bluuebunny/crossref_metadata_2025_split huggingface dataset:
Immunogenetic-pathogen networks shrink in Tome’s spiny rat, a generalist rodent inhabiting disturbed landscapes
Authors: Fleischer Ramona , Eibner Georg Joachim , Schwensow Nina Isabell , Pirzer Fabian , Paraskevopoulou Sofia , Mayer Gerd , Corman Victor Max , Drosten Christian , Wilhelm Kerstin , Heni Alexander Christoph , Sommer Simone , Schmid Dominik Werner 
Published: February 2024

AbstractAnthropogenic disturbance may increase the emergence of zoonoses. Especially generalists that cope with disturbance and live in close contact with humans and livestock may become reservoirs of zoonotic pathogens. Yet, whether anthropogenic disturbance modifies host-pathogen co-evolutionary relationships in generalists is unknown. We assessed pathogen diversity, neutral genome-wide diversity (SNPs) and adaptive MHC class II diversity in a rodent generalist inhabiting three lowland rainforest landscapes with varying anthropogenic disturbance, and determined which MHC alleles co-occurred more frequently with 13 gastrointestinal nematodes, blood trypanosomes, and four viruses. Pathogen-specific selection pressures varied between landscapes. Genome-wide diversity declined with the degree of disturbance, while MHC diversity was only reduced in the most disturbed landscape. Furthermore, pristine forest landscapes had more functional important MHC–pathogen associations when compared to disturbed forests. We show co-evolutionary links between host and pathogens impoverished in human-disturbed landscapes. This underscores that parasite-mediated selection might change even in generalist species following human disturbance which in turn may facilitate host switching and the emergence of zoonoses.
The complexity of pluralistic ignorance in Republican climate change policy support in the United States
Authors: Dixon Graham , Clarke Christopher , Jacquet Jeffrey , Evensen Darrick T. N. , Hart P. Sol 
Published: February 2024

Abstract
Most Americans fail to recognize widespread public support for climate change action. Here we investigate how this phenomenon differs for Republican supporters versus opponents of several climate change policies. Surveying a representative sample of Republican voters (N = 1000), we find that misperception of in-group support for climate action is primarily restricted to Republicans already opposed to action. Specifically, those in the minority (i.e., Republicans opposed to climate action) were more likely to erroneously perceive other Republicans as holding views on climate change policy similar to their own. While Republican supporters recognize that most Republicans support climate change policy, they may be discouraged from expressing their support due to an information environment disproportionately portraying Republicans as opposed to climate change action.
VLBI position variability of AGNs is inversely correlated with their photometric variability
Authors: Lambert S. , Secrest N. J. 
Published: February 2024

