bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristics and Mechanism of Loess Landslides Induced by Strong Earthquake in The Loess Plateau of China
Authors: Pu Xiaowu , Xu Shiyang 
Published: November 2019

Abstract
The Loess Plateau is the main loess distribution area in China with strong tectonic activity and frequent earthquakes. This paper systematically summarizes the characteristics and mechanism of loess landslides induced by strong earthquakes. The geometric characteristics of loess seismic landslide are gentle slope with 10°∼25°. The motion characteristics of earthquake-induced loess landslides are high-speed and long-distance. The distribution characteristics of loess seismic landslides are also basically consistent with the distribution of earthquake active region, and mainly distribute in loess hilly and gully area or the edges of the loess tableland. Based on the mechanism of seismic instability of loess slope, we consider that there are three types of loess landslides: seismic subsidence type, liquefaction type and tension-shear coupling type.
The effect of make-up air system on the performance of oil fume collection in commercial kitchen
Authors: Chen Ruoning , Zhao Dongfang , You Xue-yi 
Published: November 2019

Abstract
Make-up air and exhaust system dominates the airflow pattern in the commercial kitchen. In this paper, the numerical simulations were performed to analyze and compare the effect of different make-up air modes on the flow field characteristics, the temperature and concentration of C19H30 distribution and the collection efficiency of fume particles. It was shown that air curtain supply can prevent oil fume from spreading out more effectively than ceiling supply (CS) mode. It improves primary collection efficiency when the exhaust airflow rate is less than 4500m3/h in upward air curtain supply (UACS) and 4000 m3/h in downward air curtain supply (DACS) mode, respectively.
Analysis of Heat Hazard and Exploration of Comprehensive Utilization Technology in Deep Buried Thick Coal——SeamTaking Ningzheng Mining Area as an Example
Authors: Yu Lan , Yang Rili , Zheng Chao , Yang Fengfeng , Su Ruiqing 
Published: November 2019

Abstract
At present, 53% of reserves buried under 1 kilometers in China and the amount of green coal resources is less than 500 billion tons. Ningzheng Mining Area is a newly developed large-scale coal mining area in Western China, and is the main succession area of coal resources in Gansu Province in the future. The coal seams are generally buried more than 1 kilometres. Taking the newly built mines in Ningzheng Mining Area as an example, this paper carried out a geological analysis of thermal environment and analysis of the main influencing factors of thermal hazards, established the model of mine production system, and explored several comprehensive utilization technologies of thermal hazards such as HEMS (High Temperature Exchange Machinery System) cooling technology model and gas, the cooling modes of power generation combined heat, power and cooling system and the artificial ice-making. The cooling technology can effectively guide the development of new mines in Western China in mines and the efficient utilization of resources.
Optimization of Different Carbohydrate-rich Foods Combining Carbon Footprint and Nutritional Value
Authors: Yang Xiaoke , Chen Qian , Chen Qiuhua , Xu Weijun , Xu Zhongyue 
Published: November 2019

Abstract
Background: The food system significantly contributes to global carbon emissions. Carbohydrate-rich (CR) foods are very important components of Chinese traditional foods. However, it is often neglected because animal-based foods are considered as more efficient to reduce GHG emissions. Optimized dietaries through linear programming considering nutrients intake and carbon emissions have raised attention of many researchers. Objectives: This study was highlighted on the carbon emissions of 19 common CR foods consumption in China and tried to develop a sustainable dietary scenario that can be both environment friendly and healthy. Results: Results showed that when providing sufficient nutrients, optimized refined grain produced much higher carbon emissions than the current CR food diet. A theoretical dietary pattern and a realistic dietary pattern could reduce carbon emissions significantly. Rice and tailored flour consumption substituted by whole grains, beans and tuber foods can both reduce GHG emissions and increase nutrients intake. Due to the demand difference in nutrients, dietary structure of males and females were significantly different. Conclusion: The importance of this study was showed implied potential for reducing carbon emissions from CR foods that was neglected usually. Besides, sustainable CR foods dietary patterns also generated to combine ecological and nutritional aspects.
Analysis on Professional Team Formation for Chemical Firefighting Based on Petrochemical Fire Treatment in A Certain City
Authors: Zhang Guoliang , Li Changhai , Lu Shouxiang 
Published: November 2019

