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

Characterization of nonlinear effects in edge filters

A specially designed and produced edge filter with pronounced nonlinear effects is carefully characterized. The nonlinear effects are estimated at the intensities close to the laser-induced damage.Comment: 3 page

Evolution of in vitro digestibility techniques: a systematic review

The inability to reproduce certain digestive processes in vivo, high research costs and ethical aspects have led to the development of a large number of in vitro digestion models. These models allow us to take into account various factors of modeling complex multistage physiological processes occurring in the gastrointestinal tract, which makes them promising and widely used. A significant part of in vitro methods includes assessment by enzymatic digestion and are based on the calculation of nitrogen remaining after digestion in relation to the initial total nitrogen (according to the Dumas, Kjeldahl method, spectrophotometric or chromatographic method). There are also a number of titrometric methods (pH‑stat), which are mainly used to assess the digestibility of feed, most successfully for aquatic animals due to the simplicity of their digestive tract. Methods for assessing the digestibility of food products by enzymatic digestion have undergone various stages of evolution (since 1947) and have been widely modified by including various enzymes (pepsin, trypsin, pancreatin, erepsin, etc.) in model systems, indices for various products have been determined on their basis (pepsin-digest-residue (PDR) index, 1956; pepsin pancreatin digest (PPD) index, 1964; pepsin digest dialysate (PDD), 1989). As a result, a single protocol was formed to study the digestibility of food — INFOGEST (2014–2019), which includes three stages of digestion (oral, gastric and intestinal). It allows researchers to accurately reproduce the conditions of the human gastrointestinal tract and is widely used by scientists around the world

Using Worldskills Standards in Work Training

В статье представлена необходимость использования требований стандартов WORLDSKILLS при организации подготовки по профессии Сварщик в системе среднего профессионального образования.The article presents the need to use the requirements of the WORLDSKILLS standards when organizing training for the profession of a welder in the system of secondary vocational education

Implementation of Elements of Worldskills Standards in the Process of Learning Practice in the Development of the Work Profession

В статье представлена необходимость внедрения стандартов WorldSkills при организации учебной практики по профессии сварщик в системе среднего профессионального образования.The article presents the need for the implementation of WorldSkills standards in the organization of training practice in the profession of welder in the system of secondary vocational education

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