bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wide binaries in planetary nebulae withGaiaDR2
Authors: González-Santamaría I. , Manteiga M. , Manchado A. , Gómez-Muñoz M. A. , Ulla A. , Dafonte C. 
Published: November 2020

Context.TheGaiaData Release 2 (DR2) was used to select a sample of 211 central stars of planetary nebulae (CSPNe) with good-quality astrometric measurements, which we refer to as Golden Astrometry Planetary Nebulae (GAPN).Gaiaastrometric and photometric measurements allowed us to derive accurate distances and radii and to calculate luminosities with the addition of self-consistent literature values. Such information was used to plot the position of these stars in a Hertzsprung-Russel diagram and to study their evolutionary status in comparison with the evolutionary tracks of CSPNe.Aims.The extremely precise measurement of parallaxes and proper motions inGaiaDR2 has allowed us to search for wide binary companions in a region close to each of the central stars in the GAPN sample. We are interested in establishing the presence of binary companions at large separations which could allow to contribute additional information on the influence of binarity on the formation and evolution of planetary nebulae. We aim to study the evolutive properties of the binary pairs to check the consistency of spectral types and masses in order to better constrain the ages and evolutionary stage of the CSPNe.Methods.We limited our search to a region around 20 000 AU of each CSPN to minimise accidental detections. We only considered stars with reasonably good parallax and proper motions data, that is, with errors below 30% in DR2. We determined that the hypothetical binary pairs should show a statistically significant agreement for the three astrometric quantities, that is, parallax and both components of the proper motions.Results.We found eight wide binary systems among our GAPN sample, including one in a triple system. We compiled the astrometric and photometric measurements of these binary systems and discussed them in relation to previously published searches for binaries in PNe. By analysing the position in the HR diagram of the companion stars usingGaiaphotometry, we are able to estimate their temperatures, luminosities, masses and, for one star, the evolutionary age. The derived quantities yield a consistent scenario when compared with the corresponding values as obtained for the central stars using stellar evolutionary models in the postAGB phase.
Iodine-Mediated Facile One-Pot Access to N-Aryl-2-benzoxazolamines
Authors: Tanimori Shinji , Nariki Haruna , Miyamura Takuya , Matsui Daiki , Sonoda Motohiro 
Published: November 2020

AbstractFacile, iodine-mediated access to N-aryl-2-benzoxazolamines has been achieved in a one-pot manner under mild reaction conditions. Reaction of 2-aminophenols and aryl isothiocyanates afforded N-aryl-2-benzoxazolamines in the presence of molecular iodine and pyridine in tetrahydrofuran at room temperature in moderate to excellent yields.
Science communication as a preventative tool in the COVID19 pandemic
Authors: Matta Gagan 
Published: November 2020

AbstractHumans have witnessed epidemics and pandemics periodically throughout history. Often, such infectious outbreaks have resulted in entire civilisations struggling against possible extinction. Despite recent clinical advancements and technological developments, issues of neglected sustainability and lax health hygiene practices, among others, have provided a context for the emergence of the COVID19 pandemic. Against such a backdrop, scientific communication using diversified tools could play a significant role in efforts towards preparedness and control, as well as the initiation of immediate remedial measures in the fight against epidemics and pandemics. These tools could help to increase understanding of the scientific solutions to minimise the outbreaks of infectious diseases, thereby strengthening societal immunity. This paper considers the history of epidemics/pandemics to draw attention to their occurrence, effects and potential impacts on human societies. In addition, it defines the major factors underpinning the various infectious outbreaks over the last three decades. Constructive preparation and preventative stages for authorities, scientists and researchers to check and diminish the impact of epidemics and pandemics during and post-outbreak are suggested while focusing on the need for science communication in the healthcare system. The paper also reviews recent empirical studies and WHO guidelines. Communication through appropriate communicators may help cut through the noise, share facts and boost confidence in science and governance. The impact of science communication on the interplay between government–expert–public or society could help promote positive behavioural change as well as overcome linguistic barriers.
Cross-linguistic influence of L2 on L1 in late Chinese-English bilinguals
Authors: Liu Ying , Qi Ruying , Di Biase Bruno 
Published: November 2020

