bluuebunny/crossref_metadata_2025_split huggingface dataset:
A genre-based investigation of the “About Us” section of private hospitals’ websites
Authors: Aghbolagh Nasser Salimi , Hashim Azirah , Mei Cecilia Cheong Yin 
Published: December 2020

Abstract
Medical tourism industry is currently viewed as one of the lucrative sources of income for some countries and in
essence, owes much of its reputation and success to private hospitals and the Internet (Connell, 2006). However, how these private hospitals discursively present themselves to prospective health tourists in
order to entice them to use their medical services rather than their rivals’ still remains under-researched. Following the ESP
genre school, this study seeks to explore the “About Us” sections of private hospitals’ websites and aims to see how such sections
are rhetorically designed and constructed. Using Bhatia’s (1993, 2004) move structures for promotional texts, this study examines the rhetorical structure of the
constituent webpages of the “About Us” sections of forty-one Malaysian private hospitals’ websites. Our study demonstrates how
Malaysian private hospitals utilize a number of cognitive structures to present and promote themselves in their “About Us”
sections. Our findings are, in general, beneficial for the private hospitals in Malaysia or elsewhere in the world, and in
particular, are helpful for novice medical website designers.
Molecular dynamics simulation of transversely isotropic elastic properties of carbon nanocones
Authors: Taheri Seyed Saeid , Seyyed Fakhrabadi Mir Masoud 
Published: December 2020

Abstract
In this paper, transversely isotropic elastic properties of carbon nanocones are studied using molecular dynamics simulation implemented in the large-scale atomic/molecular massively parallel simulator (LAMMPS). All atomic interactions are calculated based on the Adaptive Intermolecular Reactive Empirical Bond Order (AIREBO) potential energy functions. To determine the five independent elastic constants, four distinct loading conditions, i. e. uniaxial tensile, longitudinal torsion, in-plane biaxial stretching, and in-plane shear are imposed. The results reveal that Young’s and axial shear moduli are dependent on the apex angle of carbon nanocones, while the effect of the length on them is negligible. Furthermore, the in-plane bulk modulus and in-plane shear constant of these structures increase as their apex angle increases.
Software for measuring parameters of single photon detectors at a modular research quantum key distribution setup
Authors: Kashirskii D E , Mazhitova M S 
Published: December 2020

Abstract
This article considers the issue of developing software for automated measurement of single photon detectors parameters at a modular research quantum key distribution setup. Using the developed software, a technique for measuring single photon detector parameters was tested. The dependences of the parameters on the pulse repetition rate, the degree of attenuation of laser radiation, and the duration of one measurement are analyzed.
Multi-Agent Analysis of Scenarios for “Arctic Smart City”
Authors: Kruglikov S V , Zakharova G B 
Published: December 2020

Abstract
An approach to formalizing problems of municipal management in the Russian Arctic via smart city technologies is considered on the example of city Salekhard. An analysis of modern smart city concepts and prospects for integrating such technologies as BIM, GIS, and CIM is given. A discussion is based on comparison of two options to implement smart city technologies. Those are: 1) the inertial scenario of development adopted in the Strategy of the municipality Salekhard city, and 2) an alternative scenario corresponding to the innovation model of multicomponent sustainable system which includes energy subsystems. A multi-agent formalization of city management presents specific object features, including factors of the Northern nature. The framework of a four-component model of the flow distribution of resources: material, energy, information, financial, is applied.
Registration of the quantum state of a single photon to create a satellite quantum network
Authors: Kurochkin V L , Khmelev A V , Petrov I V , Miller A V , Feimov A A , Mayboroda V F , Balanov M Y , Krushinsky V V , Popov A A , Kurochkin Y V 
Published: December 2020

