bluuebunny/crossref_metadata_2025_split huggingface dataset:
Growth, mortality, and reproduction of the oblique-banded snapper (
Authors: Schemmel Eva , Nichols Ryan , Cruz Eric , Boyer Jane F. F. , Camacho Frank A. 
Published: December 2021

Deep-water snapper fisheries in the Mariana Archipelago are important commercial, recreational and subsistence fisheries. Pristipomoides zonatus, one of the top four deep-water snapper species harvested in Guam, lacked life-history information. To fill this gap, a comprehensive life-history assessment for P. zonatus, which included age, growth, mortality and reproduction, was conducted in Guam. The size range of P. zonatus sampled for life history was from 11.5 cm to 40.4 cm (fork length), with ages ranging from 0.5 to 30 years. Von Bertalanffy growth model-combined sex parameters were L∞ = 36.91 cm and K = 0.29. Males obtained a larger average size and a larger asymptotic size (+3.03 cm) than did females. Pristipomoides zonatus matures at a small size and age (L50 ≤ 24.0 cm and A50 ≤ 2.1 years) relative to their maximum size (40.4 cm) and age (30 years). Additionally, P. zonatus has a long spawning season and a short spawning interval, suggesting high reproductive output. Our results expand knowledge on Pristipomoides life history (fast early growth, moderately long-lived, high productivity), providing the necessary information for the management of P. zonatus in Guam.
Receptive academic vocabulary knowledge and extramural English involvement – is there a correlation?
Authors: Warnby Marcus 
Published: December 2021

Abstract
Extramural English (EE) exposure has been shown to correlate with general vocabulary knowledge. It remains uncertain, however, how academic vocabulary knowledge correlates with EE and can be explained by EE factors and demographic factors. Therefore, an academic vocabulary test, a background questionnaire, and a survey on current EE involvement were administered to 817 Swedish upper-secondary students in university-preparatory study programmes. A linear model revealed little explanation from demographic factors (age, gender, number of first languages, length of English instruction, and parental educational level) whereas EE factors (reading, listening & viewing without textual support, viewing with Swedish subtitles) accounted for 26% of the variation. Since extensive EE involvement may support the incidental learning of academic lexis, the paper suggests pre-tertiary instructional principles being guided by extramural as well as intramural incidental learning opportunities.
On the dialogic frames of mirative enunciations
Authors: García Negroni María Marta , Libenson Manuel 
Published: December 2021

Abstract
In this paper we will describe the meanings of surprise associated to different uses of the discourse marker
mirá in Argentinian Spanish. Our aim is to contrast the subjective stances of surprise emerging in response to the
different dialogic frames prompting mirative enunciations with mirá. From the Dialogic Approach to Argumentation and
Polyphony, we intend to show how these stances of surprise can be explained as dialogically “caused” by the argumentative representation of:
(a) a sudden discovery that brings out something new, (b) a sudden discovery related to something that contradicts a previous belief or
assumption and (c) a sudden discovery of something that exceeds its ordinary magnitude or degree.
Variational approach to the Schrödinger equation with a delta-function potential
Authors: Fernández Francisco M 
Published: December 2021

Abstract
We obtain accurate eigenvalues of the one-dimensional Schrödinger equation with a Hamiltonian of the form H

g
= H + gδ(x), where δ(x) is the Dirac delta function. We show that the well known Rayleigh–Ritz variational method is a suitable approach provided that the basis set takes into account the effect of the Dirac delta on the wavefunction. Present analysis may be suitable for an introductory course on quantum mechanics to illustrate the application of the Rayleigh–Ritz variational method to a problem where the boundary conditions play a relevant role and have to be introduced carefully into the trial function. Besides, the examples are suitable for motivating the students to resort to any computer-algebra software in order to calculate the required integrals and solve the secular equations.
Conforming and nonconforming finite element methods for biharmonic inverse source problem
Authors: Nair M Thamban , Shylaja Devika 
Published: December 2021

