bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conference interpreters’ technology readiness and perception of digital technologies
Authors: Fan Damien Chiaming 
Published: September 2024

Abstract
The author reports on the findings of a survey among conference interpreters regarding their readiness for and
perceptions of digital technologies and artificial intelligence. The Technology Readiness Index (TRI 2.0) was administered to a
sample of 496 conference interpreters, most of them members of AIIC. In addition, semi-structured interviews were conducted with
25 of them to gain deeper insights into their attitudes towards AI-enabled tools and the potential impact on their professional
practice. The results indicate a cautious openness towards technology balanced by concerns about cognitive load, ethical issues
and the impact on traditional skills. The findings suggest the need for comprehensive training to enhance technological skills
while maintaining ethical standards and also for research on the cognitive effects of AI-generated content and the evolving role
of interpreters in a technology-driven landscape.
Asynchronous virtual exchange and young English learners’ intercultural communicative competence
Authors: Reader Sarah 
Published: September 2024

Abstract
Virtual Exchange, by definition, connects groups of students in different countries for online intercultural
communication (Lewis & O’Dowd, 2016). This exploratory study presents and analyses
an asynchronous video exchange between sixth grade students in two countries with the goal of exploring which of Byram’s
objectives for intercultural communicative competence (2021) can be addressed with
young learners. The asynchronous video exchange project presented in this article was carried out between young English learners
in Germany and English L1 speakers in the United States. Transcripts and observation notes from project meetings in Germany and
transcripts of two videoconferences held with the two groups at the beginning and end of the exchange were analyzed qualitatively
using Byram’s objectives for intercultural communicative competence (2021) as deductive
codes in order to reveal which objectives were addressed during the exchange project. Eighteen of Byram’s 30 objectives were
addressed to some degree in the current project. Those objectives will be discussed and considerations for future exchanges will
be presented in view of these initial results.
Full-zone optical spin injection in AlxGa1−xAs alloys
Authors: Mudi Priyabrata , Khamari Shailesh K , Khan S , Zucchetti Carlo , Bottegoni Federico , Sharma T K 
Published: September 2024

Abstract
Full-zone optical spin injection in Al
x
Ga1−x
As alloys is investigated by analyzing the degree of circular polarization (DCP) of luminescence in a quantum well architecture. Aluminium content in AlGaAs barrier layers is varied to explore both the direct- and indirect-bandgap regimes. For all the samples, experimental data are compared with a 30-band
k

.p
model addressing the band structure of the alloy and the optical spin injection over the entire Brillouin zone. We observe circularly polarized luminescence arising from the spin generation either around Γ or the L valley. We interpret the specific shape of the DCP within a framework accounting for smaller electron spin relaxation at the higher k points of the X valley of the AlGaAs barrier layer. Moreover, it is found that the presence of strain plays a vital role in governing the magnitude and shape of the DCP spectra for near band-edge excitation while exciting spin-polarized carriers in the direct-bandgap AlGaAs. We believe that these findings are important for the realization of AlGaAs-based spin-photonic devices aiming at possible applications in quantum technology.
Penetrative fracture behavior of monolayer graphene oxide: nanoscale experiment and molecular dynamics simulation
Authors: Kajihara Miki , Sakuma Shunsuke , Nakao Yusuke , Ichikawa Ryo , Yonezu Akio 
Published: September 2024

