bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis on reversible/irreversible electroporation region in lung adenocarcinoma cell model in vitro with electric pulses delivered by needle electrodes
Authors: Lv Yanpeng , Tang Xiao , Peng Wencheng , Cheng Xian , Chen Shuo , Yao Chenguo 
Published: October 2020

Abstract
Irreversible electroporation (IRE) is a minimally invasive tumor therapy using pulsed electric field with high intensity while the important tissues such as blood vessel, bile duct, and nerve are preserved. In addition to ablation area, reversible electroporation (RE) region is also generated using needle electrodes for pulse delivery. The goal of this work is to study the generation of RE region and ablation region on a 2D lung adenocarcinoma cell model in vitro. The tumor model is exposed to electric pulses with various number. The calcium AM and propidium iodide (PI) are examined to detect the ablation area and electroporation area, respectively. The results show that electroporation area firstly tends to plateau after approximately 50 pulses, while the ablation area continues to increase. The percentage of IRE area in total electroporation area increases with additional pulses, which means that RE region could be gradually turned into ablation area with increased pulse number. However, the percentage of IRE area only achieves to 54% for 200 pulses, which indicates that RE region still cannot be completely removed. RE and IRE thresholds appear to converge as the number of pulses increases. An equation between pulse number and the electric field threshold of ablation including the electric field threshold of RE is also provided for lung adenocarcinoma cell ablation. This work may have the value for the optimization of IRE protocols on tumor ablation.
Operating a graphite calorimeter in quasi-isothermal mode under high-energy x-ray beams
Authors: Kim In Jung , Kim Yun Ho , Park Jong In , Kim Byoung-Chul , Yi Chul-Young 
Published: October 2020

Abstract
In this study, we developed a semi-active method to run a graphite calorimeter in the quasi-isothermal mode under high-energy x-ray beams. The rate of energy imparted by the beam during irradiation was compensated mainly by removing the electrical heating power based on the pre-calculation and in part by an active automated algorithm, as well, while the temperature of the calorimeter core was kept constant. Irradiations were performed under the linear electron accelerator x-ray beams at 6, 8, 10, 15, and 18 MV. A simple model was applied to analyze the results. The energy imparted to the core was determined with an uncertainty level of 0.2%–0.3%, and the results were reaffirmed by comparing it with that obtained by the quasi-adiabatic mode. The normalized root-mean-square deviation to the mean from the quasi-adiabatic mode was 0.11%, and the associated uncertainty was 0.16% taking into account the correlation of the uncertainty components. This level of agreement showed that the present method is practical for the high-energy x-ray dosimetry.
Hawking-Page phase transitions of charged AdS black holes surrounded by quintessence *
Authors: Yan Da-Wei , Huang Ze-Rong , Li Nan 
Published: October 2020

Abstract
Hawking-Page phase transitions between the thermal anti-de Sitter vacuum and charged black holes surrounded by quintessence are studied in the extended phase space. The quintessence field, with the state parameter

, modifies the temperature and the Gibbs free energy of a black hole. The phase transition temperature

and the Gibbs free energy

are first analytically investigated for the special case of

, and then, the results of numerical simulations are shown for general

. The phase transition temperature

increases with pressure and decreases with electric potential. In addition,

significantly decreases owing to the quintessence field, which generates negative pressure around the black hole.
Research on Teaching Reform of PUTONGHUA SHUIPING CESHI in Colleges Based on Computer Assist
Authors: Congying Sha 
Published: October 2020

Abstract
Computer testing is the mainstay of the current Putonghua proficiency test in colleges and universities. Using computer technology can not only improve the fairness of the Putonghua proficiency test, but also actively promote the reform of Putonghua teaching in colleges and universities. In the current teaching process of Putonghua in colleges and universities, we need to study and analyze the existing problems, at the same time study the impact of the computer-aided evaluation model on Putonghua teaching, and put forward strategies for the reform of Putonghua teaching in colleges and universities under the computer test mode. This can not only improve the efficiency of Mandarin teaching in colleges and universities, but also ensure the quality of teaching, and ultimately improve the Mandarin level of college students.
Application of Computer Aided Design Teaching in Ceramic Product Design Education
Authors: Xie Xuan 
Published: October 2020

Abstract
This paper first analyzes the definition and characteristics of computer aided design teaching, then deeply analyzes the application of computer aided design teaching in ceramic product design education, including the application of modeling method, the emphasis of computer aided instruction and the switching between three-dimensional space and real space, and finally expounds how to improve students’ computer aided design ability in ceramic product design education. Based on the development status of ceramic product design in China, this paper constantly improves the application of computer aided design teaching in ceramic product design education.
Food Safety Traceability Method Based on Blockchain Technology
Authors: Wang Yajie , Chen Kai , Hao Miao , Yang Bing 
Published: October 2020

