bluuebunny/crossref_metadata_2025 huggingface dataset:
Forecasting Construction Cost Using Artificial Neural Network for Road Projects in the Department of Public Works and Highways Region XI
Authors: Gante Donna Ville , Silva Dante L. , Leopoldo Meriam P.
Published: August 2022

The development of roads has been one of the nation’s most essential infrastructural initiatives. It is an essential mode of transportation that plays an important role in our everyday lives. Because of its importance, the government has allotted large budgets in making roads in different parts of the country. The quantity and complexity of road construction projects have substantially expanded in recent years. Numerous novel methods and technology have been developed to facilitate road construction budgeting, planning, and decision-making. Using Artificial Neural Network (ANN), this study constructed a forecasting model to accurately anticipate the future costs of road improvements. Between 2017 and 2020, fifty (50) completed road projects from the Department of Public Works and Highways (DPWH) Regional Office XI were utilized by the researcher. The DPWH RO XI is one of the country’s largest implementing offices for constructing public roads catering the entire Davao Region. This research used the project cost as the dependent variable while the independent variables are the construction activities’ revised duration and variation order in running the model. Multiple linear regression model performance was compared to the performance of the neural network prediction model. The data included the major construction activities for road projects with its corresponding revised duration, actual and planned cost, and the reason for variation order. It demonstrates that the neural network models outperform to the multiple linear regression (MLR) model in terms of prediction accuracy. This research offers a model to the government agencies and contractors implementing road construction in predicting road construction costs more accurately.
A Lightweight Meter Detection Method Based on Yolov5
Authors: Shao Junren , Yu Jianglong , Long Lei , Yang Tao , Shi Anyun , Yang Qingshi , Wang Ning , Xia Tianqing , Zhang Shuaitong
Published: August 2022

With the deepening of industrial automation, a large number of edge intelligent devices are deployed in industrial meter detection. In view of the limited computing and storage capacity of these embedded devices, we propose a lightweight meter detection method. Our proposed method is based on the widely used Yolov5, the depthwise separable convolution and squeeze and excitation channel attention module are used to simplify the backbone and head of the network, and further prune the filters of convolution layers via geometric median. Finally, model parameters and floating-point operations are reduced to 0.250M and 0.687G on the premise of ensuring the effect of the meter detection.
Traditional Chinese Medicine Information System Using Classification and Clustering Algorithms
Authors: Qu Weiwei , Kummer Marifel Grace C. , Cui Delong
Published: August 2022

The main function of Chinese medicine decision support system is to cluster Chinese medicines based on K-means (cluster Chinese medicines with similar properties into groups, so as to discover new properties of Chinese medicines, which can be referred to during drug use). The other is to classify Chinese medicines by Bayesian classification. The purpose of classification is to find the traditional Chinese medicine that can be used as nutritious food, or to find the traditional Chinese medicine with food and nutritional properties. Firstly, the traditional Chinese medicine with known food properties is used as the sample, and the Bayesian algorithm is used for learning and training. Then, the training model is used to analyze the new traditional Chinese medicine, so as to analyze whether a certain traditional Chinese medicine has the properties of nutritional food. Other functions include traditional Chinese medicine basic information management, traditional Chinese medicine data collection, traditional Chinese medicine data preprocessing, etc. After the operation of classification and clustering, the input data of traditional Chinese medicine will have more predictive values (mainly whether it has food nutrition or which traditional Chinese medicine can be divided into the same group), which can be used for reference by traditional Chinese medicine practitioners.
Impact of Fintech on Islamic Bank Performance in Malaysia: Descriptive Study on Fintech
Authors: Rickinghall Manal
Published: August 2022

