bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of Kudoa septempunctata infections in a human intestinal epithelial model (Caco-2): a DNA microarray study
Authors: Yamamoto So , Kawano Fumi , Yokoyama Hiroshi , Kobayashi Shoko 
Published: January 2020

Abstract

Kudoa septempunctata
, a myxosporean parasite infecting the trunk muscles of olive flounder (Paralichthys olivaceus), is reported to cause food poisoning in humans. The molecular mechanisms underlying the toxicity of K. septempunctata spores remain largely unknown. In the present study, we examine the molecular basis of such toxicity using DNA microarray analysis of K. septempunctata-inoculated human colon adenocarcinoma cells (Caco-2). We observed that the transepithelial resistance of the K. septempunctata-inoculated Caco-2 cell monolayers decreased markedly. DNA microarray analysis revealed that the mRNA expression profiles of control and inoculated cells clearly differed. Inflammatory and bacteria-related pathways, such as interleukin-8 (IL-8) production and MAPK/NF-kappa B pathway, were enriched. The concentrations of IL-8 and serotonin (5-HT) were higher in inoculated cells than in controls. K. septempunctata invasion damages the human intestinal epithelium, causing increased production of IL-8 and 5-HT, which likely results in the vomiting associated with K. septempunctata invasion.

Abbreviations
AP-1: activator protein 1; DAVID: Database for Annotation, Visualization and Integrated Discovery; ENS: enteric nervous system; FARMS: Factor Analysis for Robust Microarray Summarization; FDR: false discovery rate; GO: Gene Ontology; 5-HT: 5-hydroxytryptamine; IL-8: Interleukin-8; KEGG: Kyoto Encyclopedia of Genes and Genomes; K. septempunctata: Kudoa septempunctata; NF-kappa B: nuclear factor-kappa B; TJ: tight junction; TER: transepithelial electrical resistance
Research on productivity effect of manufacturing capital accumulation——an empirical study based on data of manufacturing enterprises in Beijing, Tianjin and Hebei
Authors: Fan Xiaonan , Li Qiyue , Feng Chong 
Published: January 2020

Abstract
Based on the panel data quantile regression, the horizontal and vertical comparisons reveal the marginal effect of the capital accumulation of the Beijing-Tianjin-Hebei region on the growth of total factor productivity. Combined with the heterogeneity of regions and industries, this paper provides a theoretical basis for how to effectively invest and how the government solves the mismatch of capital. The study found that although the increase in investment has a positive effect on the technological progress of enterprises, the dividend of capital investment has gradually disappeared, and the overall trend is inverted U-shaped. In terms of sub-regions, increasing investment in quality is still the main problem that Hebei Province facing in the future. Different industries also present different characteristics. A few industries have shown an increase in investment increased the growth rate of total factor productivity.
Integrated preparation of long-life hydrogen storage alloy film/Ni foil composite electrode material
Authors: Chen Ying , Wen Zi 
Published: January 2020

Abstract
An integrated preparation method of a long-life hydrogen storage alloy film/Ni foil composite electrode material has been proposed in this paper. The hydrogen storage alloy film/Ni foil composite electrode material was prepared by magnetron sputtering. The prepared film composite electrode effectively reduces the electron/ion diffusion distance, increases the specific surface area of alloy, and reduces the contact resistance between the active material and the current collector. Furthermore, the integrated preparation of long-life hydrogen storage alloy film/Ni foil composite electrode material is realized by depositing method. This paper provides a simple and effective method for reducing the internal resistance and increasing the electrochemical reaction rate of the hydrogen storage alloy, and the prepared film composite could be a promising candidate for Ni-MH batteries.
Study on performance of integrated pipeline vibration isolator
Authors: Lao Xingsheng , Liu Yong , Dai Chunhui , Wu Jun , Lyu Weijian 
Published: January 2020

