bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fraseología y léxico de la orfebrería en contextos turísticos (francés-español)
Authors: Jiménez Carmen Trinado 
Published: February 2025

Resumen
La orfebrería es una parte fundamental del patrimonio artístico español, y su conservación es objeto de interés del Instituto
del Patrimonio Cultural de España (Mejías Álvarez, 2021, p. 161). No obstante, apenas se ha
abordado la orfebrería desde un enfoque lingüístico. En el presente trabajo se estudia la fraseología en un corpus en francés y español de
textos turísticos sobre orfebrería. En primer lugar, se analizan las distintas tipologías textuales a los que se enfrenta a diario un
turista. En segundo lugar, se recopilan textos turísticos relacionados con la orfebrería en francés y en español siguiendo la
metodología propuesta por Vargas Sierra (2006) y Torruella y
Llisteri (1999). Por último, llevaremos a cabo un análisis de la fraseología de nuestro corpus prestando especial atención a las
colocaciones de acuerdo con el enfoque semántico propuesto por Buendía Castro (2020).
CA-SLA
Authors: Pekarek Doehler Simona 
Published: February 2025

Abstract
Second language interactional competence has for long remained out of the focal concerns of
research on second language acquisition (SLA). Over the past two decades, however, the field has seen emerge a
prominent line of conversation-analytic (CA) SLA research investigating the procedures and resources L2 speakers use
to accomplish actions in interaction and coordinate these with others, and how these procedures change over time and
proficiency levels. This chapter discusses the key role played by research on French in these developments in terms of
the advancement of methods for longitudinal investigations of L2 interactions, the conceptualization of L2
interactional competence and — relatedly — L2 grammar-for-interaction, and the identification of the basic
developmental trajectory of such competence. It presents the cumulative evidence stemming from developmental studies
of L2 interactional competence and identifies existing French L2 corpora suitable for such studies. The chapter closes
with a discussion of the methodological limits of current research as well as avenues for future investigations.
Remote comparison of two Sr optical lattice clocks through a 58 km fiber link
Authors: Liao Tang-Yin , Liu Hao , Meng Fei , Wang Qiang , Yang Tao , Tian Hao-Chen , Lu Bing-Kun , Zhu Lin , Li Ye , Lin Bai-Ke , Fang Zhan-Jun , Lin Yi-Ge 
Published: February 2025

Abstract
Two 87Sr optical lattice clocks (OLCs) are being developed and operated at the National Institute of Metrology (NIM), located on different campuses that are 40 km apart. In order to compare the optical frequencies of these two Sr OLCs, a 58-km noise canceled fiber link is built to transfer both a 1542-nm transfer laser and a microwave reference from Changping campus to Hepingli campus. Two commercial optical frequency combs (OFCs) with adapted single-branch 698/1542 nm outputs coherently unite the two 698-nm clock lasers and the 1542-nm transfer laser. The fractional instability of the comparison yields 3.1×10-17 at 10000 s averaging time. The measured fractional frequency difference between these two Sr OLCs evaluated to be 1.9 (3.2)×10-17 is within their claimed uncertainties, which shows the consistency of the frequencies of these two Sr OLCs when serving as optical frequency standards. Our remote comparison demonstrates the feasibility of optical clock comparison through long-distance fiber link and contributes to the progress of redefinition of the SI second.
Efficient beam flattening for planar-integrated magneto-optical traps
Authors: Huang Chang-Jiang , Liu Hong-Chen , Chen Liang , Li Chuan-Feng , Guo Guang-Can , Zou Chang-Ling , Xiang Guo-Yong 
Published: February 2025

