bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trust to test translation practices
Authors: Zhou Shuxia , Meylaerts Reine , Hua Erbing , Zhang Linhua 
Published: May 2024

Abstract
Trust is important in public health communication to culturally and linguistically diverse (CALD) communities
during pandemics. This empirical research, using quantitative data from 107 foreign nationals at a university in Shanghai, probes
into how trust varied in official translation services (OTS) and non-official translation services (NOTS) during COVID-19.
Statistical analysis was carried out by IBM SPSS Statistics 26 and it was found that (1) NOTS which are more frequently used are
more trusted compared with OTS; (2) NOTS are uncorrelated with demographics while OTS are correlated with demographics, among
which education and trust in OTS suggest a linear positive relationship (Sig. = 0.003, β = 0.467), whereas age
and trust in OTS suggest a linear negative relationship (Sig. = 0.027, β = −0.348); (3) there is a positive
relationship between the frequency of using services and trust, i.e., higher frequency implies higher trust. The findings of this
case study can have implications for policy makers and the representatives of CALD communities.
Delving into the translator identity from a translingualism perspective
Authors: Lei Jing , Coronel-Molina Serafín M. 
Published: May 2024

Abstract
The theory of translingualism has been well constructed in sociolinguistics, yet it has not been applied fully to
the study of literary translation and translator identity. This paper attempts to analyze the English version of Mayra Montero’s
Spanish novel In the Palm of Darkness (1997) within the framework of
translingualism. Through the analysis of code-meshing and code-switching events, this article focuses on the identity construction
of Edith Grossman, the English translator of the novel In the Palm of Darkness. The occurrence of translingualism
is attributed to the complex dynamics of ethnic identity. Through co-participating in the construction process of Montero’s
identity in different scenarios, namely resistance, transformation, and inclusiveness, translingualism helps to solve problems of
translation methods on a micro scale, translator identity on a meso scale, and the approach of native culture ‘going global’ on a
macro scale.
Translanguaging in a beauty salon
Authors: Al-Nofaie Haifa 
Published: May 2024

Abstract
This is an explanatory case study of how translanguaging offers space for practicing two shared languages: Saudi Pidgin Arabic and English as a lingua franca (ELF). It attends closely to overt types of translanguaging resources practiced by interlocutors. The study utilizes the conversation analysis (CA) approach to analyze conversations totaling 240 minutes, held in a beauty salon, between a Saudi female client and a Filipino beautician who communicated with each other using English and Saudi pidgin. The results show that the speakers’ interaction is mainly in English, but they switch to pidgin Arabic to fix misunderstandings, create humor, and engage in cooperative interaction. The study demonstrates that overt translanguaging resources employed by participants strengthen the multilingual nature of their ELF interactions, during which another contact language–Saudi pidgin in this case–can be practiced as another lingua franca. The study extends the limited literature on the nature of translanguaging in lingua franca social contexts and demonstrates the uniqueness of the translanguaging resources employed by ELF users.
Non-scripted role-playing with heritage speakers and second language
learners in the medical interpreting classroom
Authors: Pinzl Michelle Marie 
Published: May 2024

Abstract
This article examines dialogue interpreting in unscripted
role-plays in the community interpreting classroom. In 2019, faculty members
from several departments at Viterbo University (La Crosse, Wisconsin)
coordinated an interprofessional education collaboration via role-playing in the
institution’s Clinical Simulation Learning Center. Nursing, social work and
pre-medical students were given the health-professional roles of caring for
community members with limited English proficiency (who acted as ‘patients’).
Interpreting students, both heritage speakers of Spanish and second language
learners (L2) of both English and Spanish, facilitated language access for all
parties involved. Recordings of these dialogues were then transcribed,
annotated, and analyzed via mixed methods. This study examines overall and
comparative findings of how heritage speakers and second language learners
interpret dialogue, focusing on the textual aspects of their exchanges. While no
language profile seemed to perform particularly better overall, certain
indicators were more problematic for L2 Spanish speakers and/or heritage
speakers. The presentation of these results and conclusions intend to foster
improved teaching interventions for classrooms with students of varying English
<> Spanish language backgrounds.
The CCL-K11 ongoing key comparison. Final report for 2023
Authors: Matus M , Margolis H S , Seppä J , Karlsson H , Hanquist C-H , Lancaster A J , Lewis A J , Brawer M , Pérez M del Mar , Bisi M , Hald J , Zechner G 
Published: May 2024

