bluuebunny/crossref_metadata_2025_split huggingface dataset:
The eROSITA Final Equatorial-Depth Survey (eFEDS)
Authors: Ghirardini Vittorio , Emre Bahar Y. , Bulbul Esra , Liu Ang , Clerc Nicolas , Pacaud Florian , Comparat Johan , Liu Teng , Ramos-Ceja Miriam E. , Hoang Duy , Ider-Chitham Jacob , Klein Matthias , Merloni Andrea , Nandra Kirpal , Ota Naomi , Predehl Peter , Reiprich Thomas H. , Sanders Jeremy , Schrabback Tim 
Published: December 2021

Context.Morphological parameters are the estimators for the dynamical state of clusters of galaxies. Surveys performed at different wavelengths through their selection effects may be biased toward, different populations of clusters. For example, X-ray surveys are biased to detecting cool-core clusters as opposed to Sunyaev-Zel’dovich (SZ) surveys being more biased toward non-cool-core systems. Understanding the underlying population of clusters of galaxies in surveys is of the utmost importance when these samples are to be used in astrophysical and cosmological studies.Aims.We present an in-depth analysis of the X-ray morphological parameters of the galaxy clusters and groups detected in the eROSITA Final Equatorial-Depth Survey (eFEDS). The eFEDS, completed during the performance verification phase of the Spectrum-Roentgen-Gamma(SRG)/eROSITA telescope, is designed to provide the first eROSITA X-ray selected sample of galaxy clusters and groups.Methods.We studied the eROSITA X-ray imaging data for a sample of 325 clusters and groups that were significantly detected in the eFEDS field. We characterized their dynamical properties by measuring a number of dynamical estimators: concentration, central density, cuspiness, centroid shift, ellipticity, power ratios, photon asymmetry, and the Gini coefficient. The galaxy clusters and groups detected in eFEDS cover a luminosity range of more than three orders of magnitude and a wide redshift range out to 1.2. They provide an ideal sample on which the redshift and luminosity evolution of the morphological parameters can be studied and the underlying dynamical state of the sample can be characterized. Based on these measurements, we constructed a new dynamical indicator, the relaxation score, for all the clusters in the sample.Results.We find no evidence for a bimodality in the distribution of the morphological parameters of our clusters. We instead observe a smooth transition from the cool core to non-cool core and from relaxed to disturbed states, with a preference for skewed distributions or log-normal distributions. A significant evolution in redshift and luminosity is also observed in the morphological parameters we examined after taking the selection effects into account.Conclusions.We determine that in contrast do ROSAT-based cluster samples, our eFEDS-selected cluster sample is not biased toward cool-core clusters, but contains a similar fraction of cool-cores as SZ surveys.
Long Non-Coding RNA Small Nucleolar RNA Host Gene 5 (SNHG5) Regulates Renal Tubular Damage in Diabetic Nephropathy via Targeting MiR-26a-5p
Authors: Cai Qing , Wang Chao , Huang Li , Wu Chen , Yan BingChao , Chen Ting , Li Qinjun , Wang Ling 
Published: December 2021

AbstractThe study explored the diagnostic value of SNHG5 in diabetic nephropathy (DN) and investigated the role and mechanism on DN via establishing the in vitro HK2 cell model. This study recruited 62 types 2 diabetes mellitus (T2DM) patients, 58 DN patients and 60 healthy controls (HC). The expressions of serum SNHG5 and miR-26a-5p were measured by RT-qPCR analysis. The diagnostic value of SNHG5 in DN was assessed by ROC curve. The in vitro cell model was built to estimate the effects of SNHG5 on cell viability, cell apoptosis, inflammation response and oxidative stress. Serum SNHG5 was increased in DN patients (relative expression: 2.04±0.34) and had the diagnostic value in DN. After HK2 cells were treated with high glucose, the cell viability decreased and apoptosis increased, and the production of inflammatory cytokines and ROS enhanced significantly. It was noticed that inhibition of SNHG5 could reverse the above phenomenon caused by high glucose. Besides, serum miR-26a-5p was diminished in DN patients, and luciferase reporter gene revealed that miR-26a-5p is direct target of SNHG5. These results indicated that inhibition of SNHG5 may mitigate HG-induced renal tubular damage via targeting miR-26a-5p, which providing a new insight into the mechanism of renal tubule damage in DN patients.
Association Between Prediabetes and Retinopathy: A
Meta-Analysis
Authors: Jin Ji , Lu Peirong 
Published: December 2021

