bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Prototype Model for Semantic Segmentation of Curvilinear Meandering Regions by Deconvolutional Neural Networks
Authors: Romanuke Vadim 
Published: July 2020

Abstract
Deconvolutional neural networks are a very accurate tool for semantic image segmentation. Segmenting curvilinear meandering regions is a typical task in computer vision applied to navigational, civil engineering, and defence problems. In the study, such regions of interest are modelled as meandering transparent stripes whose width is not constant. The stripe on the white background is formed by the upper and lower non-parallel black curves so that the upper and lower image parts are completely separated. An algorithm of generating datasets of such regions is developed. It is revealed that deeper networks segment the regions more accurately. However, the segmentation is harder when the regions become bigger. This is why an alternative method of the region segmentation consisting in segmenting the upper and lower image parts by subsequently unifying the results is not effective. If the region of interest becomes bigger, it must be squeezed in order to avoid segmenting the empty image. Once the squeezed region is segmented, the image is conversely rescaled to the original view. To control the accuracy, the mean BF score having the least value among the other accuracy indicators should be maximised first.
The Construction of Effective Multi-Dimensional Computer Designs of Experiments Based on a Quasi-Random Additive Recursive Rd-sequence
Authors: Halchenko Volodymyr , Trembovetska Ruslana , Tychkov Volodymyr , Storchak Anatolii 
Published: July 2020

Abstract
Uniform multi-dimensional designs of experiments for effective research in computer modelling are highly demanded. The combinations of several one-dimensional quasi-random sequences with a uniform distribution are used to create designs with high homogeneity, but their optimal choice is a separate problem, the solution of which is not trivial. It is believed that now the best results are achieved using Sobol’s LPτ-sequences, but this is not observed in all cases of their combinations. The authors proposed the creation of effective uniform designs with guaranteed acceptably low discrepancy using recursive Rd-sequences and not requiring additional research to find successful combinations of vectors set distributed in a single hypercube. The authors performed a comparative analysis of both approaches using indicators of centred and wrap-around discrepancies, graphical visualization based on Voronoi diagrams. The conclusion was drawn on the practical use of the proposed approach in cases where the requirements for the designs allowed restricting to its not ideal but close to it variant with low discrepancy, which was obtained automatically without additional research.
Who makes the city? The evolution of Galway city
Authors: Collins Patrick 
Published: July 2020

Abstract
This paper sets out to better understand the roles of various actors and actions in the ‘making’ of Galway city. From the formation of the state, with a population of just over 14,000, the city has enjoyed population growth rates above EU and Irish averages over the past three decades. This paper maps a series of growth phases resulting from sometimes deliberate and other times non-deliberate policy decisions. The theoretical lens adopted is that of evolutionary economic geography. This is an attempt to counteract the tendency in broader social science research to underplay geographical aspects, such as places, space and scales. Economic geography – and evolutionary economic geography in particular – better identifies the complexity and nuance of place development. Theorists such as Boschma (2017) and Martin & Sunley (2015) consider development as a path-dependent process. Development is situated and place-based. This requires a more historically attuned perspective and a recognition that the role played by institutions, government and policy is vital. The paper concludes with a broad reflection on the role of spatial development policy and the potential future development of the city.
On the exact solutions to some system of complex nonlinear models
Authors: Sulaiman Tukur Abdulkadir , Bulut Hasan , Baskonus Haci Mehmet 
Published: July 2020

AbstractIn this manuscript, the application of the extended sinh-Gordon equation expansion method to the Davey-Stewartson equation and the (2+1)-dimensional nonlinear complex coupled Maccari system is presented. The Davey-Stewartson equation arises as a result of multiple-scale analysis of modulated nonlinear surface gravity waves propagating over a horizontal seabed and the (2+1)-dimensional nonlinear complex coupled Maccari equation describes the motion of the isolated waves, localized in a small part of space, in many fields such as hydrodynamic, plasma physics, nonlinear optics. We successfully construct some soliton, singular soliton and singular periodic wave solutions to these two nonlinear complex models. The 2D, 3D and contour graphs to some of the obtained solutions are presented.
On Iteration of Bijective Functions with Discontinuities
Authors: Fripertinger Harald 
Published: July 2020

Abstract
We present three different types of bijective functions f : I → I on a compact interval I with finitely many discontinuities where certain iterates of these functions will be continuous. All these examples are strongly related to permutations, in particular to derangements in the first case, and permutations with a certain number of successions (or small ascents) in the second case. All functions of type III form a direct product of a symmetric group with a wreath product. It will be shown that any iterative root F : J → J of the identity of order k on a compact interval J with finitely many discontinuities is conjugate to a function f of type III, i.e., F = φ−

