bluuebunny/crossref_metadata_2025_split huggingface dataset:
Marked point process representation of oscillatory dynamics underlying working memory
Authors: Akella Shailaja , Mohebi Ali , Principe Jose C , Oweiss Karim 
Published: December 2020

Abstract

Objective. Computational models of neural activity at the meso-scale suggest the involvement of discrete oscillatory bursts as constructs of cognitive processing during behavioral tasks. Classical signal processing techniques that attempt to infer neural correlates of behavior from meso-scale activity employ spectral representations of the signal, exploiting power spectral density techniques and time–frequency (T–F) energy distributions to capture band power features. However, such analyses demand more specialized methods that incorporate explicitly the concepts of neurophysiological signal generation and time resolution in the tens of milliseconds. This paper focuses on working memory (WM), a complex cognitive process involved in encoding, storing and retrieving sensory information, which has been shown to be characterized by oscillatory bursts in the beta and gamma band. Employing a generative model for oscillatory dynamics, we present a marked point process (MPP) representation of bursts during memory creation and readout. We show that the markers of the point process quantify specific neural correlates of WM. Approach. We demonstrate our results on field potentials recorded from the prelimbic and secondary motor cortices of three rats while performing a WM task. The generative model for single channel, band-passed traces of field potentials characterizes with high-resolution, the timings and amplitudes of transient neuromodulations in the high gamma (80–150 Hz, γ) and beta (10–30 Hz, β) bands as an MPP. We use standard hypothesis testing methods on the MPP features to check for significance in encoding of task variables, sensory stimulus and executive control while comparing encoding capabilities of our model with other T–F methods. Main Results. Firstly, the advantages of an MPP approach in deciphering encoding mechanisms at the meso-scale is demonstrated. Secondly, the nature of state encoding by neuromodulatory events is determined. Third, we demonstrate the necessity of a higher time resolution alternative to conventionally employed T–F methods. Finally, our results underscore the novelty in interpreting oscillatory dynamics encompassed by the marked features of the point process. Significance. An MPP representation of meso-scale activity not just enables a rich, high-resolution parameter space for analysis but also presents a novel tool for diverse neural applications.
The XIII International Conference Computer-aided technologies in applied mathematics ICAM 2020
Authors: Torgaev S.N. , Gromov M.L. 
Published: December 2020

The XIII International Conference “Computer-aided technologies in applied mathematics” was successfully held from 7th to 9th of September, 2020, at the National Research Tomsk State University, Tomsk, Russia. The conference was organized by National Research Tomsk State University, Angarsk State Technical University and The Institute of Computational Mathematics and Mathematical Geophysics.
Originally, the conference was to be held in June on Lake Baikal. But due to the COVID-19 coronavirus pandemic, the dates, venue, and format of the conference were changed.
List of Program Committee, Editors, Organizing Institutions, Images are available in this pdf.
Verification of lexic ontologies by the method of using semantic proximity of words calculated by large corpus of texts
Authors: Bayrasheva V R , Loukachevitch N V 
Published: December 2020

Abstract
The paper analyzes the concepts and relations between them in the RuWordNet digital thesaurus of the Russian language. Semantically related words automatically extracted from the corpus of texts are compared with the words of the thesaurus. The characteristic cases of information gap (omission of word meanings and semantic relationships) in the thesaurus are revealed, their causes of a computer and cognitive nature are described. Recommendations on improving the RuWordNet thesaurus are given.
Designing arithmetic neural primitive for sub-symbolic aggregation of linguistic assessments
Authors: Demidovskij Alexander , Babkin Eduard 
Published: December 2020

Abstract
The very first step towards a challenging goal of creation of monolithic generic neuro-symbolic systems is application of sub-symbolic ideas to particular symbolic algorithms like aggregation of fuzzy linguistic assessments during Linguistic Decision Making. A novel theoretical idea is to express this aggregation as structural manipulations and translate them in a neuroalgorithm. Tensor Product Representation (TPR) methodology provides a generic framework of designing neural networks that do not require training and produce an exact result equivalent to the result of symbolic algorithms. This paper demonstrates design of TPR-based arithmetic as a basic building block for expressing linguistic assessments aggregation on a sub-symbolic level and a neural architecture for the basic arithmetic operation.
Method for determining the technical condition of piston machines by measuring the angular velocity of the shaft
Authors: Elkhutov S N , Lavrik A A 
Published: December 2020