Abstract
This paper deals with the numerical approximation of the biharmonic inverse source problem in an abstract setting in which the measurement data is finite-dimensional. This unified framework in particular covers the conforming and nonconforming finite element methods (FEMs). The inverse problem is analysed through the forward problem. Error estimate for the forward solution is derived in an abstract set-up that applies to conforming and Morley nonconforming FEMs. Since the inverse problem is ill-posed, Tikhonov regularization is considered to obtain a stable approximate solution. Error estimate is established for the regularized solution for different regularization schemes. Numerical results that confirm the theoretical results are also presented.
Easy-cone state in spin-torque diode under combined action of magnetostatics and perpendicular anisotropy
Authors: Buzdakov A G , Skirdkov P N , Zvezdin K A 
Published: December 2021

Abstract
Spin-torque diodes (STDs) with interfacial perpendicular magnetic anisotropy (IPMA) in the free layer (FL) demonstrate outstanding microwave signal rectification performances. Large sensitivity values in such systems are usually associated with an easy-cone (EC) magnetic state, when the magnetization in the FL is tilted from the normal to the plane of the film. Here, we theoretically investigate the phase diagram for the EC state in an infinite FL of the magnetic tunnel junction (MTJ) considering both IPMA (of the first and of the second order) and magnetostatic interaction. We show that the increase of the magnetostatic field leads to the EC state phase expansion. For elliptical MTJ nanopillars we investigate the influence of the orientation of the nanopillar ellipticity on the obtained phase diagrams. And finally, we consider the dynamic properties and rectification efficiency of the STD under microwave current injection. Our results clarify the role of magnetostatic interaction for microwave rectification with the IPMA-based STDs and suggest approaches to the EC state effective rectification phase extension through the parameters optimization.
Broadband excitation of spin wave using microstrip line antennas for integrated magnonic devices
Authors: Mori Kanta , Goto Taichi , Watanabe Toshiaki , Koguchi Takumi , Nakamura Yuichi , Lim Pang Boey , Ustinov Alexey B , Inoue Mitsuteru 
Published: December 2021

Abstract
Strong- and broadband-spin wave (SW) excitation/detection structures are useful for magnonic devices. In particular, such structures are essential for observing magnonic bandgaps of magnonic crystals (MCs). Therefore, this study proposes a manufacturable broadband-SW excitation/detection antenna structure suitable for evaluating MCs. The antenna structure comprises a microstrip line fabricated on a yttrium iron garnet on a metal-covered silicon substrate. Calculations were performed using a three-dimensional finite integration technique and dispersion curves of SWs. The proposed structure exhibited high performance because of the significantly short distance between the signal line and ground plane. The generated bandwidth was ∼1.69 GHz for the 8.9 μm-wavelength SW at a frequency of 4 GHz. This work proposed an appropriate antenna structure for observing magnonic bandgaps, showing high potential for the development of MCs in integrated SW devices.
Observation of giant exchange bias effect in Ni–Mn–Ti all-d-metal Heusler alloy
Authors: Samanta Saheli , Ghosh Subrata , Mandal Kalyan 
Published: December 2021

Abstract
We report a giant exchange bias (EB) field of about 3.68 kOe during field cooled process in all-d-metal Ni40(FeCo)4Mn36Ti20 Heusler alloy. The study of magnetic memory effect and isothermal magnetic relaxation processes suggest that the giant EB field arises due to the possible coexistence of antiferromagnetic (AFM) and ferromagnetic (FM) phase exchange interaction in the studied system at temperatures below 35 K. Furthermore, the temperature and cooling field dependence of EB effect are analyzed which are related to the change in unidirectional anisotropy at FM/AFM interface. The study of a well-established training effect confirms the intrinsic nature of the observed EB behavior. This result will open up a new way toward the development of EB materials considering all-d-metal Heusler alloy systems.
Making high-quality quantum microwave devices with van der Waals superconductors
Authors: Antony Abhinandan , Gustafsson Martin V , Rajendran Anjaly , Benyamini Avishai , Ribeill Guilhem , Ohki Thomas A , Hone James , Fong Kin Chung 
Published: December 2021

Abstract
Ultra low-loss microwave materials are crucial for enhancing quantum coherence and scalability of superconducting qubits. Van der Waals (vdW) heterostructure is an attractive platform for quantum devices due to the single-crystal structure of the constituent two-dimensional (2D) layered materials and the lack of dangling bonds at their atomically sharp interfaces. However, new fabrication and characterization techniques are required to determine whether these structures can achieve low loss in the microwave regime. Here we report the fabrication of superconducting microwave resonators using NbSe2 that achieve a quality factor Q > 105. This value sets an upper bound that corresponds to a resistance of

