bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evidence for localized onset of episodic mass loss in Mira
Authors: Perrin G. , Ridgway S. T. , Lacour S. , Haubois X. , Thiébaut É. , Berger J. P. , Lacasse M. G. , Millan-Gabet R. , Monnier J. D. , Pedretti E. , Ragland S. , Traub W. 
Published: August 2020

Context. Mass loss from long-period variable stars (LPV) is an important contributor to the evolution of galactic abundances. Dust formation is understood to play an essential role in mass loss. It has, however, proven difficult to develop measurements that strongly constrain the location and timing of dust nucleation and acceleration.
Aims. Interferometric imaging has the potential to constrain the geometry and dynamics of mass loss. High angular resolution studies of various types have shown that LPVs have a distinct core-halo structure. These have also shown that LPV images commonly exhibit a non-circular shape. The nature of this shape and its implications are yet to be understood.
Methods. Multi-telescope interferometric measurements taken with the Interferometric Optical Telescope Array (IOTA) provide imagery of the LPV Mira in the H-band. This wavelength region is well suited to studying mass loss given the low continuum opacity, which allows for emission to be observed over a very long path in the stellar atmosphere and envelope.
Results. The observed visibilities are consistent with a simple core-halo model to represent the central object and the extended molecular layers but, in addition, they demonstrate a substantial asymmetry. An analysis with image reconstruction software shows that the asymmetry is consistent with a localized absorbing patch. The observed opacity is tentatively associated with small dust grains, which will grow substantially during a multi-year ejection process. Spatial information along with a deduced dust content of the cloud, known mass loss rates, and ejection velocities provide evidence for the pulsational pumping of the extended molecular layers. The cloud may be understood as a spatially local zone of enhanced dust formation, very near to the pulsating halo. The observed mass loss could be provided by several such active regions around the star.
Conclusions. This result provides an additional clue for better understanding the clumpiness of dust production in the atmosphere of AGB stars. It is compatible with scenarios where the combination of pulsation and convection play a key role in the process of mass loss.
Calf Vein Thrombosis Comparison of Outcomes for Axial and Muscular Venous Thrombosis
Authors: Kuczmik Wiktoria , Wysokinski Waldemar E. , Hesley Gina K. , Vlazny Danielle T. , Houghton Damon E. , Swanson Keith E. , Casanegra Ana I. , Hodge David , White Launia , McBane Robert D. 
Published: August 2020

Abstract
Background The objective of this study was to characterize clinical features and outcomes among patients with calf deep vein thrombosis (DVT) limited to the muscular veins compared with axial veins.
Methods Consecutive patients with ultrasound confirmed acute DVT involving the calf veins (January 1, 2016–August 1, 2018) were identified from the Gonda Vascular Center ultrasound database. Patients were divided into axial or muscular groups based on thrombus location. Demographics, management, and outcomes were compared.
Results Over the study period, there were 647 patients with calf DVT equally distributed between axial (n = 321) and muscular (n = 326) locations. Within these groups, peroneal and soleal veins were most commonly involved. Nearly all cases were provoked (97%). Synchronous pulmonary embolism (PE) were more common for axial (30.8%) compared to muscular groups (20.2%; p = 0.001); nearly one-third had no pulmonary symptoms. Anticoagulation for a median of 3 months was initiated for 85.5% of both groups. Venous thromboembolism (VTE) recurrence was more common in the axial group (15.9% vs. 7.1%, p = 0.0015) including more frequent DVT propagation (9.4% vs. 3.1%; p = 0.0017) and PE (3.4% vs. 0.6%; p = 0.0168). Major bleeding, clinically relevant nonmajor bleeding, and mortality rates did not differ between groups. Withholding anticoagulation led to more frequent thrombus propagation in the axial group (3.4% vs. 0.9%; p = 0.029).
Conclusion Several important features distinguish muscular from axial DVT. Axial DVT are more likely to have an associated PE and are more likely to experience recurrent VTE, particularly if anticoagulation is withheld.
A Novel Assessment of Factor VIII Activity by Template Matching Utilizing Weighted Average Parameters from Comprehensive Clot Waveform Analysis
Authors: Shimonishi Naruto , Ogiwara Kenichi , Oda Yukio , Kawabe Toshiki , Okazaki Shinji , Shima Midori , Nogami Keiji 
Published: August 2020

