bluuebunny/crossref_metadata_2025_split huggingface dataset:
Análisis textual y terminológico del discurso turístico especializado
Authors: Pulgarín Mª Esther Gómez 
Published: February 2025

Resumen
El turismo con mascotas ha experimentado un crecimiento exponencial durante las últimas décadas. En consecuencia, nacen nuevas necesidades lingüísticas y nuevos términos para designar esta modalidad turística en desarrollo. Así, resulta pertinente realizar un análisis de los textos surgidos de esta, así como de su terminología. El presente estudio tiene como objetivo principal estudiar los textos que genera este nuevo discurso turístico especializado y, con ellos y como objetivo secundario, la terminología perteneciente al ámbito de las mascotas que estos contengan. En primer lugar, se propone una exposición y estudio de los tipos de textos con mayor presencia en el turismo con mascotas siguiendo la clasificación de Calvi (2010) y mediante la compilación de un corpus textual. Una vez compilado, se analizarán la estructura de los textos y el lenguaje empleado, además de su terminología especializada relativa a las mascotas, poniendo especial atención en los términos originarios del inglés. Para este propósito, recurriremos a las escritoras Durán y Jiménez, cuyo análisis se enfoca en el turismo de aventuras, dentro de su proyecto DicoAdventure; y De la Cruz et al. Al, que utilizan el estudio de corpora para analizar la incorporación de préstamos ingleses en el sector turístico. Tras ello, se expondrán las conclusiones pertinentes al estudio, entre las que destaca el alto nivel de especialización de los textos.
Textos turísticos en lectura fácil
Authors: Reguera Ana Medina , Márquez Desirée Avilés 
Published: February 2025

Resumen
Este trabajo se encuadra en el proyecto de investigación “Sistemas pictográficos y elementos visuales para comprender el
patrimonio. Traducción intersemiótica a lectura fácil. VISUALECT” del Ministerio de Ciencia e Innovación de España. Concretamente, se
presenta la compilación y composición de un corpus textual de textos turísticos en lectura fácil (LF), concepto que se ubica previamente como una
modalidad de traducción intralingüística para la accesibilidad, que no cuenta aún con un marco teórico sólido en los Estudios de
Traducción. Habida cuenta de lo incipiente que es esta modalidad, se ha elaborado una base de datos de textos origen y meta que sirva
para analizar las estrategias traductoras y el nivel de variabilidad entre diferentes géneros y traductores. Los resultados que se
obtienen entre 250 textos arrojan un repertorio de trece géneros textuales, así como un reparto muy desigual en la distribución
geográfica. Se incluyen reflexiones sobre la dificultad de recuperación de los textos originales y la elevada variabilidad en las
estrategias macrotextuales y en los elementos paratextuales.
Child L2 acquisition of French
Authors: Granfeldt Jonas 
Published: February 2025

Abstract
This paper reviews research on child L2 French (cL2) published since 2000 with a focus on research
areas and methodology in a broad sense. The aim of the review is to identify methodological trends in the research, to
exemplify, and to provide a discussion of prominent features. The review shows that research on cL2 French has mainly
focused on the acquisition of morphosyntax based on oral production data. There are few longitudinal studies while
experimental research focusing on comprehension and online processing is largely lacking. Despite being a world
language, the number of different settings and L1s in cL2 French research is limited. Following trends in bilingualism
research, methods for studying exposure and input have developed from an initial reliance on the Length of Exposure
measure to more sensitive measures of relative exposure, but there are still few studies presenting any absolute
measures of input. In recent years, a focus on the use and development of standardized tests for clinical purposes is
noticeable. The review also shows that reporting practices concerning ethical considerations need to become more
consistent in the future.
Strawberry Green Petal Disease Pathosystem in Québec, Canada
Authors: Santos Abraão Almeida , Molligan Joshua , Plante Nicolas , Peréz-Lopéz Edel 
Published: February 2025

Abstract

The emergence and re-emergence of pathosystems are expected to increase with ongoing climate change. Strawberry green petal disease (SbGP) is caused by phytoplasmas transmitted by two leafhopper species,
Aphrodes bicinctus
and
Macrosteles quadrilineatus
, in strawberry crops. In Québec, SbGP was frequently reported between 1950 and 1970. However, recent surveys (2012–2022) indicate an increased disease incidence in strawberry fields. While it is unclear whether this increase indicates a re-emergence or underreporting, understanding these pathosystem components can help clarify the underlying causes. This case study reviews the SbGP pathosystem, historical reports, and existing control measures, emphasizing the importance of ongoing and future research to address identified gaps. Although SbGP currently poses a limited economic threat, the interactions within the pathosystem could be exacerbated by warming temperatures, potentially leading to increased vector populations, altered phytoplasma development, susceptibility of strawberry plants, and consequently, severe outbreaks and a broader geographic distribution of the disease.

