bluuebunny/crossref_metadata_2025_split huggingface dataset:
Life-history characteristics of the eastern shovelnose ray,
Authors: Campbell Matthew J. , McLennan Mark F. , Courtney Anthony J. , Simpfendorfer Colin A. 
Published: May 2021

The eastern shovelnose ray (Aptychotrema rostrata) is a medium-sized coastal batoid endemic to the eastern coast of Australia. It is the most common elasmobranch incidentally caught in the Queensland east coast otter trawl fishery, Australia’s largest penaeid-trawl fishery. Despite this, age and growth studies on this species are lacking. The present study estimated the growth parameters and age-at-maturity for A. rostrata on the basis of sampling conducted in southern Queensland, Australia. This study showed that A. rostrata exhibits slow growth and late maturity, which are common life-history strategies among elasmobranchs. Length-at-age data were analysed within a Bayesian framework and the von Bertalanffy growth function (VBGF) best described these data. The growth parameters were estimated as L0 = 193 mm TL, k = 0.08 year–1 and L∞ = 924 mm TL. Age-at-maturity was found to be 13.3 years and 10.0 years for females and males respectively. The under-sampling of larger, older individuals was overcome by using informative priors, reducing bias in the growth and maturity estimates. As such, the results can be used to derive estimates of natural mortality for this species.
Orthographic friends and lexical strangers in the L2 lexicon
Authors: Jiang Nan 
Published: May 2021

Abstract
Some recent studies demonstrated a lexical processing difference between L1 and L2. In a lexical decision task, masked word primes had an inhibitory or no effect on the identification of their neighbor targets (e.g., reason-SEASON) in L1, but they produced a faciliatory priming effect in L2. The present study attempted to replicate this finding with materials that were developed with familiarity, length, and frequency considerations. Native and nonnative speakers of English were tested on 40 English targets that were preceded by prime words that were their neighbors or orthographically unrelated. The results replicated previous findings. Nonnative speakers showed a significant priming effect of 63 ms but native speakers produced a nonsignificant effect of 11 ms. This finding suggested that words in the L2 lexicon seemed to recognize and interact with each other only on the basis of orthographic overlap (thus orthographic friends). They did not seem to do so on the basis of lexical status (thus lexical strangers), i.e., showing little lexical interaction or competition. Current explanations of this intriguing L1-L2 difference are discussed.
Similarity solution analysis of dynamic and thermal boundary layers: further formulation along a vertical flat plate
Authors: Djebali R , Mebarek-Oudina F , Rajashekhar C 
Published: May 2021

Abstract
This work aims to propose a simplified formulation of the similarity solution for the boundary layers problem occurring along a vertical heated flat plate under buoyancy effect. A new formulation is analytically developed. The case of the isothermal vertical infinite flat plate is investigated using a Taylor Series Expansion Model (TaSE) from which excellent agreement is reached with the results of the fifth Runge–Kutta-Fehlberg Method (RKF45) and experimental data. The boundary layer phenomena that occur along the vertical isothermal walls of the differentially heated cavity cannot be considered as portions of an infinite hot / cold plate due to the transverse entry of cold fluid and the intrusion flow under the ceiling.
Transformational, microstructural and superelasticity characteristics of Ti–V–Al high temperature shape memory alloys with Zr addition
Authors: Bağ Öznur , Yılmaz Fikret , Kölemen Uğur , Ergen Semra , Temiz Cengiz , Uzun Orhan 
Published: May 2021