⩽
192

μ
Ω

when considering the additional loss introduced by integrating NbSe2 into a standard transmon circuit. This work demonstrates the compatibility of 2D layered materials with high-quality microwave quantum devices.
Two-step Brillouin zone sampling for efficient computation of electron dynamics in solids
Authors: Sato Shunsuke A 
Published: December 2021

Abstract
We develop a numerical Brillouin-zone integration scheme for real-time propagation of electronic systems with time-dependent density functional theory. This scheme is based on the decomposition of a large simulation into a set of small independent simulations. The performance of the decomposition scheme is examined in both linear and nonlinear regimes by computing the linear optical properties of bulk silicon and high-order harmonic generation. The decomposition of a large simulation into a set of independent simulations can improve the efficiency of parallel computation by reducing communication and synchronization overhead and enhancing the portability of simulations across a relatively small cluster machine.
Modifying Jahn–Teller distortion by epitaxial stress in LaMnO3 films for tunning electron localization
Authors: Chen Xin , Wang Baohua , Ge Tongxin , Wei Haoming , Cao Bingqiang 
Published: December 2021

Abstract
The effect of epitaxial stress on Jahn–Teller (JT) distortion in epitaxial LaMnO3 (LMO) films has been investigated. Both 2θ–ω scans and reciprocal space maps (RSMs) indicate that LMO samples are subjected to compressive stress. Obvious Laue oscillations can be detected in 2θ–ω scans, indicating the high quality of samples. RSMs of symmetry peak (001) and asymmetry peak (−103) imply different epitaxial stress for LMO films deposited on different substrates. Raman spectra measurements reveal that the degree of JT distortion can be well tuned via the epitaxial stress which may further influence on the electron localization in the films. This study might benefit to understanding the correlation between crystalline structure and electrical transport properties of LMO films and related LMO-based superlattices.
Minimum settings calibration method for low-cost tri-axial IMU and magnetometer
Authors: Chao Cui , Zhao Jiankang , Zhu Jianbin , Bessaad Nassim 
Published: December 2021

Abstract
This manuscript presents a minimum settings calibration method for low-cost tri-axial inertial measurement units (IMUs) and magnetometers. At first, we analyze the major defect of the traditional calibration methods for tri-axial accelerometers and magnetometers. To fix that problem, we utilize the ellipsoid model to calibrate the tri-axial accelerometer and magnetometer preliminarily, then complete the calibration work with at least two reference angular positions, and prove that two reference angular positions are minimum requirements in the calibration progress. Next, the tri-axial gyroscope is calibrated based on the nonlinear cost function with the aid of the pre-calibrated accelerometer. The simulation and real-world experiment results show that the proposed method is practical and effective, suggesting that this technique is a viable candidate for the applications that require IMUs and magnetometers.
The strong interfacial coupling effect of Nafion between LaFeO3/electrolyte for efficient photoelectrochemical water reduction
Authors: Ding Xinran , Chen Tong , He Yanfang , Zhu Jianfei , Yang Ying , Chen Jie , Nasori Nasori , Liu Yuan , Chen Mingming , Cao Dawei 
Published: December 2021

Abstract
Insufficient reduction capability and scanty active substance limit the application of LaFeO3 (LFO) in the field of photoelectrochemical (PEC) water splitting. This work demonstrates a judicious combination of LFO/Nafion composite to improve the PEC performance by a unique dip-coating method on the FTO. The photocurrent density of the LFO electrode coated with two layers Nafion increased to −23.9 μA cm−2 at 0.47 V versus RHE, which is 4.1 times that of the pristine LFO. Based on the experimental data and theoretical analysis, the improvement of the PEC properties is attributed to the construction of organic/inorganic units, which would enable strong electronic coupling and favor interfacial charge transfer, resulting in a 30 mV downward shift of its flat band potential. Thus, the conduction band gets closer to the proton reduction potential of H+ to H2 after decoration with Nafion, resulting in a stronger photogenerated electron reduction ability. Our study provides insights that organic materials modify semiconductor photoelectrodes for accelerating charge kinetics.
Optimization of hydrogen-ion storage performance of tungsten trioxide nanowires by niobium doping
Authors: Wang Liushun , Li Dong , Zhou Yulan , Fu Shaohua , Peng Yuehua , Yin Yanling , Wang Weike , Zhou Weichang , Tang Dongsheng 
Published: December 2021