Information
© The Authors 2025
Quantum BPS cosmology
Authors: Kan Nahomi , Shiraishi Kiyoshi , Takeuchi Maki , Yashiki Mai 
Published: February 2025

Abstract
There has been much discussion about the initial conditions of the early Universe in the context of quantum theory. In this paper, we construct the wave function and probability distribution by adopting the quantum version of the BPS equation instead of the usual Wheeler–DeWitt equation in a minisuperspace quantum cosmology with spatially uniform scalar fields. Although the model treated in this study is technically valid for a limited form of scalar potential, we show that it is possible to construct a conserved probability current in our model. We also examine classical and quantum aspects of models with the Dirac–Born–Infeld type scalar fields.
A phase unwrapping algorithm for high dynamic range distributed acoustic sensing with signal fidelity
Authors: Li Zhengying , Wang Changjia , Fu Xuelei , Li Weikai , Gui Xin , Shi Jin 
Published: February 2025

Abstract
In this paper, a differential-unwrapping-integral-regression-extraction (DUIRE) algorithm is proposed. Using the least squares fitting and the empirical mode decomposition (EMD) to replace the polynomial fitting, the cumulative error caused by noise is significantly reduced. While the maximum measurable strain is improved as compared to that of the traditional algorithm, the baseline drift, which occurs in the DUI algorithm, is resolved. In addition, the strain resolution is also improved due to the noise reduction in EMD, thus enhancing the dynamic range and signal fidelity. The dynamic range based on the DUIRE algorithm can reach 97.14 dB@1 kHz. The dynamic range improvement effect is more noticeable when the input signal-to-noise ratio is low. In a fiber Bragg grating based DAS system with 9.80 km sensing distance, only the proposed DUIRE algorithm can correctly restore the applied multi-frequency vibration signal.
Dual-task guided network: hybrid supervised learning for surface defect detection
Authors: Zou Juncheng , Lv Junjie 
Published: February 2025

Abstract
Efficient and accurate surface defect detection is a crucial task for industrial production, where traditional computer vision methods often fail to reliably identify subtle manufacturing defects. This paper proposes a novel hybrid supervised learning-based dual-task guided network (DTGNet) model that combines the strengths of supervised and unsupervised learning techniques to address the limitations of traditional approaches. By integrating partial convolution, scalable convolution and content-guided attention fusion (CGAFusion), our model improves recognition of complex defect features and achieves state-of-the-art performance on benchmark datasets. Experimental validation on the KSDD2 dataset empirically demonstrates DTGNet’s superior performance, with Lite DTGNet achieving a 93.51% accuracy. This innovative approach not only advances industrial quality control technologies but also provides a flexible, data-efficient framework.
Manganese valence modulation in δ-MnO2 via F-doping for enhanced electrocatalytic oxygen evolution reaction
Authors: Shi Xinyu , Deng Libo , Sun Lingna , Zhang Qianling , Ren Xiangzhong , Li Yongliang 
Published: February 2025

Abstract
Manganese dioxide (MnO2) is recognized as a promising candidate for the oxygen evolution reaction (OER); however, its practical application is hindered by limited active sites and low electrical conductivity. Fluorine (F), known for its strong electron affinity and electronegativity, can modulate the surface electronic structure and physicochemical properties of catalysts. In this study, we synthesized MnO2 nanosheets and fluorine-doped MnO2 (F-MnO2) using simple hydrothermal and ion-exchange methods. We then assessed the influence of fluorine doping on the intrinsic OER activity and stability of these catalysts, as well as their underlying catalytic mechanisms. By manipulating the amount of fluorine introduced and the fluorination temperature, we explored the relationship between varying fluorine concentrations and OER performance. The experimental results show that F-MnO2 exhibits higher OER activity than pristine MnO2. At a current density of 10 mA cm–2, the overpotential required for F-MnO2 is merely 320 mV, substantially lower than that of pristine MnO2. This enhanced performance is ascribed to fluorine doping, which leads to an increased quantity of active Mn3+ centers and oxygen vacancies, along with an expanded electrochemically active surface area. Furthermore, F-MnO2 displays improved stability during the testing period. It maintains long-term stability for over 25 h, further corroborating the catalyst’s excellent anti-oxidation and anti-corrosion properties in alkaline water electrolysis.
Extended drift-kinetic full-f turbulent simulation of a linear plasma device using the gyro-moment approach
Authors: Mencke J E , Ricci P 
Published: February 2025

