bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification and quantification of gases and their mixtures using GaN sensor array and artificial neural network
Authors: Khan Md Ashfaque Hossain , Motayed Abhishek , Rao Mulpuri V 
Published: December 2020

Abstract
Accurate identification and quantification of gas mixtures are almost unattainable utilizing only a metal-oxide/GaN sensor because of its cross-sensitivity to many gases. Here, an array of sensors has been formed consisting of Ag and Pt incorporated ZnO, In2O3 and TiO2 coated two terminal GaN photoconductors. The common environmental toxic gases, such as SO2, NO2, H2, ethanol and their mixtures have been chosen as the gas analytes. All the gas responses have been obtained at 20 °C under UV illumination. Temporal responses have been post-processed to develop the training and test dataset. Then, four different artificial neural network models have been analyzed and optimized for gas classification study, which is done for the first time on GaN sensors. Statistical and computational complexity results indicate that back-propagation neural network (NN) stands out as the optimal classifier among the considered algorithms. Then, ppm concentrations of the identified gases have been estimated using the optimal model. Furthermore, implementation of the developed sensor array in combination with NN algorithm for real-time gas monitoring applications has been discussed.
The effects of unintentional drowsiness on the velocity of eyelid movements during spontaneous blinks
Authors: Johns Murray , Hocking Christopher 
Published: December 2020

Abstract

Objective. Unintentional drowsiness, when we should be alert, as for example when driving a vehicle, can be very dangerous. In this investigation we examined the effects of unintentional drowsiness on the relative velocities of eyelid closing and reopening movements during spontaneous blinks. Approach. Twenty-four young adults volunteered to take part in this experiment, and 18 were finally accepted. They performed a 15 min visual reaction-time test at the same time of day and under the same environmental conditions with and without overnight sleep deprivation, one week apart. Their eyelid movements during blinks were monitored by a system of infrared reflectance blepharometry during each test. Main results. Very close relationships between the amplitude and maximum velocity of eyelid closing and reopening movements were confirmed. Frequency histograms of amplitude–velocity ratios (AVRs) for eyelid closing and reopening movements showed significant differences between alert and drowsy conditions. With drowsiness, eyelid movements became slower and AVRs increased for many but not all blinks. We also described a time-on-task effect on the relative velocities of eyelid movements which was more apparent in the drowsy condition. Eyelid movements became progressively slower during the first half of the test. This was presumably due to a short-lived alerting effect of starting the test. Significance. The relative velocity of eyelid closing and reopening movements during spontaneous blinks decreases with unintentional drowsiness but is sensitive to the brief alerting stimulus of starting a reaction-time test.
Stochastic collision model approach to transport phenomena in quantum networks
Authors: Chisholm Diana A , García-Pérez Guillermo , Rossi Matteo A C , Palma G Massimo , Maniscalco Sabrina 
Published: December 2020

Abstract
Noise-assisted transport phenomena highlight the nontrivial interplay between environmental effects and quantum coherence in achieving maximal efficiency. Due to the complexity of biochemical systems and their environments, effective open quantum system models capable of providing physical insights on the presence and role of quantum effects are highly needed. In this paper, we introduce a new approach that combines an effective quantum microscopic description with a classical stochastic one. Our stochastic collision model (SCM) describes both Markovian and non-Markovian dynamics without relying on the weak coupling assumption. We investigate the consequences of spatial and temporal heterogeneity of noise on transport efficiency in a fully connected graph and in the Fenna–Matthews–Olson (FMO) complex. Our approach shows how to meaningfully formulate questions, and provide answers, on important open issues such as the properties of optimal noise and the emergence of the network structure as a result of an evolutionary process.
Development of a program to reduce the dimension of multidimensional data arrays by the method of principal components
Authors: Golovkova E.A. , Ermakova N.M. 
Published: December 2020