AbstractCross-linguistic influence studies usually investigate how the bilingual’s first language (L1) influences the acquisition and use of their second language (L2) within the L2 context. This study, by contrast, investigates how the bilingual’s L2 may influence their L1 within the L1 environment, specifically whether the L2 affects L1 performance in an L1 environment in Chinese (L1)-English (L2) late bilinguals, in the domain of subject realisation. Typologically, Chinese allows pronominal subjects to be optionally null under certain discourse-pragmatic conditions whereas English requires obligatory pronominal subjects under most circumstances. To examine possible L2 effects, 15 Chinese-English bilinguals (Experimental) and 15 Chinese monolinguals (Control) participated in Chinese narrative tasks. Results show that bilingual participants produce significantly lower percentages of null subjects than the control group, indicating that bilinguals prefer overt subjects over null subjects in their L1 Chinese utterances under the influence of L2 English syntactic patterns.
Reply to the Comment on ‘Improving series convergence: the simple pendulum and beyond’
Authors: Duki Solomon F , Doerr T P , Yu Yi-Kuo 
Published: November 2020

Abstract
We correct an error pointed out by a reader in an example included in a previous article about a method for improving series convergence. After the correction, the conclusion of the previous article, that the method reduces the number of terms needed to achieve a desired accuracy, remains true. We clarify that when the evaluation of an integral requires a series expansion, we measure the speed of convergence by the inverse of the number of terms required to achieve a certain accuracy. In most cases, fewer terms will mean less computational expense. We provide an additional example to emphasize the generality of the method in the previous article.
Tikhonov regularization for polynomial approximation problems in Gauss quadrature points
Authors: An Congpei , Wu Hao-Ning 
Published: November 2020

Abstract
This paper is concerned with the introduction of Tikhonov regularization into least squares approximation scheme on [−1, 1] by orthonormal polynomials, in order to handle noisy data. This scheme includes interpolation and hyperinterpolation as special cases. With Gauss quadrature points employed as nodes, coefficients of the approximation polynomial with respect to given basis are derived in an entry-wise closed form. Under interpolatory conditions, the solution to the regularized approximation problem is rewritten in forms of two kinds of barycentric interpolation formulae, by introducing only a multiplicative correction factor into both classical barycentric formulae. An L
2 error bound and a uniform error bound are derived, providing similar information that Tikhonov regularization is able to reduce the operator norm (Lebesgue constant) and the error term related to the level of noise, both by multiplying a correction factor which is less than one. Numerical examples show the benefits of Tikhonov regularization when data is noisy or data size is relatively small.
Two-dimensional correlation analysis for x-ray photoelectron spectroscopy
Authors: Li S , Driver T , Al Haddad A , Champenois E G , Agåker M , Alexander O , Barillot T , Bostedt C , Garratt D , Kjellsson L , Lutman A A , Rubensson J-E , Sathe C , Marinelli A , Marangos J P , Cryan J P 
Published: November 2020

Abstract
X-ray photoelectron spectroscopy (XPS) measures the binding energy of core-level electrons, which are well-localised to specific atomic sites in a molecular system, providing valuable information on the local chemical environment. The technique relies on measuring the photoelectron spectrum upon x-ray photoionisation, and the resolution is often limited by the bandwidth of the ionising x-ray pulse. This is particularly problematic for time-resolved XPS, where the desired time resolution enforces a fundamental lower limit on the bandwidth of the x-ray source. In this work, we report a novel correlation analysis which exploits the correlation between the x-ray and photoelectron spectra to improve the resolution of XPS measurements. We show that with this correlation-based spectral-domain ghost imaging method we can achieve sub-bandwidth resolution in XPS measurements. This analysis method enables XPS for sources with large bandwidth or spectral jitter, previously considered unfeasible for XPS measurements.
Label-free characterization of ischemic cerebral injury using intravital two-photon excitation fluorescence lifetime imaging microscopy
Authors: Li Hui , Yin Yixuan , Xiang Feng , Yu Jia , Wu Ting , Liu Lina , Liao Jiuling , Zheng Wei 
Published: November 2020