AbstractDiabetes confers an increased risk of microvascular complications, including
retinopathy. However, whether prediabetes is also related to retinopathy has not
been comprehensively examined. We performed a meta-analysis to evaluate the
relationship between prediabetes and retinopathy. This meta-analysis included
relevant observational studies from Medline, Embase, and Web of Science
databases. A random-effect model after incorporation of the intra-study
heterogeneity was selected to pool the results. Subgroup analyses were applied
to evaluate the influences of study characteristics on relationship. Nine
cross-sectional studies including 14 751 community dwelling adult participants
were included; 3847 (26.1%) of them were prediabetic. Results showed
that prediabetes was associated with a higher prevalence of retinopathy compared
to normoglycemia [odds ratio (OR): 1.55, 95% confidence interval (CI):
1.10–2.20, p=0.01, I2=34%].
Sensitivity analysis by excluding one study at a time showed consistent result
(OR: 1.35 to 1.73, p all<0.05). Subgroup analysis showed study
characteristics such as definition of prediabetes, country of study, sample
size, mean age of participants, or univariate or multivariate analyses may not
significantly affect the association (p for subgroup difference
all>0.05). Current evidence suggests that patients with prediabetes may
be associated with higher prevalence of retinopathy as compared to those with
normoglycemia. Although prospective cohort studies are needed to validate these
findings, results of our meta-analysis highlighted the importance of early
prevention of retinopathy in patients with prediabetes.
The role of epitaxial strain on the electronic and magnetic structure of La0.7Sr0.3MnO3/LaCoO3 bilayers
Authors: Das S. , Ghosh S. , Tanguturi R. G. , Medwal R. , Gupta S. , Dokala R. K. , Rawat R. S. , Das S. , Thota S. 
Published: December 2021

Realizing atomically flat interfaces between the ultrathin perovskite oxides is a challenging task, which usually possess different chemical environments, depending on the terminating lattice planes. Hence, tuning the interfaces across the heterostructures for desired electrical and magnetic properties is a powerful approach in oxide electronics. Focusing on these aspects, in the present work we employ a novel strategy of engineering the interfaces through the layer stacking sequence and degree of strain to probe the changes occurring in the local atomic environment at the interfaces, magnetic behaviour, and electronic properties of ferromagnetic bilayers La0.7Sr0.3MnO3 (LSMO)/LaCoO3 (LCO) grown by the pulsed laser deposition technique. The biaxial tensile strain experienced by these layers drives the ferromagnetic (FM) ordering temperatures to lower values as compared to their bulk counterparts. Interestingly, the bilayer sequence LCO (15 nm)/LSMO (5 nm) (BL2) exhibits large magnetocrystalline anisotropy (Ku ≈ 4.7 × 104 erg/cc) and weak anti-FM coupling across the interface of the two FM constituents, resulting in a partial compensation in the magnetic moment of the system within a specific temperature window (ΔT = 184 − 82 K). However, for T ≤ 82 K, the FM superexchange interaction between the trivalent Co high-spin and low-spin states dominates the overall magnetic ordering in BL2. The magnetodynamic features probed by the frequency dependent FM resonance (FMR) on this system yield the gyromagnetic ratio (γ/2π ∼ 29.22 GHz/T), demagnetization fields (4πMeff ∼ 3770 Oe), and effective damping constant (αeff ∼ 0.0143) for the BL2 configuration. Moreover, the strength of the nearest-neighbor exchange interaction Jeff in the BL2 configuration exhibits linear falloff with the increasing LCO layer thickness (2 nm ≤tLCO≤ 18 nm). This scenario is also consistent with the variation of the effective number of spins available per unit volume [10 cm−3 ≤ NV(×1022) ≤ 2 cm−3] with increasing tLCO. As tLCO approaches negligibly small values (&lt;2 nm), the magnitude of Jeff/kB reaches its maximum ∼5.47 K (for LCO) and 21.93 K (for LSMO), which is in good agreement with Jeff/kB ∼ 5 ± 2 K (20 ± 2 K) for highly epitaxial LCO (LSMO) single layers. These results demonstrate that the layer sequence control of magnetic coupling across the interfaces opens a constructive approach for exploring the novel electronic devices.
Temperature dependence of cathodoluminescence emission in irradiated Si-doped β-Ga2O3
Authors: Modak Sushrut , Chernyak Leonid , Schulte Alfons , Xian Minghan , Ren Fan , Pearton Stephen J. , Ruzin Arie , Kosolobov Sergey S. , Drachev Vladimir P. 
Published: December 2021

