bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optical Coherence Tomography Angiography Evaluation of Retinal Microvasculature Before and After Carotid Angioplasty and Stenting
Authors: Lee Chia-Wei , Cheng Hui-Chen , Chang Feng-Chi , Wang An-Guor 
Published: October 2019

AbstractThe aim of the study was to evaluate the influence of carotid angioplasty and stenting (CAS) on retinal microvasculature using optical coherence tomography angiography (OCTA) in patients with severe carotid stenosis. 20 patients with severe carotid stenosis underwent comprehensive ophthalmic examinations and OCTA before and one month after CAS. Automated algorithms were used to quantify vessel density in the macular superficial vascular complex (SVC), deep vascular complex (DVC), and radial peripapillary capillary (RPC) around the optic disc. Eyes on the operated side constituted the ipsilateral eye group, and the other eye constituted the fellow eye group. In the ipsilateral eye group, the vessel density in the DVC increased significantly after stent implantation (P = 0.010), but the vessel density change in the SVC was not statistically different (P = 0.999). In the fellow eye group, the vessel density in the SVC (P = 0.028) and DVC (P = 0.034) were significantly increased after stent implantation. The vessel density in the RPC did not significantly change in the ipsilateral (P = 0.363) or fellow (P = 0.878) eye groups. This study shows that unilateral CAS for severe carotid stenosis increases macular vessel densities in both eyes.
Endogenous intronic antisense long non-coding RNA, MGAT3-AS1, and kidney transplantation
Authors: Nagarajah Subagini , Xia Shengqiang , Rasmussen Marianne , Tepel Martin 
Published: October 2019

Abstractβ-1,4-mannosylglycoprotein 4-β-N-acetylglucosaminyltransferase (MGAT3) is a key molecule for the innate immune system. We tested the hypothesis that intronic antisense long non-coding RNA, MGAT3-AS1, can predict delayed allograft function after kidney transplantation. We prospectively assessed kidney function and MGAT3-AS1 in 129 incident deceased donor kidney transplant recipients before and after transplantation. MGAT3-AS1 levels were measured in mononuclear cells using qRT-PCR. Delayed graft function was defined by at least one dialysis session within 7 days of transplantation. Delayed graft function occurred in 22 out of 129 transplant recipients (17%). Median MGAT3-AS1 after transplantation was significantly lower in patients with delayed graft function compared to patients with immediate graft function (6.5 × 10−6, IQR 3.0 × 10−6 to 8.4 × 10−6; vs. 8.3 × 10−6, IQR 5.0 × 10−6 to 12.8 × 10−6; p < 0.05). The median preoperative MGAT3-AS1 was significantly lower in kidney recipients with delayed graft function (5.1 × 10−6, IQR, 2.4 × 10−6 to 6.8 × 10−6) compared to recipients with immediate graft function (8.9 × 10−6, IQR, 6.8 × 10−6 to 13.4 × 10−6; p < 0.05). Receiver-operator characteristics showed that preoperative MGAT3-AS1 predicted delayed graft function (area under curve, 0.83; 95% CI, 0.65 to 1.00; p < 0.01). We observed a positive predictive value of 0.57, and a negative predictive value of 0.95. Long non-coding RNA, MGAT3-AS1, indicates short-term outcome in patients with deceased donor kidney transplantation.
Radial-velocity jitter of stars as a function of observational timescale and stellar age
Authors: Brems Stefan S. , Kürster Martin , Trifonov Trifon , Reffert Sabine , Quirrenbach Andreas 
Published: October 2019