Abstract
A method for determining the technical condition of piston machines was proposed. The method is based on measuring the deviations of the angular velocity of the piston shaft machine depending on the angle of rotation. In order to verify the operability of the proposed method, a mock device for measuring the angular velocity of the shaft was developed. Trial measurements of the angular velocity of a rotating shaft were also carried out.
Machine learning application for support for automated control systems users
Authors: Khromov S K , Kulagin M A , Sidorenko V G 
Published: December 2020

Abstract
The article presents the results of the analysis of determining the possibility of Machine Learning (ML) using for solving the problems of incident classification of users on the example of enterprise resource planning (ERP) systems of JSC Russian Railways and choosing a rational method for solving this problem. The presented problem is a special case of the Natural Language Processing Problem (NLP) with the use of neural networks. The article covers findings of classification of user queries: binary and multi class, based on semantic analysis. In 2018, 1.4 million incidents were reported from users of ERP systems, only 25% of them are suitable for ML applications. Resolving other incidents requires the participation of a support specialist. Implementation of the software will reduce the waiting time for incident processing by 64% of the average. This will increase staff productivity by 5-7%. This paper explicitly proves that using convolutional neural networks for user incident classification problem has high potential in JSC Russian Railways.
Industrial equipment sizes optimization
Authors: Shcherbin S A , Glotov A A 
Published: December 2020

Abstract
The method of optimizing the sizes of vessels from the conditions of minimum mass and minimum surface area of the housing has been considered. The dependences of the optimal diameter, height, mass and minimum surface area of the hull on the volume of the vessel are obtained. Optimization of dimensions can lead to significant savings of structural materials and, accordingly, to reduction of the cost of vessels.
Radiation hardness of the ATLAS Tile Calorimeter optical components
Authors: Pereira B 
Published: December 2020

Abstract
The Tile Calorimeter (TileCal) is a sampling hadronic calorimeter and an essential part of the ATLAS experiment at the LHC. Plastic scintillating tiles are the active material. The light produced in the scintillators is transmitted to the photomultiplier tubes by wavelength shifting fibres. During the High Luminosity LHC (HL-LHC) programme, the luminosity can reach a value several times higher than the one that TileCal was designed for. Two critical points that affect the detector performance are the increased exposure to radiation that does degrade the TileCal optics and natural ageing. Since the optical components of the TileCal cannot be replaced, the radiation hardness must be evaluated. The Laser and Cesium calibration systems are used to evaluate the robustness of the TileCal optical components. These systems combined allow to isolate the response of the tiles and fibres and evaluate the evolution of the light yield with the dose. Run 2 calibration data were analysed, indicating that cells in layer A, and B11 and C10 cells have lost about 5% of light yield. No significant changes were found for the other cells. This study constitutes an essential step for predicting the calorimeter performance in future HL-LHC runs. Nevertheless, the extrapolation uncertainty is large so more data needs to be explored to reach better precision on such extrapolation.
The SuperFGD for the T2K near detector upgrade
Authors: Douqa Dana 
Published: December 2020

Abstract
Tokai-to-Kamioka (T2K) experiment is a long baseline neutrino experiment in Japan. T2K started data taking in 2010 and obtained a hint on matter-antimatter asymmetry in neutrino oscillations. To provide better sensitivity, T2K plans to have a run extension with higher intensity beam and an upgrade of the T2K near detector. We adopted a novel detector called SuperFGD as an upgraded fully-active target tracker. It consists of about two millions of plastic scintillator cubes and about sixty-thousand readouts through WLS fibers and MPPCs. It provides fine granularity and larger acceptance to suppress systematic error. The new detector will be ready to accept the beam in 2022. Here we report the current status of the new detector.
Non-identical charged kaon femtoscopy in Pb—Pb collisions at

sNN=2.76TeV

by ALICE
Authors: Mikhaylov Konstantin 
Published: December 2020

Abstract
We present the result of the femtoscopic analysis of non-identical charged kaon correlations in Pb-Pb collisions at

