bluuebunny/crossref_metadata_2025_split huggingface dataset:
Radiology Reporting Errors: Learning from Report Addenda
Authors: Patra Anurima , Premkumar Manthreshwar , Keshava Shyamkumar N. , Chandramohan Anuradha , Joseph Elizabeth , Gibikote Sridhar 
Published: August 2021

AbstractBackground The addition of new information to a completed radiology report in the form of an “addendum” conveys a variety of information, ranging from less significant typographical errors to serious omissions and misinterpretations. Understanding the reasons for errors and their clinical implications will lead to better clinical governance and radiology practice.Aims This article assesses the common reasons which lead to addenda generation to completed reports and their clinical implications.Subjects and Methods Retrospective study was conducted by reviewing addenda to computed tomography (CT), ultrasound, and magnetic resonance imaging reports between January 2018 to June 2018, to note the frequency and classification of report addenda.Results Rate of addenda generation was 1.1% (n = 1,076) among the 97,003 approved cross-sectional radiology reports. Errors contributed to 71.2% (n = 767) of addenda, most commonly communication (29.3%, n = 316) and observational errors (20.8%, n = 224), and 28.7% were nonerrors aimed at providing additional clinically relevant information. Majority of the addenda (82.3%, n = 886) did not have a significant clinical impact. CT and ultrasound reports accounted for 36.9% (n = 398) and 35.2% (n = 379) share, respectively. A time gap of 1 to 7 days was noted for 46.8% (n = 504) addenda and 37.6% (n = 405) were issued in less than a day. Radiologists with more than 6-year experience created majority (1.5%, n = 456) of addenda. Those which were added to reports generated during emergency hours contributed to 23.2% (n = 250) of the addenda.Conclusion The study has identified the prevalence of report addenda in a radiology practice involving picture archiving and communication system in a tertiary care center in India. The etiology included both errors and non-errors. Results of this audit were used to generate a checklist and put protocols that will help decrease serious radiology misses and common errors.
Carbon dioxide as a line active agent: Its impact on line tension and nucleation rate
Authors: Bey Romain , Coasne Benoit , Picard Cyril 
Published: August 2021

SignificanceThe thermodynamic stability of any three-phase system involves the free energy cost of the triple line where the three phases intersect. Despite its acknowledged impact in physics, chemistry, and biology, the line tension—analogous to the well-known concept of surface tension for interfaces—remains puzzling in many aspects. In particular, even if a consensus starts to emerge for liquid/vapor equilibrium of a pure substance on a solid surface, the case of fluid mixtures remains unexplored. Here, we show thatCO2acts as a line active agent by altering significantly the line tension of water near solid surfaces. Beyond fundamental aspects, such gas-induced line tension modifications could be used in numerous practical applications where multiphase flows are involved.
Prediction in bilingual children
Authors: Karaca Figen , Brouwer Susanne , Unsworth Sharon , Huettig Falk 
Published: August 2021

Abstract
A wealth of studies has shown that more proficient monolingual speakers are better at predicting upcoming information during language comprehension. Similarly, prediction skills of adult second language (L2) speakers in their L2 have also been argued to be modulated by their L2 proficiency. How exactly language proficiency and prediction are linked, however, is yet to be systematically investigated. One group of language users which has the potential to provide invaluable insights into this link is bilingual children. In this paper, we compare bilingual children’s prediction skills with those of monolingual children and adult L2 speakers, and show how investigating bilingual children’s prediction skills may contribute to our understanding of how predictive processing works.
Classification of error-related potentials evoked during stroke rehabilitation training
Authors: Kumar Akshay , Pirogova Elena , Mahmoud Seedahmed S , Fang Qiang 
Published: August 2021

