bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on the Error Correction Method of Three-axis Fluxgate Sensor
Authors: Li Yongxin , Wu Kun , Lu Zhiyu
Published: September 2023

Three-axis fluxgate sensors are quite widely used in various industries. However, due to the inherent limitations of their manufacturing process, various deviations can occur. In this paper, we study and analyze the sources of errors of three-axis fluxgate sensors, and construct a corresponding error model. The three-axis fluxgate sensor is successfully calibrated by the extended Kalman filter algorithm. Both simulations and experiments demonstrate that the method is effective in correcting the three-axis fluxgate sensor. In the experimental stage, the error was reduced by two orders of magnitude by applying the extended Kalman filter.
Optimization Study on Fracture Morphology Based on Different Reservoir Types
Authors: Fu Yu , Li Fuwei
Published: September 2023

The research on the optimization of hydraulic fracturing fracture morphology is an essential aspect of hydraulic fracturing design. However, suboptimal fracture morphology resulting in lower than expected production often occurs due to the mismatch between reservoir types and hydraulic fracturing operational parameters. Different geological sweet spot reservoirs require distinct optimal fracture morphologies. In this paper, we categorize reservoirs into types I, II, and III, considering them as preferred layers for hydraulic fracturing. Three geological models are established to investigate the impact of fracture length and fracture conductivity on post-fracturing productivity, aiming to determine the optimal fracture morphology. The findings of this research will provide a scientific basis for the development of tight sandstone gas reservoirs in the Ordos Basin.
Design of Temperature Monitoring System for Air Cooled Radiators Based on LoRa
Authors: Shi Yanyan
Published: September 2023

Air cooling technology is widely used in the north. When the winter temperature in the north is too low, the cooling radiator is prone to freezing, leading to the inability of air cooling units to operate normally and causing huge economic losses. In response to the above issues, this article designs a monitoring system for air cooled radiators based on LORA communication, based on Internet of Things technology. Analyze the A-type tower structure and heat dissipation principle of the air-cooled condenser, reasonably select the temperature measurement point position, and achieve temperature data transmission through LoRa communication and Ethernet communication technology. The monitoring software is programmed in C # language, which can visually display the temperature distribution information of the air-cooled condenser and store data in real time. The experimental results indicate that the system has certain guiding significance for preventing the freezing phenomenon of air cooled condensers and optimizing operation.
Deep learning based Metal Artifact Reduction in X-ray Computed Tomography
Authors: Su Chunjie
Published: September 2023

Due to the presence of metal implants, computed tomography(CT) images of patients undergoing CT scans produce severe metal artifacts. In recent years, metal artifact reduction (MAR) algorithms have been developed at a high speed, and deep learning-based MAR algorithms have proved to be one of the very effective methods. However, based on the fact that most of the current deep learning-based solutions utilize simulated data for supervised training, these models are difficult to be directly applied in clinical settings. In addition, current MAR schemes still face considerable challenges in reduce streak artifacts and dark band artifacts from metal artifacts. In this paper, we propose an improved unsupervised network model based on CycleGAN suitable for small-sample training of medical images. In order to enhance the extraction of image features, the generator in this paper adopts the U-Net network model, which is commonly used in medical image processing, and the residual connection and attention modules are added between each layer of the U-Net network. In addition, in order to better repair the dark band artifacts, the input of the network is processed by mixing the original image and the prior image, and in order to make the output image retain as much as possible the effective information of the original image, this paper adds the correlation constraints of the prior image and the original image to the output of the network. Experimentally, it is proved that the method in this paper has very good ability to reduce metal artifacts.
Design of A Support Automatic Generation Algorithm Based on Layer Information
Authors: Shan Yan
Published: September 2023

3D printing technology as a new type of manufacturing technology application field is getting larger and larger, and it also plays an important role in the field of large-scale construction machinery maintenance. In this chapter, the algorithm of support automatic generation of STL model is studied, and the algorithm of support automatic generation is designed based on the layer contour information. The problem of identification of suspension area is solved by the method of intersecting and comparing the contours of adjacent layers, which provides the algorithm basis for the application of subsequent improvement technology in the field of maintenance.
Effect of Discharge Parameters on Surface Roughness and Material Removal Rate of GH4169 High Temperature Alloy by WEDM
Authors: Xu Mingming
Published: September 2023

GH4169 high-temperature alloy is a difficult-to-machine material commonly used in the aerospace industry. The surface roughness and material removal rate are important indicators in the production of WEDM processing GH4169 high-temperature alloy, and the discharge parameters directly affect the surface roughness and material removal rate. Several groups of optimized discharge parameters were used to process GH4169 high temperature alloy, and the specific influence of each discharge parameter on the surface roughness and material removal rate was obtained respectively. The results of the study provide a technical reference for the production of WEDM   processing GH4169 high-temperature alloy, and a suitable combination of discharge parameters can be selected according to different production requirements.
Expression Patterns of Immune Checkpoints in Breast Cancer Patients
Authors: Ma Ruirui , Ma Xinyi , Yan Xianxin , Ma Min
Published: September 2023