s

NN

=
2.76

TeV

obtained in ALICE at the LHC. One-dimensional K+K− correlation functions were analyzed in three centrality classes and eight transverse momentum ranges. The femtoscopic correlations of K+K− pairs are the result of Coulomb final-state interactions and formation of a
0(980) and f
0(980) resonances. The K+K− correlation function was fit with the R. Lednicky and V. Luboshitz model [1]. For the first time, f
0(980) mass and couplings were extracted from the K+K− correlation functions fit with the constraint on the radii to be close to the corresponding radii from identical charged kaon correlations.
First observation of diffraction in proton-lead collisions at the LHC with the CMS detector
Authors: Sosnov Dmitry 
Published: December 2020

Abstract
We present the first measurements of diffraction processes in proton-lead collisions at LHC with CMS at

s

NN

=
8.16

TeV

. The very large angular coverage of CMS is used to tag rapidity gaps in the forward regions on both the proton-going and lead-going sides to identify both pomeron-lead and pomeron-proton topologies. The present data provide essentially unique information for understanding the high energy limit of QCD and modeling cosmic ray air showers since the previous measurement of these processes was done at energy almost 300 times lower

(

s

NN

=
30

GeV

)

. The results are compared to predictions from the EPOS-LHC, QGSJET II and HIJING event generators.
Using multiplicity of produced particles for centrality determination in heavy-ion collisions with the CBM experiment
Authors: Segal I , Lubynets O , Selyuzhenkov I , Klochkov V 
Published: December 2020

Abstract
The evolution of matter created in a heavy-ion collision depends on its initial geometry. Experimentally collision geometry is characterized with centrality. Procedure of centrality determination for the Compressed Baryonic Matter (CBM) experiment at FAIR is presented. Relation between parameters of the collision geometry (such as impact parameter magnitude) and centrality classes is extracted using multiplicity of produced charged particles. The latter is connected to the collision geometry parameters using Monte-Carlo Glauber approach.
The ATLAS Muon Spectrometer upgrade for High-Luminosity LHC
Authors: Proto Giorgia 
Published: December 2020

Abstract
The muon spectrometer of the ATLAS detector will undergo a major upgrade in order to cope with the operational conditions at the high-luminosity LHC. The trigger and readout system will need to support Level-0 trigger rates of 1 MHz and a latency of 10 μs. The readout electronics of all the trigger and precision chambers will be replaced and the precision chambers, currently not included in the hardware trigger, will be integrated into the Level-0 trigger in order to sharpen the momentum threshold and increase the system redundancy. New-generation RPC chambers will be installed in the inner barrel layer to increase the acceptance and robustness of the trigger. Some of the MDT chambers in the inner barrel layer will be replaced with new small-diameter MDTs. New TGC triplet chambers will replace the current TGC doublets in the barrel-endcap transition region to enhance the suppression of fake triggers in this region. A major upgrade of the power system is also planned. In this presentation the main detector technology developments of the project will be presented.
Heavy-flavour production in proton–proton collisions with the ALICE experiment
Authors: Gyulai László 
Published: December 2020

Abstract
The production of heavy-flavour hadrons in high-energy hadronic collisions is a unique source of information on various aspects of quantum chromodynamics (QCD). Production of heavy-flavour hadrons in proton-proton collisions allows the test of perturbative QCD models, while the comparison of mesons and baryons with heavy-flavour quarks can differentiate between fragmentation scenarios. Multiplicity-dependent measurements allow for the understanding of semi-hard vacuum QCD effects, as well as to study the coalescence mechanisms of heavy-flavour quarks with light and strange quarks. Recent results from the ALICE experiment in proton-proton collisions on the production of D mesons and leptons from the decay of heavy-flavour hadrons, as well as charmed baryons, are presented in this contribution. Furthermore, the multiplicity dependence of self-normalised heavy-flavour electron yields, as well as that of strange to non-strange D-meson and charmed baryon-to-meson ratios are also shown.
Exotic searches by ATLAS and CMS
Authors: Kaur A 
Published: December 2020

