Analysis of shared heritability in common disorders of the brain

Paroxysmal Cerebral Disorder

losif Karlovich Sukhostav — the pages of his biography

&nbsp;This article presents brief biographical information of I. K. Sukhostav. It describes his scientific and practical contribution to the control of epidemics, and to the development of sanitary health services in the Saratov region.</p

Epizootic Situation at Rabies in Saratov Region

The purpose of the study was to investigate epizootic situation at rabies in Saratov region during the period from 2000 to 2010. Materials and methods. Retrospective analysis of rabies morbidity of wild and farm animals was conducted. Results. During the reporting period an increase of animals&#039; morbidity, accompanied by extension of unfavorable settlements in case of this disease was marked. Annual rate of diseased animals is defined by seasonal activity changes of foxes. The main carriers of rabies virus in the region are foxes. Conclusion. Epizootic situation at rabies in Saratov region is evaluated as unfavorabl

The systems of intellectual management heating of objects are with processing of data from mobile sensors of temperature registration

Проанализированы современные архитектуры интеллектуальных систем управления; продемонстрированы примеры эффективного использования нейронных сетей (НС) при решении задач управления, установлены их функциональные недостатки; исследовано качество прогнозирования временных рядов на основе многослойного персептрона; предложены усовершенствованные архитектуры интеллектуальных систем управления объектами с рассредоточенными параметрами, содержащие нейросетевые блоки поддержки принятия решений и роботехнических средства мобильного сбора информации; проанализированы практические направления внедрения интеллектуальных систем управления.Проаналізовано сучасні архітектури інтелектуальних систем управління; продемонстровано приклади ефективного використання нейронних мереж (НМ) при вирішенні задач управління, встановлено їх функціональні недоліки; досліджено якість прогнозування часових рядів на основі багатошарового персептрона; запропоновано удосконалені архітектури інтелектуальних систем управління об’єктами з розосередженими параметрами, які містятьнейромережеві блоки підтримки прийняття рішеньта роботехнічні засобимобільного збору інформації; проаналізовано практичні напрямки впровадження інтелектуальних систем управління.Analyzes contemporary architecture of management systems; showcase examples of effective use of neural networks (NN) for management tasks, set their functional defects; investigated quality time series prediction based on multilayer perceptron; provides an improved architecture of intelligent facility management systems with dispersed parameters containing blocks neural network decision-support tools and robotics mobile information collection; analyzed the practical areas of implementation of management systems

Correction: Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia.

Prior to and following the publication of this article the authors noted that the complete list of authors was not included in the main article and was only present in Supplementary Table 1. The author list in the original article has now been updated to include all authors, and Supplementary Table 1 has been removed. All other supplementary files have now been updated accordingly. Furthermore, in Table 1 of this Article, the replication cohort for the row Close relative in data set, n (%) was incorrect. All values have now been corrected to 0(0%). The publishers would like to apologise for this error and the inconvenience it may have caused

Correction: Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia

Prior to and following the publication of this article the authors noted that the complete list of authors was not included in the main article and was only present in Supplementary Table 1. The author list in the original article has now been updated to include all authors, and Supplementary Table 1 has been removed. All other supplementary files have now been updated accordingly. Furthermore, in Table 1 of this Article, the replication cohort for the row Close relative in data set, n (%) was incorrect. All values have now been corrected to 0(0%). The publishers would like to apologise for this error and the inconvenience it may have caused