Main text
Six lasers from six national metrological institutes (NMIs) were compared in the year 2023 as part of the CCL-K11 ongoing key comparison, initiated by the 13th meeting of the Comité Consultative des Longueurs (CCL) in 2007. The absolute frequency of theses lasers was measured in three different node laboratories following the technical protocol for CCL-K11. All are practical realisations of the definition of the metre according to the MeP for the definition of the metre.
Five standards are He-Ne-lasers stabilized on the f component of the R(127) 11-5 transitions of molecular iodine 127I2 with a wavelength of approximately 633 nm.
The sixth standard is a fibre laser stabilized to the P(16) (ν1+ν3) transition of molecular acetylene 13C2H2 with a wavelength of approximately 1542 nm. The technical protocol was deliberately designed to accommodate artefacts of different wavelengths in a common framework.
The results of these measurements are compiled in the present report. The comparison reports, as communicated by each participant, are included in the main document.
This document constitutes the thirteenth final report for the ongoing key comparison CCL-K11.
To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.
The final report has been peer-reviewed and approved for publication by the CCL, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Polymer-integrated acoustic graphene plasmon resonator for sensitive detection of CO2 gas
Authors: Chi Jiao , Zhao Xinyang , Wang Linchun , Yang Ziming 
Published: May 2024

Abstract
Acoustic graphene plasmons (GPs) exhibit an exceptional density of electromagnetic states within the mid-infrared (MIR) and terahertz frequency ranges, leading to a pronounced near-field amplification and localization at the nanometer scale. This characteristic renders them highly promising for the development of ultra-sensitive plasmon-enhanced MIR sensing and spectroscopic applications. However, the tight spatial confinement inherent to acoustic GPs results in a significant momentum mismatch, which in turn leads to poor coupling efficiency with light in free space. To overcome this limitation, we leverage numerical simulations to show that GPs can act as an intermediary to facilitate efficient excitation of acoustic GPs by incident MIR radiation, achieving an extinction spectrum peak value of approximately 0.9. The proposed gas sensor based on the acoustic GP resonator is composed of pristine, large-area graphene, an array of periodic metal nanocubes, and a slender polyethylenimine (PEI) layer that adsorbs CO2, situated between the nanocubes and the graphene sheet. The sensing performance of the proposed sensor is numerically investigated. It is demonstrated that by incorporating a CO2-absorbing material into the acoustic GPs, we can perform highly sensitive assessments of the absorption bands within the PEI layer upon CO2 adsorption. The observed behavior of the acoustic GPs indicates a weakening and broadening with increasing CO2 concentrations, a phenomenon attributed to the alteration in the permittivity of the PEI in the interstitial layer due to CO2 adsorption. Numerical simulation results indicate that the sensitivity of the proposed hybrid gas sensor can reach up to 0.0183% ppm−1, which offers a remarkable 95-fold enhancement over the gas sensor based on graphene nanoribbons. Our findings underscore the potential of acoustic GP nanoresonators as a transformative platform for ultrasensitive plasmon-enhanced sensing applications, particularly when integrated with various gas adsorption layers or molecular agents.
Low field mobility in bulk GaN and its ternary AlGaN/GaN compounds (quantum kinetic approach)
Authors: Kovalenko Konstantin L , Kozlovskiy Sergei I , Sharan Nicolai N , Venger Eugeniy F 
Published: May 2024

Abstract
Analytical expressions for the low-field mobility of charge carrier gases with three-(3D), two-(2D) and one-(1D) dimensionalities are obtained. Multi-ion ionized impurities scattering, acoustic and polar optic phonons are considered as scattering mechanisms. The calculated values of mobility are compared to known experimental data for bulk (3D) n-and p-type wurtzite, n-type zinc-blende GaN crystals and low dimensional (2D and 1D) ternary GaAlN compounds. The resulting analytical expressions give the dependences of mobility on dimensionality of charge carrier gas, its density, effective mass, temperature and confining dimensions. A comparison of the experimental and calculated temperature dependences of the mobility in bulk GaN crystals (3D) and in AlGaN/GaN nanowires (1D) shows that the mobility at