This paper aims to evaluate the impact of Islamic FinTech innovations on Malaysia’s banks’ performance by utilizing the eighteen regional commercial banks that started Islamic banking in Malaysia. The data is from 2005–2020 with four hundred and seventy observations. Multivariate regression has been used to evaluate the research questions empirically. This research is the first to statistically evaluate the Islamic fintech innovation impact on the bank’s performance in Malaysia. Furthermore, research on financial metrics is presented thoroughly for the years 2005–2020. We have contributed to the Islamic FinTech era with the following findings: (i) The Islamic FinTech has a positive effect on the bank’s performance in Malaysia; (ii) The Islamic FinTech has also positively affected the banks’ income; (iii) The impact of Islamic FinTech on economic performance was more substantial for the small-banks compared with large-banks; (iv) In terms of balance sheet debts, small banks’ funds of money market are positively influenced by the application of Islamic FinTech; (v) In terms of consumer loan repayments to the small banks have been positively impacted by the app of Islamic FinTech; (vi) The per capita GDP does have a good impact on ROE of banks; (vii) Penetration rates of Islamic banking has positively impacted bank’ return on assets and equity.
Construction and Analysis of Enterprise Innovation Capability Evaluation Model – A Case Study of 30 Listed Companies in Gansu Province
Authors: Li Jinghan
Published: August 2022

Listed companies are the backbone of the regional economic growth. The enterprise innovation capability is the ability of the enterprises to integrate the internal and external resources through multi-dimensional innovation activities to improve the enterprise performance and obtain the economic benefits in a short period. This paper constructs the evaluation index system and evaluation model of enterprise innovation ability from three perspectives: technological innovation ability, institutional innovation ability and management innovation ability, and uses the improved AHP method to determine the weight of each index. Based on the data of 30 listed companies in Gansu Province from 2016 to 2020, this paper measures their innovation efforts and suggests the ways to improve their innovation ability.
Collaborative Filtering Algorithm Based on Item Popularity and Dynamic Changes of Interest
Authors: Zhang Xuan , Su Kai , Qian Feng , Zhang Yanru , Zhang Kan
Published: August 2022

The traditional collaborative filtering algorithm does not consider the influence of item popularity in similarity calculation, and the prediction score does not consider the influence of time on the change of user interest, resulting in inaccurate similarity calculation and single recommendation result. To solve these problems, this paper improved the traditional similarity calculation method by combining the item popularity penalty coefficient, improved the recommendation diversity of the algorithm, and integrated the time factor into the prediction method to solve the problem of interest attenuation. Experiments on the 100K and 1M data set of Movielens show that the improved algorithm effectively improves the accuracy and coverage of recommendations.
Intellectual Capital and Information: Examples About Some Relationships
Authors: Ramada Óscar Teixeira
Published: August 2022

This research aims to know some examples of papers that relate the intellectual capital and information (the theory of) and the relationships established between both. Previous research, up to this date of 2022, has been insufficient and disjointed in a single direction. There is a lack of objective approaches (instead of subjective), and there is a lack of approaches that allow replications to reality and, above all, that make it possible to know the intellectual capital and information (the theory of) to make known an objective value, expressed in euros, as if it were other products. At the same time, there must be dynamics that make it vary over time, know its sources of change and know what makes it remain the same, raise or lower its value. Once this desideratum is reached, the real objective that materializes the intellectual capital and the information (the theory of) that underlies it is reached.
Investment Approach by Alpha Value: Case of Firms Listed on the Stock Market in Vietnam Period Before and After the Covid-19 Pandemic
Authors: Nguyen Anh Phong , Dang Huyen Linh , Nguyen Thi Tra My , Cao Hoang Nam , Nguyen Ha Nam Phuong , Nguyen Huynh Phuong Vy
Published: August 2022