AbstractBackground Activated partial thromboplastin time (aPTT)-based clot waveform analysis is used to evaluate the comprehensive dynamics of fibrin clot formation. In addition, the technique can be usefully utilized for the rapid assessment of factor (F)VIII procoagulant activity in various clinical settings in patients with hemophilia A (HA). We defined a novel algorithm based on the weighted average parameters from aPTT-based waveforms to devise a template-matching procedure for assessing FVIII activity (FVIII:C).Methods The first derivatives of original clot waveforms triggered by the aPTT reagent (Coagpia APTT-N) were used to determine weighted averages of areas surrounded by the waveform at different percentages of maximum height in various clotting factor-deficient plasmas. Prepared templates based on 50 weighted average-related parameters were compared with 78 aPTT-prolonged plasmas.Results Original nonsmoothed waveforms of the various clotting factor-deficient plasmas with prolonged aPTTs demonstrated a variety of shapes. The weighted averages were calculated after adjustments for different baselines, and the patterns seemed to be governed by the specific clotting factor deficiency. The weighted average-related parameters including baseline wedge (r 2 = 0.998) and aspect ratio (r 2 = 0.998) were highly correlated with FVIII:C levels. Template-matching analyses based on weighted average-related waveform parameters obtained from 158 samples demonstrated that the sensitivity was 97.2% and specificity was 83.3% in aPTT-prolonged plasmas (n = 78).Conclusion This novel algorithm based on weighted averages of aPTT-based waveforms together with template-matching may support clinical usefulness for judging of HA and may aid clinical management in the patients in the absence of specific clotting factor assays.
How interpreter-translators are assessed and hired in the market
Authors: Kim Hoonmil 
Published: August 2020

Abstract
In South Korea where there is no national accreditation system for translators and interpreters, it is left to the
respective employers to devise and administer an assessment instrument for hiring translators and interpreters. While studies
calling for reliable and valid testing and assessment in the field of Translation and Interpretation Studies have increased during
the past decade, empirical research on how tests and assessments are carried out in the marketplace, especially outside of Europe
and North America, remain scarce. This study closely examines how tests and assessments are carried out at hiring by tapping into
questions of how tests are developed, by whom, and who rates the tests and on which criteria. Then, the soundness of the overall
hiring process is evaluated based on the six qualities of Bachman and Palmer’s Test Usefulness Model; construct validity,
reliability, authenticity, interactiveness, impact, and practicality.
The study found that (1) the hiring process involves three stages of assessment: document screening, interpreting
and translation tests, and one-on-one interview; (2) the interpreting and translation tests are developed, administered and rated
by a combined group of experts: professors of interpreting and translation studies; professional interpreters/translators;
subject-matter experts at the institutions; (3) the overall usefulness of the tests based on Bachman and Palmer’s Test Usefulness
Model is medium to high; and (4) the employers of interpreter-translators look for qualities beyond interpreting/translation
skills upon hiring. The implications of the findings on professional translators and interpreters and educators are discussed,
followed by suggestions for future research.
An empirical study on impact of suggestopedia on student interpreters’ anxiety
Authors: Zhu Yuanyuan , Ruan Hongmei 
Published: August 2020

Abstract
This paper aims to investigate if suggestopedia, a teaching method that advocates “learning with both brains and
learning while relaxing”, could help reduce interpreting anxiety and improve interpreting results when applied to interpreting
classes. By using this teaching method in an experimental class and comparing the interpreting quality with that of the control
class, the paper draws conclusions on the influence of suggestopedia in reducing interpreting anxiety. Two interpreting results
and two questionnaires on interpreting anxiety, one before using the method and the other after, are collected to analyze the link
between suggestopedia and interpreting anxiety. The experiment took place over eight weeks and involved 51 students. The
experiment focused on English-Chinese consecutive interpretation.
The impact of source text presence on simultaneous interpreting performance in fast speeches
Authors: Yang Shanshan , Li Defeng , Lei Victoria Lai Cheng 
Published: August 2020

AbstractThe issue addressed in this study is the impact of source text presence on simultaneous interpreting performance in fast speeches. Fast speech rate is assumed to frustrate even professional interpreters in simultaneous interpreting (SI) without source text (ST) scenario, yet little is known about what happens when the ST is available to interpreters, an interpreting practice of increasing popularity. Previous studies present mixed results concerning the effect of fast speech rate and ST presence on SI quality, which further adds to the complexity of this issue. This study adopted the experimental approach with a qualitative assessment of SI quality, quantisation of output parameters and retrospective interview, to unravel some myths surrounding this issue. The 54 trainees were randomly divided into two groups to interpret two fast Chinese speeches into English under with and without ST conditions. The results found a significant effect of ST presence on the qualitative assessment of interpreting performance, on the interpreting delivery fluency, and on the information completeness. The facilitative effect of ST presence in fast speeches was confirmed while new issues also arise concerning trainee interpreters’ ability in eye-ear coordination.
Deconstructing discourses of diversity
Authors: Song Heejin 
Published: August 2020

