bluuebunny/crossref_metadata_2025_split huggingface dataset:
An ethno-linguistic dimension in transnational activity space measured with mobile phone data
Authors: Mooses Veronika , Silm Siiri , Tammaru Tiit , Saluveer Erki 
Published: November 2020

AbstractIn addition to permanent migration, different forms of cross-border mobility were on the rise before the COVID-19 pandemic, ranging from tourism to job-related commuting. In this paper ethno-linguistic differences in cross-border mobility using the activity space framework are considered. New segregation theories emphasise that segregation in one part of the activity space (e.g. in residential neighbourhood) affects the segregation in other parts of the activity space (e.g. in workplace), and that spatial mobility between activity locations is equally important in the production and reproduction of ethnic inequalities. Until now, segregation in activity spaces has been studied by focusing on daily activities inside one country. In reality, an increasing number of people pursue their activities across different countries, so that their activity spaces extend beyond state borders, which can have important implications for the functioning of ethno-linguistic communities and the transfer of inequalities from one country to another. This study takes advantage of mobility data based on mobile phone use, and the new avenues provided for the study of ethno-linguistic differences in temporary cross-border mobility. Such data allow the study of different cross-border visitor groups—tourists, commuters, transnationals, long-term stayers—by providing the means to measure the frequency of visits and time spent abroad, and to link together the travel of each person over several years. Results show that members of the ethno-linguistic minority population in Estonia make more trips than members of the ethno-linguistic majority, and they also have higher probability of being tourists and cross-border commuters than the majority population, paying frequent visits to their ancestral homelands. The connections between ethno-linguistic background and temporary cross-border mobility outlined in this study allows for future discussion on how (in)equalities can emerge in transnational activity space and what implications it has for segregation.
La variation diatopique dans les expressions figées spécialisées
Authors: Navarro-Brotons Lucía , Cuadrado-Rey Analía 
Published: November 2020

RésuméEn partant de l’hypothèse que chaque variété dialectale traduit l’idiosyncrasie des différentes cultures, nous abordons la variation des unités phraséologiques spécialisées de l’espagnol de l’Espagne péninsulaire (EP) et de l’espagnol du Venezuela (EV) dans des arrêts de pourvois en cassation en matière civile. Le travail qui suit présente brièvement les ordres juridiques, compare les superstructures des arrêts, extrait et compare les expressions figées spécialisées, à la lumière de la linguistique de corpus, pour détecter leurs similitudes et leurs différences. Cette analyse démontre : (1) l’existence de variations lexicales aussi bien au sein d’une variété d’espagnol qu’entre deux variétés d’espagnol (2) l’espagnol vénézuélien présente plus de formulations synonymes pour ce qui est de la partie demandante et (3) les usages des expressions figées spécialisées diffèrent chez les juristes qui assistent les parties concernées et qui interviennent pendant la procédure.
Phraséologie spécialisée et variation sociolinguistique
Authors: Le Poder Marie-Évelyne 
Published: November 2020

Résumé
Cet article s’intéresse à la variation sociolinguistique des unités phraséologiques spécialisées (UPS)
contenues dans un corpus textuel en langue espagnole traitant du cancer de la peau dans différentes situations de communication : l’une
d’émetteur spécialiste à récepteur spécialiste et l’autre d’émetteur spécialiste à récepteur grand public. Il s’insère dans le contexte
d’une recherche menée sur ce thème dont les premiers résultats sont présentés. Ces différents contextes communicatifs et sociaux influent
sur l’usage de la langue de la part de l’émetteur qui se doit de développer des stratégies discursives adaptées à son récepteur-cible dont
les profils sont hétérogènes.
Novel conductive polymer composites based on CNTs/CNFs bridged liquid metal
Authors: Pan Xudong , Guo Dengji , He Hu 
Published: November 2020

