Research of the Russian companies’ potential and the success factors

The article presents the results of the key factors of the chemical and petrochemical companies’ success which are in the “Expert-400” rating. This rating includes the most successful companies with highest yields, profits and efficiency. While researching, the grouping of companies according to their industry affiliation to the chemical and petrochemical industry was done. The number of companies affiliated to the selected industry rated as the best ones is 14 or 3% from the total number. One company of each form of ownership to reveal the main regularities and key success factors of the companies of the given industry are taken to be analyzed. The success factors have been identified and researching prospects in the given field have been formulated for a company of each form of ownership.peer-reviewe

GENETIC POTENTIAL OF APPLE-TREE BREEDING IN THE SOUTH OF WEST SIBERIA

The results of apple breeding in the south of West Siberia according to the main economically useful features are presented in the paper. On the basis of hybridological analysis, 30 donors and sources of high winter hardiness, 16 sources of polygenic scab resistance and 13 heterozygous sources of monogenic resistance as well as productive varietal samples for breeding for yield and high fruit quality have been selected. Brief characteristics of 34 apple varieties of Gorno-Altaisk breeding are given

Preparation of alumina nanoparticle suspensions with narrow particle size distribution

Dynamic light scattering (DLS) was applied to the study of the process of the preparing deaggregated water suspensions of alumina nanopowders with specific surface areas of 20-140 m2/g. Nanopowders were prepared by the electric explosion of wire and laser evaporation and, according to electron microscopy (TEM), consisted of nonagglomerated spherical nanoparticles with lognormal size distribution. According to DLS, nonsedimenting water suspensions of alumina nanoparticles, stabilized by sodium citrate at a 5 mM concentration, contain substantial fraction of aggregates. The dynamics of the change in the mean average size of aggregates under exhaustive ultrasound treatment of suspensions with 10 g/l concentration for 1.5-4 h by two types of ultrasonic processors was studied. It was shown that the mean average size of aggregates exponentially diminishes by 1.5-2 times and the fraction of individual particles in suspension enlarges from 45 to 85%. Sequentially centrifuging the suspension at 18000 g separates the remaining aggregates and results in suspensions of individual alumina nanoparticles. Particle size distributions in these suspensions obtained by TEM and DLS are the same within experimental error. © 2013 Pleiades Publishing, Ltd

4,4′-Dichloro-N,N′-(o-phenyl­ene)dibenzene­sulfonamide

The title compound, C18H14Cl2N2O4S2, is a diamine that is a precursor to a quinonoid bidentate redox-active ligand. The dihedral angles between the central phenyl ring and the end rings are 87.5(1) and 60.7(1)°, while the two end rings make a dihedral angle of 82.5(1)°. The crystal structure is stabilized by two weak inter­molecular N—H⋯O hydrogen bonds, as well as one intra­molecular C—H⋯O and one N—H⋯N hydrogen bond