1 ∘ f ∘ φ where φ is a continuous, bijective, and increasing mapping between J and [0, n] for some integer n.
Some Kinds of Sparseness on the Real Line and Ideals on ω
Authors: Filipczak Małgorzata , Horbaczewska Grażyna 
Published: July 2020

Abstract
We show that a large class of summable ideals can be defined using a certain kind of “sparseness” of subsets of the line near zero, but it is still an open question whether this gives a characterization of the whole class.
Generalization of the Harmonic Weighted Mean Via Pythagorean Invariance Identity and Application
Authors: Kahlig Peter , Matkowski Janusz 
Published: July 2020

Abstract
Under some simple conditions on the real functions f and g defined on an interval I ⊂ (0, ∞), the two-place functions Af
(x, y) = f (x) + y − f (y) and

G
g

(

x
,
y

)

=

g

(
x
)

g

(
y
)

y

{G_g}\left({x,y} \right) = {{g\left(x \right)} \over {g\left(y \right)}}y

generalize, respectively, A and G, the classical weighted arithmetic and geometric means. In this note, basing on the invariance identity G ∘ (H, A) = G (equivalent to the Pythagorean harmony proportion), a suitable weighted extension Hf,g
of the classical harmonic mean H is introduced. An open problem concerning the symmetry of Hf,g
is proposed. As an application a method of effective solving of some functional equations involving means is presented.
Image Analysis as a Method of the Assessment of Yarn for Making Flat Textile Fabrics
Authors: Idzik Marcin , Idzik Marek 
Published: July 2020

AbstractDuring the technological processing of staple fibers into yarn drafting, waves are formed which increase the irregularity of yarn linear density and consequently affect the yarn quality. Even a correctly performed technological process does not allow one to completely eliminate yarn faults (thin and thick places, neps) and yarn irregularity. All the yarn imperfections distinctly become apparent in flat textiles made of such a yarn. The quality of the yarn produced should be assessed already in spinning mill, using the results obtained to conclude on the quality of woven or knitted fabrics. Modern metrological laboratories in spinning mills possess Uster Tester 5 (UT5) apparatuses that not only assess the yarn quality with respect to the irregularity of linear density, faults (thin and thick places, neps), or hairiness, but also using the test results obtained make it possible to create a digital image of the predicted appearance of a flat fabric made of the yarn tested. This article presents a computer-aided method of the analysis of the woven and knitted fabric images obtained from UT5 that allows one to assess the significance of particular yarn parameters in the predicted appearance of flat fabrics.
The Impact and Importance of Fabric Image Preprocessing for the New Method of Individual Inter-Thread Pores Detection
Authors: Owczarek Magdalena 
Published: July 2020

Abstract
The paper describes the impact and importance of preprocessing methods of fabric image for detection of inter-thread pores (ITP), which is a new method of individual ITP identification. The aim of this experiment is to identify precisely every individual ITP of fabric structure by using optimal preprocessing algorithm for further quantitative, morphometric structural analysis of specialized fabrics (barriers, industrial filters, composites, others) in context of air permeability, flow resistance, UV radiation, viruses penetration, thermal comfort by estimation fabric porosity, especially macroporosity parameters and cover factor. The correct identification of individual ITP depends on the acquisition method and the preprocessing algorithm. It was conducted by analyzing the adaptation of digital image preprocessing methods for two structures of plain weave fabric in two magnification zooms, 1.25 and 0.8. Preprocessing operations were performed in the area of spatial operations of the image. The optimal preprocessing algorithm includes low-pass filtering, histogram equalization, nonlinear filtering, thresholding, and morphological operation. This algorithm was selected based on the factors developed by the author (ITP detection, RID factor—a difference between the real and model ITP areas) which rely on the ITP size, shape, and location. The graphic view of the ITP contour position on the fabric image is a verification element in the optimal preprocessing algorithm. The presented results of the air permeability of two different plain weave structures confirm the need to optimize the algorithm of pre-image processing methods to precisely detect each individual ITP in the fabric image.
Electro-Magnetic Behavior of Highly Correlated Fluorides KFeF3, KCoF3and KNiF3: A ComparativeAb-initioStudy of Cation Effect
Authors: Filalli Sihem , Hamdad Noura 
Published: July 2020

