bluuebunny/crossref_metadata_2025 huggingface dataset:
SEGMENTATION OF STEREO IMAGES WITH THE USE OF THE 3D HOUGH TRANSFORM
Authors:   Image Processing Systems Institute - Branch of the Federal Scientific Research Centre ", Goshin Yegor V. ,   Crystallography and Photonics",   of Russian Academy of Sciences, Samara, Russia,   Samara National Research University, Samara, Russia, Loshkareva Galina E. ,   Image Processing Systems Institute - Branch of the Federal Scientific Research Centre "Crystallography and Photonics" of Russian Academy of Sciences, Samara, Russia,   Samara National Research University, Samara, Russia
Published: September 2016

A technology for the segmentation of stereo images using the Hough transform is proposed in this paper. The first stage of the process is the formation of a 3D model of a scene in the form of a point cloud - where information about camera parameters is lacking. In the second stage, with the help of the Hough space, the most appropriate set of planes is found. The segmentation of the generated scene is then carried out, based on these. Experimental research results relating to simulated scenes are given.
SUPPORT SUBSPACES METHOD FOR FRACTAL IMAGES RECOGNITION
Authors:   Samara National Research University, Samara, Russia, Minaev Evgeny Yu. , Fursov Vladimir A. ,   Samara National Research University, Samara, Russia
Published: September 2016

This paper presents the recognition method of fractal images. The approach is considered based on using support subspaces. Support subspaces are constructed with vectors of source data using a conjunction index. The proposed new computing algorithm for the conjugation index reduces requirements for computing capacities and memory. It is shown that the proposed method of construction, supporting subspaces without vectors with stand-out conjunction index, improves recognition rate with dimension reduction of the source data.
EVALUATION OF ABERRATIONS IN THE OPTICAL SYSTEM OF THE HUMAN EYE BASED ON THE SPATIAL SPECTRUM OF A DIAGNOSTIC IMAGE
Authors:   Image Processing Systems Institute - Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of Russian Academy of Sciences, Samara, Russia, Ilyasova Nataly Yu. ,   Samara National Research University, Samara, Russia, Abulkhanov Dmitriy A. ,   Samara National Research University, Samara, Russia, Kupriyanov Alexander V. ,   Image Processing Systems Institute - Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of Russian Academy of Sciences, Samara, Russia,   Samara National Research University, Samara, Russia, Karsakov Alexey V. ,   Samara National Research University, Samara, Russia
Published: September 2016

This study deals with the analysis of wavefront aberrations that occur in the image owing to curvature variations in the human eye cornea. The analysis is based on the Liou-Brennan human eye model. The surface curvature and wavefront aberrations are described using Zernike polynomials. Our approach involves evaluating parameters of the distorting system's transfer function and measuring the expansion coefficients based on pattern recognition methods. Constructing a feature space of medical images enables the evaluation of aberrations in the eye optical system to be performed.
INJURED LUNG VOLUME ESTIMATION ON CT DATA USING LINEAR METRICS
Authors:   Samara National Research University, Samara, Russia, Smelkina Natalya A. , Kolsanov Alexandr V. ,   Samara State Medical University, Samara, Russia, Chaplygin Sergey S. ,   Samara State Medical University, Samara, Russia, Zelter Pavel M. ,   Samara State Medical University, Samara, Russia, Khramov Alexandr G. ,   Samara National Research University, Samara, Russia, Nikonorov Artem V. ,   Samara National Research University, Samara, Russia
Published: September 2016

The article proposes a method for measuring the volume of the injured regions of human lung tissue on CT scan based on the volume of healthy lung tissue subtraction from the total lung volume in the absence of pathology. The total lung volume is calculated on the base of the regression model using a combination of linear metrics produced manually. The volume of healthy lung tissue is determined using adaptive thresholding. Experimental studies have shown that the error of the proposed technique does not exceed 10% in comparison with ground true evaluation made by expert. This technique is useful for the case of large injury, when accurate lung segmentation is impossible.
APPLICATION OF THE METHOD OF PYRAMID FOR SYNTHESIS OF PARALLEL ALGORITHM FOR DIFFERENCE SOLUTION OF THE TWODIMENSIONAL PARTIAL DIFFERENTIALS EQUATION
Authors:   Samara National Research University, Samara, Russia, Golovashkin Dimitriy L. ,   Image Processing Systems Institute - Branch of the Federal Scientific Research Centre "Crystallography and Photonics" of Russian Academy of Sciences, Samara, Russia, Yablokova Lyudmila V. ,   Samara National Research University, Samara, Russia, Belova Elena V. ,   Samara National Research University, Samara, Russia
Published: September 2016

The work is devoted to the synthesis and investigation of parallel algorithm for a finite difference solution of the Poisson equation using the Jacobi method. For example, two-dimensional case demonstrates the efficacy of the method of the pyramids in the synthesis of said algorithm.
IMPLEMENTATION OF DIFFERENCE SOLUTIONS OF MAXWELL’S EQUATIONS ON THE GPU BY METHOD OF PYRAMID
Authors:   Samara National Research University, Samara, Russia, Yablokova Lyudmila V. , Golovashkin Dmitriy L. ,   Samara National Research University, Samara, Russia
Published: September 2016