Aims. The stability of the International Celestial Reference Frame (ICRF), realized through geodetic very long baseline interferometry (VLBI) positions of thousands of extragalactic objects, is dependent on the individual positional stability of these objects. It has been recently shown that the prevalence of offsets between the VLBI positions of ICRF objects and their Gaia optical positions, which limit the optical-radio reference frame tie, is inversely correlated with optical photometric variability, suggesting that photometrically variable objects may be more positionally stable. In this work, we determine the relationship between VLBI position stability of ICRF objects and optical-radio position offsets as well as optical photometric variability.
Methods. We created multi-epoch geodetic VLBI solutions for a sample of 520 ICRF sources that have sufficient data to determine the variability in their VLBI positions over time. We compared this position variability with the fractional photometric variability provided by the Gaia extragalactic source catalog, the Gaia-ICRF optical-radio position offsets, the uncertainty-normalized position offsets, and optical BP-RP color as well as with possible confounders such as optical magnitude, VLBI/Gaia position error, and redshift. We determined the relationship between VLBI position stability and γ-ray detection by the Fermi Large Area Telescope (LAT), and we determined how the VLBI position and optical flux variabilities correlate with the spectral classification of our sample, considering flat spectrum radio quasars (FSRQs), quasi-stellar objects, BL Lacs, Seyfert, and gigahertz-peaked spectrum radio sources or compact-steep-spectrum radio sources.
Results. We found that VLBI astrometric variability is (i) negatively correlated with optical flux variability, (ii) positively correlated with optical-radio offsets, (iii) negatively correlated with optical color index BP-RP, and (iv) negatively correlated with γ-ray detection. We also found that the most positionally stable sources are among the FSRQ and BL Lac classes. In other words, redder, photometrically variable sources have the most stable VLBI positions, the smallest optical-radio position offsets, and the highest rate of γ-ray detection, and these sources tend to be spectrally classified as blazars.
Conclusions. Our results are consistent with the most positionally stable sources being blazars, a class of object in which the jet is oriented close to the line of sight and where relativistic beaming increases photometric variability and minimizes the projected offset between the optical and radio positions. Our study should therefore orient future geodetic VLBI observing programs preferentially toward sources with high photometric variability because these sources are predicted to have better VLBI position stabilities and smaller optical-radio position offsets, improving the stability of the celestial reference frame axes.
Theoretical study of the O(3P) + CN(X2Σ+) → CO(X1Σ+) + N(2D)/N(4S) reactions
Authors: Lu Dandan , Alves Márcio O. , Galvão Breno R. L. , Guo Hua 
Published: February 2024

The barrierless exothermic reactions between atomic oxygen and the cyano radical, O(3P) + CN(X2Σ+) → CO(X1Σ+) + N(2D)/N(4S), play a significant role in combustion, astrochemistry, and hypersonic environments. In this work, their dynamics and kinetics are investigated using both wave packet (WP) and quasi-classical trajectory (QCT) methods on recently developed potential energy surfaces of the 12A′, 12A,″ and 14A″ states. The product state distributions in the doublet pathway obtained with the WP method for a few partial waves show extensive internal excitation in the CO product. This observation, combined with highly oscillatory reaction probabilities, signals a complex-forming mechanism. The statistical nature of the reaction is confirmed by comparing the WP results with those from phase space theory. The calculated rate coefficients using the WP (with a J-shifting approximation) and QCT methods exhibit agreement with each other near room temperature, 1.77 × 10−10 and 1.31 × 10−10 cm3 molecule−1 s−1, but both are higher than the existing experimental results. The contribution of the quartet pathway is small at room temperature due to a small entrance channel bottleneck. The QCT rate coefficients are further compared with experimental results above 3000 K, and the agreement is excellent.
Measuring L1 Chinese speakers’ anxiety when completing an English as L2 video narration task
Authors: Wang Qiong , Li Shaofeng , East Martin 
Published: February 2024

Abstract
The present study investigated the nature of Chinese as First Language (L1) speakers’ anxiety when completing an
oral task in English as Foreign Language (L2). Chinese second-year university students (n = 96) performed a video
narration task and completed questionnaires measuring their trait anxiety, foreign language anxiety, and task anxiety. Exploratory
factor analysis identified the underlying sub-facets of the task anxiety construct, including language-related difficulties,
environment-related anxiety, setting-related anxiety and physiological symptoms. Language-related difficulties explained the
largest amount of variance and emerged as the most influential factor. Structural equation modelling demonstrated that task
anxiety was an independent construct subject to direct influence from foreign language anxiety and indirect influence from trait
anxiety. Findings suggest that task anxiety is a context-specific construct that warrants distinct attention from teachers and
researchers. Implications for helping students to cope with anxiety in task-based pedagogy and practice are discussed.
Charting literary translator collaborations in digital contexts
Authors: Marin-Lacarta Maialen 
Published: February 2024