Abstract
For power machine pipeline, a pipeline isolator with integrated pipeline surrounding rubber and base vibration isolating rubber is designed. Adjusting the rubber parameters of the pipeline mainly changes the impedance of the isolator and adjusting the base rubber mainly changes the force transfer rate. Thus the optimal vibration isolation effect can be achieved by increasing the rubber hardness of the pipe surrouding rubber and reducing the rubber hardness of the base rubber. The analysis also shows that the base rubber structure has a decisive influence on the low-frequency vibration isolation performance of the integrated pipeline isolator compared to the pipeline rubber.
Preparation of pesticide microspheres based on polylactic acid: optimized by response surface methodology
Authors: Li Yan , Dai Jiakun , Cao Duo , Ma Yu , Zhen Lisha , Chang Fan 
Published: January 2020

Abstract
Polylactic acid, as a kind of environment-friendly material, has excellent biodegradability, biocompatibility and plasticity. In recent years, it has been widely used in medicine, packaging and other fields, but rarely in agriculture. In this study, the process of buprofezin - polylactic acid microsphere was optimized by response surface method. Changing parameters, especially the concentration of PLA and the PLA/drug ratio, can increase the encapsulation efficiency of buprofezin - PLA microspheres. Ultimately, the highest encapsulation efficiency reached to 96.47%. The result of FESEM and laser particle size distribution analyzer showed that the microspheres have smooth surface and good dispersion, with particle size of 34.2 μm.
Double-objective optimization simulation and orthogonal experiment of shredding roller for silage machine
Authors: Jiang Yingshuai , Li Guoping , Zhang Xiangfang 
Published: January 2020

Abstract
At present, the main factor affecting the quality of the silage of the silage machine is the shredding roller. Therefore, a theoretical model based on single-page hyperboloids and a shredding roller with a herringbone arrangement are designed. Then, the theoretical analysis of each key parameter was carried out. The consumption of energy and throwing height of the shredding roller can be targeted, and the orthogonal simulation was performed on each parameter combination. The optimal parameter combination was obtained as the rotational speed of 1426r/min, the rake angle is 53°, the sliding-cutting angle is 8°, and the influence of each factor and level on the consumption of energy and the throwing height is analyzed successively. The verification of experiment that the shredding loss rate was reduced by 5% compared with the pre-optimization, the optimized of broken stems is 25% higher than pre-optimization, the throwing height was 30mm higher than the pre-optimization, and the consumption of energy was reduced by 3.1% compared with the pre-optimization. The optimized of objective was within the prescribed range.
Analysis and Research of Molten Copper Sloshing in Mould of Anode Based on VOF Method
Authors: Zheng Jie , Li Guoping , Teng Xinyi , Qiu Zefeng 
Published: January 2020

Abstract
In the production process of anode, the quality of anode is affected by the sloshing of molten copper caused by casting wheel during operation. Therefore, it is significant to study the sloshing of molten copper and the motion model of casting wheel for improving the quality of anode. Using VOF method and UDF to study the sloshing of molten copper and the motion characteristics of casting wheel. Establishing the ΔH – a model through the method of FLUENT and MATLAB. The optimal motion model of casting wheel is S-model.
Research on path planning of locally added path factor dijkstra algorithm for multiple AGV systems
Authors: Wu Guorong , Sun Xuan 
Published: January 2020

Abstract
Aiming at the problem of relative encounter path conflict in multi-AGV systems under special working conditions, a path planning method is proposed to limit the running direction of AGV by adding path factor to Dijkstra algorithm. This method can realize simple traffic rule formulation. Effectively reduce the conflict of opposite encounter paths and achieve the purpose of orderly operation of multiple AGVs.
Analysis of circular steel tubular columns under the coupling of fire and impact
Authors: Yuan Tingwei , Li Chunting , Zhang Qiuyue 
Published: January 2020

