bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiculturalism in media representation
Authors: Zhang Dan 
Published: March 2022

AbstractThis study explores the issue of multiculturalism in China’s journalism practice through the analysis of news coverage on the Sino-US trade war inChina Daily(CD) and theSouth China Morning Post(SCMP). Following a corpus-based critical discourse analysis approach, the study compares thematic dimensions as well as recurring semantic patterns associated with them that denote two newspapers’ evaluative positioning. The findings reveal that CD’s reporting seems to be nationalistic-centric with overly positive representation of China’s practices and policies, while SCMP’s representation is multiculturalism-oriented with the representation of multiple discourses and articulation of competing and diversified viewpoints towards the evaluation of China’s market access and economic reform. The study concludes by recommending China’s official media practice continues to explore a multiculturalism approach to build dialogues with the international community in tandem with efforts made in promoting political, economic and cultural power.
Doing participatory fandom through trans‑scripting
Authors: Song Yang , Feng Yuhan 
Published: March 2022

Abstract
This article examines trans-scripting in transnational, multilingual fandom on Sina Weibo, the largest Chinese microblogging site. Taking one of the most popular Korean pop music (K-pop) bands named BTS as a case study, 741 instances of trans-scripting were manually selected from a total of 18,243 comments under the official Weibo account of the largest BTS fan club in China. Combining online observation and corpus-based analysis, our study draws on the notions of engaged audience and affinity space to reveal how multiple patterns of trans-scripting are heavily mobilized by K-pop fans in translingual idol naming, the transcultural maintenance of fan-idol kinship, and the intertextual confirmation of shared media consumption experiences. We argue that trans-scripting is an under-explored linguistic strategy used by transnational pop-culture fans, providing an analytical lens for research on fan identity and fan-communal membership. Theoretically, trans-scripting can serve as a useful lens to analyze networked multilingual fandom.
Rapport building by Chinese celebrities on Weibo and Facebook
Authors: Lin Minfen , Wu Doreen D. 
Published: March 2022

AbstractThe paper examines how Chinese celebrities build rapport with their followers on social media, with a comparison between the Chinese mainland (on Weibo) and Hong Kong (on Facebook) celebrities. Rapport building is conceptualized as language use in promoting social bonding and emotional involvement and as achieved via at least two aspects: use of relational acts and choice of interactional features. Twelve months of postings by twelve most-followed Weibo and Facebook celebrities from the Chinese mainland and Hong Kong in 2017 have been retrieved and analyzed. It is found that the prevalent relational acts commonly used by both Weibo and Facebook celebrities to build rapport with their followers include sharing information, retweeting information and directives, among others; and the commonly prevalent interactive features include the use of colloquialism, emoji & emoticons, and hashtags or @, and the like. Nonetheless, significant differences also exist in that while Weibo celebrities tend to use more acts of showing stance, Facebook celebrities use more acts of showing appreciation; Weibo celebrities tend to use more colloquialism, emoji & emoticons, and internet slang, Facebook celebrities tend to use more English codemixing and vernacular expressions. Finally, the paper concludes with a discussion and explanation of the commonalities and differences between Weibo and Facebook celebrities.
‘Suiran danshi’
Authors: Cheng Ruixin , Chen Xinren 
Published: March 2022

Abstract‘Suiran danshi(‘although but’)’ used on Chinese social media is a novel variant of ‘suiran(‘although’)…danshi(‘but’)’, a typical pairing of adversative connectives in Mandarin Chinese. This article hypothesizes that ‘suiran danshi’ is a memetic expression resulting from pragmatic ellipsis and repeated use for special functions in the context of online communication. To verify this hypothesis, the authors collected data from Weibo and WeChat, two most widely used social media platforms in China, and analyzed the use of ‘suiran danshi’ in context. It is argued that as an elliptical form, ‘suiran danshi’ complies with the requirements of the Economy Principle and the Politeness Principle. As a meme, the emergence and popularity of the variant are ascribable to its special functions of teasing and facilitating social bonding, as well as to the vagueness of language use and the richness and complexity of cyber-context afforded by the Internet.
Robust polarization gradient cooling of trapped ions
Authors: Li Wenbing , Wolf Sebastian , Klein Lukas , Budker Dmitry , Düllmann Christoph E , Schmidt-Kaler Ferdinand 
Published: March 2022