Abstract
The petrochemical disaster accidents nowadays are often characterized in large scale and great complexity, showing features of abrupt happening, severe damages, high requirements on firefighting techniques, great disposing difficulties, and long firefighting time. The technical and tactical research on petrochemical fire disaster disposition has always been a vital subject of the fire brigade. In this paper, in view of firefighting combat estimation, technical and tactical application and equipment model selection under different fire disaster conditions, the basic combat formation and equipment standard were proposed according to the petrochemical industry layout and structural features of a certain city. It is significant to further standardize the formation of daily training and cross-region joint operation. Meanwhile, it can effectively enhance the professional ability and level of the firefighting team in disposing petrochemical accidents.
A comprehensive and comparative analysis of liposoluble constituents in sloughs of five different species of snakes by GC-MS
Authors: Chunfu Shao , Wei You , Minsha Qiao , Fan Wang , Changwen Li , Yujie Dai 
Published: November 2019

Abstract
As a sort of traditional Chinese medicine (TCM), snake sloughs have been proved to be effective in curing miscellaneous diseases such as pruritus, muscular spasm and laryngalgia. However, there are few researches on their chemical components, especially the discriminant analysis based on different species. In this study, the liposoluble constituents in sloughs of five species of snakes (Deinagkistrodon, Elaphe carinata, Naja atra, Ptyas mucosus and Zaocys dhumnades) were revealed by comparative evaluation on GC-MS analysis that fatty acids (49.89%-54.65%) and steroids (13.55%-24.98%) were their major components. Moreover, the content of polyunsaturated fatty acids was found by cluster analysis to be the key index to distinguish the quality of a snake slough. It could be concluded that the slough of Naja atra be more appropriate to be a raw material of traditional Chinese medicines. It was also concluded that the GC-MS based method as well as the experimental results could be of referential value for further studies on the efficiency and activities of snake sloughs.
Research on an accurate heart rate extraction method based on image sequence
Authors: Yu Jiang-jun , Zhou Liang , Liu Zhao-hui 
Published: November 2019

Abstract
We had collected the video frame of people’s index finger by the smart phone, and then extracted the human’s pulse signal by analyzing the sequence images. When the original signal exists serious noise interference, the traditional heart rate detection algorithm is not applicable. Therefore, we proposed a heart rate extraction algorithm based on K-means clustering algorithm and dynamic image sequence, which can effectively extract heart rate information under the condition of strong noise. Finally, we used Bland-Altman analysis method to evaluate the accuracy of the algorithm, and the experimental result shows that it’s in good agreement with the professional measuring instrument.
Analysis of mRNA biomarker predicting progression of acute lymphoblastic leukaemia by big data mining
Authors: Deng Jianzhi , Cheng Xiaohui , Zhou Yuehan 
Published: November 2019

Abstract
Acute lymphoblastic leukaemia (ALL) is a hematologic malignancy. In this study, we focus on the research of the progressed biomarker of the ALL disease based on the ALL phase II to phase III mRNA expression data from Therapeutically Applicable Research to Generate Effective Treatment (TARGET). 204 differentially expressed mRNAs (DEmRNAs) were screened from the mRNA matrix (P-value < 0.01 and |LogFoldChange| > 4). And the DEmRNAs were enriched in 16 MF, 15 CC and 49 BP groups of the gene ontology (GO) terms (Count > 2 and P-value < 0.1) and 3 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways (P-value < 0.05, q-value < 0.05) by the GO and KEGG pathway analysis. The survival analysis done by Kaplan-meier method was shown that the DEmRNAs and their enriched GOterms were closely related with the high risk of ALL progression. And the DemRNAs would be the progressed biomarker of ALL when they were proved by the receiver operating characteristic (ROC) analysis.
An improved clinical data similarity algorithm based on ICD10
Authors: Yu Wenjun , Wang Kai , Hu Bin , Huang Yu 
Published: November 2019

