45 research outputs found
TRADITIONS AND MODERN TRENDS OF THE RUSSIAN AND FRENCH ARCHIVAL EDUCATION
This article gives a historical overview of the emergence and development of the French and Russian systems for training the archivists. It describes the levels and current trends in archival education, including the experience with training the archival specialists at "L'Γ©cole nationale des Chartes" Sorbonne and Nosov Magnitogorsk State Technical University
TRADITIONS AND MODERN TRENDS OF THE RUSSIAN AND FRENCH ARCHIVAL EDUCATION
This article gives a historical overview of the emergence and development of the French and Russian systems for training the archivists. It describes the levels and current trends in archival education, including the experience with training the archival specialists at "L'Γ©cole nationale des Chartes" Sorbonne and Nosov Magnitogorsk State Technical University
Transformation of legal consciousness as a threat to the cybersecurity of an individual
The widespread availability of information and telecommunication sources (IT technologies), on the one hand, increases the level of legal awareness of the population and the effectiveness of interaction between political institutions and civil society, the activities of state bodies are becoming more transparent, education is more accessible. But in parallel with this, the level of the destructive impact of digitalization of public relations is also growing. A person dissolves into virtual reality, the personality is split into two, i.e. realized and manifested at different levels in different ways in virtual and real reality, there is a transformation of consciousness and, as a consequence of legal consciousness. In our opinion, the above provision is an urgent problem and requires theoretical and legal analysis. The article examines the problems of transformation of the legal consciousness of an individual in the digital space. The authors propose measures aimed at reducing the unfavorable factors affecting the distortion of legal consciousness
Airborne chemical pollution and childrenβs asthma incidence rate in Minsk
Introduction: Asthma, as a multifactorial disease is closely connected with air pollution. Discovering interconnection between concentrations of air pollutants and asthma incidence rate among children provides information for developing effective measures to reduce air pollution and improve population health. Study purpose was to carry out hygienic analysis of the influence of atmospheric air quality on the incidence rate of bronchial asthma and the asthmatic status of children in Minsk in 2009-2018.
Methods: During 2019 retrospective health cohort study was conducted, data from stationary air quality monitoring posts were collected. Correlation analysis was conducted by determining the Pearson rank correlation coefficient.
Results: Strong evidence was found for concentrations of particulate matter (dust / aerosol undifferentiated in composition), lead, ammonia and nitrogen dioxide making a significant contribution to the formation of elevated asthma and asthmatic status morbidity. The age group of risk are children under the age of 9 years (inclusive).
Conclusions: Patterns obtained in this study are confirmed by the results of other studies (Wang et al. 2017; Orellano et al. 2017). Nevertheless, the main limitations in study are associated with the heterogeneity of the distribution of air quality monitoring posts and the changing list of controlled pollutants for the analyzed period
Evolutionary subdivision of domestic chickens: implications for local breeds as assessed by phenotype and genotype in comparison to commercial and fancy breeds