Background: immunotherapy with immune checkpoint inhibitors (ICIs) for solid tumors had significantly improved overall survival (OS). Positive response to PD-1/PD-L1 blockades was observed in the treatment of solid tumors. Breast cancer (BC) patients are no exception. However, the efficacy of immunocheckpoint therapy in BC patients remains poor. A particularly important factor is the lack of studies on the expression patterns of immune checkpoints in BC patients. Methods：This article summarizes the expression of immune checkpoints such as PD-1, PD-L1, STAT1, CTLA-4 in BC, and analyzes the relationship between the expression of these immune checkpoints and OS.Results: It was found that increased expression of PD-1, PD-L1, STAT1, CTLA-4 was associated with poor OS in BC patients. In addition, co-expression of PD-L1 with PD-1, STAT1or CTLA-4 and co-expression of PD-1 with CTLA-4was related to poor OS. We analyzed associations between the proportionate expression of PD-L1 and PD-1, PD-L1 and STAT1, PD-1 and CTLA-4, PD-1 and LAG3, PD-L1 and CTLA-4 in BC patients, there was significance in correlation in both of the BC patients. Conclusions: our results suggest that transcriptome-based co-expression of STAT1 and PD-L1 is a predictor for poor OS in BC patients, which might provide novel insight into designing combinational targeted therapy for BC.
Status and Analysis of Mouse and Keyboard Ergonomic Design Products
Authors: Tang Long , Zeng Hongxia
Published: September 2023

This study aims to explore the current status and analysis of mouse and keyboard ergonomic design products. For mice and keyboards, explain the current status of their products, analyze their problems and propose solutions through the current widely used mice and keyboards, and look forward to their future development trends. Through this research, we can better understand the current state of ergonomic design of mice and keyboards, analyze their strengths and weaknesses, and provide ideas and directions for future design. This study has certain practical significance for improving the human-computer interaction experience of mouse and keyboard products.
Prediction of Cement Slurry Density Based on AMIndRNN
Authors: Liu Ruohuan , Yang Yazhi , Wang Bin , Zhang Xingpeng
Published: September 2023

Cement slurry density is one of the key factors affecting the consolidation effect of oil casing and wellbore, and its value has a direct impact on the quality of cementing and construction safety. In the traditional cementing operation, the professionals perform experiments based on information from adjacent Wells to obtain fuzzy cement density, and then constantly adjust the final cement density in the actual operation, which costs a lot of labor and time, and is not good for real-time operation. In response to the above problems,This paper proposes AMIndRNN(Attention Mechanism combined with Independently Recurrent Neural Network) for cement slurry density prediction, and optimizes IndRNN by introducing SMU activation function. The comparison experiment between AMIndRNN model and baseline model shows that AMIndRNN model has obvious advantages in various performance indexes, which can be used to guide the design of actual cement slurry density.
Research on Precision Machining Technology of Thin-walled Parts
Authors: Yu Shixun , Wang Jinqiang , Liu Mengyang
Published: September 2023

Precision machining of thin-walled parts has always been a problem worth exploring in machining industry. Thin-wall parts are parts with relatively thin wall thickness, which are usually used in high-precision mechanical devices, aerospace equipment, automotive parts and other fields. Thin-wall parts are difficult to process and require high manufacturing technology. There are many difficulties and challenges in processing and manufacturing. Moreover, the deformation prediction technology is very important in the processing or clamping process of thin-wall parts, which can help manufacturers predict and optimize the design and processing technology of parts, so as to improve the accuracy and quality of parts and reduce the production cost.
Application Research of CFG Piles in the Treatment of Soft Soil Foundations for High-Speed Railways
Authors: Ma Lijie , Kong Ying
Published: September 2023

In the construction of high-speed railways in our country, various complex terrains and geologies are often encountered. Therefore, the treatment of special subgrades, especially the reinforcement of soft soil subgrades, becomes extremely important. Currently, there are many methods for reinforcing weak and soft soil foundations, and during construction, appropriate and economical treatment methods should be selected based on the actual site conditions. This article intends to use the reinforcement treatment of the subgrade in the section from DK30+000 to +347.62 of the Ningbo-Hangzhou Passenger Dedicated Line as a basis to discuss the reinforcement of soft soil foundations and the application of CFG piles in soft soil foundations.
CO2 Capture from Biomass Gasification Current Technologies, Challenges and Future Prospects
Authors: Wu Zhishang , Liang Xuhua , Liang Duoyi , Huang Zuoji
Published: September 2023