Abstract
Disease prediction helps prevent disease and early diagnosis, and accurate classification of patients greatly improves the accuracy of disease prediction. Today’s massive multi-dimensional medical data and its similarity algorithms provide the basis for the classification of clinical diseases. Based on this, we randomly generated the simulated clinical data of ICD10 structure, used the improved similarity algorithm to calculate the similarity and classification of the two patients, and found the patients belonging to different disease categories in the classified patient group. This finding provides a scientific basis for the correction of genetic algorithms and genetic research.
Classification and phylogenetic relationship of 10 fig varieties by RAPD and SSR molecular markers
Authors: Zhang Xiaoai , Hu Yue , Liu Liping , Wang Xingteng , Wang Weixin , Liu Yuerong , Deng Qunxian , Zhang Huifen , Wang Xun , Xia Hui , Liang Dong 
Published: November 2019

Abstract
In this experiment, 24 fig varieties were analyzed by RAPD and SSR. Results showed that 80 loci were amplified by 9 RAPD primers, including 70 polymorphic loci. The polymorphic percentage was 87.50%. A total of 34 allelic variations were detected in 10 pairs of SSR primers, 29 of which were polymorphic bands, and the percentage of polymorphic sites was 85.29%. Correlation analysis of the two markers of genetic identity showed significant correlation, indicating that the two markers were highly consistent in the analysis of fig genetic diversity. Cluster analysis revealed that the RAPD markers showed that the 24 fig varieties had a genetic similarity coefficient of 0.7 and could be divided into four groups. SSR markers showed that the 24 fig varieties can be divided into four groups at the genetic similarity coefficient of 0.66. The results show that the two molecular markers are suitable for the genetic diversity analysis of fig, and they are more reliable when combined than when used alone.
Research progress and design strategy of hole transport materials for perovskite solar cells
Authors: Kaixiang Shen 
Published: November 2019

Abstract
In this paper, the hole transport layer in perovskite solar cells is divided into inorganic materials, organic small molecular materials and polymer materials, and their development in recent years is reviewed. After focusing on the factors affecting the transport ability of the hole transport layer, it was found that the thiophene structure and the triphenylamine group can significantly improve the hole transporting ability of the hole transporting material, thereby designing two novel hole transporting materials TTT and TST. According to the simulation calculation of density functional theory, the energy level prediction of TTT and TST shows that the HOMO energy level can reach -5.27eV and -5.33eV respectively, which can achieve better energy level matching.
Cyclic pumping technique to increase CO2 sequestration in fractured geothermal reservoirs
Authors: Bongole Kelvin , Sun Zhixue , Yao Jun , Mboje James , Jiang Chuanyin , Wang Tong 
Published: November 2019

Abstract
Carbon dioxide (CO2) sequestration in deep geothermal reservoirs is one of the promising technique to reduce global temperature by decreasing the atmospheric CO2 content. In this study, a cyclic pumping technique is proposed and applied in an enhanced geothermal system (EGS) for CO2 sequestration together with heat mining process. Cyclic pumping at higher frequency (small interval of days) can significantly increase the accumulated amount of CO2 sequestrated. Reducing the pumping frequency results to lower amounts of CO2 sequestrated, less than using a fixed pumping pressure. The pumping frequency refers to the number of days between maximum to minimum pressure interchange. Furthermore, compared to a fixed low pumping pressure, a cyclic pumping technique improves geothermal heat extraction ratio, thus higher performance of the EGS.
Optimization and Analysis of Grinding Head Components Based on MGK-4080 CNC Grinding Machine
Authors: Yan Liu , Gui-sheng Zhou , Guang-hua Lu , Yao-qi Shen , Di-pei Yang 
Published: November 2019

Abstract
The research of CNC grinding machine system has become an important frontier topic in the field of machinery industry. In this paper, the design and optimization analysis of the grinding head components of MGK-4080 CNC grinding machine are carried out. Therefore, the research of this subject has high scientific research value and economic value, which is of great significance to the development of the subsequent grinding machine parts system of CNC grinding machine.
Collapse Failure of Submarine Pipelines with Corrosion Defect
Authors: Chen Yanfei , Gao Modi , Ao Chuan , Liu Hao , Ma Shang , Liu Hanyu 
Published: November 2019

