bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pulsed rise and growth of the Tibetan Plateau to its northern margin since ca. 30 Ma
Authors: Wang Weitao , Zhang Peizhen , Garzione Carmala N. , Liu Caicai , Zhang Zhuqi , Pang Jianzhang , Wang Yizhou , Zheng Dewen , Zheng Wenjun , Zhang Huiping 
Published: February 2022

SignificanceThe formation of the Qaidam basin in the northeastern Tibet marked the onset of crustal deformation that propagated from the Indo-Asia collision zone to the northern margins of the Tibetan Plateau during the Cenozoic time. This paper presents magnetostratigraphies constrained by apatite fission-track ages that document the formation of the Qaidam basin at ca. 30 Ma, much younger than previous estimates of 65 to 50 Ma. Armed with chronology, the Qaidam basin–provenance analyses reveal pulsed deformation of the northeastern margin of the Tibetan Plateau beginning first at ca. 30 Ma and subsequently at ca. 10 Ma, timing suggesting close links to the removal of the mantle lithosphere beneath different portions of the Tibetan Plateau.
Going global against the tide
Authors: Díaz-Cintas Jorge , Zhang Juan 
Published: February 2022

Abstract
With the rapid development of digitization and the emergence of social networks and streaming platforms,
audiovisual translation (AVT) has become one of the most prolific expressions of global communication in today’s society, able to
overcome linguistic barriers when disseminating culture across the world. While audiovisual productions originally shot in English
seem to be able to take full advantage of this situation, China’s domestic programs frequently encounter more challenges to make
it overseas. Adopting a primarily translational approach, this paper borrows the concept of “cultural discount,” coined by Hoskins and Mirus (1988), to capture the notion that audiovisual productions are rooted
in one culture and, therefore, may have diminished appeal among viewers from other communities. The study holds that the degree of
cultural discount audiovisual productions may encounter when exported depends on numerous factors, which are explored through
examples of recently localized films and TV series of Chinese origin.
Transcodic marks in exam discourse in French
Authors: Steffens Marie 
Published: February 2022

Abstract
The present article focuses on semantic-pragmatic and sociolinguistic factors explaining the use of non-French words and
constructions in the exolingual communicative context of French exams. On the basis of an oral and written exam corpus, this article looks
into different types of cross-linguistic interactions to question the boundaries of codeswitching (CS) and propose a prototypical approach.
Special attention is given to the correlations between the embedded languages (in this case, English or Dutch) and the type of influence
these languages have on the participants’ French discourse. By taking into account the distribution of cross-linguistic interactions in the
discourse of different groups of participants divided according to the levels of the European Framework of Reference for Languages (CEFR 2001), this study shows that, even if lower level participants resort to other languages to
compensate for lexical deficiencies in French, they also choose to resort to non-French lexemes due to semantic and sociolinguistic factors,
as is the case for advanced level speakers. From the perspective of language assessment, the notion of lexical error is central. Based on a
typology of embedded units, this study aims at identifying the factors of acceptability of different types of transcodic marks.
How sentence type influences the interpretation of Spanish future constructions
Authors: Rosemeyer Malte , Sansiñena María Sol 
Published: February 2022

AbstractIt is well known that Spanish futurizing morphology is frequently used not to express futurity, but instead to formulate a hypothesis, i.e. express epistemic modality. Although this is possible with both synthetic or periphrastic future marking, the synthetic future tense is more likely to express an epistemic reading than the periphrastic future. This paper explores the relationship between futurizing morphology and sentence type on the basis of a quantitative analysis of aboutn = 2,700 tokens of synthetic and periphrastic ‘future’ constructions in spoken conversations from Madrid, Buenos Aires and Santiago de Chile. On the basis of a bottom-up classification of these tokens regarding their potential to express modal meanings, we demonstrate that polar and partial futurizing interrogatives are more likely to display modal meanings and associated rhetorical effects than futurizing declaratives. This effect is even stronger for synthetic future constructions, due to a conventionalization of specific form-function pairings. Finally, we also document substantial dialectal variation in the use of futurizing morphology.
Eavesdropping attack on a continuous-variable source-independent quantum random number generator with fluctuating local oscillator
Authors: Zhou Han , Zheng Ziyong , Huang Luyu , Wang Xiangyu , Chen Ziyang , Yu Song 
Published: February 2022