Abstract
The planar-integrated magneto-optical trap (PIMOT) offers a promising platform for miniaturizing cold atom systems, but its performance and laser-power efficiency are limited by the typically Gaussian profile of the input laser beam. In this work, we present a simplified and cost-effective beam shaping solution to transform the Gaussian input into a flat-top intensity distribution using a compact system of four spherical lenses. The reshaped light field could potentially enhances PIMOT performance by improving the uniformity of the optical radiation pressure and increasing the trap distance from the chip surface. With this approach, we demonstrate a substantial reduction in the optical power required to trap 2.5 × 105
87Rb atoms, down to 30% compared to a standard Gaussian beam input. Our results open the door to more efficient and flexible PIMOT systems for quantum sensing, metrology, and atom-based quantum technology.
Chemical Vapor Deposition of Doped Graphene: Exploring the Role of Solid, Liquid, and Gas Precursors in Tailoring Properties
Authors: Mansoor Majid , Li Luwen , Wang Jiaqi , Shi Qitao , Ullah Sami , Zhang Junjin , Liu Xiangqi , Wang Zhipeng , Zhang Cheng , Yang Xiaoqin , Bachmatiuk Alicja , Martynkova-Simha Grazyna , Rummeli Mark H 
Published: February 2025

Abstract
Graphene is an atomically thin material composed of a single layer of carbon atoms arranged in a hexagonal lattice, which exhibits unique electrical, thermal, and mechanical properties. The intentional introduction of foreign atoms into the structure of graphene by doping is a powerful approach for modifying these properties, making graphene suitable for a range of advanced applications. Among the various synthesis techniques, chemical vapor deposition (CVD) is particularly effective for doping because it allows precise control over the growth conditions and dopant incorporation, outperforming other synthesis strategies in terms of scalability, uniformity, and clean growth. This review examines how solid, liquid, and gaseous precursor types play crucial roles in CVD doping, directly affecting the growth dynamics, doping efficiency, and material quality. By analyzing the mechanisms associated with each precursor form, this review highlights how these strategies address the challenges of achieving consistent and high-quality doped graphene. This discussion provides valuable insight into advancing CVD techniques for producing doped graphene with enhanced properties for cutting-edge applications.
Capacitance Effects of Nanopore Chips on Ionic Current Modulation and Noise Characteristics
Authors: Lin Kabin , Chen Chen , Li Dongxuan , Li Haoyong , Zhou Jinzhu 
Published: February 2025

Abstract
Solid-state nanopores exhibit adjustable pore size, robust chemical and thermal stability, and compatibility with semiconductor fabrication, positioning them as versatile platforms for nanofluidic applications and single-molecule detection. However, their higher noise levels compared to biological nanopores hinder their sensitivity in detecting biomolecules such as DNA and proteins. Enhancing detection sensitivity requires an in-depth understanding of noise sources and strategies for noise reduction. Here, we construct an equivalent circuit model of solid-state nanopores and conduct corresponding experiments to evaluate how chip capacitance, salt concentration, applied voltage, and pore size influence ionic current noise. We find that chip capacitance is the dominant factor affecting ionic current noise, with minimal noise sensitivity to salt concentration below 0.1 M but pronounced increases above this threshold. The pH has little impact on noise, whereas higher applied voltages elevate noise at high salt concentrations. Introducing a SiO2 layer between SiNx and Si significantly reduces chip capacitance; a 1000 nm SiO2 layer reduces capacitance to 7.9 pF, decreasing ionic current noise to 18.7 pA for a 2.2 nm nanopore in 1 M KCl at 40 μm membrane side length and 100 mV and 10 kHz sampling. This reduction in capacitance improves response time and measurement accuracy, marking a critical advancement for high-sensitivity applications of solid-state nanopores.
Optimization assisted probabilistic damage localization of cracks in weld connections of a steel portal frame using electromechanical impedance technique
Authors: Kamal Mayank , Parida Lukesh , Banerjee Sauvik 
Published: February 2025