Abstract

Objective. Error-related potentials (ErrPs) are elicited in the human brain following an error’s perception. Recently, ErrPs have been observed in a novel task situation, i.e. when stroke patients perform upper-limb rehabilitation exercises. These ErrPs can be used to develop assist-as-needed (AAN) robotic stroke rehabilitation systems. However, to date, there is no reported research on assessing the feasibility of using the ErrPs to implement the AAN approach. Hence, in this study, we evaluated and compared the single-trial classification of novel ErrPs using various classical machine learning and deep learning approaches. Approach. Electroencephalogram data of 13 stroke patients recorded while performing an upper-limb physical rehabilitation exercise were used. Two classification approaches, one combining the xDAWN spatial filtering and support vector machines, and the other using a convolutional neural network-based double transfer learning, were utilized. Main results. Results showed that the ErrPs could be detected with a mean area under the receiver operating characteristics curve of 0.838, and a mean accuracy of 0.842, 0.257 above the chance level (p < 0.05), for a within-subject classification. The results indicated the feasibility of using ErrP signals in real-time AAN robot therapy with evidence from the conducted latency analysis, cross-subject classification, and three-class asynchronous classification. Significance. The findings presented support our proposed approach of using ErrPs as a measure to trigger and/or modulate as required the robotic assistance in a real-time human-in-the-loop robotic stroke rehabilitation system.
Mechanical vibration affects Gatling weapon shooting accuracy
Authors: Xu Jian , Song Lanwei , Yang Zhen 
Published: August 2021

Abstract
To using the Gatling fire mode to the fire accuracy, the Gatling gun fire mode was researched and it was found that the advantage of even Gatling gun. The firing mode of the Gatling weapon is clearly a turn round, several tubes firing several rounds. There are drawbacks that the faster the launch, the more the gun body tubes group shift in the direction, and resulting in the weapon missing a lot from the shooting target. There was no choice but to make compensatory moves on the firepower system. this paper the launch even mode proposed is still rotating, but it is indeed the upper and lower parts of the projectile. And the pipes are divided into two groups, and one group moves from the left, the top is in the launch state; and the other group enters from the right side, and the bottom is in the launch state. the horizontal displacement in the barrel mouth is 0.0028142m but the new methods is 1.168e-6m, and While 2000m the Gatling old scheme has 80m layout and the new Gatling gun has only 5m. The comparison with the single-tube weapon, and the even tube (4,6,8,10) has an advantage over odd tube (3,5,7,9), and it is more convenient to supply the bullet left and right or up and down.
Effect of characteristics of non-metallic inclusions on fatigue life of high-speed rail bearings based on multiple linear regression
Authors: Guo Xiaohan , Zhang Gang , Ma Canyang , Zhang Zhenqiang 
Published: August 2021

Abstract
In the process of smelting and manufacturing, bearing steel inevitably have defects such as non-metallic inclusions. Moreover, inclusion geometry (type, quantity, size, distribution, and shape) has a significant effect on the fatigue failure of bearing steel. In order to study effect extent of the size and distribution of inclusion on the fatigue life of bearings, this paper uses the test high-speed rail bearings LY-Z028 to research and analysis. The micro-model of contact between single inclusion and the matrix is established, and then performs ANSYS simulation on stress concentration which caused by size of single inclusion and relative surface depth. Further, multiple linear regression method is used to compare the effect extent of these two factors on the fatigue life. The results show that size of single inclusion has a greater impact on the fatigue life than relative surface depth, which can provide an effective reference for smelting and production requirements.
An improved target detection algorithm based on EfficientNet
Authors: Wu Tao , Zhu Hongjin , Fan Honghui , Zhou Hongyan 
Published: August 2021

Abstract
In order to improve the detection accuracy for small-scale targets in complex scenes, an improved target detection algorithm based on EfficientNet is proposed. Firstly, the EfficientNet network is used to optimize the DarkNet53 feature extraction network. Compressing the standard convolution with the depthwise separable convolution, and increasing the depth of the neural network with the residual network that can effectively achieve feature extraction, reduce the number of parameters and improve the detection speed. Secondly, a feature pyramid network is used to design four scales of features for multi-scale feature extraction, which improves the detection of small targets. The experimental results show that the YOLOv3 target detection algorithm improves the detection accuracy by 4.98% compared to the original algorithm on VOC dataset, which improves the detection accuracy and ensures real-time detection for small targets.
Fault simulation and forecast of helical cylindrical gear of reducer based on ADAMS
Authors: Tang Yerong , Liu Qingyun , Zhu Qing 
Published: August 2021

