bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-stoichiometric amorphous magnesium-iron silicates in circumstellar dust shells
Authors: Gail Hans-Peter , Tamanai Akemi , Pucci Annemarie , Dohmen Ralf 
Published: November 2020

Aims.We study the growth of dust in oxygen-rich stellar outflows in order to find out to which extent dust growth models can quantitatively reconcile with the quantities and nature of dust as derived from observations of the infrared emission from circumstellar dust shells.Methods.We use a set of nine well-observed massive supergiants with optically thin dust shells as testbeds because of the relatively simple properties of the outflows from massive supergiants, contrary to the case of AGB stars. Models of the infrared emission from their circumstellar dust shells are compared to their observed infrared spectra to derive the essential parameters that rule dust formation in the extended envelope of these stars. The results are compared with a model for silicate dust condensation.Results.For all objects, the infrared emission in the studied wavelength range, between 6 and 25μm, can be reproduced rather well by a mixture of non-stoichiometric iron-bearing silicates, alumina, and metallic iron dust particles. For three objects (μCep, RW Cyg, and RS Per), the observed spectra can be sufficiently well reproduced by a stationary and (essentially) spherically symmetric outflow in the instantaneous condensation approximation. For these objects, the temperature at the onset of massive silicate dust growth is of the order of 920 K and the corresponding outflow velocity of the order of the sound velocity. This condensation temperature is only somewhat below the vapourisation temperature of the silicate dust and suggests that the silicate dust grows on the corundum dust grains that formed well inside of the silicate dust shell at a much higher temperature. The low expansion velocity at the inner edge of the silicate dust shell further suggests that, for these supergiants, the region inside the silicate dust shell has an only subsonic average expansion velocity, though a high degree of supersonic turbulence is indicated by the widths of spectral lines.Conclusions.Our results suggest that for the two major problems of dust formation in stellar outflows, that is (i) formation of seed nuclei and (ii) their growth to macroscopic dust grains, we are gradually coming close to a quantitative understanding of the second item.
AMICO galaxy clusters in KiDS-DR3: Evolution of the luminosity function betweenz= 0.1 andz= 0.8
Authors: Puddu E. , Radovich M. , Sereno M. , Bardelli S. , Maturi M. , Moscardini L. , Bellagamba F. , Giocoli C. , Marulli F. , Roncarelli M. 
Published: November 2020

Aims.By means of ther-band luminosity function (LF) of galaxies in a sample of about 4000 clusters detected by the cluster finder AMICO in the KiDS-DR3 area of about 400 deg2, we studied the evolution with richness and redshift of the passive evolving (red), star-forming (blue), and total galaxy populations. This analysis was performed for clusters in the redshift range [0.1, 0.8] and in the mass range [1013 M⊙, 1015 M⊙].Methods.To compute LFs, we binned the luminosity distribution in magnitude and statistically subtracted the background. Then, we divided the cluster sample in bins of both redshift and richness/mass. We stacked LF counts in each 2D bin for the total, red, and blue galaxy populations; finally, we fitted the stacked LF with a Schechter function and studied the trend of its parameters with redshift and richness/mass.Results.We found a passive evolution withzfor the bright part of the LF for the red and total populations and no significant trends for the faint galaxies. The mass/richness dependence is clear for the density parameter Φ⋆, increasing with richness, and for the total population faint end, which is shallower in the rich clusters.
Versorgungsprobleme von Patienten mit chronischer Hepatitis C während der COVID-19-Pandemie und der Lockdown-Verordnungen
Authors: Hüppe Dietrich , Niederau Claus , Serfert Yvonne , Hartmann Heinz , Wedemeyer Heiner ,   für das DHC-R
Published: November 2020