AbstractFluorides-based perovskites are currently the typical materials being used in spintronic devices, optoelectronic and magneto-resistance colossal fields. Solar cells made of Fluoro-perovskite hold much promise for the future of solar energy. The electronic structure and magnetic properties of KFeF3, KCoF3and KNiF3Fluorides are studied using ab initio Calculation. We have analysed the structural phases, total and partial electronic densities and band structures within the (DFT) vs the DFT+U description. We show the Electro-Magnetic Behavior using L(S)DA+U vs L(S)DA in a comparative study of cation effect by integrating three types of crystal structures (Cubic (Pm-3m), Four-Layered Hexagonal (P6/mmc), and Orthorhombic (Pnma)). Equilibrium lattices agree very well with experimental and theoretical data. Magnetic moment of each phase is discussed. The obtained results confirmed that the three crystal structures invested here exhibit Ferromagnetic (FM) behavior. The introduction of the Hubbard’s parameter U increases lattice parameters and magnetic moment. We deduce that the second cation plays an important role in the magnetic effects. L(S)DA+U show correctly that KFeF3, KCoF3and KNiF3are insulators.
Persuasive or Pipe Dream? The Potential Influence of the Feminist Judgments Project on Future Judical Decision Making
Authors: Webber Nuñez Kate 
Published: July 2020

Abstract
The Feminist Judgments Project (“FJP” or the “Project”) rewrites existing judicial opinions from a feminist perspective. This article explores whether and how the FJP's alternative jurisprudence can influence future legal decisions. The FJP seeks to change the law by revealing unconscious bias and opening judicial minds to previously unknown perspectives - a method that draws on psychological theories of decision making such as cultural cognition. This article takes a different approach and evaluates the FJP using theories from political science. In light of the increasingly conservative judiciary and the Republican administration, the attitudinal and strategic theories of decision making would give the FJP little prospect of actually influencing the law. Thus, this article focuses on historical institutionalism to present a theoretical explanation for why and how the FJP's re-envisioned law could possibly persuade the judiciary. Specifically, the article examines the degree to which the FJP draws on social facts highlighted by the #MeToo and LGBTQ rights movements and whether the Project thereby creates the conditions for social construction and resultant legal change. It also uses theories on displacement to present a critique of the FJP's more radical re-writes and points to the more moderate approach of ideational salience amplification as effective. Ultimately, it concludes that the FJP's path of persuasion is somewhat narrow and limited, but possible.
Modelling and forecasting GDP using factor model: An empirical study from Bosnia and Herzegovina
Authors: Abdić Ademir , Resić Emina , Abdić Adem 
Published: July 2020

Abstract
In the most developed countries the first estimations of Gross Domestic Product (GDP) are available 30 days after the end of the reference quarter. In this paper, possibilities of creating an econometric model for making short-term forecasts of GDP in B&H have been explored. The database consists of more than 100 daily, monthly and quarterly time series for the period 2006q1-2016q4. The aim of this study was to estimate and validate different factor models. Due to the length limit of the series, the factor analysis included 12 time series which had a correlation coefficient with a quarterly GDP at the absolute value greater than 0.8. The principal component analysis (PCA) and the orthogonal varimax rotation of the initial solution were applied. Three principal components are extracted from the set of the series, thus together accounting for 73.34% of the total variability of the given set of series. The final choice of the model for forecasting quarterly B&H GDP was selected based on a comparative analysis of the predictive efficiency of the analysed models for the in-sample period and for the out-of-sample period. The unbiasedness and efficiency of individual forecasts were tested using the Mincer-Zarnowitz regression, while a comparison of the accuracy of forecast of two models was tested by the Diebold-Mariano test. We have examined the justification of a combination of two forecasts using the Granger-Ramanathan regression. A factor model involving three factors has shown to be the most efficient factor model for forecasting quarterly B&H GDP.
Threats and Opportunities for Global Food Companies: Identifying Social and Environmental Issues in Food Value Chain to Create Shared Value
Authors: Kherchi Ishak 
Published: July 2020

Abstract

Purpose: This paper aims to identify social and environmental issues in value chain of food companies to create shared value. We provided most affecting social and environmental issues on businesses companies value chain; in addition to that we provided some solutions to social and environmental problems based on shared value concept.

Design/methodology/approach: The authors provide a proposed approach based on the specificity of problems and issues in agricultural and global food companies. The objective is to identify environmental and social issues in food value chain in order to invest in these issues to create shared value.

Findings: We found that every primary and secondary activity within food value chain is characterized by some social and environmental problems. We analyzed these social and environmental issues in every single activity. In addition to that we provided proposed solutions to these social and environmental issues using shared value concept in every single activity within company value chain.

Research limitations/implications: This research paper determines social and environmental issues in value chain for food global companies; however, more research is needed to find other social and environmental issues in other sectors.