Abstract
Graphene, a two-dimensional material, is expected to be employed as a next-generation component for structural and functional applications because of its light weight and excellent mechanical properties. For applications requiring lightness and impact resistance, preventing penetrative damage upon particle impact is critical for applications in mechanical protection. However, graphene is known to have high defect sensitivity. Graphene oxide (GO) may be a better candidate, as functional groups (e.g. hydroxy and epoxy groups) bonded to the C–C network in GO result in better deformability, ductility, and durability compared to graphene. For mechanical applications, it is crucial to understand the fracture behavior, especially the penetrative fracture behavior, of GO membranes. This study characterizes the penetration behavior and fracture morphology of GO membranes subjected to particle impact. Nanoscale experiments were conducted using an atomic force microscope and laser-induced particle impact test for GO. These material testing methods employ nanoscale spheres to induce particle penetration, with the former experiment conducted under quasi-static loading and the latter under dynamic loading. Additionally, molecular dynamics simulations were performed to elucidate the fracture mechanisms of GO. Finally, cyclic fatigue experiments and simulations revealed that GO’s ductility provides resistance to catastrophic failure, indicating its durability. These comprehensive investigations provide valuable insights into the fracture properties of GO membranes under impact penetration.
Nitrogen fixation by atmospheric microwave plasma with local electric field enhancement
Authors: Wu Shaokun , Liao Yinhong , Feng Kai , Zheng Fang , Xiao Wei 
Published: September 2024

Abstract
Nitrogen fixation by atmospheric microwave plasma is a promising green technology. However, the energy consumption (EC) of nitrogen fixation driven by microwave plasma is still too high in existing reports, and there is a lack of effective methods to reduce it. In this paper, a method of local electric field enhancement (LEFE) in atmospheric microwave plasma is reported, which is achieved in an optimized metal array structure that can increase the electric field intensity by 385 times. The experimental results show that the reduction of EC reaches up to 20% and the nitrogen oxide production increases by up to 26% with the LEFE. The achieved EC is as low as 1.78 MJ mol−1 with a corresponding nitrogen oxide production of 3.53%. To the best of our knowledge, this is the first study to explore the role of LEFE on nitrogen fixation, and the EC in this study is the lowest among the existing studies of nitrogen fixation by atmospheric pressure microwave air plasma.
Deciphering competing interactions of Kitaev–Heisenberg-Γ system in clusters: I. Static properties
Authors: Pervez Sheikh Moonsun , Mandal Saptarshi 
Published: September 2024

Abstract
Recently, the Kitaev–Heisenberg-Γ system has been used to explore various aspects of Kitaev spin liquid physics. Here, we consider a few small clusters of up to twelve sites and study them in detail to unravel many interesting findings due to the competition between all possible signs and various magnitudes of these interactions under the influence of an external magnetic field. When Heisenberg interaction is taken anti-ferromagnetic, one obtains plateaus in correlation functions where, surprisingly, the exact groundstate reduces to the eigenstate of Heisenberg interaction as well. On the other hand, for ferromagnetic Heisenberg interaction, its competition with Kitaev interaction results in non-monotonicity in the correlation functions. We discuss, in detail, the competing effects on low energy spectrum, flux operator, magnetization, susceptibility, and specific heat. Finally, we discuss how our findings could be helpful to explain some of the recent experimental and theoretical findings in materials with Kitaev interactions.
Impact of Gd doping on structural and magnetic characteristics of SrFeO3 perovskite nanomaterial
Authors: Sindhu T , Ravichandran A T , Xavier A Robert , Sofiya K , Kumaresavanji M 
Published: September 2024

Abstract
The SrFeO3 nanoparticles doped with 5% and 10% Gd were synthesized using the solution combustion method. The phase formation of the synthesized nanoparticles was confirmed by powder x-ray diffraction analysis. Field emission scanning electron microscope and HRTEM were employed to examine the morphology of the samples, revealing well-ordered, agglomerated nanoparticles. Energy dispersive x-ray spectroscopy analysis was conducted on all samples, confirming the presence of the desired elements. X-ray photoelectron spectroscopy confirmed the presence of mixed oxidation states of Fe3+ and Fe4+. Magnetization studies, performed using a SQUID magnetometer, showed ferromagnetic behaviour in all samples, with a significant increase in magnetic moment observed with higher Gd doping. The enhanced magnetic moments and reduced coercivity in Gd-doped SrFeO3 suggest that these materials could be suitable for spintronic applications.
Coherent fading suppression of distributed acoustic sensing based on time–frequency domain linkage algorithm
Authors: Qu Shuai , Wang Meikun , Ding Sihan , Shang Ying , Liu Guangqiang , Mou Fengming , Zhao Hong , Ni Jiasheng 
Published: September 2024