Temperature dependent continuous and time-resolved cathodoluminescence measurements were employed to understand the luminescence from Si-doped β-Ga2O3 prior to irradiation and after 10 MeV proton and 18 MeV alpha-particle irradiation. The shape and location of the luminescence components [ultraviolet luminescence (UVL′) at 3.63 eV, UVL at 3.3 eV, and blue-luminescence at 2.96 eV] obtained from Gaussian decomposition did not change in either width or peak location, indicating that new radiation-induced trap-levels were non-radiative in nature between the 4.5 and 310 K temperature range. Activation energies, associated with thermal quenching of UVL′ and UVL bands, show temperature dependence, suggesting ionization of shallow Si-donors and a thermally activated non-radiative process.
Electron swarm parameters and dielectric strength of C5F10O and its mixtures with CO2 and dry air
Authors: Hao Mai , Zhang Boya , Li Xingwen , Xiong Jiayu 
Published: December 2021

Abstract
Perfluoroketone C5F10O is considered as a potential SF6 alternative. The global warming potential of C5F10O is extremely low and even close to that of air. We investigated the electrical insulation properties of the C5F10O by pulsed Townsend experiment. The rate coefficients of ionization, attachment, and effective ionization, as well as the electron drift velocity and the longitudinal electron diffusion coefficient in pure C5F10O were obtained. We conclude that the density-reduced critical electric field of pure C5F10O is (768 ± 5)Td and ion kinetics are not exist or negligible in C5F10O. Furthermore, the swarm parameters of C5F10O/CO2 and C5F10O/Air mixtures with C5F10O percentage up to 30% were measured in a wide E/N-range. C5F10O has good synergism with both CO2 and dry air and air behaves better. The synergistic effect coefficients were also calculated. To have the same (E/N)crit as pure SF6, the mixing ratio of C5F10O should be 30% in the mixture with CO2 and 26% in the mixture with dry air. The obtained electron swarm parameters in this paper provide a supplement for the fundamental data set of these novel gases, and also lay the foundation for fluid model simulations of gas discharge.
Evaluation of grain boundary energy, structure and stiffness from phase field crystal simulations
Authors: Blixt Kevin Hult , Hallberg Håkan 
Published: December 2021

Abstract
A two-mode phase field crystal (PFC) model is employed to investigate the equilibrium configurations of a range of grain boundaries in fcc-structured materials. A total of 80 different symmetrical tilt grain boundaries are evaluated by PFC simulations in 3D and the results are shown to agree well with data taken from the literature, both regarding the variation of grain boundary energy and also in terms of the resulting grain boundary structures. This verification complements existing PFC studies which are almost exclusively focused either on grain boundaries found in 2D systems or in bcc lattices in 3D. The present work facilitates application of PFC in the analysis of grain boundary mechanics in an extended range of materials, in particular such mechanics that take place at extended time scales not tractable for molecular dynamics (MD) simulations. In addition to the verification of predicted grain boundary energies and structures, wavelet transforms of the density field are used in the present work to obtain phase fields from which it is possible to identify grain boundary fluctuations that provide the means to evaluate grain boundary stiffness based on the capillarity fluctuation method. It is discussed how PFC provides benefits compared to alternative methods, such as MD simulations, for this type of investigations.
Smallest remnants of early matter domination
Authors: Barenboim Gabriela , Blinov Nikita , Stebbins Albert 
Published: December 2021

