bluuebunny/crossref_metadata_2025_split huggingface dataset:
Creative economies in Romania – spatial projections and trends
Authors: Pintilii Radu-Daniel , Peptenatu Daniel , Ciobotaru Ana-Maria , Toma Sorin George , Grigore Ana Maria , Drăghici Cristian-Constantin , Dobrea Răzvan-Cătălin , Simion Adrian Gabriel , Andronache Ion , Teodorescu Camelia , Diaconu Daniel Constantin 
Published: August 2017

AbstractCreative economies are at the heart of the knowledge-based economy. The main objectives of the study are to present the spatial design of the regional systems of creativity in Romania and to identify the evolutionary trends, by creating spatial models for key economic indicators, specific to such economic activities. This paper focuses on how creative economies are concentrated in the national network of settlements and how they differentiate in terms of regional profile. Consequently, a yearly nationwide database was created for 2000-2012, which includes four-digit creative economic activities, according to the Classification of National Economy Activities, for each administrative unit in Romania. The analyses, conducted for the same period, show a concentration of creative economies as a national polycentric network which includes the capital city and cities with over 300,000 inhabitants, as well as their structured territorial systems emerging around them, representing the local and regional polycentric networks. The analysis of the economic profiles highlights the growing share of creative economies in the national economy that tends to contribute more and more to the increase of the operational complexity of the local and regional economies.
Numerical Studies on the Laminar Thermal-Hydraulic Efficiency of Water-Based Al2O3 Nanofluid in Circular and Non-Circular Ducts
Authors: Tiong Angnes Ngieng Tze , Kumar Perumal , Saptoro Agus 
Published: August 2017

Abstract
This research presents the numerical results of laminar forced convective heat transfer performance and the flow behaviour for Al2O3-water nanofluid in circular, 2:1 rectangular, 4:1 rectangular and square ducts. The nanoparticles concentration studied were 0.01%, 0.09%, 0.13%, 0.25%, 0.51%, 1.00% and 4.00%. Single phase constant and temperature-dependent properties were employed. For the case of constant properties, the thermal performance and pressure drop increase with the increase of nanofluid concentration and Reynolds number. For the temperature-dependent properties, the Nusselt number and pressure drop also increase when the Reynolds number increases. However, there is a slight decrement in the Nusselt number and no significant pressure drop increment when the nanofluid concentration is increased from 0.01% to 1.00%. When the concentration is further increased to 4.00%, the Nusselt number and pressure drop increase. For the temperature-dependent model, lower thermal performance and pressure drop are identified when compared to those of the constant properties. The maximum Nusselt number enhancement and pressure drop increment occur at the concentration of 4.00% and Reynolds number of 2000. They are 25.43% and 945.69% as well as 4.86% and 117.01% for constant and temperature-dependent properties, respectively. The thermal-hydraulic efficiency of nanofluid is found to be not as good as the pure water.
Financialization and Income Inequality in Selected European Countries, 2004–2013
Authors: Golebiowski Grzegorz , Szczepankowski Piotr , Wisniewska Dorota 
Published: August 2017

Abstract
The article examines the impact of financialization on income inequality between 2004 and 2013, through a panel analysis of seven European countries. Moreover, it attempts to examine differences in the perception of the phenomenon between the selected European countries belonging to the G-7 and countries from Central and Eastern Europe. The results demonstrate the existence of individual effects, which means that the level of inequality under examination is influenced predominantly by country-specific factors. The most significant correlation is noticeable between the level of unemployment and the degree of income inequality. An increase in unemployment is accompanied by a rise in the disproportions in the level of income that individual citizens have at their disposal whereas a decrease in the unemployment level contributes to an improvement of the GINI coefficient. Simultaneously, the results confirm the existence of significant correlations between the level of the GINI coefficient and such financialization indicators as the share of employment in finance in total employment and the contribution of the financial sector to total value added creation. The most prominent dependency was discovered when a constructed synthetic indicator was adopted as an indicator of financialization. At the same time, analysis of the synthetic country financialization indicator points to a conclusion that the level of financialization is higher in European countries belonging to the G-7 (especially Great Britain) than in countries from Central and Eastern Europe.
Assessing the Financial Distress Risk of Companies Operating Under Conditions of a Negative Cash Conversion Cycle
Authors: Szpulak Aleksandra 
Published: August 2017