Abstract
Due to the inherent characteristic of coherent fading phenomenon, the performance of distributed acoustic sensing system will be severely degraded, producing anomalous information and positioning errors. In order to suppress the influence of this phenomenon, the data array of demodulated results is obtained after processing the collected distributed Rayleigh scattering signals along the sensing fiber, which can be utilized to construct a two-dimension (2D) image with the time–distance domain information. Thus, this allows us to remove the abnormal information that are introduced by fading noise. Based on this principle, a morphology compositional analysis (MCA) scheme, an effective time–frequency domain linkage algorithm, is applied to the constructed 2D images to enhance the sensing accuracy. Compared with traditional methods including the 2D mean value filter (MVF) and 2D wavelet transform (WT), the proposed method makes full use of the independence of image source property and abnormity feature so that the abnormal information caused by the coherent fading can be eliminated without deteriorating the source information along the sensing fiber. Experimental results show that the anomaly rate of the time–distance domain information along the sensing fiber for the proposed method, the MVF method and the WT method can be reduced by 92.43%, 65.05% and 70.18% respectively. In addition, the isolation degree of the MCA, MVF and WT methods are 41, 16.02 and 23.35 times higher than that treated by traditional method, respectively. Also, the stability of the time-domain vibration can be improved and the spatial resolution would not be influenced by the proposed method compared with the traditional method. This scheme will promote the development of distributed acoustic sensor system with high-accuracy and high-quality without any hardware modification.
Dynamic phase measurement based on two-step phase-shifting interferometry with geometric phase grating
Authors: Du Yijun , Li Junxiang , Fan Chen , Zhao Zixin , Zhao Hong 
Published: September 2024

Abstract
This paper proposes a novel dynamic 2-step phase-shifting interferometry method with a geometric phase grating and direct aberration-free object phase recovery algorithm. By exploring the amplitude-phase modulation property of the geometric phase grating, two-step phase-shifting interferograms with

π

/

2

phase shift can be obtained in a single shot through two kinds of spatial-multiplexing arrangements. Then the restriction on the background uniformity of the 2-step phase-shifting algorithms and the system aberration can be avoided simultaneously, based on the presented direct and fast object phase demodulation strategy with an object-free state recorded in advance, so an accurate object measurement result can be guaranteed. Accordingly, a detailed analysis of the theoretical model of error sources is conducted by taking the depolarization error of geometric phase grating and phase measurement model error into consideration, with a Least Squares Iteration optimization strategy established to further improve the measurement accuracy. Experiments on various types of phase objects, such as a photo-etched quartz substrate, the spatial light modulator, and a silicon chip, validate the effectiveness and accuracy of our method when compared with the reference phase obtained from 4-step temporal phase-shifting method. The dynamic phase measurement capability is demonstrated by exhibiting the evaporation process of alcohol droplet.
Energy bubble entropy guided symplectic geometry mode decomposition for rotating machinery incipient fault feature extraction
Authors: Jiang Wenxin , Jiang Hongkai , Yao Renhe , Mu Mingzhe , Dong Yutong 
Published: September 2024

Abstract
Extracting incipient fault features is a critical aspect of monitoring the rotating machinery operation condition. However, existing methods based on symplectic geometry mode decomposition (SGMD) suffer from limited parameter adaptability and noise robustness. Therefore, this paper proposes an energy bubble entropy (EbEn) guided SGMD method to extract incipient fault feature. Firstly, the SGMD method is employed to initially separate fault characteristic components from noisy signal. Furthermore, the EbEn is constructed to evaluate the attributes of incipient feature within the signal, which requires almost no parameter setting with good robustness and computational efficiency. Thirdly, the empirical bayes shrinkage method effectively mitigates irrelevant noise and enhances the significance of incipient fault feature. Simulated and experimental signals are employed to substantiate the efficacy of the EbEn guided SGMD method. The comparison analysis with relevant methods exhibits that this method has greater robustness and adaptivity.
Solar photovoltaic module defect detection based on deep learning
Authors: Zhang Yufei , Zhang Xu , Tu Dawei 
Published: September 2024