Abstract
The transport and storage of ions within solid state structures is a fundamental limitation for fabricate more advanced electrochemical energy storage, memristor, and electrochromic devices. Crystallographic shear structure can be induced in the tungsten bronze structures composed of corner-sharing WO6 octahedra by the addition of edge-sharing NbO6 octahedra, which might provide more storage sites and more convenient transport channels for external ions such as hydrogen ions and alkali metal ions. Here, we show that Nb2O5·15WO3 nanowires (Nb/W = 0.008) with long length-diameter ratio, smooth surface, and uniform diameter have been successfully synthesized by a simple hydrothermal method. The Nb2O5·15WO3 nanowires do exhibit more advantages over h-WO3 nanowires in electrochemical hydrogen ion storage such as smaller polarization, larger capacity (71 mAh g−1, at 10C, 1C = 100 mA g−1), better cycle performance (remain at 99% of the initial capacity after 200 cycles at 100C) and faster H+ ions diffusion kinetics. It might be the crystallographic shear structure induced by Nb doping that does result in the marked improvement in the hydrogen-ion storage performance of WO3. Therefore, complex niobium tungsten oxide nanowires might offer great promise for the next generation of electrochemical energy and information storage devices.
Interparticle gap geometry effects on chiroptical properties of plasmonic nanoparticle assemblies
Authors: Li Feng , Chandrasekar Skandan , Ahmed Aftab , Klinkova Anna 
Published: December 2021

Abstract
Chiral linear assemblies of plasmonic nanoparticles with chiral optical activity often show low asymmetry factors. Systematic understanding of the structure-property relationship in these systems must be improved to facilitate rational design of their chiroptical response. Here we study the effect of large area interparticle gaps in chiral linear nanoparticle assemblies on their chiroptical properties using a tetrahelix structure formed by a linear face-to-face assembly of nanoscale Au tetrahedra. Using finite-difference time-domain and finite element methods, we performed in-depth evaluation of the extinction spectra and electric field distribution in the tetrahelix structure and its dependence on various geometric parameters. The reported structure supports various plasmonic modes, one of which shows a strong incident light handedness selectivity that is associated with large face-to-face junctions. This works highlights the importance of gap engineering in chiral plasmonic assemblies to achieve g-factors greater than 1 and produce structures with a handedness-selective optical response.
Carbon nanotubes as electronic mediators combined with Bi2MoO6 and g-C3N4 to form Z-scheme heterojunctions to enhance visible light photocatalysis
Authors: Wu Hao , Meng Fanming , Liu Xingbing , Yu Bo 
Published: December 2021

Abstract
In this paper, Z-scheme Bi2MoO6/CNTs/g-C3N4 composite photocatalysts were prepared through a simple hydrothermal method. The analysis was performed by XRD, FT-IR, SEM, EDS, TEM, HRTEM, XPS, BET, UV–Vis diffuse reflectance and PL spectrums. Various analyses show that CNTs not only act as excellent charge transfer bridges, but also enable a formation of the Z-scheme of charge transfer mechanism between Bi2MoO6 and g-C3N4. This process not only effectively isolates electrons and holes, but also prolongs electron–hole pair lifetimes, resulting in a substantial improvement in the photocatalytic performance of the composite photocatalyst. Best photocatalytic degradation performance was shown by Bi2MoO6/CNTs/g-C3N4 composite photocatalyst under simulated sunlight, while the composite photocatalyst still maintained extremely high degradation performance in cycling tests.
Gradient coil and radiofrequency induced heating of orthopaedic implants in MRI: influencing factors
Authors: Wooldridge J , Arduino A , Zilberti L , Zanovello U , Chiampi M , Clementi V , Bottauscio O 
Published: December 2021