Abstract
The purpose of the paper is to point out the accounting-based variables and relationships between them which enable us to measure financial liquidity in a way appropriate for assessing the financial distress risk of companies operating under conditions of a negative Cash Conversion Cycle (CCC). Contrary to the mainstream literature on bankruptcy predictions, mainly based on data modelling nested in statistics, in this article the approach is taken on modelling the bankruptcy process relevant for companies operating under conditions of negative CCC. The applied research methodology adopts Monte Carlo simulations based on a spreadsheet financial model of company operations built to simulate operating cash inflows and outflows generated by companies operating under negative CCC (following a methodology of a spreadsheet approach to financial modeling and risk analysis given by Charnes (2007)). To define financial liquidity measures the concept of Net Liquid Balance (Shulman & Cox, 1985) and cash investment in Operating Working Capital (Szpulak, 2014) is applied. The results enable us to overcome the insufficiency of existing financial liquidity indicators for assessing the financial distress of companies operating under conditions of negative CCC. The additions to theory and practice consist of theoretical underpinnings of a financial distress mechanism possible for companies operating under conditions of negative CCC and definition of financial liquidity measures relevant for these companies.
Selected Effects of Financing Agriculture from a Regional Perspective
Authors: Kołoszko-Chomentowska Zofia , Wojsznis Barbara 
Published: August 2017

AbstractThis paper contains an assessment of changes in the financial and property situation of agricultural holdings in different regions of Poland. In the years 2006-2013, growth of the level of income from a family-owned farm was registered in all regions, but capabilities of reproducing fixed assets and development capabilities varied. Favourable changes in the availability of fixed assets in farms were observed. Regional differences became apparent in the efficiency with which these assets were used. The greatest growth of the value of fixed assets per 1 ha of farmland was registered in the Pomorze and Mazury region. Farms in the Małopolska and Pogórze region were in the most difficult situation, characterized by a permanent inability to reproduce fixed assets and develop.
Some applications of degenerate poly-Bernoulli numbers and polynomials
Authors: Kim Dae San , Kim Taekyun 
Published: August 2017

Abstract
In this paper, we consider degenerate poly-Bernoulli numbers and polynomials associated with a polylogarithmic function and a p-adic invariant integral on

ℤ
p

{\mathbb{Z}_{p}}

. By using umbral calculus, we derive some identities of those numbers and polynomials.
Baseline Mechanical and Neuromuscular Profile of Knee Extensor and Flexor Muscles in Professional Soccer Players at the Start of the Pre-Season
Authors: García-García Oscar , Serrano-Gómez Virginia , Hernández-Mendo Antonio , Morales-Sánchez Verónica 
Published: August 2017

Abstract
The aim of the study was to determine the mechanical and neuromuscular profile of knee extensor and flexor muscles in professional soccer players at the start of the pre-season, and to calculate percentages for symmetry, as well as examine differences according to the player’s positional role. The vastus medialis (VM), vastus lateralis (VL), rectus femoris (RF) and biceps femoris (BF) of 16 professional soccer players were evaluated by means of tensiomyography (TMG) on the first day of the pre-season. A paired-samples t test (p < .05) was used to compare the dominant and non-dominant lower limb. One-way ANOVA was applied, with the positional role as an independent factor. No differences were observed between the dominant and non-dominant leg. The highest degree of symmetry corresponded to the VM (92.5 ± 2.7%), and the lowest to the BF (80.7 ± 10.9%). The positional role was associated with significant differences in some of the variables for the BF, RF and VM, although only the half-relaxation time in the BF and the time to sustain force in the VM differed across all the playing positions considered. TMG was shown to be a useful way of evaluating the neuromuscular characteristics of soccer players at the start of the pre-season, and of establishing baseline values for individual players.
Determinant Factors of the Squat Jump in Sprinting and Jumping Athletes
Authors: González-Badillo Juan José , Jiménez-Reyes Pedro , Ramírez-Lechuga Jorge 
Published: August 2017