Abstract
Food safety is a major issue related to the vital interests of the people. In recent years, food safety incidents have emerged in an endless stream in China. However, the existing food safety traceability methods lack of data sharing, which makes it difficult to conduct unified supervision on food safety. In view of the problems existing in the current food safety traceability method, this paper introduces blockchain technology in food safety traceability field, selects milk as the object of food safety traceability in this paper, analyzes the whole process of milk supply chain, designs the overall framework of milk traceability scheme according to the demand analysis and design principles of milk safety traceability scheme, and designs the scheme’s business function module, and chooses ECP-96 traceability coding scheme to ensure the uniqueness as well as security of milk traceability source. In view of the current application of blockchain technology, Hyperledger Fabric is creatively selected as the blockchain technology platform, and Go language is used to develop and implement the traceability method. Through the deployment of multiple nodes and functional testing, the expected food safety traceability goal is achieved.
Multi-particle crushing behaviors and characteristics via numerical simulations
Authors: Liu Chang , Chen Zuobing , Zhang Weili , Mao Ya , Ye Weidong , Yang Chenggang , Xie Qiang 
Published: October 2020

Abstract
Crushing equipment is involved in cement, electric power, nonmetal and other industries. However, the multi-particle crushing behaviors and characteristics are essential to the crushing equipment performance. In this paper a numerical model for multi-particle crushing has been established in order to investigate the behaviors and characteristics of particle crushing. The evolution process of particle crushing, size effect, law of energy accumulation and dissipation were comprehensively discussed. The particle crushing behaviors are remarkable. when multiple particles were crushed, a large number of failure units and acoustic emission (AE) appeared at the top. The energy consumed by multi-particle crushing was low, and multi-particle crushing was more efficient. The particle size is of great importance to the crushing characteristics. The bigger a particle is, the easier the crushing happens. This study could give useful suggestions in the design of the crushing technology.
Analysis of Recommendation Systems Based on Neural Networks
Authors: Song Ningxin 
Published: October 2020

Abstract
As the amount of online information explodes, the recommendation system has evolved into an effective strategy to overcome the problem of information overload, which has become the focus of academic and industrial circles, and has led to other related research results. Through the recommendation methods, the author mines the items including information, service, and goods that the user is interested in, and recommends the results to the user in the form of a personalized list. In this paper, the author mainly examines and summarizes the progress of research on neural network based recommendation systems in recent years, as well as giving conclusions about the differences and benefits between that and traditional algorithms. In the end, the future trend of the recommendation systems based on neural networks is prospected.
The Intelligent Nursing House for the Elderly Based on the IoT System
Authors: Song Yaqi , Luo Yitong , Zhou Yuyang 
Published: October 2020

Abstract
As the problem of the aging population is gradually intensifying, the current nursing house for the elderly cannot meet their living needs. Based on this, this article builds an intelligent nursing house system based on IOT. This article first puts forward the problems existing in today’s elderly care system, and gives detailed solutions from three aspects: health, diet and maintenance. We combine the Indoor health care and auxiliary module and Dining module into the main system network, and list home appliance maintenance solutions, which organically integrate nursing house and the IOT and cater to the intelligent background of the IOT. Finally, we can achieve the goal of intelligent nursing house.
Research on the Financial Difficulty Level Recognition of Needy Students Based Upon the Decision Tree C5.0
Authors: Luo Xichun , Kong Linghui , Wang Jiongxian 
Published: October 2020

Abstract
Accurate recognition on the needy students is a core part of the college student subsidy and management work. Supported by the predictive capability of data mining model, this thesis studied the data sample of the recognition on needy students in a college. It selected 33 explanatory variables and one target variable through data pretreatment. Then by means of decision tree C5.0, the data sample was used to build the model. By calculation, the predictive accuracy of decision tree C5.0 was close to 90% on identifying the financial difficulty level of needy students. Therefore, it possessed excellent predictive effect. In addition, Kappa coefficient evaluation method was used to further prove that the model possessed favorable predictive effects. This study aimed to provide decision basis for subsidizing the needy students in colleges and universities, consequently improving the “targeted subsidy” work.
Research on Obstacle Avoidance of UAV for Optical Cable Route Inspection
Authors: Xue Yinghui , Huang He , Ren Shuai , He Zhuzhen , Ran Jinzhi 
Published: October 2020

