bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of the expression of genes associated with post-translational changes in histones in the internal thoracic artery and the saphenous vein grafts used in coronary artery bypass grafting procedure
Authors: Kałużna Sandra , Nawrocki Mariusz J. , Bryl Rut , Stefańska Katarzyna , Jemielity Marek , Mozdziak Paul , Nowicki Michał , Perek Bartłomiej 
Published: January 2021

Abstract
Coronary artery disease (CAD) is one of the leading causes of mortality in the world. The most advanced forms of CAD are usually treated by means of coronary artery bypass grafting (CABG). The selection of the appropriate vessels as aortocoronary conduits is of paramount importance. The internal thoracic artery (ITA) or the great saphenous vein (SV) are often harvested. Furthermore, epigenetic processes have been recently associated with atherosclerosis, hypertension, and heart failure, and post-translational histone processes may play a key role in understanding the genetic predisposition of vessels to vascular diseases.
In the experiment performed, the transcript levels of JHDM1D, PHF8, and HDAC 1-3 in SV and ITA used for CABG procedures with RT-qPCR were examined. Total RNA was isolated by the method of Chomczyński and Sachi. RNA samples were reverse transcribed into cDNA using a commercial kit. The determination of the level of the transcripts of the mentioned genes was performed using the Light Cycler® 96 Real-Time PCR kit. Our analyzes confirmed that the studied genes related to post-translational modifications of histones are expressed in SV and ITA. In the saphenous vein, the expression of each of the individual genes was higher. The most considerable difference in transcript levels was recorded for HDAC1 and the smallest difference in expression for HDAC2.
Our research suggests that more processes related to histone demethylation and acetylation occur in the saphenous vein, which may affect the selection of a vessel for CABG, but this research requires more research and additional analysis.

Running title: Histone regulating gene expression in common coronary artery bypass graft vessels
Between Rudimentary and Artistic: Decorated Starčevo-Criș Pots
Authors: Tudorie Anamaria 
Published: January 2021

Abstract
The article presents new information regarding the percentual distribution of Starčevo-Criș decorated pottery, using the information on the Early Neolithic discoveries from the sites of Miercurea Sibiului-Petriș (Sibiu County), Turdaș-Luncă (Hunedoara County), Săliștea (Alba County), Cristian I (Sibiu County) and Cristian III (Sibiu County). Excepting Miercurea Sibiului-Petriș and Cristian I sites for which, besides the information about the category, color, temper, surface treatment, firing and morphology of this pottery were published in different volumes or articles, also some data regarding the different percentages on types of ornaments were published. This time, the author discusses globally the total amount of decorated pottery, taking into consideration also the relative chronological framings for each of the sites
The Central Area of a“ Square” from the Time of Turdaș Culture Turdaș-Luncă. 2011 Campaign. Sector C The Architectural Horizon before the great Migration from Turdaș
Authors: Perianu Florentin 
Published: January 2021

Abstract
The preventive excavation from 2011, at Turdaș-Luncă, led to the discovery of over 2000 archaeological features. Among them is feature 959. Through this article we want to continue the series of publications related to the preventive excavation of 2011 and highlight certain aspects related to a possible organization of the communities that lived here.
Interval Sheffer Stroke Basic Algebras and Yang-Baxter Equation
Authors: Oner Tahsin , Katican Tugce 
Published: January 2021

Abstract
In this study, we give basic definitions and notions about Sheffer stroke operation and Sheffer stroke basic algebra. After presenting Sheffer stroke basic algebra on a given interval, named interval Sheffer stroke basic algebra, we give some features of an interval Sheffer stroke basic algebra. Then we investigate solutions to the set-theoretical Yang-Baxter equation in this algebraic structure by using its features.
Limiting Case of the Spin Hypersurface Dirac Operator arising in the positive mass theorem for black holes
Authors: Eker Serhan 
Published: January 2021

Abstract
In this paper, we give an explicit form of the scalar curvaure for the limiting case of the eigenvalue of the hypersurface Dirac operator which arises in the positive mass theorem for black holes. Then, we show that the hypersurface is an Einstein.
A novel family of 1-D robust chaotic maps
Authors: Mandal Dhrubajyoti 
Published: January 2021

