bluuebunny/crossref_metadata_2025_split huggingface dataset:
Palladium-Catalyzed Oxidative Cycloaddition of Quinazoline-2,4(1H,3H)-diones and Diarylalkynes via C–H/N–H Activation
Authors: Stepakov Alexander V. , Komolova Darya D. , Pronina Yulia A. , Lozovskiy Stanislav V. , Selivanov Stanislav I. , Ponyaev Alexander I. , Filatov Alexander S. , Boitsov Vitali M. 
Published: June 2023

AbstractThe oxidative cycloaddition of 3-subsituted quinazoline-2,4(1H,3H)-diones and alkynes has been developed. The reaction is Pd(II)-catalyzed and successfully occurs in the presence of Ag(I) oxidants. This transformation is assumed to proceed by N–H palladation of the quinazoline-2,4(1H,3H)-dione followed by ortho-C–H activation. Using this methodology, a series of 5,6,7,8-tetraaryl-1H-azepino[3,2,1-ij]quinazoline-1,3(2H)-diones were obtained in moderate to good yields. The resulting tricyclic heterocycles can be converted by alkaline hydrolysis into 1H-benzo[b]azepine-9-carboxamide derivatives. DFT calculations have been carried out to shed light on the reaction mechanism.
Data security crisis in universities: identification of key factors affecting data breach incidents
Authors: Li Jin , Xiao Wei , Zhang Chong 
Published: May 2023

AbstractThe extremely complex and dynamic digital environments of universities make them highly vulnerable to the risk of data breaches. This study empirically investigated the factors influencing data breach risks in the context of higher education, according to crime opportunity theory and routine activity theory. The data consisted of university samples from China and were collected mainly from the Chinese Education Industry Vulnerability Reporting Platform. After applying Poisson regression for the estimation, increased public disclosure of vulnerabilities was found to escalate the frequency of data breaches, whereas cross-border data flow decreased the number of data breaches. Furthermore, the mechanism by which academic strength affects data breaches was examined through the two mediators of cross-border data flow and vulnerability disclosure. In addition, cloud adoption reduced data breaches, and public clouds were determined to be relatively more secure than private clouds. Cloud adoption also acted as a moderator between the negative impact of vulnerabilities and the positive impact of cross-border data flow on data breaches. The estimation and robustness findings revealed the underlying mechanisms that impacted university data security, clarifying the understanding of data breaches and suggesting practical implications for universities and other institutes to improve information security. The findings of this study provide insights and directions for future research.
Paradigm gaps are associated with weird “distributional semantics” properties
Authors: Chuang Yu-Ying , Brown Dunstan , Baayen R. Harald , Evans Roger 
Published: May 2023

Abstract
This study investigates the phenomenon of defectiveness in Russian case and number noun paradigms from the
perspective of distributional semantics. We made use of word embeddings, high-dimensional vectors trained from large text corpora,
and compared the observed paradigms of nouns that are defective in the genitive plural, as suggested by Zaliznjak (1977), with the observed paradigms for non-defective nouns. When the embeddings of about
20,000 inflected forms were projected onto a two-dimensional space, clusters of case and number within case were found, suggesting
global semantic similarity for words with the same inflectional features. Moreover, defective lexemes were characterized by lower
semantic transparency, in that inflected forms of the same lexeme are semantically less similar to each other, and their meanings
are also more idiosyncratic. Furthermore, compared to non-defective lexemes, inflected forms from defective lexemes are further
away from the idealized average case-number meanings, obtained by averaging over the vectors of all inflected forms of the same
case-number combination. As a consequence, the semantics of defective forms are predicted less precisely by a simple model of
conceptualization that assumes that the meaning of a given Russian inflected form is approximated well by the sum of pertinent
embeddings of the lexeme, case, and number within case. We conclude that the relationship between defectiveness and semantics, at
least the kind captured by word embeddings, is stronger than has been anticipated previously.
Deconstructing imagined identities and imagined communities through humor
Authors: Gasteratou Spyridoula , Tsakona Villy 
Published: May 2023

Abstract
The aim of this study is to explore humor as a means for deconstructing identities in humorous narratives written
by adult L2 learners. Norton Pierce’s (1995) notions of investment in
L2 learning, imagined identities, and imagined communities as well as the concepts of
script opposition and target employed for the sociopragmatic analysis of humor (Attardo 2001) are exploited for demonstrating how humor constitutes a means for
deconstructing L2 learners’ imaginary projections and investments in L2. The analysis reveals that L2 learners use humor in their
narratives to account for their failure to fulfill their imagined identities as competent speakers and legitimate members of the
host community, or for the flouting of their expectations concerning the behavior of the members of the imagined host community.
Moreover, humor emerges as a strategy allowing learners to attenuate potential threats against their own positive face or that of
host community members (Brown and Levinson 1987).
Corpus stylistic analysis of literary translation using multilevel linguistic measures
Authors: Ryu Jisu , Kim Soonbae , Graesser Arthur C. , Jeon Moongee 
Published: May 2023

