bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analogy and explicit motor learning in dynamic balance: Posturography and performance analyses
Authors: Kim Sung‐Min , Qu Feng , Lam Wing‐Kai 
Published: September 2020

AbstractUnlike explicit learning, analogy learning allows learners to acquire skills with a movement metaphor with fewer verbal knowledge accumulated during early learning, resulting in less reliance on cognitive resources for better motor performances. However, the efficacy of analogical instruction on balance is still unclear. This study examined learning and subsequent performance (including posturography) of a Y‐balance task by explicit and analogical instructions. Forty female undergraduates were randomly assigned either into analogy (n = 20) or explicit (n = 20) learning. Both group learners completed pre‐learning test‐block on Day 1 (6 trials), five consecutive learning blocks from Days 3 to 7 (135 trials) and followed by test‐blocks on Day 9 (retention 1 – dual‐task – retention 2 design, 18 trials). Maximum reaching distances in anterior, posterolateral and posteromedial directions were measured to indicate Y‐balance performance. During test‐blocks (pre‐learning, retention 1, dual‐task, retention 2), CoM displacement and CoP excursion were quantified with the motion capturing system and force platform, respectively. Results indicated that maximum reach distances of two groups increased across learning days (p < .001). During test‐blocks, explicit learners reduced maximum reaching distances under the dual‐task test than the retention test 1 (p < .001), while analogy learners remained robust performance across test‐blocks (p = .071). Moreover, analogy learners reported fewer explicit knowledge and demonstrated better counting backward performance than explicit learners. These findings suggest that introducing an analogical instruction in dynamic balance training is feasible and has implications to develop balance training strategies for injury prevention and performance enhancement.
Simple scheme generating an axisymmetrically anisotropic initial flow of incompressible turbulence using a normal random number vector
Authors: Suzuki Hiroki , Hasebe Koudai , Hasegawa Yutaka , Ushijima Tatsuo , Mochizuki Shinsuke 
Published: September 2020

Abstract
The present study introduces a simple scheme for generating an axisymmetrically anisotropic incompressible initial flow. In addition, the proposed scheme is used to examine the effects of kinetic energy conservation errors on the time evolution of the anisotropic initial flows. In the analysis of the present study, an inviscid flow is analyzed. In this inviscid flow, the kinetic energy characteristics are known analytically. The kinetic energy conservation error is obtained using the Crank-Nicolson (CN) method. The scheme of the present study generates an axisymmetrically anisotropic initial flow by obtaining the weights of normal random vector components using an anisotropic parameter. The analysis of the flow field is performed using a fourth-order differential scheme that explicitly conserves kinetic energy with a fourth-order Runge-Kutta scheme. Because of the kinetic energy conservation error, the kinetic energy obtained using the CN method increases with time. The magnitude of the initial anisotropy obtained by this scheme decreases with time. This result is only slightly affected by kinetic energy conservation errors. On the other hand, kinetic energy conservation error affects the magnitude of the pressure-strain correlation term.
Tunnel image stitching based on geometry and features
Authors: Wang Zhaoyuan , He Li , Li Taosheng , Tao Jian , Hu Chengxue , Wang Mochuan 
Published: September 2020

Abstract
In the fast tunnel detection of multi-camera, a disease distributed in multiple images is prone to be misidentified as multiple diseases, which affects the evaluation of the status of the tunnel. This paper proposes a high-precision stitching method driven by data and scene based on multi-camera sequence images. Firstly, geometric rough calculation is performed to generate the theoretical stitching mode using the geometric positional relationship between the cameras in the scene and the image relationship is renewed after theoretical stitching. Secondly, feature points are extracted and matched for adjacent overlapping images by SURF algorithm. Therefore, pixel-level data registration is performed to achieve the image stitching. Finally, an integrated stitching mode is proposed based on the theoretical stitching and pixel-level data registration, which utilizes the stitched sequence images with high physical resolution to extract cross-section information. Practical results show that the method can achieve image stitching of the tunnels with high accuracy and good reliability.
A dual-band amplitude shift-keying terahertz encoder based on 2DEG metamaterial
Authors: Shi Xintong , Zeng Dehui , Huang Wei , Yin Shan , Guo Ling 
Published: September 2020