Abstract
Steel structure members are typically connected through welded connections, that are highly vulnerable to crack development. Therefore, the continuous monitoring of these connections is necessary for early defect detection and to ensure structural stability. Although monitoring approaches such as electromechanical impedance (EMI) have found extensive application in qualitative damage assessment, there is a need for more rigorous EMI-based structural health monitoring (SHM) analysis for sizing and localization of weld damages. In this study a novel methodology is developed that utilizes swarm optimization based on wavelet damage indicators derived from piezo-coupled admittance signatures to experimentally investigate and quantify the amount of crack damages. Initially, a single-story portal steel frame is instrumented with PZTs to gather the admittance signatures in pristine and weld crack damage states. The obtained signatures are then decomposed using discrete wavelet transform (DWT) functions to extract various damage parameters. An objective function has been formulated using the extracted damage parameters like root mean square deviation and DWT parameters such as mean, variance, energy, and entropy. Further, various swarm optimization algorithms like particle swarm optimization (PSO), ant colony optimization, and artificial bee colony optimization (ABC) have been utilized for determining the size and location of the weld crack damage. It has been observed that PSO-based optimization using wavelet coefficients mean achieved 99.904% accuracy, and outperformed other damage parameters in identifying the location of weld crack damages. The proposed methodology demonstrates high efficiency with fewer sensors and has potential real-world uses as a low-cost SHM solution for welded joints in steel structures.
Analysis of breakdown characteristics of GaN-based HEMT by subdividing current components
Authors: Wang Xiao , Lin Zhi-Yu , Zhang Yumin , Wang Jianfeng , Xu Ke 
Published: February 2025

Abstract
In this study, we provided a detailed analysis of HEMTs three-terminal leakage current curves to elucidate the devices breakdown characterization. A comprehensive breakdown curves is collected, and reasonable explanations are offered for phenomena observed in these curves, which challenge conventional assumption regarding the source current IS being buffer leakage current. The leakage current trends of drain current ID, gate current IG and source current IS corresponding to each other under off-state conditions are analyzed in detail within the measurement range. Our findings highlight the significance of gate-side leakage, which cannot be disregarded when investigating the HEMT breakdown mechanism. The characterization method of the breakdown mechanism was optimized by subdividing the leakage current components, and the breakdown mechanism of the HEMT device was revealed by leakage current components.
Artificial electric field algorithm with dynamic neighborhood learning for global optimization
Authors: Lu Qiuli , Cheng Jiatang , Lin Qiuhong 
Published: February 2025

Abstract
Artificial electric field algorithm (AEFA) is a simple yet effective search technique, which has displayed good performance in tackling some optimization problems. However, as the complexity of the problem to be solved increases, AEFA has drawbacks such as premature convergence and insufficient solution accuracy. To mitigate these limitations, a novel variant of AEFA with dynamic neighborhood learning (DNLAEFA) is proposed. In DNLAEFA, a distinctive neighborhood is built for each individual. Then, a dynamic neighborhood learning strategy is adopted to facilitate information exchange between the current individual and its neighbors. Further, a combined parabolic-linear reduction scheme for the electrostatic force is designed based on the observation that calculating the total force consumes a lot of computing resources. Besides, a time-varying attenuation coefficient is employed to regulate the decreasing rate of the Coulomb’s constant, which better balances exploration and exploitation. The performance of DNLAEFA is investigated using 43 benchmark functions with diverse properties and three chaotic time series prediction cases. Simulation results indicate that DNLAEFA is more competitive than six existing AEFAs and 27 well-regarded algorithms.&#xD;
Rogue waves on the periodic background in the reduced Maxwell-Bloch system
Authors: Zhao YiJie , Zhaqilao Q. , Ao Niqi 
Published: February 2025

Abstract
In this paper, the nonlinearization of the Lax pair and the Darboux transformation method are used to construct the rogue wave on the elliptic function background in the reduced Maxwell-Bloch system, which is described by four components nonlinear evolution equations. On the background of the Jacobian elliptic function, we obtain the admissible eigenvalues and the corresponding non-periodic eigenfunctions of the model spectrum problem. Then, with the help of the one-fold Darboux transformation and two-fold Darboux transformation, the rogue waves on dn-periodic background and cn-periodic background are derived, respectively. Finally, the corresponding complex dynamical properties and evolutions of the four components are illustrated graphically by choosing suitable parameters.
Predicted Stable Two-dimensional Semiconductor Materials TiOS with Promising Photocatalytic Properties: First-Principles Calculations
Authors: Zhang Pan , ShihaiFu  , Pu Chunying , Tang Xin , Zhou Dawei 
Published: February 2025