Abstract
Aiming at the problems that the dynamic speed and meshing force of the helical cylindrical gear of the reducer are difficult to actually measure and the test cost is high, the helical cylindrical gear transmission system of a crane reducer is used as the research object, and the 3D modeling software Solid Works is used to establish the assembly model of the gear transmission system, import the dynamic simulation software ADAMS to establish simulation model, and perform simulation analysis on it. The simulation results show that the gear speed is stable after acceleration, which is basically close to the theoretical calculation value; meshing at different multiples the gear meshing force amplitude is different at different frequencies. As the frequency multiplier increases, the amplitude shows a downward trend. Finally, Ensemble Empirical Mode Decomposition (EEMD) sample entropy and Extreme Learning Machine (ELM) are used for fault prediction to verify the effectiveness of this method. The above can provide a certain reference basis for the condition monitoring and fault prediction of the gearbox of metallurgical cranes, so as to ensure the safe operation of the crane.
Classification of underground engineering surrounding rock based on Gaussian cloud model
Authors: Teng Yun , Zhou Keping , Li Zhichao 
Published: August 2021

Abstract
Based on the Gaussian cloud model, an integrative evaluation method for the stability classification of surrounding rock was presented. Selecting five factors, i.e. rock quality designation, uniaxial compressive strengthen, integrality coefficient, strengthen coefficient of structural plane and seepage measurement of groundwater to be the evaluation indicators. According to the Gaussian cloud model and the information entropy theory, the data were normalized and the comprehensive certainty was calculated, then a Gaussian cloud model was obtained to classify the stability classification of surrounding rock. 14 samples of the first stage project in Guangzhou pump accumulator electricity station and 16 samples produced by the interpolation method were taken as the training samples. 12 samples of the second stage project were selected to verify the model. Compared with the artificial neural network (ANN) method and support vector machine (SVM) method, the results show the gauss cloud method has excellent performance and high prediction accuracy, and the method is of practical value, can be applied to evaluate the stability of surrounding rock in underground engineering.
Optimization analysis of dynamic characteristics of a certain car seat with rigid-flexible coupling
Authors: Fu Shaohua , Wang Shufen , Yang Duo , Kang Mengnan 
Published: August 2021

Abstract
Aiming at the problem of the dynamic comfort of a certain car driver’s seat, from the aspect of selecting the dynamic parameters of the seat cushion, a simulation idea for studying the dynamic comfort of the seat has been proposed. The rigid-flexible coupling dynamics model of the human body and the seat is established through the flexible processing of the seat cushion. ADAMS has been used to analyze the dynamics of the model and compare the changes in the human comfort level when the dynamic parameters of the seat cushion are changed. The optimal range for selecting its dynamic parameters has been obtained. ADAMS/Car has been used to establish a virtual model of the vehicle system, and the dynamic comfort of the model has been analyzed to obtain the human body acceleration power spectral density curve. The results indicate that the optimal selection ranges for seat cushion stiffness and damping are 14∼20N/mm and 0.3∼0.6Ns/mm, respectively. In this range, the resonance frequency of the car seat is lower than the most sensitive frequency of the human body. Use the human comfort evaluation method to verify that the result is reliable, it provides a direction for the subsequent design.
Structural dynamic response of a locomotive hydraulic damper with welding imperfections
Authors: Wang Wenlin , Zhou Zirong , Huang Bao , Du Jianming 
Published: August 2021