Abstract
Conductive polymer composites (CPCs) are vital and indispensable for the emerging field of soft electronics. In this work, a new strategy for using carbon nanotubes (CNTs)/carbon nanofibers (CNFs) and liquid metal droplets as multiphase hybrid fillers for CPCs is presented. We found that CPCs with multiphase hybrid conductive fillers had advantages in electromechanical properties over those with single solid-phase conductive fillers. CNTs/CNFs can easily form conductive paths in the polymer due to their excellent electrical conductivity with large aspect ratio. Self-repair of conductive networks was realized since the exposed Galinstan under strains could bridge the gap between CNTs/CNFs to form new conductive pathways. In addition, the influences of the size and content of conductive fillers on the electromechanical properties of CPCs were investigated. We found CPCs with liquid metals can be served as a flexible strain sensor under mild strain, while as a conductor under large strain due to the robust stability of resistance, which has not been reported yet in the literature. The CPCs presented in this work could provide potential applications in wearable electronics and flexible electronics.
The role of surface diffusion in the growth mechanism of III-nitride nanowires and nanotubes
Authors: Daudin Bruno , Siladie Alexandra-Madalina , Gruart Marion , den Hertog Martien , Bougerol Catherine , Haas Benedikt , Rouvière Jean-Luc , Robin Eric , Recio-Carretero Maria-José , Garro Núria , Cros Ana 
Published: November 2020

Abstract
The spontaneous growth of GaN nanowires (NWs) in absence of catalyst is controlled by the Ga flux impinging both directly on the top and on the side walls and diffusing to the top. The presence of diffusion barriers on the top surface and at the frontier between the top and the sidewalls, however, causes an inhomogeneous distribution of Ga adatoms at the NW top surface resulting in a GaN accumulation in its periphery. The increased nucleation rate in the periphery promotes the spontaneous formation of superlattices in InGaN and AlGaN NWs. In the case of AlN NWs, the presence of Mg can enhance the otherwise short Al diffusion length along the sidewalls inducing the formation of AlN nanotubes.
Modeling and experimental evaluation of pseudo-resistor’s temperature dependence
Authors: Pereira Cleiton F , Galeti Milene , Testa Beatriz B , Benko Pedro L , Buhler Rudolf T , Lucchi Julio C , Giacomini Renato C 
Published: November 2020

Abstract
This work presents the experimental temperature dependence evaluation of the pseudo-resistor piecewise linear (PWL) macromodel, for temperature ranging from 300 to 333 K. The studied macromodel is based on the PWL methodology and it can be used for pseudo-resistors SPICE simulation, including both linear and non-linear operation regions. This study was carried out using a low-frequency bio-potential amplifier with narrow bandwidth for use in QRS complex (part of the electrocardiogram which is a combination of the Q wave, R wave and S wave) detection systems. The architecture based on pseudo-resistors provides DC offset cancellation, adequate frequency response and a significant reduction of the signal recovery time. Both the pseudo-resistor and the QRS complex detector performance were experimentally measured with the temperature variation, in order to include this dependency in the PWL model. The transient recovery time, as well as the QRS complex detector frequency response, was also widely evaluated, in the proposed temperature range, through experimental measurements. The temperature dependence was added to the model and implemented in the SPICE simulation. The model outputs showed strong adherence to experimental data, showing a disagreement less than 6% in the low cut-off frequency. The macromodel’s response to the recovery time also followed the same experimental results behavior, presenting a maximum error of 20% within human body temperature range. The obtained recovery time was less than a normal heartbeat period to the entire temperature range evaluated. All of the analyzed circuits were implemented using GF 8HP 0.13 μm BiCMOS technology from Global Foundries.
Major role of intrinsic defects in optical and electrical properties adopting a highly defect-controlled photoconductivity in spin-coated α-MoO3 thin films gained after UV illumination
Authors: Badr Aly M 
Published: November 2020