Biomass, encompassing agricultural and forestry residues, urban waste, and more, presents a renewable and abundant energy source with low pollution and zero CO2 emissions. This paper delves into the potential of biomass gasification for CO2 capture, emphasizing its versatility, scalability, and adaptability, especially in the context of China's dispersed biomass resource characteristics. The study also highlights the significance of drying and heating equipment in agricultural processing and the challenges posed by traditional heating methods. With China's abundant biomass energy resources, the rational utilization of biomass fuels promotes sustainable ecological development and energy structural transformation. The paper further explores various CO2 capture technologies, including pre-combustion, oxygen-enhanced combustion, and industrial separation, and discusses the challenges associated with investment, energy consumption, and capture costs. The research underscores the need for continuous innovation and development to reduce costs and enhance the efficiency of CO2 capture technologies.
Research on Teaching Strategies of Mathematical Application Problems in Primary Schools Based on the Development of Mathematical Core Literacy
Authors: Zhang Yiwen
Published: September 2023

Mathematical core literacy is the central link of problem solving, which is of great significance to the successful solution of application problems. Students really understand and successfully answer application problems, not only need students to master the essence of mathematical knowledge through various ways of mathematical core literacy, but also need students to correctly transform and apply various mathematical core literacy. In this regard, teachers should effectively improve the corresponding teaching innovation from the perspective of curriculum teaching, and then effectively improve the efficiency of curriculum development. At present, the teaching mode is single, teachers' educational concept is relatively backward and students' interest in learning is neglected, which are the difficulties in the teaching of mathematical application problems in primary schools. Therefore, this paper will focus on the application problems in primary schools, analyze the problems existing in current teaching, and put forward the teaching strategies of application problems in primary schools based on the development of mathematics core literacy, so as to maximize the value of teaching.
A Study on the Effectiveness of Speaking Apps in Improving Students' Speaking Skills
Authors: Wang Ziyi , Wang Jingxian
Published: September 2023

In the context of education informatization, educational apps are popular as one of the mobile learning methods. This study was guided by multimodal theory and investigated students' attitudes toward learning with speaking apps and the effects of speaking apps on students' speaking skills through questionnaires and experimental studies. The following conclusions were drawn: speaking apps can stimulate students' interest in learning speaking, enhance their awareness of independent learning, and improve their speaking skills; speaking apps embody multimodal discourse design and are interactive, interesting, and effective in learning; most students are more willing to promote speaking apps for teaching.
Mechanism and model of cooperation between China, Mongolia and Russia in higher education
Authors: Li Xingwang , Guo Liming
Published: September 2023

As a key node in the implementation of China's "One Belt, One Road" strategy, China, Mongolia and Russia are also key members of the "China-Mongolia-Russia" economic corridor and are playing an increasingly important role in this process. Cooperation in higher education between China, Mongolia and Russia is a natural advantage in the exchange between China, Mongolia and Russia. In order to standardize and promote the higher education cooperation between China and Russia, it is necessary to continuously improve the mechanism of higher education cooperation between China, Mongolia and Russia with the joint efforts of Chinese and Russian governments, universities, enterprises and society, and create a model of higher education cooperation with the characteristics of China, Mongolia and Russia, so as to create a new situation for the higher education cooperation between China, Mongolia and Russia and contribute to the higher education cooperation between China, Mongolia and Russia.
Female CEOs and corporate agency costs——Microscopic evidence based on panel data of Chinese listed companies
Authors: Gui Beibei
Published: September 2023

Improving the status of women in the workplace and encouraging outstanding women to enter the board of directors, board of supervisors and management of enterprises has become a hot topic of concern in the new era.  Based on the panel data of A-share listed companies in Shanghai and Shenzhen stock markets, this paper explores the impact of female CEOs on corporate agency costs from the perspective of high-level corporate theory, and examines the effects of female CEOs, female directors, and female general managers on the first and second types of agency. cost impact mechanism.  The research results show that female CEOs can significantly reduce corporate agency costs; and the internal control quality of companies that appoint female CEOs is higher, and female managers are more capable, which has a more significant effect on reducing corporate agency costs. The conclusion of the article expands the research on female CEOs and corporate agency costs, and provides policy implications for how companies and society can further promote gender equality and grasp the capabilities of female talents.
Research on Virtual Reality Network Course Technology under Computer network technology
Authors: Qi Sun
Published: September 2023

