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The paper proves the necessity to create new modernized types of fruit and vegetable processing machines. The paper highlights the importance of such machinery versatility, since each individual type of fruit and vegetable has its own physical characteristics, such as solidity, viscosity, moisture content, fibers, seeds, and grains. (Research purpose) To study the zucchini mashing process performed by the developed vertical mashing unit. (Materials and methods) An improved mashing machine design is proposed: a vertical plant with a conical auger inside and a sieve drum. (Results and discussion) Based on the calculations, the following parameters are specified: the body wall thickness, the cell diameter, the cone and conical auger parameters, as well as the machine operating modes. The sieve drum height is set at 0.8 meters, the diameter is 0.4 meters, the distance between the cone top and the drum is 0.15 meters. A conical auger is made for four working turns. (Conclusions) The minimum number of zucchini seeds (100 pieces) is specified for the subsequent selection of the drum cell diameter. The criteria and delimitations for high-quality zucchini mashing were identified. The diameter of the vertical masher cells was set within the range from 0.0071 to 0.0093 meters.

The purpose of the study was to investigate gender peculiarities of the content of fibroblasts immunopositive to lamins A, B1 and B2 in skin samples in a process of chronological aging. Material and methods. 331 skin samples at the period from 20 to 40 weeks of gestation and people from birth to 85 years were examined. The content of positively stained dermal fibroblasts and the expression level of lamins A, B1 and B2 in their nucleus was explored by immunohistochemistry. Results and discussion. The gradual decrease of fibroblasts with positive staining for lamin A and the expression level of lamin A after antenatal period and up to old age depends on the age, but does not have differences, which are related to gender. The lamin B1 positively fibroblasts content is declining reliably from birth to 40 years and then it is increasing as well as the expression level of lamina B1. The indicated changes don’t have reliable variances in gender. The change in the number of lamina B2-positively colored fibroblasts and the expression level of lamina B2 has no statistically valid correlation with gender and age. Thus, there are no gender differences in dynamical age related changes of the content and the expression level of protein-lamina in skin fibroblasts in a process of chronological aging.

The work annotates the goals and objectives of the planned joint Russian-Israeli research project aimed at a comprehensive assessment of the data obtained during the examination of patients with mild cognitive decline and autism spectrum disorders. The process of their analysis will be based on complex methods, the effective use of which requires readily available means of operating with clinical and biological data, which, in turn, can be implemented through modern cloud and high-performance computing technologies. It is planned to use the new approach associated with the use of newSQL database as an API, and then use the distributed computing tools for working with heterogeneous data, which will lead to features in the analysis of correlations in multidimensional data arrays. For this purpose it is planned to use the methods of multidimensional statistical analysis and modern methods of machine learning.

This paper is devoted to some of the infrastructural problems of neuroinformatics in the context of existing analog-to-digital systems and high-performance solutions. We surveyed results and analyzed some of the existing methods required in various experiments. Special attention was devoted to the problem of the human brain simulation, based on a combination of digital and analog subsystems. Paper shows various approaches to modeling of interactions between brain neurons and explores different algorithms. We consider different applications of cloud solutions to neuroinformatics problems. Paper highlights areas of particular interest such as working with external storage, distributed data processing and visualization of acquired results. For each of them we survey existing options for creating cloud-based distributed computing solutions that can solve important challenges faced by researchers in their work.

The traditional approach to human brain modeling suggests modification of modern systems and microcircuits as long as their performance reaches a permissible limit. A different hybrid approach is based on neuromorphic computing. The idea we utilize is combination of artificial neural networks with specialized microcircuits. The architecture of the microchip needs to reproduce the mechanisms of the human brain and to be a kind of hardware support for neural networks. Existing models of the brain even on powerful supercomputers require significant computation time and are not yet able to solve problems in real time. Since the human brain consists of two parts with different functions and different data processing principles, there is a very promising approach which suggests combining digital and analog systems into single one. In current collaboration we incorporate some results of study of activity of human brain as a base of building of hybrid computational system and foundation to the approach of running it.