Context.Stars show various amounts of radial-velocity (RV) jitter due to varying stellar activity levels. The typical amount of RV jitter as a function of stellar age and observational timescale has not yet been systematically quantified, although it is often larger than the instrumental precision of modern high-resolution spectrographs used for Doppler planet detection and characterization.Aims.We aim to empirically determine the intrinsic stellar RV variation for mostly G and K dwarf stars on different timescales and for different stellar ages independently of stellar models. We also focus on young stars (≲30 Myr), where the RV variation is known to be large.Methods.We use archival FEROS and HARPS RV data of stars which were observed at least 30 times spread over at least two years. We then apply the pooled variance (PV) technique to these data sets to identify the periods and amplitudes of underlying, quasiperiodic signals. We show that the PV is a powerful tool to identify quasiperiodic signals in highly irregularly sampled data sets.Results.We derive activity-lag functions for 20 putative single stars, where lag is the timescale on which the stellar jitter is measured. Since the ages of all stars are known, we also use this to formulate an activity–age–lag relation which can be used to predict the expected RV jitter of a star given its age and the timescale to be probed. The maximum RV jitter on timescales of decades decreases from over 500 m s−1for 5 Myr-old stars to 2.3 m s−1for stars with ages of around 5 Gyr. The decrease in RV jitter when considering a timescale of only 1 d instead of 1 yr is smaller by roughly a factor of 4 for stars with an age of about 5 Myr, and a factor of 1.5 for stars with an age of 5 Gyr. The rate at which the RV jitter increases with lag strongly depends on stellar age and reaches 99% of the maximum RV jitter over a timescale of a few days for stars that are a few million years old, up to presumably decades or longer for stars with an age of a few gigayears.
Testing magnetohydrostatic extrapolation with radiative MHD simulation of a solar flare
Authors: Zhu X. , Wiegelmann T. 
Published: October 2019

Context. On the sun, the magnetic field vector is measured routinely solely in the photosphere. By using these photospheric measurements as a boundary condition, we developed magnetohydrostatic (MHS) extrapolation to model the solar atmosphere. The model makes assumptions about the relative importance of magnetic and non-magnetic forces. While the solar corona is force-free, this is not the case with regard to the photosphere and chromosphere.
Aims. The model has previously been tested with an exact equilibria. Here we present a more challenging and more realistic test of our model with the radiative magnetohydrodynamic simulation of a solar flare.
Methods. By using the optimization method, the MHS model computes the magnetic field, plasma pressure and density self-consistently. The nonlinear force-free field (NLFFF) and gravity-stratified atmosphere along the field line are assumed as the initial conditions for optimization.
Results. Compared with the NLFFF, the MHS model provides an improved magnetic field not only in magnitude and direction, but also in magnetic connectivity. In addition, the MHS model is capable of recovering the main structure of plasma in the photosphere and chromosphere.
Predicting the global far-infrared SED of galaxies via machine learning techniques
Authors: Dobbels W. , Baes M. , Viaene S. , Bianchi S. , Davies J. I. , Casasola V. , Clark C. J. R. , Fritz J. , Galametz M. , Galliano F. , Mosenkov A. , Nersesian A. , Trčka A. 
Published: October 2019

Context. Dust plays an important role in shaping a galaxy’s spectral energy distribution (SED). It absorbs ultraviolet (UV) to near-infrared radiation and re-emits this energy in the far-infrared (FIR). The FIR is essential to understand dust in galaxies. However, deep FIR observations require a space mission, none of which are still active today.
Aims. We aim to infer the FIR emission across six Herschel bands, along with dust luminosity, mass, and effective temperature, based on the available UV to mid-infrared (MIR) observations. We also want to estimate the uncertainties of these predictions, compare our method to energy balance SED fitting, and determine possible limitations of the model.
Methods. We propose a machine learning framework to predict the FIR fluxes from 14 UV–MIR broadband fluxes. We used a low redshift sample by combining DustPedia and H-ATLAS, and extracted Bayesian flux posteriors through SED fitting. We trained shallow neural networks to predict the far-infrared fluxes, uncertainties, and dust properties. We evaluated them on a test set using a root mean square error (RMSE) in log-space.
Results. Our results (RMSE = 0.19 dex) significantly outperform UV–MIR energy balance SED fitting (RMSE = 0.38 dex), and are inherently unbiased. We can identify when the predictions are off, for example when the input has large uncertainties on WISE 22 μm, or when the input does not resemble the training set.
Conclusions. The galaxies for which we have UV–FIR observations can be used as a blueprint for galaxies that lack FIR data. This results in a “virtual FIR telescope”, which can be applied to large optical-MIR galaxy samples. This helps bridge the gap until the next FIR mission.
An innovative laboratory characterization: hydrogen interaction with X60 pipeline steel
Authors: Valentini Renzo , Gabetta Giovanna , Bacchi Linda , Corsinovi Serena , Villa Michele 
Published: October 2019

