bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prenatal glomerular changes during development of human foetal kidney
Authors: Joshi Roli , Deopa Deepa , Sinha DN , Singh AK 
Published: November 2019

Abstract
Background and aims: The cortical glomerulus shows many developmental changes during fetogenesis. Nonnalhistologyofthe fetal glomerulus at various stages of development was studied to get insight into the morphology of fetal glomerulus. Fetal glomerular study is a necessity for correlation with increase in gestational age and pathological changes which may affect the normal functioning of kidneys in fetal life. Method: Dissection of 70 normal human fetuses was carried out and histological findings of glomerulus were noted with respect to the age of fetus. The histology of fetal kidney was studied using H & E stain. Important developmental stages of glomerulus were observed. Results: Fetal kidney glomerulus histology is different from adult. Unlike in adult kidney, foetal kidney glomerulus shows many developmental stages as v, c, s, cresentric in starting phase. Multiple rows arrangement in between mednllary rays with well developed mature glomeruli at juxtamednllary junction. Capillary invagination with developed Juxta glomerular apparatus was appreciated. Nephrogenic zone which was found as hroad band in early gestational weeks disappeared near term. Conclusion: The present study will be helpful in understanding the normal histological architecture of foetal kidney glomerulus and add to the existing knowledge regarding development of foetal kidney, its relation with gestational age and pathogenesis.
Network architecture of energy landscapes in mesoscopic quantum systems
Authors: Poteshman Abigail N , Tang Evelyn , Papadopoulos Lia , Bassett Danielle S , Bassett Lee C 
Published: November 2019

Abstract
Mesoscopic quantum systems exhibit complex many-body quantum phenomena, where interactions between spins and charges give rise to collective modes and topological states. Even simple, non-interacting theories display a rich landscape of energy states—distinct many-particle configurations connected by spin- and energy-dependent transition rates. The ways in which these energy states interact is difficult to characterize or predict, especially in regimes of frustration where many-body effects create a multiply degenerate landscape. Here, we use network science to characterize the complex interconnection patterns of these energy-state transitions. Using an experimentally verified computational model of electronic transport through quantum antidots, we construct networks where nodes represent accessible energy states and edges represent allowed transitions. We find that these networks exhibit Rentian scaling, which is characteristic of efficient transportation systems in computer circuitry, neural circuitry, and human mobility, and can be used to measure the interconnection complexity of a network. We find that the topological complexity of the state transition networks—as measured by Rent’s exponent— correlates with the amount of current flowing through the antidot system. Furthermore, networks corresponding to points of frustration (due, for example, to spin-blockade effects) exhibit an enhanced topological complexity relative to non-frustrated networks. Our results demonstrate that network characterizations of the abstract topological structure of energy landscapes capture salient properties of quantum transport. More broadly, our approach motivates future efforts to use network science to understand the dynamics and control of complex quantum systems.
A systematic study of the negative thermal expansion in zinc-blende and diamond-like semiconductors
Authors: Yang Kaike , Xiao Jin , Luo Jun-Wei , Li Shu-Shen , Wei Su-Huai , Deng Hui-Xiong 
Published: November 2019

Abstract
Upon heating, almost all zinc-blende (ZB) and diamond-like semiconductors undergo volume contraction at low temperature, i.e. negative thermal expansion (NTE), instead of commonly expected expansion. Specifically, CuCl has the largest NTE among these semiconductors with a coefficient comparable with the record value of ZrW2O8. So far, underlying physical mechanism remains ambiguous. Here, we present a systematic and quantitative study of the NTE in ZB and diamond-like semiconductors using first-principles calculations. We clarified that the material ionicity, which renders the softening of the bond-angle-bending and thus, the enhancement of excitation of the transverse acoustic (TA) phonon, is responsible for the NTE of ZB and diamond-like semiconductors. With the increase in the ionicity from the groups IV, III-V, IIB-VI to IB-VII ZB semiconductors, the coefficient of the maximum NTE increases due to the weakness in bond-rotation effect, which makes the relative motion between cation and anion transverse to the direction of the bond more feasible and the mode Grüneisen parameters of the TA modes more negative. Since CuCl has the highest ionicity among all ZB and diamond-like semiconductors, it is expected to have the largest NTE, in good agreement with the experimental observation. This understanding would be beneficial for tetrahedral materials with specific applications.
A security transmission system for Beidou short message based on SM9
Authors: Hu Ruiyun , Ju Lei , Chen Pengyu 
Published: November 2019

Abstract
With the increasing application of Beidou communication technology, the safety of the short message communication process of Beidou satellite navigation system becomes more and more important. Direct communication with Beidou short messages lacks reliable data security protection measures. In order to transmit Beidou short message safely and reliably, according to the characteristics of Beidou short message protocol and message structure, this paper proposes a security transmission system for Beidou short message based on sm9, which can meet the security requirements of the communication, and the cost investment is also greatly reduced.
RETRACTED: Trend and Risk Prevention of Accounting Information under the Background of Big Data
Authors: Guo Xiaohui 
Published: November 2019

