MIGRATION ACTIVITY OF THE POPULATION IN RUSSIA: ANALYSIS OF THE EXISTING INFORMATION BASE

2018 ◽  
Author(s):  
Leysan Davletshina
Keyword(s):  
Migration Activity ◽  
Information Base

FORECASTING MIGRATION FLOWS USING PREDICTIVE ANALYTICS

2020 ◽  
pp. 45-54
Author(s):  
Yulia V. Paukova ◽  
◽  
Konstantin V. Popov ◽  
Keyword(s):  
Information Technologies ◽  
Predictive Analytics ◽  
Migration Policy ◽  
Modern World ◽  
Migration Activity ◽  
Wide Range ◽  
Future Events ◽  
The Russian Federation ◽  
Migration Flows ◽  
Develop State

The present article considers the need to predict migration flows using Predictive Analytics. The Russian Federation is a center of migration activity. The modern world is changing rapidly. An effective migration policy requires effective monitoring of migration flows, assessing the current situation in our and other countries and forecasting migration processes. There are information systems in Russia that contain a wide range of information about foreign citizens and stateless persons that provide the requested information about specific foreign citizens, including grouping it on various grounds. However, it is not possible to analyze and predict it automatically using thousands of parameters. Special attention in Russia is paid to digitalization. Using information technologies (artificial intelligence, machine learning and big data analysis) to forecast migration flows in conditions of variability of future events will allow to take into account a number of events and most accurately predict the quantitative and so-called "qualitative" structure of arrivals. The received information will help to develop state policy and to take appropriate measures in the field of migration regulation. The authors come to the conclusion that it is necessary to amend existing legal acts in order to implement information technologies of Predictive Analytics into the practice of migration authorities.

scholarly journals Progression and Differentiation of Alveolar Rhabdomyosarcoma Is Regulated by PAX7 Transcription Factor—Significance of Tumor Subclones

Cells ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1870
Author(s):  
Klaudia Skrzypek ◽  
Grażyna Adamek ◽  
Marta Kot ◽  
Bogna Badyra ◽  
Marcin Majka
Keyword(s):  
Transcription Factor ◽  
Cell Lines ◽  
Migration Activity ◽  
Id Proteins ◽  
Rh30 Cell ◽  
Str Profile ◽  
And Migration

Rhabdomyosarcoma (RMS), is the most frequent soft tissue tumor in children that originates from disturbances in differentiation process. Mechanisms leading to the development of RMS are still poorly understood. Therefore, by analysis of two RMS RH30 cell line subclones, one subclone PAX7 negative, while the second one PAX7 positive, and comparison with other RMS cell lines we aimed at identifying new mechanisms crucial for RMS progression. RH30 subclones were characterized by the same STR profile, but different morphology, rate of proliferation, migration activity and chemotactic abilities in vitro, as well as differences in tumor morphology and growth in vivo. Our analysis indicated a different level of expression of adhesion molecules (e.g., from VLA and ICAM families), myogenic microRNAs, such as miR-206 and transcription factors, such as MYOD, MYOG, SIX1, and ID. Silencing of PAX7 transcription factor with siRNA confirmed the crucial role of PAX7 transcription factor in proliferation, differentiation and migration of RMS cells. To conclude, our results suggest that tumor cell lines with the same STR profile can produce subclones that differ in many features and indicate crucial roles of PAX7 and ID proteins in the development of RMS.

Structuring the Information Base on Production Losses in the Conditions of Effective Production Management

2019 ◽  
pp. 169-176
Author(s):  
Viktor P. Kuznetsov ◽  
Igor E. Mizikovsky ◽  
Ekaterina P. Garina ◽  
Elena V. Romanovskaya ◽  
Natalia S. Andryashina
Keyword(s):  
Production Management ◽  
Information Base ◽  
Production Losses
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