Optimization is the heart of relational Database Management System (DMBS). Its can analyzes the SQL statements and determines the most efficient access plan to satisfy every query request. Optimization can solves this problem and analyzes SQL statements specifying which tables and columns are available. And then request the information system and statistical data stored in the system directory, to determine the best method of solving the tasks required to comply with the query requests.

A hybrid cluster implies the use of computational devices with radically different architectures. Usually, these are conventional CPU architecture (e.g. x86_64) and GPU architecture (e. g. NVIDIA CUDA). Creating and exploiting such a cluster requires some experience: in order to harness all computational power of the described system and get substantial speedup for computational tasks many factors should be taken into account. These factors consist of hardware characteristics (e.g. network infrastructure, a type of data storage, GPU architecture) as well as software stack (e.g. MPI implementation, GPGPU libraries). So, in order to run scientific applications GPU capabilities, software features, task size and other factors should be considered. This report discusses opportunities and problems of hybrid computations. Some statistics from tests programs and applications runs will be demonstrated. The main focus of interest is open source applications (e. g. OpenFOAM) that support GPGPU (with some parts rewritten to use GPGPU directly or by replacing libraries). There are several approaches to organize heterogeneous computations for different GPU architectures out of which CUDA library and OpenCL framework are compared. CUDA library is becoming quite typical for hybrid systems with NVIDIA cards, but OpenCL offers portability opportunities which can be a determinant factor when choosing framework for development. We also put emphasis on multi-GPU systems that are often used to build hybrid clusters. Calculations were performed on a hybrid cluster of SPbU computing center.

This paper targets programmers and developers interested in utilizing parallel programming techniques to enhance application performance. The Oracle Solaris Studio software provides state-of-the-art optimizing and parallelizing compilers for C, C++ and Fortran, an advanced debugger, and optimized mathematical and performance libraries. Also included are an extremely powerful performance analysis tool for profiling serial and parallel applications, a thread analysis tool to detect data races and deadlock in memory parallel programs, and an Integrated Development Environment (IDE). The Oracle Message Passing Toolkit software provides the high-performance MPI libraries and associated run-time environment needed for message passing applications that can run on a single system or across multiple compute systems connected with high performance networking, including Gigabit Ethernet, 10 Gigabit Ethernet, InfiniBand and Myrinet. Examples of OpenMP and MPI are provided throughout the paper, including their usage via the Oracle Solaris Studio and Oracle Message Passing Toolkit products for development and deployment of both serial and parallel applications on SPARC and x86/x64 based systems. Throughout this paper it is demonstrated how to develop and deploy an application parallelized with OpenMP and/or MPI.

Based on CFD computations we provide the analysis of the possibilities for using modern hybrid distributed computational environments for large complex system simulation. We argue that only multilevel approach supported by new mathematical models of transport properties, dynamical representation of the problem with transport and internal processes separated, and modern paradigm of programming, taking into account specific properties of heterogeneous system, will make it possible to scale the problem effectively.

Getting a qualified medical examination can be difficult for people in remote areas because medical staff available can either be inaccessible or it might lack expert knowledge at proper level. Telemedicine technologies can help in such situations. On one hand, such technologies allow highly qualified doctors to consult remotely, thereby increasing the quality of diagnosis and plan treatment. On the other hand, computer-aided analysis of the research results, anamnesis and information on similar cases assist medical staff in their routine activities and decision-making. Creating telemedicine system for a particular domain is a laborious process. Its not sufficient to pick proper medical experts and to fill the knowledge base of the analytical module. Its also necessary to organize the entire infrastructure of the system to meet the requirements in terms of reliability, fault tolerance, protection of personal data and so on. Tools with reusable infrastructure elements, which are common to such systems, are able to decrease the amount of work needed for the development of telemedicine systems. An interactive tool for creating distributed telemedicine systems is described in the article. A list of requirements for the systems is presented; structural solutions for meeting the requirements are suggested. A composition of such elements applicable for distributed systems is described in the article. A cardiac telemedicine system is described as a foundation of the tool

Storage is the essential and expensive part of cloud computation both from the point of view of network requirements and data access organization. So the choice of storage architecture can be crucial for any application. In this article we can look at the types of cloud architectures for data processing and data storage based on the proven technology of enterprise storage. The advantage of cloud computing is the ability to virtualize and share resources among different applications for better server utilization. We are discussing and evaluating distributed data processing, database architectures for cloud computing and database query in the local network and for real time conditions.