Abstract
TiO2 is a well-known photocatalyst with a band gap of 3.2 eV, yet its ability to absorb light is limited to the short wavelengths of ultraviolet light. To achieve a more effective photocatalytic material, we have designed two-dimensional semiconductor TiOS materials using swarm intelligence algorithms combined with first-principles calculations. Three stable low-energy structures with space groups of P21/m, P3m1, and P21/c were identified. Among these structures, the Janus P3m1 phase is a direct bandgap semiconductor, while the P21/m and P21/c phases are indirect bandgap semiconductors. Utilizing the accurate hybrid density functional HSE06 method, the band gaps of the three structures were calculated to be 2.34 eV (P21/m), 2.24 eV (P3m1), and 3.22 eV (P21/c), respectively. Optical calculations reveal that TiOS materials exhibit a good light harvesting capability in both visible and ultraviolet spectrum ranges. Moreover, the photocatalytic calculations also indicate that both P21/m and P3m1 TiOS can provide a strong driving force for converting H2O to H2 and O2 in an acidic environment with pH=0. The structural stabilities, mechanical properties, electronic structures and hydrogen evolution reaction activity were also discussed in detail. Our research suggests that two-dimensional TiOS materials have potential applications in both semiconductor devices and photocatalysis.
Development and Research of a Ti/TiN/TiAlN Hard Coating
Authors: Zlatareva Ekaterina , Chitanov Vasiliy , Kolaklieva Lilyana , Kolchev Stefan , Cholakova Tetyana , Pashinski Chavdar , Hribar Tine , Čekada Miha , Kakanakov Roumen 
Published: February 2025

Abstract
The present study is a part of a larger project of developing multicomponent hard, wear-resistant coatings for industrial applications. A Ti/TiN/TiAlN hard coating with improved mechanical properties and adhesion was obtained as a result of the selected technological process.
The coating was deposited via unbalanced magnetron sputtering in closed magnetic field. Its thickness was determined by the ball-cratering method and roughness was measured using a contact profilometer, and a confocal optical microscope. Nanohardness of 32.3 GPa and effective modulus of elasticity of 422 GPa were determined by nanoindentation. No cracks and critical failures were detected during the scratch test up to 30 N. Scratching coefficient of 0.12 was measured against diamond indenter. The morphological examination by SEM showed a dense structure without significant defects. The elemental composition of the main layer determined by SEM/EDS was: N – 42 at. %, Al – 26 at. %, and Ti – 32 at. %.
The coating considered could be used as a basis for the development of multicomponent coatings, including an application as a sublayer in multilayer coatings. As a stand-alone coating, it is applicable for deposition on cutting tools for dry metal processing.
Atlantic multidecadal variability control on European sea surface temperatures is mainly externally forced
Authors: Barghorn L , Börgel F , Gröger M , Meier H. E. M. 
Published: February 2025

Abstract
The semi-enclosed European seas (Baltic Sea, North Sea, Mediterranean Sea, and Black Sea) have been among the fastest warming seas worldwide during the last decades. Projections of future temperature trends can provide essential information for decision makers, but they are subject to a number of uncertainties. One important source of uncertainty is the rather high internal climate variability in that region. Separating internal variability and forced trends is therefore paramount. Particularly powerful tools for this separation are Single-Model Initial-condition Large Ensembles (SMILEs). In such ensembles, the same model is run multiple times with similar forcing but varying initial conditions, resulting in different realizations of internal variability. This study employs two SMILEs to decompose European sea surface temperatures (SSTs) into forced trends and internal variability and to investigate whether and how the latter is affected by the Atlantic Multidecadal Variability (AMV) in the historical period and different future emission scenarios. It is shown that on a decadal scale, the effect of the AMV on the European SSTs will stay important, especially in lower emission scenarios. However, on longer time scales, forced trends will be much higher and in all but the lowest emission scenario considered, more than 2 °C warming compared to 1950 are very likely to be reached until the end of the century in all semi-enclosed European seas.
Interlayer Magnetic Coupling in FePS3 and NiPS3 Stacked Bilayers from First Principles
Authors: Brumme Thomas , Leon Andrea , Heine Thomas , Costa Beatriz 
Published: February 2025