Abstract
The evolution of the universe prior to Big Bang Nucleosynthesis could have gone through a phase of early matter domination which enhanced the growth of small-scale dark matter structure. If this period was long enough, self-gravitating objects formed prior to reheating. We study the evolution of these dense early halos through reheating. At the end of early matter domination, the early halos undergo rapid expansion and eventually eject their matter. We find that this process washes out structure on scales much larger than naively expected from the size of the original halos. We compute the density profiles of the early halo remnants and use them to construct late-time power spectra that include these non-linear effects.
We evolve the resulting power spectrum to estimate the properties of microhalos that would form after matter-radiation equality.
Surprisingly, cosmologies with a short period of early matter domination lead to an earlier onset of microhalo formation compared to those with a long period. In either case, dark matter structure formation begins much earlier than in the standard cosmology, with most dark matter bound in microhalos in the late universe.
Ångström-Prescott Models of Solar radiation over Earth surface
Authors: Bautista-Rodríguez Gloria MarinaGloria Marina , Chacón-Cardona César Alexander 
Published: December 2021

Abstract
The current energy demand increases every day and the deficit of electricity generation in Colombia due to technical aspects such as the lack of generation infrastructure, cost overruns in the construction projects of new plants and environmental variability as a consequence of climate change, entail a high risk of energy rationing; for this reason some of the users, whether industrial or residential, have decided to seek multiple alternatives to reduce the costs of their billing in interconnected areas and even supply their energy needs.
Among these alternatives is found solar energy in its thermal and photovoltaic use, a resource that must be characterized in order to determine the technical and budgetary aspects involved in the implementation of profitable energy generation projects. This article seeks to provide technical tools for the design and implementation of generation projects based on solar energy, providing physical-mathematical approach based in the classical Angström-Prescott model that allow engineers and researchers to model the global solar radiation on the Earth’s surface in order to maximize the use of this resource in a specific geographical location.
Although there are different ways to characterize the solar resource on the earth’s surface, this paper presents a review study focused on the most important global solar radiation estimation models present in the literature.
Mechanical Design and Improvement of Computer Automatic Production Line
Authors: Jiang Haixiang , Tang Yanhua , Jiang Quanxin 
Published: December 2021

Abstract
The mechanical design amelioration of automatic production line can intelligently adjust the production rhythm of the production line on demand, control the rhythm of production scheduling according to the production process requirements, and establish a modular design mode, so it has important research value. Based on this, this paper first analyses the mechanical design principle of the automatic production line, then studies the computer control system of the automatic production line, and finally gives the amelioration measures of the mechanical design of the automatic production line.
Concrete Management Monitoring System Based on Particle Swarm Algorithm
Authors: Pan Dongying 
Published: December 2021

Abstract
With the rapid development of the national construction infrastructure industry, concrete structures often have various problems such as cracks in the early and later operations. The further development of these problems may endanger the structural safety of the entire building. The particle swarm algorithm is simple to operate, less parameter settings, easy to implement, etc., which can solve the problem of concrete monitoring. Based on this, the purpose of this article is to study the concrete management monitoring system based on particle swarm optimization. This article first summarizes the basic theory of particle swarm algorithm, and then extends its core algorithm technology. Analyze the existing problems and deficiencies in the current concrete structures in our country. And use particle swarm algorithm to research and analyze the concrete management monitoring system. This paper systematically describes the outline design and detailed design of the concrete management monitoring system based on particle swarm optimization. And by comparative method, field survey method and other research forms to carry out experimental research on the main body of this article. Research shows that the maximum absolute error of the crack width measured by the particle swarm optimization-based concrete management monitoring system W2 and the actual crack width W1 measured by the crack width comparison ruler is 0.232mm, which is less than 0.3mm, and the maximum relative error is 4.59%, to meet the system design requirements, which proves the rationality and effectiveness of the system.
Feature Extraction and Analysis of Microseismic Signal Based on Convolutional Neural Network
Authors: Zhang Hui , Zhai Hao , Zhang Ke , Wang Lujun , Zhao Xing , Wei Jianmin 
Published: December 2021