Abstract
The amplitude shift keying (ASK) is a significant technique in communications. We propose a terahertz encoder based on the 2-dimensional electron gas (2DEG) metamaterial, which can complete ASK in the 0.43 THz and 0.81 THz independently. The ON/OFF ratio of the encoder in each band is more than 86%. The research is helpful in promoting terahertz technology and next-generation communications.
Research on “concentric drum” project based on discrete model
Authors: Xiong Lingyi , Shi Linsong , Xu Wenwen 
Published: September 2020

Abstract
The “concentric drum” project tests team members’ ability of cooperation, and the team members can hit the ball more times by working together. It is a typical dynamic problem. In this paper, the complete elastic collision model and the drum surface segmentation model are established to complete the discrete model. Through the optimization of the system, the good solution results of the problem are obtained gradually. The “concentric drum” strategy based on the discrete model has a certain reference for the solution of dynamic problems.
Flag-transitive point-primitive 2-designs with socle A5
Authors: Tian Delu , Li Guiqiu 
Published: September 2020

Abstract
Let D be a non-trivial 2-(v, k, λ) design with a flag-transitive, point-primitive automorphism group G of almost simple type. If Soc(G) = A5, one of the alternating groups, then there are precisely 3 such non-isomorphic 2-designs.
Epileptic EEG information entropy based on different entropy estimation methods
Authors: Li Min , Fang Yunjie , Zhang Yu , Zhang Yiling , Chen Junwei , Zhu Bingxin , Yan Wei , Wang Jun 
Published: September 2020

Abstract
We use the information entropy based on linear model, K-nearest neighbour estimation and kernel estimation to study the brain, a complex nonlinear dynamic system, and distinguish the nonlinear dynamic complexity of epileptic and normal EEG signals in Bonn database. The entropy estimation method of linear model and K-nearest neighbour estimation can only distinguish the information entropy of epileptic period from that of other two cases, but it can’t distinguish the information entropy of epileptic interval and normal EEG signals. However, kernel estimation can distinguish the information entropy of EEG signals in three states well, and the threshold range is [0.1,3]. With the increase of threshold, the discrimination effect is gradually significant until stable, and the discrimination effect is obvious when the threshold is 0.5. The result of analysis indicated that EEG information entropy was the highest in the epileptic seizure period, followed by the epileptic seizure interval, and the lowest in normal human brain.
Recognizing Chinese judicial named entity using BiLSTM-CRF
Authors: Tang Pin , Yang Pinli , Shi Yuang , Zhou Yi , Lin Feng , Wang Yan 
Published: September 2020

Abstract
Named entity recognition (NER) plays an essential role in natural language processing systems. Judicial NER is a fundamental component of judicial information retrieval, entity relation extraction, and knowledge map building. However, Chinese judicial NER remains to be more challenging due to the characteristics of Chinese and high accuracy requirements in the judicial filed. Thus, in this paper, we propose a deep learning-based method named BiLSTM-CRF which consists of bi-directional long short-term memory (BiLSTM) and conditional random fields (CRF). For further accuracy promotion, we propose to use Adaptive moment estimation (Adam) for optimization of the model. To validate our method, we perform experiments on judgment documents including commutation, parole and temporary service outside prison, which is acquired from China Judgments Online. Experimental results achieve the accuracy of 0.876, recall of 0.856 and F1 score of 0.855, which suggests the superiority of the proposed BiLSTM-CRF with Adam optimizer.
Study on stock market volatility spillover effect based on TVP-VAR model
Authors: Zhang Xiaowan , Yi Ronghua , Wang Ying 
Published: September 2020