Abstract
This study explores collaboration in literary translation, suggesting a wider understanding of the translation
process to also examine collaboration in various stages such as text selection, attracting publishers, self-publishing or
promoting translations. Drawing on ethnographic fieldwork conducted for two research projects, the article outlines five literary
translator collectives that have emerged outside of professional associations and that reflect changes in the publishing field. It
discusses their origins, activities and modes of collaboration. The discussion sheds light on the distinct goals of these
collectives, highlighting the diversity between market-oriented and socially driven approaches, their use of digital tools and the
impact of the collaboration in the translation process and publishing sphere. The article underscores the significance of further
research on literary translator collectives. It serves as a foundational exploration, pointing towards future research avenues
into innovative modes of collaboration among literary translators and their influence on the global publishing landscape.
Generalized binary-encounter-Bethe model for electron impact ionization of atoms
Authors: Wang Yuan-Cheng , Jiao Li Guang , Fritzsche Stephan 
Published: February 2024

Abstract
A generalized binary-encounter-Bethe (GBEB) model is proposed to calculate the partial ionization cross sections of all shells. The present model improves the original version of Kim et al (2000 Phys. Rev.A 62 052710) by incorporating a physically constructed effective charge felt by the ejected electron in the empirical factor, which prevents the selection of specific factors for different shells. A generalized relativistic binary-encounter-Bethe (BEB) formula is also proposed and applied to different inner shells of C, Al, Fe, Ar, Ag, Xe, Sn, Pb, and Bi atoms for impact energies from the thresholds up to 106 keV. The present model improves the partial ionization cross sections in the low-energy region compared to other relativistic BEB models. The GBEB partial and total ionization cross sections of the Xe atom are compared with the original BEB results. The present calculations, combined with the contribution from the direct multiple ionization, show good agreement with the experimental measurements in the intermediate- and high-energy ranges. We conclude that the present GBEB model, without any fitting parameters and ad hoc corrections, improves the BEB prediction of partial and total ionization cross sections for a good variety of atomic targets.
Experimental and theoretical Ritz–Rydberg analysis of the electronic structure of highly charged ions of lead and bismuth by optical spectroscopy
Authors: Rosner Michael K , Rehbehn Nils-Holger , Crespo López-Urrutia José R 
Published: February 2024

Abstract
Intra-configuration fine-structure transitions in highly charged ions (HCIs) result in most cases from changes in the coupling of equivalent electrons. They are multipole forbidden to varying degrees and often occur within the optical range. In HCI with semi-filled

n

d

and

n

f

subshells, electrons can in principle couple to states which are energetically close but with very different total angular momenta, e.g.

0
⩽
J
⩽
10

. This gives rise to metastable states with very long lifetimes that exhibit particularly interesting clock transitions or, as in the case of orbital level crossings, acquire a considerable sensitivity to a possible variation of the fine-structure constant α. We investigate both experimentally and theoretically connecting the ground state and adjacent states of Pb XXII to Pb XXXIV and Bi X to Bi XV, respectively, covering complex couplings of electrons in the

4

f

and

5

d

shells. These and others such as

n

d

and

n

f

, which also contain equivalent electrons, are of interest for frequency metrology using quantum logic spectroscopy, for atomic structure and QED theory tests, and for the search for Dark Matter candidates. We infer their level structure, benchmark calculations from two different electronic structure codes, and lay the groundwork for inferring the wavelengths of forbidden transitions of higher multipolarity in the optical and VUV region.
Critical exponents and fluctuations at BEC in a 2D harmonically trapped ideal gas
Authors: Morales-Amador M I , Romero-Rochín V , Paredes R 
Published: February 2024

Abstract
The critical properties displayed by an ideal 2D Bose gas trapped in a harmonic potential are determined and characterized in an exact numerical fashion. Beyond thermodynamics, addressed in terms of the global pressure and volume which are the appropriate variables of a fluid confined in a non-uniform harmonic potential, the density-density correlation function is also calculated and the corresponding correlation length is found. Evaluation of all these quantities as Bose–Einstein condensation (BEC) is approached manifest its critical continuous phase transition character. The divergence of the correlation length as the critical temperature is reached, unveils the expected spatial scale invariance proper of a critical transition. The logarithmic singularities of this transition are traced back to the non-analytic behavior of the thermodynamic variables at vanishing chemical potential, which is the onset of BEC. The critical exponents associated with the ideal BEC transition in the 2D inhomogeneous fluid reveals its own universality class.
Spin-flip excitation and negative energy dispersion in rotating Bose atoms
Authors: Indra Moumita , Mondal Sandip 
Published: February 2024