Abstract
Previous studies in corpus-based literary translation have tended to focus on only one or two specific aspects of
style. In this study we expand the existing analytical paradigm to show how the style inherent in source texts (STs) is reflected
in their translations. We do this using thirty-six multilevel linguistic features. The selected texts are James Joyce’s
Dubliners and A Portrait of the Artist as a Young Man and their Korean translations. We find
that the general stylistic patterns in the STs are mirrored in the target texts (TTs) in terms of several linguistic measures, but
that some aspects of style are not reflected in the TTs. The stylistic discrepancies between the STs and TTs may signify the
translator’s strategic decisions to adhere to the target language (TL) norms and translation conventions as well as to preserve
the style in the ST.
Bearing fault feature extraction method: improved weighted envelope spectrum
Authors: Cheng Jian , Yang Yu , Wang Ping , Wang Jian , Cheng Junsheng 
Published: May 2023

Abstract
Many existing cyclic spectrum analysis methods are ineffective in solving bearing fault diagnosis in multi-information frequency bands. Based on this, an improved weighted envelope spectrum (IWES) method is proposed. Firstly, IWES uses the fault information intensity index to quantify bearing fault information and evaluate bearing fault information of spectral frequency bands in spectral coherence. Secondly, the threshold function is constructed to determine the threshold adaptively, so as to identify the spectrum frequency components with rich fault information in the spectral coherence. Meanwhile, a weight function is designed based on threshold function to eliminate the interference noise components and keep the fault information. Finally, the spectral coherence and weight function are used to generate IWES with multi-band information. The bearing experiments show that the IWES has excellent noise robustness and can accurately extract the bearing fault characteristic frequency.
Fault diagnosis of rotating machinery via multi-structure fusion discriminative projection
Authors: Su Shuzhi , Zhang Zhipeng , Zhu Yanmin , Hou Yakui 
Published: June 2023

Abstract
Rotating machinery is one of the important parts of industrial production equipment, and it is of great practical significance for fault diagnosis. Aiming at the problem of classification difficulty caused by feature interleaving in complex working conditions and high-dimension of rotating machinery fault samples, a rotating machinery fault diagnosis method based on multi-structure fusion discriminative projection (MFDP) is proposed. MFDP constructed intraclass and interclass hypergraph structures with multivariate relationships, fully revealing the higher-order association information among multiple samples. Besides, a tangential graph structure of MFDP is further constructed by combining the tangential affine of local samples to preserve the local tangential information of the manifold space. In the method, a unified objective optimization model of the discriminative hypergraph structures and local tangential graph structures is developed, and by solving the model, we can obtain fault structure features with well intraclass compactness and interclass separability. Extensive experiments on the Case Western Reserve University bearing dataset and Connecticut gear dataset show that the method has a good diagnostic accuracy of rotating machinery in different working conditions.
Topological synchronisation or a simple attractor?
Authors: Caby Théophile , Gianfelice Michele , Saussol Benoît , Vaienti Sandro 
Published: May 2023

Abstract
A few recent papers introduced the concept of topological synchronisation. We refer in particular to (Lahav et al 2022 Sci. Rep.
12 2508), where the theory was illustrated by means of a skew product system, coupling two logistic maps. In this case, we show that the topological synchronisation could be easily explained as the birth of an attractor for increasing values of the coupling strength and the mutual convergence of two marginal empirical measures. Numerical computations based on a careful analysis of the Lyapunov exponents suggest that the attractor supports an absolutely continuous physical measure (acpm). We finally show that for some unimodal maps such acpm exhibit a multifractal structure.
Process optimization of 4H-SiC chemical mechanical polishing based on grey relational analysis
Authors: Ban Xinxing , Duan Tianxu , Tian Zhuangzhi , Li Yunhe , Zhu Jianhui , Wang Ningchang , Han Shaoxing , Qiu Hui , Li Zhengxin 
Published: May 2023