Abstract
Utilizing time-varying VAR model and impulse response analysis, we examine the dynamic impact of volatility from foreign companies listed and their contribution to the main stock market in Japanese, Korean, Hong Kong and Singapore markets during the period of 20002018. We find that the host markets have a positive response to volatility effects of foreign companies, more specifically, the increase of the foreign company volatility will cause the increase of the host market volatility. Results show that volatility of foreign companies from mature markets did not cause more volatility in host markets. Interestingly, foreign companies from emerging markets will bring stronger volatility spillover to host markets.
Study and application of a new method for predicting the production of low rank CBM wells
Authors: Liu Lingli , Cui Zehong , Wang Jianjun , Xia Zhaohui , Peng Xianqiang 
Published: September 2020

Abstract
Due to many factors affecting the production of low rank coalbed methane (CBM), it is difficult to predict the productivity. The difference of production ramp-up period is large, the fitting of peak production and peak date is difficult, and the efficiency of existing production prediction methods is limited. Based on the characteristics of typical curves of CBM, a new method is established in this paper. Based on the previous accurate history match of reservoir simulation and analysis of the characteristics of typical curves of production index, water gas ratio, pressure and cumulative water production of typical wells, a rate-cumulative water-method (RCM) mathematical model is established by using non-linear fitting method. The mathematical model is determined by historical fitting. The model parameters can predict the output of CBM quickly and accurately, and provide the production prediction data for the scheme formulation and field decision-making. Compared with other prediction methods, RCM improves the history fitting through correlation analysis, improves the reliability of prediction results. It can predict gas well production in both production ramp-up and declining periods. It does not need to update the reservoir model and is less time-consuming. So it is particularly suitable for predicting the production for a large number of wells in a short time. By comparing the production history of CBM wells in “A” block, the accuracy of RCM prediction result is verified.
Team cooperation research based on complex network method
Authors: Wang Junxiao , Fan Long , Wang Zhaoyang 
Published: September 2020

Abstract
Football is one of the sports that can reflect the importance of teamwork. The passing on the football field can be regarded as a closely connected network. This paper takes Everton as the research object, and a passing network is set up with players as nodes. Based on the method of complex network, this paper summarizes the tactical style of the team from the perspective of the whole season. At the same time, this paper selects two representative games and analyzes them dynamically according to minutes, and finds out the problem that the team does not implement the passing tactics in place. In addition, this paper constructs node performance evaluation indicator system, from three aspects of attack, transmission and defense, using AHP to determine the weight, in order to evaluate player’s personal ability. According to the network model and performance evaluation system, we give some suggestions from the formation, tactics and players. The 4-2-3-1 formation get the highest evaluation. The tactics of passing and defending counterattack should be designed. In addition, the Everton is necessary to introduce some midfields and left defenders.
Dynamics of an infection-age model with staged-progression
Authors: Zhang Suxia , Li Fei , Xu Xiaxia 
Published: September 2020

Abstract
We introduce and analyze an age-structured model with staged-progression. The results reveal that the disease-free equilibrium is globally stable if the basic reproductive number R0
< 1, and the disease is uniformly persistent for R0>1. Numerical simulations are performed based on hepatitis C, illustrating the effects of infection age on dynamical process.
Study on comparison of the advantages of different soybean producing areas in China from a temporal and spatial perspective
Authors: Wang Yu , Xu Shiwei , Li Ganqiong , Wang Shengwei 
Published: September 2020

Abstract
As one of the important oil crops in China, soybean plays a significant place in the national food security system. This article analyzes the comparative advantages of soybean producing areas in China and further divides the advantage of soybean production into the advantage of scale and the advantage of efficiency. In addition, it adopts the advantage index to objectively describe the advantageous areas of soybean production and the comparison of scale advantage and efficiency advantage in these areas since 1978. Through the research, the article obtains the following findings: (1) Since the Reform and Opening Up, scale advantage has still been the determinant to the soybean production advantages of an area. While soybean production has been even more concentrated in soybean producing areas of Heilongjiang and Inner Mongolia, the efficiency advantage index in these two provinces has not been improved in the same pace. (2) The status of efficiency advantage has been constantly rising in other producing areas with the most comparative advantage (other than Heilongjiang and Inner Mongolia) and those with the least comparative advantage. The disadvantageous producing areas have gradually bettered the suitability of soybean production through breeding of fine varieties and high-quality cultivation. (3) The disadvantageous soybean producing areas can become the advantageous areas of soybean production depending on efficiency advantage, and the soybean producing areas with scale advantage can further improve their efficiency of soybean planting. This research provides a scientific reference for the regional deployment of soybean planting in China as well as a scientific basis for policy making.
Chi-square analysis of people’s knowledge of balanced diet and aerobic exercise at different stages of type 2 diabetes mellitus
Authors: Hu Ziquan , Xiong Yufang , Peng Zhiwei 
Published: September 2020