Abstract
The aim of this study was to assess the relationship between strength variables and maximum velocity (Vmax) in the squat jump (SJ) in sprinting and jumping athletes. Thirty-two sprinting and jumping athletes of national level (25.4 ± 4.5 years; 79.4 ± 6.9 kg and 180.4 ± 6.0 cm) participated in the study. Vmax in the SJ showed significant relationships with peak force 1 (PF1) (r = 0.82, p ≤ 0.001), peak force 2 (PF2) (r = 0.68, p ≤ 0.001), PF2 by controlling for PF1 (r = 0.30, non-significant), the maximum rate of force development at peak force 1 (RFDmax1) (r = 0.62, p ≤ 0.001), mean RFD 1 (RFDmean1) (r = 0.48, p ≤ 0.01), mean RFD 2 (RFDmean2) (r = 0.70, p ≤ 0.001), force at RFDmax1 (r = 0.36, p ≤ 0.05), force at RFDmax2 (r = 0.83, p ≤ 0.001) and force at RFDmax2 by controlling for PF1 (r = 0.40, p ≤ 0.05). However, Vmax in the SJ was associated negatively with the ratio PF2/PF1 (r = -0.54, p ≤ 0.01), time at peak force 2 (Tp2) (r = -0.64, p ≤ 0.001) and maximum rate of force development at peak force 2 (RFDmax2) (r = -0.71, p ≤ 0.001). These findings indicate that the peak force achieved at the beginning of the movement (PF1) is the main predictor of performance in jumping, although the RFDmax values and the ratio PF2/PF1 are also variables to be taken into account when analyzing the determinant factors of vertical jumping.
Effects of Fluid Ingestion on Brain-Derived Neurotrophic Factor and Cognition During Exercise in the Heat
Authors: Roh Hee-Tae , So Wi-Young , Cho Su-Youn , Suh Sang-Hoon 
Published: August 2017

AbstractWe investigated the effects of fluid ingestion during exercise in different environments on the serum brain-derived neurotrophic factor and cognition among athletes. Ten collegiate male athletes (soccer, n = 5; rugby, n = 5) were enrolled, and they completed running tests in the following four conditions (60 min each): 1) thermoneutral temperature at 18°C (group 18); 2) high ambient temperature at 32°C without fluid ingestion (group 32); 3) high ambient temperature at 32°C with water ingestion (group 32+W); and 4) high ambient temperature at 32°C with sports drink ingestion (group 32+S). Serum brain-derived neurotrophic factor levels significantly increased in group 18 immediately after exercise when compared with those at rest and were significantly higher than those in group 32 immediately and 60 min after exercise (p < 0.05). In the Stroop Color and Word Test, significantly increased Word, Color, and Color-Word scores were observed in group 18 immediately after exercise compared to those at rest (p < 0.05). However, the Color-Word score appeared to be significantly lower in group 32 immediately after exercise compared to the other groups (p < 0.05) and at 60 min post-exercise compared to group 18 (p < 0.05). We found that the exercise performed in a thermoneutral environment improved cognitive function, but the exercise performed in a hot environment did not. The differences according to the exercise environment would be largely affected by brain-derived neurotrophic factor, and fluid ingestion regardless of the type of drink (water or sports beverage) was assumed to have contributed to the improvement in cognitive function caused by exercising in a hot environment.
Distributed Optimization Operation Strategy for Charging Stations Under Demand Response
Authors: Qiu Duo , Zhang Xiongjun , Zhang Lei 
Published: August 2017

