Identification of parameters of power transformer models using artificial intelligence methods

A large number of tasks for analyzing the state of power transformers are solved on the basis of mathematical models, the validity of which is undeniable. The disadvantage of standard methods for diagnosing current-carrying parts of transformers is the requirement to remove voltage. The applied diagnostic methods without stress relief require improvement in terms of increasing accuracy, speed and ensuring predictive response. The paper presents methods for identifying the parameters of mathematical models of power transformers using artificial neural networks

Corpora as open educational resources for language teaching

Corpora, large electronic collections of texts, have been used in language teaching for several decades. Also known as Data‐Driven Learning (DDL), this method has been gaining popularity because empirical research has consistently shown its effectiveness for learning. However, corpora are still underutilized, especially with learners of languages other than English, at lower proficiency levels, and in non‐university contexts. This is regrettable because DDL has a great potential for developing modular flipped content, especially for hybrid, remote, and online courses. This article first provides an overview of DDL applications and findings of empirical research. Next, it outlines obstacles to wider DDL implementation as well as available and possible solutions. Corpus user guides and exercise collections tied to specific corpora are discussed as one promising direction, and an example of such new open educational resources for teaching German is presented. The article concludes with a discussion of implications and future directions

The ways to improve the energy conversion efficiency in erbium-doped Gd 2 O 3 nanoparticles

The basic requirements for the crystal lattice and defectiveness of Gd 2 O 3 matrix as well as for the concentration of Er 3+ dopants to achieve the enhanced parameters of energy conversion in Gd 2 O 3 :Er nanoparticles are summarized. The obtained data allow to optimize and improve the functional characteristics of Gd 2 O 3 :Er-based down-conversion layers applying in solar cells. © 2018 Institute of Physics Publishing. All rights reserved.The work has been funded by the Ministry of Education and Science of the Russian Federation (Government task №3.1485.2017/4.6)

Professional satisfaction of prospects for the first year of independent pharmaceutical activity

The article considers the attitudes of graduates to the specialty of the pharmacist, describes the factors of motivation in choosing a profession, substantiates the sustainability of professional choice, and considers the satisfaction of graduates in the specialty and the quality of education at the universityВ статье рассмотрено отношения выпускников к специальности провизора, описаны факторы мотивации при выборе профессии, обоснована устойчивость профессионального выбора, а также рассмотрена удовлетворённость выпускников специальности качеством образования в университете

Prospects of implementing integrated information systems in the preferential drug provision of patients with copd on the territory of Sverdlovsk region

Analysis of prospects of implementation and functionality of information systems in preferential drug provision, a review of the regulatory framework in the system of preferential provision of medicines.Анализ перспективы внедрения и функциональных возможностей информационных систем в льготном лекарственном обеспечении, обзор нормативной базы в системе льготного лекарственного обеспечения

Digitalization of Energy: from Process Automation to Digital Transformation of the Industry

В данной статье поднимается важный и актуальный на сегодняшний день вопрос - цифровизация энергетики. В данной работе подробно разобраны те отрасли топливо-энергетического комплекса, в которых уже происходит активное внедрение цифровых и интеллектуальных технологий. Перечислен ряд нововведений, который уже используется в энергетике России. Выделены основные недостатки цифровизации.This article raises an important and relevant issue today - the digitalization of energy. In this paper, we analyze in detail those sectors of the fuel and energy complex in which there is already an active introduction of digital and intelligent technologies. A number of innovations that are already being used in the Russian energy sector are listed. The main disadvantages of digitalization are highlighted

OPTICAL PROPERTIES OF SOLID SOLUTIONS Gd2O3-Y2O3

In this paper, the role of the quantitative composition of solid solutions of Gd2O3-Y2O3 in the formation of the luminescent properties of Gd3+ ions was investigated by optical spec-troscopy. The main goal was to study the luminescence behavior of Gd2O3-Y2O3 under various types of excitation. Samples of Gd2O3-Y2O3 nanoparticles with different compositions were obtained by chemical precipitation from hydroalcoholic solutions

ВОЗМОЖНОСТИ КОМПЛЕКСНОГО УЛЬТРАЗВУКОВОГО ИССЛЕДОВАНИЯ В ДООПЕРАЦИОННОМ СТАДИРОВАНИИ ДИССЕМИНИРОВАННОГО РАКА ЯИЧНИКОВ

The aim of the study was to compare the efficacy of the optimized ultrasound technique with the use of additional methods (change in the patient’s body position, forced type of breath and abdominal scanning with high-frequency probes) for assessing the preoperative staging in 47 patients with primary epithelial ovarian cancer. It was shown that the optimized ultrasound technique, especially in cases with low-volume ascites, allowed improvement in preoperative staging of ovarian cancer, with sensitivity of 87%. Проведена сравнительная оценка эффективности разработанной оптимизированной методики УЗИ с применением дополнительных приёмов (с переменой положения тела пациентки, с форсированным типом дыхания и сканированием брюшной полости линейным датчиком высоких частот) в оценке дооперационного стадирования у 47 больных с первичным диагнозом эпителиального рака яичников. Показано, что оптимизированная методика УЗИ, особенно при минимальном количестве асцитической жидкости, позволяет с чувствительностью метода 87 % повысить эффективность дооперационного стадирования рака яичнико

Assessment of Seroprevalence to SARS-CoV-2 in Various Population Cohorts Using Logit Regression Models During Initial Period of Herd Immunity Formation

The aim of the study was to assess the dynamics of seroprevalence to SARS-CoV-2 in various population groups during the initial period of herd immunity formation based on multivariate analysis using logit regression models.Materials and methods. The study involved 1561 individuals divided into three population cohorts: people living with HIV/AIDS (PLHA), healthy blood donors, medical workers. The presence of antibodies to SARS-CoV-2 was determined in blood serum through ELISA using commercial reagent kits. Multivariate analysis of the dynamics of seroprevalence to SARS-CoV-2 was carried out using logistic regression models.Results and discussion. It has been revealed that probability of detecting IgG antibodies to SARS-CoV-2 significantly increased among the donors and medical workers in the spring-autumn 2020 series (p=0.005 и p<0.001, respectively), which corresponds to seroprevalence shift in the general population. Groups of donors and medical workers can be considered as indicator groups that characterize the herd immunity in reference to SARS-CoV-2, as well as the intensity of COVID-19 epidemic process. Seroprevalence to SARS-CoV-2 in PLHA group was at a consistently high level throughout the observation period. The generated logistic regression models made it possible to determine the trends in the development of the epidemic situation based on multifactorial analysis of the dynamics of seroprevalence to SARS-CoV-2