Abstract
The development and progress of the times have certain laws and characteristics, and the era of big data also has its own unique characteristics and development direction. However, while promoting the improvement and development of economic level in all areas of society, there are also some problems in the development of the era of big data. In the context of the big data era, the exchange and sharing of information has increased rapidly. But at the same time, it also brings more difficulties in the field of traditional accounting information calculation. Traditional accounting management can not meet the needs of the times, which is out of the international development track. Therefore, under the background of big data, we need to make a reasonable analysis on the development trend and risk of accounting informatization.
Video Super-Resolution using Multi-Frames Fusion and Perceptual Loss
Authors: Zhu Xiaonan , Zhao Yucong , Wang Ping , Wang Yuanchen , Ma Jiquan 
Published: November 2019

Abstract
Video super-resolution (VSR) has become more and more important in vision perception. Currently, most of video super-resolution methods used optical flow estimation by explicit motion compensation. We proposed a new network using multi-frames as input without motion compensation. In order to improve the performance of the reconstructed high-resolution (HR) frame, perceptual loss function is used to evaluate the deviation between the prediction and ground truth. Perceptual loss characteristic is able to improve the quality of image reconstruction on the vision, but with a low Peak Signal to Noise Ratio (PSNR). Experimental results show that compared with other methods, our model can recover more details in high-resolution image, although it does not get higher PSNR value.
Research on Reliability of Positioning Error Measurement for NC Milling Machine
Authors: Chao Zeng 
Published: November 2019

Abstract
Laser interferometer is the common tool to measure the positioning error of CNC machine, and its measurement process will be affected by external factors. Therefore, it is very important to ensure the error accuracy which measured by laser interferometer for compensating the error of CNC machine tools. The positioning error of MVC850B CNC milling machine was measured by Renishaw laser interferometer. Firstly, the positioning error of it was measured in standard and actual environmental parameters, and measured results were comparatively shown in factors of temperature, air pressure and humidity. Secondly, the influence degree that in three conditions of feeding speed, interval distance and processing time was analyzed by the errors of reverse clearance and screw pitch cumulative. Finally, with the statistics of positioning errors measured in a certain period of time, this paper analyzed the reliability of positioning errors measured by laser interferometer and analyzed the variation of milling machine motion axis errors. Meantime, the possible location of machine errors can be predicted, and the positioning accuracy of CNC milling machine would be promoted.
Research on volume compression control system of solid and liquid food in bowl based on PLC
Authors: Liang Kai , Ai Changsheng , Ren Gangchang , Bao Yequan , Geng Dunyang 
Published: November 2019

Abstract
In order to solve the problem of liquid and solid food products in bowls produced by enterprises, the liquid and solid food products spilled during manual operation of food compression process. Product weight reduction affects production efficiency and labor intensity of workers. The specific control parameters are obtained through the orthogonal experimental design and observation method. Adopt digital control technology and design method of mechanical structure. The numerical control system can precisely control the movement and rotation of the pressure plate, and realize the numerical control functions of position, speed and force Angle in the compression process. The touch screen and PLC are the control core. Photoelectric sensor to obtain position parameters, servo motor drive screw linear module slider movement, stepper motor drive disk rotation Angle, touch screen to achieve man-machine interface. It provides research basis for further optimization and numerical control system of different solid-liquid food materials compression.
Assembly Error Modeling and Calculating Method of Precision Mechanical System
Authors: Min Zhang , Zhijing Zhang , Lingling Shi , Weimin Zhang 
Published: November 2019

Abstract
Nowadays, there is no effective quantitative analysis method to describe the influence of design tolerance on the machining error of parts and the assembly accuracy of mechanical system at the design stage, which makes it difficult to analyze, predict and control the assembly accuracy in the actual assembly process, Aiming at this problem, a method for representation and modeling of geometric errors of parts is proposed. Furthermore, based on the above-mentioned geometric error modeling method of parts, a research method of geometric error transfer analysis and modeling for precision mechanical system oriented to actual assembly process is proposed.
PMSM speed control method based on Kalman filter and dynamic fuzzy control in electric vehicle
Authors: Ju Xiaohui , Wu Feng , Shi Linjun 
Published: November 2019

Abstract
Electric vehicles are widely used today, however, the phenomenon of sticking and shaking often occurs during starting, crawling and shifting. The cause of this phenomenon from the perspective of motor control was analyzed in this paper. In view of the disadvantages of low measurement accuracy of position sensor and traditional PID control, a dynamic fuzzy control speed control system based on Kalman filter optimal measurement was proposed. The principle of the system is simple, with good dynamic and static performance, which improves the accuracy of vehicle starting, crawling and gear shifting, and shortens the adjustment time.
The study on data migration from relational database to graph database
Authors: Nan Zhihong , Bai Xue 
Published: November 2019