The work is dedicated to the development of the method of pyramids in the annex to the decision of Maxwell's equations in the time domain by means of the finite difference (FDTD) and its implementation on the GPU. This method allows you to remove the restriction on the amount of memory the graphics computing device.
REAL-TIME ROAD SIGNS RECOGNITION USING MOBILE GPU
Authors:   Samara National Research University, Samara, Russia, Yakimov Pavel Y.
Published: September 2016

This article shows an effective implementation of the algorithm for detection of road signs using video obtained by a camera installed in a vehicle. Road signs detection and recognition are implemented using CUDA and operate in real-time on a mobile GPU. Vehicle speed is used to predict the position of road signs in the adjacent frames in a video sequence. The experimental results confirmed the high efficiency of the developed road signs system.
CRITICAL CONDITIONS OF IGNITION OF FUEL SPRAY CONTAINING LIQUID FUEL DROPLETS
Authors:   Samara National Research University, Samara, Russia, Agataeva Aina Zh. , Shchepakina Elena A. ,   Samara National Research University, Samara, Russia
Published: September 2016

The ignition of combustible gas containing liquid fuel droplets is investigated. The analysis is based on the theory of integral manifolds of singularly perturbed systems. This approach allows us to define different types of chemical regimes including the critical mode. The relation between the critical regime and the phenomenon of delayed loss of stability in the dynamical model is shown.
CONTROL OF A ONE RIGIT-LINK MANIPULATOR IN THE CASE OF NONSMOOTH TRAJECTORY
Authors:   Samara National Research University, Samara, Russia, Aksenova Natalya K. , Sobolev Vladimir A. ,   Samara National Research University, Samara, Russia
Published: September 2016

Mathematical model of a single-link manipulator is considered. It describes the motion of the manipulator along a given path which cam be nonsmooth. Integral manifolds method is used for the system order reduction and design of control laws.
REDUCTION IN INITIAL BOUNDARY VALUE PROBLEM FOR HIV EVOLUTION MODEL
Authors:   Samara National Research University, Samara, Russia, Archibasov Alexey A.
Published: September 2016

HIV evolution model that describes the dynamics of concentrations of uninfected and infected cells is considered in the paper. The introduction of dimensionless variables and parameters leads to the initial boundary value problem for singularly perturbed system of partial integro-differential equations. By Tikhonov-Vasil’eva boundary functions method asymptotic solution with boundary layer is constructed. Numeric simulation of complete and reduced systems are also given.
ON INTERPOLATION of FUNCTIONS with a BOUNDARY LAYER BY CUBIC SPLINES
Authors:   Volga Region State University of Telecommunications and Informatics, Samara, Russia, Blatov Igor A. , Kitaeva Elena V. ,   Volga Region State University of Telecommunications and Informatics, Samara, Russia, Zadorin Alexander I. ,   Sobolev Institute of Mathematics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
Published: September 2016

The problem of article is cubic spline-interpolation of functions having high gradient regions. It is shown that uniform grids are inefficient to be used. In case of piecewise-uniform grids, concentrated in the boundary layer, for cubic spline interpolation are announced asymptotically exact estimates on a class of functions with an exponential boundary layer. There are obtained results showing divergent in small parameter estimates and divergence of interpolation processes. The modified cubic spline with uniform in small parameter interpolation error is offered. The results of numerical experiments confirming theoretical estimates are given.
ASSESSING HAZARD PROBABILITY FACTORS RELATED TO FORECASTED WEATHER CONDITIONS
Authors:   Ulyanovsk State University, Ulyanovsk, Russia, Burmistrova Valentina G. , Butov Alexandr A. ,   Ulyanovsk State University, Ulyanovsk, Russia, Zharkov Alexandr V. ,   Ulyanovsk State University, Ulyanovsk, Russia, Pchelkina Yuliya V. ,   Samara National Research University, Samara, Russia
Published: September 2016

In this paper we have considered two meteorological factors as an object of our research: horizontal and vertical visibility. These meteorological factors are associated with "danger thresholds", going beyond these levels (in excess or decrease) is unacceptable or undesirable. The initial values of the horizontal and vertical visibility are assumed to be equal to the values presented in the weather forecast. The results of this development can be used to solve problems related to aviation forecasting, for example, when making a decision regarding a departure or landing of the aircraft.
EFFECT OF ANISOTROPIC YIELD CRITERION ON THE SPRINGBACK IN PLANE STRAIN PURE BENDING
Authors:   Samara National Research University, Samara, Russia, Grechnikov Fedr V. ,   Samara Scientific Center of Russian Academy of Sciences, Samara, Russia, Erisov Yaroslav A. ,   Samara National Research University, Samara, Russia, Alexandrov Sergei E. ,   Institute for Problems in Mechanics, Russian Academy of Sciences, Moscow, Russia
Published: September 2016