Abstract
This study analyzes the influences of Zr addition on the martensitic transformation behavior, microstructural evolution, mechanical properties and superelasticity effect of arc-melted Ti-12V-4Al-xZr (x = 0, 0.5, 1, 1.5 and 2 wt.%) high temperature shape memory alloys (HTSMA). The results revealed that the austenite transformation temperatures and activation energy values decreased linearly when the Zr addition was greater than 0.5 wt.%. The Ti-V-4Al (wt.%) and Ti12V-4Al-0.5Zr (wt.%) alloys were composed of α″ martensitic phase, while the others consisted of predominant α″ martensitic phase and a small amount of the β austenite phase. The thickness of martensitic plates in the alloys reduced with increased Zr addition. Hardness and reduced elastic modulus values calculated from load-depth curves of the alloys also decreased with increasing Zr addition. Along with the increase in the Zr addition, the alloys’ superelasticity behavior decreased at room temperature (24 °C), while this behavior increased at the high temperatures (450 °C).
Discriminating the HTM and MLRSM models in collider studies via doubly charged Higgs boson pair production and the subsequent leptonic decays *
Authors: Gluza Janusz , Kordiaczyńska Magdalena , Srivastava Tripurari 
Published: May 2021

Abstract
We present a case study for the doubly charged Higgs boson

pair production in

and pp colliders with their subsequent decays to four charged leptons. We consider the Higgs Triplet Model (

), which is not restricted by the custodial symmetry, and the Minimal Left-Right Symmetric Model (

). These models include scalar triplets with different complexities of scalar potentials and, because of experimental restrictions, completely different scales of non-standard triplet vacuum expectation values. In both models, a doubly charged Higgs boson

can acquire a mass of hundreds of gigaelectronvolts, which can be probed at the HL-LHC, future

, and hadron colliders. We take into account a comprehensive set of constraints on the parameters of both models coming from neutrino oscillations, LHC,

, and low-energy lepton flavor violating data and assume the same mass of

. Our finding is that the

pair production in lepton and hadron colliders is comparable in both models, though more pronounced in the

. We show that the decay branching ratios can be different within both models, leading to distinguishable four-lepton signals, and that the strongest are

events yielded by the

. Typically, we find that the

signals are one order of magnitude larger those in the

. For example, the

signal for 1 TeV

mass results in a clearly detectable significance of

for the HL-LHC and

for the FCC-hh. Finally, we provide quantitative predictions for the dilepton invariant mass distributions and lepton separations, which help to identify non-standard signals.
Measurement of the beam diameter at the polarimeter for quartz control plate calibration
Authors: Guedes Marcelo B , Alvarenga Ana Paula D 
Published: May 2021

Abstract
The Knife Edge method was used to measure the diameter of a HeNe laser beam in the sample position of the high resolution polarimeter at Diopt. The acquired data profile was fitted to an equation and from the fitting parameters the diameter was calculated. The resulting laser beam diameter value obtained is a part of the polarimeter full characterization.
Practice and Understanding of Water Control and Tapping Potential of Small Well Spacing in Extra-high Water-cut Period
Authors: jia Li 
Published: May 2021

Abstract
In 2010, a certain Gaotai block of Daqing Oilfield adopted a 106-metre-5-point area well pattern to implement the infilling adjustment. After years of development, the water-cut has increased from 91.29% at the initial production to 96.02%, with an average annual increase rate of 1.3%. However, due to small well spacing, high speed of injection and production, and low qualified rate of water injection, the decline rate of the block has reached more than 10%, which poses a challenge to stable production. On the basis of in-depth study of the principal contradiction issues, the development effect was significantly improved after comprehensive adjustment in accordance with the working ideas of precise geological research to clarify the direction of potential excavation, precise scheme design to find the location of potential excavation, precise technological measures to improve the effect of measures, and precise management means to improve the overall efficiency. In addition, the precise understanding of the remaining oil in the ultra-high water-cut stage, the precise policy technique and the practical experience gained in the development and adjustment are of guiding and reference significance to the control of the production decline and the rise of water-cut in the ultra-high water-cut stage.
Investigation on Washing Condition of Reservoir in Region A
Authors: Yuying Zhao 
Published: May 2021