ЗМІНА ВЛАСТИВОСТЕЙ СУХИХ МОЛОЧНИХ ПРОДУКТІВ ЗА ВІДНОВЛЕННЯ

The change of properties of dry milk canned food has been researched in the recovery process. Optimum process regimes have been found. The studies have been used dry fat–free milk and dry dessert mixes (dry mixes for ice cream and dry mixes for pudding). The possibility of using different types of solvent (fat–free milk and drinking water) has been researched in the restoration of dry milk products. Solids content in the restored product have been changed from 8,0 % to 20,0 %. The thermal stability and the course of restoration of dry milk canned food were controlled. Use of drinking water in the recovery is optimal to ensure quality of finished products. It has been established that recovery of skimmed milk (to prevent technological risks) must comply solids content of 15,0 %. Organoleptic and physico–chemical parameters become stable for 30–60 minutes for dry dessert mixes; 60–90 minutes – for dry fat–free milk during the recovery of mixes. The densities of the recovered mixes were 1100±4 kg/m3 – for dry mixes for ice cream; 1091±3 kg/m3 – for pudding; 1033±3 kg/m3 – for dry fat–free milk. Dynamic viscosities were 78,1±0.1; 71,3±0.1; 1,6±0,1 Pa∙s∙10–3respectively.Исследовано изменение свойств молочных консервов в процессе восстановления и определены оптимальные режимы процесса. Для анализа были использованы сухое обезжиренное молоко и сухие смеси десертного назначения (сухие смеси для мороженого и сухие смеси для пудинга). Исследована возможность использования различных видов растворителя: обезжиренного молока и воды питьевой – в процессе восстановления сухих консервов. В восстановленном продукте изменяли содержание сухих веществ от 8,0 до 20,0 %. Контролировали термостойкость полученных восстановленных смесей и ход их восстановления. Для обеспечения стабильного качества готовых продуктов оптимальным есть использование для восстановления питьевой воды. Установлено, что восстановление сухого обезжиренного молока для предотвращения технологических рисков целесообразно проводить до содержания сухих веществ в восстановленной смеси 15,0 %. Обнаружено, что восстановленные смеси приобретают стабильные значения органолептических и физико–химических показателей за 30–60 минут для сухих десертных смесей и за 60–90 минут – для сухого обезжиренного молока. Плотность восстановленных смесей составляла 1100±4 кг/м3 – в сухой смеси для мороженого; 1091±3 кг/м3– для пудинга; 1033±3 кг/м3– для сухого обезжиренного молока. Динамическая вязкость составляла 78,1±0,1; 71,3±0,1; 1,6±0,1 Па∙с∙10–3 соответственно.Досліджено зміну властивостей молочних консервів у процесі відновлення та визначено оптимальні режими процесу. У дослідженнях використано сухе знежирене молоко та сухі суміші десертного призначення (сухі суміші для морозива та сухі суміші для пудингу). Досліджено можливість використання різних видів розчинника: знежиреного молока та води питної – у процесі відновлення сухих консервів. Змінювали вміст сухих речовин (від 8,0 до 20, 0 %) у відновленому продукті. Контролювали термостійкість отриманих відновлених сумішей та перебіг їх відновлення. Для забезпечення стабільної якості готових продуктів оптимальним у відновленні є використання питної води. Встановлено, що відновлення сухого знежиреного молока для запобігання технологічних ризиків доцільно проводити до вмісту сухих речовин у відновленій суміші 15,0 %. Дослідження перебігу відновлення виявили, що відновлені суміші набувають стабільних значень органолептичних та фізико–хімічних показників за 30–60 хвилин для сухих сумішей десертного призначення та за 60–90 хвилин – для сухого знежиреного молока. Густина відновлених сумішей становила: 1100±4 кг/м3 – в сухій суміші для морозива; 1091±3 кг/м3 – для пудингу; 1033±3 кг/м3– для сухого знежиреного молока. Динамічна в’язкість становила 78,1±0,1; 71,3±0,1; 1,6±0,1 Па∙с∙10–3 відповідно. &nbsp

New aspects of the influence of immunity and microbiome on heart transplant rejection

Currently, heart transplantation is the key treatment for patients with end-stage heart failure. At the same time, the immunopathogenesis of chronic allograft rejection, which is a key factor in the long-term outcome, is still poorly understood, which, in turn, explains the absence of effective non-invasive methods for its detection. This review discusses up-to-date aspects of the interaction between the microbiota and immune system factors leading to inflammation and T-cell polarization, and their participation in heart transplant rejection. Special attention is paid to the role of microvesicles in immune response modulation within heart transplant rejection

Adaptive forecasting and financial risk estimation

The study is directed towards development of an adaptive decision support system for modeling and forecasting nonlinear nonstationary processes in economy, finances and other areas of human activities. The structure and parameter adaptation procedures for the regression and probabilistic models are proposed as well as the respective information system architecture and functional layout are developed. The system development is based on the system analysis principles such as adaptive model structure estimation, optimization of model parameter estimation procedures, identification and taking into consideration of possible uncertainties met in the process of data processing and mathematical model development. The uncertainties are inherent to data collecting, model constructing and forecasting procedures and play a role of negative influence factors to the information system computational procedures. Reduction of their influence is favourable for enhancing the quality of intermediate and final results of computations. The illustrative examples of practical application of the system developed proving the system functionality are provided

STITCH 3: zooming in on protein–chemical interactions

To facilitate the study of interactions between proteins and chemicals, we have created STITCH, an aggregated database of interactions connecting over 300 000 chemicals and 2.6 million proteins from 1133 organisms. Compared to the previous version, the number of chemicals with interactions and the number of high-confidence interactions both increase 4-fold. The database can be accessed interactively through a web interface, displaying interactions in an integrated network view. It is also available for computational studies through downloadable files and an API. As an extension in the current version, we offer the option to switch between two levels of detail, namely whether stereoisomers of a given compound are shown as a merged entity or as separate entities. Separate display of stereoisomers is necessary, for example, for carbohydrates and chiral drugs. Combining the isomers increases the coverage, as interaction databases and publications found through text mining will often refer to compounds without specifying the stereoisomer. The database is accessible at http://stitch.embl.de/