Plastic anisotropy is one of the multiple material representations significantly affecting the springback simulations. The present paper studies the influence of the plastic anisotropy over the springback in plane strain pure bending by means of the exact semi-analytical solution. The yield criterion and the constitutive equations for the orthotropic material with consideration of the crystal lattice constants and parameters of the crystallographic texture are used taking into account the anisotropy.
MATHEMATICAL MODELING OF ETHANE PYROLYSIS USING ENO SCHEMES
Authors:   Institute of Petrochemistry and Catalysis, Russian Academy of Sciences, Gubaidullin Irek M. , Peskova Elizaveta E. ,   Ogarev Mordovia State University, Saransk, Russia, Stadnichenko Olga A. ,   Boreskov Institute of Catalysis, Siberian Branch of Russian Academy of Sciences, Novosibirsk State University, Novosibirsk, Russia
Published: September 2016

In this paper an algorithm for constructing ENO schemes on unstructured grids for Navier-Stokes equations supplemented by the equations for the concentrations of chemicals is considered. A second order accuracy scheme, based on the linear reconstruction of a function in cells, is presented. The mathematical model was verified on the task of analyzing the gas-dynamic parameters of the gross reaction of ethane pyrolysis.
MULTI-CRITERIA OPTIMIZATION BASED ON THE REGRESSION EQUATION SYSTEMS IDENTIFICATION
Authors:   Samara National Research University, Samara, Russia, Kotenko Andrey P. ,   Samara State Technical University, Samara, Russia, Pshenina Darya A. ,   Samara State Technical University, Samara, Russia
Published: September 2016

Consider the problem of multi-criteria optimization with conflicting criteria. An example is the complex chemical production with random parameters. We describe using regression equations dependence of targets from control actions. Investigation of the systems of interdependent regression equations requires description of all possible variants of their properties. The most productive case is exact identification of the system parameters. It allows to find the optimal values of the control parameters for manufacturing of quality assured production.
SIMULATION OF THE DYNAMICS OF NONRESONANT MOTION IN A CONTROLLED DESCENT OF AN ASYMMETRIC SPACECRAFT IN THE LOW-DENSITY ATMOSPHERE
Authors:   Samara National Research University, Samara, Russia, Lyubimov Vladislav V. , Kurkina Ekaterina V. ,   Samara National Research University, Samara, Russia
Published: September 2016

We consider the problem of implementation of non-resonant motion at descent of a spacecraft with small mass and aerodynamic asymmetries in the low-density atmosphere of Mars. A controllable decrease in the mass asymmetry contributes to implementation of non-resonant motion of the spacecraft. We introduce an analytical control law for the magnitude of asymmetry. The results of numerical simulation of spherical motion of a spacecraft with controllable asymmetry are included.
ON REVERSE ENGINEERING OF HUMAN BODY SYSTEM
Authors:   Heinrich Heine University Düsseldorf, Germany, Mau Jochen
Published: September 2016

From a holistic perspective, functional body can be decomposed into functional core body of vital functions and functionally extended body of physical productivity activity; operational body stands for cognitive and volitive functionality that expresses as a person's interactions with environment and social settings and become perceived as behavior. A factory interpretation suggests to see human body as a bioautomaton, operationally utonomous but functionally non-autarkic. Analogies with complex organizations suggest distinction of functional levels, which are concatenated top-down in a "knitting" way, with an interpretation of emergent properties as next-lower level interactions.
DEVELOPMENT TOOLS OF THE INTELLECTUAL SELF-ORGANIZED SYSTEMS OF AUTOMATIC CONTROL
Authors:   Yury Gagarin State Technical University of Saratov, Saratov, Russia, Stepanov Mikhail F. , Stepanov Andrey M. ,   Institute of Problems of Exact Mechanics and Control of the Russian Academy of Science, Pakhomov Maxim A. ,   Yury Gagarin State Technical University of Saratov, Saratov, Russia, Salikhova Almira R. ,   Yury Gagarin State Technical University of Saratov, Saratov, Russia, Mikhaylova Lybov S. ,   Electrosteel Polytechnical Institute of the Moscow State Machine-Bbuilding University, Moscow, Russia
Published: September 2016

Questions of automation of creation of systems of the decentralized control of non-stationary plants by artificial intelligence methods are considered. As one of solutions of the specified problem the union of the intellectual self-organized systems of automatic control and neurocontrol is offered: 1) synthesis of the control law with use of means of the intellectual selforganized systems of automatic control (ISSAC); 2) implementation of the synthesized control law with use of the artificial neural network (ANN). The offered approach includes parallelization of control processes, identifications (creating of the emulator), synthesis of the control law and, at last, creating of the neurocontroller according to parameters of the new control law. With respect thereto the generalized scheme of implementation of ISSAC in the form of set of the calculator on the microprocessor and the blocks constructed on FPGA in which the plants emulator and the neurocontroller are realized is offered.
CRITICAL CASES IN SLOW/FAST CONTROL PROBLEMS
Authors:   Samara National Research University, Samara, Russia, Sobolev Vladimir A.
Published: September 2016