Abstract
Artificial satellites employed as trusted nodes can increase the distance between two parties to establish quantum key distribution (QKD), unlike fiber based communication lines that are limited up to a few hundred kilometers. This report summarises our progress on a ground receiver for satellite QKD and its tracking receiving system (TRS). The authors demonstrate the operation of the TRS in practice and achieve standard tracking error of 1.4/Ltrad observing four satellites over 80% of the time they were available. The optical signal, which was the sunlight reflected of low Earth orbit satellites, was attenuated to a single photon level and was detected effectively using avalanche single photon detectors. The authors have thus proved that the developed system is capable of stable reception of quantum signal from a satellite.
Prediction of traffic flows by applying the statistical method
Authors: Lebedeva O A , Poltavskaya J.O 
Published: December 2020

Abstract
Traffic flows in the streets network undergo changes not only during the day, but also on the weekdays. Existing models take these changes into account as unpredictable fluctuations. Flows may vary systematically due to differences in the schedules of industrial enterprises, warehouses, and terminals. By analyzing the statistics, weekdays or seasons are determined when the flows predictably differ. To process the data, it is necessary to develop models or amend the initial data of the model (in the case of everyday dynamic models) to verify the reliability of the proposed methods. In order to investigate daily variability, as well as take into account the dynamics during the day, the distribution of flows is analyzed using functional linear models. The result of the study is the ability to predict traffic flow by day of the week or season. Testing is carried out on real data. The daily circulation was found to vary significantly for each day of the week, including differences in time and peak flux duration, as well as the relationship between peak and peak peaks. This technique aims to increase the efficiency and reliability of the transport sector as a whole.
Cost optimization of intermodal freight transportation in the transport network
Authors: Lebedeva O A , Poltavskaya J O 
Published: December 2020

Abstract
Intermodal freight transport is an alternative to trucking to distribute large volumes of goods. The article presents the solution of the problem of tactical planning and choice of transportation options. When using railway freight consignors take into account the traffic capacity. Trucking is used for short distances for transportation to intermodal terminals or direct supplies to customers. The study provides an analysis of trucking and intermodal transport in relation to cargo consolidation and cost of services on a model basis. The approach is applied to the industrial distribution system of the region.
Digital image processing systems based on functional-oriented processors with a homogeneous structure
Authors: Lookin N A 
Published: December 2020

Abstract
Real-time digital image processing as part of mobile systems requires solving the problems of development high-performance specialized processors for intraframe image processing. The graphs of intraframe processing algorithms are analysed and their parameters are evaluated, primarily the degree of parallelism. The architectures of functional-oriented processors based on homogeneous computing environments for ultrafast intraframe processing are described. The results of research and development of microelectronic implementation of such processors are presented.
Quick search of neighbour particles in molecular dynamics simulations
Authors: Novikov P L , Pavsky K V , Baranov A A 
Published: December 2020

AbstractQuicksort algorithm as an assistant preliminary tool is proposed for acceleration of neighbour search procedure in the frame of molecular dynamics simulations. Simple estimations are made showing that the number of operations required to determine all the neighbours within a system of particles can be reduced by 2-3 orders of magnitude due to the preliminary sorting. Test molecular dynamics simulations carried out for virtual crystal structure containing atoms manifest 9-fold acceleration achieved by the modified algorithm.
Convolutional neural network approach to event position reconstruction in DarkSide-50 experiment
Authors: Grobov A , Ilyasov A 
Published: December 2020

Abstract
Neural networks are currently used in various fields of science and technology, as well as in experiments related to particle physics. DarkSide-50 is a two-phase (liquid and gas) argon TPC which has two main signals: scintillation in LAr (S1 signal) and electroluminescence in GAr (S2 signal) [1]. In the low-mass dark matter search only the more energetic second signal is used for position reconstruction [2]. As a result only events detected by seven central photomultiplier tubes are used for the analysis. Here we attempt to improve reconstruction using the convolutional neural networks (CNN).
Status of the Phase-2 Tracker Upgrade of the CMS experiment at the HL-LHC
Authors: Calligaris Luigi 
Published: December 2020

