bluuebunny/crossref_metadata_2025_split huggingface dataset:
Correspondences between Hungarian women’s marital names and the
traditional family schema
Authors: Baranyiné Kóczy Judit 
Published: February 2021

Abstract
A marital name makes a statement about women’s
cultural values with respect to their family schemas. In
Hungary, adopting the husband’s full name by marriage is no longer
required, thus women have the opportunity to choose from seven
different name structures. The paper aims to uncover the motivations
behind women’s preference for marital name structures as influenced
by the traditional family schema that they maintain in
their background. Data for this analysis is extracted from a
questionnaire distributed to 533 women, which seek to obtain
information on key elements of the traditional family
schema. Results do not reveal a direct correlation between the
selection of marital names and any single component of the
traditional family schema; however, overall the results
of the survey outline a systematic correspondence between marital
names and women’s conformity or non-conformity to the
traditional family schema. In conclusion, the various
marital name structures reflect diverse family schemas, in
particular, they are representatives of Hungarian women’s different
extent of adherence to the traditional family schema.
Culture-specific elaborations in cross-linguistic studies of metaphors
Authors: Huang Shuping 
Published: February 2021

Abstract
Metaphorical mappings are often shaped by socio-cultural backgrounds of the speakers (Musolff, 2015; Su, 2002; Yu & Jia, 2016). In the present corpus study that compares Chinese and British English metaphors, the metaphor life is a journey specifically – ubiquitous in both languages – is found to have different elaborations. The concepts of difficulty and purpose are highlighted in Chinese metaphors, while change and progress are more salient in British English. From a cultural perspective, the preoccupation of Chinese societies with a goal-oriented life could have contributed to such differences. Beyond that, journey, the source domain from which ideas are drawn, is itself perceived in distinct ways in these two cultural contexts/speech communities. Discrete evaluations and attitudes are reflected in the metaphorical representations of life, which are mapped according to culture-specific assumptions about journey. The inextricable relations between source-internal, target-induced, and context-dependent aspects have all contributed to the diversity of conceptual metaphors.
essentials and valuables
Authors: Chen Eve J. 
Published: February 2021

Abstract
Rice has a long history of being the staple
grain for the Cantonese communities. The prominence of rice is also
captured in the abundance of rice-related idioms in the Cantonese
vernacular. Within the theoretical and analytical framework of
Cultural Linguistics (Sharifian,
2017), this chapter examines the cultural
conceptualizations underlying Cantonese food idioms that contain the
rice-related keywords mai, faan,
and zuk, and discusses the extent of idiomaticity
of these idioms from a Cantonese speakers’ perspective. The analyzed
idioms are collected from eight dictionaries and reference books of
Cantonese colloquial expressions mostly published within the last
two decades and screened through an online survey participated by
147 Cantonese speakers from Guangzhou, Hong Kong, and Macau. The
study discovers that Cantonese speakers often conceptualize various
types of essentials and valuables through the domain of
rice. Specific-level elaborations of these
conceptualizations are embedded in distinctive rice idioms.
Furthermore, through exploring the speakers’ degree of consciousness
about the identified cultural conceptualizations, the extent of
idiomaticity the speakers perceive of the idioms is discussed. In
all, the chapter concludes that Cantonese rice idioms are
instantiations of a complex and dynamic system of culturally
constructed conceptualizations that reflect both the Cantonese
worldviews and the rhetorical creativity of the Cantonese
speakers.
Global diffusion of laws: The case of minimum age of marriage legislation, 1965–2015
Authors: Ebetürk Irem 
Published: February 2021