Abstract
Spin-coated MoO3 thin films were subsequently subjected to later thermal treatment (LTT) at different temperatures. The x-ray diffraction (XRD) results corroborated that the produced films crystallise in their α-phase with layer structure featured by preferential orientations along the (0k0) planes, and it was also revealed that the thermal energy gained by the later heat treatment plays a major role in enhancing crystallinity enlarging crystallite size. The optical spectroscopic analysis showed that in the visible and near-infrared regions, the average transmission of the film samples remarkably increases with increasing the LTT temperature, whereas the films prepared at 625 °C exhibits an average optical transmission of 79.92%. The optical bandgaps of the film samples were calculated to be of comparable values to the bulk one of α-MoO3 when increasing the LTT temperature from 375 to 525 °C, but it was found to be little greater than the bulk value by further increase in the LTT temperature. The DC electrical results revealed that raising the LTT temperature significantly enhances the electrical resistivity of the film samples, chiefly over the low working-temperatures. These results ascertained the realization of more than one conduction mechanism with different activation energies for the same film, and ramarkable upswings in activation energies were observed by increasing the LTT temperature. The photoconductivity (PC) analysis indicated the occurrence of various trapping processes associated with different photoexcitation energies. The PC analysis also corroborated that the highly resistive thin films exhibit much greater sensitivity to UV illumination compared with the remaining films, whereas the film prepared at the LTT temperature 625 °C presents the higher illumination current at the steady state condition exceeding the dark current value by a factor of 66.01.
Suppression of edge localized modes with real-time boron injection using the tungsten divertor in EAST
Authors: Sun Z. , Diallo A. , Maingi R. , Qian Y.Z. , Tritz K. , Wang Y.F. , Wang Y.M. , Bortolon A. , Nagy A. , Zhang L. , Duan Y.M. , Ye Y. , Zhao H.L. , Wang H.Q. , Gu X. , Zuo G.Z. , Xu W. , Huang M. , Li C.L. , Meng X.C. , Zhou C. , Liu H.Q. , Zang Q. , Wang L. , Qian J.P. , Xu G.S. , Gong X.Z. , Hu J.S. , team EAST 
Published: November 2020

Abstract
We report an observation of robust suppression of edge-localized modes (ELMs) in the Experimental Advanced Superconducting Tokamak (EAST), enabled by continuous boron (B) powder injection. Edge harmonic oscillations appear during B powder injection, providing sufficient particle transport to maintain constant density and avoid impurity accumulation in ELM-stable plasmas. Quasi-steady ELM suppression discharges are demonstrated with modest energy confinement improvement and over a wide range of conditions: heating power and technique variation, electron density range over a factor ∼3.5, deuterium or helium ion species, and with either direction of the toroidal magnetic field. ELM suppression is observed above a threshold edge B intensity and ceases within 0.5 s of termination of the B injection. In contrast to ELM suppression accompanied by recycling reduction during Li powder injection in NSTX and EAST (Maingi et al 2018 Nucl. Fusion
58 024003), reduced recycling due to hydrogenic species retention is unnecessary for the ELM suppression with B powder injection, paving the way for its consideration as an ELM control tool for future fusion devices.
Design of the Surface USV Heading Controller Based on the Predictive Function Control Principle
Authors: Luo Nanhang , Zhao Kunming , Du Enwu , Zheng Ying , Wan Huaqing 
Published: November 2020

Abstract
In view of the controlling issues such as the steering restraints on the water and the turbulence by wind, wave, current and else in the midst of voyage, this paper designed a type of surface USV heading controller on the basis of predictive function control principle. The controller adopted the thought of prediction prior to control. With full consideration of above mentioned restraints and disturbance that affect the heading control, when the optimum control quantity was solved online, it fulfilled timely compensation on the turbulence. After that, simulation experiment was carried on upon the heading controller that was steered by predictive function; moreover, in comparison with the heading controller that was steered by traditional PID, it validated the effectiveness of the newly designed controller. In addition, it provided support for subsequent design of indirect flight path algorithm.
Research on Short-term Power Load Forecasting Based on Bi-GRU
Authors: He Huan , Wang Haomiao , Ma Hongliang , Liu Xuesong , Jia Yilin , Gong Gangjun 
Published: November 2020