Abstract
Seismic detection technology has been widely used in safety detection of engineering construction abroad. Although it has just started in the field of engineering in our country, its role is becoming more and more important. Through computer technology, micro-seismic detection can provide accurate data for the construction safety detection of large-scale projects, which has important practical significance for the rapid and effective identification of micro-seismic signals. Based on this, the purpose of this article is to study the feature extraction and classification of microseismic signals based on neural games. This article first summarizes the development status of microseismic monitoring technology. Using traditional convolutional neural networks for analysis, a multi-scale feature fusion network is proposed on the basis of convolutional neural networks and big data, the multi-scale feature fusion network is used to research and analyze microseismic feature extraction and classification. This article systematically explains The principle of microseismic signal acquisition and the construction of multi-scale feature fusion network. And use big data, comparative analysis method, observation method and other research methods to study the theme of this article. Experimental research shows that the db7 wavelet base has little effect on the Megatron signal.
Automatic Electromechanical Control System Based on PLC Technology
Authors: Xi Yan , Xing Qin 
Published: December 2021

Abstract
With the continuous progress of science and technology, China is transforming into the field of industrial automation, striving to contribute to the liberation of labor force and the realization of assembly line industrial automation. The operation of the traditional automatic electromechanical control system(AECS) still needs a lot of manual operation, which is difficult to realize the development of all automation of electromechanical control. The new AECS proposed at present is to realize the automation, intelligent and remote control of electromechanical control system, and truly take the control system as the center for electromechanical control production.Therefore, this paper puts forward the design and application of AECS based on PLC technology. Through research, this paper expounds the AECS based on PLC technology and its application. PLC technology can realize automation and integrated control in system control, compact structure, and can accommodate the conversion of many digital signals to realize its control function of the system, study the software design of AECS, mainly design the input interface and output interface. In order to understand the application and performance of PLC technology in automatic electromechanical system, this paper compares and analyzes the fuzzy PID control error of PLC technology and the performance of AECS based on PLC technology with traditional AECS. The experimental results show that in the comparative analysis of simulation experiments between the performance of AECS based on PLC technology and traditional AECS, the proportion coefficient of traditional AECS is 1.63, the integral time constant is -1.06, and the differential time constant is 0.29, while the proportion coefficient of AECS based on PLC technology is 0.56, the integral time constant is 0.37 and the differential time constant is 1.18. The deviation of AECS based on PLC technology is smaller than that of traditional automatic electromechanical control, and the static error is also smaller, but its response speed is faster and its performance is better.
Short-term Load Forecasting System for Power System Based on Big Data
Authors: Donghui Yang 
Published: December 2021

Abstract
Short-term load forecasting of power system is an important task of power distribution system. Accurate short-term load forecasting provides the best configuration for grid power generation and distribution, maximizing energy saving and ensuring stable operation. This paper aims to study the design of short-term load forecasting system of power system based on big data. On the basis of analyzing power system load forecasting algorithms, classification of load forecasting, characteristics of load forecasting and system design principles, each module of the system is designed in detail, and finally tested the performance of the system. The test results show that the system has no adverse reactions in the use of a large number of users and repeated operation for a long time. In the case of large throughput, the system has a satisfactory response time and relatively reliable system stability.
Dutomatic Detection Technology of Intelligent Meter Based On Machine Vision
Authors: Zhang Zhilong , Yang Lin , Su Hong , Wang Weiguang , Jiang Tao 
Published: December 2021

Abstract
In view of the low detection rate of LCD appearance quality of smart meters in the current low contrast environment, this study puts forward the research of intelligent meters automation based on machine vision, and puts forward corresponding solutions and strategies according to this problem. Firstly, the image of the LCD area of the smart meter is extracted. On this basis, the image of the LCD screen of the ammeter is enhanced by the method of wavelet transform. Then, the LCD area of the smart meter is accurately divided. Then the morphological gradient is used to reconstruct the character information, and finally realize the automatic detection of intelligent electricity. The experimental results show that the method proposed in this paper has certain feasibility and effectiveness, improves the accuracy of appearance detection of smart meter, and has certain practical significance in power industry.