Corrosion is evaluated to be one of the most important cause for pipeline failures. Given the serious consequences of these events in terms of human safety, environmental preservation and cost saving, it is evident that on-field corrosion control could have a fundamental role. The aim of the present work was to meet this need with preliminary feasibility study to develop a test procedure, characterized at the same time by non-invasive approach and scientific rigor, to evaluate the possibility of on-line monitoring and assess the integrity of a pipeline during its operation. The experimental campaign was performed on a HSLA Steel X60, characterized by a ferritic microstructure with fine grains and ultimate tensile strength equal to 520MPa. The hydrogen interaction with steel was investigated by means of an advanced equipment based on an innovative high sensitivity hydrogen gas sensor. The following types of investigations were carried out [1]:
- Various permeation tests were performed with reference to EN ISO 17081:2014 increasing test temperature from 10°C to 60°C.
- Afterwards a series of Hydrogen Induced Cracking nucleation tests was performed with reference to ASTM STP 692:0.
- Finally, permeation concept was applied in an innovative way to Hydrogen Induced Cracking nucleation phenomena.
Recent Advances in the Synthesis of Acridines and Phenazines
Authors: Xiao Yan , Hu Weiming , Sun Song , Yu Jin-Tao , Cheng Jiang 
Published: October 2019

Acridines and phenazines are common motifs in bioactive compounds and natural products. Many excellent works on the synthesis of these skeletons starting from diaryliodonium salts, benzaldehydes, anthranils, azobenzenes, and nitrosobenzenes have been reported. In this overview, we highlight several recent elegant works on the synthesis of acridines and phenazines.1	Introduction2	Synthesis of Acridines3	Synthesis of Phenazines4	Conclusion
Benefitting from immigration: The value of immigrants’ country knowledge for firm internationalization
Authors: Kunczer Vera , Lindner Thomas , Puck Jonas 
Published: October 2019

AbstractMigrants are able to provide firms with knowledge about their country of origin. This can become a valuable source of knowledge for firms in the process of internationalization. Relating to a Knowledge-Based-View perspective, this paper explains how the resource commitment of firms to foreign countries is contingent on immigration from those countries: Immigrants’ country knowledge reduces uncertainty and makes the governance of foreign operations more efficient. Moreover, this paper connects the relevance of knowledge for firm internationalization to institutional characteristics in immigrants’ home and host countries, both of which policymakers can shape. We test predictions on more than 13,000 observations over a 14-year period (2003–2016). The paper identifies economically significant contingencies of a positive effect of immigration, which are robust to changes in model specification, measurement, and sampling. The results indicate how immigration can shape firms’ investments abroad and have implications for developing policy as well as international business theory.
Existence of multiple positive solutions for p-Laplacian fractional q-difference equations with integral boundary conditions
Authors: Yan Yawen , Hou Chengmin 
Published: October 2019

Abstract
This article studies a boundary value problem of fractional q-difference equations with integral boundary conditions. Some new existence results are obtained by using Avery-Peterson fixed point theorem. An example is also presented to illustrate the effectiveness of the main result.
Study on risk assessment modeling and solution method of fresh agricultural products cold chain logistics
Authors: Zhang Ying , Ge Xueyang 
Published: October 2019

Abstract
Under the market economy environment, consumers’ demands for quick delivery and quality of fresh agricultural products are increasing. At present, the circulation is an important link in the whole industrial chain from production to sales, but there are still problems such as delayed distribution, high logistics cost and serious product loss, which reduce customers’ trust and satisfaction with fresh agricultural products and increase the management risk of fresh agricultural cold chain logistics. In this paper, starting from the systematic management, we maximize customer satisfaction as the important indexes for evaluation of logistics risk, we analyse the distribution of a variety of cost and research with time window of fresh agricultural products cold chain logistics distribution problem, a optimization of fresh agricultural products distribution mathematical model is established, we use genetic algorithm and show the feasibility and effectiveness of the solution through simulation examples.
A novel algorithm for optimal waveform design based on dual mutual information for radar systems
Authors: Xin Fengming , Wang Bin , Xu Zhiyong , Chen Xu 
Published: October 2019