Abstract
ATLAS and CMS are two general-purpose detectors setting almost opposite to each other at the LHC ring. Both detectors resulted in the discovery of Higgs Boson in 2012. With successful data taking during Run-II, ATLAS and CMS recorded up to 139fb
−1 of integrated luminosity and probes for rare and exotic decays and sets exclusion limits on various models searching beyond standard model physics.
LVD status report: neutrino physics.
Authors: Shakiryanova I 
Published: December 2020

Abstract
The iron-scintillation detector LVD is designed to detect various types of neutrinos from collapsing stars in our Galaxy and in Magellanic Clouds. The report will present the results for 28 years of the experiment’s existence. New limit has been set on the frequency of supernova detection in our Galaxy. The results of the correlation analysis between detectors LVD and BUST are presented. The results obtained during event registration from the CERN neutrino beam are discussed.
The Future of Neutrinoless Double Beta Decay Searches with Germanium Detectors
Authors: Edzards F 
Published: December 2020

Abstract
The observation of neutrinoless double beta (0vββ) decay would establish the Majorana nature of neutrinos and explicitly show that lepton number conservation is violated. In their search for the rare decay in the isotope 76Ge, the GERDA and MAJORANA DEMONSTRATOR (MJD) experiments have achieved the lowest backgrounds and best energy resolutions in the signal region of interest of any 0vββ decay experiment. Building on the successful results of these experiments, as well as contributions from other groups, the Large Enriched Germanium Experiment for Neutrinoless Double Beta Decay (LEGEND) collaboration aims to develop a phased 0vββ decay experimental program with discovery potential at a half-life beyond 1028 years. To achieve this goal, the enriched germanium detector mass has to be increased up to the tonne-scale and the backgrounds have to be reduced further. The first phase of LEGEND, a 200 kg measurement utilizing the existing GERDA infrastructure at LNGS in Italy, is expected to start in 2021.
Synthesis, growth and optical characterisation of nickel added Boro Formate single crystal for optical applications
Authors: Malliga P , Dharshan V , Deepika V 
Published: December 2020

Abstract
A nonlinear optical crystal Boro formate added with nickel (NBF) was produced by chemical synthesis. Slow Evaporation method.was adopted to produce such a crystal from an aqueous solution. To understand phase identification and information on unit cell dimensions XRD technique was undertaken.. The FT-IR spectroscopy measures the light absorbed by the various bond making the vibrating molecule. The functional group present in NBF was thus found.The UV-Visible absorption of light by NBF crystal has produced a distinct spectrum which aids in the identification of the compound and to ascertain the optical property of the compound. The crystal is transparent from a wavelength of 330mm. The frequency doubling property of NLO crystals was verified through SHG studies. The elements present in NBF crystal was confirmed by EDAX studies.
Piezoelectric energy harvesting from a curved plate subjected to time-dependent loads using finite elements
Authors: Kouider Bendine , Wankhade Rajan L 
Published: December 2020

Abstract
The present paper focuses on the energy harvesting based piezoelectric material from curved plate (CP). Thus, a FEM Model of CP is equipped with piezoelectric patches act as harvesters and connected in parallel with load resistor. The harvester’s positions have been obtained using new technique based on modal analysis maximum voltage output. The idea is to distribute patches all over the plate and then performing modal analysis. The harvesters position are then chosen based on the maximum output voltage extracted from the results. This new approach not just save time by avoiding iterative optimizations but also helps to use the needed harvester according to the applied load and its frequency. The methodology are check in time and frequency domain.
Synthesis of nanocomposite of franklinite (Fe2O4Zn) doped zincite(ZnO) using wet chemical coprecipitation method and rietveld refinement
Authors: Bedi Himanshu , Rohilla Sunil , Gupta Ankita 
Published: December 2020