The aim of the paper is to describe the main critical cases in the theory of singularly perturbed optimal control problems and to give examples which are typical for slow/fast systems. The theory has traditionally dealt only with perturbation problems near normally hyperbolic manifold of singularities and this manifold is supposed to isolated. We reduce the original singularly perturbed problem to a regularized one such that the existence of slow integral manifolds can be established by means of the standard theory. We illustrate our approach by several examples of control problems.
THE CONSTRUCTION OF THE OBSERVERS FOR DYNAMIC SYSTEMS WITH FAST AND SLOW VARIABLES
Authors:   Samara National Research University, Samara, Russia, Vidilina Olga V. , Voropaeva Natalya V. ,   Samara National Research University, Samara, Russia
Published: September 2016

The estimation problem for dynamic systems with several time scales is considered. The method of asymptotic decomposition is used to reduce dimension and to simplify the structure of the observers.
NORMALITY ASSUMPTION IN STATISTICAL DATA ANALYSIS
Authors:   Samara National Research University, Samara, Russia, Shatskikh Sergey Ya. , Melkumova Lana E. ,   Mercury Development Russia, Samara, Russia
Published: September 2016

The article is devoted to normality assumption in statistical data analysis. It gives a short historical review of the development of scientific views on the normal law and its applications. It also briefly covers normality tests and analyzes possible consequences of using the normality assumption incorrectly
REDUCING THE SAMPLE SIZE WHEN ESTIMATING CONDITIONAL QUANTILES
Authors:   Samara National Research University, Samara, Russia, Shatskikh Sergey Ya. , Melkumova Lana E. ,   Mercury Development Russia, Samara, Russia
Published: September 2016

In this paper we propose an idea to use a certain property of multivariate probability distri butions, that we call the conditional quantile reproducibility, to decrease the amount of observations required to construct a statistical estimate of a n-dimensional conditional quantile of the distribution. For the class of probability distributions, satisfying to this property, we present several results, proving that in many cases the reproducibility property allows us to restore the n-dimensional conditional quantile by solving a certain type of Pfaffian differential equation. The equation is constructed from functions, derived only from the 2-dimensional marginal distributions of the initial distribution.
SOFTWARE AND HARDWARE INFRASTRUCTURE FOR DATA STREAM PROCESSING
Authors:   Image Processing Systems Institute - Branch of the Federal Scientific Research Centre ", Protsenko Vladimir I. ,   Crystallography and Photonics",   of Russian Academy of Sciences, Samara, Russia,   Samara National Research University, Samara, Russia, Serafimovich Pavel G. ,   Image Processing Systems Institute - Branch of the Federal Scientific Research Centre "Crystallography and Photonics" of Russian Academy of Sciences, Samara, Russia,   Samara National Research University, Samara, Russia, Popov Sergey B. ,   Image Processing Systems Institute - Branch of the Federal Scientific Research Centre "Crystallography and Photonics" of Russian Academy of Sciences, Samara, Russia,   Samara National Research University, Samara, Russia
Published: September 2016

In this paper state-of-the-art hardware and software technologies for stream data processing are reviewed. IBM InfoSphere Streams and Apache Spark are among of the most popular software products that alleviates burden of distributed program development for data analysis tasks. Capabilities of these systems are considered in application to the time series analysis. IBM InfoSphere Streams turns to be more suitable for online processing, whereas Apache Spark time series library focuses on a bulk processing of big collections of the time series.
THE EFFECTIVE FEATURES FORMATION FOR THE IDENTIFICATION OF REGIONS OF INTEREST IN A FUNDUS IMAGES
Authors:   Image Processing Systems Institute - Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of Russian Academy of Sciences, Samara, Russia, Ilyasova Nataly Yu. ,   Samara National Research University, Samara, Russia, Paringer Rustam A. ,   Image Processing Systems Institute - Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of Russian Academy of Sciences, Samara, Russia,   Samara National Research University, Samara, Russia, Kupriyanov Alexander V. ,   Image Processing Systems Institute - Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of Russian Academy of Sciences, Samara, Russia,   Samara National Research University, Samara, Russia, Ushakova Nataly S. ,   Samara National Research University, Samara, Russia
Published: September 2016

