bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detecting Financial Statement Fraud Using Random Forest with SMOTE
Authors: Ye Huanzhuo , Xiang Lin , Gan Yanping 
Published: October 2019

Abstract
The study explores the comparison of various classification models in detecting fraudulent financial statements (FFS). Due to the high-class imbalance in this unique domain, the samples chosen in existing researches tend to be processed not so realistically. Therefore Random Forest is adopted to learn imbalanced data, in addition, sampling with SMOTE. Some more effective measure metrics of performance are also added. The experimental dataset includes 11726 publicly available Chinese financial disclosures from 2007 to 2017, of which 1314 financial statements were accused of fraud by CSRC. The result shows that the Random Forest outperforms other algorithms: Artificial Neural Network (ANN), Logistics Regression (LR), Support Vector Machines (SVM), CART, Decision Trees, Bayesian Networks, Bagging, Stacking and Adaboost.
Study on the Applicability of Passive Millimeter Wave Imaging Technology in Real Fire
Authors: Li Chiyuan , Chang Lizhou 
Published: October 2019

Abstract
In the scene of the fire, fire fighting and rescue troubled firefighters quickly the main impediment to rescue trapped personnel is high fever of smoke and fire, existing hand-held infrared imaging devices are usually used to monitor the combustion temperature, to search for hidden fire action such as content, cannot penetrate smoke fire, fire inside the high temperature environment will also be harmful to its imaging effect. This paper design a paragraph 1 to fire for fire fighting and rescue typical application background of passive millimeter wave imaging, analysis of fire under the condition of the realization of the millimeter wave imaging technology means and interference factors, verification of millimeter wave smoke fire environment through typical performance, break through the limitations of the existing fire imaging technology, make up for the inadequacy of infrared imaging devices, can effectively improve the efficiency of reconnaissance, shorten the rescue time and improve the security of firefighters and trapped personnel.
Establishment of Open Service Platform Information System under the Background of Big Data
Authors: Zhang Qian , Li Pan , Lu Hong , Xia Jinsong 
Published: October 2019

Abstract
Based on the practical experience of establishing laboratory management information system, this paper discusses the reform of management information system under the background of big data. By analysing the requirements of laboratory management system, the model of information system is designed, and eight modules are realized, including open experiment, portal site, material management module, system maintenance, laboratory management, personnel management, equipment management and safety examination. Reservation management information system is built with Django framework of Python language and managed with MySQL database. The system realizes the digital management of the experimental reservation information, and improves the management level and work efficiency of the open service platform. The data generated by the information system is data mining by using WEKA software, data visualization is formed, and abnormal data are found and processed in time.
The Quantitative Machinery Decision-Making Strategy Model Based on Neural Network
Authors: Hao Yifei , Zhang Qian , Wang Bo , Xu Shenglin 
Published: October 2019

Abstract
High-frequency data and quantitative models are the hot issues in the machinery field. In order to build a quantitative strategy with steady returns and relatively low risks based on high frequency data, this paper establishes a quantitative machinery selection strategy based on difference flow and a time-selection strategy based on neural network. Through our research on China’s machinery market, we find that when using fund flow intensity as an indicator, the market yield of the portfolio with large capital flow is relatively high. After selecting some companies with potential upside, we used a neural network algorithm to predict the value between both sides. Using these technical indicators and historical information, we use neural networks to predict the next day’s closing value. Finally, we simulated the decision with Matlab, and analyzed the profitability and risk factors of our strategy in different periods of the machinery market, and drew the final conclusion.
Dynamic Sliding Mode Control of Gyroscopic Balancing Vehicles Based on Disturbance Observer
Authors: Shan JunLin , Wang LiXin , Yang YanLi 
Published: October 2019

Abstract
Gyroscopic balancing vehicle is a new means of transportation with flexible structure and environmental friendliness, which has broad application prospects. However, it is also a typical system of nonlinear characteristics, static instability and parameter uncertainty, making its balance control problem difficult to dealing with. Based on the Lagrange equation of the dynamics model for single-frame CMG, a dynamic sliding mode controller with disturbance observer is designed to solve the severe chattering in conventional sliding mode method by compensating the parameter variation and external disturbance. The simulation results show that the introduced method effectively suppresses the chattering phenomenon, and the dynamic performance of the system is improved at the same time, which further enhances the robustness and application range of the gyroscopic balancing vehicle.
Effects of Negative Stimulation After Exercise on Frontal Asymmetry in Unregular Exercisers
Authors: Wang Tengfei , Liu Guangyuan 
Published: October 2019