Abstract
The Phase-2 Upgrade of the CMS experiment is designed to prepare its detectors for operations at the High Luminosity Large Hadron Collider (HL-LHC). The upgraded collider, scheduled to start operations in 2027, will lead to challenging conditions in terms of data throughput, pile-up and radiation. For these reasons the tracker detector will be entirely replaced by a new detector, the Phase-2 tracker. We present the status of the design, test and validation of the components of the Phase-2 tracker, and its read-out, calibration, control, and data processing chains.
Performance and upgrade plans of the ALICE Photon Spectrometer
Authors: Blau D 
Published: December 2020

Abstract
PHOS is a highly granulated precision spectrometer, one of the two electromagnetic calorimeters of ALICE (A Large Ion Collider Experiment) at the LHC. It is based on scintillating PbWO4 crystals and is dedicated to the precise measurements of spectra, correlations and collective flow of neutral mesons, thermal and prompt direct photons in ultra-relativistic nuclear collisions at LHC energies. PHOS participated in LHC Run 1 (2009–2013) and Run 2 (2015–2018), during which a large amount of physical data were collected in pp, p-Pb and Pb-Pb collisions.
We present an overview of the PHOS performance during Runs 1 and 2 and plans for an upgrade for future LHC runs.
Application of Machine Learning methods for centrality determination in heavy ion reactions at the BM@N and MPD@NICA
Authors: Karpushkin N , Golubeva M , Guber F , Ivashkin A , Morozov S 
Published: December 2020

Abstract
Forward hadron calorimeters in heavy ion experiments are used to determine the centrality and orientation of reaction plane in nucleus-nucleus collisions. In BM@N and MPD@NICA experiments hadron calorimeters with a beam hole in the center will be used, which is motivated by high radiation doses at the BM@N and by the design of the MPD collider experiment. This feature makes it impossible to determine centrality from only the total energy deposition in the calorimeters. Therefore, an approach using machine learning methods was developed to solve the centrality problem. This approach uses information on the energy distribution of particles over the calorimeter surface. The report is dedicated to the description of the new approach for centrality determination. The results of applying the approach to the simulation data of the BM@N and MPD@NICA experiments will be shown.
Modification of hadron production in small and large systems observed by PHENIX
Authors: Mitrankova Mariia 
Published: December 2020

Abstract
Hadron production in p + p, p+A, A+A collisions gives possibility to look inside Quark Gluon Plasma, allowing to study its properties and characteristics. It is one of the main objectives for the high-energy nuclear physics. PHENIX has performed measurements of π
0, η, Ks
, K*, φ and ω meson production in p + p, p+Al, p(d,3He)+Au, Cu+Cu, Cu+Au, Au+Au and U+U collisions at top RHIC energies. This rich collection of data give opportunity for detailed studies of the cold and hot nuclear matter effects from small to large systems. The paper presents obtained spectra and nuclear modification factors and theoretical model predictions where available.
Organic-inorganic nanohybrids for low-powered resistive memory applications
Authors: Gogoi K K , Chowdhury A 
Published: December 2020

Abstract
Organic-inorganic nanohybrids consisting of mutually complementing conducting and semiconducting materials have received much consideration in the field of resistive switching (RS) memory devices. Herein, we report a simple and cost-effective hydrothermal method for the synthesis of reduced graphene oxide (rGO)-semiconductor (SC) nanohybrid materials by varying the semiconducting component. In this work, the sulfur based semiconductors such as ZnS, CuS and SnS are chosen owing to their unexploited nature in the field of resistive memory devices. The synthesized materials are analysed through optical and structural techniques in order to confirm their successful formation. The synthesized nanohybids are then dispersed into polymer matrices (PMMA) and the RS memory properties are studied through current-voltage measurement. The best result of low set/reset voltage (Vset/Vreset) ∼ – 1.10/+1.29 V, low set/reset power consumption (Pset/Preset) ∼ 4.80 × 10-5/1.16 × 10-4 Wcm-2 and high current ON/OFF ratio (ION/IOFF) ∼ 103 is exhibited by the rGO-CuS nanohybrid. Finally, a conduction mechanism based on the phenomenon of charge carrier trapping and de-trapping is proposed to explain the RS properties.
Upconversion enhancement of red-emitting Er3+/Yb3+ with silver nanoparticles codoped tungsten tellurite glasses
Authors: Jat Sunil , Jayaswal Y K , Ansari Ghizal F , Jain Ravi , Mahajan S K 
Published: December 2020