Abstract
The precise, accurate and efficient short-term load forecasting can guide the power supply companies to rationally arrange power dispatch plans, help improve the stability of grid operation, and significantly, improving power utilization, thereby optimizing corporate marketing strategies and increasing corporate economic returns. Short-term load forecasting methods based on deep learning have gained greater attention from academia and power companies. Among them, the load forecasting model based on recurrent neural network has gained excellent forecasting results compared with traditional machine learning models. The advantage of the cyclic neural network is that it can extract the degree of relevance of the data in the time dimension, but the unidirectional network only considers the impact of historical data on the current forecast. This paper proposes a load forecasting model based on a bidirectional gated recurrent unit, which further improves the relevance of data. However, it introduces meteorological factors and the influence of holidays to improve the accuracy of forecast results. Taking the power load data of a district of a city in China as an example, the prediction results of this model meet the actual requirements and show better prediction performance over Bi-LSTM, LSTM, GRU, and other models.
Research on User Behavior Patterns under the Background of Big Data
Authors: Sun Jieli , Li Shuangsi , Yan Naishi , Zhao Yanxia , Li jianke 
Published: November 2020

Abstract
We discuss related researches on Information Quality Control and main CBR process models. We also take a deep study of the user behavior pattern, the formation mechanism of user behavior pattern. The design idea of user behavior pattern construction based on CBR and information quality control is discussed in detail.
Study on the two-layer optimal configuration strategy of wind abandoning and absorption in CHP micro-grid
Authors: HongxiaYu  , FuweiYang  
Published: November 2020

Abstract
In order to solve the problem of wind abandoning for micro-grid in the heating season. Adding electric boiler and thermal storage device to micro-grid and using configuration strategy is an effective way, the effective configuration scheme is also very important to it. A two-layer model optimization method that introduces scheduling in configuration is proposed, the models and constraints of the main units in the micro-grid are given, the upper layer aims to minimize the sum of the total operation cost and configuration and maintenance cost of the micro-grid during the heating period, the lower layer aims to minimize the integrated operation cost of the 24-hour micro-grid. Simulation results show that, the proposed method can effectively reduce the operation cost and wind abandoning power of micro-grid, the optimal configuration scheme is obtained.
Research on A New On-line Monitoring System of Transmission Line Icing Based on RF433 Technology
Authors: Zheng Wang , Fei Chen , Chong Peng , Taiwu Wu , Qian Huang , Xi Yang 
Published: November 2020

Abstract
In view of the disadvantages of the current transmission line icing online monitoring terminal data transmission through wire and large power consumption, This paper uses RF433?WIFI and low-power design technology, realize the low-power wireless transmission function of each sensor data, and through the communication protocol between the front-end wireless sensor and the main controller, achieve the purpose of improving the efficiency of the sensor. Finally, the terminal efficiency designed in this paper is verified by actual test. After 72 hours of test, the packet loss rate of each sensor is 0%, which indicates that the system can run stably. At the same time, the maximum power consumption of the main control board in one day is 0.11W, which is far lower than the power consumption of the online monitoring terminal of the cable icing over 1W. In this paper, the design of low-power wireless icing monitoring system for transmission lines can correctly guide the work of anti-icing and anti-icing, which is of great significance for the safe operation of transmission lines.
Mechanism design of a small mobile robot for inspection of underground cables-in-pipe
Authors: Zhou Xuefeng , Zhao Guowei , Zhao Rui , Cheng Yuan , Wang Yishuang 
Published: November 2020

Abstract
With the rapid growth of urban power load, underground cables-in-pipe is increasingly used in urban power transmission. The operation status inspection of underground cables-in-pipe is very important to guarantee the safety of power transmission. At present, mostly, the inspection of the underground cables-in-pipe is implemented by workers after cutting the power supply. Cutting power supply will cause economic loss. In addition, the workers cannot step into the narrow pipes, which lead to low inspection efficiency and the high omission factor. In order to solve the above problems, this paper proposes a novel mechanism of a small mobile robot for underground cables-in-pipe inspection. In the pipes where cables have been laid, the remaining space is narrow and irregular. Through the unique compact design of the robot mechanism, we make the robot able to run smoothly in the pipes. In this paper, we firstly establish the remaining space model of the cable-laid pipes. Then design the mechanism model of each part of the robot. After that, we determine the specific structural parameters. Finally, we carry out the feasibility analysis of the whole robot mechanism. The results of the analysis indicate that, the designed robot mechanism can move smoothly in underground cable pipes.
Temperature prediction model for solar greenhouse based on improved BP neural network
Authors: Li Xingjian , Zhang Xiangnan , Wang Yawei , KaifengZhang  , Chen Yi-fei 
Published: November 2020