Abstract
Chaotic dynamics of various continuous and discrete-time mathematical models are used frequently in many practical applications. Many of these applications demand the chaotic behavior of the model to be robust. Therefore, it has been always a challenge to find mathematical models which exhibit robust chaotic dynamics. In the existing literature there exist a very few studies of robust chaos generators based on simple 1-D mathematical models. In this paper, we have proposed an infinite family consisting of simple one-dimensional piecewise smooth maps which can be effectively used to generate robust chaotic signals over a wide range of the parameter values.
Exact solutions of (2 + 1)-Ablowitz-Kaup-Newell-Segur equation
Authors: Durur Hülya , Yokuş Asif 
Published: January 2021

Abstract
The aim of the present study is to obtain different types of hyperbolic type solutions of the (2+1)-Ablowitz-Kaup-Newell-Segur (AKNS) equation. In order to construction exact solutions of AKNS equation, (1/G′)-expansion method is successfully applied. At the end of this application, singular soliton wave with considerable importance for the shock wave structure and asymptotic behavior employees have emerged. By giving arbitrary values to the constants in the solutions obtained, 3D, 2D and contour graphics are presented. The method used in this article can be used in other nonlinear differential equations (NPDEs) as it is reliable, easy and effective. Ready package programs are used to solve complex and difficult processes in this study.
Association patterns between 2D:4D ratio and age at menarche: the impact of methodology
Authors: Eresheim Rebecca , Schaufler Savannah , Kirchengast Sylvia 
Published: January 2021

The ratio of index finger to ring finger length (2D:4D) is a sexually dimorphic feature and widely used as an indicator of prenatal androgen-estrogen exposure. Several studies have investigated the relationship between the 2D:4D ratio and the onset of the first menstrual period (menarche) in women.
The present study tested the association patterns between 2D:4D ratio and age at menarche. Furthermore, the impact of methods of measuring finger lengths was considered.
Two samples were used to conduct the study. One sample consisted of 110 women who self-measured their finger lengths. The finger length measurements in the second sample (88 women) were taken from one trained observer using the caliper-based technique. Age at menarche was determined using a retrospective method.
Women from the first sample reported an average age for the onset of the first menstrual bleeding at 12.9 (SD = 1.4) years of age. There was no significant association between the left and right 2D:4D ratio and the age at menarche. The second sample showed a mean age at menarche at 12.8 (SD = 1.3) years of age. Here, the right hand 2D:4D ratio and age at menarche were significantly correlated (p<0.001).
A more feminine 2D:4D ratio was significantly associated with an earlier menarcheal age only in the sample with direct finger length measurements by a trained investigator. The sample using self-measure­ments yielded no significant associations between menarcheal age and 2D:4D. The use of a reliable and well-founded methodology is essential for obtaining meaningful results.
Comparative Study of the Energetic Electrons Registered Together with the Broad Band Emissions in Different Regions of the Ionosphere
Authors: Błęcki Jan , Wronowski Roman , Słomiński Jan , Savin Sergey , Iwański Rafał , Haagmans Roger 
Published: January 2021

Abstract
ELF/VLF waves have been registered in the outer polar cusps simultaneously with high energy electrons fluxes by the satellites Magion 4 (subsatellite to Interball 1), Polar and CLUSTER. Further, we discuss similar observations in the different regions of the ionosphere, where DEMETER registered energetic electrons. The DEMETER satellite operating on the nearly polar orbit at the altitude 650 km crossed different regions in the ionosphere. Registrations of ELF/VLF/HF waves together with the energetic electrons in the polar cusp, in the ionospheric trough and over thunderstorm areas are presented in this paper. The three satellites of ESA’s Swarm mission provide additional information on the ELF waves in the mentioned areas together with electron density and temperature. A brief discussion of the generation of these emissions by the so-called “fan instability” (FI) and beam instability is presented.
Performance Evaluation of Precise Point Positioning Using Dual Frequency Multi-GNSS Observations
Authors: Malik Jabir Shabbir 
Published: January 2021