To adjust breeding programs for local, commercial, and fancy breeds, and to implement molecular (marker-assisted) breeding, a proper comprehension of phenotypic and genotypic variation is a sine qua non for breeding progress in animal production. Here, we investigated an evolutionary subdivision of domestic chickens based on their phenotypic and genotypic variability using a wide sample of 49 different breeds/populations. These represent a significant proportion of the global chicken gene pool and all major purposes of breed use (according to their traditional classification model), with many of them being characterized by a synthetic genetic structure and notable admixture. We assessed their phenotypic variability in terms of body weight, body measurements, and egg production. From this, we proposed a phenotypic clustering model (PCM) including six evolutionary lineages of breed formation: egg-type, meat-type, dual purpose (egg-meat and meat-egg), game, fancy, and Bantam. Estimation of genotypic variability was carried out using the analysis of five SNPs, i.e., at the level of genomic variation at the NCAPG-LCORL locus. Based on these data, two generally similar genotypic clustering models (GCM1 and GCM2) were inferred that also had several overlaps with PCM. Further research for SNPs associated with economically important traits can be instrumental in marker-assisted breeding programs
Disentangling clustering configuration intricacies for divergently selected chicken breeds
Divergently selected chicken breeds are of great interest not only from an economic point of view, but also in terms of sustaining diversity of the global poultry gene pool. In this regard, it is essential to evaluate the classification (clustering) of varied chicken breeds using methods and models based on phenotypic and genotypic breed differences. It is also important to implement new mathematical indicators and approaches. Accordingly, we set the objectives to test and improve clustering algorithms and models to discriminate between various chicken breeds. A representative portion of the global chicken gene pool including 39 different breeds was examined in terms of an integral performance index, i.e., specific egg mass yield relative to body weight of females. The generated dataset was evaluated within the traditional, phenotypic and genotypic classification/clustering models using the k-means method, inflection points clustering, and admixture analysis. The latter embraced SNP genotype datasets including a specific one focused on the performance-associated NCAPG-LCORL locus. The k-means and inflection points analyses showed certain discrepancies between the tested models/submodels and flaws in the produced cluster configurations. On the other hand, 11 core breeds were identified that were shared between the examined models and demonstrated more adequate clustering and admixture patterns. These findings will lay the foundation for future research to improve methods for clustering as well as genome- and phenomewide association/mediation analyses
Selection-driven chicken phenome and phenomenon of pectoral angle variation across different chicken phenotypes
An appreciation of the synergy between genome and phenome of poultry breed is essential for a complete understanding of their biology. Phenotypic traits are shaped under the influence of artificial, production-oriented, selection that often acts contrary to that which would occur during natural selection. In this comparative study, we analysed the phenotypic diversity of 39 chicken breeds and populations that make up a significant part of the world gene pool. Grouping patterns of breeds found within the traditional, phenotypic models of their classification/clustering required in-depth analysis using sophisticated mathematical approaches. As a result of studying performance and conformation phenotypes, a phenomenon of previously underestimated variability in pectoral angle (PA) was revealed. Moreover, patterns of PA relationship with productive traits were analysed. We propose using PA measurement as a promising new auxiliary index for selecting hens and roosters of breeding flocks in egg production improvement programs
[Genetic variation of the NCAPG-LCORL locus in chickens of local breeds based on SNP genotyping data] ΠΠ΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΈΠ·ΠΌΠ΅Π½ΡΠΈΠ²ΠΎΡΡΡ Π»ΠΎΠΊΡΡΠ° NCAPG-LCORL Ρ ΠΊΡΡ Π»ΠΎΠΊΠ°Π»ΡΠ½ΡΡ ΠΏΠΎΡΠΎΠ΄ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π΄Π°Π½Π½ΡΡ SNP-Π³Π΅Π½ΠΎΡΠΈΠΏΠΈΡΠΎΠ²Π°Π½ΠΈΡ