ABSTRACT
The majority of countries in the world have laws setting the minimum age of marriage at 18 years old. This is a global legislative trend that intensified greatly in the 1990s. What explains this trend? To answer this question, I conduct quantitative analyses of factors influencing legislation setting the minimum age of marriage at 18. I analyse time-series data for 167 countries from 1965 to 2015 to examine which countries were early adopters of legislation. Drawing on world society theory, I theorise that global level institutionalisation of norms concerning women and children is the key to understand the passing of minimum age of marriage laws. Findings indicate that world cultural scripts and the presence of women legislators are the main impetus behind the fight against child marriage. Countries with a Muslim majority are less likely to pass laws setting the minimum age of marriage at 18.
Spatiotemporally resolved characteristics of AC three-dimensional rotating gliding arc at atmospheric pressure
Authors: Chen Zhao , Yu Jinlu , Cheng Weida , Jiang Yongjian , Jiang Luyun , Tian Yu , Zhang Lei 
Published: February 2021

Abstract
Based on gliding arc discharge, a novel aero-engine combustor head is designed, which can realize three-dimensional rotating gliding arc discharge in turbulent flow field at atmospheric pressure. The spatiotemporally resolved characteristics and discharge modes of gliding arc discharge are studied, including gliding discharge (G-D) mode, breakdown discharge (B-D) mode, multi-cycle B-D (MB-D) mode, short-cutting discharge (SC-D) mode. And the conversion between different discharge modes are discussed by using optical and electrical parameters synchronous observation. In the G-D mode, the discharge voltage and current show sinusoidal variation, and the current amplitude is about several 100 mA. In B-D mode and MB-D mode, the current waveform appears as nanosecond spike, and the peak value can reach several amperes. The interaction between turbulent flow and electric field can lead to SC-D mode, which reduces the arc length suddenly and changes the discharge path of the arc. Air flow and input power will affect the discharge mode of the gliding arc. In the G-D mode, the arc will change to B-D mode as the length increases. When the power supply energy is enough to maintain the arc gliding, the arc in B-D mode will also change to G-D mode. In different discharge modes, the discharge power of the arc will also be affected by the air flow and power supply energy.
Emulating artificial neuron and synaptic properties with SiO2-based memristive devices by tuning threshold and bipolar switching effects
Authors: Bousoulas Panagiotis , Panagopoulou Marianthi , Boukos Nikos , Tsoukalas Dimitris 
Published: February 2021

Abstract
The implementation of neuromorphic computations within a fully memristive neural network is considered the holy grail of the artificial intelligence era. In order to attain this goal, it is quite important to develop robust and configurable electronic devices capable of emulating spiking neuronal and synaptic plasticity activities. Along these lines, we report here the direct impact of oxygen concentration as well as of the homo-bilayer material configuration of SiO2-conductive bridge memories to the manifestation of tunable threshold and bipolar switching effects. Interestingly, while the bilayer structure of Ag/SiO
x
/SiO
y
/TiN (x < y) exhibits only bipolar switching effect, the respective single-layer structures of Ag/SiO
y
/TiN and Ag/SiO
x
/TiN operate under either threshold switching or both modes. Insights regarding the impact of oxygen concentration into the conducting filament growth process are provided. The manifestation of the two switching modes permits the emulation of various synaptic effects, such as short-term plasticity and long-term plasticity whereas the modulation of the conductance values allows the synaptic weight tuning by controlling the amplitude or the frequency of the triggering signals. Moreover, arbitrary neuron characteristics were obtained from our volatile memory devices without integrating any other auxiliary circuit. Our approach provides valuable insights towards the realization of artificial neural networks from the same material configuration with biological-like dynamic behavior.
Novel technique for estimating pollution-associated leakage current in high-voltage insulators based on adaptive filtering in long-term recording
Authors: Bueno-Barrachina Jose-M , Cañas-Peñuelas César-S , Ye-Lin Yiyao , Fuster-Roig Vicente 
Published: February 2021