Abstract
Under the background of big data, using relational databases to manage massive data may have some problems just like storage capacity and query efficiency. So, there is a new kind of databases called NoSQL to store data. However, the data models of NoSQL databases are different from relation databases. In order to finish migrating historical data from relational databases to NoSQL databases, in terms of graph database in the NoSQL databases, this paper takes ER diagram as the original model, graph model as target, and makes some transformational rules by using the relationships of entities. And this paper proposes an algorithm which can finish data migration by traversing ER diagram and using the transformational rules. This method can reduce the impact of model differences between relational databases and graph databases, ensure the integrity constraint of data, and automatically complete data migration. The experimental results show the validity and correctness of the data migration.
Communication Network Discovery through Correlation Matrix
Authors: Ti Guan , Yujie Geng , Qiang Ma , Yong Liu , Lin Lin 
Published: November 2019

Abstract
Communication network discovery is a herculean task for IDC operators, who usually been lacking of the knowledge of business architecture. The traditional method, by analyzing the source address and the destination address inside of the communication packet, to explore the network connection graph is extremely inefficient, especially when dealing with the hybrid network. This paper presented a novel approach to discover the communication network through the correlation matrix of the cpu utilization dataset.
Improved Wavelet Denoising by Penalty Function and Regularization Parameter
Authors: Wei Wanhui , Zhou Wei , Wu Yongjun 
Published: November 2019

Abstract
Wavelet-based convex optimization in sparse signal processing has attracted extensive research interest in recent years. Research demonstrates that the penalty function promotes the sparsity and improves the accuracy better than L1 norm method in dealing with convex and sparse signal reconstruction issues. This paper presents an improved denoising model which utilizes a penalty function to induce stronger sparsity in wavelet domain. In this paper, we have redefined the relationship model between signal noise levels and the regularization parameter to enhance sparsity caused by penalty functions in a wavelet domain. And three penalty functions are employed for wavelet coefficients to induce strong sparse wavelet coefficients under the wavelet domain. We then apply the improved wavelet denoising algorithm for image denoising to get the values of the PSNR are analysed under different noise level conditions. Experimental results clearly show that the improved wavelet denoising model is strength in terms of both quantitative measure and structural similarity quality, and outperforms many widely used denoising algorithms.
Numerical Simulation and Topological optimization of the dry clutch pressure plate
Authors: Zheng Xianling , Gong Yubing 
Published: November 2019

Abstract
The common dry clutch pressure plate was prone to produce high temperature and axial thermal deformation due to the frictional heat generated during engagement. The overheated and overdeformed pressure plate decreases the torque transmission capacity of the clutch system and causes some kind of clutch malfunction including clutch slip and fracture. In this paper, the clutch pressure plate was firstly optimized by the topological optimization. Inspired by the topological optimized result, an improved design of the pressure plate was brought out, where the specific radial cooling channels and axial cooling holes were introduced in the new improved design in order to improve heat transfer and reduce the mass and thermal deformation as well. The performance of the new improved design is simulated and further optimized by the FE method. It is indicated that the mass of the optimum pressure plate was greatly reduced from the original design, with a mass reduction of 3.1 kg. The axial thermal deformation is also significantly decreased from the original pressure plate, decreasing from the original 0.35mm to the present 0.28mm while keeping the maximum temperature of pressure plate unchanged. These comparisons show that thermal-mechanical performance of the new pressure plate is improved effectively.
Application of blind source separation in sound source separation
Authors: Xu Jiarui 
Published: November 2019

Abstract
The classic method for solving the cocktail party problem is by utilizing Independent Component Analysis (ICA) method to separate different sounds. Since ICA method deals with each frequency point of the audio signal individually, there is a classic sorting problem. However, for Independent Vector Analysis (IVA), which makes use of the correlations between different frequency points of the same sound source, the audio of the same sound source can be isolated at one time without sorting problems. For music signal, due to the rhythm of music, there may be a strong correlation between different frequency points of the same sound source, so IVA method could be used for signal separation. This paper will discuss the application of IVA method in music sound separation and its application in music related speech recognition system from three aspects: basic principle, code implementation and performance analysis.
Analysis on the Influence Factors of Propellant Tank Stress
Authors: Xin T D , Yang D P , Duan Y S 
Published: November 2019