Abstract
Patients with implanted orthopaedic devices represent a growing number of subjects undergoing magnetic resonance imaging (MRI) scans each year. MRI safety labelling is required for all implants under the EU Medical Device Regulations to ensure regulatory compliance, with each device assessed through standardised testing procedures. In this paper, we employ parametric studies to assess a range of clinically relevant factors that cause tissue heating, performing simulations with both radiofrequency (RF) and gradient coil (GC) switching fields, the latter of which is often overlooked in the literature. A series of ‘worst-case’ scenarios for both types of excitation field is discussed. In the case of GC fields, large volume implants and large plate areas with the field orientated perpendicular to the plane cause the highest heating levels, along with sequences with high rates of field switching. Implant heating from RF fields is driven primarily from the ‘antenna effect’, with thin, linear implants of resonant length resulting in the highest temperature rises. In this work, we show that simplifications may be made to the field sequence and in some cases the device geometry without significantly compromising the accuracy of the simulation results, enabling the possibility for generic estimates of the implant heating for orthopaedic device manufacturers and opportunities to simplify the safety compliance process.
Impact of image pre-processing methods on computed tomography radiomics features in chronic obstructive pulmonary disease
Authors: Au Ryan C , Tan Wan C , Bourbeau Jean , Hogg James C , Kirby Miranda 
Published: December 2021

Abstract
Computed tomography (CT) imaging texture-based radiomics analysis can be used to assess chronic obstructive pulmonary disease (COPD). However, different image pre-processing methods are commonly used, and how these different methods impact radiomics features and lung disease assessment, is unknown. The purpose of this study was to develop an image pre-processing pipeline to investigate how various pre-processing combinations impact radiomics features and their use for COPD assessment. Spirometry and CT images were obtained from the multi-centered Canadian Cohort of Obstructive Lung Disease study. Participants were divided based on assessment site and were further dichotomized as No COPD or COPD within their participant groups. An image pre-processing pipeline was developed, calculating 32 grey level co-occurrence matrix radiomics features. The pipeline included lung segmentation, airway segmentation or no segmentation, image resampling or no resampling, and either no pre-processing, binning, edgmentation, or thresholding pre-processing techniques. A three-way analysis of variance was used for method comparison. A nested 10-fold cross validation using logistic regression and multiple linear regression models were constructed to classify COPD and assess correlation with lung function, respectively. Logistic regression performance was evaluated using the area under the receiver operating characteristic curve (AUC). A total of 1210 participants (Sites 1–8: No COPD: n = 447, COPD: n = 413; and Site 9: No COPD: n = 155, COPD: n = 195) were evaluated. Between the two participant groups, at least 16/32 features were different between airway segmentation/no segmentation (P ≤ 0.04), at least 29/32 features were different between no resampling/resampling (P ≤ 0.04), and 32/32 features were different between the pre-processing techniques (P < 0.0001). Features generated using the resampling/edgmentation and resampling/thresholding pre-processing combinations, regardless of airway segmentation, performed the best in COPD classification (AUC ≥ 0.718), and explained the most variance with lung function (R
2 ≥ 0.353). Therefore, the image pre-processing methods completed prior to CT radiomics feature extraction significantly impacted extracted features and their ability to assess COPD.
Generalized deep iterative reconstruction for sparse-view CT imaging
Authors: Su Ting , Cui Zhuoxu , Yang Jiecheng , Zhang Yunxin , Liu Jian , Zhu Jiongtao , Gao Xiang , Fang Shibo , Zheng Hairong , Ge Yongshuai , Liang Dong 
Published: December 2021

Abstract
Sparse-view CT is a promising approach for reducing the x-ray radiation dose in clinical CT imaging. However, the CT images reconstructed from the conventional filtered backprojection algorithm suffer from severe streaking artifacts. Iterative reconstruction algorithms have been widely adopted to mitigate these streaking artifacts, but they may prolong the CT imaging time due to the intense data-specific computations. Recently, a model-driven deep learning CT image reconstruction method, which unrolls the iterative optimization procedures into a deep neural network, has shown exciting prospects for improving image quality and shortening the reconstruction time. In this work, we explore a generalized unrolling scheme for such an iterative model to further enhance its performance on sparse-view CT imaging. By using it, the iteration parameters, regularizer term, data-fidelity term and even the mathematical operations are all assumed to be learned and optimized via network training. Results from the numerical and experimental sparse-view CT imaging demonstrate that the newly proposed network with the maximum generalization provides the best reconstruction performance.