bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ambiguity in discourse
Authors: Achimova Asya , Ebert-Rohleder Maren , Geiger Lorenz , Klenk Joel , Reid Michael , Vollstedt Thalia , Zirker Angelika 
Published: September 2024

Abstract
Ambiguity in language and communication has recently come
under increasing attention in a number of disciplines, such as
linguistics, literary science, psychology, theology, and law. In
this paper, we focus on ambiguity in discourse and present an online
corpus which contains rich annotations for a variety of examples of
ambiguity from different text genres and periods. The corpus
features an annotation schema that allows users to specify the
multiple attributes of an ambiguity, as well as its interaction with
related but distinct phenomena, such as vagueness and
underspecification. We discuss how this corpus might foster and
enable the interdisciplinary study of ambiguity.
Towards a practice of translanguaging subtitling for the mediatised articulation
of fangyan
Authors: Wang Dingkun , Zhang Xiaochun 
Published: September 2024

Abstract
This article addresses an underexplored intersection between subtitling and translanguaging with reference to the
representation of diverse Chinese fangyan in hip-hop music videos. Drawing on recent progress in the intersection
between translanguaging and Translation Studies, the article sketches the multilingualism of the Han ethnic majority and its
precarious existence under the governmental policy and language planning of China. Second, it contextualises the rising audibility
and visibility of local speeches and non-standard writing in cinematic, metrolingual, and digital cultures. This highlights the
social and technological conditions that enable culture creators and language users to practice novel representations of
linguistic diversity and variations in the subtitling medium. Furthermore, the case-study analyses illustrate how Chinese hip-hop
musicians assemble linguistic, multimodal, and multisemiotic resources to effect translanguaging performance across different
communicational repertoires. The conclusion outlines the practical and theoretical implications of translanguaging subtitles for
alternative media representations of linguacultural diversities in China and beyond.
Dispersive Analysis of Excited Glueball States
Authors: Li Hsiang-nan 
Published: September 2024

Abstract
Motivated by the determination for the spin-parity quantum numbers of the X(2370) meson at BESIII, we extend our dispersive analysis on hadronic ground states to excited states. The idea is to start with the dispersion relation which a correlation function obeys, and subtract the known ground-state contribution from the involved spectral density. Solving the resultant dispersion relation as an inverse problem with available operator-product-expansion inputs, we extract excited-state masses from the subtracted spectral density. This formalism is verified by means of the application to the series of ρ resonances, which establishes the ρ(770), ρ(1450) and ρ(1700) mesons one by one under the sequential subtraction procedure. Our previous study has suggested the admixture of the f
0(1370), f
0(1500) and f
0(1710) mesons (the η(1760) meson) to be the lightest scalar (pseudoscalar) glueball. The present work predicts that the f
0(2200) (X(2370)) meson is the first excited scalar (pseudoscalar) glueball.
Comment on ‘Resonant inelastic x-ray scattering from U3O8 and UN’
Authors: Miskowiec Andrew , Spano Tyler , Brubaker Z E , Niedziela J L , Abernathy D L , Hunt Rodney D , Finkeldei S 
Published: September 2024

Abstract
In a recent manuscript, Lawrence Bright et al (2023 J. Phys.: Condens. Matter
35 175501) reported the resonant inelastic x-ray scattering spectra of U3O8, as well as UN. Their goal was to identify electronic multiplets associated with a 5f
1 configuration with ground state

2

F

5
/
2

. Complete active space self-consistent field with spin–orbit coupling (CASSCF-SOC) predicted that

2

F

5
/
2

transitions should be observable at 190 and 328 meV. However, these energies were not accessible in their experiment. They suggested that the recent inelastic neutron scattering results of Miskowiec et al (2021 Phys. Rev. B 103 205101) could have been sensitive to these transitions. Here we show that transitions of this possible origin appear in that dataset near 198, 262, 362, and potentially 448 meV.
Transport of a comb-like polymer across a nanochannel subject to a pulling force
Authors: Adane Meseret , Tatek Yergou B , Tilahun Mesay 
Published: September 2024

Abstract
We investigate the dynamics of comb-like polymer translocation through a nanochannel using three-dimensional Langevin dynamics simulations based on a coarse-grained chain model. A comprehensive set of simulations are performed to examine the effects of system parameters such as the grafting density ρ of the side chains, the polymer chain length, the nanochannel dimensions, and the magnitude of the pulling force on the translocation dynamics. For a given polymer chain length, keeping the backbone length is constant while varying ρ, we have found that the dependence of the mean translocation time