The effective features formation for the identification of regions of interest (ROIs) in a fundus images is proposed. Source texture features are derived from 6 different statistical image descriptors computed by library MaZda. The features are derived respectively from image histogram, image gradient, run-length matrix, co-occurrence matrix, autoregressive model, wavelet transform, each calculated for up to 16 predefined ROIs. The first step of the research is a selecting from this enormous amount of features a subset of the most informative ones for our class of the biomedical images, which provide a maximum value of group separability criterion of discriminative analysis. New effective features set is formed from selected features with using discriminative analysis technique. In order to evaluate the separability quality, we calculated the clusterization error for each features set and various fragmentation window sizes. We use a K-means clusterization method and the Euclidean and Mahalanobis distance as a similarity measure. The required minimum size of a fragmentation window and the similarity measure were selected according to the criterion of the minimum clusterization error.
TERNARY TREES USAGE FOR COMPUTATIONAL EXPERIMENT DATA STORAGE
Authors:   Samara National Research University, Samara, Russia, Kovartsev Alexandr N. , Popova-Kovartseva Darya A. ,   Samara National Research University, Samara, Russia, Gorshkova Elena E. ,   Samara National Research University, Samara, Russia
Published: September 2016

Repository for a great number of the suspected function runs must often be organized during the realization of numerical global optimization method or program modules testing methods. In this connection the problem of a fastaccess search of required element arises. A way to solve the problem can be found through the organization of an effective data repository, which allows for rapid implementation of the search and insertion of new elements. The binary and ternary trees storage options are considered in the paper, their comparison is made, recommendations for use of analyzed data models are reported.
UNIVERSAL DATA MODEL FOR SOLVING RESEARCH PROBLEMS
Authors:   Samara National Research University, Samara, Russia, Yablokov Denis E. , Saleev Vladimir A. ,   Samara National Research University, Samara, Russia
Published: September 2016

The article deals with the methodology of creation a universal data storage for applications oriented to the specialists who participate in scientific researches. It is assumed that the storage structure is not rigidly bound to any scientific domain, and it will be demanded in many projects related to the data accumulation, data analysis and processing. The proposed approach to the organization of the storage system is based on fundamental principles, concepts and technologies that used in the software design process. This process is based on the subject domain analysis and the detection criteria of commonality and variability which guarantee high abstraction level as one of the main tools for working with data.
VISUALIZATION AND CLUSTER ANALYSIS OF SOCIAL NETWORKS
Authors:   Samara National Research University, Samara, Russia, Khotilin Maximilian I. , Blagov Alexander V. ,   Samara National Research University, Samara, Russia
Published: September 2016

The article is devoted to the analysis of social networks, which are presented by graphs. The paper presents approaches to the modeling of distributions of social networks as well as the algorithms used for finding communities, as well as accounts that have the greater impact on the community.
USE OF BIG DATA TECHNOLOGY IN PUBLIC AND MUNICIPAL MANAGEMENT
Authors:   International Market Institute, Samara, Russia, Ramzaev Vladimir M. , Khaimovich Irina N. ,   International Market Institute, Samara, Russia,   Samara National Research University, Samara, Russia, Chumak Vadim G. ,   International Market Institute, Samara, Russia
Published: September 2016

The development of a model for forecasting the competitiveness of territories requires using large amounts of stream data in real-time. The aim of this study is to develop the models and methods of management decisionmaking based on forecasting of competitiveness of territories. The objectives of this study include the identification of competitiveness factors, the development of a method of SMB management, the development of a model of competitiveness of territories using expert estimates, the presentation of information from the experts using the BIG DATA technology. The results of the study are models for making management decisions on competitiveness of territories using expert estimates and applying the BIG DATA technology. Practical outcomes include improving the quality and timeliness of making decisions on management of territories based on the model of forecasting of the region development.
THE EFFICIENCY OF OPTICAL MICROSTRUCTURES FORMED ON MOLYBDENUM FILMS
Authors:   Image Processing Systems Institute - Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of Russian Academy of Sciences, Samara, Russia, Poletayev Sergey D. ,   Samara National Research University, Samara, Russia, Volotovsky Sergey G. ,   Image Processing Systems Institute - Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of Russian Academy of Sciences, Samara, Russia,   Samara National Research University, Samara, Russia
Published: September 2016

We have considered influence of technological errors of formation of the amplitude optical lattices made by method of a laser ablyation of thin films of molybdenum on distribution of diffraction orders in a distant zone of diffraction. For this purpose we have digitized a profile of a site of the created diffraction structure with the subsequent transformation to amplitude or phase functions of a transmission.
Tree-based approaches for understanding growth patterns in the European regions
Authors: Annoni Paola
Published: September 2016