Abstract
In addition to GPS and GLONASS constellation, the number of (Global Navigation Satellite System) GNSS satellites are increasing, it is now possible to evaluate and analyze the position accuracy with multi GNSS constellation. In this paper, statistical assessment of static Precise Point Positioning (PPP) using GPS, GLONASS, dual system GPS/GLONASS, three system GPS/GLONASS/Galileo, GPS/GLONASS/BeiDou and multi system GPS/GLONASS/Galileo/BeiDou PPP combinations is evaluated. Observation data of seven whole days from seven IGS multi GNSS experiment (MGEX) stations is used for analysis. Position accuracy and convergence time is analyzed. Results show that the GPS/GLONASS positioning accuracy increases over GPS PPP. Standard deviations (STDs) of position errors for GPS PPP are 4.63, 3.00 and 6.96 cm in east, north and up components while STDs for GPS/GLONASS PPP are 4.10, 3.42 and 6.50 cm respectively. Root mean square for three dimension (RMS3D) for GPS/GLONASS PPP solution is 8.96 cm. With the addition of Galileo and BeiDou to the combined GPS/GLONASS further enhances the positioning accuracy. Root mean square for horizontal component reach to 5.35 cm of GPS/GLONASS/Galileo/BeiDou PPP solutions. Results analysis of GPS/GLONASS/Galileo PPP solutions show an improvement of convergence time by only 3.81% to achieve accuracy level of 3.0 cm over GPS/GLONASS/BeiDou PPP mode. Results also demonstrate that position accuracy improvement after adding BeiDou observations to the GPS/GLONASS PPP mode is not significant.
Thermosolutal Convection in a Porous Medium Cavity Subjected to Heat and Mass Flux: A Discrete Fracture Effect
Authors: Aouf Zakaria , Seladji Chakib 
Published: January 2021

Abstract
Species separation in heterogeneous porous media is a field of interest of many industrial activities. In our investigation, the effect of a single discrete fracture on the thermosolutal convection coupled with the Soret effect have been analyzed. The main results show that the fracture can greatly affect the behavior of the thermogravitational flow and might play a positive role to the separation caused by the Soret effect. Furthermore, the fracture tilted to the cold wall causes a large separation compared to the one tilted to the hot wall with the same angle. Therefore, the separation process could be greatly improved.
Corrosion Resistance of Coatings Produced by Spraying Powders Under a Laser Beam in a Saline Environment NaCl 3% by the Electrochemical Method
Authors: Aouici Samia , Boussaha El Hadi , Krid Ferial , Mechati Fadia 
Published: January 2021

Abstract
The manuscript focuses on the study of corrosion resistance in NaCl medium of a 304L type stainless steel after application of protective nickel-based and cobalt-based coatings produced by powder spraying under a continuous CO2 laser (10.6 µm wavelength) beam. Using polarization and electrochemical impedance spectroscopy methods, the results found confirm that metallic coatings produced under high energy beams offer excellent protection up to an efficiency of E = 98.12% in aggressive environments with salinity to 3%.
High Performance Machine Learning Models of Large Scale Air Pollution Data in Urban Area
Authors: Gocheva-Ilieva Snezhana G. , Ivanov Atanas V. , Livieris Ioannis E. 
Published: January 2021

Abstract
Preserving the air quality in urban areas is crucial for the health of the population as well as for the environment. The availability of large volumes of measurement data on the concentrations of air pollutants enables their analysis and modelling to establish trends and dependencies in order to forecast and prevent future pollution. This study proposes a new approach for modelling air pollutants data using the powerful machine learning method Random Forest (RF) and Auto-Regressive Integrated Moving Average (ARIMA) methodology. Initially, a RF model of the pollutant is built and analysed in relation to the meteorological variables. This model is then corrected through subsequent modelling of its residuals using the univariate ARIMA. The approach is demonstrated for hourly data on seven air pollutants (O3, NOx, NO, NO2, CO, SO2, PM10) in the town of Dimitrovgrad, Bulgaria over 9 years and 3 months. Six meteorological and three time variables are used as predictors. High-performance models are obtained explaining the data with R2 = 90%-98%.
Evaluating Machine Learning Approaches for Discovering Optimal Sets of Projection Operators for Quantum State Tomography of Qubit Systems
Authors: Ivanova-Rohling Violeta N. , Rohling Niklas 
Published: January 2021