Abstract
In the article, the author discusses the importance of factor analysis methods, including the method of the main components, when studying multivariable information in the process of statistical analysis, with the aim of further modeling and predicting random processes. Key problems are described, when solving which they often turn to the method of the main components, as well as its algorithm, taking into account the fact that those interested in this article are familiar with the essence of statistical entimes. There is given a graphical representation of the author’s software, which reads the file specified by the user with a sample of data, made in the form of a table, which automatically prepares them for further analysis and search of the main components. The program functionality allows: to automatically calculate the mathematical expectation, variance of a multidimensional random variable; a covariance matrix for describing the shape of a random variable from which it is possible to obtain its dimensions by automatically finding eigenvectors and aigenpars; reduce the size of the sample; recover data for further hypothesis building and modeling. The algorithm of the principal component method is presented schematically.
Tensor approach to software implementation of cellular automata model of diffusion
Authors: Matolygin A K , Shalyapina N A , Gromov M L , Torgaev S N 
Published: December 2020

Abstract
The article provides a theoretical description of the tensor approach to the software implementation of the cellular automaton model of diffusion. A block-synchronous cellular automaton with a neighborhood of Margolus was chosen as a model. Within the framework of the proposed approach, the rotation of the automaton block clockwise or counterclockwise can be carried out using a special operation on tensors, namely convolution. The approach discussed in this paper allows you to use various frameworks aimed at parallelizing computations to organize scientific calculations on modern powerful graphics adapters.
Simulation of the evaporation process of 1.2-dichloroethane into nitrogen
Authors: Podoplelov E V , Balchugov A V , Dementev A I , Ryabov A S 
Published: December 2020

Abstract
The interaction of gas and liquid phases in some cases is accompanied by the spontaneous occurrence of convective flows and turbulent pulsations at the phase boundary and in adjacent areas. Hydrodynamic instability allows to accelerate the interfacial transfer of matter and leads to an increase in mass transfer coefficients. Research in this field is not only theoretical, but also practical, since surface convection can be artificially created in apparatus for intensifying the mass exchange process.
Capacity modelling to optimize the functioning of the transport network
Authors: Poltavskaya J O , Lebedeva O A 
Published: December 2020

Abstract
The article discusses the model of reserve capacity, limited by a common factor for all pairs of departure and destination points, which will optimize the operation of the transport network. The concepts of ultimate and practical capacity are also given and their models are described. Establishing the capacity of the road network section will allow us to determine the permissible limits of the restrictions described in the reserve capacity concept. The analysis of the capacity for three different concepts on an abstract transport network was carried out, as a result of which it was revealed that the application of the model in practice helps to obtain information about the spatial distribution of user demand for transport services.
Assessment of the impact of the characteristics of the road network on the duration of the route
Authors: Poltavskaya J O , Lebedeva O A 
Published: December 2020

Abstract
The “floating” car method using global positioning system (GPS) devices is used to collect data on the duration of traffic on city streets. However, a complete study of the transport network is time-consuming and includes additional financial investments. An alternative source of data collection is the use of rolling stock of public transport. Therefore, this article discusses the relationship between travel time by car and bus. It was found that the travel time of buses is usually more than the travel time of an individual vehicle. The impact of the characteristics of the road network, such as a number of regulated and unregulated intersections, a number of driveways, a number of bus stops, traffic intensity, a number of lanes and a number of turns on the duration of public transport, has been assessed. The results show the relationship between the considered durations of traffic and data from the board equipment of the vehicles of public transport can be used to estimate the duration of movement along the route taking into account the characteristics of the network.
Generation of a dictionary of abstract/concrete words by a multilayer neural network
Authors: Solovyev V D , Bochkarev V V , Khristoforov S V 
Published: December 2020

Abstract
Large dictionaries of abstract/concrete words were compiled for several languages by interviewing native speakers. The Russian dictionary contains only one thousand words. This article proposes a new method for automatic generation of a large (tens of thousands of words) Russian dictionary of abstract/concrete words by using neural networks trained on the Google Books Ngram corpus. Estimates of the quality of the dictionary compiled using this method are obtained. The correlation coefficient between the estimates obtained using a neural network for the level of word concreteness and the estimates obtained based on the native speakers‵ responds is 0.778.
Stochastic model of oxygen adsorption
Authors: Sverdlova Olga L , Kondrateva Larisa M , Ivanova Svetlana V 
Published: December 2020