Abstract
As a signal to recognize emotion, the electroencephalogram (EEG) is used widely. Frontal asymmetry is not only related to emotion, but also affected by exercise. The purpose of our research is to explore the effects of exercise for negative emotion, and how the activity of the frontal of the college students who did not exercise regularly is. We used the frontal asymmetry between F3 and F4 channels of the alpha band. The result showed that the power of frontal asymmetry increased after exercise compared to that before exercise within 3 seconds after stimulation, and the change of the power during the 2nd second was more obvious. The activity of the frontal of the students without exercise habits can be altered by exercise. The frontal asymmetry is related to emotion, which confirms that exercise has an effect on the students without exercise habits after negative stimulation.
Research on Prevention Strategy of Flight Accident in Aviation Sports Based on Regression Analysis
Authors: Zheng Jiaxi 
Published: October 2019

Abstract
Flight safety is related to the development of aviation sports. The paper gives an overview of the regression analysis method. It systematically analyzes the main types of flight accidents in aviation sports, and obtains the types of factors that cause aviation sports flight accidents. The analysis method analyzes the factor data and proposes a prevention strategy for aviation sports flight accidents based on the analysis results.
Automation Design of Water Supply System for Residential Area
Authors: Yuan Yudong , Duan Zhongrui 
Published: October 2019

Abstract
Variable-frequency constant-pressure water supply system is gradually developed based on variable frequency speed regulation technology. In this paper, it is carried out of stepless speed regulation, constant pressure control and the soft starting of the water supply system by the combination of frequency converter and PLC. This control system is recommendable for its high stability, reliability and automation.
Design and Implementation of Embedded Web Server Based on ARM
Authors: Dong Yilan 
Published: October 2019

Abstract
This article selects the STM32F103C8T6 microcontroller based on ARM Cortex-M3 core and ENC28J60 with Ethernet module as the main hardware structure, and then accesses some peripheral hardware devices on STM32 microcontroller. Then introduce embedded technology and network interconnection technology, transplant UIP protocol stack to STM32 MCU, and transmit related information and data based on HTTP protocol to realize embedded Web server.
Switch On-off Automatic Detection Technology Based on Basic Model of Waveform Singularity Detection
Authors: Su Jinzhou 
Published: October 2019

Abstract
During the test of low-voltage switches, numerous waveforms are required to be collected and electrical parameters calculated. Traditional detection methods are inefficient and may result in operational errors. Since the sequencing of the test waveform array is converted to corresponding time points by the sampling frequency conversion, to realize automatic positioning of the cursor in waveform and automatic measurement of the electrical parameters, the key lies in the accurate detection of the singular position in the waveform array. This paper builds the basic model of waveform singularity detection based on the singular value decomposition (SVD) algorithm, integrates automatic detection into the electrical parameter test module, realizing the automatic detection of waveforms and parameters during the low-voltage appliance test. Meanwhile, starting from the automatic detection of the conduction time of the same test current when the alternating current contactor is switched on and off, the anti-interference ability of the model under different types of noise and different noise intensities are tested and analyzed. For all types of noise, reliable, uncertain, and unreliable detection zones exist in the automated detection results. When k (effective value of the noise / effective value of original waveform) is less than 10%, all types of noise can be detected in a reliable manner, which effectively J. van der Geer, J.A.J. Hanraads, R.A. Lupton, The art of writing a scientific article, J. Sci. Commun. 163 (2000) 51-59.
A high precision vehicle positioning method based on traffic light
Authors: Cao Yan , Li Guangan 
Published: October 2019

Abstract
According to the low positioning precision and high cost of traditional vehicle positioning technologies, and combined advantages of the newly arisen visible light communication like no extra transmitter needed, no electromagnetic interference and free license, this paper proposed a vehicle positioning method based on traffic light, which could generate the vehicle’s position with the time difference of arrival of the signal light. Also its improved methods based on plan revolution theory were discussed to overcome the deficient in non-coplanar condition and improve the positioning precision. Simulation results showed that these methods, with simple computation and low implementation cost, could realize a real-time high-precision positioning performance, and could meet the requirements of the intelligence transportation system.
Airport Bird Strike Risk Assessment and Research
Authors: Qiao Liang , Zhang Liang 
Published: October 2019

Abstract
Bird strikes occur frequently at airports throughout the country, which poses a serious threat to flight safety. Birds have different risks to aircraft because of their different characteristics and habits. Principal component analysis was carried out based on bird survey data of Zhuhai Airport to optimize the bird strike risk evaluation index system. FCM algorithm combined with Xie-Beni effectiveness index is introduced to construct the evaluation model. The analysis results show that the 29 common bird species of Xinzheng Airport in accordance with different level of risk can be divided into 4 categories, the analysis results provide a basis for the airport bird strike prevention work, and this is a simple and effective bird strike risk assessment method.
Research on Response Elastic Simulation and Optimization of Natural Disaster Emergency Supply Chain
Authors: Liu Dongmei , Wang Chunxi , Liu Xinmeng 
Published: October 2019

