.3 cm^-3 has a gas temperature of T=100 K. If the clumping factor is 0.67,
then the unshocked ejecta of 0.96 solar mass the electron density of 18.7
cm^-3. Conclusions. The integrated flux density spectrum of Cassiopeia A
obtained with the GURT interferometric observations is consistent with the
theoretical model within measurement errors and also reasonably consistent with
other recent results in the literature.Comment: 9 pages, 9 figures, 2 table
Hypermethylation of TUSC5 genes in breast cancer tissue.
Breast cancer (BC) is one of the most common forms of cancer amongst females. Early diagnosis, prognosis and therapy plays
crucial role in the survival of patients with breast cancer. The study was aimed on identification of potential markers for early
BC diagnostics by means of genome-wide comparative analysis of gene expression in cancer and normal tissue of breast.
The analysis of gene expression in 15 invasive adenocarcinoma specimens and 15 normal breast tissue was conducted using the
full-genome microarrays Sentrix HumanWD-6V3 BeadChip (Illumina). Methylation of TP53INK1 and TUSΠ‘5 promoters was
interrogated by the combined bisulfite restriction analysis (COBRA). Results: Analysis of gene expression in the samples of breast
adenocarcinoma revealed abnormal expression of more than 2,300 genes. While genes TFF1, S100P, ERBB2, TOP2A, CDF15,
HOOK1, DNAJC12, CORO2A were up-regulated in cancer, decreased expression was found for genes TUSC5, SFRP1, PPPQR1B,
NTRK4, TIMP4, BARD1, AKR1C2, TP53INK1 and others. Analysis of DNA methylation of TUSC5 by COBRA revealed higher
levels of exon 1 methylation (11/12) in samples of breast cancer, whereas the gene was essentially unmethylated in matched normal
appearing tissue of breast (2/12). TP53INK1 gene was methylated neither in cancer nor in normalcy. Conclusion: A total of 149 genes
exhibited the highest difference in expression in cancer versus normal appearing tissue of breast. Most prominent down-regulated
candidates, TUSC5 and TP53INK1, were reported for the first time in breast cancer and may be considered as potential markers
of the disease. Aberrant DNA hypermethylation of TUSC5 suggests epigenetic mechanism of cancer associated down-regulation.
Key Words: differentially expressed genes, DNA methylation, breast cancer
Microarray study of gene expression in uterine leiomyoma
Uterine leiomyoma is a most common benign neoplasm in women of reproductive age. It arises from the myometrial compartment of the uterus and may transform in some cases to a malignant phenotype. Aim: To identify the genes involved in pathogenesis of uterine leiomyoma. Methods: We have studied differential gene expression in matched tissue samples of leiomyoma and normal myometrium from the very same people utilizing a cDNA microarray screening method. We also compared our results with previously published microarray data to identify the overlapping gene alterations. Results: Based on this comparison we can divide genes deregulated in our study into two groups. The first group comprises genes that to our knowledge have not been previously reported as deregulated in fibroids: CLDN1, FGF7 (KGF), HNRPM, ISOC1, MAGEC1 (CT7), MAPK12, RFC, TIE1, TNFRSF21 (DR6). The second group consists of genes identified also in previous studies: CCND1 (BCL1), CDKN1A (P21), CRABP2, FN1 and SOX4 (EVI16). In our study FN1 was the most up-regulated gene, occupying the place between the myometrium and fibroids ranging from 2.07 to 3.64, depending of the probe molecule used for detection. Conclusions: Newly identified genes may be regarded as potential diagnostic or prognostic markers of uterine leiomyoma and thus may be very useful as new therapeutic candidates.ΠΠ΅ΠΉΠΎΠΌΠΈΠΎΠΌΠ° ΠΌΠ°ΡΠΊΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΡΡ
