Integration of technical knowledge as a way of forming of professional competence of students of technical university

The article describes ways and methods of improving the quality of graduation in Oil and Gas Engineering by means of implementation of the competence building approach within the modernization of the content of professional education. The article proves the expediency of use of the activity approach in formation of professional competence of students of technical University and the experience of implementing this approach. The author emphasizes the importance of the discipline of mathematics in its function as the basis of professional education and pays special attention to the determination of the types of competences and the formation of general professional skills of bachelors. The article deals with the basic concepts of the «task» and the author's understanding of the term «task». The author presented the experience of the development of practice - oriented tasks for students of technical University. The article also considers the experience of implementation of this technology at studying mathematics at the Petroleum Technological University in compliance with the requirements of the third generation standards. The technology of professional competences formation is offered. Special attention is paid to the technology of formation of professional competence of students of technical University. In this article, stages of organization of the study process at implementation of the technology of the problem-based approach in the education are provided. Specific examples are considered methods of organizing the formation of professional competences. The author reveals the subject matter of a mathematical problem in its function as the basic means of competence formation with the students of technical higher education institutions shows the relevance of treatment in learning process task approach and suggests specific methodology for forming key competences through solving technological problems

Application of percolation theory to the Bavly region

В работе проведено теоретическое исследование того, как в Бавлинском районе используется перколяционный кластер.In this paper, held a theoretical study of what Bavlinsky district forms a percolation cluster

Method nomogram hydrocarbon resource base

На примере нефтяных и газовых объектов в пределах территории Татарстана и Башкортостана рассмотрены результаты, проведенные методом номограмм для определения эффективности ресурсной базы углеводородного сырья от геолого-промысловых исследований.On the example of oil and gas, facilities within the territory of Tatarstan and Bashkortostan reviewed the results conducted by the nomogram for determining the efficiency of the hydrocarbon resource base of geological field research

Spurious correlation

В статье рассматривается явление ложной корреляции на примере изменения стоимости дизельного топлива и температуры воздуха в определенный момент времени. Просматривается зависимость изменения стоимости литра топлива от температуры воздуха в период времени с 28 января по 10 февраля 2014 года. В результате расчетов выявлена статистическая зависимость между стоимостью топлива и температуры воздуха.This article discusses the phenomenon of false correlations as an example of changes in value of diesel fuel and the air temperature at a certain time. Browsing the dependence of the cost of a liter of fuel to air temperature in the period from January 28 to February 10, 2014. The calculations revealed a statistical relationship between the cost of fuel and air temperature

AGTR2 and sprint/power performance: a case-control replication study for rs11091046 polymorphism in two ethnicities

We aimed to replicate, in a specific athletic event cohort (only track and field) and in two different ethnicities (Japanese and East European, i.e. Russian and Polish), original findings showing the association of the angiotensin-II receptor type-2 gene (AGTR2) rs11091046 A>C polymorphism with athlete status. We compared genotypic frequencies of the AGTR2 rs11091046 polymorphism among 282 track and field sprint/ power athletes (200 men and 82 women), including several national record holders and Olympic medallists (214 Japanese, 68 Russian and Polish), and 2024 control subjects (842 men and 1182 women) (804 Japanese, 1220 Russian and Polish). In men, a meta-analysis from the two combined cohorts showed a significantly higher frequency of the C allele in athletes than in controls (odds ratio: 1.62, P=0.008, heterogeneity index I 2 =0%). With regard to respective cohorts, C allele frequency was higher in Japanese male athletes than in controls (67.7% vs. 55.9%, P=0.022), but not in Russian/Polish male athletes (61.9% vs. 51.0%, P=0.172). In women, no significant results were obtained by meta-analysis for the two cohorts combination (P=0.850). The AC genotype frequency was significantly higher in Russian/Polish women athletes than in controls (69.2% vs. 42.1%, P=0.022), but not in Japanese women athletes (P=0.226). Our results, in contrast to previous findings, suggested by meta-analysis that the C allele of the AGTR2 rs11091046 polymorphism is associated with sprint/ power track and field athlete status in men, but not in women