Abstract
At present, A oilfield is in the extremely high water-cut period, and it is the key to realize the distribution of residual oil potential. Through the data analysis of the sealed coring well, this is one of the most intuitive and reliable methods for residual oil distribution. The changes and growth of water wash thickness of various oil layers can be understood and analyzed, and the evolution process of oil formation status can be clearly seen with the deepening of oilfield water injection development and the infilling and adjustment of well pattern. The results show that the area is in the condition of medium water washing and still has great potential. The washing degree of one kind of oil layer is high, mainly medium and strong washing. The weak and unwashed oil layers are mainly concentrated in the second and third oil layers, which are the target of the next adjustment and exploration. According to the distribution of residual oil in the second and third oil layers, the next step is to optimize the adjustment of injectionproduction well pattern and the modification of cooperation measures. For improving the level of weak and unwashed reservoirs, it is of guiding significance for the subsequent development of reservoirs in the ultra-high water-cut period.
Mask Detection and Epidemic Prevention System
Authors: Wang Can , Bu LePing , Xiao HuanYu , Qin Kui 
Published: May 2021

Abstract
The rapid spread of the coronavirus (COVID-19) has led the world into a huge pandemic crisis. As of November, more than 50 million people have been infected. In response to the transmission characteristics of COVID-19, the World Health Organization (WHO) has identified wearing masks as the most effective anti-epidemic measure in public places and crowded places. In order to ensure that people entering these areas wear masks, this paper designs a complete epidemic prevention system. Utilizes deep learning, embedded technology and LoRa wireless communication. It is characterized by low cost and flexible communication methods, which can well meet actual epidemic prevention needs.
Research on a fault test system based on fault injection
Authors: Cao Yang , Liu Hongtian , Song Chao , Jia Yizhuo , Yao Liu , Zhang Jianwei , Wang Dongjun 
Published: May 2021

Abstract
Fault injection technology is an important method in system fault testability. By monitoring and analyzing the response information of the system after fault injection, the evaluation results of the reliability and fault tolerance characteristics of the target system can be obtained, which can provide data reference for equipment maintenance support. In this paper, aiming at the problems of complex composition, difficult fault detection and isolation, and low efficiency of maintenance training of armored equipment weapon system, a fault testing system based on fault injection is established by analyzing fault mechanism and designing fault injection scheme, which provides reliable technical support and technical support for operators to conduct fault analysis and maintenance training effective methods and means.
Design of Programmable Gain Amplifier Module in Dynamic Liquid Level Tester
Authors: Zhang Jiatian , Qin Hongwei , Yan Zhengguo 
Published: May 2021

Abstract
Oil and gas wells need to perform dynamic liquid level detection during the development to prevent inaccurate detection during drilling and damage the oil and gas field. The Program Controlled Gain Amplifier (PGA) module designed in this paper is used in the dynamic liquid level test instrument. Using STM32F4O7ZGT6 as a microcontroller (MCU), the MCU, a multi-stage variable gain amplifier and a peak detection circuit form a closed loop control, forming an automatic gain control (AGC) circuit. First, the signal output by the peak detection circuit is collected by AD, and then the entire module is in a dynamic balance state through DA feedback. This AGC system can accurately control the gain and output signal. Finally, the ratio-average filtering algorithm is used to test the experimental data. Experimental results show that the module can achieve gain control of-20∼60dB in the frequency range of 1kHz∼20MHz; the relative error of the output voltage is within 3%. This module achieves the performance indicators of broadband, high precision and high gain. Compared with the traditional module, its advantage is that it takes into account and optimizes the three performance indicators at the same time, and has better stability.
Downhole circulating cooling device
Authors: Xu Gao , Jing Zhou , Haiming Xie , Haiyan Shang 
Published: May 2021

Abstract
This paper presents a kind of downhole circulating cooling device in high temperature environment. The device consists of the following components: compressor, condenser, expansion valve, and heat exchanger. The heat exchanger consists of an inner chamber located around the instrument to be cooled and an outer chamber located around the inner chamber. As the cooling fluid passes through the inner chamber, it absorbs heat from the instrument, and then the cooling fluid enters the outer chamber to absorb heat from the wellbore. After absorbing heat, the cooling liquid can be pressurized by the compressor, condensed by the condenser, and then selectively released back to the inner chamber after cooling by the expansion valve, so as to realize the continuous circulation cooling device, so as to realize the thermal insulation and cooling of the instrument. This paper provides an efficient, recyclable and time-saving method for temperature reduction in underground high-temperature environment.
Research on multiphase flow measurement system based on electromagnetic correlation method
Authors: Huiqin Jia , Hangchao Wang , Ruirong Dang , Jianyu Qiao 
Published: May 2021

