bluuebunny/crossref_metadata_2025_split huggingface dataset:
The coronavirus pandemic: Danger, risk or threat?
Authors: Battistelli Fabrizio 
Published: November 2022

ABSTRACT
The coronavirus pandemic has sparked a heated debate both in political and academic terms. A dialectic has been revealed between the Left and Right. Progressive governments resort to containment measures which are an expression of a ‘collectivist’ position, while conservative governments adopt policies of tolerance which are an expression of an ‘individualist’ laissez faire orientation. Another dialectic is reflected in a disciplinary difference between the inductive approach of sociologists and the deductive approach of philosophers like Giorgio Agamben. Sociology views the harms provoked by the coronavirus as a matter of fact, without, however, excluding the social construction of the pandemic. It is misleading on the part of governments to present the containment of the disease as a ‘war’ and the virus as an ‘enemy’. The confusion between real threats, (originating in malicious intentionality), and dangers, (unintentional phenomena of natural origin), is being exploited. This is even more true concerning the confusion between threats and risks, i.e. possible harms (as well as possible benefits) coming from ‘our’ decisions. It must be recognised that the pandemic is a danger as regards its origin, but its development is magnified by other processes, such as environmental degradation. It means shifting responsibility from an external agent to the responsibility of an internal decision-maker. This should inspire policies no longer focused on an exaggerated concern with external threats, but aimed at redirecting material and intangible resources towards structural and situational prevention of dangers.
Final report on GULFMET supplementary comparison of high voltage transformer measuring systems (GULFMET.EM-S6)
Authors: Velychko O , Kikalo V , Cayci H , Ayhan B , Qoud Saad Bin 
Published: November 2022

Main text
A comparison of high voltage transformer measuring systems between SE "Ukrmetrteststandard" (Ukraine), TÜBİTAK (Turkey) and NMCC SASO (Saudi Arabia), conducted between November 2020 and December 2021. Voltage transformers ПЭТН-6/10 and НЛЛ-35 are used as the traveling standards and SE "Ukrmetrteststandard" acted as the pilot laboratory. Measurements were performed at a current from 6 kV to 35 kV at frequencies 50 Hz and 60 Hz.
To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.
The final report has been peer-reviewed and approved for publication by the CCEM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Simulation and accuracy analysis of orbit determination for TianQin using SLR data
Authors: An Zicong , Shao Kai , Gu Defeng , Zhu Jubo , Li Ming , Tong Lisheng , Wei Chunbo 
Published: November 2022

Abstract
TianQin project is a space gravitational wave detection project initiated by Sun Yat-sen University. It has high requirements for detectors’ orbit accuracy in the stages of orbit entry and scientific experiment operation. We obtain the different combinations of radial position errors and along-track velocity errors after analyzing the detectors orbit errors according to the stability requirements of TianQin constellation. Satellite laser ranging (SLR) is the space geodetic technique with the highest accuracy of range measurement, which is a commonly used method for satellite orbit determination. This paper uses solely simulated SLR data to determinate the precise orbit of TianQin detectors. We examine how the number of stations, the distribution of stations, and the measurement errors affect the SLR-only orbit determination accuracy. The results demonstrate that: (a) for the 7 days solution with 1 cm random errors and 0.5 cm systematic errors of SLR simulations, the average orbit determination accuracy of TianQin detectors is increasing from 27.37 m when using 5 Chinese stations to 9.34 m when using 6 Chinese stations. (b) The orbit determination accuracy can be significantly improved by optimizing the distribution of stations, which is increasing from 9.34 m for regional distribution to 1.75 m for global distribution when the number of stations is six. (c) When employing 6 Chinese stations, each 1 cm of random errors results in a deterioration in position accuracy by 19% and in velocity accuracy by 23%, each 1 cm of systematic errors affects 14% for position accuracy and 15% for velocity accuracy, respectively. While the impact of measurement errors on the orbit determination accuracy is aggravated when using 6 global distribution stations, which are 35% and 33% of 1 cm random errors and 17% and 20% of 1 cm systematic errors, respectively.
Graphene oxide-based random access memory: from mechanism, optimization to application
Authors: Xie Yu , Qi Meng , Xiu Xiaoming , Yang Jiadong , Ren Yanyun 
Published: November 2022