Abstract
Defect detection for photovoltaic (PV) modules is crucial in their production process, but the dataset quality and complex defects limit the accuracy and speed of the detection. In this paper, a solar PV module defect detection method was investigated using electroluminescence (EL) images. To reduce useless information in the EL images, a PV module segmentation method was proposed to segment PV cells from PV modules. Next, aiming at the insufficient sample size and the imbalance between classes in the dataset, a hybrid data augmentation method was proposed. Then, we proposed an improved YOLOv8n model for PV cell defects with different shapes and small sizes. Experiments showed that the proposed model has good comprehensive performance compared with other SOTA models, with mAP50 reaching 0.943 at only 7.6 G Flops. In addition, the proposed method can complete the defect detection of a PV module EL image containing 144 PV cells within 3 s. Overall, the proposed method meets the requirements of accuracy and real-time detection, providing a feasible solution for defect detection in PV modules.
The influence of electrical/thermal fields on the microstructure and mechanical properties of Ti2AlNb alloy from the view of molecular dynamics
Authors: Cao Xudong , Liu Haijian , Liu Qing , Yang Yong , Li Xifeng 
Published: September 2024

Abstract
The mechanism of the electrical non-thermal effects on metals is still unclear. Simulations at the atomic level are used to obtain some causes of non-thermal electroplasticity. Molecular dynamics simulations are used to study the change of defects including vacancies, edge dislocations and screw dislocations in B2, α
2 and O phases of Ti2AlNb alloy in static or dynamic situations under pure thermal field and continuous/pulsed electric fields. External energy fields can restore most of these defects. Moreover, different energy input methods have the same restoration effect on defects in the same phase. Thus, the restoration of defects in Ti2AlNb alloy by an electric field is mainly based on the thermal effect. However, the uneven distribution of electro-induced atomic kinetic energy in uniaxial tension simultaneously reduces its deformation resistance. Non-thermal effects in the electrically-assisted processing of industrial-grade materials consist of the instantaneous atomic kinetic distribution imbalance induced by electrical pulses.
Relative biological effectiveness of clinically relevant photon energies for the survival of human colorectal, cervical, and prostate cancer cell lines
Authors: Li Joanna , Chabaytah Naim , Babik Joud , Behmand Behnaz , Bekerat Hamed , Connell Tanner , Evans Michael , Ruo Russell , Vuong Te , Abbasinejad Enger Shirin 
Published: September 2024

Abstract

Objective. Relative biological effectiveness (RBE) differs between radiation qualities. However, an RBE of 1.0 has been established for photons regardless of the wide range of photon energies used clinically, the lack of reproducibility in radiobiological studies, and outdated reference energies used in the experimental literature. Moreover, due to intrinsic radiosensitivity, different cancer types have different responses to radiation. This study aimed to characterize the RBE of clinically relevant high and low photon energies in vitro for three human cancer cell lines: HCT116 (colon), HeLa (cervix), and PC3 (prostate). Approach. Experiments were conducted following dosimetry protocols provided by the American Association of Physicists in Medicine. Cells were irradiated with 6 MV x-rays, an 192Ir brachytherapy source, 225 kVp and 50 kVp x-rays. Cell survival post-irradiation was assessed using the clonogenic assay. Survival fractions were fitted using the linear quadratic model, and survival curves were generated for RBE calculations. Main results. Cell killing was more efficient with decreasing photon energy. Using 225 kVp x-rays as the reference, the HCT116 RBESF0.1 for 6 MV x-rays, 192Ir, and 50 kVp x-rays were 0.89 ± 0.03, 0.95 ± 0.03, and 1.24 ± 0.04; the HeLa RBESF0.1 were 0.95 ± 0.04, 0.97 ± 0.05, and 1.09 ± 0.03, and the PC3 RBESF0.1 were 0.84 ± 0.01, 0.84 ± 0.01, and 1.13 ± 0.02, respectively. HeLa and PC3 cells had varying radiosensitivity when irradiated with 225 and 50 kVp x-rays. Significance. This difference supports the notion that RBE may not be 1.0 for all photons through experimental investigations that employed precise dosimetry. It highlights that different cancer types may not have identical responses to the same irradiation quality. Additionally, the RBE of clinically relevant photons was updated to the reference energy of 225 kVp x-rays.
Helical resonant magnetic perturbation coils for controlling edge localized modes: a robustness study
Authors: Yang Xu , Liu Yueqiang , Yuan Jiao , Li Li , He Yuling , Xia Guoliang , Dong Guanqi , Zhou Lina 
Published: September 2024