Abstract
In the practical continuous-variable source-independent quantum random number generator, it is usually necessary to introduce a local oscillator to amplify the received quantum signal due to its weak intensity. However, the intensity fluctuation of the local oscillator itself will lead to a deviation in evaluating the randomness without monitoring the local oscillator in real time and calibrating each output measurement, which will inevitably open a loophole for the eavesdropper to intercept the information of generated random numbers. Here, we present an eavesdropping attack utilizing this loophole. The results of numerical simulation indicate that when the proposed eavesdropping attack is performed, the evaluated extractable randomness value will be compromised severely, which will impact the communication security under the practical conditions. Meanwhile, we analyze the effects of practical imperfections in the presence of local oscillator fluctuation. Taking this as a reference, we may consider how to perfect the experimental system in practice and how to deal with this kind of eavesdropping attack.
Metal–non-metal transition in lead–bismuth eutectic
Authors: Kondratyev A M , Korobenko V N , Rakhel A D 
Published: February 2022

Abstract
Thermodynamic functions and electrical resistivity of Pb–Bi eutectic alloy have been measured over wide ranges of specific volume and pressure in the liquid and gaseous state. The experimental data show a crossover from metallic to insulating behavior in the electrical resistivity of the alloy when its specific volume increases. It is found that in the crossover region the constant volume temperature coefficient of resistivity changes sign from positive to negative and passes through zero at a value of the specific volume which is 2.4 times larger than that in normal state. The second salient feature of the alloy revealed by these experiments is that the isochores plotted in the specific internal energy—pressure plane are straight lines. Based on these experimental data and using an earlier developed approach, an equation of state (EOS) of the alloy has been constructed whose accuracy is determined mainly by the errors of the measurements. It is shown that this EOS can be used to obtain direct estimates of the specific volume and pressure at the critical point of the liquid–gas transition as well as the critical volume for the metal–non-metal (M–NM) transition observed in this eutectic. The results indicate that the critical specific volumes for these two transitions are equal, and the M–NM transition can be described by the classical percolation theory.
Hidden surface photovoltages revealed by pump probe KPFM
Authors: Aubriet Valentin , Courouble Kristell , Bardagot Olivier , Demadrille Renaud , Borowik Łukasz , Grévin Benjamin 
Published: February 2022

Abstract
In this work, we use pump-probe Kelvin probe force microscopy (pp-KPFM) in combination with non-contact atomic force microscopy (nc-AFM) under ultrahigh vacuum, to investigate the nature of the light-induced surface potential dynamics in alumina-passivated crystalline silicon, and in an organic bulk heterojunction thin film based on the PTB7-PC71BM tandem. In both cases, we demonstrate that it is possible to identify and separate the contributions of two different kinds of photo-induced charge distributions that give rise to potential shifts with opposite polarities, each characterized by different dynamics. The data acquired on the passivated crystalline silicon are shown to be fully consistent with the band-bending at the silicon-oxide interface, and with electron trapping processes in acceptors states and in the passivation layer. The full sequence of events that follow the electron–hole generation can be observed on the pp-KPFM curves, i.e. the carriers spatial separation and hole accumulation in the space charge area, the electron trapping, the electron–hole recombination, and finally the electron trap-release. Two dimensional dynamical maps of the organic blend photo-response are obtained by recording the pump-probe KPFM curves in data cube mode, and by implementing a specific batch processing protocol. Sample areas displaying an extra positive SPV component characterized by decay time-constants of a few tens of microseconds are thus revealed, and are tentatively attributed to specific interfaces formed between a polymer-enriched skin layer and recessed acceptor aggregates. Decay time constant images of the negative SPV component confirm that the acceptor clusters act as electron-trapping centres. Whatever the photovoltaic technology, our results exemplify how some of the SPV components may remain completely hidden to conventional SPV imaging by KPFM, with possible consequences in terms of photo-response misinterpretation. This work furthermore highlights the need of implementing time-resolved techniques that can provide a quantitative measurement of the time-resolved potential.
Towards accurate facial nerve segmentation with decoupling optimization
Authors: Dong Bo , Lu Chenxi , Hu Xi , Zhao Yang , He Hongjian , Wang Jing 
Published: February 2022