Abstract
Aiming at the coupling of a pair of sliding circular steel tubular columns with one end fixed by fire and impact, this paper analyzes the model by finite element software ABAQUS. The impact load is applied to the mid-span of the test piece. Through the analysis of the displacement of the mid-section of the test piece, the following three points are clarified: 1) The circular steel pipe column absorbs energy through integral plastic deformation and local plastic deformation; 2) The displacement of the end of the circular steel tubular column and the displacement and displacement of the upper and lower surfaces of the span depend on the axial compression ratio, the impact velocity and the temperature; 3) Under the coupling of fire and impact, the safe area of the column member depends on the temperature. And axial compression ratio; the greater the temperature and axial compression ratio, the smaller the safety zone. In order to study the concrete-filled steel tube under the coupling of fire and impact.
The damping effect Analysis of viscous damper in eccentric concrete frame structure
Authors: Fang Zhou , Zhang Qiuyue , Wang Chongge , Liu Zhichuang 
Published: January 2020

Abstract
The application of viscous dampers in structures can effectively reduce the inter-layer displacement of structures, especially they can reduce the torsional effects of structures in earthquakes. We can simplify the eccentric structure into a series rigid plate model and divide it into three types: a model of the viscous dampers are provided at position 1 of the eccentric structure, and a model of the steel supports are set at position 1 of the eccentric structure and a original structural model . Then analyzing the earthquake resistance of a 13-layer eccentric concrete structure model using SAP2000, It is concluded that the model of setting the steel supports can effectively reduce the horizontal displacement of the structure compared with the original structural model, but the effect of reducing the torsional displacement is not obvious enough; the model of setting the viscous damper can not only effectively reduce the inter-layer displacement of the structure, but also effectively reduce the torsional displacement of the structure; Setting the viscous dampers can effectively reduce the inter-layer writhing displacement of the structure than setting the steel support model on the premise of reducing the same level of horizontal inter-layer displacement.
Green Intelligent Logistics Sorting System in Big Data Environment
Authors: Gao Xinyue , Liu Lei 
Published: January 2020

Abstract
By referring to the current sorting process of logistics sorting equipment, combined with emerging technologies, green concepts and big data statistics, it is possible to predict the trend of future sorting systems and integrate existing technologies. First, investigate and research existing logistics warehousing. Next, the intelligence and automation of existing intelligent sorting are investigated. After investigating, on the basis of the above, this study analyzes the trend of the future sorting system and combines with the concept of green logistics. It optimized classification under principles of green warehousing conceptual to make the classification more efficient, more space-saving and more convenient; it uses the big data statistics technology to collect logistics information, provides information to the logistics company to re-plan the sorting point, and feedback to the electronic merchants to obtain the location of different kinds of online shopping products in each region, and make it possible to purchase goods in a targeted manner.
Research on Bearing Fault Diagnosis of Submersible Pump Motor Based on LMD and SVDD
Authors: Yuan Zhengtao , Song Fangzhen , Dou Renjie 
Published: January 2020

Abstract
The motor is a key component of the submersible pump. The health of the motor would greatly affect the safety and efficiency of the submersible pump. The bearing fault is one of the most common faults in motors. Therefore, detection and diagnosis of bearing faults are essential in the condition monitoring of pumps. In this paper, the local average decomposition (LMD) method is used to analyze the bearing vibration signals of submersible pump motor and extract feature vectors. A fault diagnostic model is established by the support vector data description (SVDD) to determine whether the submersible pump motor is faulty. The developed model exhibits practical significance in condition monitoring of submersible pump motor bearings.
System Design of Small-scale Seawater Desalination Device
Authors: Feng Lingzhi , Zheng Yuanzhou , Zhang Aobo , Lu Tianfu , Miao Tongyao , Peng Yunhui 
Published: January 2020