Abstract
According to Moore’s Law’s development law, traditional floating gate memory is constrained by charge tunneling, and its size is approaching the physical limit, which is insufficient to meet the requirements of large data storage. The introduction of new information storage devices may be the key to overcoming the bottleneck. Resistive random access memory (RRAM) has garnered interest due to its fast switching speed, low power consumption, and high integration density. The resistive switching (RS) behaviors can be demonstrated in many materials, including transition metal oxides, perovskite oxides and organic matter, etc. Among these materials, graphene oxide (GO) with its unique physical, chemical properties and excellent mechanical properties is attracting significant attention for use in RRAM owing to its RS operation and potential for integration with other graphene-based electronics. However, there is unacceptable variability in RS reliability, including retention and endurance, which is the key factor that affects the development of memristors. In addition, the RS mechanism of GO-based RRAM has not been systematically discussed. In this article, we discuss systematically several typical models of the switching mechanism of GO-based RRAM and a summary of methods for improving the device’s RS performance. This article concludes by discussing the applications of GO-RRAM in artificial neural networks, flexible devices, and biological monitoring.
Structural, electronic and optical properties of monolayer InGeX3 (X = S, Se, Te) by first-principles calculations
Authors: Hu Xuemin , Feng Zheng , Yuan Shaoyang , Huang Yong , Zhang Gang 
Published: November 2022

Abstract
Recently, two-dimensional materials have attracted enormous attentions for electronic and optoelectronic applications owing to their unique surface structures and excellent physicochemical properties. Herein, the structural, electronic and optical properties of a series of novel monolayer InGeX3 (X = S, Se, Te) materials are investigated systematically by means of comprehensive first-principles calculations. All these three materials exhibit hexagonal symmetries and dynamical stabilities with no imaginary phonon mode. For monolayer InGeX3 (X = S, Se, Te), there exist obvious In–X ionic bonds and the partially covalent interactions of Ge–Ge and Ge–X. By using the HSE06 method, the band gaps of monolayer InGeX3 are predicted to 2.61, 2.24 and 1.80 eV, respectively. Meanwhile, the p-s orbital hybridizations are happened between X and In atoms in the conduction band regions and their interactions become smaller with the increase of X atomic number. In addition, the dielectric function, absorption coefficient and reflectivity spectra of monolayer InGeS3, InGeSe3 and InGeTe3 show the strong optical peaks along the in-plane direction in the UV light region. The definite bandgaps and optical properties make monolayer InGeX3 (X = S, Se, Te) materials viable candidates for future electronic and optoelectronic applications.
The research on improving the spatial resolution of radiant optical fiber temperature sensor
Authors: Yang Yu , Niu Yanxiong , Wang Botao , Liang Tao , Ding Ming 
Published: November 2022

Abstract
A method to improve the spatial resolution of the radiant optical fiber temperature sensor is proposed in this paper. The front lens of the sensor is designed to limit the diameter of the thermometry target. In order to avoid limiting the influence of the thermometry target diameter on the sensor radiation-light coupling ability, a mathematical model of the radiation-light coupling of the sensor is established, and the relationship between the radiation-light coupling ability of the sensor and the diameter of the thermometry target is analyzed. Furthermore, an aspheric lens is applied to reduce the influence of aberration on the diameter of the thermometry target. The experimental results show that the deviation between the actual temperature measuring target diameter and the theoretical design value is less than 0.2 mm. The radiation received by the sensor outside the temperature measuring target is less than 10% of its total received radiation. Moreover, when there is radiated light interference outside the temperature measurement target, the temperature measurement error of the sensor is only 0.21%–2.61%, indicating that the proposed method has practical significance in improving the spatial resolution of the temperature measurement.
Spatially discretised compensation method for coordinate transformation in large-scale metrology under nonuniform temperature field
Authors: Luo Wenxu , Yu Cijun , Wang Qing , Zhao Anan , Ke Yinglin 
Published: November 2022