This paper has approached the investment method by alpha value as the excess return to compensate for risks other than the market risk with the data sample of filtered stocks from three major exchanges of the Vietnam stock market HOSE, HNX, and UPCOM from January 2016 to December 2020. Then, we compare the performance of the portfolio through 2021, the year Vietnam fell into the 4th wave of Covid and was the hardest hit. The results of the paper have shown that the portfolio selected by the alpha method has eliminated the beta market risk of the portfolio and has the actual portfolio return higher than the general rate of return of the stock market index, thereby reinforcing and proving the effectiveness of the alpha investment model.
Investigation and Analysis for Self-Directed Learning of Backbone Teachers in Primary and Middle Schools
Authors: He Jisheng , Chen Manyi , Zhong Jiaming
Published: August 2022

Purpose: to discuss about the self-directed learning readiness of backbone teachers in primary and middle schools, and its relationship with their learning effectiveness. Methods: “scales for teachers’ self-directed learning readiness” and “questionnaires about teachers’ in-service training effects” were conducted on 592 primary and middle school backbone teachers who were receiving National Teacher Training Program. Results: The self-directed learning readiness of primary and middle school backbone teachers is commonly high; the readiness differs in different genders, teaching ages, and between rural and urban areas; there is significant positive correlation between the teachers’ self-directed learning readiness and their learning effectiveness. Enlightenment: Supportive system for self-directed learning should be created, to encourage and lead backbone teachers in primary and middle schools to achieve self-directed learning with high efficiency.
The Application of Formative Evaluation to Online Teaching of “Doctor-Patient Communication Skills”
Authors: Zeng Zuyun , Hu Fang , He Jisheng , Yan Wenting
Published: August 2022

Purpose: to investigate the application of formative evaluation to online teaching of “Doctor-Patient Communication Skills”. Methods: taking three classes of students majored in Medical Imaging Technology (entered our college in the year 2018) as the research objects, who are divided into the experimental group and control group. The experimental group focuses on the teaching method of online formulative evaluation, while the control group centers on face-to-face classroom teaching. Contrastive analysis is conducted on the online learning of experimental group, including online independent learning, online interaction, module completion, chapter test, and final exam results. Then, the final scores of students in each group are compared. Through questionnaires in each class, students’ assessment about formative evaluation of online teaching and classroom teaching is compared. Results: by contrasting the satisfaction of teaching methods and the satisfaction of self-evaluation, the experimental group is better than contrast group (P<0.05); by contrasting theoretical score, the experimental group is higher than the contrast group (P<0.05); the teaching ability of members in experimental group is better than that of contrast group (P<0.05); the CTDI-CV score of students in experimental group is obviously higher than that of the contrast group (P<0.05). Conclusion: Formed in the doctor-patient communication skills online teaching evaluation scheme applied value, students can very clearly know oneself in the course of the study situation, timely reflection, find out the deficiencies, lessons learned, at the same time making efforts in the direction of the next stage and target, at the same time, teachers can grasp the characteristics of formative assessment, according to the result of formative assessment, Grasp the analysis and improvement of students’ learning process in teaching practice and help formulate more effective teaching methods. It can improve students’ final score and teaching satisfaction.
A Survey on the Status Quo of Dormitory Equally Shared Fee at Universities: A Case Study of Xiangnan University
Authors: He Ling , Liu Yu
Published: August 2022

Dormitory equally shared fee is the expense collected from all dormitory members voluntarily and used for dormitory group activities or communal purposes. Investigating the average level, sources, and the spending structure of the dormitory equally shared fee opens up a new pathway to understanding the dormitory life of college students and the status quo of collaboration between the school and dormitory in talent fostering. A questionnaire survey was administered to 242 dormitories at Xiangnan University. Some individuals were picked for case interviews. The prevalence, amount, source, spending structure and the influence factors of the dormitory equally shared fee were analyzed. The research findings provide clues for guiding college students’ dormitory life, dormitory management, and collaboration between the school and dormitory in talent fostering.
Re-Engineering Approach on Human Resources Management Practices (HRMP) Towards Chinese Teaching System in Nursing Programs
Authors: Wang Juan , Li Qiang , Chen Min
Published: August 2022