Abstract
The authors propose a microscopic stochastic model of the process of oxygen adsorption on the surface of a solid object. As a first approximation, the constructed model describes the dynamics of the system in terms of a planar surface coating with oxygen adatoms. A simplified diagram of the adsorbent surface oxidation mechanism is presented in five stages. The reaction conditions are determined by the temperature of the crystal surface and the partial pressure of the reagent in the gas phase. The reaction is considered as a random Markov process with a discrete set of states for a stream of elementary events occurring on a fragment of an ideal square lattice of ferrous sulfide with periodic boundary conditions. For the constructed model, numerical calculations are done using a software solution and the results of computational experiments are presented. The research results analysis suggests that the presented mathematical process model of oxygen adsorption on the ferrous sulfide surface along with the software solution for simulation studies can be used to determine control parameters for various technological processes.
Adaptation of the electronic device design route using Russian software
Authors: Utekhina Nadezhda , Solomatin Artem 
Published: December 2020

Abstract
Today in the development of Russian electronics is mostly using foreign computer-aided design systems (CAD). Because of sanctions Russia is facing a risk of losing access to foreign software products and systems. Since most of the Russian projects are using foreign CAD systems, a sudden switch to national software can cause significant difficulties in production. The transition to Russian software involves rebuilding the design route based on foreign CAD systems, due to the difference of the functionality of programs and file formats of engineering documentation. The purpose of this work is to assess the possibility of switching to Russian CAD systems and adjust the design route in accordance with them. The paper deals with the study and use of modern Russian CAD software, such as “KOMPAS-3D”, “Delta Design”, and “ASONIKA”, using the example of creating a low-frequency amplifier.
Status of the installation and commissioning of the first GEM station at the CMS experiment
Authors: Fallavollita F 
Published: December 2020

Abstract
The foreseen upgrade of the Large Hadron Collider (LHC) will lead to an increase of its luminosity up to 5 – 7 × 1034 cm−2s−1, five times more than the original design value. The CMS muon system must be able to sustain a physics program after the increase of luminosity and maintain sensitivity for electroweak physics for TeV scale searches achieved during Run2. To cope with the corresponding increase in background rates and trigger requirements, the installation of additional sets of muon detectors based on Gas Electron Multiplier (GEM) technology, referred to as GE1/1, GE2/1 and ME0, has been planned. The installation and commissioning of the GE1/1 detectors in the CMS experiment have been scheduled in two separate phases: the first 72 detectors have been already installed together with their services (gas, cooling, low voltage and high voltage) in 2019 and they are undergoing the commissioning phase, while the completion of the station is foreseen in autumn 2020. The author will describe the detector design, the quality assurance and certification path, as well as will present the status of the installation and commissioning, worth its preliminary results and an overview for the complete integration of the GE1/1 project on the CMS experiment.
New Small Wheels for the ATLAS Muon Spectrometer
Authors: Perganti M 
Published: December 2020

Abstract
The ATLAS collaboration at Large Hadron Collider (LHC) has chosen the Large size multi-gap resistive strips Micromegas (MM) technology along with the small-strip Thin Gap Chambers (sTGC) for the High Luminosity (HL) upgrade of the first muon station in the high-rapidity region, the so called New Small Wheel (NSW) project. The NSW is expected to be installed in the ATLAS underground cavern in the current long shutdown. After the R&D, design and prototyping phase, series production MM and sTGC chambers are being constructed. At CERN, the final validation and integration of the modules in sectors composing the wheel is well advanced. The achievement of the requirements for these detectors revealed to be even more challenging than expected, when scaling from the small prototypes to the large dimensions. In this document the main challenges of the project, the adopted solutions and performance results are presented.
Hadronic resonance production with ALICE at the LHC
Authors: Kiselev Sergey 
Published: December 2020