Abstract
In this paper, the authors propose a waveform design algorithm based on dual mutual information criterion in clutter environment for cognitive radar. At the design stage, the authors, determine the optimal waveform according to the criterion: maximizing the mutual information between the received signal and target impulse response while minimizing the mutual information between the received signal and clutter impulse response. Then, considering the transmitted waveform energy constraint, the optimization model for transmitted waveform is established. The maximum marginal allocation algorithm is used to obtain the final optimal waveform. Finally, the algorithm is simulated and its performance is analysed by Lagrange multiplier method. The simulation results demonstrate that the algorithm is validation.
Exponential stability analysis and stabilization for discrete positive switched linear time-delay systems with ADT
Authors: Du Binbin , Hao Shuyan , Lv Chao 
Published: October 2019

Abstract
In this paper, the stability analysis and stabilization problem for discrete positive switched linear time delay system with average dwell time switching are investigated. First, by constructing an appropriate multiple linear co-positive type Lyapunov-Krasovskii functional, sufficient condition for the exponential stability are developed by using ADT approach. Then based on the result obtained a linear feedback law is established for the system to make the state exponentially stable.
Alternative models for the modified form of ridge regularized linear model in discovering Markov boundary
Authors: Yan Shu , Hu Xiaobo , Wang Rujing 
Published: October 2019

Abstract
It has been proved that the modified form of ridge regularized linear model (MRRLM) can discover a subset of Markov boundary of the target variable under some constrained conditions. However, MRRLM cannot be applied to the data sets with collinear variables due to covariance matrix is employed. To develop a suitable alternative model for MRRLM, we study the relationships of discovery performance of Markov boundary among MRRLM, ridge regression linear model (RRLM), and LASSO combining with permutation test through empirical method. In addition, we also proposed a new NVRRLM to discover Markov boundary of the target variable. The experimental results show that: (1) On the binary data sets, MRRLM has a basically similar performance with LASSO and RRLM; (2) On the continuous data sets, MRRLM has a basically similar discovery performance with LASSO but has higher discovery performance than RRLM; (3) The new NVRRLM can replace MRRLM on the data sets with collinear variables. The above experimental results demonstrate NVRRLM can effectively deal with variable collinearity problems.
The electrochemical decoration of multi-walled carbon nanotubes with nickel oxide coating
Authors: Kuz’menko A. P. , Khokhlov N. A. , Hein Kyaw Aung , Than Myo Min , Rodionov V. V. 
Published: October 2019

Abstract
In this paper, nickel coatings have been deposited on the multi-walled carbon nanotubes (MWCNT). In the first stage, MWCNT powder was ultra-wave mixed in the acid bath (H2SO4 and HNO3). The acid treating activates inert carbon surface introducing functional –OH and –COOH groups on the MWCNT surface. The mixture was diluted with distilled water and filtered for several times. The filtered sediment was dried in a plasma cleaner. The powder of such cleaned functionalized MWCNTs (fMWCNTs) was ultrasonicated with deionized water to produce stable colloid. Nickel atoms were injected into the colloid from a positive nickel electrode (with a negative graphite one). The Ni containing tubular nanostructures decorated the fMWCNTs at the specified regulated conditions (temperature, colloid concentration, electric current density). The electrochemically treated colloid was filtered and dried to a powder state (Ni-containing-fMWCNT powder). Hollow NiO nanotubes were produced by the annealing of the powder at 600°C (tubular nanostructured NiO powder). Both powders were examined by the Raman spectroscopy (RS), high-temperature X-ray diffraction (HTXRD), scanning electron microscopy (SEM), and thermal gravimetric analysis (TGA). The estimated high specific surface area of the nanostructured NiO powder is up to 97 m2/g at least and may be varied by time and the electric current of the electrochemical process.
Parameter inversion of cantilever beam based on polynomial model
Authors: Song Yang , Wei Xing , Ye Jing 
Published: October 2019

Abstract
Inverse problem is a kind of problem that “effects” are used to get the “causes”. It has broad application prospects in the field of applied mathematics and physics. The paper makes an inversion analysis based on a cantilever beam via polynomial model. An iterative formula is deduced based on Gauss-Newton method to tackle inherent parameter of cantilever beam. In the process of inversing, direct problem is solved for many times. The polynomial model is constructed and taken as a direct problem solver. The method proposed in this paper can make parameter inversion of cantilever beam with variable Young’s modulus. The result shows that the method has good stability. It can give some guidance for engineers to solve other inversion problem in engineering.
Totally asymmetric simple exclusion process with two consecutive ramps
Authors: Xiao Song , Chen Xiaoyu , Qi Lin , Liu Yanna 
Published: October 2019