Abstract
Moist polluting substances on high-voltage insulator surfaces can cause power-line failures by triggering electric arcs. There are at present no effective methods of measuring insulator pollution levels during normal operations. In this work, we attempt to estimate insulator pollution leakage current (PLC) as an indirect method of measuring deposits in a 30 month period of simultaneously recording leakage current and related environmental variables in substation insulators. We analyzed the relationship between raw leakage current and environmental variables. We canceled out the influence of relative humidity on leakage current by adaptive filtering and then obtained the PLC by filtering out the anomalous peaks in the recording. The proposed method considerably reduces the correlation between leakage current and relative humidity (0.826 vs 0.019). The resulting signal was only slightly correlated with other environmental variables (<0.03), suggesting that the relationships between leakage current and temperature, wind direction and speed are mainly attributable to their influence on relative humidity. The PLC presents a quasi-annual smooth fluctuation over time with a magnitude similar to those obtained in laboratory tests. This novel technique could be used to monitor insulator PLC in real time and thus improve power supply continuity and reduce maintenance costs.
A novel approach to tool condition monitoring based on multi-sensor data fusion imaging and an attention mechanism
Authors: Zeng Yunfei , Liu Riliang , Liu Xinfeng 
Published: February 2021

Abstract
Tool wear does great damage to product quality and machining efficiency. In this paper, a new tool condition monitoring (TCM) method based on a multi-sensor data fusion imaging and attention mechanism is proposed to indirectly measure and monitor tool wear. First, the multi-sensor signals collected during the operation of the machine tool are encoded and fused. A novel triangular matrix of angle summation method is proposed to fuse multi-sensor time-series signals at the data layer and to image them as two-dimensional images. The method used here effectively retains the detailed characteristics of the data, and also effectively retains the internal time relationship of the signal. In addition, a deep residual network with a convolution block attention module is used to extract the deep features from the encoded image and identify the wear stage of the tool. The proposed deep-learning network is then applied to TCM. It selects information in the channel and spatial domains based on its attention mechanism, and increases network depth by combining residual blocks to realize deep feature extraction. Compared with traditional machine learning methods, this end-to-end deep learning model does not rely on feature engineering, which requires a lot of expert knowledge and artificial experience. In our experimental study, a public data set was used to train the model, and the results showed that the accuracy of the model proposed in this paper was as high as 94%. To further verify its feasibility and effectiveness, the proposed model was also compared with other methods.
Damage development during the strain induced phase transformation of austenitic stainless steels at low temperatures
Authors: Homayounfard Milad , Ganjiani Mehdi , Sasani Farnaz 
Published: February 2021

Abstract
The strain-induced martensitic transformation greatly affects the plastic behavior of the metastable austenitic stainless steels. The martensitic transformation continuously changes the initially homogeneous material into a strongly heterogeneous bi-phase one. In addition to the hardening behavior, this phenomenon would influence the damage growth and load-carrying capacity of the material during the plastic deformation. In this study, plastic behavior of the material AISI 304 including the hardening and damage growth, has been examined at low temperature; where a high rate of martensitic transformation affects the microstructure strongly. Experimental analysis and microscopic observations have been performed for evaluating the martensite content and damage growth. In addition, based on the continuum damage mechanics, a simplified damage evolution model has been proposed to capture the effect of phase transformation on the damage growth rate explicitly. The results show that the damage initiates with a considerable rate in early stages of transformation, however at higher levels of transformation, damage growth rate decreases until a sudden fracture. The presented model properly predicts the observed damage behavior.
Gain-assisted critical coupling for enhanced optical absorption in graphene
Authors: Liu Tingting , Zhou Chaobiao , Xiao Shuyuan 
Published: February 2021

Abstract
Enhanced optical absorption in two-dimensional (2D) materials has recently moved into the focus of nanophotonics research. In this work, we present a gain-assisted method to achieve critical coupling and demonstrate the maximum absorption in undoped monolayer graphene in the near-infrared. In a two-port system composed of photonic crystal slab loaded with graphene, the gain medium is introduced to adjust the dissipative rate to match the radiation rate for the critical coupling, which is accessible without changing the original structural geometry. The appropriate tuning of the gain coefficient also enables the critical coupling absorption within a wide wavelength regime for different coupling configurations. This work provides a powerful guide to manipulate light–matter interaction in 2D materials and opens up a new path to design ultra-compact and high-performance 2D material optical devices.
Computational insights into modulating the performance of MXene based electrode materials for rechargeable batteries
Authors: Li Na , Fan Jun 
Published: February 2021