Abstract
Robotic cochlear implantation is an effective way to restore the hearing of hearing-impaired patients, and facial nerve recognition is the key to the operation. However, accurate facial nerve segmentation is a challenging task, mainly for two key issues: (1) the facial nerve area is very small in image, and there are many similar areas; (2) low contrast of the border between the facial nerve and the surrounding tissues increases the difficulty. In this work, we propose an end-to-end neural network, called FNSegNet, with two stages to solve these problems. Specifically, in the coarse segmentation stage, we first adopt three search identification modules to capture small objects by expanding the receptive field from high-level features and combine an effective pyramid fusion module to fuse. In the refine segmentation stage, we use a decoupling optimization module to establish the relationship between the central region and the boundary details of facial nerve by decoupling the boundary and center area. Meanwhile, we feed them into a spatial attention module to correct the conflict regions. Extensive experiments on the challenging dataset demonstrate that the proposed FNSegNet significantly improves the segmentation accuracy (0.858 on Dice, 0.363 mm on 95% Hausdorff distance), and reduces the computational complexity (13.33G on FLOPs, 9.86M parameters).
Phase-space representation of diffraction in time: analytic results
Authors: Barbier Maximilien , Goussev Arseni 
Published: February 2022

Abstract
Diffraction in time manifests itself as the appearance of probability-density fringes when a matter wave passes through an opaque screen with abrupt temporal variations of transmission properties. Here we analytically describe the phase-space structure of diffraction-in-time fringes for a class of smooth time gratings. More precisely, we obtain an analytic expression for the Husimi distribution representing the state of the system in the case of time gratings comprising a succession of Lorentzian-like slits. In particular, for a double-slit scenario, we derive a simple and intuitive expression that accurately captures the position of interference fringes in phase space.
Gauge protection in non-abelian lattice gauge theories
Authors: Halimeh Jad C , Lang Haifeng , Hauke Philipp 
Published: February 2022

Abstract
Protection of gauge invariance in experimental realizations of lattice gauge theories based on energy-penalty schemes has recently stimulated impressive efforts both theoretically and in setups of quantum synthetic matter. A major challenge is the reliability of such schemes in non-abelian gauge theories where local conservation laws do not commute. Here, we show through exact diagonalization (ED) that non-abelian gauge invariance can be reliably controlled using gauge-protection terms that energetically stabilize the target gauge sector in Hilbert space, suppressing gauge violations due to unitary gauge-breaking errors. We present analytic arguments that predict a volume-independent protection strength V, which when sufficiently large leads to the emergence of an adjusted gauge theory with the same local gauge symmetry up to least a timescale

∝

V
/

V

0

3

. Thereafter, a renormalized gauge theory dominates up to a timescale ∝exp(V/V
0)/V
0 with V
0 a volume-independent energy factor, similar to the case of faulty abelian gauge theories. Moreover, we show for certain experimentally relevant errors that single-body protection terms robustly suppress gauge violations up to all accessible evolution times in ED, and demonstrate that the adjusted gauge theory emerges in this case as well. These single-body protection terms can be readily implemented with fewer engineering requirements than the ideal gauge theory itself in current ultracold-atom setups and noisy intermediate-scale quantum (NISQ) devices.
Two-fluid hydrodynamics of cold atomic bosons under the influence of quantum fluctuations at non-zero temperatures
Authors: Andreev Pavel A 
Published: February 2022