Abstract
The glasses system TeO2-WO3-Li2O containing Er-Yb and Ag nanoparticle (TWLEYA) has been prepared by the metal quenching technique. In the presence of Ag2O in these glasses, silver nanoparticles (AgNPs) is obtained by mean of reheat-treated 12h duration. XRD measurements of the heat-treated glasses confirm the growth of the crystalline phase and glass-ceramic nature of samples. Uv-Vis absorption spectrum demonstrated the characteristic transition of Yb3+ and Er3+ ions with local surface plasmon resonance absorption band of AgNPs arisen at 525nm and 650 nm. For heat-treated TWLEYA glasses under 980nm excitation show two main upconversion transition peak at 548nm and 657nm emerging from 4S3/2 and 4F9/2 states of the Er3+ ions, respectively. All AgNPs doped TWLEYA sample produced huge green contrary to red emission by 980 nm pumping. However, the red emission enhanced by two-fold factor has been measured for 0.7mol% of AgNPs in TWLEYA sample. For these glasses, red emission enhancement is gained by local field proximity of the Ag NPs. Further contribution of optimum 0.7 mol% AgNPs in TWLEYA glass and its emission enhancement of possible energy transfer from AgNPs to Er-Yb has been analyzed.
Fractional order β-Laplace integral transform
Authors: Gaur Amit , Agarwal Garima 
Published: December 2020

Abstract
We introduce a (new) generalized form of β-Laplace integral transform, fractional β-Laplace integral transform, or β-Laplace integral transform of fractional order. The β-Laplace integral transform of fractional order can be applied to functions which are fractional differentiable but are not differentiable. After review some literature on fractional analysis based on the modified Riemann-Liouville derivative, we define the fractional order β-Laplace integral transform, obtain some main properties, convolution property and formula for the inverse of fractional order β-Laplace integral transform.
Study of Navier-Stokes equation by using Iterative Laplace Transform Method (ILTM) involving Caputo- Fabrizio fractional operator
Authors: Yadav Lokesh Kumar , Agarwal Garima , Kumari Manjeet 
Published: December 2020

AbstractThis article arrangement with N-S equation containing the Caputo-Fabrizio differential operator of fractional order. The Iterative Laplace Transform Method (ILTM) has been applied to found numerical solution of time-fractional N-S equation in a tube with unsteady fluid flow in the Caputo-Fabrizio sense. The ILTM is an elegant coupling of transform of the Laplace and new Iterative method (NIM). This scheme provides numerical solution in the terms of power series with easily computable terms. It is observed that the solutions of N-S equations obtained by the ILTM rapidly convergent to exact solutions.
Communication Structures, its graph representation and decomposition possibilities
Authors: Mathew Jasmine , Rejikumar K 
Published: December 2020

Abstract
Communication networks are modelled using graph structures. The efficiency of a network can be determined using the parameters of the graph model. The article reviews the modelling of various communication networks, their graph parameters, classical topologies and their available properties.
If the communication is in one direction, the model is known as simplex model. Its graphical representation requires directed graphs, a kind of generalized graphs. The large networks become complicated for analysis because of having large parametric values. To overcome this difficulty more generalized graphs called hypergraphs are required.
Smart helmet system with accident safety gears and bike tracking mechanism using non IOT methods
Authors: Subbarayappa Shreyanka , Kempasatti Ramesh , Kulkarni Samarth S , Johari Shubhang 
Published: December 2020