Abstract
Water is of great significance to the subsistence and development of human beings. As we all know, fresh water issues have always been a major problem to the ocean navigation, as the existing desalination devices generally have the disadvantages of large volume, highenergy consumption, which would bring pollution to the environment. Basing on the study results in existence, this paper presents a new system design of small-scale seawater desalination device, which founds on the enhanced heat transfer processes of fluid phase change, including loop heat pipe technology, new type of heat-sink type spoiler evaporator and integrated soaking plate fin condenser to implement the low-power and low-temperature system. This system covers an area of only 1.8m2, as the energy consumption is 62.5% of the reverse osmosis desalination method and 20% of the multistage distillation desalination method under the same conditions. What’s more, the system consists of the loop heat pipe based on the phase change thermal principle, integrated soaking plate fin condenser and the new type of heat-sink type spoiler evaporator, improves the heat transfer efficiency, besides it has low pollution.
Study of pulping technology on disposable tableware using withered leaves as raw material
Authors: Liu Bo-Fan , Liu Ming-Dan , Jin Peng , Zhong Yi-Xin 
Published: January 2020

Abstract
Disposable tableware is widely used around world due to its advantages such as sanitation, thermal preservation and low price. However, more and more countries are restricting the use of disposable tableware due to its difficulties in recycling and degradation in the natural environment. If disposable tableware is made of photobiodegradable PP plastic or high-impact polystyrene (HIPS), it is difficult to degrade and has a great impact on the earth environment. In this study, four kinds of withered leaves were selected as raw materials and mechanical chemical pulping method and caustic soda pulping method were used for experiments. The main processes include pulp preparation, adsorption and drying. The experiment indicated that withered leaves of magnolia grandiflora was the best raw material for making recyclable tableware.
Fast wave front correction method of reception diversity laser communication based on the analysis of distorted wave front of different receivers
Authors: Xu Chenlu , Hao Shiqi , Wang Yong , Liu Yujie , Zhao Qingsong 
Published: January 2020

Abstract
Reception diversity laser communication can improve the channel capacity as well as weaken light intensity scintillation caused by atmospheric turbulence. However, it can’t reduce the wave front distortion. Wave front distortion is usually corrected by adaptive optics system, because that reception diversity laser communication has more than one receiver, it would take much more time as well as resources to correct the distortion of different receivers. Based on the analysis of wave front distortion of different receivers, we set the best correcting voltage of one receiver as the initial correcting voltage of the other receiver, it can be concluded from the simulation that using the method we propose need less iteration times than the traditional methods when achieving same correcting effect and it can also achieve higher correcting effect when setting same iteration times.
Study on damage of polyimide target irradiated by Pulsed CO2 Laser
Authors: Wu Jiacheng , Hu Yue , Wang Xi 
Published: January 2020

Abstract
In this paper, the PI damage caused by pulsed CO2 laser was simulated. The theoretical model of PI damaged by pulsed CO2 laser was established. The temperature and stress distribution in PI samples were numerically analyzed by finite element method. The simulation results show that under the condition of low incident laser energy, serious melting damage has occurred on the PI surface, and there exists thermal stress damage. The damage of PI by pulsed CO2 laser is mainly thermal damage, and the melting phenomenon will be obvious.
Measurement of raised pavement marker’s photometric performance
Authors: He Huayang , Leng Zhengwei , Xue Yingqi , Zhou Yishu 
Published: January 2020

Abstract
Large error exists in the photometric performance test of raised pavement marker. This paper reports a set of retroreflective measurement standard devices built to measure raised pavement markers based on the principle of direct measurement, and the photometric performance of the raised pavement markers was tested. The study also involved calibration of a portable meter using the standard device. According to the experimental comparison, the method proposed in this paper provides a new direction for the development of retroreflection measurement technology. The results measured by the proposed method showed high accuracy. This method can solve the large measurement error problems with indication errors of 2% at most.
Effective Backbone Network for 3D Object Detection in Point Cloud
Authors: Xu Jun , Ma Yanxin , He Songhua 
Published: January 2020

Abstract
Three-dimensional (3D) object detection is composed of object classification and object localization, and has been used in many applications, such autonomous driving and mobile robot. However, the accuracy of classification and localization is greatly affected by the depth of the network. Shallow networks tend to cause poor classification, but as the depth of the network increases, the network degradation will become more obvious, which is not conducive to the training of network. To solve this problem, a novel Backbone Network is proposed in this paper for 3D object detection in point cloud, which consists of multiple residual modules. Experimental results on the KITTI 3D object detection benchmarks show that Backbone Network proposed can effectively improve the accuracy of 3D object detection.
Small target detection and window adaptive tracking based on continuous frame images in visible light background
Authors: Wang Zheng , Zeng Jianping , Xie Xiaoli , Wu Wuming , Chang Shengli 
Published: January 2020