Abstract
Ultra-smooth and low-damage processing of single-crystalline 4 H-SiC has become a research focus as a substrate for third-generation semiconductor wafers. However, the high hardness and strong chemical inertia significantly affect 4 H-SiC chemical-mechanical polishing (CMP) efficiency and accuracy. In this study, polishing process optimization experiments of 4 H-SiC are conducted based on the grey relational analysis method to achieve low surface roughness (Ra) and high material removal rate (MRR). First, MRR and Ra of Si surface (0001) are obtained by orthogonal experiments considering down force, rotation speed, slurry flow rate and abrasive particle size as four key factors. Then the grey relational coefficient and grey relational grade of MRR and Ra are calculated by data processing. The results show that significant factors of the single-objective process are rotation speed, down force, particle size, and flow rate, while the factors of the multi-objective process are down force, flow rate, rotation speed, and particle size in turn. Finally, the MRR of 208.12 nm h−1 and Ra of 0.391 nm are polished using multi-objective optimization process parameters. The polishing efficiency and accuracy were improved, confirming the applicability of grey relational analysis in CMP.
Change in transition balance between durable tetragonal phase and stress-induced phase of cobalt surface-layered in Bi-2212 materials by semi-empirical mechanical models
Authors: Erdem Ümit , Yildirim Gurcan , Türköz Mustafa Burak , Ülgen Asaf Tolga , Mercan Ali 
Published: June 2023

Abstract
This study has indicated the positive effect of sintering temperature on the mechanical durability, strength, critical stress, deformation degrees, durable tetragonal phase, failure and fracture by fatigue, and mechanical characteristic behavior to the applied test loads for the Co surface-layered Bi-2212 ceramic materials produced by the standard solid-state reaction method. The sintering mechanism has been used as the driving force for the penetration of cobalt ions in the Bi-2212 ceramic matrix. The microindentation hardness test measurements have been performed at the load intervals 0.245 N-2.940 N. The experimental findings have also been examined by the six different semi-empirical mechanical and indentation-induced cracking models. It has been found that all the mechanical performance parameters are improved considerably with increasing the diffusion sintering temperature up to 650 °C. On this basis, the Co surface-layered Bi-2212 sample produced at the sintering temperature of 650 °C has been observed to improve dramatically the mechanical durability and resistance to the applied test loads as a consequence of the formation of new force barrier regions, surface residual compressive stress regions, and slip systems in the Bi-2212 ceramic system. Similarly, the optimum sintering temperature has extensively enhanced the elastic recovery mechanism, critical stress values, and deformation degree levels, stored internal strain, and crack surface energy through the Bi-2212 ceramic materials. Accordingly, it has been noted that the best sample produced at 650 °C is more hardly broken than the other ceramics. Namely, the optimum sintering temperature has decreased the sensitivity to the applied test loads as a result of delaying the beginning of the plateau limit regions. On the other hand, all the mechanism has been found to reverse completely depending on the excess sintering temperature. Lastly, the indentation-induced cracking model has been found to exhibit the closest results to the original Vickers microhardness parameters in the plateau limit regions.
The Dirac equation with
PT
/non-
PT
-symmetric potentials in curved spacetime backgrounds
Authors: Yeşiltaş Özlem , Imane Kouachi Ikram 
Published: June 2023

Abstract
In this paper, we have presented the Dirac equation in the frame of position-dependent mass on two dimensional gravitational static background in the presence of




/non-




-symmetric potential interactions. The exponential metric component have formed the reduced Dirac operator into the general supersymmetric model within mass changing with coordinates. We have obtained the eigenvalues of the Dirac operator for the complex Morse and trigonometric complex Scarf-II potentials SL(2, C) using Lie algebras and the supersymmetric quantum mechanical approaches. Moreover, after obtaining a general Sturm-Liouville type equation using a convenient mapping, the system have become available to be investigated within η- pseudo-Hermiticity. With this context, η operator is found for the examples of complex trigonometric Rosen-Morse potential and complex Morse potentials with real and complex parameters of the initial system and finally the solutions are obtained for each model with the graphics of energy values and probability densities.
The power dependence of the maximum achievable H-mode and (disruptive) L-mode separatrix density in ASDEX Upgrade
Authors: Manz P. , Eich T. , Grover O. 
Published: May 2023

Abstract
In future fusion reactors disruptions must be avoided at all costs. Disruptions due to the density limit (DL) are typically described by the power-independent Greenwald scaling. Recently, a power dependence of the disruptive DL was predicted by several authors (Zanca et al 2019 Nucl. Fusion
59 126011; Giacomin et al 2022 Phys. Rev. Lett.
128 185003; Singh and Diamond 2022 Plasma Phys. Control. Fusion
64 084004; Stroth et al 2022 Nucl. Fusion
62 076008; Brown and Goldston 2021 Nucl. Mater. Energy
27 101002). It is investigated whether this increases the operational range of the tokamak. Increasing the heating power in the L-mode can induce an L-H transition, and therefore a power-dependent DL and the L-H transition cannot be considered independently. The different models are tested on a data base for separatrix parameters at the separatrix of ASDEX Upgrade and compared with the concept (SepOS) presented in Eich and Manz (2021 Nucl. Fusion
61 086017). The disruptive separatrix density scales with the power

n

e

∝

P

0.38
±
0.08

in good agreement to all models. Also the back transition from high to low (H-L) confinement shows an approximately Greenwald scaling with an additional power dependence

n

e

∝

P

0.4

according to the SepOS concept. For future devices operating at much higher heating power such a power scaling may allow operation at much higher separatrix densities than are common in H-mode operation. Preconditions to extrapolation for future devices are discussed.
Boundary-layer aerodynamics over long wind farms over hilly terrains
Authors: Segalini Antonio 
Published: May 2023