Abstract
We implement three-dimensional polarization gradient cooling (PGC) of trapped ions. Counter-propagating laser beams near 393 nm impinge in lin ⊥ lin configuration, at a frequency below the S1/2 to P3/2 resonance in 40Ca+. Our measurements demonstrate that cooling with laser beams detuned to lower frequencies from the resonance is robust against an elevated phonon occupation number and works continuously in the crossover from regular Doppler cooling to detunings of tens of linewidths. It is thus robust against heating events and also works well for an initial ion motion far out of the Lamb–Dicke regime. We show that PGC performance strongly depends on residual micromotion (MM) and find PGC working for a MM modulation index β ⩽ 0.1. Still, we find that the spectral impurity of the laser field affects both, cooling rates and cooling limits. Thus, a Fabry–Pérot cavity filter is employed to efficiently suppress amplified spontaneous emission of the diode laser. We demonstrate mean phonon numbers for a single ion of 5.4(4) at a trap frequency of 2π × 285 kHz and 3.3(4) at 2π × 480 kHz, in the axial and radial directions, respectively.
Measuring brain response to transcutaneous vagus nerve stimulation (tVNS) using simultaneous magnetoencephalography (MEG)
Authors: Keatch Charlotte , Lambert Elisabeth , Woods Will , Kameneva Tatiana 
Published: March 2022

Abstract

Objective. Transcutaneous vagus nerve stimulation (tVNS) is a form of non-invasive brain stimulation that delivers a sequence of electrical pulses to the auricular branch of the vagus nerve and is used increasingly in the treatment of a number of health conditions such as epilepsy and depression. Recent research has focused on the efficacy of tVNS to treat different medical conditions, but there is little conclusive evidence concerning the optimal stimulation parameters. There are relatively few studies that have combined tVNS with a neuroimaging modality, and none that have attempted simultaneous magnetoencephalography (MEG) and tVNS due to the presence of large stimulation artifacts produced by the electrical stimulation which are many orders of magnitude larger than underlying brain activity. Approach. The aim of this study is to investigate the utility of MEG to gain insight into the regions of the brain most strongly influenced by tVNS and how variation of the stimulation parameters can affect this response in healthy participants. Main results. We have successfully demonstrated that MEG can be used to measure brain response to tVNS. We have also shown that varying the stimulation frequency can lead to a difference in brain response, with the brain also responding in different anatomical regions depending on the frequency. Significance. The main contribution of this paper is to demonstrate the feasibility of simultaneous pulsed tVNS and MEG recording, allowing direct investigation of the changes in brain activity that result from different stimulation parameters. This may lead to the development of customised therapeutic approaches for the targeted treatment of different conditions.
An open-source transparent microelectrode array
Authors: Weaver Isaac A , Li Austin W , Shields Brenda C , Tadross Michael R 
Published: March 2022

Abstract

Objective. The micro-electrode array (MEA) is a cell-culture surface with integrated electrodes used for assays of electrically excitable cells and tissues. MEAs have been a workhorse in the study of neurons and myocytes, owing to the scalability and millisecond temporal resolution of the technology. However, traditional MEAs are opaque, precluding inverted microscope access to modern genetically encoded optical sensors and effectors. Approach. To address this gap, transparent MEAs have been developed. However, for many labs, transparent MEAs remain out of reach due to the cost of commercially available products, and the complexity of custom fabrication. Here, we describe an open-source transparent MEA based on the OpenEphys platform (Siegle et al 2017 J. Neural Eng.
14 045003). Main results. We demonstrate the performance of this transparent MEA in a multiplexed electrical and optogenetic assay of primary rat hippocampal neurons. Significance. This open-source transparent MEA and recording platform is designed to be accessible, requiring minimal microelectrode fabrication or circuit design experience. We include low-noise connectors for seamless integration with the Intan Technologies headstage, and a mechanically stable adaptor conforming to the 24-well plate footprint for compatibility with most inverted microscopes.
Criticality of the excess energy cost due to the unit-flux-quantum external field for the (2 + 1)D superfluid–insulator transition
Authors: Nishiyama Yoshihiro 
Published: March 2022