This paper explores the introduction of virtual simulation experiment as an auxiliary teaching method into the course teaching of computer network. This paper uses Packet Tracer virtual simulation software to explain the application of virtual simulation experiment teaching in computer network course in detail by introducing cases, analyzing cases, solutions, autonomous learning, basic steps, experimental tests and results. The practice proves that the virtual simulation experiment teaching is helpful to improve the teaching effect. This article through the image, intuitive, vivid graphical interface operation, convenient for students to understand and grasp the knowledge point.
Change and Reflection: the Boundary and Relevance in the Study of Painting in Song Dynasty
Authors: Zhao Wanpeng
Published: September 2023

In the face of the disciplinary crisis of art history, the methodology of the study of Song painting has been adjusted accordingly. Similar to other humanities, the study of Song painting draws on interdisciplinary research results, inherits its research methods, and has achieved rich research results, further promoting the research vision of the discipline. Reflecting on the research results of Song painting under the guidance of interdisciplinary research methods, we can find that the problem of demarcation and correlation is a serious problem that must be faced.
Interpreter’s Subjectivity in Interpreting from The Perspective of Interpretive Theory-- An Example of Zhang Jing's Interpretation in the 2021 China-US High-Level Strategic Dialogue
Authors: Qian Jiayao
Published: September 2023

Interpreters, who are the main actors in interpretation, might even play a decisive role in some negotiations. But in conventional interpretation, they were frequently disregarded or even undervalued to the point where they were once referred to as "translation machines." This essay uses interpretive theory as a guide to analyze the subjectivity of interpreters in political and diplomatic meetings, using the 2021 China-US High-level Strategic Dialogue as the research object. It aims to further explore the factors that influence interpreters' subjectivity in diplomatic activities. According to the study, interpreter acts as a mediator between the two parties as well as a transmitter of information, and is required to have an extensive spectrum of expertise. Based on proper comprehension, he or she should be immune from the linguistic symbols of the source language, allow full display of subjectivity, and flexibly employ methodologies of interpretation to reformulate in a manner that is consistent with the conventions of the targeted language.
The Problems and Development Direction of the Objection System of Criminal Trial Jurisdiction
Authors: Chen Lele
Published: September 2023

China's criminal procedure law has not yet stipulated the jurisdiction objection system, and in judicial practice, different courts have different ways of handling the jurisdiction objection of criminal trial, which not only damages Procedural justice, but also challenges the judicial credibility of relevant courts. During the operation of the jurisdiction system, the parties have almost no say in their own jurisdiction interests. Based on the litigation concept of procedural fairness, the parties should have the right to raise objections due to the lack of jurisdiction or inappropriate jurisdiction of the judicial authorities. In order to correctly safeguard the legitimate rights and interests of litigation parties and the development of judicial practice, it is urgent to learn from the beneficial experience of the relevant jurisdiction objection system in foreign criminal procedure laws, and promote the construction of the jurisdiction dispute system in China's criminal procedure law. Within the basic framework of the criminal litigation legal system and in combination with judicial practice, China can selectively draw on the objection system of extraterritorial criminal trial jurisdiction, construct a criminal trial jurisdiction objection system that is in line with China's national conditions, and achieve the organic unity of cracking down on crime and protecting human rights. This article studies the problems in the objection system of criminal trial jurisdiction and the countermeasures to the issue of objection to trial jurisdiction in China.
Research on the Application of Modern Information Technology in English Teaching——An investigation based on the perspective of technology acceptance
Authors: Wang Jiawei , He Ying , Tan Wenxuan
Published: September 2023

In the information age, science and technology have profoundly impacted the education industry with their wide penetration. Scientific development advances new demands and challenges for education, influences traditional areas of education, leads to conflicts in education between the new and the old, the advanced and the backward, and ultimately promotes educational innovation and development. Many new technology products have been adopted in education. These new technologies are being applied to improve teaching effectiveness on the one hand and to promote the popularisation and popularisation of education on the other. As a kind of humanities, English has undergone many changes in English education in recent years due to informatization. Most academics now concentrate on how and whether students, the audience, can embrace this transformation. There is, however, no clear assessment system for the effect of teaching English, and in the process of teaching English, effective feedback is an important component of effective instruction. The key factors to determine whether to give effective feedback are students' self-efficacy and learning engagement. Therefore, this study adopts an adaptation-mode integration technology acceptance questionnaire to analyze the influence of general self-efficacy and learning engagement on English teaching effectiveness. Drawing on the learning theory of modern educational technology, this study conducts an empirical investigation based on the technology acceptance perspective, comprehensively reviews the application of modern information technology in English language education, and advances plans and options for improving the effectiveness of education in the future.
A Review on Several Recent Studies on Alzheimer’s Disease
Authors: Qin Yuejin
Published: September 2023