The purpose of this study is to discuss the re-engineering strategies on human resource management practices in China’s higher education system, particularly in Nursing institutes. The Lecturers in Chinese nursing higher education institutions have limited deliveries (sessions) on Human Resources Management (HRM) module, thus the nurses have a challenge while dealing with patients. Through this research, it has been highlighted with evidence to teach students practical HRM skills has numerous benefits and so that Chinese nursing students can match their academic understanding with their practical experience. By reviving this practice, it becomes a process of re-engineering in Chinese teaching systems. This applied research had 91 respondents collected through primary data. SPSS tool is used to analyse these datasets. ANOVA and Measurement model analysis were done based on the data collected.
The Application of Interactive Case-Based Teaching Method in the Implementation of “International Law”
Authors: Yan Yayi , Zhang Wei , Zhong Jiaming
Published: August 2022

Moral education in colleges and universities goes through the teaching of all the courses, which integrates into all the links of teaching and practice. In daily teaching, moral education is a kind of implicit education influencing in a imperceptible way. The teaching content of “International Law” includes profound moral education, which can effectively transfer from “ideological and political courses” to “ideological and political theories teaching in all courses”. Therefore, interactive case-based teaching method is a good way to achieve ideological and political teaching in a “silent and soft” way. Through interactive case-based teaching, moral education can be penetrated into the lecturing of professional course knowledge and a series of activities, which can form the course teaching with the integration of “intellectual education” and “moral education”, to integrate the values shaping, knowledge imparting and ability cultivation. In this way, the fundamental task of building morality and cultivating people will be fully implemented.
Research on the Application of Big Data in Teaching Quality Monitoring Platform of Local Colleges and Universities
Authors: Zhong Jiaming , Ye Lijuan
Published: August 2022

Purpose: Through analyzing the characteristics of higher education, a teaching quality monitoring big data platform of local colleges and universities is constructed. Methods: The data base of basic teaching state is applied to the teaching quality monitoring system, to improve the information gathering, processing, and feedback ability of quality monitoring, as well as to enhance the working efficiency and quality of monitoring. Conclusion: The platform framework consists of business management information system, database, data analysis, data application and so on. Suggestions: Based on database, the platform input the systematic data of all kinds of businesses in the data center into database, offering fundamental data support to systems like state database, academy evaluation, and application for the first-of-class majors. Then, these data can be obtained automatically, and processed to the fundamental basis required by all the systems, providing teaching quality monitoring and evaluation, and big data analysis for both universities and its affiliated institutes. On the other hand, the data generated by the system can be pushed to the data center of the university.
Immersive ERP Experiment Based on 3D-Reconstruction Model of Panoramic Images
Authors: Huang Weibo , Wu Runlong , Kong Shuying
Published: August 2022

This study extends the application field of VR technology, and studies on the physical image problem of inventory management in ERP immersive experiment under VR technology, using the SSD block matching algorithm and the panoramic image in-depth information extraction algorithm to extract the two-dimensional in-depth information in the panoramic images. Then we reconstructed the object in 3D. The results show that the image reconstructed in 3D is clearer, more stereoscopic, and interactive, which solve the problems of low resolution, distortion, and low interaction in ERP virtual teaching environment, while using multimedia and camera roaming to enhance students’ immersive experience, achieve high-precision, real scene, better virtual teaching environment interaction. It can be seen that the immersive ERP experiment based on VR technology is conducive to improving students ’professional ability and docking ability, as well as improving students’ overall cognitive ability and operation ability of the ERP system.
Investigation of the Educational Practice of Normal College Students Based on the “Double Tutor System”
Authors: Qin Lanyan , He Jisheng , Fu Yuehong , Li Fangping
Published: August 2022

