bluuebunny/crossref_metadata_2025_split huggingface dataset:
How to get more views
Authors: Al-Ali Mohammed Nahar , Sahawneh Meera B. , Hamzeh Safaa M. 
Published: May 2023

Abstract
The study aims to examine how the interactional and interactive linguistic aspects are utilized to qualify the discoursal propositions of Arabic clickbaits to secure viewers’ responsive clicks to thumbnails. To this end, one hundred Arabic YouTube clickbait headlines were selected from five Arabic channels that are owned by independent unofficial entertainment institutions. The data came from a period of one year covering 2021. The data covered different domains such as crafts, sports, entertainment, and science. To examine how the headlines are constructed, we drew on two complementary theoretical frameworks, namely, Machin and Mayer’s (2012) framework of verbal processes and participants, and Hyland’s (2005) interactional and interactive meta-discourse framework. It was found that clickbait creators structured their texts interactionally using more enticing attitude and engagement markers, and self-mentions to emphasize a closer relationship with the viewers so as to persuade them to click the baits. This tendency was further heightened by the frequent use of interactive compositional selections attained by deliberately leaving parts of the headlines opaque realized by the frequent use of consecutive dots, cataphoric markers, and viewer-attitude connective signals. Likewise, the discoursal process selection has never been neutral, as clickbait writers frequently used negative mental and material processes to spark viewers’ curiosity to react and click the bait. YouTube clickbait headlines can have the effect of frustrating viewers and/or decreasing their satisfaction. Thus, this research will hopefully contribute to the detection and isolation of clickbaits as a step required to raise viewers’ awareness of the enticing headlines and as a further step to demote them.
Scepticism voiced through extended metaphors
Authors: Cibulskienė Jurga 
Published: May 2023

Abstract
When metaphors appear in a text in clusters within the same source domain, they are usually referred to as an
extended metaphor (Gibbs, 2015; Naciscione,
2016; Semino, 2008; Shutova,
2015; Thibodeau, 2016; Werth, 1994).
This creates a coherent narrative or a scenario (Musolff, 2016) encoding the evaluation
of a particular socially-contested issue. The present study analyses how the evaluation of higher education reform in Lithuanian
media is manifested through extended metaphor and whether negative evaluations prevail. For this investigation, a corpus of
Lithuanian media texts on higher education reform was examined within the frameworks of Critical Metaphor Analysis (Charteris-Black, 2014) and scenarios (Musolff,
2016). The findings show that, when extended metaphors are ascribed positive, negative or mixed values and categorised
into mini-narratives, leitmotif narratives and long narratives, they usually (24 out of 28) follow negatively and often
death-related and ironically encoded narratives with differently twisted scenarios. This study, therefore, shows a persistent
attempt by the media to evaluate the ongoing reform negatively.
Audible gestures
Authors: Hauser Eric 
Published: May 2023

Abstract
This study focuses on one type of audible gesture, designedly single claps (DSCs), as used by different people at an educational institution. The institution is designed to provide second language English users with opportunities to use English in various situations. Through the use of Multimodal Conversation Analysis, the analysis first focuses on the shape of DSCs and what makes them visible as not projecting further claps. Next, the analysis focuses on how DSCs are used within their sequential context. DSCs can take a variety of shapes, in that there are different ways not to project further claps; they can be used to attract attention of multiple recipients, and thus as one resource to manage interaction; and they are used as such a resource by representatives of the educational institution, who take on teacher roles within the interaction, with responsibility and deontic authority to manage shifts in activity and participation framework.
What foreign language learners make of grammatical descriptions depends on description type, proficiency, and
context
Authors: Jach Daniel 
Published: May 2023