Abstract
Temperature-variation-induced error compensation plays a pivotal role in large-scale metrology, in which the nonuniform temperature field would greatly influence the coordinate transformation process between different systems. This paper proposes a novel analytical thermal deformation compensation method with spatial discretisation modelling among 2D distributed enhanced reference system points to reduce the thermal influence on the coordinate transformation process. First, the analytical thermal deformation model based on the spatial discretisation is established with the plane thermal elastic mechanics and the Finite Difference Method. Then the nonuniform temperature field model is developed based on Ordinary Kriging spatial interpolation. Finally, a compensation method for the coordinate transformation process is proposed based on the actual measurement data and the proposed thermal deformation model. The experimental results illustrate the existence and significance of the nonuniform feature of the temperature field. By the proposed compensation method, the coordinate transformation error is reduced by 47.13% and 76.67% in the x and y directions, respectively. The method is applicable to diminish the influence of thermal deformation under a nonuniform temperature field on the coordinate transformation of large-scale metrology.
Strain-regulated electronic properties of helical polymer with phenylacetylene monomers—a first principle study
Authors: Jiang Yingjie , Wei Xiaoding 
Published: November 2022

Abstract
Helical polymers, a class of organic polymers with a unique spring-like structure, possess interesting electronic configurations and axial quantum transport properties thanks to the tunable interlayer electronic interaction by strain engineering. In this report, we carried out first-principle calculations to investigate the electronic structures and transport properties of the helical polymer with phenylacetylene monomers under compressive strains. The band structures of the material show a remarkable semiconductor-to-metal phase transition and enhanced electronic dispersion caused by the great interlayer coupling when subjected to an increasing compressive strain. During compression, the conduction band minimum and valence band maximum gradually move closer to the Fermi level and eventually pass through the Fermi surface. Moreover, under large strains, a notable overlap between interlayer electron clouds makes an effective channel for the axial electron transmission, explaining the greatly improved charge transport properties. This improvement is mainly due to the formation of the interlayer transmission channels through σ bonds. Our findings on the strain-regulated electronic properties of helical polymers suggest there are great potential applications of these materials in high-performance sensors and flexible electronic devices.
A simple and fast method for the fabrication of p-type β-Ga2O3 by electrochemical oxidation method with DFT interpretation
Authors: Deng Zu-Yin , Kumar Utkarsh , Ke Chia-Hsin , Lin Chin-Wei , Huang Wen-Min , Wu Chiu-Hsien 
Published: November 2022

Abstract
In this work, a simple electrochemical oxidation method has been used to prepare p-type β-Ga2O3 nanoparticles. This method overcomes the problem of doping high energy gap semiconductors to form p-type. The electron holes of β-Ga2O3 were caused by oxygen vacancy (Vo) and showed the shorter lattice constant and preferred orientation in XRD analysis. The peak area of oxygen vacancy also reflects a higher ratio than n-type Ga2O3 in x-ray photoelectron spectroscopy (XPS). The adsorption of reducing gas (CO, CH4, and H2 ) enhanced the resistance of the β-Ga2O3 confirming the p-type character of NPs. The DFT calculations showed that oxygen vacancy leads to higher energy of the Fermi level and is near the valence band. The binding energy of Ga2O3 and after interaction with gas molecular was also calculated which is analogous to our experimental data.
Residual stress, strain and defects: its effect on the band gap of poly-Ge thin film realized on glass via Au induced layer exchange crystallization process
Authors: Singh Ch Kishan , Mathews T , Dhara Sandip 
Published: November 2022

Abstract
Residual stress in polycrystalline-Ge thin film realized on glass substrate using Au-induced layer exchange crystallization process is evaluated using x-ray diffraction based technique. The measured stress is found to be tensile in nature, from which we delineate and discuss the extrinsic thermal and intrinsic growth stresses. An in-plane biaxial tensile strain ∼0.15% was estimated to be endured by the polycrystalline-Ge thin film. The narrowing effect that such strain and the crystallization or growth-related defects have on the optical energy band gap of the polycrystalline-Ge thin film is elucidated.
Accelerating phase prediction of refractory high entropy alloys via machine learning
Authors: Qu Nan , Zhang Yan , Liu Yong , Liao Mingqing , Han Tianyi , Yang Danni , Lai Zhonghong , Zhu Jingchuan , Yu Liang 
Published: November 2022