The paper describes an empirical analysis to understand the main drivers of economic growth in the European Union (EU) regions in the past decade. The analysis maintains the traditional factors of growth used in the literature on regional growth - stage of development, population agglomeration,
transport infrastructure, human capital, labour market and research and innovation - and incorporates the institutional quality and two variables which aim to reflect the macroeconomic conditions in which the regions operate. Given the scarcity of reliable and comparable regional data at the EU level, large part of the analysis has been devoted to build reliable and consistent panel data on potential factors of growth. Two non-parametric, decision-tree techniques, randomized Classication and Regression Tree and Multivariate Adaptive Regression Splines, are employed for their ability to address data complexities such as non-linearities and interaction eects, which are generally a challenge for more traditional statistical procedures such as linear regression. Results show that the dependence of growth rates on the factors included in the analysis is clearly non-linear with important factor interactions. This means that growth is determined by the simultaneous presence of multiple stimulus factors rather than the presence of a single area of excellence. Results also conrm the critical importance of the macroeconomic framework together with human capital as major drivers of economic growth of countries and regions. This is overall in line with most of the economic literature, which has persistently underlined the major role of these factors on economic growth but with the novelty that the macroeconomic conditions are here incorporated. Human capital also has an important role, with low-skilled workforce having a higher detrimental eect on growth than high-skilled. Not surprisingly, other important factors are the quality of governance and, in line with the neoclassical growth theory, the stage of development, with less developed economies growing at a faster pace than the others. The evidence given by the model about the impact of other factors on economic growth such as those on the quality of infrastructure or the level of innovation seems to be more limited and inconclusive. The analysis conclusions support the reinforcement of the EU economic governance and the conditionality mechanisms set in the new architecture of the EU regional funds 2014-2020 whose rationale is that the eectiveness of the expenditure is conditional to good institutional quality and sound economic policies.
New Approach for Airflow Measurement Using Thermal Resistance Simulation
Authors: Umar Lazuardi
Published: September 2016

This paper presents a new model-based approach to detect and compensate errors of positive temperature coefficient (PTC) sensors used for airflow measurement.  From modeling and simulation, it can be shown that the thermal resistance of the sensor at self-heating mode was influenced by air flow magnitude. The sensor of type EPCOS-AG B59010 in a steel case, length 20 mm, diameter 2 mm was characterised over the flow rate range between 0 and 6 m/s and modeled to determine coupling thermal resistance interaction Rth between the medium surrounding and sensor’s structure.  Soiling caused by dust transported with the air on the sensor surface changing in the thermal resistance has observed and simulated in an experiment using a cylindrical sheath of PTFE – Polytetrafluorethylen with known heat conductivity λS = 0.24 W/Km and diameter D.  Parameters of model were then calibrated by evaluating current-voltage I(U)-characteristic at air velocity of v = 0m/s, and recalibration is then also used to correct the model parameters for v ¹ 0m/s. Result shows the soiling has exceeded critical thickness at D/d = 9 wherein the thermal resistance tends to be constant meaning cleaning sensor surface or replacing are needed.
Optimization of Ficus deltoidea Using Ultrasound-Assisted Extraction by Box-Behnken Statistical Design
Authors: Ong L. J. , Mamat Awang Soh , Shahzad Aslam Muhammad , Syarhabil Ahmad Muhammad ,   School of Bioprocess Engineering, University Malaysia Perlis, Kompleks Pusat Pengajian Jejawi 3, 02600 Arau, Perlis, Malaysia.,   School of Bioprocess Engineering, University Malaysia Perlis, Kompleks Pusat Pengajian Jejawi 3, 02600 Arau, Perlis, Malaysia.,   School of Bioprocess Engineering, University Malaysia Perlis, Kompleks Pusat Pengajian Jejawi 3, 02600 Arau, Perlis, Malaysia.,   School of Bioprocess Engineering, University Malaysia Perlis, Kompleks Pusat Pengajian Jejawi 3, 02600 Arau, Perlis, Malaysia.
Published: September 2016

In this study, the effect of extraction parameters (ethanol concentration, sonication time, and solvent-to-sample ratio) onFicus deltoidealeaves was investigated using ultrasound-assisted extraction by response surface methodology (RSM). Total phenolic content (TPC) ofF. deltoideaextracts was identified using Folin-Ciocalteu method and expressed in gallic acid equivalent (GAE) per g. Box-Behnken statistical design (BBD) was the tool used to find the optimal conditions for maximum TPC. Besides, the extraction yield was measured and stated in percentage. The optimized TPC attained was 455.78 mg GAE/g at 64% ethanol concentration, 10 minutes sonication time, and 20 mL/g solvent-to-sample ratio whereas the greatest extraction yield was 33% with ethanol concentration of 70%, sonication time of 40 minutes, and solvent-to-material ratio at 40 mL/g. The determination coefficient,R2, for TPC indicates that 99.5% capriciousness in the response could be clarified by the ANOVA model and the value of 0.9681 of predictedR2is in equitable agreement with the 0.9890 of adjustedR2. The present study shows that ethanol water as solvent, a short time of 10 minutes, and adequate solvent-to-sample ratio (20 mL/g) are the best conditions for extraction.
Kobieta w zakładzie pracy w Polsce Ludowej i po 1990 r. Analiza stanu prawnego
Authors: Kosztowna Natalia
Published: September 2016