Abstract
Turbulent full-f simulations in a linear plasma device are presented. Extending the work of Frei et al (2024 Phys. Plasmas
31 012301), the simulations are based on a drift-kinetic (DK) model that includes corrections associated with higher-order drifts and finite Larmor radius (FLR) effects, while avoiding the Boussinesq approximation. To solve the DK equation, the ion distribution function is expanded on a Hermite-Laguerre basis and the expansion coefficients, denoted as the gyro-moments (GMs), are evolved. Convergence is demonstrated with a small number of GMs and the ion distribution function is shown to be, approximately, a bi-Maxwellian distribution. The simulations reveal significantly reduced cross-field transport with respect to standard DK simulations. Turbulent structures are observed, predominantly elongated in the parallel direction, and largely unaffected by the number of GMs. Linear investigations of the unstable turbulent modes reveal the presence of a long-wavelength Kelvin–Helmholtz mode and a short-wavelength mode driven unstable by finite FLR corrections. The role of these modes in the nonlinear simulations is discussed.
Theoretical and key technology research on superconducting undulator
Authors: Chen Zilin , Yang Xiangchen , Zhang Xiangzhen , Wei Junhao , Bian Xiaojuan , Gao Yao , Guo Qing , Geng Jieru , Li Yuhui 
Published: February 2025

Abstract
Superconducting undulators (SCUs) are increasingly vital for synchrotron light sources and free-electron lasers in modern particle accelerators due to their ability to surpass the performance limitations of traditional permanent magnet undulators (PMUs). This paper delves into the theoretical framework and key technologies of SCUs, substantiating findings with experimental verifications. The theoretical analysis and numerical simulations of SCU magnetic fields are conducted based on Maxwell’s equations, leading to optimized magnetic field distributions. Advanced manufacturing processes, such as high-precision coil winding and epoxy resin impregnation, are developed and refined. The paper also details the SCU’s cryogenic, power supply, quench protection, vacuum, and magnetic field measurement systems, ensuring safe and stable operations in real-world conditions. Prototypes, including 1.5-meter-long SCUs, undergo rigorous tests at liquid helium temperatures to validate reliability, revealing that while the SCU meets the design goals in both the vertical and horizontal states, gravity effects in the horizontal state deteriorate the quality of the magnetic field and require iterative optimization. The improvement of the magnetic field quality is achieved by locally adjusting the tuning gap and the end correction coils. Despite the advances that have been made, it is essential to further enhance the performance of SCUs by optimizing the end design and adding means to regulate the magnetic field at low temperatures. This study lays a solid theoretical and technical foundation for the application of SCUs in advanced light sources, and is expected to provide a meaningful reference for the development of more SCUs in the future.
Discrete-time systems in quasi-standard form and the h6 coalgebra symmetry
Authors: Drozdov Pavel , Gubbiotti Giorgio 
Published: February 2025

Abstract
In this paper, we characterize all discrete-time systems in quasi-standard form admitting coalgebra symmetry with respect to the Lie–Poisson algebra h6. The outcome of this study is a family of systems depending on an arbitrary function of three variables, playing the rôle of the potential. Moreover, using a direct search approach, we classify discrete-time systems from this family that admit an additional invariant at most quadratic in the physical variables. We discuss the integrability properties of the obtained cases, their relationship with known systems, and their continuum limits.&#xD;
A Greedy Algorithm-Based Scheme for High-Quality Visually Meaningful Image Encryption
Authors: deng yong , tian xiaomei , Chen Zhong , Xiao Yanting , Xiao Yongquan 
Published: February 2025