AbstractTime-of-use price will be an important demand side management method as a supplement of administrative strategy, which could encourage the electric vehicles to change the charging behaviors. In this paper, for parking garage charging stations with photovoltaic power generation, a pricing model is proposed to encourage different consumers to participate in demand response by providing them with a list of price plans. Firstly, we introduce the system structure of the photovoltaic-assisted charging station. Afterwards, the pricing and dispatch model for the charging station is proposed, aiming to achieve maximum profit. The formulated objective for this model is to maximize the profit of selling electricity to electric vehicles and back to the grid, feed-in-tariffs revenue and parking revenue or to minimize charging station’s cost of purchasing electricity, while considering various electric vehicles demands. The decision variables for charging station include the time-of-use price, the rebate on parking fee and the charging/discharging power. To solve this model, the distributed alternating direction method of multipliers is adopted to determine the operational strategies of charging stations via local decision making and limited communication between adjacent charging stations. Finally, according to the simulation results, the optimal time-of-use pricing strategy for charging stations can play an important role in shaving the peak loads. Besides, the interconnected charging stations coordinated operation can enhance the overall system operational flexibility and reliability.
Intelligent Performance Analysis with a Natural Language Interface
Authors: Juuso Esko K. 
Published: August 2017

Abstract
Performance improvement is taken as the primary goal in the asset management. Advanced data analysis is needed to efficiently integrate condition monitoring data into the operation and maintenance. Intelligent stress and condition indices have been developed for control and condition monitoring by combining generalized norms with efficient nonlinear scaling. These nonlinear scaling methodologies can also be used to handle performance measures used for management since management oriented indicators can be presented in the same scale as intelligent condition and stress indices. Performance indicators are responses of the process, machine or system to the stress contributions analyzed from process and condition monitoring data. Scaled values are directly used in intelligent temporal analysis to calculate fluctuations and trends. All these methodologies can be used in prognostics and fatigue prediction. The meanings of the variables are beneficial in extracting expert knowledge and representing information in natural language. The idea of dividing the problems into the variable specific meanings and the directions of interactions provides various improvements for performance monitoring and decision making. The integrated temporal analysis and uncertainty processing facilitates the efficient use of domain expertise. Measurements can be monitored with generalized statistical process control (GSPC) based on the same scaling functions.
Aggregation of Electric Current Consumption Features to Extract Maintenance KPIs
Authors: Simon Victor , Johansson Carl-Anders , Galar Diego 
Published: August 2017

AbstractAll electric powered machines offer the possibility of extracting information and calculating Key Performance Indicators (KPIs) from the electric current signal. Depending on the time window, sampling frequency and type of analysis, different indicators from the micro to macro level can be calculated for such aspects as maintenance, production, energy consumption etc. On the micro-level, the indicators are generally used for condition monitoring and diagnostics and are normally based on a short time window and a high sampling frequency. The macro indicators are normally based on a longer time window with a slower sampling frequency and are used as indicators for overall performance, cost or consumption. The indicators can be calculated directly from the current signal but can also be based on a combination of information from the current signal and operational data like rpm, position etc. One or several of those indicators can be used for prediction and prognostics of a machine’s future behavior. This paper uses this technique to calculate indicators for maintenance and energy optimization in electric powered machines and fleets of machines, especially machine tools.
How to approach heterogeneous protein expression for biotechnological use: An overview
Authors: Jamrichová Daniela , Tišáková Lenka , Jarábková Veronika , Godány Andrej 
Published: August 2017