Abstract
MXene, a still-growing large family of two-dimensional (2D) materials, has aroused enormous attention in the scientific community. Owing to their high specific surface area, good electronic conductivity, stability, and hydrophilicity, MXene has found a wide application involving electromagnetic interference shielding, sensors, catalysis, and energy storage, etc. In the field of energy storage, MXenes are promising electrode materials for various metal-ion batteries and they are also effective anchoring materials for Li−S batteries. One of the most unique features of MXene is its abundant compositions, which renders us large room to modulate its properties. Besides, other effective approaches applicable to traditional 2D materials can also be used to optimize the performance of MXene. Theoretical calculations have played a significant role in predicting and screening high-performance MXene based electrode materials. So far, theoretical researchers have made much progress in optimizing the performance of MXene as electrode materials for various rechargeable batteries. In the present review, started by a brief introduction of the involved mechanism and basic calculation methods, we comprehensively overview the latest theoretical studies of modulating the performance of MXene based electrode materials for rechargeable batteries.
Drift kinetic theory of neoclassical tearing modes in a low collisionality tokamak plasma: magnetic island threshold physics
Authors: Dudkovskaia A V , Connor J W , Dickinson D , Hill P , Imada K , Leigh S , Wilson H R 
Published: February 2021

Abstract
A new drift kinetic theory for the plasma response to the neoclassical tearing mode (NTM) magnetic perturbation is presented. Small magnetic islands of width,

w
≪
a

(a is the tokamak minor radius) are assumed, retaining the limit w ∼ ρ

bi
(ρ

bi
is the ion banana orbit width) to include finite orbit width effects. When collisions are small, the ions/electrons follow streamlines in phase space; for passing particles, these lie in surfaces that reproduce the magnetic island structure but have a radial shift by an amount, proportional to

ρ

ϑ
i

/

e

, where

ρ

ϑ
i

/

e

is the ion/electron poloidal Larmor radius. This shift is associated with the curvature and ∇B drifts and is found to be in opposite directions for

V
∥

≶
0

, where

V
∥

is the component of velocity parallel to the magnetic field. The particle distribution function is then found to be flattened across these shifted or drift islands rather than the magnetic island. This results in the pressure gradient being sustained across the magnetic island for

w
∼

ρ

ϑ
i

and hence reduces the neoclassical drive for NTMs when w is small. This provides a physics basis for the NTM threshold, which is quantified. In Imada et al (2019 Nucl. Fusion
59 046016, and references therein), a 4D drift kinetic non-linear code has been applied to describe these modes. In the present paper, the drift island formalism is employed. Valid at low collisionality, it allows a dimensionality reduction to a 3D problem, simplifying the numerical task and efficiently resolving the collisional boundary layer across the trapped-passing boundary. An improved model is adopted for the magnetic drift frequency. This decreases the NTM threshold, compared to the results shown in Imada et al (2019 Nucl. Fusion
59 046016, and references therein), making it in quantitative agreement with experimental observations, with

w
c

=
0.45

ρ

ϑ
i

, where w

c
is the threshold magnetic island half-width, or 2.85ρ

bi
for the full threshold island width, predicted for our equilibrium.
Influences of sinusoidal density modulation on stimulated Raman scattering in inhomogeneous plasmas
Authors: Chen Y , Zheng C Y , Liu Z J , Cao L H , Feng Q S , Chen Y G , Huang Z M , Xiao C Z 
Published: February 2021