Abstract
The unique high-temperature properties of refractory high entropy alloys (HEAs) are mainly depended on their phase formation. Therefore, a new approach to predict the phase formation has to be proposed, in order to accelerate the development of refractory HEAs. Here, we use machine learning to build classifiers to predict the phase formation in refractory HEAs. Our dataset containing 271 data only consists of as-cast refractory HEAs data. We simplify the input parameters to element content, and refine the phase formation outputs into five classes. Decision tree has been employed to build our phase classifier, due to its great advantages in solving classification problem. Both training and test accuracy of phase formation prediction achieve 90% using our classifier. The five single phase prediction accuracies are above 97%. Our phase classifier performs effectively in multi-phases classification and prediction of refractory HEAs, and establishes a direct relation between compositions and refractory phase formation.
Study of pressure induced physical variations in the electronic and optical properties of MgA2Te4 (A = Sc, Y)
Authors: Ali Liaqat , Neffati R , Muhammad Anees , Ullah Mohib , Ashraf Muhammad Waqar , Haneef Muhammad , Murtaza G 
Published: November 2022

Abstract
In this work, the electrical, and optical properties are investigated for MgSc2Te4 and MgY2Te4 spinel compounds under the effect of pressure up to 15 and 30 GPa, respectively. These compounds are suitable for optoelectronics and photovoltaic applications. Trans-Blaha modified Becke Johnson (TB-mBJ) approximation exchange and correlation functionals were used to uncover electronic and optical properties. The electronic band gaps of both compounds appear to be direct despite the effect of pressure. MgSc2Te4 exhibits metallic behavior at 15 GPa, while MgY2Te4 exhibits metallic behavior at 30 GPa. Density of states spectra used to identify the atomic contribution of states by ions in the bands. Real part of the dielectric function, optical reflectivity and refractive index upshifted with the increase in energy while the imaginary parts of the dielectric function, optical conductivity and absorption coefficient red-shifted with the increase of hydrostatic pressure.
A generalized nonlinear fifth-order KdV-type equation with multiple soliton solutions: Painlevé analysis and Hirota Bilinear technique
Authors: Kumar Sachin , Mohan Brij 
Published: November 2022

Abstract
In present work, we formulate a new generalized nonlinear KdV-type equation of fifth-order using the recursion operator. This equation generalizes the Sawada-Kotera equation and the Lax equation that study the vibrations in mechanical engineering, nonlinear waves in shallow water, and other sciences. To determine the integrability, we use Painlevé analysis and construct solutions for multiple solitons by employing the Hirota bilinear technique to the established equation. It produces a bilinear form for the driven equation and utilizes the Lagrange interpolation to create a dependent variable transformation. We construct the solutions for multiple solitons and show the graphics for these built solutions. The mathematical software program Mathematica employs symbolic computation to obtain the multiple solitons and various dynamical behavior of the solutions for newly generated equation The Sawada-Kotera equation and Lax equation have various applications in mechanical engineering, plasma physics, nonlinear water waves, soliton theory, mathematical physics, and other nonlinear fields.
Conventional photon blockade in a four-wave mixing system with Kerr nonlinearity
Authors: Wang Zhu-Xin , Yang Hui , Wang Xiao-Qian , Lin Hong-Yu , Yao Zhi-Hai 
Published: November 2022

Abstract
We investigate conventional photon blockade in a non-degenerate four wave mixing system with Kerr non-linearity. By analyzing the Hamiltonian of the system, we have acquired the corresponding condition to implement photon anti-bunching effect. And we solve the master equation with the purpose of obtaining solutions numerically. We find that the analytic conditions could be consistent with numerical results, and photon blockade could be realized in this system. Furthermore, we discuss the effect of several parameters on the realization of conventional photon blockade in detail. The results show that four wave mixing interaction and Kerr non-linearity could significantly enhance the conventional photon blockade effect, whereas the dissipation rate has a negative effect on implementing photon blockade.
General null Lagrangians and their novel role in classical dynamics
Authors: Das R , Musielak Z E 
Published: November 2022