Abstract
To address the limitations of existing visually meaningful image encryption algorithms in terms of visual quality &#xD;and adaptability across different wavelet types, this paper introduces a novel greedy algorithm-based embedding method. &#xD;Our approach innovatively selects the optimal decomposition basis dynamically by calculating an error value for each &#xD;candidate basis, tailored to the specific characteristics of both the host and plaintext images. This error-based &#xD;selection process significantly enhances visual quality across a spectrum of wavelet transformations. Furthermore, &#xD;we propose a novel two-dimensional hyperchaotic map (2D-RECM), characterized by its hyperchaotic behavior across a &#xD;broad range of control parameters. The integration of 2D-RECM with our embedding algorithm results in a robust visually &#xD;meaningful image encryption algorithm (RECM-VMIEA). Extensive simulations and analyses confirm that RECM-VMIEA not only &#xD;maintains high visual quality but also exhibits exceptional security and robustness, outperforming existing algorithms &#xD;in these critical aspects.
Optimizing the bernstein collocation approach: chebyshev-gauss-lobatto nodes in singular perturbation
Authors: Beniwal Kirti , Kumar Vivek 
Published: February 2025

Abstract
This research provides a numerical comparison of the performance of the variational method and the Bernstein collocation method (BCM) using equispaced nodes and Chebyshev-Gauss-Lobatto Nodes with respect to solving singularly perturbed equations that involve both linear and nonlinear problems. These problems provide major numerical approximation challenges because of their boundary layers and steep gradients. The BCM with Chebyshev nodes was found to perform more accurately than the variational method and the equispaced node configuration through a thorough error assessment that takes into account both maximum absolute error and root mean square error. For instance, for a perturbation parameter ϵ = 0.0001, the BCM with chebyshev nodes shows maximum errors as 2.803 × 10−11, compared to 7.862 × 10−8 for equispaced nodes and 5.267 × 10−6 for variational method. Additionally, the condition number of the matrices in the BCM with Chebyshev nodes is consistently smaller, demonstrating improved numerical stability. This makes the BCM with Chebyshev nodes an extremely useful tool for handling the complexity of singular perturbations in terms of providing substantial improvements in accuracy and computational reliability over traditional methods.
Effect of drain region doping on performance of a vertical dual-gate JLFET
Authors: Garg Aanchal , Gola Deepti , Singh Balraj , Singh Yashvir 
Published: February 2025

Abstract
This work presents the subthreshold performance comparison of two variants of vertical SOI double gate junctionless FET (DG-JLFET). In the proposed structure, a channel is formed between the two vertical gates placed in respective trenches. The first DG-JLFET structure has identical moderately doped drain and channel regions. However, the second DG-JLFET structure has heavily doped drain but moderately doped channel, referred as accumulation-mode DG-JLFET (ADG-JLFET). ATLAS
TM
TCAD device simulator has been utilized to obtain the switching performance parameters for both the device structures. The DG-JLFET achieves a 3.17% improvement in subthreshold slope (SS) and a 116% improvement in drain-induced barrier lowering (DIBL) compared to the ADG-JLFET. These improvements directly contribute to the DG-JLFET’s superior overall subthreshold performance, demonstrating its advantage over the ADG-JLFET.
Comparative study of green and chemically synthesized CdO NPs: study of their photocatalytic dye degradation under sunlight irradiation
Authors: Shahzad Muhammad , Ishaque Muhammad Zahid , Iqbal Hina , Zaman Yasir , Siddique Abu Bakar , Zaman Hira 
Published: February 2025

Abstract
The 21st century is plagued with environmental problems, of which water pollution is one of the biggest challenges. The textile and pharmaceutical industries are major contributors to azo dye pollution in water reservoirs, for which wastewater purification is crucial. In this regard, the CdO NPs-based efficient photocatalysts have been proposed in current research work. The synthesis of CdO NPs has been reported by hydrothermal, coprecipitation, and green approaches. The synthesized CdO NPs have been characterized by advanced techniques, like UV-visible and FTIR spectroscopy, PXRD, FESEM, EDX and zeta potential analysis. The optical bandgap of the CdO NPs was optimized by studying the calcination effect on UV-visible spectra of samples. A blue shift of the SPR peak corresponding to an increase in bandgap energy was observed after calcination of samples. XRD analysis indicated FCC structure of all synthesized CdO NPs with crystallite size in the range of 11.5 -16.5 nm for chemical and green synthesis which is calculated by Debye–Scherrer’s formula. FESEM images revealed the spherical nature of CdO NPs. The photocatalytic potential of CdO NPs synthesized by hydrothermal, coprecipitation and green method has been accessed to degrade methylene blue (MB) dye effectively. Melia Azdaratch Extract based synthesized CdO NPs showed highest photocatalytic activity to degrade MB dye in 90 min.
Biophysical response of a coastal woodland to extreme water deficit during a year of record-breaking heat
Authors: Moore Caitlin E , Thompson Sally E , Beringer Jason , Cooper Wesley , Gelsinari Simone , Nguyen Hoang Long , Wang Huanhuan , Xie Qiaoyun , Silberstein Richard P 
Published: February 2025