Abstract
China has a vast territory and a large population density. The frequent occurrence of natural disasters has caused enormous losses to the lives and property of our people. With the expansion of the connotation of rescue organizations, a cooperative relationship between rescue organizations and rescue organizations and commercial organizations to improve rescue efficiency and minimize losses caused by natural disasters has become a research in emergency supply chain research. New perspective. Through the construction of the natural disaster emergency supply chain elastic simulation model, the paper optimizes and analyzes the two strategies of fortification inventory and emergency procurement to obtain the optimal solution and proposes the elastic optimization strategy. With the dynamics of simulation, the simulation model of natural disaster emergency supply chain is established, and the elasticity is optimized as the optimization goal.
Comparison and Analysis of Air Quality Visualization between Beijing and Nanjing Based on R
Authors: Zhang Yan , Zhu Peng 
Published: October 2019

Abstract
With the continuous promotion of urban industrialization, urban air pollution problem is more and more serious. Therefore, carrying out real-time environmental testing and analysing the meteorological data have become particularly important for grasping the changes in the urban environment and solving the air pollution problem. This article uses R language to analyse the air quality data of Beijing and Nanjing in 2017 respectively. Compare and explore the reasons for the change in air quality and the differences in air quality between the two cities. The text is divided into four parts: Introduction - Research Status – The Data Acquisition and Analysis - Cause Analysis - Research Conclusions.
The Research on the Optimization Design of Guide System of Scenic Spot Based on Environmental Protection
Authors: Liu Zhenhu 
Published: October 2019

Abstract
The design of the guide system is an integral part of the construction of the scenic spot, which plays a vital role in the overall visual image of the scenic spot and the visitor experience. The research on the optimization design of the guide system of scenic spot revolves around “environmental protection,” “sustainable development,” “people-oriented” and “close to nature.” It integrates the vibrant and colorful geographical features of the scenic spot to create an environmentally and friendly guidance system. It can meet the standards of exquisite design, distinctive features, artistic sense, and integration with the environment.
Research on the Synergetic Development Strategy of Regional Logistics Economic Environment in Jilin Province
Authors: Liu Ziyu , Xiao Jing , Yang Yang 
Published: October 2019

Abstract
Under the policy of the Belt and Road Initiative, the logistics industry as a new service industry is booming, occupying a huge role and status in the economy and society, and the impact on the ecological environment is gradually emerging. Through qualitative analysis of the interaction of logistics, economy and ecological environment in Jilin Province, this paper summarizes the problems existing in the current logistics economy of Jilin Province, and adopts the grey correlation method to conduct an in-depth analysis of the relationship between logistics, economy and ecology in Jilin Province. And according to the relevance value, the influencing factors are ranked, which provides a basis for studying the synergy between regional logistics and economic development and environmental impact in Jilin Province. Finally, based on the research results, it provides guiding opinions for promoting the coordinated development of regional logistics, economy and ecological environment in Jilin Province.
Research and Application of Agricultural Green Logistics Development Evaluation Based on Comprehensive Evaluation Method
Authors: Liu Xiaoyan , Feng Miao , Fu Chaosong 
Published: October 2019

Abstract
With the increasing awareness of human protection of the environment and green consumption, the green logistics of agricultural products has developed rapidly. The green development of green logistics of agricultural products is of great significance in reducing environmental pollution and improving the living standards of residents. By analyzing the importance of green development of green logistics of agricultural products, based on research and actual research, selecting suitable factors for the green development of agricultural product logistics, and constructing comprehensive evaluation to evaluate the development status of green logistics of agricultural products, the development degree of green logistics of agricultural products in the stage The comprehensive evaluation method has reference value and practical significance.
Networks and Opportunities: A Digital History of Ireland’s Great Famine Refugees in New York
Authors: Anbinder Tyler , Gráda Cormac Ó , Wegge Simone A. 
Published: October 2019

Abstract
For decades, historians portrayed the immigrants who arrived in the United States in the mid-nineteenth century fleeing the great Irish Famine as a permanent proletariat, doomed to live out their lives in America in poverty due to illiteracy, nativism, and a lack of vocational skills. Recent research, however, primarily by economic historians, has demonstrated that large numbers of Famine refugees actually fared rather well in the United States, saving surprising sums in bank accounts and making strides up the American socioeconomic ladder. These scholars, however, have never attempted to explain why some Famine immigrants thrived in the U.S. while others struggled merely to scrape by. Utilizing the unusually detailed records of New York’s Emigrant Savings Bank in conjunction with the methods of the digital humanities, this article seeks to understand what characteristics separated those Irish Famine immigrants who fared well financially from those who did not. Analysis of a database of more than 15,000 depositors suggests that networking was the key to economic advancement for the Famine immigrants. Those who lived in residential enclaves with other immigrants born in the same Irish parish saved significantly more than other immigrants, and those who created employment niches based on an Irish birthplace also amassed more wealth than those who did not. The electronic version of the article provides easy access to the database and interactive maps, allowing readers to ask their own questions of the data. The article also fleshes out the life stories of many of the immigrants found in the database, using documents found on genealogy websites such as Ancestry.com. These handwritten census records, ship manifests, and bank ledgers are hyperlinked to the electronic version of the article. That makes this essay ideal for classroom use—students can move effortlessly to the documents that underpin each paragraph and see clearly how historians use archival evidence to formulate arguments and shape historical narratives.
Review of purchases of unapproved medications by the Veterans Health Administration
Authors: Carico Ron L , Emmendorfer Thomas R , Aspinall Sherrie L , Mizah Margaret T , Good Chester B 
Published: October 2019