Abstract
Ultracold Bose atoms is the physical system existing at the small finite temperatures, where the quantum and nonlinear phenomena play crucial role. Bosons are considered to be composed of two different fluids: the Bose–Einstein condensate and the normal fluid (the thermal component). The extended hydrodynamic models are obtained for each fluids, where the pressure evolution equations and the pressure flux third rank tensor evolution equations are obtained along with the continuity and Euler equations. It is found that the pressure evolution equation contains zero contribution of the short-range interaction. The pressure flux evolution equation contains the interaction which simplifies to the quantum fluctuations in the zero temperature limit. The structure of the third rank tensor describing this interaction is obtained in the regime of small temperature and weak interaction. The model is derived via the straightforward calculation of evolution of macroscopic functions using the microscopic many-particle Schrodinger equation in the coordinate representation. Finally, the two-fluid hydrodynamics is constructed in form of four equations for each fluid in order to give model describing the quantum fluctuations in BEC and the thermal effects in the normal fluid.
Transit Timing Variation of XO-3b: Evidence for Tidal Evolution of Hot Jupiter with High Eccentricity
Authors: Yang Fan , Wei Xing 
Published: February 2022

Abstract
Observed transit timing variation (TTV) potentially reveals the period decay caused by star-planet tidal interaction which can explain the orbital migration of hot Jupiters. We report the TTV of XO-3b, using TESS observed timings and archival timings. We generate a photometric pipeline to produce light curves from raw TESS images and find the difference between our pipeline and TESS PDC is negligible for timing analysis. TESS timing presents a shift of 17.6 minutes (80σ), earlier than the prediction from the previous ephemeris. The best linear fit for all timings available gives a Bayesian Information Criterion (BIC) value of 439. A quadratic function is a better model with a BIC of 56. The period derivative obtained from a quadratic function is −6.2 × 10−9 ± 2.9 × 10−10 per orbit, indicating an orbital decay timescale 1.4 Myr. We find that the orbital period decay can be well explained by tidal interaction. The “modified tidal quality factor”

Q

p

′

would be 1.8 × 104 ± 8 × 102 if we assume the decay is due to the tide in the planet; whereas

Q

*

′

would be 1.5 × 105 ± 6 × 103 if tidal dissipation is predominantly in the star. The precession model is another possible origin to explain the observed TTVs. We note that the follow-up observations of occultation timing and radial velocity monitoring are needed for fully discriminating the different models.
Open craniocerebral hematoma imaging based on near-infrared spectroscopy
Authors: Li Yanyan , Luo Haijun , Fan Xinyan , Lv Yi , Xie Xiru , Luo Xia , Guo Pan 
Published: February 2022

Abstract
Near-infrared spectroscopy (NIRS) is a noninvasive, portable and low-cost technique, giving it great advantages for the early diagnosis of craniocerebral hematoma. More information on a hematoma can help medical staff to classify a patient’s condition in order to give more timely and effective treatment. Based on the principle of NIRS, in this paper a simulation of brain tissue is carried out in COMSOL finite element simulation software and brain tissue models are constructed of single-target hematoma, dual-target hematoma and hematomas at different depths. An array scanning single-source multi-detector is used to detect optical information and images are reconstructed and optimized by an imaging algorithm and the derivative peak sharpening method. The results show that a single-target hematoma can be accurately imaged, and the offset of the coordinate is within 1.4 mm,. The accuracy of dual-target hematoma imaging is limited, but derivative peak sharpening and multidirectional measurement can optimize the imaging effect. The array scanning detector can detect information about hematomas situated up to a depth of about 14 mm in the subcutaneous tissue.
Long-term changes in functional connectivity improve prediction of responses to intracranial stimulation of the human brain
Authors: A Papasavvas Christoforos , Neal Taylor Peter , Wang Yujiang 
Published: February 2022