⟨
τ
⟩

on ρ is non-monotonic, with a maximum translocation time for a specific ρ at which the translocation is the slowest. The simulation results also show that

⟨
τ
⟩

is not significantly affected by the channel width above a certain radius, while the comb-like polymer translocation is hindered by a narrower channel due to increased interactions between the chain monomers and the channel. In addition,

⟨
τ
⟩

increases linearly with the nanochannel length. A linear scaling relationship between the mean translocation time

⟨
τ
⟩

and the chain length N of polymer is obtained,

⟨
τ
⟩

∼
N

. Similarly, the dependence of

⟨
τ
⟩

on the backbone chain size

N

bb

has a quasi-linear dependence,

⟨
τ
⟩

∼

N

bb

. On the other hand, the translocation velocity v follows a power-law relationship with the polymer chain length N as

v
∼

N

−
1

. The mean translocation time also shows an inverse linear relationship with the magnitude of the pulling force F,

⟨
τ
⟩

∼

F

−
1

. The power-law relationships discovered in this study contribute to the fundamental understanding of the comb polymer translocation dynamics and to establishing a framework for further investigations in this field.
Robust and efficient calibration method of liquid-crystal spatial light modulator based on the linear combination strategy
Authors: Li Junxiang , Fan Chen , Du Yijun , Hu Zirui , Shu Long , Chen Huan , Zhao Hong , Zhao Zixin 
Published: September 2024

Abstract
Phase-only spatial light modulators (SLMs) play a vital role in virous fields. However, its modulation accuracy is compromised by the static aberration and the phase response nonlinearity. To enhance the modulation accuracy, this paper presents an innovative full calibration method for SLMs, effectively addressing both static aberration and nonlinear phase responses using only two shots of the camera. The main highlight of this paper is the binding of a novel linear combination strategy and a unique kinoform. This binding can eliminate phase distortion between two shots of the camera, making our method dramatically robust in correcting phase response nonlinearity. Additionally, benefiting from the accurate correction of phase response nonlinearity, the static aberration is accurately compensated by the single-shot spatial carrier phase-shifting technology. In conclusion, the proposed method’s strong robustness, precision, and efficiency position it as an ideal solution for SLM calibration.
A numerical analysis of the short open load calibration robustness for capacitance measurements in scanning microwave microscopy
Authors: Richert Damien , Deleruyelle Damien , Morán-Meza José A , Kaja Khaled , Imanaliev Almazbek , Hoffmann Johannes , Gautier Brice , Piquemal François 
Published: September 2024

Abstract
Numerous experimental parameters affect the accuracy of impedance measurements in scanning microwave microscopy (SMM). Investigating their effects on the measured values is particularly challenging. Here, we present the development of a fully-numerical finite element method-based simulation of the actual SMM measurements. We demonstrate the application of a self-calibration procedure for the simulated SMM measurements with a maximal deviation of ±0.8% relative to reference capacitances determined via an electrostatic finite element model. Furthermore, we demonstrate the possibility of assessing water meniscus-induced effects on the simulated SMM measurements. Typically, water meniscus impacts the calibration by a 0.4% relative deviation, in accordance with previously reported empiric data. Our findings are expected to promote access to a deeper understanding of nanoscale capacitance measurements in SMM.
A new combined transient electromagnetic noise reduction method of VMD-SVD-WTD based on improved dung beetle optimization algorithm with multi-strategy fusion
Authors: Song Duxi , Feng Guorui , Qi Tingye , Wang Haochen , Pan Dawei , Zhang Lifeng 
Published: September 2024