Abstract
Despite the growing number of cross-cultural adolescents from immigrants and families formed through international/interracial marriages in South Korea, empirical studies investigating newcomer adolescents’ identity positioning in secondary education have been scarce. Drawing upon Ruíz’s (1984) framework for language policy and planning and Cummins’ (1986, 2001) empowerment framework for minority education, this article investigates how diversity is conceptualised in South Korea through a case study of multicultural education. Specifically, the article examines how newcomer adolescents’ linguistic and cultural identities are perceived by teachers and peers in two high schools. The findings revealed that diversity is dominantly viewed as an impediment to academic success for newcomer youth and is only appreciated once students are fully assimilated into Korean society. The concept of diversity as a resource and right and the notion of multicultural and multilingual identities in the Korean educational context are absent, or hidden, at best. Although there are examples where newcomer learners see diversity as empowerment and resources for their identity construction and positionality, this orientation has not been acknowledged in educational practices. The study calls for conceptualizing diversity as empowerment and resources as ethical lenses to move away from ethnocentric and deficit orientations.
Bilateral difference between lower limbs in children practicing laterally dominant vs. non‐laterally dominant sports
Authors: Guan Yanfei , Bredin Shannon , Taunton Jack , Jiang Qinxian , Wu Lina , Kaufman Kai , Wu Nana , Warburton Darren 
Published: August 2020

ABSTRACTBilateral asymmetry in lower‐limb power and dynamic balance has been associated with increased risk of sport injury, whereas there is a lack of research examining this asymmetry for child athletes. Twenty‐eight fencers (19 boys and 9 girls, aged 9.71 ± 1.08 years) and 28 Taekwondo athletes (19 boys and 9 girls, aged 9.71 ± 1.08 years) were examined on the single‐leg jump and Star Excursion Balance Test (SEBT) performance. A mixed model design ANOVA (2 [Sex: Boys, Girls] × 2 [Sport group: Fencing, Taekwondo] × 2 [Limb: Dominant, Non‐dominant Leg]) was conducted to examine for difference for each test. There was a significant main effect of limb on hop and triple hop distance (p < 0.05). A significant limb by sex interaction (p = 0.000) was shown for the single‐leg countermovement jump (CMJ) performance, wherein a bilateral difference was only shown in boys. In SEBT, a main effect (p = 0.007) of limb was identified for posterolateral (PL) reach distance. A limb by sex interaction (p = 0.009) was also shown for posteromedial (PM) reach distance, wherein a bilateral difference was only shown in girls. These findings suggest that child athletes in both laterally dominant and non‐laterally dominant sports showed inter‐limb asymmetry of leg power and dynamic balance. Sex should be an important consideration when evaluating bilateral difference of leg power and dynamic balance for child athletes.
RETRACTED: Discussion on Optimization and Integration of Network Teaching Resources of College Ideological and Political Courses in the Era of Big Data
Authors: Ting Jiang 
Published: August 2020

Abstract
At the present, the information technology develops with high-speed, the advent of the period of big data allows people to analyse and handle various data generated in production and life, and discover the internal laws of event development based on these data. The operation of big data is helpful for us to grasp the development law of the event better, forecast and assess the future process current of the event. At the same time, the big data thinking mode helps us to get information and learn knowledge more deeply and quickly. If we apply the big data model at the area of college teaching, it will bring about tremendous changes to college education. Nowadays, the ideological and political education in Chinese colleges and universities still maintains traditional classroom education model. Recently, due to the epidemic situation, online education has gradually come into view. In the information age, online education will be the general trend, therefore, the usage of big data in high-school education will receive unprecedented attention. In the era of big data, university ideological and political education should up to date and fully reflect the features of the new age. In addition, we must integrate information technology into all aspects of the educational mechanism, organically combine data thinking with ideological and political education, and contribute to the development of my country’s university education. In this article, the author will discuss the optimization of network teaching resources of high-school ideological and political courses at the period of big data.
Application of Big Data Technology in Construction Organization and Management of Engineering Projects
Authors: Pei Lijian 
Published: August 2020

Abstract
Under the background of modernization construction, the construction engineering industry has also ushered in a new situation of new development. There are new changes in the organizational form and management connotations of its projects, and new challenges in the construction organization and management model. Based on this situation, big data technology is applied to the process of construction organization and management and is supported by relevant industries and advocated by the state. On the one hand, big data technology, which can fully integrate resources and analyze data, can provide the most accurate and comprehensive organization scheme in the construction organization process of the project. It is an indispensab le key link in the application of construction organization of engineering projects at this stage. On the other hand, under the application of big data technology, the management system of the project can be optimized and the refined management system can be improved. Therefore, this article analyzes its basic role and difficulties based on the application status of big data technology in engineering projects at this stage and carries out the following analysis and research on its specific application measures.
Automatic Analysis And Intelligent Information Extraction Of Remote Sensing Big Data
Authors: Li Ge , Jiajun Li 
Published: August 2020