Zusammenfassung
Einleitung Die COVID-19-Pandemie und die damit verbundenen Lockdown-Verordnungen stellen das Gesundheitswesen und die Patientenversorgung vor Herausforderungen. Um den Einfluss der COVID-19-Pandemie und der mit ihr verbundenen Einschränkungen auf die Versorgung von Patienten mit chronischer Hepatitis C zu erfassen, haben wir unter den am Deutschen Hepatitis C-Register (DHC-R) mitwirkenden Zentren eine Umfrage durchgeführt.
Methodik Alle 320 für die Dokumentation im DHC-R freigeschalteten Zentren wurden zu einer internetbasierten Umfrage eingeladen. Davon hatten 74 Zentren im Verlauf der letzten 12 Monate mindestens 5 neue Patienten dokumentiert und zumindest die Screeningvisite abgeschlossen.
Ergebnisse 64 Zentren haben an der Befragung teilgenommen. Aufgrund des Lockdowns zwischen März und Mai 2020 hatten 11 % der Zentren ihre Lebersprechstunde vorübergehend eingestellt, 58 % teilweise eingeschränkt und 32 % unverändert fortgesetzt. Mehr als die Hälfte der Terminabsagen ging von den Patienten aus. 52 % der Zentren haben neue oder zusätzliche Telefonsprechstunden und 17 % neue Videosprechstunden eingerichtet. Zwischen März und Mai 2020 wurden deutlich weniger neue Patienten antiviral behandelt als im gleichen Zeitraum 2019. Ab Juli 2020 kehrten alle Zentren zum üblichen Sprechstundenangebot zurück. Fast 80 % der befragten Zentren gaben keine wesentliche Einschränkung der Patientenversorgung an. Immerhin stellten aber 22 % der Zentren fest, dass eine Leberdekompensation erst später erkannt, und 9,4 % gaben an, dass ein hepatozelluläres Karzinom verzögert diagnostiziert wurde. Ausreichend Schutzausrüstung war bei 56 % der Zentren vorhanden. Mit den behördlichen Informationen waren 63 % der Zentren zufrieden.
Zusammenfassung Diagnostik, Therapie und Überwachung von chronischen Lebererkrankungen waren durch die COVID-19-Pandemie beeinträchtigt. Nach Einschätzung der Mehrheit der Zentren kam es jedoch mittel- und langfristig zu keiner Unterversorgung. Sorge bereitete hingegen, dass gerade die akut lebensbedrohlichen Komplikationen wie die Leberdekompensation in erheblichem Maß verspätet erkannt wurden.
Identification of a brainstem locus that inhibits tumor necrosis factor
Authors: Kressel Adam M. , Tsaava Tea , Levine Yaakov A. , Chang Eric H. , Addorisio Meghan E. , Chang Qing , Burbach Barry J. , Carnevale Daniela , Lembo Giuseppe , Zador Anthony M. , Andersson Ulf , Pavlov Valentin A. , Chavan Sangeeta S. , Tracey Kevin J. 
Published: November 2020

Significance
Electronic devices that stimulate electrical activity in the vagus nerve are being studied for clinical use in rheumatoid arthritis, inflammatory bowel disease, and other inflammatory syndromes because vagus nerve signals inhibit inflammation and cytokine production. A vagus nerve mechanism, termed the inflammatory reflex, has been widely studied, but the origin and functional neuroanatomy of vagus nerve fibers controlling inflammation were previously unknown. Here we reveal cholinergic neurons in the brainstem dorsal motor nucleus (DMN) of the vagus projecting to the celiac-superior mesenteric ganglia and transmitting cytokine-inhibiting signals to the splenic nerve. By combining optogenetics, anatomical and functional mapping, and measurement of TNF production, our data show the DMN is an important brainstem locus controlling anti-inflammatory signals in the inflammatory reflex.
A (not so) paradoxical instance of compensatory lengthening: Samothraki Greek and theoretical implications
Authors: Topintzi Nina 
Published: November 2020

AbstractSamothraki Greek onset-/r/ deletion with subsequent compensatory lengthening (CL) of the following vowel poses two major problems for current phonological theory. First, such a pattern should be impossible because in moraic theory onsets never bear weight, thus — under the assumption that CL is all about mora conservation (cf. Hayes 1989 and several others) — their deletion should not induce lengthening. Second, CL is an instance of opacity, and opacity is the single biggest conundrum that Optimality Theory faces. This paper addresses both issues and suggests that CL should not be treated as mora conservation, but instead as position preservation through the presence of a mora. This move sidesteps the previous problems as no reference to the input moraicity of segments is required and consequently, onsets, like codas, can cause CL. Moreover, concerns about OT’s parallelism, single input-output mapping, and Richness of the Base are taken into account ensuring that the resulting analysis observes all of them. The proposed solution neatly accounts for a number of CL cases and is successfully implemented in Samothraki Greek, an elaborate analysis of which is offered to capture the full range of facts.
Two-dimensional plasmon induced grating in a double V-type quantum system
Authors: Javanmard Mehdi 
Published: November 2020