Abstract
Patients with Type 2 Diabetes Mellitus (T2DM) die every eight seconds in the world. T2DM is still not eradicated at home and abroad at present, thus “just control”. A balanced diet and aerobic exercise (intervention treatment) can reduce risk factors and the incidence of diabetes and diabetic complications, which prevents or delays the onset and progression. The survey of people’s knowledge of balanced diet and aerobic exercise has been conducted in Luzhou, Neijiang, Nanchong and Ziyang of Sichuan province and Tongren of Guizhou province from June to September 2019. A total of 865 subjects’ questionnaires have been collected. Taking prediabetes as baseline, people’s knowledge difference of balanced diet and aerobic exercise is compared forwards in low- or high-risk stage and backwards in the diabetes stage and diabetic complication stage through Pearson χ
2 test and the correlation coefficient Cramer’s V and Φ. The knowledge difference in prediabetes and high-risk (χ2=4.2996, p=0.0224, Cramer’s Φ=0.1038) is statistically significant, and the difference in prediabetes and diabetic complications (χ2=231.5272, p< 0.0000001, Cramer’s Φ=0.5905) is also statistically significant. Knowledge of balanced diet and aerobic exercise at prediabetes stage is significantly higher than that in high-risk and that in diabetic complications. Doctors, nurses and researchers should use the Internet and door-to-door to educate people about the importance of balanced diet and aerobic exercise during prediabetes and diabetic complications in T2DM.
Analysis on the influencing factors of China’s tourism economy from the perspective of aging and tourism culture
Authors: Zhang Hui 
Published: September 2020

Abstract
The empirical analysis of this paper focuses on two issues, one is the impact of China’s aging process on China’s domestic tourism economy, and to what extent; the other is how to define and measure the impact of tourism culture on tourism economy. This research takes the domestic tourism revenue as the dependent variable and takes the elderly dependency ratio as the indepedent variable. In the modelling process, “external conditions” and “internal desires” are introduced as control variables and regarded as the software and hardware parts of tourism culture respectively. The time dummy variable is used to catch outliers and structural abrupt changes. Furthermore, quantile regression is carried out for the selected models. Based on ADL model and quantile regression, this paper analyzed the influence of aging and tourism culture on the development of China’s tourism economy and its changing trend.
A generalized model for social collaboration networks
Authors: Deng Chunhui , Liu Jing , Deng Huifang 
Published: September 2020

Abstract
In this paper, we constructed a three-parameter general social collaboration network model (GCNM) using both similarity-based strategy and copying-based strategy. In this model, a connection can be introduced between two nodes if they are similar in attributes or similar in structure (i.e., have many common friends). This model can match various types of real-world social networks by just choosing different values for three parameters, and therefore, can reproduce observed real network characteristics. Particularly, three widely studied models (similarity-based, copying-based, and pure preferential attachment (PA)) are only the special cases of this new model. Specifically, this new model possesses following new characteristics which existing models have difficulty to fulfill in all: 1) it not only exhibits the high average clustering coefficient, but also the high global clustering coefficient and explicit community structure (great number of triangles); 2) it not only makes the connections between the new node and existing nodes, but also between existing nodes; and 3) it has not only linear, but also non-linear relationship between the linking probability and the degree (the connectivity of nodes). Numerical results, which are in good agreement with real-world datasets from different fields, demonstrated all of these.
Tunable and precise two-bunch generation at FLASHForward
Authors: Schröder S , Ludwig K , Aschikhin A , D’Arcy R , Dinter M , Gonzalez P , Karstensen S , Knetsch A , Libov V , Lindstrøm C A , Marutzky F , Niknejadi P , Rahali A , Schaper L , Schleiermacher A , Schmidt B , Thiele S , Wagner A de Zubiaurre , Wesch S , Osterhoff J 
Published: September 2020