Abstract
Corrosion is a common type of defects which results serious impact on the safe operation of submarine pipelines. Considering the influence of corrosion defects, the collapse failure mode and collapse pressure of submarine pipelines are investigated. It is concluded that corrosion has a significant effect on the collapse failure of submarine pipelines. Under various corrosion depth and width, different collapse modes are obtained. In terms of collapse pressure, the influence of corrosion depth is more pronounced than corrosion width. The deeper the corrosion defect is, the less impact the corrosion width could cause.
Rapid Separation and Determination of 12 Kinds Phenolic Acids and Isoflavone in Iris Pseudoacorus Based on Ultra-performance Convergence Chromatography
Authors: Qing-Qing Zhu , Nian-Lai Chen , Run CHU , Qiang-Qiang Miao 
Published: November 2019

Abstract
A method was developed for the rapid separation and determination of 12 kinds phenolic acids and isoflavones in Iris pseudoacorus based on Ultra performance convergene chromatography. The compounds were separated on a Waters Acquity UPC2 HSS(100mm×3. 0mm,1. 7μm) column at 30 °C by using CO2 and acetonitrile as the mobile phase at a flow rate of 0. 4mL/min, and then analyzed by a UV detector at wavelength of 270nm, the whole analysis progress was only 36 min. The results showed that the limits of detection (LOD) and the limits of quantitation (LOQ) of 12 compounds were between 0. 051 and 0. 18 μg/mL, and 0. 19 and 0. 63μg/mL, respectively. The spiked recoveries were between 95. 81% and 98. 73%, and the relative standard deviations (RSD) were between 3. 20 and 4. 77(n=6). This method is simple,fast,accurate and reproducible, and the result is reliable. The method is applicable for the determination of 12 phenolic acids and isoflavones in Iris pseudozcorus.
The review of transcriptome sequencing: principles, history and advances
Authors: Zhang Haotian 
Published: November 2019

Abstract
A transcriptome is a collection of RNA transcribed from a particular issue or cell at a certain developmental stage or functional state. Studies of transcriptomes could reveal gene function and gene structure, and promote our understandings on specific biological processes and molecular mechanisms. Transcriptome sequencing, or RNA-seq technologies, allow efficient transcriptome measurement and empower transcriptome research, by subjecting RNA-derived to high-throughput sequencing analysis. In recent years, a variety of improvements on RNA-seq methods have emerged, spanning from the acquisition of target RNA, the fragmentation of RNA, the synthesis of cDNA, and the sequencing methods, to meet the needs of different occasions and conditions. In addition, single cell RNA-seq method has been developed to better characterize the transcriptomes of various cell types in biological tissues and reveal the heterogeneity of gene expression between cells. This article focuses on the principle, development, and application of RNA-seq technologies, and elaborates on various up-to-date RNA-seq improving methods.
Evolutionary Game of the Influence of Knowledge Hidden on the Formation Process of Interactive Memory System
Authors: Lei Hongzhen , Liu Chao , Sun Junna 
Published: November 2019

Abstract
Based on the formation stage of organizational interaction memory system, an evolutionary game model of interactive memory system considering two-party group strategy is constructed. The results show that: group initial strategy ratio, the cost of changing knowledge attitude, knowledge hiding excess utility and the risk coefficient that resists the change of knowledge attitude has a significant impact on the evolutionary strategies of both players. To develop a suitable interactive memory system, we must focus on the above factors.
Signalling Game of Online Store Quality Based on Service Recovery
Authors: Hong-zhen Lei , Hong-hong Zhang , Di LU 
Published: November 2019

Abstract
Changing attitudes of consumers shopping, online shopping has gradually become the mainstream. However, because of the characteristics of online shopping, there is information asymmetry in the process of trading, which makes it hard for customers to identify quality of online stores, causing a series of service failure. To solve this problem, this study regards the online store and customers as the game sides, and the level of service recovery as a signal, and establishes a signalling game model, under the three different relations of the two types of online store service failure probabilities, three Bayesian Equilibria of signal game is analyzed, and the only existence condition of the separating equilibrium is given respectively in three situation, and the countermeasures of online stores and customers in the case of information asymmetry are obtained.
Transmission line image defect diagnosis based on YOLOv3 and SNIPER cascade lifting algorithm
Authors: Liu Guangxiu , Li Zhenyu , Sun Xiaobin , Tian Yuan , Li Min 
Published: November 2019