Abstract
The transient electromagnetic method (TEM) is now commonly used in the detection of coal mined-out areas, but it is susceptible to various sources of noise during field site probing, significantly impacting the accuracy of detection. Variational mode decomposition (VMD) has gained widespread adoption for eliminating noise in TEM signals. However, a single VMD may not effectively address both full-band noise and residual Gaussian white noise. To address this limitation, the singular value decomposition (SVD) and wavelet threshold denoising (WTD) are introduced correspondingly. Furthermore, this paper tackles challenges related to parameters selection in VMD and traditional optimization algorithms by proposing the integration of dung beetle optimization (DBO) enhanced with circle chaotic mapping, random walk strategy, and crisscross optimization algorithm (CRCDBO). Consequently, a new combined TEM noise reduction method, VMD-SVD-WTD based on CRCDBO is presented. Through comprehensive simulation tests and comparative analyses, the signal-to-noise ratio of this method is improved by 12.79% compared with VMD and the RMSE is 0.0011, which demonstrate the superiority and effectiveness of VMD-SVD-WTD based on CRCDBO in noise reduction. Meanwhile, this method is applied to an iron ore mine in Shanxi, which can accurately monitor the location of the mined-out area and has good application value.
Improving the coverage area and flake size of ReS2 through machine learning in APCVD
Authors: Flores Salazar Mario , Frausto-Avila Christian Mateo , de Jesús Bautista Javier A , Polumati Gowtham , Muñiz Martínez Barbara A , Sekhar Reddy K Chandra , Hernández-Vázquez Miguel Ángel , Strupiechonski Elodie , Sahatiya Parikshit , Quiroz-Juárez Mario Alan , De Luna Bugallo Andres 
Published: September 2024

Abstract
Machine learning is playing a crucial role in optimizing material synthesis, particularly in scenarios where several parameters related to growth exhibit different and significant outcomes. An example of such complexity is the growth of atomically thin semiconductors through chemical vapor deposition (CVD), where multiple parameters can influence the thermodynamics and reaction kinetics involved in the synthesis. Herein, we performed a set of orthogonal experiments, varying the key parameters such as temperature, carries gas flux and precursor position to identify the optimal conditions for maximizing covered area and the size of rhenium disulfide (ReS2) crystals. The experimental results were used to establish correlations among the three thermodynamic variables through an artificial neural network. Contour plots were then generated to visualize the impact on the coverage and flake size of the crystals. This study demonstrates the capability of machine learning to enhance the potential of CVD-growth for the integration of 2D semiconductors like ReS2 at larger scales.
The propagation of negative pulsed discharges facilitated by artificially injected gas bubble in water
Authors: Pan Teng , Lv Jiahao , Sun Ying , Zhang Yuantao , Timoshkin Igor 
Published: September 2024

Abstract
The artificial injection of bubbles into the electrode gap can effectively enhance the performance of underwater pulsed spark discharge (UPSD). It is crucial to investigate the morphology and propagation characteristics of discharges for a comprehensive understanding of bubble-stimulated UPSD. This paper presented an extensive study of negative discharges facilitated by the injected large bubble (with a diameter of 3 mm) in UPSD. The bridging effect of the bubble and the morphology and propagation of discharges were observed through the shadowgraph images captured by a high-speed camera. A numerical model was built to analyse the influence of the bubble on the initial electric field distribution between the electrodes. The characteristics of discharges were notably influenced by bubble parameters and energization conditions. Not in all cases could the bubble play the bridging effect role. The effective range of the bubble was roughly confined to a small region near the HV electrode tip. The experimental results obtained in this paper have certain guiding significance for the practical application of UPSD.
WSe2/n-GaN and WSe2/p-GaN heterojunction band alignment
Authors: Wei Wanting , Zhao Guijuan , Liu Xiacong , Lv Xiurui , Wang Xingliang , Liu Guipeng 
Published: September 2024

Abstract
In this work, we measured the band alignment of 2D/3D heterostructures of WSe2 on n-doped, p-doped, and intrinsic GaN by x-ray photoelectron spectroscopy. The WSe2/n-GaN heterojunction exhibits type-II band alignment, with measured valence band offset (VBO) and conduction band offset (CBO) values of 2.28 ± 0.15 eV and 0.96 ± 0.15 eV, respectively. On the other hand, the WSe2/p-GaN heterojunction shows type-I band alignment, with measured VBO and CBO values of 0.1 ± 0.15 eV and 1.22 ± 0.15 eV, respectively. The results show that doping has a significant effect on the arrangement of the energy bands of the heterostructure, and provides a reference for device applications based on heterojunctions.
Optimized design and performance study of internal nested structure based on Fin Ray structure
Authors: Kang Yuzhe , Zhou Maoying , Wang Ban , Liu Rong , Qin Huawei 
Published: September 2024