In order to improve the training effectiveness of normal students, Xiangnan University actively explored the “double tutor” mode of joint training of normal students by college teachers and primary and secondary school teachers, providing joint guidance for normal students in educational probation, educational practice and other processes. In order to understand the current situation of normal students’ educational practice under the “double tutor” mode, an investigation was carried out through questionnaires and interviews. The results showed that normal students generally benefited a lot from the “double tutor” guidance mode. At the same time, there were also problems such as insufficient preparation for educational practice and the narrowness of guidance content. Considering the training of normal students in the future, it was necessary to further clarify the responsibility of double tutors, pay attention to the cultivation of students’ professional and practical skills, and promote the further reform and innovation of normal education in colleges.
Research on the Transformation of Enterprise Financial Personnel in the Era of Big Data
Authors: Xiao Yuan , Chen Xuan
Published: August 2022

The advent of the big data era is both an opportunity and a challenge for financial personnel. It has changed the accounting process and strengthened the function of accounting posts to a certain extent. Financial transformation has become an important topic for enterprises to improve their management level and competitiveness. It is necessary to explore the trend and path of financial transformation. Taking the big data application of Handu Group as an example, this paper analyzes the impact on financial organizations and financial personnel, and provides a reference for the transformation of enterprise’s financial personnel. Big data will cause changes in organizational structure and personnel structure. Accountants should not only change their ideas, but also constantly improve their work quality and efficiency with the help of informatization. Enterprises should promote the transformation and development of accountants to meet the new requirements of enterprise’s financial management in the context of cloud computing. Financial personnel of enterprises should comply with the development of the trend of the times and make full use of various learning channels to supplement the skill requirements of big data and cloud background for financial work.
Detection Method of Computer Room Personnel Based on Improved Swin Transformer
Authors: Na Qiong-lan , Su Dan , He Hui-min , Yang Yi-xi , Zhang Shi-jun , Wang Yi-fei , Ma Yu-jia
Published: August 2022

The accurate detection of computer room personnel can bring great convenience to computer room management and computer room inspection. Swin Transformer is used in object detection and achieves excellent detection performance. In this paper, Swin Transformer is used as the baseline to achieve accurate detection of computer room personnel. This paper mainly makes the following two contributions:1) In this paper, a practical self-attention method is designed. The channel interaction module is used in the self-attention calculation to solve the problem of local window self-attention lacking orientation awareness and location information. Reduce the size of input tokens through depth-wise convolution to reduce the complexity of self-attention calculation. 2) Use a balanced L1 loss and configure the weights of different stages of loss in the total loss function to solve the problem of imbalance between simple samples and difficult samples. Compared with the original Swin Transformer, the improved method improves the detection accuracy of mAP@0.5 by 3.2%.
The Exploration of the Teaching Reform in the Course of “Drawings Recognition in Construction Engineering” for the Veterans Under the Background of “1+X” Certificate System: Take a Private University in Hainan Province as an Example
Authors: Hu Faxin , Chen Yuanyuan
Published: August 2022

A private college in Hainan Province is exemplified to introduce the construction logic of the school’s civil engineering group who is offered basic courses of “Architectural Drawing Recognition and Construction” and “Engineering Drawing”. The veterans are faced with the dual pressure of both work and study, and how to get the veterans to pass the “1+X”construction engineering drawing examination is a difficult problem for the majority of educators. Due to the limited offline teaching hours, the veterans must actively promote the integration of course and certificate. The list introduces the comparison of the course setting and teaching content before and after the “1+X” course and certificate integration, which reflects the professional skill level standards for construction engineering drawings after the course certificate integration. At the same time, it constructively explore the practice of integrating Revit and BIM civil engineering measurement GTJ2021 software into the course of “Architectural Drawing and Construction”. Finally, the dilemma and breakthroughs of implementing the “1+X” certificate of construction engineering drawing recognition are proposed from the level of students, teachers and enterprises.
Improvement in Organizational Effectiveness Under the Background of Reform of State-Owned Enterprises: A Pilot Work of Assessment of Institutional Effectiveness of the State Grid Corporation of China
Authors: Chen Peng , Yan Wenhao , Liu Ai’sheng , Ma Xin , Zheng Tiantian , Tan Yanting
Published: August 2022