Using SNP analysis, genomic variation of the NCAPG-LCORL locus in chickens of 49 gene pool breeds and crossbreds from the Genetic Collection of Rare and Endangered Chicken Breeds was analyzed. Genotyping was performed using an Illumina Chicken 60K SNP iSelect BeadChip. As a result of SNP scanning, five significant SNPs were identified in the NCAPG-LCORL region in all breeds and crossbreds of the analyzed groups of chickens for GGA4. Cluster analysis of admixture models revealed a subdivision of individuals according to their origin at K = 5. Chickens of the egg and meat types formed two separate clusters, which is consistent with the results of genotype frequencies. When analyzing genetic differentiation between groups of chickens with different utility types on the basis of pairwise FST values, significant differences (p < 0.05) were found for the group of egg-type chickens in comparison with meat-type (0.330), dual purpose (meat-egg, 0.178), game (0.225 ) and dual purpose (egg-meat, 0.237) chickens, as well as for meat-type relative to fancy chickens (0.153). The results showed that the compared groups differ genetically from each other, which is confirmed by the data on genotype frequencies. The population specificity of the linkage disequilibrium structure at the NCAPG-LCORL locus was revealed for 11 chicken breeds.
Π Ρ
ΠΎΠ΄Π΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Ρ ΠΏΠΎΠΌΠΎΡΡΡ Π°Π½Π°Π»ΠΈΠ·Π° ΠΎΠ΄Π½ΠΎΠ½ΡΠΊΠ»Π΅ΠΎΡΠΈΠ΄Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ»ΠΈΠΌΠΎΡΡΠΈΠ·ΠΌΠ° (SNP) Π±ΡΠ»Π° ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π° Π³Π΅Π½ΠΎΠΌΠ½Π°Ρ ΠΈΠ·ΠΌΠ΅Π½ΡΠΈΠ²ΠΎΡΡΡ Π»ΠΎΠΊΡΡΠ° NCAPG-LCORL Ρ ΠΊΡΡ 49 Π³Π΅Π½ΠΎΡΠΎΠ½Π΄Π½ΡΡ
ΠΏΠΎΡΠΎΠ΄ ΠΈ Π³ΠΈΠ±ΡΠΈΠ΄Π½ΡΡ
ΡΠΎΡΠΌ ΠΈΠ· Β«ΠΠ΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΠΎΠ»Π»Π΅ΠΊΡΠΈΠΈ ΡΠ΅Π΄ΠΊΠΈΡ
ΠΈ ΠΈΡΡΠ΅Π·Π°ΡΡΠΈΡ
ΠΏΠΎΡΠΎΠ΄ ΠΊΡΡΒ». ΠΠ΅Π½ΠΎΡΠΈΠΏΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΡΠΈΠΏΠ° Illumina Chicken 60K SNP iSelect BeadChip. Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ SNP-ΡΠΊΠ°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Ρ Π²ΡΠ΅Ρ
ΠΏΠΎΡΠΎΠ΄ ΠΈ Π³ΠΈΠ±ΡΠΈΠ΄ΠΎΠ² Π°Π½Π°Π»ΠΈΠ·ΠΈΡΡΠ΅ΠΌΡΡ
Π³ΡΡΠΏΠΏ ΠΊΡΡ Π½Π° GGA4 Π² ΡΠ΅Π³ΠΈΠΎΠ½Π΅, Π²ΠΊΠ»ΡΡΠ°ΡΡΠ΅ΠΌ NCAPG-LCORL, ΠΈ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΡΡΠ΄ΠΎΠΌ Ρ ΡΡΠΈΠΌ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠΌ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΎ ΠΏΡΡΡ Π·Π½Π°ΡΠΈΠΌΡΡ
SNPs, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΊΠ°Π½Π΄ΠΈΠ΄Π°ΡΠ°ΠΌΠΈ Π΄Π»Ρ ΡΠ΅Π»Π΅ΠΊΡΠΈΠΈ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ² (MAS). ΠΠ»Π°ΡΡΠ΅ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· Π°Π΄ΠΌΠΈΠΊΡ-ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΎΠ±Π½Π°ΡΡΠΆΠΈΠ» ΡΠ°Π·Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΎΡΠΎΠ±Π΅ΠΉ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ ΠΈΡ
ΠΏΡΠΎΠΈΡΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡ ΠΏΡΠΈ Π=5. ΠΡΡΡ ΡΠΈΡΠ½ΠΎΠ³ΠΎ ΠΈ ΠΌΡΡΠ½ΠΎΠ³ΠΎ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π»ΠΈ Π΄Π²Π° ΠΎΠ±ΠΎΡΠΎΠ±Π»Π΅Π½Π½ΡΡ
ΠΊΠ»Π°ΡΡΠ΅ΡΠ°, ΡΡΠΎ ΡΠΎΠ³Π»Π°ΡΡΠ΅ΡΡΡ Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌΠΈ ΡΠ°ΡΡΠΎΡ Π³Π΅Π½ΠΎΡΠΈΠΏΠΎΠ². ΠΡΠΈ Π°Π½Π°Π»ΠΈΠ·Π΅ Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΠΈ ΠΌΠ΅ΠΆΠ΄Ρ Π³ΡΡΠΏΠΏΠ°ΠΌΠΈ ΠΊΡΡ ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠ³ΠΎ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΠΎΠΏΠ°ΡΠ½ΡΡ
FST-Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΠΎΡΠΌΠ΅ΡΠ΅Π½Ρ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΡΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΡ (p < 0,05) Π΄Π»Ρ Π³ΡΡΠΏΠΏΡ ΠΊΡΡ ΡΠΈΡΠ½ΠΎΠ³ΠΎ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π² ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Ρ ΠΌΡΡΠ½ΡΠΌΠΈ (0,330), ΠΌΡΡΠΎ-ΡΠΈΡΠ½ΡΠΌΠΈ (0,178), Π±ΠΎΠΉΡΠΎΠ²ΡΠΌΠΈ (0,225) ΠΈ ΡΠΈΡΠ½ΠΎ-ΠΌΡΡΠ½ΡΠΌΠΈ (0,237), Π° ΡΠ°ΠΊΠΆΠ΅ Π΄Π»Ρ ΠΊΡΡ ΠΌΡΡΠ½ΠΎΠ³ΠΎ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎ Π΄Π΅ΠΊΠΎΡΠ°ΡΠΈΠ²Π½ΡΡ
(0,153). Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, ΡΡΠΎ ΡΡΠ°Π²Π½ΠΈΠ²Π°Π΅ΠΌΡΠ΅ Π³ΡΡΠΏΠΏΡ ΠΎΡΠ»ΠΈΡΠ°ΡΡΡΡ Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈ Π΄ΡΡΠ³ ΠΎΡ Π΄ΡΡΠ³Π°, ΡΡΠΎ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π°Π΅ΡΡΡ Π΄Π°Π½Π½ΡΠΌΠΈ ΠΎ ΡΠ°ΡΡΠΎΡΠ°Ρ
Π³Π΅Π½ΠΎΡΠΈΠΏΠΎΠ². ΠΡΡΠ²Π»Π΅Π½Π° ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΎΠ½Π½Π°Ρ ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½ΠΎΡΡΡ ΡΡΡΡΠΊΡΡΡΡ Π½Π΅ΡΠ°Π²Π½ΠΎΠ²Π΅ΡΠΈΡ ΠΏΠΎ ΡΡΠ΅ΠΏΠ»Π΅Π½ΠΈΡ (LD) ΠΏΠΎ Π»ΠΎΠΊΡΡΡ NCAPG-LCORL Π΄Π»Ρ 11 ΠΏΠΎΡΠΎΠ΄ ΠΊΡΡ