Abstract

Purpose
Many medications that were marketed prior to 1962 but lack Food and Drug Administration (FDA) approval are prescribed in the United States. Usage patterns of these “unapproved medications” are poorly elucidated, which is concerning due to potential lack of data on safety and efficacy. The purpose of this project was to characterize purchases of unapproved medications within the Veterans Health Administration (VHA) by type, frequency, and cost.

Methods
VHA purchasing databases were used to create a list of all products with National Drug Codes (NDCs) purchased nationwide in fiscal year 2016 (FY16). This list was compared to FDA databases to identify unapproved prescription medications. For each identified combination of active pharmaceutical ingredient (API) and route of administration (“API/route combination”), numbers of packages purchased and associated costs were added.

Results
VHA pharmacy purchasing records contained 3,299 unapproved products with NDCs in FY16. After excluding equipment, nutrition products, compounding ingredients, nonmedication products, and duplicate NDCs, there were 600 unique NDCs associated with 130 distinct API/route combinations. The most commonly acquired product was prescription sodium fluoride dental paste (350,775 packages). The greatest pharmaceutical expenditure was for sodium hyaluronate injection ($24.5 million). Unapproved products accounted for less than 1% of overall VHA pharmacy purchasing in FY16.

Conclusion
VHA purchased many unapproved prescription products in FY16 but is taking action to address use of such products in consideration of safety and efficacy data and available alternatives.
Infective endocarditis caused by Streptococcus acidominimus
Authors: Kabbara Wissam K , Azar-Atallah Shirine 
Published: October 2019

Abstract

Purpose
A case of infective endocarditis caused by Streptococcus acidominimus is reported.

Summary
An 81-year-old Caucasian man underwent an elective transcatheter aortic valve implantation due to his severe aortic valve stenosis. He presented to the hospital 3 weeks later with a 1-week history of fever (39ºC) that did not resolve following a 3-day course of azithromycin and a 5-day course of ciprofloxacin. Three sets of blood sample cultures were taken. Empirical antimicrobial treatment was initiated to target gram-positive and gram-negative microorganisms and consisted of vancomycin 1 g intravenous (i.v.) every 12 hours and imipenem–cilastatin 500 mg i.v. every 6 hours. After 48 hours, the blood culture was positive for S. acidominimus. The strain was sensitive to ampicillin, cephalosporins, tetracycline, and vancomycin. It was resistant to penicillin, macrolides, trimethoprim–sulfamethoxazole, and fosfomycin. Transesophageal echocardiography showed a small mobile vegetation attached to the anterior mitral valve leaflet, along with mild mitral regurgitation. The patient was diagnosed with native mitral valve infective endocarditis, and imipenem–cilastatin was discontinued. The patient showed clinical and laboratory improvement during his 2-week hospitalization. A peripherally inserted central catheter was put in place, and the patient was discharged on i.v. vancomycin to complete a total of 6 weeks treatment, after which the infection resolved.

Conclusion
An 81-year-old man diagnosed with mitral valve endocarditis caused by S. acidominimus was successfully treated with vancomycin.
Immigration Influx as a Trigger for Right-Wing Crime: A Temporal Analysis of Hate Crimes in Germany in the Light of the ‘Refugee Crisis’
Authors: Piatkowska Sylwia J , Hövermann Andreas , Yang Tse-Chuan 
Published: October 2019

Abstract
This study examines the conditions under which increased immigration rates serve as a catalyst for right-wing politically motivated crime across 16 German regions. The main objective is to focus on regional immigration rates as a potential trigger for threat perceptions by not only testing their principal effects but also by considering their interactions with structural environments. The analyses are grounded in a quasi-experimental setting because Germany recently witnessed an increase in immigration, publicly referred to as the ‘refugee crisis’. The results reveal differences in the comparable models, insofar as high regional immigration rates are particularly associated with hate crimes during times of high immigration influx, illustrating how a signal event such as the ‘refugee crisis’ might trigger amplified threat perceptions.