Abstract
Railway vehicle hydraulic dampers are usually subject to premature structural failures, so it is meaningful to investigate the dynamic response of its welded main structure. FEA modelling of the welded rod-and-attachment assembly with imperfections of a Chinese electric locomotive axle-box hydraulic damper is performed, and load spectra of the axle-box hydraulic damper both under nominal and actual in-service conditions are obtained. Structural dynamics response analysis of the welded rod-and-attachment assembly of the damper is then conducted by using the FEA model and load spectra, and demonstrates that all of the maximum dynamic stresses have increased by 40% or so when using the actual in-service load spectra regardless of the weld joint condition, if the weld joint is with imperfection of misalignment of rod and attachment, the maximum dynamic stress has increased by 41.46%. Therefore, railway hydraulic dampers are usually subject to actual in-service load spectra instead of the nominal load spectra used in the design process, if the damper also has got welding imperfections, the damper would be readily subject to premature failures, this is why many current railway vehicle hydraulic dampers are still subject to premature failures despite with ‘perfect’ designs. The FEA model, the structural dynamic response analysis approach and results obtained in this work would be instructive in improving damper structure design, welding quality control and inspection.
Analysis of structure and mixing characteristics of a double barrel with differential velocity based on theory and discrete element simulation
Authors: Zhao Lingying , Ye Min , Gu Hairong , Wang Qingxian , Jiao Shengjie 
Published: August 2021

Abstract
The double barrel (DB) is the essential functional part of continuous asphalt mixing equipment, which affects the mixing uniformity of asphalt mixture. To improve the mixing uniformity of the mixture, a double barrel with differential velocity (DBDV) was proposed. The structure of DBDV and its influence on the mixing uniformity of the mixture were described. The current double barrel is divided into single horizontal shaft DB and double horizontal shaft DBDV. The discrete element simulation is used to compare the mixing uniformity of two kinds of DB. The results show that the mixing uniformity of double horizontal shaft DBDV is better than that of the single horizontal shaft DB, proving the correctness and rationality of the above analysis.
Design on non-stop transportation plugging device for subsea pipeline
Authors: Jiang Hao , Meng Lingzhi , Niu Xuebin , Zhang Lijun , Wang Longting , Li Dawei , Xu Wenkai , Zhang Binghui 
Published: August 2021

Abstract
The process of plugging with pressure outside the subsea pipeline is cumbersome. The common technology cannot transport oil and gas during the maintenance process, and a new type of subsea pipeline non-stop transportation plugging technology is proposed. In this paper, an oil and gas pipeline with a diameter of 324mm and a pressure of 3MPa is taken as the research object for overall design and feasibility analysis. The anchoring and sealing performance of the packer is calculated, checked and analyzed using the element method. The results indicated that the plugging device can meet the plugging requirements of non-stop transportation of subsea oil and gas pipelines in maintenance.
Application of wireline intelligent separate-layer water injection technology in Huabei Oilfield
Authors: Zhang Xu , Zhu Ruibin , Li Gaofeng , Jiang Yan , Xiong Wei , Zhao Fei , Wang Jianning , Lin Chunqing , Liu Qilun , Li Ran 
Published: August 2021

Abstract
In order to increase the separate-layer water injection effect of heterogeneous sandstone reservoir in Huabei Oilfield, improve the qualified rate of water injection and reduce the workload of sealing, testing and adjustment, the wireline intelligent separate-layer water injection technology was used. This technology can remotely read the downhole water injection flow, temperature, pressure which was collected by the intelligent water distributor in real time on the ground. And it also can adjust the nozzle size of the intelligent water distributor in real time to make the sealing test and adjustment work easily. Up to now, there are 180 wells were implemented by wireline intelligent separate-layer water injection technology in Huabei Oilfield. This paper introduces the characteristics, key tools and construction auxiliary devices of the wireline intelligent separate-layer water injection technology. And it also evaluates the effect of the 33 wells which were implemented in the past year. The effective probability of 33 well groups is 92%, and that of corresponding wells is 83.8%. The cumulative oil increment is more than 277830 bbl and it has saved the cost of sealing test and adjustment work by 33.12 million yuan. The effect is remarkable on cost decreasing and benefit increasing. The wireline intelligent separate-layer water injection technology can improve the water flooding oil recovery effectively and it is helpful to the accurate development of oil reservoir. This technology has great value of application and popularization.
Design of shock-resistant miniaturized shipborne radar confluence ring
Authors: Dai Ye , Lin Fangmi , Zhu Zenghui , Chen Yang 
Published: August 2021