Abstract
Characterizing an ischemic brain injury at its early stage is critical to biological research and the clinical diagnosis of cerebral ischemia-related diseases. However, approaches with intravital, label-free, and real-time characterization capabilities are scarce. Two-photon excitation fluorescence lifetime imaging microscopy (FLIM) can detect variations in energy metabolism based on the autofluorescence of reduced nicotinamide adenine dinucleotide (NADH). Using this unique feature, we proposed a novel approach for cerebral ischemia characterization. From investigating cell and animal models, the cerebral NADH fluorescence lifetime was observed to be sensitive to metabolic changes caused by ischemia and consistent with ischemic time. A comparison with standard blood flow imaging and neuronal injury assessment further suggests that, the two-photon FLIM, using NADH as an indicator, can characterize degrees of cerebral ischemia and related injuries, particularly at the early stage. These findings demonstrate that NADH FLIM is promising for providing intravital, label-free, and real-time assessment of cerebral ischemia and ischemic brain injury that will be significant to the study and diagnosis of related diseases.
Atmospheric dielectric barrier discharge containing helium–air mixtures: the effect of dry air impurities on the spatial discharge behavior
Authors: Wang Qiao , Dai Dong , Ning Wenjun , Zhang Yuhui 
Published: November 2020

Abstract
Air is a typical and arguably unavoidable impurity in atmospheric pressure dielectric barrier discharges (DBDs). The introduction of air may bring rich plasma chemical effects on DBDs and lead to a significant change of discharge characteristics. Here we implement a two-dimensional fluid model to study the spatial discharge behavior in a helium–dry-air DBD under the air impurity level (N
air) of 10–200 ppm. The simulation results reveal that under low impurity content (less than 30 ppm), the gas gap cannot be ignited due to the feeble Penning ionization during the breakdown. However, with an elevation in the impurity level, the progressively enhanced Penning ionization makes the DBD experience three different spatial modes, namely uniform, columnar, and complementary quasi-uniform modes. Of particular note is that the improvement of discharge uniformity observed after the second mode transition is not directly controlled by seed electron level—a previously reported qualitative indicator of the discharge uniformity concluded by helium DBDs with only nitrogen traces. And the main contributor to this phenomenon is the complementary spatial structure appearing in successive two discharges induced by the further reinforced Penning ionization with extra oxygen doped. The result suggests the necessity of considering oxygen in helium–air DBDs when the impurity effect of air is concerned.
Influence of triaxial deformation on wobbling motion in even–even nuclei
Authors: Qi B , Zhang H , Wang S Y , Chen Q B 
Published: November 2020

Abstract
The influence of triaxial deformation γ on the purely collective form of wobbling motion in even–even nuclei is discussed based on the triaxial rotor model. It is found that the harmonic approximation is realized well when the value γ = 30° is adopted for the properties of energy spectra and electric quadrupole transition probabilities, while this approximation gets worse when γ gradually deviates from 30°. Recent data from a Coulomb excitation experiment, namely

3

1

+

and

2

2

+

for 110Ru, are studied and might be suggested as the bandhead of the wobbling bands. In addition, two types of angular momentum geometries for wobbling motion, stemming from different γ values, are exhibited by the azimuthal plots.
The effect of iron doping on the structural, optical, surface morphological, and temperature-dependent magnetic properties of ZnO nanoparticles
Authors: Anbuselvan D , Nilavazhagan S , Santhanam A , Chidhambaram N , Kanimozhi G , Ahamad Tansir , Alshehri Saad M 
Published: November 2020

