7 research outputs found
HEURISTIC METHODS FOR SOLVING THE CREATIVE PROBLEMS
Abstract. The development of non-standard thinking helps in solving creative problems. People who think formally can not come up with anything new, thereby destroying creativity. The creative task is an excellent way of revealing the personal abilities of each person. The development of creative thinking allows people to realize their creative potential, their individuality. Heuristic methods in solving problems allow us to express creative thoughts and to activate the creative possibilities of man. Creative thinking is very closely related to the imagination, which is important in any profession. Features of creative thinking consist in the fact that it contributes to the non-standard solution of certain tasks. An unconventional thinking person is able to offer bright ideas in any field of activity, that is, creative activity generates something new, different in originality, originality, and uniqueness. The system of heuristic methods of solving problems is based on logic, sound mind and experience, and the result of all this is new significant information. When solving creative problems, various heuristic methods are used. This is a method of brainstorming, a method of heuristic questions, a method of multidimensional matrices, a method of free association, a method ofinversion, a method of empathy, a method of synectics. The work reveals the essence of each heuristic method, as well as the merits and demerits of each of them. We consider various forms of employment in heuristic ways of teaching, such as the olympiad, heuristic exercises, business games, interactive forms.Keywords: creative task, heuristic methods, methods, non-standard questions, forms
Modeling for the Spread of Water Pollution under Hydraulic Structure with a Rabbet
In industry and agriculture, along with the increasing influence of various technogenic factors on the environment, there is an important problem of protecting water resources from pollution and salinization, as well as the problem of protecting natural water bodies from pollutants. The solution of these problems essentially depends on the results of a mathematical study of the mass transfer processes of migrating substances in the filtration of groundwater. In this paper, we simulate the process of spreading water pollution under the hydraulic structure of a complex architecture. The unsteady equation of the process of mass transfer of pollutants during the filtration of groundwater was approximated by the finite difference method, while the procedure "weighting upstream" was used to approximate the convective terms. The results of calculations showed that the pollution of the downstream of a hydraulic structure depends on the number of rabbets and their location along the underground circuit. The obtained results can be used in monitoring and building predictive estimates of the migration regime of pollution under a hydraulic structure in real time
Minimum density of irrigation of the rotor of a film centrifugal heat and mass-exchange apparatus
Β© 2019 IOP Publishing Ltd. All rights reserved. For anomalous-viscous centrifugal film based on the energy and moment approaches, equations for the critical fracture radius and minimum irrigation density are obtained. Experimental results are more consistent with data from the moment approach
Minimum density of irrigation of the rotor of a film centrifugal heat and mass-exchange apparatus
Β© 2019 IOP Publishing Ltd. All rights reserved. For anomalous-viscous centrifugal film based on the energy and moment approaches, equations for the critical fracture radius and minimum irrigation density are obtained. Experimental results are more consistent with data from the moment approach
Π Π°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΠΎΡΡΡ ΠΌΡΡΠ°ΡΠΈΠΈ c.5161C>T Π³Π΅Π½Π° BRCA1 Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΎΠ½ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΠΌΠΈ ΠΈΠ· Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ ΠΠ°ΡΠΊΠΎΡΡΠΎΡΡΠ°Π½