Practical implications: This overview may help and give ideas to owners and managers of food companies to rethink their overall value chain by detecting environmental and social issues and used shared value concept to turn these environmental and social issues into a business opportunity.
Originality/value: A unique view of value chain analyzed by identifying environmental and social issues using shared value concept.
Demographic Trends and the Educational System of the Republic of Srpska
Authors: Pašalić Stevo , Mastilo Zoran , Đurić Aleksandar , Marković Duško 
Published: July 2020

Abstract
The subject of this research are the demographic trends and the educational system of the Republic of Srpska. The aim of the research is to define the concepts required to comprehend the demographic trends and to explore their implications for the educational system of the Republic of Srpska. In order to establish sustainable development in the Republic of Srpska, education being a key component therein, it is necessary to perceive its demographic resources in order to create an educational system. By means of empirical research with a presentation of results through factor and cluster analysis, generated quantitative and qualitative indices of demographic resources, particularly in the educational system. The Republic of Srpska as a whole belongs to type D, featuring poor demographic resources and characteristics, as well as prominent demographic disparities regarding spatial development. However, in order to increase the coverage, relevance and efficiency of completion of the education process, it is necessary to determine the strategic commitments to be accomplished together with certain quantitative demographic indicators of the achievement level (educational coverage of different generations). Demographic changes will pose a major challenge for policy makers and to the society in general across the upcoming decades and will require shaping new economic, tax, health, pension, educational, social, family and other policies that affect demographic changes. The research endeavour in this paper focuses on that very aspect, together with the respective applicative capabilities.
Roles of Patents in Economic Development and Integration
Authors: Tanane Omar 
Published: July 2020

Abstract
In this paper we have worked on a number of documents and articles published to find a relationship between patents and the economic growth of countries. We have found that patents and their applications are important for economic growth. The patent is not always a global indicator of all the technological knowledge produced, since a considerable number of technological know-how remains in the form of business secrets or sometimes the technology is published in scientific articles.
The patent can be an economic policy instrument to encourage investment in research and development. More patents lead to more innovations and vice versa. The patent is a vector of economic growth through the promotion of innovation.
Central and South – Eastern Europe Banking Sectors in the Sustainable Development Function
Authors: Vunjak Nenad , Dragosavac Miloš , Vitomir Jelena , Stojanović Petra 
Published: July 2020

Abstract
Changes in banking sectors with the onset of the global financial crisis were related to: globalization, sector deregulation, technological change and financial innovation. Structural changes within banking services (at the end of the 20th century) relate to: the consolidation of banks, the merging of banking and non-banking financial institutions and their competition with one another. Significant place in the part of sustainable development belongs to bank performance, vision and mission of banks. The corporate vision of banks should be the “framework” for the future development of a bank. The corporate mission should be a “roadmap” to the realization of the bank’s vision and an expression of the business philosophy of the bank in question.
It is of particular importance for the banking sectors of the CEE countries to define: the vision, the mission, the situational analysis and the planned long-term goals of the bank. With the advent of the global financial crisis, the financial activity of banks in the Central and Southeastern European region decreased, as the number of attractive fusion and acquisition banks in the region concerned was reduced.
The aim of the research is to determine the importance of the vision, mission and clearly set goals in banks, where the analysis of banking sectors in 13 countries over a period of 11 years was carried out. The analysis of GDP and its growth in the period from 2008 to 2018 indicates a dynamic growth in the countries of Central Europe and some countries of Southeast Europe. The analysis of the assets of the banking sector and its share in GDP indicates the dominant participation of the countries of Central and Southeastern Europe that are members of the European Union relative to the candidate countries for EU member states. Analysis of the banking sector of the influx countries shows that more than 70% of the banking market in Southeast European countries is influenced by foreign highly developed banking groups. Sustainable development can only be achieved through the active joint action of the banking sectors of the Central and Southeast European countries.
Leader as a European Policy for Rural Development in a Multilevel Governance Framework: A Comparison of the Implementation in France, Germany and Italy
Authors: Pollermann Kim , Aubert Francis , Berriet-Solliec Marielle , Laidin Catherine , Lépicier Denis , Pham Hai Vu , Raue Petra , Schnaut Gitta 
Published: July 2020

Abstract
Parts of European rural development policies are meant to empower local decision makers. These policies are implemented in very different multilevel governance contexts in the member states. We question the extent to which the institutional differences at the different levels affect the implementation of LEADER (an approach for Community-led Local Development). This contributes to a better understanding of the causes and consequences of different types of LEADER implementation. The research is based on ten case studies in France, Germany and Italy. First, there is an examination of the three different administration systems and the variations of Rural Development Programmes. Based on analyses of documents and interviews with stakeholders, we analysed institutional differences in the LEADER implementation at local level.