Π΄ΠΎΠ±ΡΠΎΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
Π½ΠΎΠ²ΠΎΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠΉ ΠΆΠ΅Π½ΡΠΊΠΎΠΉ ΡΠ΅ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΠΉ
ΡΡΠ΅ΡΡ. Π Π½Π΅ΠΊΠΎΡΠΎΡΡΡ
ΡΠ»ΡΡΠ°ΡΡ
ΠΎΡΠΌΠ΅ΡΠ°ΡΡ Π·Π»ΠΎΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠ°ΡΠΈΡ Π΄Π°Π½Π½ΠΎΠ³ΠΎ Π½ΠΎΠ²ΠΎΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ. Π¦Π΅Π»Ρ: ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ
Π³Π΅Π½ΠΎΠ², Π²ΠΎΠ²Π»Π΅ΡΠ΅Π½Π½ΡΡ
Π² ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅Π· Π»Π΅ΠΉΠΎΠΌΠΈΠΎΠΌΡ. ΠΠ΅ΡΠΎΠ΄Ρ: ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΈ Π³Π΅Π½ΠΎΠ² Π²
ΠΎΠ±ΡΠ°Π·ΡΠ°Ρ
Π»Π΅ΠΉΠΎΠΌΠΈΠΎΠΌΡ ΠΈ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΈΠΎΠΌΠ΅ΡΡΠΈΡ ΠΎΠ΄Π½ΠΈΡ
ΠΈ ΡΠ΅Ρ
ΠΆΠ΅ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΠΠ-Π±ΠΈΠΎΡΠΈΠΏ-Π³ΠΈΠ±ΡΠΈΠ΄ΠΈΠ·Π°ΡΠΈΠΈ ΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ
ΡΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² Ρ Π΄Π°Π½Π½ΡΠΌΠΈ, ΠΎΠΏΡΠ±Π»ΠΈΠΊΠΎΠ²Π°Π½Π½ΡΠΌΠΈ ΡΠ°Π½Π΅Π΅. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ: Π²ΡΡΠ²Π»Π΅Π½Ρ ΡΠ°Π·Π»ΠΈΡΠΈΡ Π² ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΈ
ΡΡΠ΄Π° Π³Π΅Π½ΠΎΠ², ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠΆΠ½ΠΎ ΡΠ°Π·Π΄Π΅Π»ΠΈΡΡ Π½Π° Π΄Π²Π΅ Π³ΡΡΠΏΠΏΡ. ΠΠΏΠ΅ΡΠ²ΡΠ΅ Π²ΡΡΠ²Π»Π΅Π½Π° ΠΏΠΎΠ²ΡΡΠ΅Π½Π½Π°Ρ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΡ Π³Π΅Π½ΠΎΠ² CLDN1, FGF7 (KGF),
HNRPM, ISOC1, MAGEC1 (CT7), MAPK12, RFC, TIE1 ΠΈ TNFRSF21 (DR6) Π² ΡΠΊΠ°Π½ΠΈ Π»Π΅ΠΉΠΎΠΌΠΈΠΎΠΌΡ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΡΠΌ
ΠΌΠΈΠΎΠΌΠ΅ΡΡΠΈΠ΅ΠΌ. ΠΠΎ Π²ΡΠΎΡΠΎΠΉ Π³ΡΡΠΏΠΏΠ΅ ΠΌΠΎΠΆΠ½ΠΎ ΠΎΡΠ½Π΅ΡΡΠΈ Π³Π΅Π½Ρ CCND1 (BCL1), CDKN1A (P21), CRABP2, FN1 ΠΈ SOX4 (EVI16), ΡΠΆΠ΅
ΡΠΏΠΎΠΌΠΈΠ½Π°Π²ΡΠΈΠ΅ΡΡ Π² ΡΠ²ΡΠ·ΠΈ Ρ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅Π·ΠΎΠΌ Π»Π΅ΠΉΠΎΠΌΠΈΠΎΠΌΡ Π² ΡΡΠ΄Π΅ ΠΏΡΠ΅Π΄ΡΠ΄ΡΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ. ΠΠ°ΠΈΠ±ΠΎΠ»ΡΡΠΈΠΌ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΡΠΎΠ²Π½Ρ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΈ
(Π² 2,07β3,64 ΡΠ°Π· Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ Π·ΠΎΠ½Π΄Π°) Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π»ΡΡ Π³Π΅Π½ ΡΠΈΠ±ΡΠΎΠ½Π΅ΠΊΡΠΈΠ½Π° FN1. ΠΡΠ²ΠΎΠ΄Ρ: ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅
Π³Π΅Π½Ρ ΠΌΠΎΠ³ΡΡ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΡΡ
Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ² Π»Π΅ΠΉΠΎΠΌΠΈΠΎΠΌΡ ΠΌΠ°ΡΠΊΠΈ
Development of Moral Immunity among Students
In the modern conditions of the massive impact on the consciousness of the young generation of multidirectional social factors and influences, the development of moral immunity among students becomes of increased importance. The article notes insufficient development of this problem in modern psychological and pedagogical science. The authors offer their own approach to the interpretation of the concept of βmoral immunityβ as a special personal neoformation that performs the functions of providing psychological resistance to negative factors that can disrupt the normal course of development and socialization of an individual, as well as creating the basis for the formation of a stable moral position in relation to other people and oneself. In the structure of moral immunity, the value, sensory and moral components are distinguished. Based on the material of an empirical study of students with different professional orientation, it is shown that the last two components are characterized by a certain mismatch of their manifestations. The article reveals some areas of work with students that ensure the development of their moral immunity in the educational environment of the university
- β¦