Abstract
The propellant tank is a vital structure for the liquid rocket, and the analysis of influence factors to the propellant tank stress can provide a significant reference to design the propellant tank. Through establishing the ellipsoid cylindrical tank model, the meridian stress and hoop stress distributions of tank roof, cylinder and bottom are analysed. And then the equivalent stress is defined based on the material strength theory. According to the parameters of a certain type tank, the equivalent stresses of tank roof, cylinder and bottom are worked out with different ellipsoidal norms, overload factors, tank radiuses and internal pressurizations, the effects of these influence factors on the tank stress are analysed, and the change laws of tank roof, cylinder and bottom equivalent stresses are determined to provide a reference for the design of propellant tank.
Research on Servo Transmission Control System of Laser Micro-Texture Machining Machine
Authors: Wang Fan , Wu Guoqing , Zhang Xudong , Huang Zhenyi 
Published: November 2019

Abstract
In the process of laser surface micro-texture processing, the instantaneous speed and instantaneous acceleration of the moving machine tool are high, the positioning error and repeated positioning error are difficult to control, and the precision of laser micro-texturing processing cannot be guaranteed. The dynamic model of the machine tool servo system is established. Based on the model, the error compensation scheme of the control system is designed. A speed and acceleration composite feedforward compensation PID control strategy is proposed. In order to illustrate the superiority of the proposed position accuracy compensation method, the PID control effects before and after compensation were compared. The results show that the position error of the system is reduced from 4μm to 1μm before compensation, and the repeat positioning accuracy is improved by 50%. Experiments show that this kind of control strategy can effectively reduce the position error of laser micro-texturing processing system, and has higher position tracking accuracy and repeat positioning accuracy, which satisfies the system’s demand for high-precision positioning, and is the surface micro-texture morphology. Performance studies provide more sophisticated machine tool servo control strategies and higher laser surface micro-texture machining accuracy.
Research on recoil dynamic characteristics of a gatling gun automatic machine
Authors: Sun Yifang , Li Li , Xie Feng 
Published: November 2019

Abstract
This paper takes an aerogun automatic machine as the research object, and uses the classical internal ballistic theory to establish a mathematical model for calculating the bore resultant force. The fourth-order Runge-Kutta solution is used to calculate the average pressure-time curve in the internal ballistic and after-effect period. The automatic machine virtual prototype model is established by using the 3D model of the automatic machine and the calculation result of the bore resultant force, and the recoil displacement, recoil velocity and recoil force of the automatic machine are obtained, which provides a theoretical basis for the subsequent research and design of the automatic machine.
Trajectory Planning for Rotational Chain Shell Magazine
Authors: Dong Ningning , Yin Qiang 
Published: November 2019

Abstract
To ensure the stability and reliability of the rotational chain shell magazine moving system, the trajectory planning such as cubic curve, quintic curve, T-shaped velocity curve and S-shaped velocity curve were considered in this paper. The effectiveness and feasibility of each trajectory planning method for the control system of the rotational chain shell magazine were verified by the combination simulation technology of MSC. ADAMS and MATLAB. The simulation results show that the S-shaped velocity curve satisfies the requirement of the smoothness and continuity of the trajectory of the magazine. It ensures the continuity of angular velocity and acceleration, and reduces the buffeting and impact effectively that other curves can’t satisfy. It is of great significance for the stability and reliability of the rotational chain shell magazine.
Comprehensive evaluation of urban livability
Authors: Liu Dengfeng , Zhang Chen , Yu Haixin 
Published: November 2019

Abstract
This article is based on the comprehensive evaluation of urban livability. This article selects the indicators to measure the urban livability, and uses the factor analysis method to reasonably screen the indicators, and establishes an improved BP neural network evaluation model to obtain the livability of different cities in Shaanxi Province. Monte Carlo simulation is used to analyze the impact of different indicators on urban livability. Then this article comprehensively considers the uncertain factors, establishes a predictive model of stochastic differential equations, and establishes a dynamic evaluation model to reassess the livability of cities.
Experimental investigations on wire electro-discharge machining (WEDM) of TiN/Si3N4 Nano-complex ceramics
Authors: Da Zhang , Chengmao Zhang 
Published: November 2019

Abstract
In this paper, the surface characteristics of TiN/Si3N4 nano-complex ceramics cut with wire electro-discharge machining are studied. The effect of single pulse energy on surface properties is investigated in detail. The microscopic observation of the surface appearance with the scanning electron microscope shows that the longer the pulse discharge time, the greater the pulse discharge current, the greater the single pulse energy, the deeper the surface discharge pit, the larger the size, the surface melting and re-solidification phenomenon is more serious. The micro-observation of the cross-section of the surface processed shows that the surface metamorphic layer includes the melting and re-freezing layer and the white layer, the thickness of surface metamorphic layer is about 1 to 10 μm. The longer the pulse discharge time, the greater the single pulse energy, the greater the thickness of the surface metamorphosis layer. Due to the randomness of the discharge process, the metamorphic layer is not uniform.