Abstract
The two-dimensional (2D) spin-S = 1 XY model was investigated numerically as a realization of the (2 + 1)D superfluid–Mott-insulator (SF–MI) transition. The interaction parameters are extended so as to suppress corrections to finite-size scaling. Thereby, the external field of a unit flux quantum (Φ = 2π) is applied to the 2D cluster by incorporating the phase factor

e

i

ϕ

i
j

(ϕ

ij
: gauge angle between the i and j sites) into the hopping amplitudes. Taking the advantage in that the exact-diagonalization method allows us to treat such a complex-valued matrix element, we evaluated the excess energy cost ΔE(2π) due to the magnetic flux Φ = 2π explicitly in the SF (XY) phase. As a result, we found that the amplitude ratio ρ
s/ΔE(2π) (ρ
s: spin stiffness) makes sense in proximity to the critical point, exhibiting a notable plateau in the SF-phase side. The plateau height is estimated, and compared to the related studies.
Some problems of protecting the rights of beneficiaries in the execution and termination of a grant agreement awarded by the European Commission
Authors: Slepak V 
Published: March 2022

Abstract
It is obvious now that the objective of strengthening scientific and technological bases is not only the goal of individual states but an objective of integration organisations as well. Europe produces a third of the world’s new knowledge, but creativity and dynamism in the field must be stimulated inter alia by financial means. For this purpose in 2021 Framework Programme Horizon Europe was launched. However there are still questions to be resolved by legal science and practice in order to clarify legal rules covering relations between parties to grant agreement concluded under EU law. Some of that matters deal with the rules governing the process of repayment of funds received by a Beneficiary from the European Commission under a grant agreement. In this paper the author analyses legal nature of documents issued by the Commission in order to get the financing back and requirements applicable to the content of such documents. The author studies possible arguments for and against qualification of Commission documents containing demands of the repayment as a legal acts of the EU institution challengeable under Article 263 Treaty on the Functioning of the European Union and analyses possible requirements to the content of such documents from the perspective of future court proceedings.
Mechanism of regulatory sandboxes for legal regulation of megascience class facilities operations
Authors: Balyakin A A , Nurakhov N N , Nurbina M V 
Published: March 2022

Abstract
The paper considers the features of the unique scientific facilities network that is being formed within the framework of the national project “Science”. Such projects are a complex enterprise that requires a specific management apparatus and appropriate information and legal support. The prospects of implementing the best practices in the activities of high-flux research nuclear reactor PIK are considered. In particular, the mechanism of protection of the created objects of intellectual property, possible ways of evaluation, examination and commercialization of the results of scientific research are discussed. The possibility of using the mechanism of regulatory sandboxes for specific financial products arising as a result of the activities of a megascience class installation (for example, a mechanism for insuring the results of production within the framework of experiments, a procedure for protecting intellectual rights) is discussed. It is shown that experimental legal regimes are widely used in world practice and are a catalyst for the development and implementation of innovations. It is proposed to focus not only on the experience of advanced countries (such as EU, and the USA), but also on the approaches of developing countries that are creating their own scientific infrastructure (Brazil, Argentina). Regulatory sandbox implementation proposals in the field of megascience facilities regulation are formulated. The idea of the need to create exclusively unique products and abandon all options for mass production is expressed, the latter involves considering megascience facilities as unique not only in the scientific sense, but also in the field of legal regulation.
A MegaScience class experimental complex at the University
Authors: Zadeba E A , Petrukhin A A 
Published: March 2022

