Sources of X-radiation based on stochastic acceleration of rare plasma particles

The results of theoretical and experimental study of stochastic plasma heating are presented. The high efficiency of such heating is shown. The possibility of using such plasma as a source of X-radiation is analyzed. Such sources are compared with the closest known sources

ПОЛУЧЕНИЕ И ИССЛЕДОВАНИЕ СОСТАВА ЛЕГКОКИПЯЩИХ ФРАКЦИЙ ТЕКИЛЫ, ВИСКИ И КОНЬЯКА

Separation of ethanol-containing, i.e. the very low-boiling fraction from alcoholic beverages of several varieties (tequila, whiskey and cognac), the properties and composition of this fraction are determined. The yield of ethyl alcohol obtained by distillation has also been calculated.Проведено отделение этанол-содержащей, т.е. самой легкокипящей фракции от алкогольных напитков нескольких сортов (текила, виски и коньяк), определены свойства и состав этой фракции. Рассчитан также выход этилового спирта, получаемого при дистилляции

The ASOS Surgical Risk Calculator: development and validation of a tool for identifying African surgical patients at risk of severe postoperative complications

Background: The African Surgical Outcomes Study (ASOS) showed that surgical patients in Africa have a mortality twice the global average. Existing risk assessment tools are not valid for use in this population because the pattern of risk for poor outcomes differs from high-income countries. The objective of this study was to derive and validate a simple, preoperative risk stratification tool to identify African surgical patients at risk for in-hospital postoperative mortality and severe complications. Methods: ASOS was a 7-day prospective cohort study of adult patients undergoing surgery in Africa. The ASOS Surgical Risk Calculator was constructed with a multivariable logistic regression model for the outcome of in-hospital mortality and severe postoperative complications. The following preoperative risk factors were entered into the model; age, sex, smoking status, ASA physical status, preoperative chronic comorbid conditions, indication for surgery, urgency, severity, and type of surgery. Results: The model was derived from 8799 patients from 168 African hospitals. The composite outcome of severe postoperative complications and death occurred in 423/8799 (4.8%) patients. The ASOS Surgical Risk Calculator includes the following risk factors: age, ASA physical status, indication for surgery, urgency, severity, and type of surgery. The model showed good discrimination with an area under the receiver operating characteristic curve of 0.805 and good calibration with c-statistic corrected for optimism of 0.784. Conclusions: This simple preoperative risk calculator could be used to identify high-risk surgical patients in African hospitals and facilitate increased postoperative surveillance. © 2018 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.Medical Research Council of South Africa gran