T
>
100

K

is determined by the scattering of charge carriers by polar optical phonons with an energy of 91.2 meV. The temperature dependences of mobility in Al0.25Ga0.75N/GaN heterostructures (2D) at

T
>
100

K

are in consistent with experiment for electron scattering by polar optical phonons with a noticeably higher energy of 160 meV. We associate this fact with the heterointerface, which according to well-known theoretical studies can change both the strength of electron polar optical phonons scattering and the energy of the phonons.
Topological phase transition and tunable surface states in YBi
Authors: Kumar Ramesh , Singh Mukhtiyar 
Published: May 2024

Abstract
A unique co-existence of extremely large magnetoresistance (XMR) and topological characteristics in non-magnetic rare-earth monopnictides has stimulated intensive research on these materials. Yttrium monobismuthide (YBi) has been reported to exhibit XMR up to 105% but its topological properties still need clarification. Here we use the hybrid density functional theory to probe the structural, electronic, and topological properties of YBi in detail. We observe that YBi is topologically trivial semimetal at ambient pressure which is in accordance with reported experimental results. The topological phase transitions i.e. trivial to non-trivial are obtained with volumetric pressure of 6.5 GPa and 3% of epitaxial strain. These topological phase transitions are well within the structural phase transition of YBi (24.5 GPa). The topological non-trivial state is characterized by band inversions among Y-d band and Bi-p band at Γ- and X-point which is further verified with the help of surface band structure along (001) plane. The Z2 topological invariants are calculated with the help of product of parities and evolution of Wannier charge centers. The occurrence of non-trivial phase in YBi with a relatively small epitaxial strain, which a thin film geometry can naturally have, make it an ideal candidate to probe inter-relationship between XMR and non-trivial topology.
Anisotropic optical property of ferroelectric Bi2O2X(X = S,Se,Te) monolayer and strain engineering
Authors: Yu Miao , Xun Wei , Dong Yaojun , Gu Han , Zhong Jia-Lin , Ren Jie , Hao Xiang , Wu Yin-Zhong 
Published: May 2024

Abstract
Based on the first-principles calculations, ferroelectric

B

i
2

O
2

X
(
X

=

S
,
S
e
,
T
e
)

monolayers with unequivalent in-plane lattice constants are confirmed to be the ground state, which is consistent with the experiment result (Ghosh et al 2019 Nano Lett.
19 5703–09), and the anisotropic optical property is firstly investigated. We find that the polarizations of

B

i
2

O
2

X

monolayers points along the direction of a-axis, and

B

i
2

O
2

T
e

monolayer process the largest polarization. Furthermore, both the biaxial and uniaxial strains are favor for the enhancement of polarization of

B

i
2

O
2

X

monolayers. It should be mentioned that the type of band gap will convert from indirect to direct for

B

i
2

O
2

T
e

monolayer when the a-axial tensile strain is larger than 2%. At last, the optical absorption coefficient for

B

i
2

O
2

X

monolayers are calculated, and we obtain that

B

i
2

O
2

T
e

monolayer has the strongest optical absorption within the range of visible light, the anisotropy and possible strain engineering to improve the optical absorption are discussed in detail. Our findings are significant in fields of optoelectronics and photovoltaics.
Adaptive physics-encoded graph neural network for health stage assessment of liquid-propellant rocket engines
Authors: Ma Meng , Wang Zhizhen , Li Tianfu , Zhang Zhenzhen 
Published: May 2024

Abstract
The improvement of reliable health monitoring system for liquid-propellant rocket engines (LREs) is a crucial part for reusable launch vehicle, which contributes to providing competitive and cost-effective propulsion systems. Thus, it accentuates the need for reliable and quick health stage assessment of system and follow-up damage-mitigating control. In this paper, we propose a novel adaptive physics-encoded graph neural network for health stage assessment of LREs. Our approach embeds the relations of different sensors obtained through expert experience, which contributes to constructing a physical graph layer. To better capture the information contained in all the sensor data, a novel convolutional layer of adaptive auto-regressive moving average filters is designed, which considers the personalized information propagation needs of each neural network layer. The performance of the proposed method is quantified with data obtained from physics simulations and real-world engineering systems. The results show that our model has potential applicability for the health stage assessment of LREs with high accuracy.
UAV imagery-based railroad station building inspection using hybrid learning architecture
Authors: Liu Boqi , Yang Tong , Wu Xiaolei , Wang Bo , Zhang Hao , Wu Yunpeng 
Published: May 2024