Abstract
Most usage-based research emphasizes the importance of implicit, input-driven learning in naturalistic
environments, but recent studies have adopted usage-based grammatical descriptions for instructed learning in classrooms. These
descriptions are intended to draw learners’ deliberate attention to relevant usage patterns in the input and thereby support
intake. Most of these studies compare usage-based descriptions to other types of descriptions for their efficiency, while little
attention has been paid to the ways in which learners understand and apply such descriptions. This study examines what foreign
language learners understand of usage-based grammatical descriptions of target structures. In an experimental forced choice task,
Chinese learners of German received usage-based descriptions of case structures and then classified target instances in variable
contexts. A multivariate regression analysis indicated that choices were influenced by interactions of the type of description
with participants’ target-language proficiency and the semantic and lexical target contexts. This is discussed in terms of
noticing and category formation. This study argues that learners are able to use grammatical descriptions as some kind of
auxiliary model for recognizing and categorizing target patterns. The descriptions thus make learners aware of the mechanisms
underlying implicit learning and help them exploit these mechanisms for explicit learning.
The competition between noun-verb conversion and -ize derivation
Authors: Baeskow Heike 
Published: May 2023

Abstract
The process of noun-verb conversion, which is highly productive in English, has been dealt with from a variety of
theoretical perspectives. What is missing so far is a systematic analysis of conceptual-semantic factors which motivate this
process and set it apart from another productive verb-formation process, namely -ize derivation. The present
article is intended to fill this gap. While some conceptual-semantic patterns which are displayed by converted verbs but not by
-ize verbs have already been identified in the literature, more fine-grained contrastive analyses show that
converted verbs display even more patterns not attested for the overtly derived verbs. Even if the two verb-formation types share
a conceptual-semantic pattern, they may be in complementary distribution at a lower level of abstraction. Moreover, non-derived
denominal verbs allow for a wider range of metaphorical meanings. The difference in semantic diversity is ascribed here to the
fact that -ize verbs denote more specialized activities, whereas converted verbs typically (though not
necessarily) express activities reflecting speakers’ interaction with basic-level objects, which may be based on experience or
imagination. Since the activities denoted by converted verbs are readily transferred to different domains of experience (e.g.,
to bottle up emotions), these verbs more frequently undergo metaphorical meaning extension. Formally, the
higher degree of semantic versatility observed for converted verbs is reflected by the fact that conversion – unlike
-ize derivation – is constrained neither by predetermined Lexical Conceptual Structures nor by selectional
restrictions, but motivated by metonymy, which may be enriched by metaphorical extension.
A comparative interpreting studies view of interpreting in religious contexts
Authors: Downie Jonathan 
Published: May 2023

Abstract
This article applies Comparative Interpreting Studies to research on interpreting in religious contexts and the
relevance of this literature to interpreting studies more broadly. Comparative Interpreting Studies is an approach that looks to
plot the commonalities of all interpreting practice. It is argued that actual observed interpreter behaviors, rather than assumed
professional standards, provide a justifiable unit of comparison. The behavior of interpreters in religious contexts is discussed,
alongside the split between prescriptive and descriptive approaches to analyzing this behavior and the importance of spiritual and
emotional aspects. Differences in research approaches on interpreting in religious contexts are shown to shadow debates within
interpreting studies and thus offer insights that may be cautiously generalized. Such generalizations align with recent research
in a variety of interpreting contexts and lead to a call for interpreting researchers to give more attention to the wider social,
organizational, and personal contexts of interpreting.
Identifying many-body localization transition through global quantum discord
Authors: Shen Longhui , Bao Jia , Guo Bin , Sun Zhaoyu 
Published: May 2023

Abstract
We investigate the many-body localization (MBL) transitions in a spin-1/2 Heisenberg chain with an on-site random magnetic field by employing global quantum discord (GQD). We use the disorder-averaged GQD to estimate the MBL critical point, which is found to be around at