Abstract
The phenomenon of oil-gas-water multiphase flow is common in oil Wells in the middle and late stage of oil field development. The accurate measurement of its flow is of great significance to the control of oil production process and the efficient development of oil fields. In the analysis and research on the existing problems of multiphase flow measurement technology at home and abroad and based on the proposed a flow measurement system based on conductance measurement technique design and the implementation plan, to achieve a kind of can expand production logging in multiphase flow of oil and gas flow measurement range, and with continuous measurement, no radioactive, low cost advantages, such as oil and gas water related method of flow measurement model of multiphase flow electromagnetic research, optimization of oilfield production and realization of intelligent well completion, and promote the development of new type multiphase flow instrument, with major production guiding significance and value.
Modeling and Simulation of Power Quality for EAST
Authors: Li Xiaofeng , Huang Yiyun 
Published: May 2021

Abstract
To ensure the safety and efficiency of EAST nuclear fusion devices, the power quality has to be considered. The loads of EAST device are complex and diverse, especially the special loads with high power impact, volatility, randomness and nonlinear characteristic, which causes power quality problems such as voltage sag, harmonic and three-phase imbalance in power network. This paper analyzes the load characteristics of EAST devices and divides them into impulsive loads and conventional loads. The above two types of loads are modeled and simulated respectively, and the effects of loads with different properties on the system are discussed. The results of simulation analysis are of great significance to the next step of formulating corresponding compensation measures and developing control equipment. Therefore, the importance of power quality problems modeling and simulation for power system analysis and control is self-evident.
Summary of Research on Power Flow Optimization Algorithms for Microgrid
Authors: Zheng Ruize , Wang Wei , Liu Sining 
Published: May 2021

Abstract
With the development of microgrid, more and more scholars have participated in the optimization research of microgrid power flow. This article mainly summarizes the algorithms for power flow optimization of microgrid, including the Newton-Raphson method, PQ decomposition method, nonlinear programming power flow algorithm, interior point method, forward and backward substitution method, and artificial intelligence algorithms such as particle swarm algorithm, genetic algorithm, simulated annealing and various hybrid algorithms.
Classification of Electronic Nose Data Using the Least Squares Support Vector Machine
Authors: Chen Gaofeng , Wu Guifang 
Published: May 2021

Abstract
In this study, the response signals of three kinds of dry alfalfa volatile odors were collected by an electronic nose (E-nose), and the collected data were processed by principal component analysis (PCA) and linear discriminant analysis (LDA). A least squares support vector machine (LS-SVM) model was established to classify and evaluate the data. For the combined E-nose algorithm, the classification accuracies of the PCA-LS-SVM and LDA-LS-SVM models are 85% and 100%, respectively. LDA as the input model has better classification accuracy than the PCA-based model. The results show that the combination of the LDA and LS-SVM algorithms using an E-nose signal is effective in identifying different drying alfalfa. The performance of the LDA-based LS-SVM model is slightly higher than that of the PCA-based LS-SVM model. It can be concluded that the E-nose system combined with the LDA-based model has great potential to distinguish different dry alfalfa.
Optimum Short Circuit Current Limiter Deployment Using Immune-PSO Algorithm
Authors: Chen Lili , Zhang Guilan 
Published: May 2021