Abstract
Beam-driven plasma-wakefield acceleration based on external injection has the potential to significantly reduce the size of future accelerators. Stability and quality of the acceleration process substantially depends on the incoming bunch parameters. Precise control of the current profile is essential for optimising energy-transfer efficiency and preserving energy spread. At the FLASHForward facility, driver-witness bunch pairs of adjustable bunch length and separation are generated by a set of collimators in a dispersive section, which enables fs-level control of the longitudinal bunch profile. The design of the collimator apparatus and its commissioning is presented.
Angstrom wavelength FEL driven by 5 GeV LWFA beam with external injection
Authors: Rossi A R , Petrillo V , Bacci A , Chiadroni E , Cianchi A , Ferrario M , Giribono A , Conti M Rossetti , Serafini L , Vaccarezza C 
Published: September 2020

Abstract
We report on simulation results relevant both for EuPRAXIA@SPARC LAB [1] and EuPRAXIA [2] showing how to boost a high brightness electron bunch, delivered by a conventional accelerator at 500 MeV, up to 5 GeV and more by external injection in a laser driven plasma wave. Beam slice quality is preserved along acceleration and the bunch is shown to be able to drive a Free Electron Laser at 1 Å wavelength. We also show two methods to evaluate global bunch parameters, one for energy spread, the other for emittance, allowing to exclude particles in halos and tails in a consistent way. Both methods are easily implemented in computational codes, are statistically robust and failure free.
Setup and Characteristics of a Timing Reference Signal with sub-ps Accuracy for AWAKE
Authors: Batsch Fabian 
Published: September 2020

Abstract
We describe a method to overcome the triggering jitter of a streak camera to obtain less noisy images of a self-modulated proton bunch over long time scales (~ 400 ps to ns) with the time resolution (~ 1 ps) of the short time scale images (73 ps). We also determine that this method, using a reference laser pulse with a variable delay, leads to the determination of the time delay between the ionizing laser pulse and the reference pulse with an error of 0.6 ps (rms).
Geometric optimization study for a Dielectric Laser Accelerator
Authors: Yadav Gyanendra , Resta-López Javier , Welsch Carsten , Xia Guoxing 
Published: September 2020

Abstract
The quest to realize a particle accelerator on a chip has led to the emergence of dielectric laser accelerators (DLAs). DLAs have the capability for sustaining accelerating gradients in the GV/m regime using grating-shaped dielectric microstructures. The geometry of these microstructures is one of the decisive features affecting the accelerating gradient and energy gain. Here we present an optimization study comparing the performance of different geometrical configurations of dielectric microstructures through particle in cell (PIC) simulations, for both non-relativistic and relativistic regimes. Assuming electron beams with energies of 28 keV and 1 MeV, excited by a laser with a wavelength of 2 ¼m, pulse length of 100 fs and electric field of 1.5 GV/m, we show that even when grating parameters are the same, the design of the shape/structure plays a crucial role in the enhancement of energy gain and efficiency.
A Ka-band linearizer TW accelerating structure for the Compact Light XLS project
Authors: Behtouei M. , Faillace L. , Ferrario M. , Spataro B. , Variola A. 
Published: September 2020

Abstract
In the framework of the Compact Light XLS project, we have designed a higher harmonic RF accelerating structure in order to linearize the longitudinal space phase. The design of this compact Traveling Wave (TW) accelerating structure operating on the third harmonic with respect to the linac frequency (11.994 GHz) with a (100-125) MV/m accelerating gradient is presented, together with numerical electromagnetic simulations were carried out by using the numerical codes High Frequency Structure Simulator (HFSS) and CST Particle Studio.