Abstract
Global terrestrial and ocean surface temperatures continue to reach record levels, resulting in heat waves, drought, and prolonged heat stress experienced by vegetation in many regions. In 2023–2024, coastal terrestrial ecosystems in Western Australia were particularly affected, experiencing their driest and hottest summer since observations began in the early 1900s. Banksia woodlands are a threatened ecological community in this region that are endangered by the cumulative impacts of climate change, clearing and changing groundwater regimes, the last of which is strongly influenced by the dual use of groundwater resources by the ecosystem and by the ∼2 million people in the city of Perth. Within the banksia woodlands is a Terrestrial Ecosystem Research Network (TERN) long-term ecological observatory that has been measuring ecosystem phenology, groundwater levels and carbon, water and energy fluxes since 2011. The 11-year site records confirm 2023 rainfall was the lowest in the record. Groundwater monitoring showed an ∼1 m drop in 2023–2024 alone, in addition to a long-term reduction of ∼4 m in water table depth since observations began in 1977. The resulting extreme water deficits manifested in reduced ecosystem evapotranspiration and altered carbon flux dynamics. Phenocam imagery revealed the consequences of this water deficit at the site level through visible canopy dieback and shifts in vegetation greenness indices. Vegetation indices from remote sensing products showed widespread vegetation stress across the ecosystem range. Continued monitoring at local and regional scales with these combined methodologies will determine (a) how well the Banksia ecosystems are able to recover from this extreme climate event and (b) the ramifications for the carbon and water cycle of the region. This ecosystem is a sentinel of climate change, providing early insight into how ecosystem-climate interactions are altering globally.
Investigative study on energy solutions systems for cereals milling in Sub-Saharan rural areas based on an optimal design using multi-objective NSGA-II
Authors: Zieba Falama Ruben , Sun Yanxia 
Published: February 2025

Abstract
Sub-Saharan rural areas mostly use cereals diesel milling because of lack of electricity. However diesel engine operation is very polluting. Using an alternative energy source for cereals milling could be beneficial both environmentally and economically. In this regard, a comparative analysis based on a multi-objective NSGA-II is carried out between diesel and electric milling of cereals. Different electrical energy sources including photovoltaic solar energy are proposed and investigated. The concept of cost of mechanical energy (COME) is introduced for the economic comparison between diesel and electric milling. The obtained results have shown that for 0% DPSP (Deficit of power supply probability), the COME of PV/Batt/EM, Grid/EM, DG/EM, and DE systems, are respectively 0.2455 $ kWh−1, 0.1905 $ kWh−1, 0.5649 $ kWh−1 and 0.4982 $ kWh−1. The corresponding cost of electrical energy (COEE) of PV/Batt, Grid and DG systems, are respectively 0.2051$ kWh−1, 0.158 $ kWh−1, and 0.4785 $ kWh−1. The cost of milling (COM) for the optimal systems designed are 0.0106 $ kg−1, 0.0091 $ kg−1, 0.0194 $ kg−1, and 0.0175 $ kg−1, respectively for PV/Batt/EM, Grid/EM, DG/EM, and DE systems. However, when the PV solar energy losses are sold, then the COME, the COEE, and the COM of the PV milling system become respectively 0.1854 $ kWh−1, 0.1215 $ kWh−1, and 0.0079 $ kWh−1. The calculated CO2 emissions (CO2e) per year of PV/Batt/EM, Grid/EM, DG/EM, and DE systems, are respectively 3191 kgCO2e, 6906.8 kgCO2e, 14484 kgCO2e, and 8963.8 kgCO2e. The outcomes of this study show that, the electric milling based PV energy could be the best techno-economic and environmental option to adopt in grid and non-grid connected rural areas.