Abstract
We present recent results on short-lived hadronic resonances obtained by the ALICE experiment at LHC energies. Results include system-size and collision-energy evolution of transverse momentum spectra, yields and the ratios of resonance yields to those of longer lived particles, and nuclear modification factors. The results will be compared with model predictions and measurements at lower energies.
Global hyperon polarization in Au+Au collisions at

sNN=27GeV

in the STAR experiment
Authors: Alpatov Egor 
Published: December 2020

Abstract
The Quark-Gluon Plasma (QGP), appearing in non-central nucleus-nucleus collisions is generated with large orbital angular momentum. Spin-orbit coupling aligns spin directions of produced particles with the system angular momentum, through the creation of local vorticity. Properties of hyperon weak decays lead to the way of measuring polarization, that reflects vorticity. The global polarization of Λ and

Λ
¯

hyperons was measured for Au+Au collisions at

s

N
N

=
7.7
−
200

GeV

recorded with the STAR at the RHIC. However, different theoretical approaches are still in need of new experimental input to describe global polarization properly. That’s why it is important to measure the global polarization of different particle species. In this paper, we will report new results of hyperon global polarization (

P

Λ
+

Λ
¯

and

P

Ξ
−

+

Ξ
¯

+

) measurement via different methods for high-statistics Au+Au collisions at

s

N
N

=
27

GeV

.
Directed flow measurement in Pb+Pb collisions at plab
= 13A GeV/c collected with NA61/SHINE at SPS
Authors: Kashirin E , Selyuzhenkov I , Golosov O , Klochkov V 
Published: December 2020

Abstract
We present results of directed flow measurements in Pb+Pb collisions at beam momentum p
beam = 13A GeV/c recorded at NA61/Shine in 2016. Directed flow is measured relative to the symmetry plane of projectile spectators. Measurements are performed differentially relative to transverse momentum, rapidity and collision centrality. We present v
1(p
T) and v
1(y) for protons and negatively charged pions in different centrality classes. The analysis techniques developed as a part of this work will be used for measurements at the future CBM experiment at FAIR and the MPD experiment at NICA.
Elliptic (v
2) and triangular (v
3) anisotropic flow of identified hadrons from the STAR Beam Energy Scan program
Authors: Parfenov P 
Published: December 2020

Abstract
Elliptic (v
2) and triangular (v
3) anisotropic flow coefficients for inclusive and identified charged hadrons ( π
±, K
±, p,

p
¯

) at midrapidity in Au+Au collisions, measured by the STAR experiment in the Beam Energy Scan (BES) at the Relativistic Heavy Ion Collider at

s

N
N

=
11.5

-

62.4

GeV

, are presented. We observe that the triangular flow signal (v
3) of identified hadrons exhibits similar trends as first observed for v
2 in Au+Au collisions, i.e. (i) mass ordering at low transverse momenta, pT
< 2 GeV/c, (ii) meson/baryon splitting at intermediate pT
, 2 < pT
< 4 GeV/c, and (iii) difference in flow signal of protons and antiprotons. New measurements of v3 excitation function could serve as constraints to test different models and to add new information about the temperature dependence of the transport properties of the strongly interacting matter.
Methods for anisotropic flow measurements with the MPD Experiment at NICA
Authors: Idrisov D , Luong V B , Taranenko A , Parfenov P , Demanov A , Truttse A 
Published: December 2020

Abstract
The anisotropic collective flow is one of the important observable values sensitive to transport properties of strongly interacting matter created in relativistic heavy-ion collisions. The performance of Multi-Purpose Detector (MPD) at NICA collider for elliptic flow measurements with Monte-Carlo simulations using collisions of Au+Au and Bi+Bi ions employing several state of the art event generators is studied. Different methods for flow measurements as event plane and direct cumulants are used to investigate the contribution of non-flow correlations and flow fluctuations.
Statistical data analysis in the DANSS experiment
Authors: Skrobova N 
Published: December 2020

