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

Erratum to: Plasma and saliva miR-21 expression in colorectal cancer patients

Erratum to: J Appl Genetics DOI:10.1007/s13353-016-0379-9 The Acknowledgement section in the original version is missing. Given in the following is the complete acknowledgement statement. Acknowledgements Michael N. Romanov is supported by a grant of the Government of Russian Federation (Contract No. 14.W03.31.0013)

Tuberculosis in HIV-infected children in Europe, Thailand and Brazil: paediatric TB-HIV EuroCoord study

SETTING: Centres participating in the Paediatric European Network for Treatment of AIDS (PENTA), including Thailand and Brazil. OBJECTIVE: To describe the incidence, presentation, treatment and treatment outcomes of tuberculosis (TB) in human immunodeficiency virus (HIV) infected children. DESIGN: Observational study of TB diagnosed in HIV-infected children in 2011–2013. RESULTS: Of 4265 children aged <16 years, 127 (3%) were diagnosed with TB: 6 (5%) in Western Europe, 80 (63%) in Eastern Europe, 27 (21%) in Thailand and 14 (11%) in Brazil, with estimated TB incidence rates of respectively 239, 982, 1633 and 2551 per 100 000 person-years (py). The majority (94%) had acquired HIV perinatally. The median age at TB diagnosis was 6.8 years (interquartile range 3.0–11.5). Over half (52%) had advanced/severe World Health Organization stage immunodeficiency; 67 (53%) were not on antiretroviral therapy (ART) at TB diagnosis. Preventive anti-tuberculosis treatment was given to 23% (n = 23) of 102 children diagnosed with HIV before TB. Eleven children had unfavourable TB outcomes: 4 died, 5 did not complete treatment, 1 had recurrent TB and 1 had an unknown outcome. In univariable analysis, previous diagnosis of acquired immune-deficiency syndrome, not being virologically suppressed on ART at TB diagnosis and region (Brazil) were significantly associated with unfavourable TB outcomes. CONCLUSION: Most TB cases were from countries with high TB prevalence. The majority (91%) had favourable outcomes. Universal ART and TB prophylaxis may reduce missed opportunities for TB prevention

GRIMMIA TERETINERVIS PROBABLY INDICATES ALUMINIUM OCCURENCES IN CALCAREOUS ROCKS ON THE URALS

Community structure of saxicolous mosses is determined by chemical composition of a substrate. Substrate preferences of G. teretinervis are worth inves­tigating because this species probably grows on calcareous rocks with increased alu­minium. On the Urals, it is restricted to boxite-reach geological formations. Proportion of aluminium in its substrate sample is statistically different then in sample from other species investigated.Работа выполнена при поддержке Российского фонда фундаментальных исследований (проект № 12-04-31742)

Complications after anesthesia in gynecological practice

The article presents a comparative analysis of complications in the early postoperative period, after the use of various types of intravenous anesthesia. The study was conducted by interviewing 25 patients of gynecological hospital.В статье представлен сравнительный анализ осложнений в раннем послеоперационном периоде, после применения различных видов внутривенной анестезии. Исследование проводилось путем опроса 25 пациенток гинекологического стационара

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

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