Special competence in the structure of vocational pedagogical integrity in the sphere of vocational education

The significance of the issue under study lies in research of the subject matter, character and components of special competences, as well as defining feasible ways of their formation in the framework of a higher vocational pedagogical institution. The article is aimed at providing the rationale for necessary formation of special competences in education for vocational teachers with implementation of Vocational and Federal State Education Standards. The main method of studying the given issue consists in pedagogical modeling of educational procedures for vocational teachers which allows it to outline the formation process of a special competence in learning specialist disciplines after determining its structure and contents. It was deemed necessary and proved to form special competence in education of future vocational teachers. The process of special training was structured with relevant amendments and supplements to its contents. On the top of it, this process of was accompanied by specially designed learning and teaching materials. The contents of the article could be of interest for graduate students and postgraduates as well as teachers who are involved in working on educational projects for vocational teachers. © Authors

THE CLUSTER APPROACH TO INNOVATION AND TECHNOLOGICAL DEVELOPMENT OF RUSSIA AND UKRAINE: METHODOLOGICAL AND ORGANIZATIONAL ISSUES

The methodical and organizational problems of the cluster approach to economic development. Notes a number of important conditions and signs of cluster formation: innovation, competitiveness, voluntary, mutually beneficial participation in the cluster. The problems of the formation of clusters in Russia and Ukraine. The problems of the formation and management of shared cluster Russia and Ukraine

Modern issues of sugar beet (<i>Beta vulgaris</i> L.) hybrid breeding

High efficiency of the cultivation of unfertilized sugar beet ovules and preparation of haploid regenerants (microclones) of pollinators – maintainers of О-type sterility and MS forms of the RMS 120 hybrid components has been shown. A technological method that accelerates the creation of new uniform starting material is proposed. It speeds up the breeding process two to threefold. The identification of haploid regenerants with sterile cytoplasm in initial populations is of great theoretical and practical importance for breeding, as it facilitates the production of homozygous lines with cytoplasmic male sterility and high-performance hybrids on sterile basis. As shown by molecular analysis, a single-nucleotide polymorphism never reported hitherto is present in the mitochondrial genome of the haploid plant regenerants. It allows identification of microclones as fertile and sterile forms. It has been found that DNA markers of the sugar beet mitochondrial genome belonging to the TR minisatellite family (TR1 and TR3) enable reliable enough identification of haploid microclonal plants as MSor O-type forms. Fragments of 1000 bp in length have been detected in monogenic forms in the analysis of 11 sugar beet plants cultured in vitro by PCR with the OP-S4 random RAPD primer. Testing of the OP-S4 marker’s being in the same linkage group as the genes responsible for expression of the economically valuable trait monogermity demonstrates its relative reliability. By the proposed method, dihaploid lines (DH) of the male-sterile form and the О-type sterility maintainer of the RMS 120 sugar beet hybrid have been obtained in in vitro culture. These lines are highly uniform in biomorphological traits, as proven under field conditions

КЛАСТЕРНЫЙ ПОДХОД К ИННОВАЦИОННОТЕХНОЛОГИЧЕСКОМУ РАЗВИТИЮ РОССИИ И УКРАИНЫ: методические и организационные вопросы

The methodical and organizational problems of the cluster approach to economic development. Notes a number of important conditions and signs of cluster formation: innovation, competitiveness, voluntary, mutually beneficial participation in the cluster. The problems of the formation of clusters inRussiaandUkraine. The problems of the formation and management of shared clusterRussiaandUkraineРассматриваются методические и организационные проблемы кластерного подхода к экономическому развитию. Отмечается ряд важных условий и признаков формирования кластера: инновационность, конкурентоспособность, добровольность, взаимовыгодность участия в кластере. Рассмотрены проблемы формирования кластеров в России и Украине. Исследуются проблемы образования и управления совместными кластерами России и Украин