Abstract
We theoretically study a two-dimensional electromagnetically induced phase grating in a four-level quantum system located near plasmonic metamaterials consisting of a periodic two-dimensional array of metal-coated dielectric nanospheres. The four-level quantum system interacts with a weak-probe laser field and a strong coherent coupling field with a standing-wave pattern. In the presence of plasmonic metamaterials the quantum system becomes sensitive to the relative phase between applied light. Therefore, the linear absorption and Kerr nonlinearity of the medium become phase dependent. Here, due to the standing-wave pattern of coupling light, an absorptive grating or phase grating can be formed in the quantum system. In our proposed model, we show that the diffraction efficiencies of the grating are related to the relative phase between applied fields, when the quantum system is located at different distances from plasmonic metamaterials.
Fuzzy Modeling Control and Simulation of a Class of Complex Dynamical Systems
Authors: Wang Disheng 
Published: November 2020

Abstract
In this paper, an equivalent fuzzy financial dynamic system model is established by using T-S fuzzy modeling method. According to Lyapunov stability theory, a fuzzy feedback controller is designed to realize chaos control. The results of theoretical proof and numerical simulation show that the fuzzy control scheme is effective. The fuzzy controller can simulate human’s experience knowledge and is simple and easy to implement. It can also be used to control general nonlinear chaotic systems.
A Comprehensive Prediction Model of Bead Geometry in Wire and Arc Additive Manufacturing
Authors: Wang Changxing , Bai Hao , Ren Chuanqi , Fang Xuewei , Lu Bingheng 
Published: November 2020

Abstract
To explore the effect of process parameters on the bead geometry in cold metal transfer wire arc additive manufacturing(CMT-WAAW), the response surface optimization method was adopted in this paper. According to previous experiments, some process parameters were selected as independent variables. They are wire feed speed(WFS), traveling speed(TS) and substrate temperature(ST). Some geometric parameters of the welding bead were selected as dependent variables. They are the track width (w), layer height (h), penetration (p), accumulated area (A2), penetration area (A1), aspect ratio (B) and dilution ratio (D). In the given parameter interval, the prediction model behaves good. The relative error of bead size between actual value and predicted value are all within 5%. And five sets of verification experiment were carried out to prove that the accuracy of the developed model.
Research on Mining Scheme Design Based on 3D Real Scene Model
Authors: Tang Feifei , Wang Kun , Leng Zhendong , Ruan Zhimin , Shen Cheng , Wang Yunyun 
Published: November 2020

Abstract
Reasonable mining scheme is of great significance for safety and efficiency of mining activity and environmental protection. In view of the limitation that the traditional mine surveying and mapping method can’t provide accurate terrain data for the mining scheme design, moreover, the common mining design software can’t be combined with the 3D real scene mining situation for scheme analysis and evaluation, this paper proposed a design method based on 3D real scene model by combining the UAV Remote sensing technology and 3D geographic information technology. This method can make the mining design agree with the demand of mining efficiency and environmental protection, improving the rationality of mining design.
Differential Pricing Models on a Remanufacturing Supply Chain Considering Product Quality Upgrade under Carbon Trading Mechanism
Authors: Wu Guangqiang , Yuan Kaifu 
Published: November 2020

Abstract
To study the influence of product quality upgrade on pricing decisions, a remanufacturing supply chain with a manufacturer and a retailer is investigated. Based on the carbon trading mechanism, differential pricing decision models for the remanufacturing supply chain without and with product quality upgrade are developed and solved by the backward induction through the mathematics and engineering calculation software maple18. Through the comparative analysis, we get the following results: (1) New product quality upgrade is beneficial to raise the sales price and expand market demand of new products and the profits of supply chain members and system, but it will increase total carbon emissions. (2) To reduce total carbon emission, the government should encourage enterprises to invest in emission reduction and guide consumers to buy remanufactured products.
N-body Simulation of a Young Open Cluster
Authors: Li Zhongmu 
Published: November 2020