Introduction. Despite the significant progress in investigation of genetic susceptibility to cancers, there are still unclear questions in the field of molecular epidemiology. Numerous new data obtained using modern sequencing technologies require large case/control studies in different populations.The study objective β to investigate the prevalence of BRCA1*c.5161C>T mutation in unselected breast, ovarian and prostate cancer patients from Bashkortostan.Materials and methods. In the presented study, the prevalence of the BRCA1*c.5161C>T mutation was assessed in breast cancer, ovarian cancer and prostate cancer patients (n = 696). The study cohorts includes individuals of Tatar and Bashkir ethnic origin living in Bashkortostan Republic.Results. The BRCA1 mutation c.5161C>T was detected in patients with breast cancer, ovarian cancer and prostate cancer in individuals of Tatar ethnic origin with a frequency of ~1,3 % (6/449), but not in Bashkirs. This mutation was also detected in two individuals of control group (2/700). We conclude that the contribution of the BRCA1 mutation c.5161C>T to hereditary breast, ovarian and prostate cancers, is likely to be small in Bashkortostan Republic.Conclusion. Further research will be required to investigate whether this mutation also plays a role in other populations of Turkic origin.ΠΠ²Π΅Π΄Π΅Π½ΠΈΠ΅. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΠΌΠ½ΠΎΠ³ΠΎΡΠΈΡΠ»Π΅Π½Π½ΡΡ
ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎΠΉ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ Π΄ΠΎΡΡΠΈΠ³Π½ΡΡΡ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΡΡΠΏΠ΅Ρ
ΠΈ Π² ΠΈΠ·ΡΡΠ΅Π½ΠΈΠΈ Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠ΅Π΄ΡΠ°ΡΠΏΠΎΠ»ΠΎΠΆΠ΅Π½Π½ΠΎΡΡΠΈ Π·Π»ΠΎΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
Π½ΠΎΠ²ΠΎΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠΉ, Π½ΠΎ Π΅ΡΠ΅ ΠΎΡΡΠ°Π΅ΡΡΡ ΡΡΠ΄ Π½Π΅ΡΠ΅ΡΠ΅Π½Π½ΡΡ
Π²ΠΎΠΏΡΠΎΡΠΎΠ². ΠΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΡΠ΅ΠΊΠ²Π΅Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΠΏΠΎΠ»ΡΡΠΈΡΡ Π½ΠΎΠ²ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅, ΠΊΠΎΡΠΎΡΡΠ΅ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° Ρ Π²ΠΎΠ²Π»Π΅ΡΠ΅Π½ΠΈΠ΅ΠΌ Π² ΡΠ°Π±ΠΎΡΡ Π±ΠΎΠ»ΡΡΠΈΡ
ΠΏΠΎ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΡΡ
Π³ΡΡΠΏΠΏ.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β ΠΎΡΠ΅Π½ΠΈΡΡ ΡΠ°ΡΡΠΎΡΡ ΠΌΡΡΠ°ΡΠΈΠΈ BRCA1*c.5161C>T Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΡΠ°ΠΊΠΎΠΌ ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠΉ, ΠΆΠ΅Π»Π΅Π·Ρ, ΡΠΈΡΠ½ΠΈΠΊΠΎΠ² ΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ, ΠΏΡΠΎΠΆΠΈΠ²Π°ΡΡΠΈΡ
Π² Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠ΅ ΠΠ°ΡΠΊΠΎΡΡΠΎΡΡΠ°Π½.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΠΎΠΉ ΡΡΠ°ΡΡΠ΅ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π° Π²ΡΡΡΠ΅ΡΠ°Π΅ΠΌΠΎΡΡΡ ΠΌΡΡΠ°ΡΠΈΠΈ BRCA1*c.5161C>T Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΡΠ°ΠΊΠΎΠΌ ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ, ΡΠΈΡΠ½ΠΈΠΊΠΎΠ² ΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ ΡΠ°ΡΠ°ΡΡΠΊΠΎΠΉ ΠΈ Π±Π°ΡΠΊΠΈΡΡΠΊΠΎΠΉ ΡΡΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΈΠ½Π°Π΄Π»Π΅ΠΆΠ½ΠΎΡΡΠΈ, ΠΏΡΠΎΠΆΠΈΠ²Π°ΡΡΠΈΡ
Π² Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠ΅ ΠΠ°ΡΠΊΠΎΡΡΠΎΡΡΠ°Π½ (n = 696).Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΡΠ°ΡΠΈΡ BRCA1*c.5161C>T Π²ΡΡΡΠ΅ΡΠ°Π΅ΡΡΡ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΡΠ°ΡΠ°ΡΡΠΊΠΎΠΉ ΡΡΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΈΠ½Π°Π΄Π»Π΅ΠΆΠ½ΠΎΡΡΠΈ Ρ ΡΠ°ΠΊΠΎΠΌ ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ, ΡΠΈΡΠ½ΠΈΠΊΠΎΠ² ΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ ΠΏΡΠΈΠΌΠ΅ΡΠ½ΠΎ Π² 1,3 % ΡΠ»ΡΡΠ°Π΅Π² (6/449); Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ²-Π±Π°ΡΠΊΠΈΡ ΠΎΠ½Π° Π½Π΅ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½Π°. ΠΠ°Π½Π½Π°Ρ ΠΌΡΡΠ°ΡΠΈΡ ΡΠ°ΠΊΠΆΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π° Π² ΠΊΠΎΠ½ΡΡΠΎΠ»ΡΠ½ΠΎΠΉ Π²ΡΠ±ΠΎΡΠΊΠ΅ (2/700). ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ Π½Π΅ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π°ΡΡ Π²ΡΡΠΎΠΊΡΡ ΡΠ°ΡΡΠΎΡΡ ΠΌΡΡΠ°ΡΠΈΠΈ BRCA1*c.5161C>T Ρ Π±Π°ΡΠΊΠΈΡ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π΅ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠ°ΡΡΠΎΡΡ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ Π΄Π°Π½Π½ΠΎΠ³ΠΎ Π²Π°ΡΠΈΠ°Π½ΡΠ° Π² Π΄ΡΡΠ³ΠΈΡ
ΠΏΠΎΠΏΡΠ»ΡΡΠΈΡΡ
, Π½Π°ΡΠ΅Π»ΡΡΡΠΈΡ
ΠΠΎΠ»Π³ΠΎ-Π£ΡΠ°Π»ΡΡΠΊΠΈΠΉ ΡΠ΅Π³ΠΈΠΎΠ½ Π ΠΎΡΡΠΈΠΈ