AbstractThe apparent defects of railroad station building such as the broken glass, missing screw, and rust corrosion need to be inspected regularly and timely to ensure the safety of passenger. Unmanned aerial vehicle (UAV) imagery-based inspections have the potential to revolutionize current manual visual inspections by providing a better overhead view and mitigating safety concerns. This paper proposes a hybrid learning architecture called YOLOS (you only look once station scene) to simultaneously detect and segment station building surface defects of UAV images. First, a novel squeeze-and-excitation (SE) attention block is integrated into the detection branch to adaptively learn the weights of the feature channels, thereby promoting the network to pay attention to the critical deep features of the objects. And then, a new semantic segmentation branch parallel to the detection branch is designed and assembled in YOLOS for pixel-level defect recognition. Finally, extensive experiments on railroad station dataset established with drone imagery prove the effectiveness and robustness of the SE-based network on station surface defect detection. This method can quickly convert UAV imagery into useful information with a high detection rate.
WBUN: an interpretable convolutional neural network with wavelet basis unit embedded for fault diagnosis
Authors: Gao Sen , Zhang Zhijin , Zhang Xin , Li He 
Published: May 2024

Abstract
Convolutional Neural Network (CNN) is extensively applied in mechanical system fault diagnosis. However, the absence of transparent decision mechanisms in CNNs hinders credibility. To address these challenges, this paper proposes an interpretable wavelet basis unit convolutional network (WBUN). This network incorporates meticulously designed wavelet basis unit (WBU) functions into convolutional layer, creating the interpretable wavelet basis unit convolutional (WBUConv) layer. Convolutional kernels with clear physical significance enable the WBUConv layer to extract fault-related features in both time and frequency domains, enhancing diagnostic performance, and interpreting the CNN’s attention frequency along with the convolutional kernel’s training outcomes. In this paper, three WBU functions are designed to construct the corresponding WBUNs, and their effectiveness and interpretability are verified through three sets of mechanical fault diagnosis experiments. Meanwhile, experimental results demonstrate the WBUConv layer’s remarkable advantages in noise robustness, convergence speed, and strong generalization ability.
Development of a new class of temperature-sensitive paints operating in the green spectrum of light for aerodynamic flow applications
Authors: Singh Chandrasekaran Keesanth , Mariappan Sathesh , Das Debopam , Singh Anand 
Published: May 2024

Abstract
Temperature-sensitive paint (TSP) is widely used in aerodynamic measurements, such as detecting laminar to turbulent transition locations, heat transfer measurements, etc. Most conventional TSP luminophores are Ruthenium and Europium complexes, whose peak absorption wavelengths occur at UV or blue spectrum of light. A new class of TSP is developed based on eosin Y as a luminophore. Eosin Y has peak emission and absorption wavelength in the green spectrum, allowing employment of conventional (Nd-YAG) lasers and scientific cameras in aerodynamic applications. The paint achieved a temperature sensitivity of 0.9

%

/K, comparable to Rhodamine B based TSP, which operates in the green spectrum. The performance of the TSP is compared with the temperature and its gradient measured using an infrared camera (serving as a reference). The capability of the TSP is tested in three configurations of increasing complexity. The paint successfully detects the laminar to turbulent transition location (third configuration), indicating its promise as an addition to the existing ones for aerodynamic applications.
A subbands study on the resistivity of field-effect CNT-based piezoresistive nanocomposites
Authors: Haghgoo Mojtaba , Ansari Reza , Hassanzadeh-Aghdam Mohammad Kazem , Jamali Jamaloddin 
Published: May 2024