Abstract
Plasma response to helical resonant magnetic perturbation coil current is numerically computed for tokamak plasmas, with optimization results compared with that for conventional window-frame coils. The key aspect of study is the robustness of the proposed new concept against variation of plasma equilibrium parameters including (i) the plasma resistivity, (ii) the toroidal rotation and (iii) the plasma shaping (both elongation and triangularity). Toroidal modeling results yield several important conclusions. First, assuming the same coil current, the optimal helical coils robustly outperform the optimal window-frame coils against variation of the aforementioned plasma equilibrium parameters. Secondly, for a chosen toroidal spectrum, the optimal helical coil geometry including the poloidal location, poloidal coverage and the overall shape, is robust against variation of plasma parameters except the safety factor. Finally, in all cases, optimization based on the plasma response naturally yields a single row of helical coils located near the outboard mid-plane of the torus, ensuring a relatively simple design of the coil geometry.
Investigation on growth rate and quality of diamond materials in MPCVD system
Authors: Shang Hong , Jiang Yanfeng 
Published: September 2024

Abstract
In the paper, experiments of diamond growth with varied parameters are conducted in the microwave plasma chemical vapor deposition system. The growth mechanism of the diamond is analysed based on the phase diagram. The results show that the growth rate and the crystalline quality of the diamond are influenced by the gas phase and chamber pressure. The oxygen can help to improve the crystalline quality of the diamond, while to decrease the growth rate. The methane concentration and the chamber pressure are also key parameters to influence the quality and the growth rate of the diamond. The nitrogen concentration can contribute to the growth of the diamond, and the thermal conductivity is influenced at the same time. The grown diamond substrate can be used as thermal conductor in power devices with promising thermal conductivity.
Insights into transferal to fractal space modeling: delayed forced Helmholtz–Duffing oscillator with the non-perturbative approach
Authors: El-Dib Yusry O 
Published: September 2024

Abstract
The damped Helmholtz–Duffing oscillator is a topic of great interest in many different fields of study due to its complex dynamics. By transitioning from conventional continuous differential equations to their fractal counterparts, one gains insights into the system’s response under new mathematical frameworks. This paper presents a novel method for converting standard continuous differential equations into their fractal equivalents. This conversion occurs after the nonlinear system is transformed into its linear equivalent. Numerical analyses show that there are several resonance sites in the fractal system, which differ from the one resonance point found in the continuous system. One important finding is that the fractal system loses some of its stabilizing power when decaying behavior is transformed into a diffuse pattern. Interestingly, a decrease in the fractal order in resonance settings shows a stabilizing impact, highlighting the dynamics’ complexity inside fractal systems. This endeavor to convert to fractals is a revolutionary technique that is being employed for the first time.
Residual symmetry and interactions between solitons and periodic waves of the Drinfeld–Sokolov–Satsuma–Hirota system
Authors: Li Jie-tong , Yu Jun , Liu Xi-zhong 
Published: September 2024

Abstract
In this paper, the Drinfeld–Sokolov–Satsuma–Hirota (DSSH) system is studied by using residual symmetry and the consistent Riccati expansion (CRE) method, respectively. The residual symmetry of the DSSH system is localized to Lie point symmetry in a properly prolonged system, based on which we get a new Bäcklund transformation for this system. New symmetry reduction solutions of the DSSH system are obtained by applying the classical Lie group approach on the prolonged system. Moreover, the DSSH system proves to be CRE integrable and new interesting interaction solutions between solitons and periodic waves are generated and analyzed.