Abstract
We investigated the excitation spectra for the rotating Bose system in the fractional quantum Hall effect regime considering short-ranged P

o
¨

schl-Teller and long-ranged Coulomb type interaction. We found the anomalous negative dispersion in the excited spectra for Jain’s second and third series, whereas conventional spin-wave positive dispersion is observed in the case of Jain’s first series. The higher order Jain series display negative curvature with roton minima at lower momenta and exhibit spin-wave excitation similar to conventional ferromagnets at higher momenta. This anomalous spin-flip excitonic state of particle-hole pairs arises due to the merging of two types of spin-reversed modes i.e. spin-wave with no change in Landau level (LL) index and spin-flip with decreasing LL index.
Mechanical properties of bilayer WS2 and Graphene-WS2 Hybrid composites by molecular dynamics simulations
Authors: Wu Fan , Tan Huifeng , Palummo Maurizia , Camilli Luca 
Published: February 2024

Abstract
In the present work, by using molecular dynamics (MD) simulations, we investigate the mechanical properties of different nanostructures that may be core elements in next generation flexible/wearable photovoltaic devices, namely double layer WS2 nanosheets (DLNS), graphene/WS2 (layer) composites and graphene/WS2 nanotube (NT) composites. Our results reveal that the mechanical properties of DLNS deteriorate when compared to those of monolayer WS2. Owing to graphene’s reinforcement action, the mechanical properties of graphene/WS2 (layer) composite with both layers deformed are superior than those of WS2, even though inferior than those of bare graphene. If stress is applied only to the graphene layer, the graphene/WS2 composite retains the most of the strength and toughness of monolayer graphene, decreasing the fracture strength and Young’s modulus by only 9.7% and 16.3%, respectively. Similarly, in the case of the graphene/WS2 NT composite the mechanical strength and toughness experience a reduction compared to monolayer graphene, specifically by 15% and 53% for fracture strength and Young’s modulus, respectively. Considering the market’s keen interest in nanomaterials, particularly van der Waals (vdW) ones, for flexible and wearable photovoltaic devices, the findings presented here will significantly enhance the effective utilization of vdW composites.
A TLOT train gearbox fault diagnosis method based on ridge extraction under variable speed conditions
Authors: Hu Zhongshuo , Li Qiang , Yang Jianwei , Yao Dechen , Wang Jinhai 
Published: February 2024

Abstract
Owing to the rapidly varying working conditions of urban rail trains, the rotational speed conditions constantly shift in a short time span. As a key component of the running gear, the gearbox generates non-stationary vibration signals, making it challenging to monitor its health status. To address this challenge, a tacholess order tracking method (TLOT) based on ridge extraction method is proposed in this paper. This method determines the optimal search starting point using the time-frequency Gini coefficient and extracts the time-varying gearbox meshing frequency components from the time-frequency representation results. Furthermore, the TLOT method is utilized to process the strongly time-varying gearbox signal. In the order domain, multiple frequency components are extracted to reconstruct the signal. Simulation and experimental results demonstrate that the proposed method achieves a superior ridge extraction effect on gearbox experimental signals. It accurately converts unstable signals into angular domain stable signals, enhancing the energy aggregation of time-varying unstable signals in the order domain. This approach addresses the problem of weak harmonic component extraction from gearbox signals and effectively reduces interference in the resonance band, realizing fault diagnosis of the gearbox under unstable working conditions.
Lagrangian particle tracking in the presence of obstructing objects
Authors: Wieneke B , Rockstroh T 
Published: February 2024