Abstract
In this paper, the effect of totally asymmetric simple exclusion process (TASEP) with two consecutive ramps (in the bulk far away boundaries) has been investigated. The phase diagram changes with the off-ramp rate p and on-ramp rate q have been given. In addition, the main boundary expressions are also obtained by mean field approximation (MFA). The LD (Low Density)/LD and HD (High Density)/HD phases still vanish with p > 1/2 and q > 1/2, respectively. In particular, the MC/MC phase exists in the system with the relationship p/(1+2p) < q < p/(1-2p). Specially, when p and q satisfy p >1/2 and q > 1/2, the phase diagram is divided into four intervals with same area by the LD/MC (Maximum Current), LD/HD, MC/MC and MC/HD phases.
Effect of aluminum shield on deposition parameters of Teflon irradiated by high energy electrons
Authors: Zuo Yinghong , Wei Yuan , Zhu Jinhui , Niu Shengli 
Published: October 2019

AbstractTo study the influence of aluminum shield on deposition parameters of typical insulating medium Teflon irradiated by high energy electrons, a calculation model of aluminum shield and Teflon irradiated by high energy electrons was established. Monte Carlo method was used to simulate the effects of the energy of irradiated electrons, the thickness of aluminum shield and the electron irradiation current density on the distribution of parameters such as injection current density, charge deposition rate, radiation dose rate and radiation induced conductivity. The results show that the larger the energy of irradiated electrons, the stronger the ability of electrons to penetrate aluminum shield and Teflon. The higher the injection current density in Teflon is, the deeper the position of Bragg peak is, and the lower the height of the peak is. The thicker the aluminum shield, the shallower the peak position of charge deposition rate and electron radiation dose rate is, the smaller the absolute value of charge deposition rate peak is, and the lower the peak of radiation dose rate is.
Study on reactor residual heat removal method based on steam controllable discharge in station blackout accident
Authors: Yuan Tianhong , Cai Qi , Yu Lei 
Published: October 2019

Abstract
The design of passive residual heat removal system (PRHRS) has the problems of uncontrollable coolant cooling rate and incomplete matching between the heat removal capacity and the reactor residual heat. To solve these problems, a residual heat removal method is proposed in this paper, which is controllable release of secondary steam into the environment at the early stage of reactor shutdown when the residual heat is large. The feasibility of this method is verified by the thermohydraulic analysis code. The results show that this method can discharge the residual heat in a period of time after the reactor shutdown, and the coolant system can establish a stable natural circulation. But when the steam generator is empty, the residual heat must be removed by other ways. After that, based on the critical flow theory of nozzle, a simplified method for calculating the steam discharge power and estimating the safety-related parameters by steam pressure is proposed, which can be a reference for operators to control the cooling rate, analyze the system status and handle the accident. The conclusions can also provide references for the study and improvement of residual heat removal method.
Analysis of seasonal tourism demand to economic growth in Thailand: Bayesian approach
Authors: Intapan Chanamart , Sriboonchitta Songsak , Chaiboonsri Chukiat , Piboonrungroj Pairach 
Published: October 2019

Abstract
This study investigates the dynamic empirical link between tourism demand (tourist arrivals, tourism revenues and tourism expenditures) and economic growth in the case of Thailand using a quarterly time-series data set from 2013q1 to 2018q4. The combination of Bayesian approach and Markov Chain Monte Carlo (MCMC) simulations can be applied and employed to estimate the parameters of tourism demand and economic growth. Stationary and correlative trends of variables datasets were examined by using Bayesian ADF unit-root testing (BADF), Bayesian seasonal unit-root testing (BHEGY) and Bayesian Auto Regressive Distributed Lag (BARDL) model respectively. BADF is applied in order to probe the stationary of the time-series data set. Moreover, BHEGY is utilized in order to examine the seasonally of the time-series data set. Furthermore, BARDL technique is used and implemented in order to analyse the long-run and short-run relationship between tourism demand and economic growth. Our empirical findings provide important policy implications for further study on Thailand tourism.