The research on Alzheimer’s disease (AD) has progressed in recent years. The potential risk factors for AD are multifaceted, which makes the diagnosis and treatment of AD extremely challenging. With the development of bioinformation other manipulations in the micro level, more and more research studies have revealed different aspects of the disease. This study summarizes current results on the etiology of AD as well as treatments for AD and their effectiveness by reviewing empirical findings. In the genetic level, some genes have been examined on mice model by inhibition or optogenetic activation and revealed pathways in the formation of AD. Apart from genes, proteomic studies on certain proteins have also revealed some related changes triggered by blood proteins. Meanwhile, researchers have tested non-invasive treatments such as affecting the brainwave of mice. However, the results do not always change into clinical treatments. The present study emphasizes the necessity to integrate these pieces of study and form a more comprehensive understanding of AD.
Sustainable Development of Integrated Education in the Context of Globalisation: Case Study of Dubai Chinese School
Authors: Zhu Jinwen
Published: September 2023

As globalisation accelerates, an increasing number of Chinese citizens choose to relocate to the resource-rich region of Dubai for employment or study in search of better living and growth prospects.Dubai Chinese School, as an overseas school offering integrated education, gives these new immigrants with an excellent learning environment and multicultural experience, as well as assistance in improving their social adaptability, thereby encouraging diversity and inclusion in society. After experiencing a rapid development stage, the local integrated education in Dubai is now in a bottleneck period, still facing a series of difficulties such as cultural differences, language barriers, and lack of educational resources. according to literature reviews and field investigations. Under the situation of coexistence of opportunities and challenges, integrated education needs to take many measures to solve these problems, such as strengthening regional cultural exchanges, establishing resource sharing platforms, and promoting home-school cooperation, so as to provide practical experience and inspiration for the development of global multi-culture.
Phonological awareness (PA) in Chinese-English bilingual word decoding (reading)
Authors: Lu Xinyu
Published: September 2023

Phonological awareness is one of core reading requisites in early reading acquisition. Children develop initial phonemic awareness and phonological awareness, which in turn contribute to their learning-to-read skills, word reading and decoding abilities in particular. This review study synthesized the relationship between phonological awareness and word reading ability in monolingual and Chinese-English bilingual readers to shed light on the universal and language-specific mechanisms of phonological awareness in word reading in two typologically-distant languages. The findings indicate that phonological awareness has different grain sizes (e.g., onset, rime, phoneme, and syllable) in shaping early reading acquisition. More important, the current study highlights the uniqueness of universality and language specificity in Chinese-English bilingual reading acquisition. In addition to general phonological awareness facets, lexical tone awareness has been endorsed as a key predictor of early Chinese-English bilingual word reading.
Discourse Analysis of Perceptions of STEM Education: A Virtual Dialogue Based on Multi-Interested Subjects
Authors: Yu Xinhui
Published: September 2023

The debate over whether STEM education is worth promoting has always been an essential theme in research. There are differences in the perceptions of different subjects on this issue, but the current research is analyzed more from a single perspective. In virtual dialogue, this study constructs multiple rounds of dialogue among multi-interested subjects, focusing on the perceptions, consensus, and disagreement of the nature and dilemmas of STEM education, and their attitudes towards STEM education. It is found that the four subjects of interest, school administrators, teachers, parents, and out-of-school institutions, have a high consistency in many aspects of their perceptions. Still, there are also cognitive conflicts in some areas or more dispersed perspectives. In addition, they present differentiated attitudes and behaviors at the three levels of acceptance, commitment, and expectation.
Analysis and Improvement of Authentication Schemes for Industrial Wireless Sensor Networks with Fog Computing
Authors: Huo Yuyan , Kang Baoyuan , Zuo Xinyu , Niu Shufang , Li Anqian
Published: September 2023

Cloud computing enables access to needed resources from a shared pool of configurable computing resources anytime, anywhere. Cloud computing offers many benefits, such as security and reliability of data and convenience of resource sharing. But as more and more devices are accessed, the demand for network bandwidth increases and it is because cloud computing centralizes all the resources that risks are also centralized. To overcome the shortcomings of cloud computing, the concept of fog computing has been introduced. Fog computing supports high mobility and has a wide geographical distribution, it also delivers data with very low latency. However, as an extension of cloud computing, fog computing inherits the security and privacy issues of cloud computing. Therefore, identity authentication in a fog computing environment is essential. In 2022, Sahoo et al. proposed an authentication scheme for industrial wireless sensor networks with fog computing. However, we analyze the security of Sahoo et al.’s scheme and find that many places in the data distribution phase are not clearly explained and their scheme is also not resistant to user impersonation attack, tracking attack, denial of service attack and replay attack. In order to overcome the weaknesses of Sahoo et al.’s scheme, this paper proposes an improved scheme by making full use of random numbers and timestamps. After security analysis and comparison with some similar schemes, it is shown that the improved scheme can resist various known attacks and has smaller computational cost.
Design and Implementation of a Small Program for Collecting Ethnic Voice
Authors: Zheng Siyi
Published: September 2023