KIBRA gene variant is associated with ability in chess and science

The kidney and brain expressed protein (KIBRA) plays an important role in synaptic plasticity. Carriers of the T allele of the KIBRA (WWC1) gene rs17070145 C/T polymorphism have been reported to have enhanced spatial ability and to outperform individuals with the CC genotype in working memory tasks. Since ability in chess and science is directly related to spatial ability and working memory, we hypothesized that the KIBRA T allele would be positively associated with chess player status and PhD status in science. We tested this hypothesis in a study involving 2479 individuals (194 chess players, 119 PhD degree holders in STEM fields, and 2166 controls; 1417 males and 1062 females) from three ethnicities (236 Kazakhs, 1583 Russians, 660 Tatars). We found that frequencies of the T allele were significantly higher in Kazakh (66.9 vs. 55.1%; p = 0.024), Russian (44.8 vs. 32.0%; p = 0.0027), and Tatar (51.5 vs. 41.8%; p = 0.035) chess players compared with ethnically matched controls (meta-analysis for CT/TT vs. CC: OR = 2.05, p = 0.0001). In addition, none of the international chess grandmasters (ranked among the 80 best chess players in the world) were carriers of the CC genotype (0 vs. 46.3%; OR = 16.4, p = 0.005). Furthermore, Russian and Tatar PhD holders had a significantly higher frequency of CT/TT genotypes compared with controls (meta-analysis: OR = 1.71, p = 0.009). Overall, this is the first study to provide comprehensive evidence that the rs17070145 C/T polymorphism of the KIBRA gene may be associated with ability in chess and science, with the T allele exerting a beneficial effect

Athlome Project Consortium: a concerted effort to discover genomic and other "omic" markers of athletic performance.

Despite numerous attempts to discover genetic variants associated with elite athletic performance, injury predisposition, and elite/world-class athletic status, there has been limited progress to date. Past reliance on candidate gene studies predominantly focusing on genotyping a limited number of single nucleotide polymorphisms or the insertion/deletion variants in small, often heterogeneous cohorts (i.e., made up of athletes of quite different sport specialties) have not generated the kind of results that could offer solid opportunities to bridge the gap between basic research in exercise sciences and deliverables in biomedicine. A retrospective view of genetic association studies with complex disease traits indicates that transition to hypothesis-free genome-wide approaches will be more fruitful. In studies of complex disease, it is well recognized that the magnitude of genetic association is often smaller than initially anticipated, and, as such, large sample sizes are required to identify the gene effects robustly. A symposium was held in Athens and on the Greek island of Santorini from 14-17 May 2015 to review the main findings in exercise genetics and genomics and to explore promising trends and possibilities. The symposium also offered a forum for the development of a position stand (the Santorini Declaration). Among the participants, many were involved in ongoing collaborative studies (e.g., ELITE, GAMES, Gene SMART, GENESIS, and POWERGENE). A consensus emerged among participants that it would be advantageous to bring together all current studies and those recently launched into one new large collaborative initiative, which was subsequently named the Athlome Project Consortium

Multiple correlation-regression analysis of the impact of major factors on oil production

This article discusses the multiple regression analysis techniques to determine the effectiveness of the factors used. The study examines the various relationships between the elements. It is important to identify which factor will be the most important when selecting wells to determine the amount of oil recovery. Nowadays, the most important problem in the fields of Tatarstan and Bashkortostan is the depletion of deposits. To maintain the profitability of mining companies, therefore, the issue of preparing new reserves remains relevant. This process involves high costs and risks. For a more reliable picture, it is crucial to determine the most relevant factors. The use of the triad of studies proposed by the authors makes it possible to more reliably determine the effectiveness of oil companies. The initial data are direct measurements and methods of mathematical statistics that allow more accurate predictions. Statistical analysis made it possible to identify the parameters on which the effectiveness of the factors depends. In domestic practice, the assessment of resources and reserves of hydrocarbons is usually made by deterministic methods, while abroad the statistical method is used. When studying the relationships between objects, the analyst should be interested not only in the presence and quantitative assessment of the relations but also in the form and relationship of the effective and factor characteristics, its analytical expression. Correlation and regression analysis help to solve these problems. Correlation analysis aims to measure the tightness of the relationship between the varying variables and to evaluate the factors that have the greatest impact on the resulting trait. Regression analysis is designed to select the form of the relationship, to determine the calculated values of the dependent variable (the effective feature) [1]. For the factor analysis, we used data on the oil industry published in the annual statistical collections of Rosstat, as well as specialized periodicals for ten years