Abstract
This study reports the role of temperature on the magnetic properties of the Fe-doped (0, 1, 3, and 5 wt%) ZnO nanoparticles (NPs) synthesized using the facile co-precipitation procedure. Powder x-ray diffraction analysis revealed the crystallinity deterioration of the ZnO matrix on trivalent cationic doping and the shifting of peak position due to the mismatch in ionic radius between the Zn2+ and Fe3+. A clear redshift in the bandgap of the iron-doped ZnO samples is observed from the UV–vis diffused reflectance spectroscopic studies. The existence of lattice defects including the zinc interstitials, zinc vacancies, and oxygen vacancies are confirmed by the room temperature photoluminescence analysis. Scanning electron microscopic investigations showed the synthesized NPs possesses agglomerated spherical morphology. The role of temperature on the magnetization of the iron-doped ZnO nanoparticles has been examined at 300 and 100 K. A 3-fold enhancement of magnetization value perceived for the 5% iron-doped ZnO nanoparticles at 100 K compared to the magnetization value of such sample at 300 K.
The spin-polarized edge states of blue phosphorene nanoribbons induced by electric field and electron doping
Authors: Zhang Shidong , Li Yun , Wang Yun-Peng , Li Jialin , Li Mingjun , Long Mengqiu 
Published: November 2020

Abstract
Edge states of various two-dimensional materials such as graphene are intrinsically spin-polarized. In other materials, electric field and charge doping are required for introducing magnetism to their edges. In this work, by using first-principles calculations, we studied the effects of transverse electric field on the edge states of the armchair blue phosphorene nanoribbon (ABPNR), and found that a transverse electric field drives the edge electronic state occupied and at the same time spin-polarized. We also doped electrons to the ABPNR and found that these additional electrons occupy and spin-polarize the electronic states of both edges of the nanoribbon.
Powder diffraction computed tomography: a combined synchrotron and neutron study
Authors: Kochetov Vladislav , Mühlbauer Martin J , Schökel Alexander , Fischer Torben , Müller Timo , Hofmann Michael , Staron Peter , Lienert Ulrich , Petry Winfried , Senyshyn Anatoliy 
Published: November 2020

Abstract
Diffraction and imaging using x-rays and neutrons are widely utilized in different fields of engineering, biology, chemistry and/or materials science. The additional information gained from the diffraction signal by x-ray diffraction and computed tomography (XRD-CT) can give this method a distinct advantage in materials science applications compared to classical tomography. Its active development over the last decade revealed structural details in a non-destructive way with unprecedented sensitivity. In the current contribution an attempt to adopt the well-established XRD-CT technique for neutron diffraction computed tomography (ND-CT) is reported. A specially designed ‘phantom’, an object displaying adaptable contrast sufficient for both XRD-CT and ND-CT, was used for method validation. The feasibility of ND-CT is demonstrated, and it is also shown that the ND-CT technique is capable to provide a non-destructive view into the interior of the ‘phantom’ delivering structural information consistent with a reference XRD-CT experiment.
Studies on magnetocaloric effect of Tb2Ni0.90Si2.94 compound
Authors: Pakhira Santanu , Kundu Mily , Ranganathan R , Mazumdar Chandan 
Published: November 2020

Abstract
A comparative study has been carried out on the magnetocaloric properties of as-cast and annealed Tb2Ni0.90Si2.94 intermetallic compound. While the as-cast material exhibits ferromagnetic cluster-glass behaviour below 9.9 K coexisting with antiferromagnetic (AFM) interaction, the annealed system shows AFM ordering below 13.5 K and spin freezing occurs below 4 K. The compound exhibits moderate magnetocaloric performance with maximum isothermal entropy changes (−ΔS
M) 8.8 and 10.9 J kg−1 K−1, relative cooling power (RCP) 306 and 365 J kg−1, along with adiabatic temperature change (ΔT
ad) 5.5 and 8.15 K for 70 kOe magnetic field change in as-cast and annealed forms, respectively. The estimated magnetic entropy change is found to be larger for annealed sample in comparison to that of as-cast analogue. However, the full width at half maxima (FWHM) of −ΔS
M(T) behaviour is larger in as-cast compound due to the presence of inherent structural disorder which reduces with thermal annealing. A positive isothermal entropy change (−ΔS
M) and adiabatic temperature change (ΔT
ad) is observed for the as-cast compound in the measured field and temperature region. In contrast, the annealed system exhibits inverse magnetocaloric effect in the low field and temperature region where AFM interactions dominate. Magnetocaloric effect (MCE) is used as a tool to establish a subtle correlation between the observed magnetocaloric effect and the reported magnetic properties of the system.
Adaptive quaternion particle filter using generalized likelihood ratio test for aircraft attitude estimation in the presence of anomalous measurement
Authors: Zhou Zhaihe , Zhang Qianyun , Liu Qiqi , Zeng Qingxi , Tian Xiangrui 
Published: November 2020

