FORMATION OF QUALITY OF PRODUCTS OF SPECIALIZED PURPOSE

Satisfaction of consumers in high-quality and competitive functional products requires the fulfillment of a number of tasks for the selection of raw ingredients, technological solutions, optimization of the recipe composition, confirmation of the functional orientation, which is generally aimed at shaping the quality of the finished product. The article discusses the possibility of using flour confectionery as a functional food additive, bee bread, characterized by high biological value.Удовлетворение потребителей в качественных и конкурентоспособных продуктах функционального назначения требует выполнения ряда задач по подбору сырьевых ингредиентов, технологических решений, оптимизации рецептурного состава, подтверждении функциональной направленности, что в целом направлено на формирование качества готового продукта. В статье рассмотрена возможность использования в технологии мучных кондитерских изделий как функциональную пищевую добавку пергу, характеризующуюся высокой биологической ценностью

Two-Fluid RANS-RSTM-PDF Model for Turbulent Particulate Flows

A novel three-dimensional (3D) model based on Reynolds turbulence stress model (RSTM) closure of equations of carrier and particulate phases was elaborated for channel turbulent flows. The essence of the model is the direct calculation of normal and shear components of the Reynolds stresses for the particulate phase similar to the carrier fluid. The model is based on the Eulerian approach, which is applied for the 3D RANS modeling of the carrier flow and the particulate phase and the statistical probability dense function (PDF) approach focusing on the mathematical description of the second moments of the particulate phase

Organizational and Technical Support for Remote Work of Employees in the Conditions of Industrial Production Diversification

The article is devoted to the analysis of a very relevant topic at present: the process of transferring employees (employees) of an organization (company, firm, Department etc.) to a remote (remote) mode of operation, and thus creating a so-called virtual office. For the most part, the translation algorithm and organizational and technical support of the virtual office creation process are typical (universal). However, there is certain specificity in the organization and implementation of this process in relation to engineering organizations and high-tech industrial enterprises, due to the peculiarities of their activities in modern conditions of diversification of industrial production at the enterprises of the defense-industrial complex

Algorithm for selecting predictors and prognosis of atrial fibrillation in patients with coronary artery disease after coronary artery bypass grafting

Aim. To develop an algorithm for selecting predictors and prognosis of atrial fibrillation (AF) in patients with coronary artery disease (CAD) after coronary artery bypass grafting (CABG).Material and methods. This retrospective study included 886 case histories of patients with CAD aged 35 to 81 years (median age, 63 years; 95% confidence interval [63; 64]), who underwent isolated CABG under cardiopulmonary bypass. Eighty-five patients with prior AF were excluded from the study. Two groups of persons were identified, the first of which consisted of 153 (19,1%) patients with newly recorded AF episodes, the second — 648 (80,9%) patients without cardiac arrhythmias. Preoperative clinical and functional status was assessed using 100 factors. Chi-squared, Fisher, and Mann-Whitney tests, as well as univariate logistic regression (LR) were used for data processing and analysis. Multivariate LR and artificial neural networks (ANN) were used to develop predictive models. The boundaries of significant ranges of potential predictors were determined by stepwise assessment of the odds ratio and p-value. The model accuracy was assessed using 4 metrics: area under the ROC-curve (AUC), sensitivity, specificity, and accuracy.Results. A comprehensive analysis of preoperative status of patients made it possible to identify 11 factors with the highest predictive potential, linearly and nonlinearly associated with postoperative AF (PAF). These included age (55-74 years for men and 60-78 years for women), anteroposterior and superior-inferior left atrial dimensions, transverse and longitudinal right atrial dimensions, tricuspid valve regurgitation, left ventricular end systolic dimension >49 mm, RR length of 1000-1100 ms, PQ length of 170-210 ms, QRS length of 50-80 ms, QT >420 ms for men and >440 ms for women, and heart failure with ejection fraction of 4560%. The metrics of the best predictive ANN model were as follows: AUC — 0,75, specificity — 0,73, sensitivity — 0,74, and accuracy — 0,73. These values in best model based on multivariate LR were lower (0,75; 0,7; 0,68 and 0,7, respectively).Conclusion. The developed algorithm for selecting predictors made it possible to verify significant predictive ranges and weight coefficients characterizing their influence on PAF development. The predictive model based on ANN has a higher accuracy than multivariate HR

A methodical approach for evaluating the variability of productivity and fruit quality in the genetic collections of strawberry (Fragaria × ananassa Duch.)