Abstract
A method for constructing general null Lagrangians and their higher harmonics is presented for dynamical systems with one degree of freedom. It is shown that these Lagrangians can be used to obtain non-standard Lagrangians, which give equations of motion for the law of inertia and some dissipative dynamical systems. The necessary condition for deriving equations of motion by using null Lagrangians is presented, and it is demonstrated that this condition plays the same role for null Lagrangians as the Euler–Lagrange equation plays for standard and non-standard Lagrangians. The obtained results and their applications establish a novel role of null Lagrangians in classical dynamics.
CASA on the Fringe—Development of VLBI Processing Capabilities for CASA
Authors: van Bemmel Ilse M. , Kettenis Mark , Small Des , Janssen Michael , Moellenbrock George A. , Petry Dirk , Goddi Ciriaco , Linford Justin D. , Rygl Kazi L. J. , Liuzzo Elisabetta , Marcote Benito , Bayandina Olga S. , Schweighart Neal , Verkouter Marjolein , Keimpema Aard , Szomoru Arpad , van Langevelde Huib Jan 
Published: November 2022

Abstract
New functionality to process Very Long Baseline Interferometry (VLBI) data has been implemented in the CASA package. This includes two new tasks to handle fringe fitting and VLBI-specific amplitude calibration steps. Existing tasks have been adjusted to handle VLBI visibility data and calibration meta-data properly. With these updates, it is now possible to process VLBI continuum and spectral line observations in CASA. This article describes the development and implementation, and presents an outline for the workflow when calibrating European VLBI Network or Very Long Baseline Array data in CASA. Though the CASA VLBI functionality has already been vetted extensively as part of the Event Horizon Telescope data processing, in this paper we compare results for the same data set processed in CASA and AIPS. We find identical results for the two packages and conclude that CASA in some cases performs better, though it cannot match AIPS for single-core processing time. The new functionality in CASA allows for easy development of pipelines or Jupyter notebooks, and thus contributes to raising VLBI data processing to present day standards for accessibility, reproducibility, and reusability.
MRASleepNet: a multi-resolution attention network for sleep stage classification using single-channel EEG
Authors: Yu Rui , Zhou Zhuhuang , Wu Shuicai , Gao Xiaorong , Bin Guangyu 
Published: November 2022

Abstract

Objective. Computerized classification of sleep stages based on single-lead electroencephalography (EEG) signals is important, but still challenging. In this paper, we proposed a deep neural network called MRASleepNet for automatic sleep stage classification using single-channel EEG signals. Approach. The proposed MRASleepNet model consisted of a feature extraction (FE) module, a multi-resolution attention (MRA) module, and a gated multilayer perceptron (gMLP) module, as well as a direct pathway for computing statistical features. The FE, MRA, and gMLP modules were used to extract features, establish feature attention, and obtain temporal relationships between features, respectively. EEG signals were normalized and cut into 30 s segments, and enhanced by incorporating contextual information from adjacent data segments. After data enhancement, the 40 s data segments were input to the MRASleepNet model. The model was evaluated on the SleepEDF and the cyclic alternating pattern (CAP) databases, using such metrics as the accuracy, Kappa, and macro-F1 (MF1). Main results. For the SleepEDF-20 database, the proposed model had an accuracy of 84.5%, an MF1 of 0.789, and a Kappa of 0.786. For the SleepEDF-78 database, the model had an accuracy of 81.4%, an MF1 of 0.754, and a Kappa of 0.743. For the CAP database, the model had an accuracy of 74.3%, an MF1 of 0.656, and a Kappa of 0.652. The proposed model achieved satisfactory performance in automatic sleep stage classification tasks. Significance. The time- and frequency-domain features extracted by the FE module and filtered by the MRA module, together with the temporal features extracted by the gMLP module and the statistical features extracted by the statistical highway, enabled the proposed model to obtain a satisfying performance in sleep staging. The proposed MRASleepNet model may be used as a new deep learning method for automatic sleep stage classification. The code of MRASleepNet will be made available publicly on https://github.com/YuRui8879/.