Abstract
As a famous type of passive soft gripper, fin ray gripper is easily adaptable to object shapes and compatible with various actuation mechanisms. Also, it has been shown that internally embedded substructures can significantly affect the adaptability and gripping performance of fin ray grippers. In the current contribution, a new design of the fin ray gripper is proposed with a smaller version for the fin ray gripper internally embedded. The kineto-static properties of the proposed fin ray gripper are analyzed computationally and experimentally. It is found that the proposed fin ray gripper shows variable stiffness properties along its length. It can adapt to different grasping situations with the choice of grasping location. Additionally, unbalanced grasping performances of the proposed fin ray gripper are explored, showing that it manages to grasp unbalanced objects with higher efficiency than conventional fin ray gripper. The current contribution provides a deeper understanding of soft passive grippers and figures out the possible role of unbalanced grasping in the real-world applications of soft grippers.
Lorentz attractor excitation-based structural damage identification using state space curvature reconstruction- enhanced transformer
Authors: Wang Xian , You Zengying , Pu Xiaoqing , Shao Nan , Xu Jiawen 
Published: September 2024

Abstract
Vibration-based structural damage identification has been widely investigated. Different from previous studies that analyze vibrational responses in time and frequency domains, a new Lorentz attractor excitation-based damage identification is becoming a novel strategy with the advantage of capturing the structure’s nonlinear dynamic effects. In this study, Lorentz attractor-based chaotic signals were employed as excitation signals for the structural damage identification of a frame structure. Nonlinear responses were recorded and damages of bolt looseness at different locations were considered. The structural damages could be revealed in the state-space plot of the responses. A state space curvature reconstruction method was introduced to enhance the key features of the nonlinear responses. A small-sample damage identification is performed using a deep learning algorithm—a transformer with an accuracy of 92.38%. The advantages of the proposed method over conventional deep learning algorithms were validated. The proposed method can be applied to health conditions identification of buildings, bridges, and trusses.
Bounded diffusing diffusivities: Brownian yet non-Gaussian diffusion
Authors: Luo Chengrong , Du Luchun , Guo Zixuan , Shi Hongda , Huang Feijie , Xiang Youlin , Guo Wei 
Published: September 2024

Abstract
Brownian yet non-Gaussian diffusion has been recently reported in a huge number of biological and soft matter systems. Meanwhile, an archetypal theoretical model called ‘diffusing diffusivities’ is proposed to interpret it. Based on this spirit of diffusing diffusivities, we extend the original diffusing diffusivities (with the unbounded exponential distribution) to the case that the diffusivity is constructed by a bounded stochastic process, i.e., corresponding diffusivities (with certain upper and lower bounds) obeying bounded power-law distribution. We demonstrate that Brownian yet non-Gaussian diffusion can be reproduced by this bounded diffusing diffusivities, via numerical simulations and analytic derivations. Specifically, the short-time distribution of displacement, as the indicator of the Brownian yet non-Gaussian diffusion, is derived analytically by means of superstatistical approach. This short-time distribution is distinct from the Laplace distribution that appears in the original model. The long-time Gaussian displacement distribution is obtained by utilizing the subordination concept. The bounded diffusing diffusivity here may be beneficial to further understanding the diffusive process of particles in complex and inhomogeneous environments. Our work enriches the diffusing diffusivity family and sheds new light on the concept of the Brownian yet non-Gaussian diffusion under stochastic process.
Enhancing efficiency of dye-sensitized solar cell using Mn or Ce doped and Co-doped ZnO photoanodes with lawsonia inermis natural dye
Authors: Kumar Aman , Kumar Suresh , Kundu Virender Singh , Hooda Kirti , Vohra Anil , Kumar Suresh , Podia Mohit , Jasrotia Rohit , Lakshmaiya Natrayan , Sillanpaa Mika 
Published: September 2024