W

c

=
3.8

by making a finite-size scaling analysis. We further compare our results of GQD with those of half-chain entanglement entropy (EE) that is promising in the study of MBL. We show that GQD can exclude the finite-size interference under the same condition, which implies that GQD is more robust than the half-chain EE in characterizing MBL.
Semimetallic spin-density wave state in iron pnictides
Authors: Goyal Garima , Singh Dheeraj Kumar 
Published: May 2023

Abstract
We examine the existence of semimetallic spin-density wave (SDW) states in iron pnictides. In the experimentally observed metallic SDW state, the symmetry-protected Dirac cones are located away from the Fermi surface giving rise to tiny pockets and there are also additional Fermi pockets such as one around Γ. We find that the location of a pair of Dirac points with respect to the Fermi surface exhibits significant sensitivity to the orbital splitting between the d

xz
and d

yz
orbitals. Besides, in the presence of orbital splitting, the Fermi pockets not associated with the Dirac cones, can be suppressed so that a semimetallic SDW state can be realized. We explain these findings in terms of difference in the slopes and orbital contents of the bands which form the Dirac cone, and obtain the necessary conditions dependent on these two and other parameters for the coexisting Dirac semimetallic and SDW states. Additionally, the topologically protected edge states are studied in the ribbon geometry when the same are oriented either along x or y axes.
Structure determination in a new type of amorphous molecular solids with different nonlinear optical properties: a comparative structural analysis
Authors: Link Vasco J , Stellhorn J R , Klee B D , Paulus B , Belz J , Haust J , Hosokawa S , Hayakawa S , Volz K , Rojas León I , Christmann J , Dehnen S , Pilgrim W-C 
Published: May 2023

Abstract
The microscopic structures of two amorphous molecular solids with extremely nonlinear optical properties have been studied. They consist of organotetrel chalcogenide clusters with the chemical formula [(RSn)4S6]. The basic molecular building blocks are adamantane-like {Sn4S6} cores with organic ligands R attached to the Sn atoms. While the material equipped with R=naphthyl generates frequency doubling upon irradiation with a simple infrared laser diode, the material decorated with R=phenyl responds by emitting brilliant white light. The structural differences were investigated using x-ray scattering and extended x-ray absorption fine structure combined with molecular Reverse Monte Carlo. Transmission electron microscopy and scanning precession electron diffraction were used to examine structural differences from mesoscopic down to microscopic scales. Characteristic differences were found on all scales. While close core-to-core distances between {Sn4S6} cluster cores and molecular distortions are found in the white light emitting material, undistorted molecules and significantly larger core distances characterize the material showing frequency doubling. Here however, results of scanning precession electron diffraction reveal the formation of nanocrystalline structures in the amorphous matrix, which we identify as cause for the suppression of white light emission.
Magnetic properties induced by the Yb-valence inhomogeneity in the layered Kondo-lattice compound Yb4RuGe8
Authors: Yamanaka S , Hikiji M , Michioka C , Ueda H , Yoshimura K 
Published: May 2023

Abstract
We have successfully grown single crystals of a novel ytterbium-based layered compound

Y
b

4

R
u
G
e

8

and studied its structural, magnetic, thermal, and transport properties. The magnetic susceptibility has a broad peak caused by the Kondo effect at approximately

40

K

and is enhanced below

15

K

owing to the development of additional magnetic correlations. An analysis with the grand-Kadowaki–Woods relation reveals that the low-temperature state except for the effect of the additional magnetic correlations is a heavy-mass Fermi liquid.
A deep learning-based approach to solve the height-slope ambiguity in phase measuring deflectometry
Authors: Fan Xinggang , Ma Tianle , Li Chao , Li Yaonan , Liu Sheng , Chen Heping 
Published: May 2023