The article deals with the mechanisms of female employment. The author has set
herself the task of comparing the conditions of employment of women during the
Polish People’s Republic (PRL) and contemporary times. The main aim was to indicate
the evolution of labour law relating to women workers from a series of instructions
and regulations of the Council of Ministers defining the protection of
women's work before 1974, through a variety of general rules applicable to all employees,
to the regulations contained in the Labour Code and also current legislation.
The article attempts to assess the ethical actions taken by the state to improve
the conditions of employment of women in the workplace. The text indicates the
importance of the work in the lives of women. Occupational status and income level
strongly influenced the behaviour of women, who in many cases took up work intended
only for men due to the fact that during PRL it was only such work which
would allow them to obtain a higher salary. The article indicates that today there is
a special emphasis placed on the prohibition of restricting the employment of
women in jobs and on the conditions of the employment of pregnant women.
The author of this article has evaluated the legislation introduced by the state,
which contributed to the increase in female activity in the labour market. However,
in ethical terms of ethical it is very difficult to unambiguously assess the actions
taken by the state for the protection of women's work in the PRL, but also in contemporary
times.
Wpływ zasad religijnych na ukształtowanie systemu rachunkowości
Authors: Czerny Małgorzata
Published: September 2016

Undoubtedly, such factors as different cultural background affects ‘the shape’ of
economy. The impact of cultural factors on the economy, as well as its specific
fields (particularly accounting), has been studied by, among others, Mueller, Hofstede
and Gray. Reflections on the topic were also conducted in Polish literature,
although relatively late. One of the cultural factors is, beyond doubt, religion, forming
some ethical attitudes through the transfer of certain values, which become
a guide to individual actions, and exerting an obvious influence on the applicable
standards in a society. The author does not pretend to consider the relations between
religion and ethics, in the article only issues concerning possible to demonstrate
influence of religious norms on accounting are raised. The aim is briefly to discuss
the impact of Christianity, Islam and Confucianism on accounting systems and practices,
based on literature studies. In conclusion, the question arises about the sense
of the convergence of accounting standards, at least in the context of the current
efforts undertaken in this field.
Does Physical Therapy after a TPLO Lead to Improvement of the 1-Year Post-Operative Peak Vertical Force?
Authors: Beaulieu Andrea Faure , Pozzi Antonio
Published: September 2016

Clinical bottom line

Based  on the lack of sufficient clinical studies investigating the PICO question, it is not possible to conclude if physical therapy should be recommended as a routine postoperative treatment after TPLO. 

  
Event-Oriented Data Integration: A Qualitative Strategy in Studying Professional Practice
Authors: Vatne Solfrid , Fagermoen May Solveig
Published: September 2016

The purpose of this article is to present a qualitative mixed-method strategy that uncovers the compound reality in professional practice and the inner aspects of actions, feelings, values, and thoughts embedded therein. The authors developed a systematic strategy for collecting and handling data from different sources. This strategy, called event-oriented data integration represents within-method triangulation as well as triangulation during data analysis. The analysis involves 2 distinctive new steps for structuring of data—the braiding of data threads and the braiding of data ropes. We found that the process of weaving together different data created an inclusive text that allowed the researcher to undertake a holistic, coherent, and consistent analysis and to attain a more complete picture of professional practice.
Delirium Prevention for Cognitive, Sensory, and Mobility Impairments
Authors: Robinson Sherry , Rich Catherine , Weitzel Tina , Vollmer Charlene , Eden Brenda
Published: September 2016

The purpose of this study was to determine the effectiveness of a protocol designed to prevent delirium in hospitalized elders with the risk factors of dementia and/or vision, hearing, and/or mobility impairments. A group of 80 patients with risk factors hospitalized before the protocol was implemented was matched with a group of 80 patients admitted after the implementation of the protocol. Records of patients in both groups were reviewed to identify patients with delirium. A significant reduction in delirium, from 37.5% to 13.8%, occurred in the elders receiving the protocol.
Community Health Action Model: Health Promotion by the Community
Authors: Racher Frances E. , Annis Robert C.
Published: September 2016

The goal of the Community Health Action (CHA) model is to depict community health promotion processes in a manner that can be implemented by community members to achieve their collectively and collaboratively determined actions and outcomes to sustain or improve the health and well-being of their community; the community as a whole, for the benefit of all. The model is unique in its ability to merge the community development process with a compatible community assessment, planning, implementation, and evaluation framework. The CHA model supports community participation leading to community-engaged assessment and change. In this article, the CHA model is depicted, its genesis described, and its utility demonstrated.
Moving Beyond Biomedical Understanding of Lipodystrophy in People Living With HIV/AIDS
Authors: Gagnon Marilou , Holmes Dave
Published: September 2016

The purpose of this article is to move beyond the biomedical standpoint in the field of HIV/AIDS in order to contribute to the recognition of lipodystrophy as a phenomenon that reaches far beyond its current definition as an unfortunate side effect of highly active antiretroviral therapy (HAART). This article hopes to demonstrate how theory, while remote to the clinical setting, can allow nurses to understand the experience of lipodystrophy as a social phenomenon and address it likewise in their practice. The specific aim of this article is to apply the concept of stigma to the experience of lipodystrophy in people living with HIV/AIDS. The objective of this theoretical piece is to fill the gaps in the way nurses address lipodystrophy in the clinical setting and to demonstrate the richness of Goffman’s concept of stigma (1963) in understanding the experience of lipodystrophy.
Organic food sourcing, processing and distribution: a case of satisfying a growing market
Authors: Ahrendsen Bruce L. , Bielik Peter , Horská Elena
Published: September 2016