For strawberry  (Fragaria × ananassa Duch., 2n = 8x = 56), which is the leading  berry crop in the world, research  into the genotype × environment interaction is important. A complicated genomic composition, the  diversity of genetic control systems, and a strong modifying effect of growing conditions on the implementation of quantitative traits make it necessary to improve  methods for analysis of the  genotypic variability of economically  valuable  traits with the  aim of identifying genotypes that  are characterized by stability and adaptive qualities in a wide ecological  range  of growing  conditions. In 2016–2018, twenty-seven strawberry  varieties were studied in the collections of North Caucasian Federal Scientific Center of Horticulture, Viticulture and Krymsk Experiment Breeding Station, VIR Branch. Field experiments and data counts  were set and carried out according to a single scheme. The following characteristics were studied: the number of inflorescences (units per plant), the number of berries (units per plant), the average  weight  of berry and berry of the first order (g), total and marketable yield (g per plant), firmness of fruit (g), sugar content in berries on Degrees  Brix (°Bx), sugar-acid  index. The purpose of this work was the development of a methodical approach to assessing the contribution of the genotype– environment interaction to the variability of the traits of productivity and fruit quality and the determination of strawberry varieties with a stable  genotype. To this end, the mathematical models  of two- and three-factor analysis of variance and cluster  analysis using Ward’s method were employed. According to the  results  of this work, strawberry  varieties grown in different  climatic conditions show  differences  in the  structure of the  variability of the  traits of productivity and  fruit quality. For the conditions of the city of Krymsk, the influence  of the genotype of the variety was predominant, and for the  conditions of the  city of Krasnodar, in addition  to the  influence  of the  genotype of the  variety, the  environmental component in the form of the genotype–environment interaction is also significant. A statistically significant influence of the growing  zone has been  established for the traits of productivity and fruit quality, with the exception of the average weight of fruit. At the same time, differences in the mean values of the traits of varieties can be both significant and partially or completely absent. To identify varieties with promise for cultivation in the areas studied, it is recommended to use cluster analysis on the informative complex of traits with the calculation  of the Euclidean distances for varieties that were grown under  different  conditions. The magnitude of the Euclidean distance  will be the measure of the influence  of a particular environment on the  genotype of plants. The smaller the  value of the  Euclidean distance  in a variety, according to the complex of the traits studied, the more stable this variety is

INCREASING THE ENERGY INDICATORS OF CCGT UNITS IN SUMMER USING LITHIUM-BROMIDE REFRIGERATING MACHINE

The analysis of the modes of operation of CCGT‑230 in the summer operational period. It is shown that by cooling the air in front of the GTP compressor using ABCM, it is possible to maintain the calculated energy characteristics of the combined-cycle gas plant regardless of the outdoor air temperature.Проведен анализ режимов работы ПГУ‑230 в летний эксплуатационный период. Показано, что за счет охлаждения воздуха перед компрессором газотурбинной установки (ГТУ) с помощью абсорбционной бромистолитиевой холодильной машины (АБХМ) возможно поддержание расчетных энергетических характеристик парогазовой установки независимо от температуры наружного воздуха

Isolation, characterization and molecular cloning of Duplex-Specific Nuclease from the hepatopancreas of the Kamchatka crab

<p>Abstract</p> <p>Background</p> <p>Nucleases, which are key components of biologically diverse processes such as DNA replication, repair and recombination, antiviral defense, apoptosis and digestion, have revolutionized the field of molecular biology. Indeed many standard molecular strategies, including molecular cloning, studies of DNA-protein interactions, and analysis of nucleic acid structures, would be virtually impossible without these versatile enzymes. The discovery of nucleases with unique properties has often served as the basis for the development of modern molecular biology methods. Thus, the search for novel nucleases with potentially exploitable functions remains an important scientific undertaking.</p> <p>Results</p> <p>Using degenerative primers and the rapid amplification of cDNA ends (RACE) procedure, we cloned the Duplex-Specific Nuclease (DSN) gene from the hepatopancreas of the Kamchatka crab and determined its full primary structure. We also developed an effective method for purifying functional DSN from the crab hepatopancreas. The isolated enzyme was highly thermostable, exhibited a broad pH optimum (5.5 – 7.5) and required divalent cations for activity, with manganese and cobalt being especially effective. The enzyme was highly specific, cleaving double-stranded DNA or DNA in DNA-RNA hybrids, but not single-stranded DNA or single- or double-stranded RNA. Moreover, only DNA duplexes containing at least 9 base pairs were effectively cleaved by DSN; shorter DNA duplexes were left intact.</p> <p>Conclusion</p> <p>We describe a new DSN from Kamchatka crab hepatopancreas, determining its primary structure and developing a preparative method for its purification. We found that DSN had unique substrate specificity, cleaving only DNA duplexes longer than 8 base pairs, or DNA in DNA-RNA hybrids. Interestingly, the DSN primary structure is homologous to well-known Serratia-like non-specific nucleases structures, but the properties of DSN are distinct. The unique substrate specificity of DSN should prove valuable in certain molecular biology applications.</p