Abstract
Deep learning classifies information and combines the underlying features to form more abstract high-level features. Its ability of autonomous learning also provides favorable conditions for industrial application. Aiming at the problem of insufficient performance of current small target detection, this paper proposes a deep learning algorithm using One-stage fusion two-stage. The influence of background noise on network training is reduced. The algorithm combines multi-scale training methods and achieves sample equilibrium adjustment based on sample distribution and stratified sampling. The high efficiency of YOLOv3 method for large target detection is well used, and the multi-scale training advantages of SNIPER algorithm are also played out, which makes the intelligent detection effect of pin defect of transmission line get some performance improvement.
Research on the Control Principle of “Four Wheels and Hexapod” Robot System
Authors: Xu Fenghui , Jia Yongxing , Guan Xueshuai , Sun Tiquan , Gong Jing , Wang Shuo 
Published: November 2019

Abstract
A set of “four-wheeled and hexapod” deformable robotic system, which can be remotely controlled and highly integrated, has been designed and implemented. It consists of a four-wheeled robot body, a hexapod robot body, a control system and a control terminal of computer. The sensor module and camera mounted on the robot can collect environmental information and transmit it to the control terminal by wireless communication. The “four-wheeled hexapod” robot is controlled remotely to complete the deformation, search and rescue and other related operations by the control terminal. With the great characteristics of low power consumption, low cost, high scalability and high portability, the implementation can also have a significant effort on tasks such as detection, search and rescue, and transportation of materials in a complex rescue environment.
Consumer Experience in Tourist Campsites of China---Based on ASEB Grid Analysis
Authors: Liu Hu , Xie Jitao , Wei Jinchan 
Published: November 2019

Abstract
From the perspective of ASEB grid analysis, this paper explored the tourist experience of the camp consumers with the tourist camps as the carrier. ASEB analysis method was used to design the questionnaire from four aspects of activity, environment, experience and income. Online network survey and off-line field survey were combined to conduct questionnaire issuance and data analysis in order to construct the development strategy matrix of tourism camps. Results show that there are more male than female consumers in the camps. Word-of-mouth recommendation has become the main channel for tourists to obtain information. Most of the consumers in the camps are in the initial stage of consumption for the first time, and these consumption have multiple motivations. The choice of travel modes and places is mainly manifested in inter-provincial self-driving travel with family and friends. Combining with the unique characteristics and development status of tourist camps, this paper puts forward development strategies and suggestions for the development of tourist camps, and strives to achieve sustainable development of tourist camps.
Risks Analyses and Control Measures of Deep Peak Shaving for the 1000MW Ultra-Supercritical Unit
Authors: Zhang Leying , Shen Zhiyong , Mao Yinghua 
Published: November 2019

Abstract
Influenced by economy, policy and other aspects, it is often necessary to carry out deep peak shaving at low load for large-capacity thermal power units in order to flexibly adapt to the power supply demand of power grid. Safety risks increases obviously in deep peak shaving operation, but it can be lowered to a minimum through reasonable operation adjustment to ensure the safe operation of units. Based on the operation experience, the potential safety risks of deep peak shaving for the 1000MW ultra-supercritical unit are analyzed, and the corresponding control measures are worked out.
Power Dispatching Network Attack Identification by XGBoost
Authors: Wang Yan , Sun Mingyu , Ning HU , Sentao LIU , Juncheng SI 
Published: November 2019

Abstract
Power dispatching network is a core of cardinal significance, which always suffers from the network attacks from both inside and outside of the local-area network. The network attack detection process must perform tremendously good, or will disturb the normal business traffic. This paper proposed an automatous method to inspect the net traffic and identify the abnormal traffic only by analyzing several signals rather than probing the network traffic packet.