AbstractVolumetric flow measurement techniques have become the state-of-the-art for characterizing a broad range of different flow fields. Still, certain major limitations are present, which hinders the application of these techniques for some of the more complex flow configurations. In particular, flow measurements involving the presence of obstructing objects require time consuming measurement strategies and careful adjustment of the experimental equipment to avoid inaccurate measurement results. Within this study, these limitations are mitigated by the use of a known object’s shape and position in the form of depth maps for commonly used Lagrangian particle tracking schemes like Shake-the-Box (STB) as well as in volume self-calibration methods. The incorporation of these depth maps is computationally inexpensive and straight forward to implement. In order to evaluate the performance of this novel object-aware Lagrangian particle tracking (OA-LPT) approach, synthetic as well as experimental test data is created and the reconstruction quality is evaluated. It is shown, that OA-LPT is capable of providing full flow-field information, whereas the default STB implementation fails to correctly reconstruct particles in the partly-occluded regions.
DFFRLS-FAUKF: accurate and reliable monorail longitudinal slope identification method
Authors: Liu Zechao , Li Jingzhao , Zheng Changlu , Wang Guofeng 
Published: February 2024

Abstract
Monorail cranes have always played an important role in mine auxiliary transportation systems owing to their excellent transportation performance and are therefore a desirable area in which to apply driverless technologies. However, the low-accuracy recognition of monorail track slopes and the poor reliability of recognition results make it difficult and dangerous to implement fully driverless monorail cranes. Aiming to solve these problems, a method for the accurate identification of longitudinal monorail slopes based on the use of a dynamic forgetting factor for recursive least squares (DFFRLS) and a fuzzy adaptive unscented Kalman filter (FAUKF) is proposed. First, acquired acceleration and velocity data are pre-processed using a rolling window. Second, the real-time longitudinal track-curvature value is calculated using the DFFRLS algorithm with the processed data and an established track-curvature model. Finally, based on existing track-curvature values, dynamic recognition of the monorail track slope is realized using the FAUKF algorithm with a fuzzy control factor, improving the accuracy of track gradient recognition. Experiments show that the DFFRLS-FAUKF algorithm improves the accuracy of track-slope recognition by up to 21.26% and 33.93% on average compared with that of DFFRLS with an adaptive extended Kalman filter (DFFRLS-AEKF) or an adaptive unscented Kalman filter (DFFRLS-AUKF).
Interpretable parallel channel encoding convolutional neural network for bearing fault diagnosis
Authors: Tong Qingbin , Du Shouxin , Jiang Xuedong , Lu Feiyu , Feng Ziwei , Liu Ruifang , Xu Jianjun , Huo Jingyi 
Published: February 2024

Abstract
Interpretability plays a crucial role in the application of neural networks for fault diagnosis. Integrating preprocessing methods into neural networks can enhance interpretability while preserving their ‘end-to-end’ characteristics. However, when only redesigning the first layer, subsequent structures still exhibit limited transparency. Additionally, traditional convolution structure is ill-suited for analyzing the readable feature maps derived from vibration signals. To address these challenges, this paper proposes a novel convolution structure for the parameterized signal processing function of the first-layer convolution kernel. This structure incorporates channel mixing for feature augmentation, designs a condensed feature encoder for aggregating and compressing features channel-by-channel, ensures the interpretability of feature map processing, and obtains condensed feature codes to propose smooth activation layer-wise relevance propagation (SA-LRP) method that to perform interpretability analysis. Additionally, cubic feature screening is implemented for diagnostic classification to improve structural fitness. We design experiments using multiple datasets to test various indicators of the structure. The results confirm that connecting our convolution architecture for subsequent analysis outperforms other convolution architectures for the convolution kernel of the first-layer parameterized signal processing function. The interpretability of the model is evaluated through SA-LRP method and validates the interpretability of the model.