Abstract
In this paper, an analytical model based on the percolation theory has been developed to predict the subbands effect on the effective electrical resistivity of carbon nanotubes (CNT)-based polymer nanocomposites. The CNTs are considered as randomly distributed or aligned channel material in the polymer transmitting electrons through tunneling. The tunneling effect takes into account the electron transmission between each connected pair of CNTs to evaluate electrical resistivity. The modeling approach contains two steps of primary prediction of resistivity and further calculation of CNTs’ displacements and subsequent change of the resistance. A good agreement is found between the analytical model predictions and experimental data when the tunneling behavior was considered in the percolation transition region. The effect of CNT diameter, orientation state, and subbands on the resistivity has been investigated. The results depict that subbands increment is a collateral benefit to the aspect ratio in decreasing the resistivity. The analytical results demonstrate that a random CNT dispersion leads to a decreased piezoresistivity, while an increased strain range depicts a more non-linear behavior.
Accurate band alignment of sputtered Sc2O3 on GaN for high electron mobility transistor applications
Authors: Das Partha , Finch Harry , Edwards Holly J , Almalki Saeed , Dhanak Vinod R , Mahapatra Rajat , Mitrovic Ivona Z 
Published: May 2024

Abstract
Sc2O3 is a promising gate dielectric for surface passivation in GaN-based devices. However, the interface quality and band alignment of sputtered Sc2O3 on GaN has not been fully explored. In this work, x-ray photoelectron spectroscopy (XPS) and variable angle spectroscopic ellipsometry were performed to extract the discontinuities in the valence and conduction bands of the Sc2O3/GaN system. Sc2O3 films were deposited on GaN using radio frequency sputtering. The valence band offset of Sc2O3/GaN was determined to be 0.76 ± 0.1 eV using Kraut’s method. The Sc2O3 band gap of 6.03 ± 0.25 eV was measured using O 1s energy loss spectroscopy. The electron affinity measurements of GaN and Sc2O3 using XPS secondary electron cut-off spectra provided an additional degree of accuracy to the derived band line-up for the Sc2O3/GaN interface. The band alignment results were compared with literature values of band offsets determined experimentally and theoretically for differently grown Sc2O3 films on GaN.
Growth-induced stability in modified SLE curve
Authors: Shibasaki Yusuke 
Published: May 2024

Abstract
In this study, the non-equilibrium free energy corresponding to the curve generated by a modified stochastic Loewner evolution (SLE), which is driven by the Langevin equation, is theoretically investigated. Under certain conditions, we prove that the time derivative of the (generalized) free energy expressed by Kullback-Leibler divergence between the probability distributions of the curve and driving function has a positive value, indicating the negativity of Gibbs entropy production. In addition, it was implied that, in a certain restriction, the free energy can be expressed as a function of a Lyapunov-type exponent of the driving function. These results show a dissipative nature of conformal dynamics, and indicate the growth-induced stability of the modified SLE curve.
WSM-MIL: a weakly supervised segmentation method with multiple instance learning for C elegans image
Authors: Ding Mengqian , Liu Jun , Zhao Zikang , Luo Yang , Tang Jinshan 
Published: May 2024

Abstract
Recently, image analysis techniques have been introduced to automate nematode information assessment. In image analysis-based nematode information assessment, the initial step involves detecting and segmenting C. elegans from microscopic images and network-based methods have been investigated. However, training a network for C. elegans image segmentation is typically associated with the labor-intensive process of pixel-level mask labeling. To address this challenge, we introduced a weakly supervised segmentation method using multiple instance learning (WSM-MIL). The proposed multi-instance weakly supervised segmentation method comprises three key components: a backbone network, a detection branch, and a segmentation branch. In contrast to fully supervised pixel-level annotation, we opted for weakly supervised bounding box-level annotation. This approach reduces the labour cost of annotation to some extent. The approach offers several advantages, such as simplicity, an end-to-end architecture, and good scalability. We conducted experiments comparing the proposed network with benchmark methods, and the results showed that the network exhibits competitive performance in the image segmentation task of C. elegans. The results of this study provide an effective method in the field of biological image analysis, as well as new ideas for solving complex segmentation tasks. The method is not only applicable to the study of C. elegans but also has wide applicability in biological image segmentation problems in other fields.