Abstract
The optimum of short circuit current limiter deployment (SCCLD) is a 0-1 mixed integer programming problem. It is non-continuous, non-convex and nonlinear. Ordinary mathematic optimization can hardly solve it. In this paper, the sensitivity factor was defined to choose better candidates for active current-limiting measure installations as to reduce bus fault currents. And the integrated measures deployment is solved by a discrete particle swarm optimization algorithm with immune (IA-DPSO). The results of IEEE 39-bus system in New England are provided to validate the possible applications of the proposed method.
Preliminary Design of Monitoring System of ITER Static Magnetic Field Test Facility
Authors: Pan Mi , Gao Ge , Wang Linsen , Wang Shusheng 
Published: May 2021

Abstract
The structure and characteristics of the ITER static magnetic field test facility is introduced. The preliminary design scheme of the monitoring system of the facility is proposed. According to the characteristics of the facility that it includes several subsystems, multiple signal types and is suffered from electromagnetic interference, the solution given combines NI CompactRIO embedded system, NI PXIe and Ethernet exchange technology. It can realize signal acquisition, status monitoring, safety interlock, parameter setting and other function. Also, the scheme covers the methods to weaken the interference from the surrounding magnetic field on the system itself and improve the stability of the system. The preliminary design scheme complies with control, data acquisition and communication specifications from ITER, and meets the SIL level assessment requirements in the concept phase.
A software design of the equipment management business in Digital Workshop
Authors: Xiucai Zhao , Tao Yan , Jianrui Li , Min Guo 
Published: May 2021

Abstract
Firstly, the present situation and business requirements of the digital workshop equipment management business are designed, and a hierarchical functional architecture based on cloud platform is proposed, combined with the top-level function allocation and information integration model of the workshop equipment management business software. Then, combined with the discussion of the key points of software design, the technical approaches of vertical service support and horizontal interconnection integration, such as building a stable, reliable and low delay distributed system framework, real-time equipment state monitoring based on OPC UA, etc. Finally, the feasibility and effectiveness of the software design approach is further verified through the application practice of the equipment management business in an electronics product manufacturing workshop, which helps to improve the automation degree and real-time deterministic effect of the workshop equipment management business, and provides a reference for business planning and condition construction of similar enterprises’ digital workshop.
Design of Information Acquisition System for High Voltage Pulse Power Supply
Authors: Junhui Rui , Guan Rui , Zhang Jian , Sun Haozhang 
Published: May 2021

Abstract
Capacitor discharge is the main application form of pulse power technology, which is simple in principle and easy to implement. The design of pulse power supply system requires the information management of a large amount of experimental data. While the conventional acquisition system only pays attention to the display of the power waveform, and lacks the effective management of the intermediate state information and discharge waveform, which cannot meet the requirement of power supply. Aiming at this need, an integrated power supply information acquisition system based on Labview and Access database is designed. This system takes Labview as the software development platform and Access as the background database to realize the acquisition, storage and information management of power data. In the program design, the producer-consumer mode is adopted for data collection and processing, and the queue technology is used for circular communication to ensure the integrity and reliability of data processing. The actual operation shows that the acquisition process of the system is stable and reliable, and the information management of the power data is realized.
Numerical study of displacement current phase tomography for gas-water two-phase flow
Authors: Wang Xiaoxin , Chen Yangzheng , Wang Bo , Dang Ruirong 
Published: May 2021

Abstract
Electrical Tomography technology is widely used in the research and engineering practice of two-phase flow due to its advantages of non-radiation, non-intrusive and simple equipment structure. However, because of the electrical tomography sensitive field distribution of medium nonlinear (soft), the reconstructed images are often distorted, especially when faced with high conductivity and high dielectric constant two-phase flow (such as oil-field water of high salinity). Displacement current phase tomography (DCPT) is a new electrical tomography technology and it is proposed in 2017. An attractive feature of DCPT is that the relationship between the measured phase and the loss factor has a more extended linear range than the relationship between the measured capacitances in ECT and the permittivity distribution. In this paper, a 12-electrod DCPT with Landweber reconstruction algorithm is applied for gas-water two-phase flow imaging, and the reconstruction results are compared with electrical capacitance tomography (ECT) by numerical examples.