Abstract
In the classification of the Ministry of Science and Higher Education in the National Project “Nauka” (2018), the concept of MegaScience is the name of a class of unique scientific installations, and in general terms, these are large expensive international scientific and research complexes for solution of actual scientific problems. It is emphasized that world-class breakthrough research is impossible within the framework of one university or organization, without attracting multi-billion budgets. However, the practice of MEPhI shows that it is possible to construct the unique scientific installations and to achieve results comparable to the largest international projects within a university in cooperation with other Russian and foreign organizations.
Improving the Funding of Megascience Projects under Current Budget Policy of Russia
Authors: Moshkova D M , Tkachenko R V 
Published: March 2022

Abstract
The article looks at the peculiarities of funding national projects and large-scale scientific projects as part of adoption of innovative economic model of the society’s development. In particular, funding of mega-science projects in Russia and abroad and its specifics has been studied. Particular examples of financial activities undertaken by the entities implementing mega-science projects like PIK and NICA have been provided. Ways to improve the funding of this sphere have been specified.
A Single Channel End-to-End Speech Enhancement using Complex Operations
Authors: Wu Jie , Liu Hongqing , Gan Lu , Zhou Yi 
Published: March 2022

Abstract
This paper investigates the possibility of using complex operations to perform speech enhancement task in time domain. To that end, first, the Hilbert transform is utilized to prepare the complex input in time domain. After that, the complex temporal convolutional network (CTCN) is developed to conduct complex convolutions. By cascading the TCN and the CTCN modules, the final proposed network form an encoder-decoder structure, which performs an end-to-end speech enhancement task. The results demonstrate that utilizing complex information in time domain indeed improves the enhancement performance. Compared to other approaches, the proposed network also demonstrates a superior performance in terms of objective evaluations.
Wireless Communication Strategy with BATS Codes for Butterfly Network
Authors: Wang Shiheng , Zhou Quan , Yang Siyuan , Bai Chaoyuan , Liu Heng 
Published: March 2022

Abstract
In this paper, two transmission schemes for batched sparse(BATS) codes based on a multicast protocol in a butterfly network are studied. For both of the schemes, a source file is first segmented into several packets at the source node, which are then coded with outer coder of the BATS codes to generate potentially unlimited batches. Rather than the linear network, in which the packets are directly transmitted to the next node, the packets will be forwarded to multiple nodes in the butterfly network. All the intermediate nodes which receive the packets recode them with random linear network coding (RLNC). At the destination node receivers, the sink node decodes the packets transmitted from different links. The Scheme I requires the intermediate nodes to recode the packets until all of them are received. On the contrary, the intermidate nodes of Scheme II just recode the packets as soon as receiving them and forward the recoded packets to the next node immediately. The Belief Propagation(BP) decoders of these two schemes are studied and applied to Scheme I and Scheme II respectively. The simulation results show that Scheme I consumed fewer batches than Scheme II, which indicates Scheme I outperforms Scheme II.
A Knowledge Base-based Method for Line Loss Abnormality Diagnosis in Station Area and Automatic Generation of Loss Reduction Measures
Authors: Ni Linna , Yao Li , Ding Qi , Zhang Jiangming 
Published: March 2022

Abstract
In view of the current low efficiency of line loss abnormality analysis and the inability to automatically generate loss reduction strategies, this paper proposes a knowledge base-based method for the abnormality diagnosis of line loss and automatic generation of loss reduction strategies. In this study, the research on line loss in station area at home and abroad is summarized, the classification of line loss abnormality is sorted out. Combined with the operation status of low-voltage distribution network and the current status of line loss, the intelligent diagnosis method of line loss abnormality is proposed and line loss reduction strategies is automatically generated according to the classification of line loss abnormality, which provide a decision-making support for improving the lean level of line loss control in the station area. Through application system development and display, the effectiveness of this method is verified.
Diagnosis of Interturn Short Circuit of Permanent Magnet Synchronous Motor Based on Stacked Normalized Sparse Autoencoder
Authors: Chen Yunfeng , Li Yuanjiang 
Published: March 2022