Abstract
In the present research paper, Mn (transition metal) and Ce (rare earth metal) doped and co-doped ZnO nanoparticles were synthesized using a cost-effective sol–gel technique. As synthesized samples were characterized using x-ray diffraction and field emission scanning electron microscope to examine the structure and morphology respectively. The optical properties were examined by UV-Visible and photoluminescence spectroscopic techniques. The synthesized samples were used as photoanode for the fabrication of dye-sensitized solar cell (DSSC). The utilization of a photoanode, containing Mn and Ce doped and co-doped in ZnO, in DSSC leads to a significant enhancement in photovoltaic conversion efficiency with natural dye lawsonia inermis. Different combinations of Mn or Ce doped and co-doped ZnO nanoparticles were used for testing their effectiveness as photoanode in DSSC. It was observed that the efficiency for Mn and Ce co-doped ZnO photoanode-based DSSC was found to be 0.2118%, which is approximately a 750% increase as compared to bare ZnO photoanode based DSSC. The enhancement in the efficiency of DSSCs was due to the formation of a blocking layer by Mn ions which helps to stop the flow of electrons backward and the broadening of the spectrum region with the help of Ce ions using up/down conversion process also helps to achieve higher efficiency. This enhancement in the efficiency of DSSC may be attributed to the synergic effect of Mn and Ce.
Effect of surface state on wear performance of low alloy high strength marine steel
Authors: Wang Chaoyi , Yan Ling , Chang Xueting , An Wenrui 
Published: September 2024

Abstract
For ships sailing in polar ice regions, the marine steel not only has to be safely served at low temperatures but also may be abraded by hard sea ice. However, marine steel is inevitably affected by corrosion in seawater whose surface state and oxide type have a great influence on wear performance. To study the influence of the surface state on the wear performance of low alloy high-strength marine steel, the 460 MPa class high-strength marine steel was used as the research object to test the strength and plastic of the material. Further, γ-FeOOH oxide layer steel sample, untreated steel sample, and Fe3O4 oxide layer steel sample were prepared. The light interferometer and scanning electron microscope were used to characterize the microstructure morphology and wear scar morphology of the different steel samples. The test results show that different surface states have a great influence on the wear properties of Marine steel. The Fe3O4 steel sample with a dense and complete oxide layer has the lowest wear amount, its wear marks are the shiniest and narrowest, and the surface is mainly adhesive abrasion. The largest amount of wear is the relatively loose structure γ-FeOOH oxide steel sample, which has the smallest friction coefficient, its wear mechanism is mainly abrasive wear, and the surface has more furrows and pits. The wear resistance of untreated steel samples was between the above two.
Impact of adding Na2SiF6 on the crystal phase and copper valence state in glass ceramics made from leftover granite for use as architectural ornamentation
Authors: Ma Minghong , Huang Yongqian 
Published: September 2024

Abstract
The accumulation of granite waste can result in the occupation of a considerable amount of land resources. Using granite waste as glass ceramics for architectural decoration represents a potential solution to this issue. The microstructure, valence state, and crystalline phase of copper ions were examined by using X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM), differential scanning calorimetry (DSC), and X-ray diffraction (XRD). The findings demonstrated that the concentration of Na2SiF6 affects the valence condition of Cu ions in crystallized glass. The crystalline phases of the sample containing 1.84 wt% Na2SiF6 consisted of forsterite (MgSiO3) and diopside (CaMgSi2O6), and the Cu+ accounted for 39.9% of the total Cu ions in the sample which showed a grey-black color. For the sample containing 3.67 wt% Na2SiF6, the crystalline phases consisted of richterite (Na, F) syn (Na (Na, Ca) Mg5Si8O22F2), cuprite (Cu2O), and forsterite, its Cu+ accounted for 39.9%, and the sample appeared orange-red. With the increase of Na2SiF6 content, the percentage of Cu+ in the total Cu ions showed an increasing trend, and the corresponding red color of the samples gradually deepened.
Formation mechanism of Hf-based ceramic particles in tungsten alloys
Authors: Li Jincheng , Wei Xiang , Gao Lin , Lou Longhui , Sun Benzhe , Liu Yongli 
Published: September 2024

Abstract
To meet the requirements of high strength of tungsten (W) based alloys at high temperature applied in the aerospace field, the preparation and formation of Hf-related ceramic particles in W were studied. It is found that the HfO2 phase with a size of about 500 nm was observed at the grain boundary in both W-0.26 wt.% HfC and W-0.25 wt.% HfH2-0.125 wt.% C systems. Further study of phase stability and thermodynamic properties of Hf(W)-O(C) compounds reveals that the HfO2 phase possesses the most stability of all the Hf-related compounds, and the oxidation of Hf is preferred to the carbonization. It is predicted that more stability of W base metal, higher temperature, and higher carbon concentration can reduce the formation of HfO2 while promoting the formation of the HfC particle phase.