Abstract
The influence of sinusoidal density modulation on stimulated Raman scattering (SRS) reflectivity in inhomogeneous plasmas is studied using three-wave coupling equations, fully kinetic Vlasov simulations, and particle-in-cell (PIC) simulations. Through a numerical solution of the three-wave coupling equations, we find that the sinusoidal density modulation is capable of inducing absolute SRS even though the Rosenbluth gain is smaller than π, and we describe a region of modulational wavelength and amplitude in which absolute SRS can be induced, which agrees with earlier studies. The average reflectivity obtained by the Vlasov simulations has the same trend as the growth rate of absolute SRS obtained from the three-wave equations. Instead of causing absolute instability, a modulation wavelength shorter than the basic gain length can suppress the inflation of SRS through harmonic waves. In addition, the PIC simulations qualitatively agree with our Vlasov simulations. Our results offer an alternative explanation for high reflectivity in experimental underdense plasmas, which is due to long-wavelength modulation, and a potential method to suppress SRS using short-wavelength modulation.
S-scheme heterojunction ZnO/g-C3N4 shielding polyester fiber composites for the degradation of MB
Authors: Liu Xiang Yu , Li Jin 
Published: February 2021

Abstract
Solar-driven nano-semiconductor catalysts have shown great potential in solving environmental pollution and energy issues. They convert solar energy into chemical energy, release strong oxidizing hydroxyl radicals (OH·), and thoroughly degrade organic pollutants. However, these photocatalysts in turn may also damage some organic carriers. Therefore, we have used graphite phase carbon nitride (g-C3N4) as the isolation layer to prevent the carrier polyester fiber (PET) from being oxidized by zinc oxide (ZnO). ZnO-g-C3N4@PET composite has been prepared by hydrothermal method, photoluminescence results indicated that ZnO-g-C3N4@PET has a low photo-generated charge recombination rate, while g-C3N4 improves the visible light response of the composite and exhibits an obvious photocatalytic enhancement effect. In the experiment of degrading methylene blue (MB), the degradation efficiency of ZnO-g-C3N4@PET composite has been significantly improved compared with ZnO@PET and g-C3N4@PET alone. In addition, the prepared photocatalyst also has good reusability and still maintains a high degradation rate after five cycles of tests. In the end, a possible mechanism and a pathway of photocatalytic degradation of MB were proposed. All in all, this is a feasible way to build a highly efficient, environmentally friendly and sustainable supported photocatalyst.
Many-body effects and quantum fluctuations for discrete time crystals in Bose–Einstein condensates
Authors: Wang Jia , Hannaford Peter , Dalton Bryan J 
Published: February 2021

Abstract
We present a fully comprehensive multi-mode quantum treatment based on the truncated Wigner approximation (TWA) to study many-body effects and effects of quantum fluctuations on the formation of a discrete time crystal (DTC) in a Bose–Einstein condensate (BEC) bouncing resonantly on a periodically driven atom mirror. Zero-range contact interactions between the bosonic atoms are assumed. Our theoretical approach avoids the restrictions both of mean-field theory, where all bosons are assumed to remain in a single mode, and of time-dependent Bogoliubov theory, which assumes boson depletion from the condensate mode is small. We show that the mean-field and time-dependent Bogoliubov approaches can be derived as approximations to the TWA treatment. Differing initial conditions, such as a finite temperature BEC, can also be treated. For realistic initial conditions corresponding to a harmonic trap condensate mode function, our TWA calculations performed for period-doubling agree broadly with recent mean-field calculations for times out to at least 2000 mirror oscillations, except at interaction strengths very close to the threshold value for DTC formation where the position probability density differs significantly from that determined from mean-field theory. For typical attractive interaction strengths above the threshold value for DTC formation and for the chosen trap and driving parameters, the TWA calculations indicate a quantum depletion due to quantum many-body fluctuations of less than about two atoms out of a total of 600 atoms at times corresponding to 2000 mirror oscillations, in agreement with time-dependent Bogoliubov theory calculations. On the other hand, for interaction strengths very close to the threshold value for DTC formation, the TWA calculations predict a large quantum depletion—as high as about 260 atoms out of 600. We also show that the mean energy per particle of the DTC does not increase significantly for times out to at least 2000 mirror oscillations and typically oscillates around an average value close to its initial value; so TWA theory predicts the absence of thermalisation. Finally, we find that the dynamical behaviour of our system is largely independent of whether the boson–boson interaction is attractive or repulsive, and that it is possible to create a stable DTC based on repulsive interactions.