Abstract
DANSS is a one cubic meter highly segmented solid scintillator detector. DANSS is placed under a 3.1 GW industrial reactor at the Kalininskaya NPP (Russia) on a movable platform. The distance from the reactor core center is varied from 10.9 m to 12.9 m on-line. The inverse beta decay (IBD) process is used to detect antineutrinos. DANSS detects about 5000 IBD events per day with the background from cosmic muons at the level of 2%. Sterile neutrinos are searched for assuming a 4 neutrino model (3 active and 1 sterile neutrino). The exclusion area in the sterile neutrino parameter plane is obtained using a ratio of positron energy spectra collected at different distances. New analysis that uses information about relative counting rates as well as changes in positron energy spectra shapes is described. We present recent results based on 3.5 million IBD events collected at 3 distances from detector to reactor core. The excluded area covers a wide range of the sterile neutrino parameters up to sin2 2θ

ee
< 0.008 in the most sensitive region. The significance of the best-fit point in the parameters space is 1.5σ.
On the quantum inductance of orbiting electron in the hydrogen atom
Authors: Kumar Vineet 
Published: December 2020

Abstract
With the answer of yes, for the question, is the quantity current can be tagged to the minute loop of electron in the atom? Therefore, regard as the minute current loop. The next related question based on the voltage to current proportionality over operators of different so arise, is the quantity voltage for the current can also be mapped out of minute loop? And if yes, then, what is the corresponding proportionality constant be it holds? If the quantum electrical representative of the atom, for instance the quantum inductance is there, then, in what ways and under what conditions it involve with the de Broglie wavelength of the electron? Keeping these questions and all others with the spherical symmetric potential in case of hydrogen atom, here within this paper the atomic- electricity related issues due to the orbiting electron around the nucleus of hydrogen atom obtained and conclude.
Silver nanoparticle synthesis, UV-Vis spectroscopy to find particle size and measure resistance of colloidal solution
Authors: Alim-Al-Razy Md , Asik Bayazid G M , Rahman Raihan Ur , Bosu Rajib , Shamma Shahla Samim 
Published: December 2020

Abstract
It is an important part in nanotechnology to produce nanoparticles with specific properties like particle size or resistance. To produce colloidal silver nanoparticles with specific size and resistance by Turkevich method, it is needed to synthesized silver nanoparticle with various molarity of AgNO3 and concentration of Trisodium citrate. UV-Vis spectrum was taken for the colloidal silver nanoparticle and analysed to roughly measure the particle size. That value was also cross checked by the optical theorem and weighed the resistance of colloidal solution for different parameters.
To study the structure and thermodynamic properties of silicene materials when melting quickly by molecular dynamics simulation
Authors: On Vo Van 
Published: December 2020

Abstract
This paper presents the results of the study of melting silicene by MD simulation with a sample of 6400 atoms. Silicene melting from 300K to 3500K with a rate of 1013K / s. Investigation of energy dependence on temperature shows a jump in the average total energy of molten Silicene at the temperature T = 2500K. The radial distribution function G(r), ring distribution, coordination number distribution, angle distribution, and distance distribution also studied, all show that the phase transition temperature of Silicene is about 2500K. At 3500K, the silicene structure is almost destroyed, but long-term bonds still account for a higher proportion than short-length bonds. The structure is almost homogeneous, symmetrical.
Photoluminescence characterization of some Vanadate based phosphors
Authors: Fartode S A , Shelke Tushar R , Fartode Anoop P. , Dhoble S J 
Published: December 2020

Abstract
Highly efficient new vanadate phosphor A2NaMg2V3O12 (A = Ba & Sr) doped with rare earth element Dysprosium (Dy) was synthesized at high temperature via solid-state method successfully and the formed compound was confirmed by X-ray diffraction method. Photoluminescence measurements revealed that Sr2NaMg2V3O12 phosphor doped with Dy is excited by near ultraviolet light ranging from 300 nm to 380 nm efficiently in order to realize the emission in visible spectrum (in the range 400 nm −570 nm. Ba2NaMg2V3O12: Dy phosphor also showed emission at 569 nm on excitation at 325 nm. Hence this prepared phosphor can find application as a green emitting phosphor in solid state lighting area.