Abstract
The road accidents across the world have been increasing every year. Due to this, safety of a rider has become a major concern. It is observed that bike accidents in south Asian countries are in majority as compared to other class of vehicles. Most of these bike accidents are due to rider’s negligence. The intension is to circumvent the negligence of the rider and fatal injuries. In this regard, the Arduino microcontroller system is developed which does not allow the rider to start the bike until the main rider and pillion rider wears the helmet. It is also necessary that the main rider is not drunk and is sober to start the bike which is detected in the helmet. In case of an occurrence of the bike accident, the concerned members of the rider and emergency services are notified with text message and real time location to avoid last minute casualties. If the rider exceeds the speed limit, audio warning alert will be given to the main rider through the speakers in the helmet. The provision for alternate method to start the bike is given to the rider in limited access to avoid misuse of the system in case the helmet is lost. The bike is made trackable in case of lost or not found.
Effect of substrate material on the performance of planoconcave patch antenna for 5G
Authors: Panda Ribhu Abhusan , Satapathy Priti Pragnya , Susmitha Subudhi Sai , Sagar Raghuvu Budhi , Mishra Debasis 
Published: December 2020

Abstract
In this article the design of a Plano-Concave patch antenna has been explored and reported. The effect of substrate material which include the dielectric with a specific dielectric constant has been analysed. Proposed shape of the patch is designed by subtracting a semi-circular patch from the conventional square patch .To analyse the effect of dielectric material on the performance of antenna, different materials with specific dielectric constant ( εr) like Silicon ( εr=11.7 ), Alumina92_pct( εr=9.2 ), FR4 Epoxy ( εr=4.4 ), RT Duroid ( εr=2.2) have been considered . The performance is considered for 5G LMDS application that includes 26.5 GHz to 29.5 GHz. The analysis has been done by considering the S-Parameter (Return loss <-10 dB), Antenna Gain, Directivity, Radiation Efficiency and surface current distribution. Table 1 provides the comparison of parameters for different substrate material.
Timing analysis journey from OCV to LVF
Authors: Rita Mahajan , Aru Sharma , Manish Bansal 
Published: December 2020

Abstract
In the present era, robust, reliable, and efficient SOCs are the need of the hour due to the rapid growth of IoT, networking, artificial intelligence, and many newer technologies. There is huge competition in the market to decrease the size of the electronic devices. All these market demands have put lots of pressure on silicon industries to accommodate more functionality on a single chip. As a result of this, with time, there is very fast shrinkage in the technology node. But this technology advancement comes with plenty of challenges. One of the primary challenges is undesired on-chip local variations (OCV) & its accurate modeling for timing analysis (STA). This paper discusses all the aspects of timing analysis and the evolution of different methodologies that shape timing analysis over the course of time. The methodologies to define margins for accurate timing analysis is the heart of accurate analysis at lower nodes. The paper will include an emphasis on how the timing analysis have moved from a global derate value to the architecture, condition-based derate value, used through all these methodologies. The paper will focus on the concept of all of the important methodologies and how they have evolved through time.
Low cost ANN based MPPT for the mismatched PV modules
Authors: Berclin Jeyaprabha S 
Published: December 2020

Abstract
Due to manufacturing dispersal, the photovoltaic (PV) panels of similar rating and manufacturer have distinctive characteristics in practical. As the maximum power point tracking (MPPT) becomes essential to optimally utilize the solar PV panel, distributed maximum power point tracking (DMPPT) is considered in this paper to follow the MPP of each panel. As the common MPP value is used in the existing DMPPT method to control all the panels, it fails to consider the uniqueness of each panel. By considering the uniqueness of each panel, the ANN based MPPT is implemented in this paper. As the ANN is trained using the actual characteristics of each panel based on the operating current, voltage and temperature, it is able to track the actual MPP. Due to the solar irradiance free MPPT, the costly pyranometer is not required in the actual PV system for MPPT. It reduces the cost of the system and also provides the interruption free tracking due to its independent nature on Voc
and Isc
values. Also, because of the looping free behaviour of the proposed algorithm, it is capable of following the MPP at rapidly varying condition. The proposed technique and the verified outcomes are discussed here in detail.