КЛАСТЕРНЫЙ ПОДХОД К ИННОВАЦИОННО- ТЕХНОЛОГИЧЕСКОМУ РАЗВИТИЮ РОССИИ И УКРАИНЫ: МЕТОДИЧЕСКИЕ И ОРГАНИЗАЦИОННЫЕ ВОПРОСЫ

The methodical and organizational problems of the cluster approach to economic development. Notes a number of important conditions and signs of cluster formation: innovation, competitiveness, voluntary, mutually beneficial participation in the cluster. The problems of the formation of clusters in Russia and Ukraine. The problems of the formation and management of shared cluster Russia and Ukraine.Рассматриваются методические и организационные проблемы кластерного  подхода к экономическому развитию. Отмечается ряд важных условий и признаков формирования кластера: инновационность, конкурентоспособность, добровольность,  взаимовыгодность участия в кластере. Рассмотрены проблемы формирования кластеров в России и Украине. Исследуются проблемы образования и управления совместными кластерами России и Украины

ВЛИЯНИЕ АВТОЛИЗА НА ПРОТЕОМНО-ПЕПТИДНЫЙ ПРОФИЛЬ СЕРДЕЧНОЙ МЫШЦЫ И АОРТЫ Bos taurus и Sus scrofa

The article presents the results of autolytic processes impact on the protein-peptide profile of Bos taurus and Sus scrofa cardiac muscle and aorta. The results of tissue-specific protein identification are also presented as well as the effect of autolysis. Apolipoprotein A-1 involved in the formation of high-density lipoproteins, peroxiredoxin-1 involved in the suppression of oxidative stress, galectin-1 induced apoptosis of T-lymphocytes, as well as number of heat shock proteins with molecular weight less than 30 kDa were identified in Sus scrofa aorta tissue. It was discovered that functional proteins with molecular weight less than 30 kDa are retained during the freezing process, but destroyed under the action of autolytic enzymes. This work was supported by the Russian Science Foundation (project No. 16–16–10073).В статье представлены результаты изучения влияния автолитических процессов на белково-пептидный состав сердечной мышцы и аорты Bos taurus и Sus scrofa, приведены результаты идентификации тканеспецифичных белковых молекул и влияние автолиза на их сохранность. В тканях аорты Sus scrofa были обнаружены аполипопротеин А-1, участвующий в образовании липопротеинов высокой плотности, пероксиредоксин-1, участвующий в подавлении окислительного стресса, галектин-1, индуцирующий апоптоз Т-лимфоцитов, а также ряд белков теплового шока, имеющих молекулярную массу менее 30 кДа. Было установлено, что функциональные белковые вещества с  молекулярной массой менее 30 кДа сохраняются в процессе заморозки, но разрушаются под действием ферментов сырья при автолизе. Исследование выполнено за счет гранта Российского научного фонда (проект №16–16–10073)

MOOD 2020: A public Benchmark for Out-of-Distribution Detection and Localization on medical Images

Detecting Out-of-Distribution (OoD) data is one of the greatest challenges in safe and robust deployment of machine learning algorithms in medicine. When the algorithms encounter cases that deviate from the distribution of the training data, they often produce incorrect and over-confident predictions. OoD detection algorithms aim to catch erroneous predictions in advance by analysing the data distribution and detecting potential instances of failure. Moreover, flagging OoD cases may support human readers in identifying incidental findings. Due to the increased interest in OoD algorithms, benchmarks for different domains have recently been established. In the medical imaging domain, for which reliable predictions are often essential, an open benchmark has been missing. We introduce the Medical-Out-Of-Distribution-Analysis-Challenge (MOOD) as an open, fair, and unbiased benchmark for OoD methods in the medical imaging domain. The analysis of the submitted algorithms shows that performance has a strong positive correlation with the perceived difficulty, and that all algorithms show a high variance for different anomalies, making it yet hard to recommend them for clinical practice. We also see a strong correlation between challenge ranking and performance on a simple toy test set, indicating that this might be a valuable addition as a proxy dataset during anomaly detection algorithm development