Abstract
Aiming at the problems of low analysis accuracy, incomplete information extraction and low quality of traditional remote sensing data automatic analysis and extraction methods, a new remote sensing big data automatic analysis and intelligent information extraction method is proposed. Automatic analysis of remote sensing big data is realized through the expression, retrieval and understanding of remote sensing big data, and intelligent information extraction is carried out on the basis of automatic analysis of remote sensing big data. According to the procedures of remote sensing data mining, data preprocessing, feature acquisition, target recognition and evaluation, intelligent information extraction can be realized by utilizing the good learnability of convolutional neural network. In order to verify that the proposed method is superior to the traditional method, six different experimental areas are used as experimental objects, and a comparative experiment is designed. Experimental results: The proposed method automatically analyzes and extracts the remote sensing data, which is superior to the traditional method in terms of integrity, correctness and quality.
Research on Grid Data Model Fusion Based on Big Data Extraction Technology
Authors: Ruifeng Zhao , Shiming Li , Yang Liu , Bo Li , Jiangang Lu 
Published: August 2020

Abstract
The task of the electric power Internet of Things is to break through the various obstacles that form an open and shared energy ecology, which needs to be broken through by building an integrated energy system. Besides, the theoretical and practical application of cloud computing-based power big data task scheduling and extraction methods can help power companies to form the effect of resource sharing. Therefore, based on dynamic task priority, a scheduling algorithm is proposed in the paper to dynamically calculate the priority of all tasks, and effectively use idle periods to make tasks execute as quickly as possible to shorten the execution time, which is used for low-latency tasks such as power systems. After experimental analysis and comparison tests with other methods, it proves that the data extraction technology studied in the paper has the best effect and can be used to obtain better data sharing and access results in power companies.
The Application of Big Data Thinking in Ideological and Political Education
Authors: Jin Xiaomeng 
Published: August 2020

Abstract
The arrival of the era of big data has brought new vitality to the teaching of ideological and political education in universities. At the same time, the sparse, redundant and fuzzy features of massive data pose challenges to the application of big data in university ideological and political education. This article describes the establishment of the ideological and political education database, the application of various stages of data analysis in university ideological and political education and how to use the results of big data analysis for educational reflection and teaching reform. Only by using these data reasonably and effectively can the advantages of big data really benefit college teachers and students. At the same time, the problems of data leakage and privacy leakage that may exist in the process of big data analysis should also attract the teachers’ full attention and take appropriate measures to avoid these problems.
Research on construction of Railway Financial Sharing System based on Business-financial Integration
Authors: Dan Ying , Guo Zhida 
Published: August 2020

Abstract
In order to adapt to the need of railway financial reform and innovation and to strengthen the railway financial management advantages and risk control ability, this paper studies the construction of railway financial sharing service system based on the theory of business-financial integration. Combining the business-financial integration with the construction of railway financial sharing service system, this paper puts forward the construction idea, designs the organizational structure and analyses control mode of railway financial sharing service system. The key point is the overall structural design of railway financial sharing service system. And then specific implementation methods are given. Finally this paper explains the development choice path of railway financial staff transformation. The purpose of this paper is to realize the integration of railway operation and finance and to improve the overall operation quality and efficiency of railway system.
Comprehensive Analysis and Mining Big Data on Smart E-commerce User Behavior
Authors: Wang Yinggui , Wang Ben , Huang Yuxin 
Published: August 2020

Abstract
With the gradual development of big data technology and the rapid growth of e-commerce industry, big data comprehensive analysis technology is particularly important. Therefore, the user behavior and historical shopping data have been focused in recent progress of e-commerce industry. Based on e-commerce user data sets, this paper analyzes the user behavior based on Pareto principle (80-20 rule) and RFM data models. By statistically analyzing the behavior characteristics of users, user groups, user preferences, and purchase behavior characteristics, several models and research algorithms have been proposed to service targeted products and functions for e-commerce users, and figure out further research topics of e-commerce.
Application of RBF Neural Network in Navigation Filtering Algorithm
Authors: Yao Wenkai , Xing Liwen 
Published: August 2020

Abstract
As a high-precision and widely used navigation method, satellite navigation can provide users with all-weather and all-time services. In recent years, with the improvement of satellite positioning accuracy requirements, using conventional Kalman filter algorithm to solve the problem can not meet the requirements of high accuracy and low cost of satellite navigation. To solve these problems, this paper proposes the RBF Kalman fusion filtering algorithm. The original data without processing is compared with the results of traditional model and RBF Kalman fusion filtering model through the simulation experiment.The results show that the algorithm can better improve the positioning accuracy.