Abstract
Finding optimal measurement schemes in quantum state tomography is a fundamental problem in quantum computation. It is known that for non-degenerate operators the optimal measurement scheme is based on mutually unbiassed bases. This paper is a follow up from our previous work, where we use standard numerical approaches to look for optimal measurement schemes, where the measurement operators are projections on individual pure quantum states. In this paper we demonstrate the usefulness of several machine learning techniques – reinforcement learning and parallel machine learning approaches, to discover measurement schemes, which are significantly better than the ones discovered by standard numerical methods in our previous work. The high-performing quorums of projection operators we have discovered have complex structure and symmetries, which may imply that the optimal solution will possess such symmetries.
A New Class of “Growth Functions” with Polynomial Variable Transfer Generated by Real Reaction Networks
Authors: Kyurkchiev Nikolay 
Published: January 2021

Abstract
In [4, 5], two classes of growth models with “exponentially variable transfer” and “correcting amendments of Bateman-Gompertz-Makeham-type” based on a specific extended reaction network have been studied [1]. In this article we will look at the new scheme with “polynomial variable transfer”. The consideration of such a dynamic model in the present article is dictated by our passionate desire to offer an adequate model with which to well approximate specific data in the field of computer viruses propagation, characterized by rapid growth in the initial time interval. Some numerical examples, using CAS Mathematica illustrating our results are given.
Comments on the Half Logistic Inverse Rayleigh (HLIR) cdf with “Polynomial Variable Transfer”. Some Applications
Authors: Kyurkchiev Nikolay , Iliev Anton , Rahnev Asen 
Published: January 2021

Abstract
On the base of the Half Logistic – G family of distributions proposed by Cordeiro, Alizadeh and Marinho [2] some mathematical properties are investigated by Almarashi et al. [1]. We study the “saturation” to the horizontal asymptote: t=1 by the new growth function M(t) in the Hausdorff sense. Similar to our previous studies [3-6], in this article we will define and analyze in detail the new family. We will call this family the “Half-Logistic-Inverse-Rayleigh cdf with Polynomial Variable Transfer” (HLIRPVT) cdf. Section 3 shows the potentiality of proposed new model under four real data sets. Some numerical examples using CAS MATHEMATICA are given.
Numerical Solution of Integro-Differential Equations Modelling the Dynamic Behavior of a Nano-Cracked Viscoelastic Half-Plane
Authors: Rangelov Tsviatko V. , Dineva Petia S. , Manolis George D. 
Published: January 2021

Abstract
The scattering of time-harmonic waves by a finite, blunt nano-crack in a graded, viscoelastic bulk material with a free surface is considered in this work. Non-classical boundary conditions and a localized constitutive equation at the interface between crack and matrix, following the Gurtin-Murdoch surface elasticity theory are introduced. An efficient numerical technique is developed using integro-differential equations along the nano-crack line that is based on an analytically derived Green‘s function for the quadratically inhomogeneous half-plane. The dependence of the diffracted and scattered waves and of the local stress concentration fields on key problem parameters such as viscosity, inhomogeneity, surface elasticity, and interaction between the nano-crack and the free surface are all examined through an extensive parametric study.
AllerScreener – A Server for Allergenicity and Cross-Reactivity Prediction
Authors: Dimitrov Ivan , Atanasova Mariana 
Published: January 2021