The Ethnic Language Collection Mini Program is an application based on mobile internet technology, designed to help users collect and record voice and text information of ethnic languages. The use of ethnic language collection mini programs can effectively promote the inheritance and protection of ethnic languages, helping users better understand and learn about ethnic culture. Language researchers can share their voice data with other users or research institutions to promote language research and protection.
QT and Simulink Mixed Call Implementation
Authors: Chen Xingxing
Published: September 2023

In order to give full play to the advantages of Qt and Simulink, this paper puts forward a mixed programming method of Qt and Simulink, through the mixed programming technology of VC++ and Simulink, the code generated by Simulink model simulation is called by Qt, and it can be displayed vividly by ui interface. The mixed call of the two can greatly reduce the difficulty of manually writing the algorithm, thus improving the efficiency of the project to a great extent.
System Design of Microcrystal Freezing Sleeping Equipment and Research on Effect of Foie Gras Fast Cooling Equipment
Authors: Ma Lijun , Zhu He , Xu Xiaojian , Xing Yanxia , Li Bo , Yu Yang , Zhu Mengliu
Published: September 2023

The purpose of this paper is to design the heat exchanger copper tube in the microcrystalline freezing sleeping equipment system and explore the freezing effect of the foie gras fast cooling equipment. By using SOLID WORKS 2021 to design the heat exchanger of the copper tube, it is applied to the microcrystalline freezing sleeping equipment. Exploring the cooling time of microcrystal freezing sleeping equipment and freezing refrigerator; The extraction rate of foie gras juice at different temperatures after being treated by microcrystalline freezing equipment was investigated, and the optimum freezing temperature was obtained. Compare the juice leaching rate, cooked meat loss rate, color difference, shear force physicochemical properties of foie gras  after different treatment methods. The results show that it takes 12.5 min for the body temperature to reach -18℃ by using the frozen sleeping equipment, which is better than 240 min in the refrigerator. When the temperature of the instrument is set at -20℃, the juice leaching rate is the least. There was no significant difference in the cooking loss rate and SAP leaching rate between the treatment group and the liquid nitrogen treatment group. There was no significant difference in color difference among the three freezing groups. There was no significant difference between the tenderness of foie gras treated by microcrystalline freezing device and that of fresh meat group. Thus, the feasibility of changing the copper tube of heat exchanger to improve the efficiency of the equipment is verified, which provides a theoretical basis for the comprehensive utilization of the rapid cooling equipment in the future.
Training Scene Construction and Motion Realization of Unmanned Craft based on Unreal Engine
Authors: Gao Jiaxin , Chen Yuelu , Cao Baolong , Chen Yiming , Li Chuanqi
Published: September 2023

Aiming at the problems of the traditional training system, such as the unrealistic simulation of 3D animation effects and the inability to meet the demand of real-time manipulation response of simulation training based on the original mechanical calculation, this paper puts forward a method of unmanned craft training scene construction and motion realization based on Unreal Engine. The method makes full use of Unreal Engine's powerful graphic rendering ability and physics engine function, and combines 3D MAX to realize the rapid construction of unmanned craft training scene, environment simulation, and unmanned craft motion simulation and control. The developed unmanned craft training software has the characteristics of smooth and clear picture, realistic and delicate scene, strong training immersion, and real manipulation experience, which can effectively improve the training efficiency and training safety, reduce the training cost, and have significant economic benefits.
Design and Development of APP based on Android Vision Testing and Protection
Authors: Zhong Shuming , Jiang Hongyu , Zhao Haihong
Published: September 2023

With the rise of mobile platforms, more and more applications are being developed. with the rise of mobile platforms, more and more traditional PC software has been transplanted to mobile platforms, such as iPad, iPhone, Android and other intelligent terminal devices, among these platforms, Android occupies the largest market share, so the development of software to satisfy the daily use of Android users has become a big hit nowadays. In this design, the popular Android platform is used as the development technology to realize an APP software for vision test and protection. This software will bring convenience to the majority of network users to protect their eyesight, and optimize the vision and color blindness test method, saving people's time to go to the hospital for examination, providing a more convenient and efficient test method for the majority of users, and also providing timely prevention of myopia. Through this software, it is more convenient for people to test their eyesight and color blindness and prevent myopia. In this thesis, we will step by step introduce the vision test and protection APP based on Android. This thesis will step by step introduce the background and significance of the development of vision test and protection APP based on Android platform, then introduce the development, design, function and implementation process of this system in detail, and finally summarize this thesis.
SOC Prediction for Lithium Battery Via LSTM-Attention-R Algorithm
Authors: Li Xueguang , Dumlao Menchita F.
Published: September 2023