Abstract
Phase measuring deflectometry (PMD) shows excellent performance in measuring the shape of specular surfaces. However, the existing height-slope ambiguity affects the measurement of PMD. In this paper, we propose a deep learning-based method to solve the ambiguity and reconstruct the specular surface. A neural network was built to reconstruct the surface. A set of simulation surfaces were generated using two-dimensional Legendre polynomials to train and test the network. A spherical-shaped surface was reconstructed in a simulation to evaluate the validity of the proposed method and compare our method to the state-of-the-art method. Experimental results demonstrate a 35.88% improvement in this method’s accuracy. Our method provides a great improvement in measurement accuracy.
MCE-Net: polyp segmentation with multiple branch series-parallel attention and channel interaction via edge distribution guidance
Authors: Li Haiyan , Yang Lei , Miao Jiarong , Yu Pengfei , Ge Fuhua 
Published: May 2023

Abstract

Objective. Accurate polyp segmentation is vital for diagnosing colorectal cancer. However, it is still challenging for accurate polyp segmentation and several bottlenecks exist, such as incomplete boundary, localization bias and lack of micro blocks along with large fragmented boundaries in uncertain regions. Approach. To address the above issues, a novel polyp segmentation network with multiple branch series-parallel attention (MBSA) and channel interaction via edge distribution guidance is proposed. Initially, the edge distribution guidance strategy is proposed to generate the edge distribution following Cauchy distribution to capture complementary edges with sufficient details. Subsequently, a MBSA module is put forward to extract features from various receptive fields to pinpoint tiny polyps by a multiple kernel dilated convolution block, while combining semantics of different dimensions to filter out noise and refining the details of micro target. Ultimately, the channel interaction model is proposed to improve the segmentation accuracy of the polyps in uncertain area by splitting channels into groups and conducts group-wise interaction to excavate subtle clues contained in different channels. Main results. Extensive experimental results demonstrate that the proposed method is superior over the state-of-the-art methods with the mean dice of 0.8972, 0.9420, 0.8312, 0.8064 and 0.9214 on five public polyp datasets. Significance. The proposed method improves the integrity of the margins and internal details for polyp segmentation, which will provide a powerful aid for doctors to achieve accurate judgments, reducing the likelihood of colorectal cancer and improving the survival chances of patients.
A self-powered UV–vis–NIR graphite/CdZnTe Schottky junction photodiode
Authors: Mostovyi Andrii I , Kuryshchuk Serhii І , Asanov Nurzhan , Parkhomenko Hryhorii P , Kovaliuk Taras T , Orletskyi Ivan G , Solovan Mykhailo M , Brus Viktor V 
Published: May 2023

Abstract
We proposed a self-powered UV–vis–NIR Schottky junction photodiode based on a unique combination of radiation-hard functional materials: thin-film semi-metal Graphite and CdZnTe single-crystal compound semiconductor. The graphite/CdZnTe Schottky junction photodiodes exhibit a maximum responsivity of 0.25 A W−1 and detectivity of 6.5 × 1011 Jones, close to the best heterojunction photodiodes based on CdZnTe solid solution. The devices are also characterized by short rise/fall times (1.2/7.2 µs) and a wide linear dynamic range (77 dB). The proposed photodiodes are promising for applications in space and terrestrial areas with high levels of ionizing radiation.
Scalable Bell inequalities for graph states of arbitrary prime local dimension and self-testing
Authors: Santos Rafael , Saha Debashis , Baccari Flavio , Augusiak Remigiusz 
Published: May 2023