Abstract
An adaptive quaternion particle filter (QPF) based on the generalized likelihood ratio test (GLRT) is proposed for aircraft attitude estimation in the presence of an anomalous measurement. The framework of the QPF is employed to guarantee quaternion normalization. To cope with an anomalous measurement when interference occurs, the proposed algorithm uses the GLRT to detect an anomalous measurement and determine the interference source. An adaptation scheme is used to tune the measurement noise covariance matrix after the interference source has been determined so that the algorithm can remain robust against interference. Numerical simulations are carried out to evaluate the performance of the proposed algorithm and compare it with the QPF algorithm. The results show that the proposed algorithm outperforms the standard one in attitude estimation accuracy under anomalous measurement conditions.
LeXtender: a software package for advanced MOKE acquisition and analysis
Authors: Gräfe Joachim , Groß Felix , Ilse Sven E , Boltje Daan B , Muralidhar Shreyas , Goering Eberhard J 
Published: November 2020

Abstract
Contemporary scanning laser Kerr magnetometers are very efficient measurement devices that achieve very good signal to noise ratios and spatial resolution for magnetization measurements. When going beyond simple hysteresis loop measurements, large amounts of data can be acquired quickly and, thus, control software and automated processing becomes necessary to go beyond these simple measurements. Here, we present an open source software that realizes first-order reversal curves and magnetic property mapping based on scanning laser Kerr magnetometry. The modular software is easily extensible and provides a convenient user interface to make these more complex measurements accessible to a broader user base.
Weighted kurtosis-based VMD and improved frequency-weighted energy operator low-speed bearing-fault diagnosis
Authors: Song Xuewei , Wang Hongfeng , Chen Peng 
Published: November 2020

Abstract
The diagnosis of low-speed bearing faults remains a challenging issue because background noise is often present and the impulse signal is prone to being masked. In this paper, we propose a low-speed bearing-fault diagnosis method using weighted-kurtosis variational-mode decomposition and an improved frequency-weighted energy operator (IFWEO). First, the raw signal is decomposed using VMD, and WK is employed to select the optimum intrinsic mode function to reconstruct the signal. The reconstructed signal carries abundant fault information. Second, a third-order cumulant method is introduced to improve the FWEO, and this method is able to strengthen the signal impulse and enhance the fault features. The IFWEO is able to effectively reduce the effects of noise. Third, the effectiveness of the proposed method is validated by simulation and engineering experiments, and the results show that the method presented here is able to accurately diagnose low-speed bearing faults.
PIV measurements using refraction at a solid–fluid interface
Authors: Cabut Damien , Michard Marc , Simoëns Serge , Todoroff Violaine , Hermange Corentin , Le-Chenadec Yohan 
Published: November 2020

Abstract
Laser light sheet refraction at the fluid flow–window interface is proposed to perform fluorescent particle image velocimetry (PIV) measurements, in particular for cases in which optical access limits the possibilities of illuminating a flow with a planar collimated light sheet. The study of laser sheet propagation in the present measurement method is led by ray tracing to quantify the illumination intensity. To describe the limitations of this developed PIV version (refracted PIV (R-PIV)), we proposed a cross-correlation model (CCM) for analyzing image pairs that is an extension of the models used in the cases of µ-PIV or planar PIV (P-PIV) techniques. This CCM accounts for the R-PIV optical constraints of (1) in-depth and longitudinal inhomogeneities of the light sheet refraction at the location of the object plane or (2) integration in depth of the fluorescence from seeding particles. This R-PIV and the P-PIV techniques are further compared in the case of an academic pipe flow for which the analytic solution is known. Our extended CCM function is finally applied, given the theoretical flow velocity, the flow illumination and the seeding flow parameters, to analyze error levels in determining the real flow velocity field.