New energy vehicles are developing rapidly in the world, China and Europe are vigorously promoting new energy vehicles. The State of Charge (SOC) is circumscribed as the remaining charge of the lithium battery (Li-ion), that indicates the driving range of a pure electric vehicle. Additionally, it is the basis for SOH and fault state prediction. Nevertheless, the SOC is incapable of measuring directly. In this paper, an LSTM-Attention-R network framework is proposed. The LSTM algorithm is accustomed to present the timing information and past state information of the lithium battery data. The Attention algorithm is used to extract the global information of features and solve the problem of long-term dependency. To ensure the diversity of feature extraction, the Attention algorithm in this paper uses multi-headed self-attentiveness. The CACLE dataset from the University of Maryland is used in this paper. Through the training of the model and the comparison, it is concluded that the LSTM-Attention-R algorithm networks proposed in this article can predict the value of SOC well. Meanwhile, this paper compares the LSTM-Attention-R algorithm with the LSTM algorithm, and also compares the LSTM-Attention-R algorithm with the Attention algorithm. Finally, it is concluded that the accomplishment of the network framework contrived is superior to the performance of these two algorithms alone. Finally, the algorithm has good engineering practice implications. The algorithm proposed provides a better research direction for future parameter prediction in the field of lithium batteries. It has a better theoretical significance.
Research on Computer Network Security Prevention in the Context of Big Data
Authors: He Jiahao
Published: September 2023

With the rapid development of information technology, big data technology has become one of the important pillars of today's society. However, the wide application of big data has also brought more security threats and challenges, among which computer network security has become a focus that needs to be solved urgently. This thesis aims to study the current situation and challenges of computer network security in the context of big data, analyze the advantages and disadvantages of the existing security measures, and put forward improvement programs to better protect computer network security in the era of big data.
Evaluation and Analysis of Airside Economic Zone based on GIS Technology
Authors: Yang Bowei
Published: September 2023

The purpose of this paper is to establish a feasible indicator evaluation system for the Daxing Airport Airside Economic Zone, so as to make suggestions for the land development of Daxing Airport. The land use of Daxing Airport Airside Economic Zone may lack a reasonable planning and indicator evaluation system. Based on the results of indicator calculation, combined with the spatial analysis function of GIS, it explains the reasons for some uncoordinated development of the area, and makes targeted suggestions for improvement of the problems in each land use segment. This study aims to comprehensively assess the integrated benefits of commercial service utilization in the airport and airside areas, and therefore constructs a multi-faceted indicator evaluation system to comprehensively measure the advantages and disadvantages of land use.
Web-based Financial Accounting Information Intelligent Management Platform Construction
Authors: Zheng Chaoliang
Published: September 2023

Conventional financial accounting information management platform mainly uses AJAX, DWR technology to deal with the server side as a carrier, vulnerable to the server deployment location, resulting in some of the functional modules run abnormally, therefore, the need to design a new Web-based financial accounting information management platform. The test results show that each functional module of the designed Web-based financial accounting information intelligent management platform can run in an orderly manner and has reliability, which is a new exploration for optimising the intelligent management of financial accounting information and promoting the transformation of enterprise digital intelligence.
Key Technologies for Automatic Driving Function Implementation
Authors: Xiao Dongyang
Published: September 2023

Along with the application of electronic cars and advanced technology, the rapid development of intelligent driving and automatic driving as an important auxiliary driving technology is a more advanced stage, will be the future of transport is an important mode of transportation, the autopilot has now become the country and extremely and hot research topic in the world. Especially in recent years, autonomous driving has made great progress through technological innovation. This article provides an overview of the history and key technologies of autonomous driving, which today promises a safe, comfortable and efficient driving experience. In recent years, the field of artificial intelligence has made great strides in computer vision, machine learning and self-driving cars. As with any fast-moving field, it's getting harder and harder for a beginner to keep up with technology or get into it.
Research on Regional Financial Risk Identification and Contribution Analysis Based on ANN-RBF Neural Network
Authors: Ye Lingfeng , Lian Yinsen , Chen Zhikun
Published: September 2023

Regional financial risk is an issue that cannot be ignored around the world today. Studying financial risk and analyzing the deep-seated influential factors is conducive to reducing the generation of financial crises. This paper aims to study the influencing factors of regional financial risk and their contribution. Firstly, we identify influential factors of regional risk in the three northeastern provinces of China, then based on the artificial neural network-radial basis function (ANN-RBF) algorithm, we collect data from the region for the past 20 years for analysis and calculate the contribution of different risk influential factors to regional risk. The results show that: (1) CPI dominates in influencing the regional financial risk in the three northeastern provinces of China, followed by the growth rate of import and export and the local public finance surplus. (2) When the neuron is 29, the accuracy of the algorithm converges at this point and the model reaches optimum. The research in this paper is conducive to uncovering the influential factors of regional financial risk and reducing the generation of financial crises.
ESG Information Disclosure and Asset Mispricing
Authors: Yue Wang
Published: September 2023