Abstract
In the production of solar greenhouse, indoor temperature is a very important index, which is closely related to the growth of crops. In order to solve the problem of hysteretic nature in solar greenhouse temperature regulation, a solar greenhouse temperature prediction model was proposed in this paper. The model took three indoor parameters including temperature, humidity and light intensity of current time in solar greenhouse as inputs and was built on the base of a kind of BP neural network algorithm which was improved by nearest neighbor algorithm, and accurate prediction results were obtained. The mean absolute error (MAE), mean relative error (MRE) and maximal absolute error (MaxE) of the predicted value of the model were 0.89°C, 4.66% and 2.23°C, respectively. All of the three indexes were greatly improved compared with the model without improvement. The model was able to predict the indoor temperature of the greenhouse accurately and as well provide technical support and decision support for the temperature regulation system of the solar greenhouse.
Analysis of Bird Damage Prevention Mechanism for Overhead Transmission Lines
Authors: Xiaopo Mao , Yaodong Zhang , Xueming Zhou , Zhiqiang Feng , Zeqi Huang , Xiang Ren , Tianru Shi , Jianjin Fu , Junjie Huang 
Published: November 2020

Abstract
With the continuous development of the power system, 500kV transmission lines have become the backbone of power grid transmission lines. The construction of a large number of transmission lines is intertwined with the activities of birds. Line failures caused by birds have become the main cause of power system trip accidents. First, it seriously threatens the safe operation of the power system, and its degree of damage is second only to lightning strikes and external damage. Through related research and analysis, the bird damage of 500kV transmission line is mainly caused by three aspects: bird droppings, bird body and bird pecking. This paper analyzes the formation mechanism of bird damage on 500kV transmission lines, and provides some guidance for the corresponding prevention measures for the protection of transmission lines from bird damage.
Design and Implementation of Crowbar Circuits Combined with Chopper Circuits for LVRT in Wind Farms
Authors: Yifan Xu , Aimin An , Yingying Zhao , Wei Chen 
Published: November 2020

Abstract
This paper presents the advantages of LVRT technology where a crowbar circuit functions in combination with a chopper circuit. To enhance the low voltage ride-through (LVRT) performance of double-fed wind turbines, the advantage of the crowbar protection circuit, the DC-link chopper protection circuit, and rotor side control (RSC) are combined based on current LVRT technology. The crowbar circuit is fully utilized to protect the rotor circuit from overcurrent and plays the role of the chopper circuit to stabilize the DC bus voltage. In addition, this paper proposes a cooperative control strategy that is used in the control of the protection circuit during LVRT. Simulation results based on PSCAD/EMTDC demonstrate that the proposed method can significantly reduce crowbar switching times and LVRT time, and the control method is simple and feasible.
A Combined Algorithm for Data Cleaning of Wind Power Scatter Diagram Considering Actual Engineering Characteristics
Authors: Wu JiaHui , Shao ZhenGuo , Yang ShaoHua 
Published: November 2020

Abstract
There exist a lot of outliers in the wind power scatter diagram, which due to communication failure, equipment abnormality, artificial power limitation, and other reasons in the actual operation of wind turbines. These outliers have an adverse effect on performance and status evaluations for wind turbines seriously. Firstly, the reasonable power offset ranges are calculated using the affine algorithm, which considers actual engineering characteristics, e.g., forecast error and topographic difference. Besides, the quartering algorithm is applied for clearing the scattered outliers. Furthermore, the affine-quartile combined algorithm is presented to realize advantageous complementarities and attain accurate data of the wind power scatter diagram. Finally, Case studies show that the proposed affine-quartile algorithm, with consideration of actual engineering characteristics, can improve the coverage and accuracy of outlier detection.