AbstractProduction of recombinant proteins in Escherichia coli expression systems has shown many advantages, as well as disadvantages, especially for biotechnological and other down-stream applications. The choice of an appropriate vector depends on the gene, to be cloned for purification procedures and other analyses. Selection of a suitable production strain plays an important role in the preparation of recombinant proteins. The main criteria for the selection of the host organism are the properties of the recombinant produced protein, its subsequent use and the total amount desired. The most common problems in eukaryotic gene expression and recombinant proteins purification are, for instance, post-translational modifications, formation of disulphide bonds, or inclusion bodies. Obtaining a purified protein is a key step enabling further characterization of its role in the biological system. Moreover, methods of protein purification have been developed in parallel with the discovery of proteins and the need for their studies and applications. After protein purification, and also between the individual purification steps, it is necessary to test protein stability under different conditions over time. Shortly, all the essential points have been briefly discussed, which could be encountered during production and purification of a recombinant protein of interest, especially from eukaryotic source and expressed heterogeneously in prokaryotic production system.
Utilization of poplar wood sawdust for heavy metals removal from model solutions
Authors: Demcak Stefan , Balintova Magdalena , Hurakova Maria , Frontasyeva Marina V. , Zinicovscaia Inga , Yushin Nikita 
Published: August 2017

AbstractSome kinds of natural organic materials have a potential for removal of heavy metal ions from wastewater. It is well known that cellulosic waste materials or by-products can be used as cheap adsorbents in chemical treatment process. In this paper, poplar wood sawdust were used for removal of Cu(II), Zn(II) and Fe(II) ions from model solutions with using the static and dynamic adsorption experiments. Infrared spectrometry of poplar wood sawdust confirmed the presence of the functional groups which correspond with hemicelluloses, cellulose and lignin. At static adsorption was achieved approximately of 80 % efficiency for all treated model solutions. Similar efficiency of the adsorption processes was reached after 5 min at dynamic condition. The highest efficiency of Cu(II) removal (98 %) was observed after 30 min of dynamic adsorption. Changes of pH values confirmed a mechanism of ion exchange on the beginning of the adsorption process.
Imaging of photoassimilates transport in plant tissues by positron emission tomography
Authors: Partelová Denisa , Kuglerová Klára , Konotop Yevheniia , Horník Miroslav , Lesný Juraj , Gubišová Marcela , Gubiš Jozef , Kováč Peter , Matušíková Ildikó 
Published: August 2017

AbstractThe current findings show that positron emission tomography (PET), primarily developed for medical diagnostic imaging, can be applied in plant studies to analyze the transport and allocation of wide range of compounds labelled with positronemitting radioisotopes. This work is focused on PET analysis of the uptake and transport of 2-deoxy-2-fluoro[18F]-D-glucose (2-[18F]FDG), as a model of photoassimilates, in tissues of giant reed (Arundo donax L. var. versicolor) as a potential energy crop. The absorption of 2-[18F]FDG and its subsequent transport in plant tissues were evaluated in both acropetal and basipetal direction as well. Visualization and quantification of the uptake and transport of 2-[18F]FDG in plants immersed with the root system into a 2-[18F]FDG solution revealed a significant accumulation of 18F radioactivity in the roots. The transport rate in plants was increased in the order of plant exposure through: stem > mechanically damaged root system > intact root system. PET analysis in basipetal direction, when the plant was immersed into the 2-[18F]FDG solution with the cut area of the leaf of whole plant, showed minimal translocation of 2-[18F]FDG into the other plant parts. The PET results were verified by measuring the accumulated radioactivity of18F by direct gamma-spectrometry.
Comparison of bioindicator eukaryotes of activated sludge biocenoses on two water-treatment plants: a case study
Authors: Achmadulina Farida Y. , Zakirov Rustem K. , Balymova Elena S. , Denisova Vera , Brovdyová Taťjána , Trögl Josef , Neruda Martin 
Published: August 2017

Abstract
Activated sludge biocenoses were compared on waste-water treatment plants in the city of Kazan, Russian Federation and the city of Teplice, Czech Republic. Based on Palia-Kovnatski index, Acanthamoeba in Kazan, Epistylis in Teplice, and Acanthamoeba and Centropyxis were dominant genera in both plants. The major subdominant generas identified were Arcella, Opercularia and Aspidisca. This indicates high nitrification ability, high water purification potential and matured activated sludge. Chemical composition of the waste-water was identified as the main factor determining the sludge biocenoses diversity. Higher sludge biodiversity (Shannon, Margalef, and Sorensen indexes) was found in Kazan corresponding to more concentrated inflow water.