Abstract
Due to the difficulty in distinguishing the target and the noise in the visible light background and the loss of the target for a short period of time, a scheme of track association and target tracking for the small target in the sky is carried out. Multi-feature similarity is taken into account, such as the maximum intensity, the maximum brightness, the size and the moving speed. Firstly, the trajectory prediction is carried out by the least square prediction method. By updating the real-time data to deduce the trajectory parameters, the target position in the next frame image is predicted. Based on the trajectory confidence test, all current recorded trajectories are traversed. The over-confidence trajectory is detected and the trajectories of continuous lost points are deleted, as well as the trajectories below the threshold of confidence. For the trajectory of the over-confidence, the target trajectory without the significant motion feature is deleted by judging the magnitude of the moving speed, so that the effective trajectory can be displayed while the false target is eliminated. Then, the target tracking is carried out, which is based on the LOG filter and the constant false alarm rate segmentation. Considering the temporal and spatial continuity of the target trajectory and the randomness of the amplitude and position of the noise, the false alarm rate can be reduced by eliminating the high amplitude noise by using the difference between the two in terms of temporal and spatial correlation. Owing to that the setting of the division threshold is not less than 5 times the background variance of the window image, the generation of the noise by the constant false alarm rate segmentation can be avoid when there is no target. In addition, the target coordinates may be abrupt due to sudden changes in target speed and the jitter of the image acquisition equipment. Therefore, we propose a dynamic adjustment scheme for the tracking window size to enable window adaptive tracking, which can set the length and width of the rectangular window to k times of the original size according to actual needs. At the same time, the number of points of the relatively stationary target in each frame of the image can be counted in real time. Finally, the reliability of the method is verified by simulation experiments, and the running speed is relatively fast and the recognition accuracy is relatively high.
Security study of laser measuring methods on high explosives
Authors: Gao Zheng-Ming , Zhao Juan , Li Su-Ruo 
Published: January 2020

Abstract
Interaction activities between the laser photons and the molecular of high explosives were described; the threshold of the laser beams’ power on the surface of the high explosives is achieved limiting the interaction probability between molecules of the high explosive and the photons, their changes of properties with the mathematical norm commonly used in engineering. Research confirm the security of common active optical measuring methods on high explosives, and prove the capability of their wide applications in measuring the properties and state characteristics of high explosives.
Study on the Interaction between Channels of Image Intensifier
Authors: Xie Yuntao , Liu Yang , Sun Xiaoquan 
Published: January 2020

Abstract
The experiment of mutual interference between channels of the UV imager was carried out. The plateform consists of jamming light with large area and target light with small area was established. The curve of the gray value of target light in image intensifier with the intensity of interference light was measured. Experimental results show that there is mutual interference between channels when the UV imager is irradiated by continuous laser and the mutual effects will benefit to suppress the target signal by reducing the gain of the adjacent channels. Theoretical mechanism of this phenomenon was studied. The electrical coupling model between channels was established, and the influence of transverse resistance between adjacent channels on the gain characteristics of adjacent channels was studied by nodal analysis. Numerical simulation results show that the transverse resistance between channels is the main cause of mutual interference between channels, which greatly influence the gain of the adjacent channels.
Effects of Gradient Optimizer on Model Pruning
Authors: Zhang Yang , Zhu Bin , Ma Qi , Wang Huanan 
Published: January 2020

Abstract
Deep convolutional neural networks deploy in applications are hindered by their large parameters and high computational cost. In this paper, we test different gradient optimizer’s effect on YOLOv3 model pruning. This is achieved by enforcing channel-level sparsity in YOLOv3 network. The model trained with Adam optimizer get 5× reduction in model size only after training 60 epochs.