Abstract
In order to reduce the overall size of the shipborne radar and improve the reliability of signal transmission, a miniaturized design has been carried out on the shipboard radar confluence ring. The miniaturized confluence ring adopted the electric contact form that the brush wires and the conductive ring are matched. The brush wires and the conductive ring coating used high-performance noble metal electrical contact materials, and the contact force was designed to be 0.1N to ensure the reliable and effective electrical contact. In addition, the dynamic design analysis method (DDAM) was used to analyze the shock resistance of the confluence ring. The test results showed that the size of the confluence ring had been reduced, all performance indicators met the requirements, and reliable transmission of various signals could be realized; the calculation results showed that the maximum impact stress of the confluence ring was less than the yield strength of the shell material, which met the requirements of the ship equipment shock resistance design requirements. The design method and analysis results have reference value and guiding significance for the miniaturization design and shock assessment of shipborne radar confluence ring.
Adaptive fuzzy control method of hydrogen fuel cell gas supply system
Authors: Wang Weidong , Chen Jing , Xiao Chun , Cheng Nanding 
Published: August 2021

Abstract
This paper takes the hydrogen fuel cell gas supply system as the research object. Firstly, it analyzes the working principle of the hydrogen fuel cell and the control requirements of the gas supply system, then uses the fuzzy adaptive PID control algorithm to regulate the gas pressure of the system. Finally, Matlab/Simulink software simulation platform is used for simulation verification, and the control effects of conventional PID control and fuzzy adaptive PID control are compared. The results show that the gas supply system based on fuzzy adaptive PID control can effectively regulate the gas pressure value and has a good control effect.
Research on hidden dangers of oil-flow relay in HVDC converter transformer
Authors: Chen Kun , Yao Qixin , Huang Zengrui , Wang Ting 
Published: August 2021

Abstract
HVDC converter transformer oil-flow relay plays an important role in realizing non-power protection of converter transformer on-load tap changer, which can act accurately and directly affect the safe and stable operation of the whole HVDC program as well as the converter transformer itself. In this paper, the research revolves the hidden dangers of HVDC converter transformer and its identification. The paper begins with the analysis of the converter transformer operating principles of two German companies: MR and EMB. Then, the current application status and related inspection requirements of oil-flow relay are expounded. Finally, pertinent hidden danger identification and modification schemes are provided based on analysis of the danger in actual operation of oil-flow relay and its causes. The feasibility and effectiveness of the scheme are verified by the actual operation on site.
Supercapacitor hybrid energy storage system applied to photovoltaic power generation
Authors: Liu Hui , Zhu Longji 
Published: August 2021

Abstract
In order to solve the problem of power pulsation at the DC bus side caused by uneven illumination or load fluctuation, a hybrid energy storage system for supercapacitors is proposed. In the hybrid energy storage circuit, inductors are added to form a high-frequency filter with the supercapacitor, and the supercapacitor absorbs the high-frequency current component of the DC side. The traditional droop control strategy is adopted to effectively filter the high-frequency current component of the battery side, and the battery is responsible for processing the low-frequency current component. The simulation results show that the proposed hybrid energy storage system can reduce the voltage pulsation of the DC bus, and the response and recovery speed is faster, which can effectively suppress the power pulsation on the side of the photovoltaic DC bus.
State-of-health estimation and remaining useful life prediction of lithium-ion batteries based on extreme learning machine
Authors: Wei Meng , Ye Min , Wang Qiao , Wu Chenguang , Ma Yuchuan 
Published: August 2021

Abstract
Lithium-ion batteries have been widely applied in electric vehicles, accurate health state prediction of batteries is one of the key technologies to obtain optimal operation and health management. To achieve the highly accurate state of health (SOH) estimation and remaining useful life (RUL) prediction, a framework based on extreme learning machine (ELM) is proposed. Firstly, the indirect health indicators are extracted from discharge data. Then, the ELM model is proposed to estimate SOH and predict RUL. Finally, the propagation neural network based on particle swarm optimization (BPNN-PSO) is compared with the ELM method. The results show that proposed method hits lower average root mean square error for SOH and RUL.