Innovations in the Management of Social Initiatives

Innovations in management of social initiatives are the important direction of companies’ innovative management. The methods of working out and implementing the social initiatives while being of prime practical interest are hardly familiar to Russian business. This paper describes the factors which have negative impact on the quality of these programmes and deals with the technologies of the choice of innovation directions. The stages of socially responsible programmes planning and realization are described, the methods to assess the effectiveness of programmes are given, the forms of stakeholders’ dialog in the framework of such programmes working out and implementing are revealed

Benchmarking Materials Property Prediction Methods: The Matbench Test Set and Automatminer Reference Algorithm

We present a benchmark test suite and an automated machine learning procedure for evaluating supervised machine learning (ML) models for predicting properties of inorganic bulk materials. The test suite, Matbench, is a set of 13 ML tasks that range in size from 312 to 132k samples and contain data from 10 density functional theory-derived and experimental sources. Tasks include predicting optical, thermal, electronic, thermodynamic, tensile, and elastic properties given a materials composition and/or crystal structure. The reference algorithm, Automatminer, is a highly-extensible, fully-automated ML pipeline for predicting materials properties from materials primitives (such as composition and crystal structure) without user intervention or hyperparameter tuning. We test Automatminer on the Matbench test suite and compare its predictive power with state-of-the-art crystal graph neural networks and a traditional descriptor-based Random Forest model. We find Automatminer achieves the best performance on 8 of 13 tasks in the benchmark. We also show our test suite is capable of exposing predictive advantages of each algorithm - namely, that crystal graph methods appear to outperform traditional machine learning methods given ~10^4 or greater data points. The pre-processed, ready-to-use Matbench tasks and the Automatminer source code are open source and available online (http://hackingmaterials.lbl.gov/automatminer/). We encourage evaluating new materials ML algorithms on the MatBench benchmark and comparing them against the latest version of Automatminer.Comment: Main text, supplemental inf

Возможности компьютерно-то쬬¬¬¬¬¬ографической ангиопульмонографии в диагностике тромбоэмболии легочной артерии

The purpose of this search is to evaluate diagnostic capability of CT pulmonary angiography (CTPAG) in patients with pulmonary embolism. Examination results of 45 patients with suspected pulmonary embolism provided. Pulmonary embolism symptoms and frequency of their occurrence in study group described. The modification of technical CTPAG protocol proposed for to improve visualization and to reduce radiation exposure.С целью оценки диагностических возможностей компьютерно-томографической ангиопульмонографии (КТАПГ) в выявлении тромбоэмболии легочных артерий (ТЭЛА) приведены результаты обследования 45 пациентов с подозрением на тромбоэмболию легочной артерии (ТЭЛА). Описаны компьютерно-томографические симптомы ТЭЛА и частота их встречаемости в обследуемой группе. Предложена модификация технического протокола КТАПГ, позволяющая повысить качество визуализации, снизить лучевую нагрузку

Machine learning for molecular and materials science

Here we summarize recent progress in machine learning for the chemical sciences. We outline machine-learning techniques that are suitable for addressing research questions in this domain, as well as future directions for the field. We envisage a future in which the design, synthesis, characterization and application of molecules and materials is accelerated by artificial intelligence.</p

Carbohydrate metabolism disorders in children: hyperglycemia and diabetes in pediatric practice

The article tells about the problem of diabetes in childhood and provides detailed data on morbidity across the globe and in Russia. The stages and first signs of the disease are described; the prospects for laboratory diagnostics and guidelines for the prevention of diabetes early in life are highlighted

Телекомунікаційні технології розвитку у навчанні: головні етапи розвитку

Zadorozhnaya, T. P. Telecomunication technologies in education: the main stages of formation / T. P. Zadorozhnaya, T. V. Kiselyova // Гуманіт. вісн. НУК. – Миколаїв : НУК, 2014. – Вип. 7. – С. 8–10.The emergence of telecommunication technologies in education has been analyzed from the point of view of the historical development of learning technologies. Great attention is paid to the specific features of learning technologies at each historical stageАналізується поява терміну «телекомунікаційні технології» з точки зору історичного розвитку навчальних технологій. Значна увага приділяється вивченню особливостей навчальних технологій на кожному етапі їх історичного розвитку

Microsatellite analysis of genetic diversity in Russian and Ukrainian sheep breeds

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