Abstract
Allergenicity of proteins is a subtle property encoded in their structures. The prediction of allergenicity of novel proteins saves time and resources for subsequent experimental work. In the host antigen-presenting cells, the allergens are processed as antigens by the means of Human Leukocyte Antigens (HLA) class II proteins. Sometimes, people allergic to a given protein show allergic reaction to a different protein, even when the two proteins have different routes of exposure. This phenomenon is termed cross-reactivity. Here, we describe a server for allergenicity and cross-reactivity prediction based on the abilities of allergenic proteins to generate binders to HLA class II proteins. The generated peptides are compared to HLA binders originating from known allergens. As a result, the server returns a list of common binders, origin proteins, and species. Different species generate common HLA binders and this determines their cross-reactivity. The server is named AllerScreener and is freely accessible at:
http://www.ddg-pharmfac.net/AllerScreener
.
Finite-Temperature Single Molecule Vibrational Dynamics from Combined Density Functional Tight Binding Extended Lagrangian Dynamics Simulations and Time Series Analysis
Authors: Koteska Bojana , Mishev Anastas , Pejov Ljupco 
Published: January 2021

Abstract
Combining a computationally efficient and affordable molecular dynamics approach, based on atom-centered density matrix propagation scheme, with the density functional tight binding semiempirical quantum mechanics, we study the vibrational dynamics of a single molecule at series of finite temperatures, spanning quite wide range. Data generated by molecular dynamics simulations are further analyzed and processed using time series analytic methods, based on correlation functions formalism, leading to both vibrational density of states spectra and infrared absorption spectra at finite temperatures. The temperature-induced dynamics in structural intramolecular parameters is correlated to the observed changes in the spectral regions relevant to molecular detection. In particular, we consider a case when an intramolecular X-H stretching vibrational states are notably dependent on the intramolecular torsional degree of freedom, the dynamics of which is, on the other hand, strongly temperature-dependent.
Dual-Labor Market and Unemployment Compensation
Authors: Abe Taro 
Published: January 2021

Abstract
This paper discusses the impact of unemployment compensation on the employment and wages of regular and non-regular labor in a dual-labor market. The model in this paper assumes an effective demand constraint and an imperfectly competitive market. The results obtained are as follows. An increase in unemployment compensation increases the wages of regular labor to maintain its productivity. However, this temporarily decreases the employment of regular labor, so that the productivity and wages of non-regular labor decrease. The result is an increase in the relative wage rate of regular labor and the relative amount of non-regular labor employed. This result is independent of any economic regime. In terms of the impact on employment volume, the existence of two regimes, one wage-driven and one profit-driven, is confirmed. However, the effect on employment is weaker if unemployment compensation is financed by taxing profits.
Creative Economy: A Literature Review on Relational Dimensions, Challanges, and Policy Implications
Authors: Boğa Semra , Topcu Murat 
Published: January 2021

Abstract
In the development of the global economic system, the cumulative knowledge from past to present is of great importance. This knowledge produced by social life offers creative individuals and groups an opportunity to produce new meanings, values, contents and a source of inspiration. The influence of creative sectors in the urban life and socio-economic climate built by the industrial society created by the industrial revolution has started to increase in recent years. In the current industrial economic organization style, together with entrepreneurship, the creativity based on knowledge and technology have been added nowadays, to the land, labor and capital required for production. However, worldwide studies focus on the beneficial aspects of creative economies. There are not many studies in the literature on the past and future problems and development of the creative sector from a long-term historical perspective. In this context, it is necessary to reveal the relational ties of creative sectors with other fields; how they are positioned in national economies and how they will be analyzed. In this framework, the study aims to determine the position of the creative economy in the general economy by using the studies in the literature, to reveal the relational ties of the creative sectors with other actors, to identify the challenges in the sector, and to reveal the policy implications in creative industries. As a result of the study, it has been observed that the creative sectors are nested cellularly in all sectors of the general economy, from tourism to the automotive sector, from urban life to social networks, due to the internet, information communication technologies and digital applications. Since the outputs of the creative economy are based on the intellectual property rather than physical products, it has been determined that problems arise in the financing, accounting of services and contents introduced in this field, and measurement of the products at international standards. In addition, it has been observed that the time perception in creative sectors and the time perception of the industrial economic system differ from each other. Another important finding obtained as a result of the research is that creative economies create class differences in urban spaces and cause social segregation.