AbstractThe nanocomposites of Franklinite (Fe2O4Zn) doped Zincte (ZnO) were synthesized through wet chemical (co-precipitation) technique followed by heat treatment. Metal chlorides and metal oxides are used as precursors for the formation of composites. The asprepared sample composites were subjected to sintering for two hours at the temperature of 300 °C. The detail spectral study and the effect of concentration of precursor salt on the structural parameters were done by using XRD and Rietveld refinement method. The occurrence of two crystalline phases (Fe2O4Zn and ZnO) was estimated from XRD data through Rietveld refinement. It was observed that the Fe2O4Zn have a cubic structure with space group Fd-3m (227), whereas ZnO has hexagonal structure with space group P 63 mc (186). The Wyckoff positions and rietveld refinement parameters like goodness factor, Bragg R factor, Rpvalue, Rexp were calculated. Effect of varying concentration of precursor on development of complete ferrite phase of structure was discussed.
Strontium arsenate doped conducting polyaniline matrix as gas sensor
Authors: Machappa T , Badrunnisa S 
Published: December 2020

Abstract
Electrical response of strontium arsenate (Sr3(AsO4)2) doped conducting Polyaniline (PANI) composites matrix in liquid petroleum gas (LPG) environment is studied. One step in situ chemical polymerization technique was used to synthesis conducting PANI and PANI / Sr3(AsO4)2 composites. Characterization confirmed the formation conducting polymer by FTIR, presence of Sr3(AsO4)2 in PANI matrix and its crystallinity by X-RD, Surface morphology and porosity by ESEM. Conductivity increases by with temperature, due to ion transfer within the composites by curling behavior of polymer. Absorption of charges by analyte gas from polymer matrix due to electron affinity, increases electrical resistance with increase in concentration of LPG. The absorption of the charges depends on the surface area of interaction between analyte gas and polymer matrix.
Study of Argon and Xenon gas properties on DC-glow discharge plasma
Authors: Somayajula Sai Keerthi , Sriram A T , Shelar Vikas M 
Published: December 2020

Abstract
With the advances in the plasma technology in several fields as waste management, space technology and medical applications, non-thermal plasmas have become popular. They replace the combustion fuels for stationary hall thrusters and require minimal voltage to sustain longer duration. Generally, non-reactive gases such as Xenon, Argon, Krypton in a pure or mixture form is used to generate plasma, in order to have overall better performance of the system. Hence, the study of these gases and its properties becomes very crucial for further improvement in any kind of application. Xenon has proven to be most efficient in Hall thruster as compared to the other gases, but its limited availability and high cost has led to the idea of replacing it with other gases that are in abundant. As the DC glow discharge is considered to be canonical problem of interest, the paper focuses on modelling and simulation of 1-D and 2-D. DC glow discharge tubes using Argon and Xenon as gases to generate plasma and study its properties. The trend in distribution of electron density, electron temperature and electric potential have shown little variation. However, the magnitude on electron density is slightly higher for Argon relative to Xenon for given operating conditions in 1-D simulation and in the case of 2-D simulation the diffusive nature in lateral direction has shown higher peak value for Xenon.
Lung dose measurement from indoor 222Rn and 220Rn in dwellings of Fatehgarh district of Punjab, India
Authors: Kaur Rupinderjeet , Shikha Deep , Gupta Ruchie , Singh Tejinder , Kumar Amit , Singh Supreet Pal , Mehta Vimal 
Published: December 2020

Abstract
In order to study the health risk factors caused by indoor radon and thoron gases, environmental testing of these gasses has been carried out in various dwellings in the Fatehgarh district of Punjab. The average concentration of indoor 222Rn (CR) and indoor 220Rn (CT) is 59.8±15.9 Bq/m3 and 70.6±22.4 Bq/m3. The equivalent dose rate for lung (H) ranges from 33.54 to 82.60 nSv with mean dose of 47.85±12.73 nSv. The Effective dose rate to lungs (DLung) due to radon emitted alpha particles and progenies ranges from 1.68 to 4.13 nGy h-1 with mean of 2.39±0.63 nGy h-1. The effective dose rates trachea-bronchial (DT-B) and pulmonary + pulmonary lymph (DP+PI) ranges from 2.01 to 4.96 nSv with average value of 2.86±0.63 nSv. The rate of lung dose DRL owing to radon varies from 4.03 to 9.91 nSv with average value of 5.74±1.52 nSv. The average of the 222Rn and 220Rn inhalation dose in the study region is not as much of the 222Rn and 220Rn overall average inhalation dose worldwide.