A case study of an organic food company in the Slovak Republic involved in producing and sourcing inputs, food processing and distribution is presented. The case is based on a June 2014 “live” case study prepared for students in International MBA in Agribusiness programs at the Slovak University of Agriculture in Nitra, Warsaw University of Life Sciences and the National University of Life and Environmental Sciences of Ukraine, Kiev. The company was established in 2001 with the objective to bring organic food to health conscious consumers. The company grows organic spelt grain, wheat, rye, buckwheat, herbs and apples on its 156 ha and 400 ha of owned and rented farmland. The company further processes these crops into more than 40 finished products. Students are presented with company information and summaries of a company visit and discussions with management. Students perform PEST and SWOT analyses, identify a shortage of owned and leased land as a problem the company must address, conduct research and analysis, and recommend product specification contracts as a solution to the problem.
Tourism, meditation, sustainability
Authors: Lengyel Attila
Published: September 2016

The economic value of meditation based services is clearly demonstrated by a growing number of companies using such services. In the USA one quarter of the companies offer in-house meditation training to their employees. On the otherhand,the number of those who think that the western consumption paradigm in its present form is unsustainable is also increasing. In addition to its business value, meditation and its most popular western form mindfulness is a practical tool that can catalyze a change in our world view and value system. A basic precondition for learning meditation techniques is to have an open, receptive, feminine attitude. As it is revealed in the present research, tourists poses a significantly elevated level of openness to new experience. This increased openness together with an upward trend for spiritual experiences can create a synergy for certain destinations, accommodation types, tourism locations to expand their service portfolio with meditation based services. While favourable physical and psychological effects of traditional tourism services fade within a few weeks, meditation is a portable tourism product which can be taken home and practiced regularly in a virtually cost-free way. By learning and practicing meditation the extremely poor physical and psychological condition of the Hungarian population could be improved in a preventive and cost-effective way. As the level of mindfulness is positively correlated with sustainable behaviour by offering meditation services tourism might take on a new level of significance in the battle for sustainability.
Risks and competitiveness in agriculture with emphasis on wine sector in Croatia
Authors: Bedek Željka , Njavro Mario
Published: September 2016

International competitiveness, being a key objective of each economic entity, is at the same time significantly determined by the level of risk the entity is coping. Based on the assumption that risk management is directly linked to competitiveness in agribusiness, the scope of this paper is predominantly focused on the wine agribusiness in Croatia. The aim of this paper is to encompass available literature and transfer findings to interested parties, about risks and competitiveness in agriculture, with particular reference to the wine sector. Qualitative analysis of secondary data, descriptive i.e. monographic method, deductive method and comparison of available papers from the world and Croatia were applied in the paper. There are very few companies in general, however, that tend to use their abilities to manage risks as a source of competitive advantage. These companies go beyond compliance or cost-controlling defensive approaches and take a more aggressive stance toward risk. They have realized that their risk management capabilities can be leveraged as a source of competitive advantage (Elahi, 2013). Current literature showed that such companies indirectly exist within global agribusiness. Examples of such companies in the wine sector could be found in Old World and New World wine countries. In regards with the mentioned, further research in the wine sector that would more directly link competitiveness and risk management and benefits that could be drawn from such “linkage” is needed.
Economic results of Croatian farms
Authors: Očić Vesna , Bobić Branka Šakić , Njavro Mario
Published: September 2016

The objective of the paper is to provide an overview of the situation and performance of Croatian farms. Croatian farmers rarely keep business books and therefore farm level business data are deficient. Croatian accession to the European Union in 2013 brought numerous innovations to agricultural sector. One is introduction of Farm Accountancy Data Network (FADN) which aims to determine the impact of the Common Agricultural Policy on national agriculture of EU member states. The sample of Croatian FADN comprises 1,250 commercial farms. The paper brings results of agricultural sector financial analysis for the period 2011-2013. Total farm output decreased, but since the stronger decrease trend occurred in total inputs, this led to positive trend of gross and net farm income in the year 2013. Positive results are also shown at efficiency and productivity of Croatian farms. In the years 2011 and 2012 farms operated below the efficiency level while in 2013 efficiency increased above the efficiency level. In the observed period there was a 70% increase in productivity. The analysis shows that the most efficient farms are those in vegetables and flowers type. It also has the highest debt ratio due to their capital intensiveness. The vegetable and floriculture farms have the largest gross farm income in all three analysed years, but with a large drop in 2013, while the farms in type pigs and poultry have largest increase of gross farm income in last observed year.