Abstract
The evolutionary process of young clusters remains unclear. In order to investigate the detailed dynamical evolution of star clusters, this paper simulates a young open cluster to tens of million years, via a reliable N-body simulation code. The dynamical interactions among stars, and stellar evolution of both single and bianry stars have been taken into account. The position, velocity, effective temperature, luminosity, radius and mass of each star are finally calculated at different ages. It is shown that the size of simulated cluster increases with time. The size evolution of cluster is found to depend on the initial velocities of stars. Therefore, to determine the initial states of clusters is of key importance in the simulation of star clusters. The paralell computing technique is also tested by this simulation. The result shows that the computation speed is enhanced by six times when taking 8-core paralell computation instead of 1-core computation.
Numerical Simulation of Typhoon Storm Surge in Wenzhou Coastal Areas
Authors: Tian Chunhe 
Published: November 2020

Abstract
Focusing on the numerical simulation of storm surge in the coastal waters of Wenzhou, this paper uses the atmospheric Mesoscale Model5 (MM5) model to provide the wind field of typhoons, and the advanced circulation (ADCIRC) model for oceanic, coastal, and estuarine waters to simulate the process of storm surges, which adopts the finite element method with a dry-wet grid. The simulated results agree well with the observed data from marine observation stations (Longwan, Aojiang, Ruian), indicating that the simulation of storm surge is accurate. The good agreement between the simulated and observed results of four typhoons (Nos. 200216, 200414, 200509, 200608) shows that the combination of the two numerical models has the capacity to calculate storm surge elevations along the coast of Wenzhou. Using this method to simulate the 23 typhoon storm surge processes of the Wenzhou sea area of the last 23 years, we find that the majority of storm surge is between 0.5 to 2.5 m, and about one-fifth have an extreme value of more than 2 m. The maximum storm surge value recorded in Wenzhou coastal waters is 3.02 m, which occurred during Typhoon Wipha (No. 200713) at 03:00 on September 19, 2007 when landed. Water decreasing processes occurred 10 h after the main water increasing process with the maximum negative storm surge of -0.5 m. This paper can be used as a reference for storm surge forecasting, coastal engineering design and damage minimization in the future.
A Summary of Aspect-based Sentiment Analysis
Authors: Fan Shouxiang , Yao Junping , Sun Yangyang , Zhan Ying 
Published: November 2020

AbstractAspect-based sentiment analysis is a subclass of sentiment analysis tasks, focusing on judging the sentiment tendency of entities or attributes, and has received extensive attention due to fine-grained analysis results. The current research mostly summarizes the research from a single point of aspect extraction or sentiment classification, and lacks of research on the methods and problems in aspect-based sentiment analysis from the overall perspective. By using the method of literature investigation, an in-depth overview of the typical methods and solutions is given in the field of aspect-based sentiment analysis from three aspects: aspect information extraction, aspect information sentiment classification and aspect-based sentiment analysis joint modeling. Then, we discuss some of the most challenging problems existing in the field in terms of model adaptability, error transmission, knowledge and reasoning, and proposes future research opportunities in terms of strengthening knowledge representation, multi-task learning and integrating knowledge and reasoning from the overall perspective of practical application.
Infinitely Many Solutions to a Class of Fractional Elliptic System with Critical Sobolev Exponents in RN
Authors: Li Jing 
Published: November 2020

AbstractThe paper focuses on a class of fractional elliptic system with critical Sobolev exponents, where there is no compact embedding under proper assumptions on potential functions. The proof of the existence results mainly relies on concentration-compactness principle of fractional Sobolev space and genus theory.
Numerical General Solution for Identifying the Position of Point Heat Source for Steady Inverse Heat Conduction Problems
Authors: Liu Hong , Gao Juntao , Chen Haojie 
Published: November 2020

Abstract
This paper constructs an explicit formula for numerical general solution with position parameters of heat source as variables based on the heat conduction finite element numerical solution in order to convert inverse heat conduction problem with position identification of heat source to multi-variables limit problem. And it establishes linear equations with variables of position parameters of heat source by derivation, and gets the position parameters of heat source. The paper gives out the detailed procedure and formula for numerical general solution method, which includes describing position of point heat source, calculating numerical solutions for homogeneous solution and particular solution of the governing equation for heat conduction problem, constructing numerical general solution, solving the linear equations and getting the position parameters. The paper gives an example of identifying position parameters of heat source for inverse heat conduction problem.
Numerical Solution of Fractional Integro-differential Equations with Weakly Singular Kernels via Bernstein Polynomial
Authors: Lei Li , Zeng Guang , Wang Binbin , Ning Desheng 
Published: November 2020