Abstract
Firstly, UAV is proposed to be used in optical cable route inspection, which is the main promotion direction of optical cable route inspection in the future. Then, an improved ant colony algorithm is proposed to solve the path planning problem of UAV, and the feasibility is verified by simulation.
Personalized knowledge point recommendation system based on course knowledge graph
Authors: Lang Yakun , Wang Guozhong 
Published: October 2020

Abstract
Existing class education lacks analysis of students’ learning data, which can not reasonably evaluate students’ mastery of knowledge points and locate students’ learning path in real time, nor effectively recommend the required knowledge points for students. In order to solve the above problems, a personalized knowledge point recommendation system model (KG-PKP) combined with the knowledge graph of the course is proposed. By using accuracy, answer-time and answer-types in answer records, evaluation equations which to judge students’ mastery of knowledge points can be constructed. We can extract the knowledge points in answer records and map them into the course knowledge graph. Personalized knowledge points for students can be recommended by using the semantic hierarchical relationship and sequence of knowledge points in the knowledge graph. The comparative experiment proves the validity and interpretability of the model.
Virtual simulation of Lathe Machining Training Based on Unity3D
Authors: Shen Bin , Chen Baoqi , Wang Yanwu 
Published: October 2020

Abstract
In this paper, through the use of SolidWorks three-dimensional software for the lathe three-dimensional modeling, the lathe three-dimensional model can more intuitively express the structure of the lathe. Through the analysis of the reducer shaft, this paper developed the machining process, and then the solid modeling of the shaft, and finally through the Unity3D software for the reducer shaft machining simulation analysis.
Discussion on Propositional Logic Incorporating Set Thought into Discrete Mathematics
Authors: Yu’e Liu 
Published: October 2020

Abstract
Discrete mathematics is a basic core course for computer and big data majors. It includes four parts: mathematical logic, set theory, algebraic structure, graph theory. They are relatively independent branches respectively, of which propositional logic is the first part of discrete mathematics teaching materials in mathematical logic. This chapter is difficult for students in the second half of this chapter because the basic concepts are not easy to understand thoroughly. In order to solve this problem, this paper integrates the set theory into the understanding and mastery of the connectives, truth tables and important equivalent formulas in propositional logic, thus breaking through the learning difficulties in this chapter of propositional logic, enabling students to find a sense of achievement in learning from the first chapter of discrete mathematics and stimulating students’ interest in learning this course.
Discrete mathematics is a mathematical discipline that studies the structure of discrete quantities and their interrelationships. It is an important branch of modern mathematics, as well as a basic core course for computer major and big data major. Its theory is strong [2]. Learning this course can cultivate students’ logical reasoning ability, abstract thinking ability and meticulous generalization ability, and lay a foundation for other professional courses. Discrete mathematics includes four learning parts: mathematical logic, set theory, algebraic structure and graph theory. Among them, mathematical logic mainly studies the reasoning and formalization methods of discrete objects. Propositional logic is the first chapter in mathematical logic, and is also the first part of most discrete mathematics textbooks. This chapter is characterized by many concepts, abstraction, rigorous logic and many proof, which makes it difficult for students to learn [3]. Based on many years of teaching experience, this paper summarizes the root of the students’ key difficulties in learning this chapter, integrates the collective thought to teach students to compare and understand, and then solves all the learning difficulties in this chapter.
Existence and Multiplicity of Positive Solutions for a Class of m-Point Fractional Differential Equations with p-Laplacian Operators
Authors: Xu Baiyan , Yang Yang 
Published: October 2020

Abstract
In this paper, by constructing the properties of Green function and fixed point theorem on cone, we study the existence of solutions for a class of m-point fractional differential equation boundary value problems with p-Laplacian operator, and prove the existence and multiplicity of positive solutions for boundary value problems by constructing superlinear functions.
Tower foundation selection and economic comparison of 110kV transmission line in plain area of South Hebei Power Grid
Authors: Yaning Ren , Fan Gao , Deguang Zhang , Xiangliang Shen , Siyuan Yin 
Published: October 2020

Abstract
Based on the statistics of the typical geological conditions and the foundation forces of common tower modules in the plain area of Southern Hebei Power Grid, this paper analyzes the basic forces of tower modules, the common forms of foundation are introduced, in terms of technology, economy, etc, in order to provide reference for engineering design.
The performance of typical QKD scheme under the condition of quantum measurement noise
Authors: Zhaolei Zhang , Zhiqiang Ma , Lei Shi 
Published: October 2020