Abstract
Single layers of transition-metal thiophosphates (2D-TMPS$_{3}$) van der Waals magnets are an ideal platform for studying antiferromagnetic interactions in &#xD;two dimensions. However, the magnetic coupling mechanism between two or more individual layers of these materials remains mostly unexplored.&#xD;This study presents a density-functional based analysis and analytical models to describe the magnetic configurations of FePS$_{3}$ and NiPS$_{3}$ stacked bilayers. We explore the interplay between magnetic configurations and stacking shift, therefore identifying the mechanisms that result in either ferromagnetic or antiferromagnetic coupling between layers. Our findings indicate that the stacking with the lowest energy is metal-dependent, and the interlayer magnetic configuration (ferromagnetic or antiferromagnetic) varies based on the stacking type and the metal involved. Using an Ising-Hamiltonian model and a tight-binding model based on Wannier functions, we show that interlayer exchange interactions must be considered up to the third nearest neighbor and to elucidate the superexchange mechanism for the NiPS$_{3}$ system.
Reviewing the critical role of coping strategies in enhancing mental health and resilience in disaster survivors
Authors: Olonilua Oluponmile O , Ogbeleakhu Aliu John O 
Published: February 2025

Abstract
In this literature review, the critical role of coping strategies in enhancing mental health and resilience among disaster survivors is examined. Natural disasters, such as hurricanes, earthquakes, wildfires, tsunamis and floods, have been known to inflict significant psychological distress on affected populations. Similarly, man-made disasters, such as terrorist attacks, civil wars and industrial accidents, can lead to lasting mental health challenges for survivors. The focus of this paper is primarily on coping strategies and their impact on mental health and resilience among those affected by disasters. A comprehensive search was conducted using academic databases, including PubMed, PsycINFO, Web of Science, Scopus and Google Scholar, to gather peer-reviewed articles published in recent times. Search terms such as “coping strategies,” “mental health,” “resilience,” “disaster survivors,” “natural disasters” and “man-made disasters” were utilized to refine the search results. A total of 210 articles were initially identified, and 30 articles were retained for further review based on their methodological rigor, relevance to the topic and diversity of coping strategies examined. This study found that problem-focused, emotion-focused, social support and avoidance coping are crucial for understanding how to mitigate psychological distress and promote recovery after disasters. Additionally, it identified several other coping strategies, including mindfulness-based practices, cognitive-behavioral therapy (CBT), cultural coping and proactive coping. The novel contribution of this review lies in its emphasis on the intersection of coping strategies with diverse disaster experiences, offering implications for tailored public health interventions. This study is not only timely but also relevant given the increasing frequency of both natural and man-made disasters, and the growing recognition of the need for effective mental health strategies in disaster response and recovery.
Healthcare in an unstable climate: the case for health climate change resilience
Authors: Cummins Paul J 
Published: February 2025

Abstract
As a response to the well-documented projects for how anthropogenic climate change (ACC) will negatively impact human health, health and bioethics scholars have argued for the urgency of mitigating ecological damage healthcare systems cause. Mitigation is not the only focus because ACC is already affecting health. Under current plans to reduce emissions, the sixth Intergovernmental Panel on Climate Change (IPCC) predicts warming to exceed safe levels. Climate health scholars have begun to advocate for climate change adaptation (CCA) as it is essential to anticipate and prepare for how extreme ACC will affect health. CCA strategies that emphasize continuity of operation in the face of extreme weather events dominate. These plan project the future climate to be much like the present one, just worse, and assume an unwarranted future of climate stability. Recent scientific evidence indicate ACC is accelerating faster than climate models predicted. We may be moving from an era of climate stability to an era of instability. The dominance of CCA in preparing for ACC will, at best, preserve the status quo for population health at the expense of envisioning initiatives to help all people live healthier lives in a radically changed world. To prepare for an unstable climate future, healthcare should adopt a stance of climate change resilience (CCR) that prioritizes public health initiatives to secure healthier lives among a broader population segment.