Abstract
A wind-tunnel campaign with a wind-farm model over two cosinusoidal hills has been performed to assess the changes in the flow above a wind-farm model in presence of topography. The experiments focused on the three-dimensional velocity field above the turbines to characterise the boundary layer evolution along the farm. The flow over the hills was characterised first without the turbines and compared with potential flow theory with good agreement between the two. The presence of the turbines imposed an upward displacement of the velocity field with similar speed-ups on the hill crests as observed in absence of turbines. The vertical velocity was also quite similar in the windward side of the hills and significantly damped in the leeward side, probably due to boundary-layer separation and shear sheltering operated by the turbine top tips. The presence of free-stream turbulence does not change this qualitative picture, although the turbulent activity within the internal boundary layer is slightly increased. The analysis of the streamwise velocity spectra indicated the emergence of the wake meandering as dominant dynamics and its modulation operated by the topography.
Cross-code verification of non-neutral ABL and single wind turbine wake modelling in LES
Authors: Hodgson E L , Souaiby M , Troldborg N , Porté-Agel F , Andersen S J 
Published: May 2023

Abstract
Large Eddy Simulations (LES) of atmospheric boundary layer (ABL) flow with the actuator disc (AD) for turbine modelling is a widely used method of simulating wind farm flows. Hence, it is important to understand the requirements for achieving a good comparison between ABL flow and turbine wakes between different research group setups, despite unavoidable differences which include LES numerical framework, sub-grid scale (SGS) model, and turbine modelling, and at grid resolutions achievable in large wind farm simulations. In this work, conventionally neutral (CNBL), stable (SBL) and convective (CBL) boundary layers, and single turbine wakes under these different conditions, are compared between the EPFL pseudo-spectral code WIRE LES and the DTU finite-volume code EllipSys3D. ABL profiles largely agree well with hub height velocity magnitudes agreeing to 0.7%, 3.8% and 0.5% for the CNBL, SBL and CBL respectively. The scale-dependent SGS model of WIRE LES results in reduced grid dependency, while EllipSys3D required higher grid resolution in the SBL. Wake flows show improved wake recovery and greater added turbulence intensity with increasing grid resolution, and good agreement is achieved with a radius R to cell size ratio of R/(dxdydz)1/3 ≥ 6.5. Trends in wake flow with different stability conditions, such as the influence of inflow turbulence intensity or shear, are well replicated between codes. Likewise, wake deficit and added TI profiles, and distributions of turbine power and thrust also agree well. Mean power output predictions match to 4.3%, 7.2% and 3.8% in the CNBL, SBL and CBL respectively between the two codes. Overall, these results demonstrate that good agreement is possible with aligned turbine data and sufficient grid resolution.
High-resolution satellite observations to account for coastal gradient in wind resource assessment: application to French coastal areas
Authors: Cathelain M. , Husson R. , Berger H. , Fragoso M. 
Published: May 2023

Abstract
The 18-year database of European Synthetic Aperture Radars (SAR) provides worldwide surface wind measurements at one-kilometre resolution. Through an innovative vertical extrapolation methodology published in 2022, these long-term, wide, and high-resolution observations can complement in-situ observations and mesoscale modelling for offshore wind resource assessment. The methodology is based on four steps: (i) derivation of the 10-min SAR surface winds from SAR sea surface roughness, (ii) a site- and time-independent machine learning algorithm based on a large buoy network to correct SAR winds due to biases inherent to the characteristics of the satellite sensors and wind retrieval methodology, (iii) extrapolation up to a few hundred meters based on a second machine learning algorithm trained with in-situ observations and physical parameters from a high-resolution mesoscale model related to e.g. atmospheric stability, and (iv) a final post-processing step to correct for low temporal sampling of the SAR database (a couple of days in Europe for one satellite) and retrieve wind statistics. The resulting output is a 1-km resolution wind atlas in a large (> 3000 km2) offshore and/or coastal area where strong coastal gradients will be accounted for. It can also integrate directly the estimation of the extractible wind power. Here, an improvement of the extrapolation method is presented and applied to a French offshore area in South Brittany. The wind atlas obtained with SAR is found to display a much finer level of details and estimate more precisely the coastal gradient.