Abstract
This paper is concerned with obtaining approximate numerical solutions of a class of fractional Volterra integro-differential equations with weakly singular kernels which using Bernstein Polynomials as basis in collocation methods(BPCM). The approximate solution is obtained by expanding the functions in terms of Bernstein Polynomial, whose unknown coefficients are determined by solving final system of linear equations. The convergence analysis of the proposed method are taken into consideration and Numerical examples are included to confirm the efficiency and accuracy of the method.
Global Attractivity for Three Species Lotka-Volterra Systems with Delays
Authors: Halik Azhar , Omar Ahmatjan 
Published: November 2020

Abstract
This paper studies a type of non-autonomous three-species Lotka-Volterra(L-V) predator-prey-competitive systems with time delays is discussed. Several sufficient conditions on the global attractivity of the system are derived by employing the Lyapunov function method.
Feature Detection in Hierarchical Structure Based on Tensor Factorization
Authors: Li Zhe , Wang Dong , Zhang Ke 
Published: November 2020

Abstract
Feature is an important connection point of hierarchical structure. Large-scale network feature detection becomes an important way to analyse hierarchical structure. In this paper, we use tensor decomposition based large-scale network feature detection to study hidden relationships among different users and infer its potential feature structure. Data set experiment is used to verify the effectiveness of the algorithm from two aspects of accuracy and efficiency. At the same time, the two algorithms of tensor decomposition and Fast Newman and SLPA are compared to find that the hierarchical structure feature detection algorithm based on tensor decomposition is more efficient and more accurate.
Application of Extension Analytic Hierarchy Process in Spanning Tree
Authors: Wang Nana , Liu Wei 
Published: November 2020

Abstract
In view of the problem how to choose the minimum spanning tree.firstly, a minimum spanning tree was found by using broken circle. Secondly connected graph was reduced to obtain a reduced graph. Using broken circle method get all the minimum spanning tree, finally, it uses the extension analytic hierarchy process (EAHP), build the hierarchy, for all of the minimum spanning tree of outlier, aggregation coefficient, average path length, network sorting efficiency, optimal spanning tree, extension analytic hierarchy process provides the theoretical foundation for the screening of minimum spanning tree.
Research on Attributes Reduction Method of Intrusion Detection Data Based on Rough Set Theory
Authors: Fu Xueliang , Zhang Yaodan , Li Honghui , Hu Yumeng 
Published: November 2020

Abstract
With the huge amount of network connection data, high data dimensions and complex attack types, it is difficult for traditional data analysis techniques to obtain satisfactory results in the Network Security Intrusion Detection System. This paper proposed a RSDB method based on the Rough Set Theory and the Data Deblock Thought, which can help us to reduce the data conditional attributes and remix the data. The method considers two factors: the relationship between conditional attributes and decision attribute, and the data integrity. Through the experiment, this method can solve these difficult above problems effetely, while ensuring the original data is not distorted. Through many experiments and their experimental results, RSDB can not only make the classification accuracy over than 90%, but also its average detection time is in the millisecond level.
The Non-linear Tracking of IMM- PHD Filter for Rader-Infrared Sensor Data Fusion
Authors: Zhang Anqing , Zhang Wanshun , Qi Haiming 
Published: November 2020

Abstract
In order to improve the accuracy of multi-target tracking, a feasible dada fusion system is proposed for radar and infrared sensor used together, to overcome the defects both small detection range and no distance measurement for infrared sensor, and to avoid the problem of large error in measurement information of single sensor. Rader and infrared dada fusion can achieve complementary information. An optimal weighted fusion method for measurement of radar and infrared sensors is derived, and an interactive multi-model PHD nonlinear filtering algorithm is used to improve the accuracy of target tracking. The computer simulation results show that the integrated system and multi-sensor measurement fusion method can improve the accuracy of target state estimation. It is of great practical significance to solve the problem of target tracking estimation of heterogeneous multi-sensor.