Using Shanghai and Shenzhen A-share listed companies from 2011 to 2020 as the research sample, this paper empirically examines the relationship between ESG information disclosure and asset mispricing. The findings show that high-quality corporate ESG information disclosure can mitigate the level of asset mispricing, with environmental (E) dimension disclosure being a key factor in reducing the level of asset mispricing. The mediating effect shows that corporate ESG disclosure reduces the level of asset mispricing by increasing the transparency of corporate information. Further research shows that the mitigation effect of corporate ESG disclosure on asset mispricing is stronger when the shareholding of pressure-resisting institutional investors in the underlying company is higher and the media monitoring is stronger. The research in this paper provides a theoretical basis for an in-depth understanding of the impact of corporate ESG information disclosure on asset mispricing, to better improve the efficiency of capital market resource allocation and promote the healthy long-term development of the real economy.
Unilever‘s Practice on AI-based Recruitment
Authors: Hu Qirui
Published: September 2023

Artificial Intelligence (AI) is shaping the reality of human resource management (HRM). It is ideal for HRM to do predictive decision-making tasks like recruitment and selection. Talent acquisition includes identifying qualified candidates, aligning assessment methods with job or performance-related criteria, and managing administrative discretion in the hiring process. Other threats like high volumes of applications, biases in candidate selection, and a shortage of qualified candidates also bother recruiter teams. While AI-based recruitment supported by the natural language process (NLP) addresses such challenges by automating or augmenting various aspects of recruitment, such as sourcing, screening, and interviewing candidates. Unilever started its partnership with HireVue and Pymetrics to design a system of recruitment, selection and onboarding supported by AI in 2016. This article uses the case analysis method to discuss Unilever’s application of AI in the recruitment and selection process. The analysis will be conducted in the context of social network site (SNS), gamification, and verbal computer mediated communication (VCMC). Unilever saved bunches of time and cost, while improving its HRM performance. Such decision-making tools associated with AI raise concerns of bias and private crisis. This article is also aimed to discuss such a phenomenon in the context of Unilever. Talent acquisition by AI is an inevitable trend. This article is helpful as a benchmark.
Feasibility Recommendations for Sustainable and Innovative Development of Rural Tourism in China
Authors: Wang Xintong
Published: September 2023

The global tourism industry has been devastated by the three-year Coronavirus disease 2019 (COVID-19) pandemic, as it has been in China. In contrast to urban tourism, rural tourism has grown in popularity among city dwellers. Tourism is viewed as an effective means of achieving sustainable development within the context of global concern for sustainable development. Rural tourism is crucial to achieving sustainable economic and social revitalisation development in China, where the countryside comprises a large proportion of land and resources. Consequently, this study employs a secondary research methodology to examine the history and current status of rural tourism in China, combining the changes in travellers' tourist preferences with the relationship between sustainable development and transformative tourism after the pandemic. The findings indicate that after the COVID-19 pandemic, rural tourism development has enormous potential. For economically, culturally, and environmentally sustainable tourism, it is suggested that local governments should emphasise the importance of cultural empowerment. Local governments should coordinate and direct with the active participation of key stakeholders; entrepreneurs and villagers should utilise local culture to innovate tourism projects and provide visitors with meaningful tourism experiences that combine nature, humanity, and community. The significance of this research is to provide local governments and key tourism industry stakeholders with an analysis of the current situation and recommendations for innovative development at a crucial time in the transformation and upgradation of rural tourism.
The Influence of Hotel Brand Image in Social Media Marketing on Consumer Purchase Behavior
Authors: Luo Jingjia
Published: September 2023

In the post-epidemic era, many hotels want to win a high market share. And with the development of the times and the enhancement of consumers' brand awareness, the power of hotel brands is becoming more and more important. There are many ways for hotels to enhance their brand image. In addition to traditional ways, social media is currently a popular way. At present, more and more hotels are opening all over the country, and various brands emerge endlessly. In the frenziedly competitive hotel market, exploring the purchasing behavior of consumers and seeing how consumers choose is basically the brand image establishment process of a hotel. Through literature review, this article identified two attitudinal variables that have an important impact on consumer purchasing behavior, namely social media marketing and hotel brand image. Through understanding relevant cases and relevant data analysis, the study found that social media marketing is an important window for hotel brand display, and brand-related advertisements and third-party evaluations will affect consumers' purchasing behavior.