Abstract

Objective. Targeted electrical stimulation of the brain perturbs neural networks and modulates their rhythmic activity both at the site of stimulation and at remote brain regions. Understanding, or even predicting, this neuromodulatory effect is crucial for any therapeutic use of brain stimulation. The objective of this study was to investigate if brain network properties prior to stimulation sessions hold associative and predictive value in understanding the neuromodulatory effect of electrical stimulation in a clinical context. Approach. We analysed the stimulation responses in 131 stimulation sessions across 66 patients with focal epilepsy recorded through intracranial electroencephalogram (iEEG). We considered functional and structural connectivity features as predictors of the response at every iEEG contact. Taking advantage of multiple recordings over days, we also investigated how slow changes in interictal functional connectivity (FC) ahead of the stimulation, representing the long-term variability of FC, relate to stimulation responses. Main results. The long-term variability of FC exhibits strong association with the stimulation-induced increases in delta and theta band power. Furthermore, we show through cross-validation that long-term variability of FC improves prediction of responses above the performance of spatial predictors alone. Significance. This study highlights the importance of the slow dynamics of FC in the prediction of brain stimulation responses. Furthermore, these findings can enhance the patient-specific design of effective neuromodulatory protocols for therapeutic interventions.
Validation of theory-based integrated modeling and new insights for a high-performance steady-state scenario with only RF heating on EAST
Authors: Zhai X.M. , Chen J.L. , Xiang N. , Gong X.Z. , Huang J. , Qian J.P. , Xu G.S. , Li M.H. , Liu H.Q. , Zang Q. , Zhang T. , Li G.S. , Wu M.F. , Jin Y.F. 
Published: February 2022

Abstract
Theory-based integrated modeling is validated against high-performance steady-state core plasmas on EAST in the high poloidal beta (β
p) regime with only RF heating. Reasonably good agreement between the modeling results and experimental measurements is obtained not only for the temperature profiles but also for the 11-chord line-integrated densities and Faraday angles for the first time. This validation effort demonstrates that the safety factor profiles can be non-reversed in high β
p experiments on EAST. The inaccessibility for LH waves observed in conventional ray-tracing simulations for some high β
p experiments is effectively mitigated by including the modeling of wave propagation in the scrape-off layer. The observed confinement improvement with density increasing (Gong et al 2019 Nucl. Fusion
59 086030) can be attributed to the reduction of turbulent transport by the collisional stabilization in trapped electron modes, rather than by the Shafranov shift stabilization effect which was proposed to be the major cause of confinement enhancement in previous literature. Based on the successful validation and newly gained physical insights, predictive modeling is performed for core plasma considering the future upgrade capacity of LH wave system and shows that the high-performance steady-state H-mode scenario on EAST can be extended to the regime with q
95 to be ITER relevant.
Numerical simulation of mid-deep geothermal system based on dynamic mesh adaptive finite element
Authors: Ma Zhonghua , Cheng Huiyong , Li Ying , Liu Guixin 
Published: February 2022

Abstract
Numerical simulation is an important tool in the study of geothermal science and even the development and utilization of geothermal resources. Aiming at the development of middle and deep geothermal resources, this paper takes the numerical simulation of U-shaped heat exchange well as the research object. Based on Fourier’s law and heat conduction equation, the dynamic mesh adaptive finite element method is used to simulate the heat transfer process. The results show that the fixed mesh non-adaptive finite element method lacks a feasible error control mechanism, and the adaptive high-order finite element method with dynamic mesh and adaptive time step control can effectively simulate the process of geothermal energy transmission.
Imbalanced Traffic Accident Text Classification Based on Bert-RCNN
Authors: Yuan Shijin , Wang Qixuan 
Published: February 2022

Abstract
Traffic is the signs of urban development, and traffic accidents have a particularly large impact on road conditions. Because traffic accidents are recorded in text, classifying the severity of traffic accidents can not only unify the classification standards, but also greatly help query and prediction of traffic accidents. The frequency of daily minor traffic accidents is much higher than that of serious traffic accidents, so this paper proposes an effective algorithm and model for categorizing imbalanced Chinese traffic accident texts based on severity. Firstly, we establish a standard for refined classification granularity combining expert knowledge, and propose unique accuracy standards to verify the impact of the processed dataset on the model. Then the noise on the dataset is removed, and finally input the text into Bidirectional Encoder Representations from Transformers (BERT) model uses the Recurrent Convolutional Neural Network (RCNN) model as a classifier for fine-tuning. By comparing with the results of other classification methods, it is verified that our algorithm and model have the best accuracy.