Abstract
Regarding the problems such as the traditional auto-encoders’ tendency to learn the similar features during the feature extraction and limited capability of feature learning in the shallow network models, the paper puts forward an interturn short circuit diagnosis method for Permanent Magnet Synchronous Motor (PMSM) based on the Stacked Normalized Sparse Autoencoder (SNSAE). The method is to guarantee the representativeness of the extracted features, acquire stronger anti-interference capability, and is more suitable for training diversified and large-capacity mechanical equipment failure data. Four types of Inter-Turn Short-Circuit (ITSC) fault data were collected on the PMSM fault diagnosis experimental platform for testing. The experimental outcome suggests that the SNSAE algorithm can effectively extract the fault features, and the fault diagnosis effect is better than the traditional intelligent diagnosis method, and its diagnosis accuracy is as high as 98.91%.
Analysis of the Impact of Substation Switching Operations on 5G Base Station Antenna Feeder Ports
Authors: Wang Zhihui , Liu Shulei , Zhang Ying , Hu Yue , Zhu Sicheng 
Published: March 2022

Abstract
With the rapid development of the construction and application of 5G communication networks in the power grid, more and more 5G base stations need to be built in substations. 5G base stations have antennas placed outside in a complex electromagnetic environment, and they also become sensitive ports that induce external electromagnetic interference while sending and receiving signals. Especially the Electrical Fast Transient/Burst generated during the switch operation in the substation through the cable connecting the antenna and the base station equipment, at the antenna feeder port, generates electromagnetic disturbance that poses a potential threat to the operation of the equipment. This paper proposes an analysis method of an electromagnetic disturbance at the antenna feeder port of a 5G base station under the condition of switching operation of a substation. A 500kV substation is used to calculate the impact size, and the minimum distance between the antenna of the 5G base station and the switch operation device is determined. When the distance between the cable and the ground is two meters, the cable disturbance voltage reaches the maximum.
Research on Multi Charging Path Planning for Network Layout
Authors: Huang Shan , Zuo Yahui , Liu Xiaolu 
Published: March 2022

Abstract
With the development of Internet of things, Rechargeable Wireless Sensor Network (WRSN) has been widely used. In order to keep the WRSN working, the mobile charger needs to be charged regularly. This paper studies the practical problems of WRSN charging. Aiming at the problem of path and battery capacity planning under complex constraints of multiple chargers, using the traditional MTSP model for reference, the minimum energy consumption path and battery capacity planning model under multiple chargers are established, and the equilibrium factor is creatively designed and applied. Considering the NP-hard characteristics of the problem, an improved genetic algorithm based on Balance degree is designed to solve it. Finally, four cases are tested and compared with the traditional genetic algorithm. The results show that the improved genetic algorithm saves 31.56% of the total distance on average compared with the traditional algorithm, and has better stability and better optimization ability. The results are reasonable and have wide application value.
An Automatic Marking Method Based on Object Detection Algorithm in Aerial Images
Authors: Ou Zuhao , Liu Changhua , Jiang Da 
Published: March 2022

Abstract
Aerial images of brassica napus in field were taken by UAV equipment but often contained unnecessary areas, which caused interferences and inconveniences to the subsequent study of identification of flowering stage by brassica napus images. To solve above problems, YOLO-V4 object detection algorithm based on Convolutional Neural Network (CNN) is adopted to build a model to detect brassica napus distribution area in aerial images, and model is trained iteratively by training data sets and setting initial parameters. As a result, the mean average precision (mAP) of the object detection model reached 96.24%, and the average loss is only 0.5843. In addition, the generalization and robustness ability of model have been evaluated by testing data sets. Conclusion shows the model proposed in this paper can indeed achieve an application of object detection and automatic labeling in aerial brassica napus images with a good performance.