Abstract
Bell nonlocality—the existence of quantum correlations that cannot be explained by classical means—is certainly one of the most striking features of quantum mechanics. Its range of applications in device-independent protocols is constantly growing. Many relevant quantum features can be inferred from violations of Bell inequalities, including entanglement detection and quantification, and state certification applicable to systems of arbitrary number of particles. A complete characterisation of nonlocal correlations for many-body systems is, however, a computationally intractable problem. Even if one restricts the analysis to specific classes of states, no general method to tailor Bell inequalities to be violated by a given state is known. In this work we provide a general construction of Bell expressions tailored to the graph states of any prime local dimension. These form a broad class of multipartite quantum states that have many applications in quantum information, including quantum error correction. We analytically determine their maximal quantum values, a number of high relevance for device-independent applications of Bell inequalities. Importantly, the number of expectation values to determine in order to test the violation of our inequalities scales only linearly with the system size, which we expect to be the optimal scaling one can hope for in this case. Finally, we show that these inequalities can be used for self-testing of multi-qutrit graph states such as the well-known four-qutrit absolutely maximally entangled state AME(4,3).
Existence of both compressional and rarefactive nonlinear solitary waves in a chain of dust particles
Authors: Wei Lin , Peng Yi , Yang Yang-Yang , Du Yun-Zhen , Yang Lei , Duan Wen-Shan 
Published: May 2023

Abstract
Not only the compressional dust acoustic solitary wave, but also the rarefactive one in a chain of the dust particles are verified by using the molecular dynamics simulation method. The compressional dust acoustic solitary wave is also obtained by using the traditional reductive perturbation method, while the rarefactive dust acoustic solitary wave solution is fitted by the numerical simulation results. The application scope of the traditional reductive perturbation method to derive compressional dust acoustic solitary waves in a chain of the dust particles is given. The application scope of the fitted results of the rarefactive dust acoustic solitary waves is also given.
Thermodynamic properties of the 2D generic helical edge states with quadrangular potential effects
Authors: Alkan S , Akay D 
Published: May 2023

Abstract
We theoretically studied the generic helical edge state (GHES) with quadrangular potential in the two-dimensional (2D) HgTe/CdTe quantum well (QW) structure. We have specified the thermodynamic properties of the GHES with and without the external geometric potential. On the one hand, we first revealed the heat capacity dependence of the edge modes on the optimum temperatures. It is found that the model offers distorted Fermi lines of edge states but does not vary with the behavior of the heat capacity. In addition, we showed that the quadrangular potential term distorts the Fermi surface and contributes to particle-hole asymmetry.
Reduction of polarization deviation effects in terahertz splitter
Authors: Wang Wenliang , Rong Xiaohong 
Published: May 2023

Abstract
Because the polarization state can reflect more information, the development of terahertz remote sensing and communication technology, there is an urgent need for polarization insensitive terahertz regulatory devices. In this paper, a linear terahertz depolarization splitter is designed based on the transfer matrix method, which combines the symmetric structure with the matched material to obtain a material combination with very little polarization deviation. Statistical results show that this design has excellent performance of 51.0586% transmittance and low polarization degree of 0.0016 for 2.5 ThZ wave at 45 degrees of oblique incidence. Moreover, it has excellent performance of little transmission deviation and phase shift in the range of 0–55 degrees of incident Angle.
Detecting the subthreshold signal in a neural network via statistical complexity measure
Authors: Wu Yazhen , Sun Zhongkui , Liu Yuanyuan 
Published: May 2023

Abstract
This paper proposes an information theory approach for detecting the subthreshold signal in a small-world network composed of Fitz Hugh-Nagumo (FHN) neurons. Statistical complexity measure (SCM) and normalized Shannon-entropy (NSE) have been defined based on the specific and nonconsecutive firing time intervals series, and employed to quantify the stochastic multiresonance (SMR) phenomena in this small-world neural network. The results show that there are several maxima of SCM and several minima of NSE at various optimal noise levels, which is regarded as the signature of the occurrence of SMR. This also implies that the subthreshold signal can be accurately detected across multiple levels of noise. More intriguingly, we have discovered that the degree of this neural network can induce the generation of multiple resonance-like behaviors. In addition, our findings demonstrate that the SCM outperforms the traditional signal-to-noise ratio (SNR) in accurately identifying firing dynamical regularity under certain noisy conditions. Furthermore, the SCM can capture subtle resonance-like behavior induced by the degree, which the SNR is unable to detect. Thus, the SCM could have potential power on detecting weak signals in neural networks.