Object of research: The creation of algorithm for mass computations of options price for formation of a riskless portfolio. The method is based on the generalization of the Black-Scholes method. The task is the modeling of behavior of all options and tools for their insurance. This task is characterized by large volume of realtime complex computations that should be executed concurrently The problem of the research: depending on conditions approaches to the solution should be various. There are three methods which can be used with different conditions: the finite difference method, the path-integral approach and methods which work in conditions of trade stop. Distributed computating in these three cases is organized differently and it is necessary to involve various approaches. In addition to complexity the mathematical formulation of the problem in literature is not quite correct. There is no complete description of boundary and initial conditions and also several hypotheses of the model do not correspond to real market. It is necessary to give mathematically correct formulation of the task, and to neutralize a difference between hypotheses of the model and their prototypes in the market. For this purpose it is necessary to expand standard formulation by additional methods and develop methods of realization for each of solution branches.

In this paper, we illustrates the ways to improve abilities of the computing environments by using virtualization, single system image (SSI) and hypervisor technologies collaboration for goal to improve computational abilities. Recently cloud computing as a new service concept has become popular to provide various services to user such as multi-media sharing, online office software, game and online storage. The cloud computing is bringing together multiple computers and servers in a single environment designed to address certain types of tasks, such as scientific problems or complex calculations. By using virtualization technologies, cloud computing environment is able to virtualize and share resources among different applications with the objective for better server utilization, better load balancing and effectiveness.

Efficiency and completeness of the numerical simulation in oceanography and hydrometeorology are entirely determined by algorithmic features of the construction of an interactive computer simulations in the scale of the oceans with adaptive coated closed seas and coastal waters refined mathematical models, with the possibility of specifying software parallelization calculations near the concrete - the protected areas of the sea coast. An important component of the research is continuous graphical visualization techniques in the course of calculations, including those undertaken in parallel processes with shared RAM or test points on the external media. The results of computational experiments are used in the description of hydrodynamic processes near the coast, which is important in keeping the organization of sea control services and forecasting marine hazards.

Levels of contamination of three mining industrial zones in Irkutsk Oblast and Zabaykalsky Krai were revealed by means of geoecological and geochemical monitoring. Bulk contents and mobile forms of As in soils, stubs, bricks, and dumps of the mining and processing industry were defined. This allowed revealing features of chemical composition of technogenic substrates for the purpose of a choice of a way of their neutralization. The possibility of chemical immobilization of mobile ionic forms of As in natural and man-made objects by treatment with alkaline reagents was studied. X-ray diffraction (XRD) analysis revealed pharmacolite CaHAsO4·2H2O, calcium arsenate Ca3(AsO4)2, and segnititePb(Fe3+)3AsO4(AsO3OH)(OH)6 that are formed in the obtained solid insoluble precipitates. Formation of new solid insoluble compounds indicates the chemical binding (immobilization) of arsenic-containing compounds and the irreversibility of the process. This allows us to offer an effective way of fixing toxic agents to reduce migration in the environment by stabilizing immobilized forms. Experiments with the use of lignin sludge ash (accumulated waste of the closed Baikal pulp and paper mill) for the neutralization of arsenic-containing waste of mining and metallurgical industries were carried out. Application of modified coal sorbing agents for the sorption of residual mobile forms of As (after treating with an alkaline reagent) allows achieving a decrease in its concentrations to the TLV standard for a hazardous substance. NoritRO 3520 is the most effective sorbing agent. The results are of high applied importance for the implementation of the method of chemical immobilization of mobile ion forms of As in technogenesiszones.

The article deals with basic design rules of advanced onboard digital computer systems in avionics. A block diagram of advanced onboard computer system is given.

A case of generalized enteroviral infection of a newborn (encephalomyocarditis and dilated cardiomyopathy) was described. The 6 day old patient required close monitoring and intensive care because of severe heart failure. Diagnosis of enteroviral infection was made by detection of enterovirus RNA in the sterile body fluids — blood and cerebrospinal fluid.