Abstract
The performance of typical quantum key distribution protocol under the condition of quantum measurement noise has been explored in this paper. Additionally, the realization steps for quantum key distribution are presented. Based on the successful probability, the performance of quantum key distribution is studied. The results show that the total probability is not influenced by the phase factors, and this probability is relative with the amplitude parameters. The results about quantum key distribution protocol with measurement noise would be useful in the field of quantum communication.
A review of hardware timing channel detection and mitigation
Authors: Chen Gang , Zhu Zhenyan , Mao Baolei , Chen Wenxuan , Jian Jie , Zhang Zijiao , Zhuang Yan 
Published: October 2020

Abstract
Hardware timing channels are likely to leak information and easily ignored, which has gradually become the target of attacker. However, there are few investigations systematically analyse hardware timing channel detection and mitigation. In this article, we perform in-depth analysis for the detection technologies such as taint analysis, fuzzing, symbolic analysis and information statistics. And we further analyse some mitigation techniques such as taint analysis and algorithm analysis. Moreover, we compare and analyse the methodologies and characteristics of detecting and mitigating timing channel attack in recent years, and proposes a feasible perspective.
Design and implementation of an offline face recognition locker
Authors: Lin Wei , Hu Shaoyang 
Published: October 2020

Abstract
In order to promote the development of smart city and provide more intelligent and safe services for people’s life, an offline intelligent locker system based on face recognition is designed. This paper describes the overall structure of the system, functional design of each module, control logic and hardware design. The system is divided into user end and administrator end. The main functions used are cabinet opening, face detection, eigenvalue extraction, living detection, face comparison, communication protocol and information table maintenance. The system uses the M1n module of Sipeed company as the core of the face eigenvalue extraction module, the application layer module with Raspberry Pi as the core, and the control module with STM32 Series MCU as the core, which makes it possible to realize the low-cost face recognition system offline. After actual operation and debugging, the system scheme has good reliability and stability.
Research on Reducing the Periodic Fluctuation of GEO Satellite One-way Timing Deviation
Authors: Li Zhaonan , Gong Daliang , Shi Fengfeng , Wang Jiangting 
Published: October 2020

Abstract
The satellite timing service has been used widely for its high precision and low cost. Based on the periodic fluctuation of the GEO satellite one-way timing deviation, this paper explores the relationship between the phenomenon and satellite movement, and then found a very strong linear correlativity between timing deviation and signal transmission delay difference. Therefore, this paper proposes a linear delay contribution compensation model in order to reduce the cyclical influence of timing deviation. The experimental result proves that the model can modify the original timing result at most 70% and almost eliminate the periodic fluctuations.
Analysis and Applications of Carbon Dioxide Laser
Authors: Wang Caokun 
Published: October 2020

Abstract
As the lasers appeared in the last century, scientist made a lot of efforts to discover the properties of them. After decades of research, lasers have become an important part in our daily life today. Lasers with different functions have been used in various fields. The purpose of writing this paper is to make readers understand the laser better. In this paper, there is an explanation of laser at the micro level. Besides, this paper also introduces the construction of RF Wave guide carbon dioxide laser, and analyzes the natures of carbon dioxide laser as well as its different applications. In the end, some recommendations and prospects of the development of the carbon dioxide laser are stated.
EnKF-levelset method for an acoustics inverse medium scattering problem
Authors: Li Zhaoxing , Huang Jiangfeng 
Published: October 2020

AbstractThis paper demonstrates a numerical method for reconstructing penetrable obstacles in a homogeneous background medium. The ensemble Kalman method is proposed as an inversion solver, and the level set technique is discussed as a flexible way to tracking the boundary. Through some numerical examples, we show that the proposed method is effective and flexible even without the priori number knowledge of the scatterers.
Research and Application of Dynamic Torque Calibration for Torque Test Bench of Electric Actuator in Nuclear Power Plant
Authors: Xia Ming , Wang Xiaolong , Yin Yelei 
Published: October 2020

Abstract
In view of the current status of electric actuator torque test benches commonly used in domestic nuclear power plants to test the output torque of electric actuators, according to the requirements of the value traceability chain, the actual working state of the test bench is the factor that determines the accuracy of electric actuator torque. In order to accurately judge the actual working condition error of the torque test bench of the electric actuator of the nuclear power plant, this paper introduces an overall dynamic calibration method and device design scheme of the torque test bench of the electric actuator of the nuclear power plant. The device reproduces the actual working conditions during the calibration process, obtains the overall indication error of the test bench, and can also evaluate and judge the mechanical cooperation and functional status of the test bench to ensure that the comprehensive performance of the test bench can meet the actual work needs.