As a research hotspot in recent years, the improvement in institutional efficiency provides a new reference for the reform of state-owned enterprises and the development of new enterprises in China. The purpose of this study was to explore the value and significance of institutional efficiency in the practice of state-owned enterprises. On the basis of relevant research at home and abroad, this study took the State Grid Corporation of China “institutional efficiency evaluation pilot work” as the key case. By constructing the institutional efficiency model, it was found that a more reasonable application of the model could bring more benefits to enterprises. At the same time, under the same enterprise, different business models used different performance models. The findings of this study might bring value to the development of modern enterprise organizations and hence benefit subsequent research.
Analysis of Risk Factors of Fresh Agricultural Product Supply Chain Based on Grey Correlation Degree – Take Chengdu as an Example
Authors: Wang Cheng , Wu Yonggang
Published: August 2022

The purpose of this paper is to provide a reference for risk assessment and prevention of the fresh agricultural product supply chain in Chengdu. The risk factors of fresh agricultural products supply chain in Chengdu are empirically analyzed by using the grey correlation method, and the screening and sorting are carried out. According to the calculation results, it is concluded that the main risk factors are supply risk, logistics risk, demand risk, production risk, cooperation risk, etc., and the reference value provided can meet the status quo.
Development Status and Trend Analysis of Internet of Medical Things Industry in China
Authors: Jiao Jian
Published: August 2022

This article analyzes the development status, development trend and prospects of China’s Internet of Medical Things (IoMT) industry from a macro perspective. Our survey mainly includes: analyzing the necessity and urgency of China’s medical system reform from the various dilemmas faced by China’s medical system, and analyzing the development of the IoMT industry based on the current basic conditions of development of the Internet of Things (IoT), information technology and background of COVID-19 epidemic. Opportunities and the evolution of China’s IoMT policy were also analyzed. Moreover, from the five aspects of medical industry informatization, Internet hospitals, smart wearable devices, medical AI industry and medical industry digitization, the development status and trends of China’s IoMT industry are analyzed. Finally, it looks forward to the development prospects and directions of IoMT industry for health care in China.
A Multiprocessing Framework for Heterogeneous Biomedical Embedded Systems with the Proposal of a Finite State Machine-Based Architecture
Authors: Tian Xiaohe , Vai Mang I.
Published: August 2022

The applications of heterogeneous embedded systems for biomedical engineering are promising, as quick response of biomedical systems is often required due to the life-saving nature of biomedical engineering, and multiple devices with completely different cores and designs can be involved in a single patient. In this paper, we propose a multiprocessing framework and then, with regard to the framework, we propose an architecture for heterogeneous embedded systems that uses finite state machines (FSMs). A multithreading method on an electrocardiogram (ECG) software is implemented as the verification of our framework.
A Comparative Study of Intercultural Communication in China and Japan
Authors: Zhang Fengyun , Li Yan
Published: August 2022

This paper presents the current situation of intercultural communication research in China and Japan in terms of the publications, theoretical constructs, the activities of the Institute and the configuration of intercultural communication courses. The purpose is to identify the strengths and weaknesses in comparison, and then to explore feasible approaches for the development of intercultural communication research in China. It is found that China can further promote the research in this field by increasing funding for theoretical research, introducing classic original works, involving professionals in translation and encouraging multidisciplinary and sustainable development.
Research on Comprehensive Reform of Education Mode of Computer Specialty in Colleges and Universities in the New Engineering Era
Authors: Wang Jun , Luo Dongxu , Ma Jiying
Published: August 2022

The construction of new engineering is an important part of higher education reform in the new era. The construction of new engineering will accelerate China’s transformation from a big country of engineering education to a powerful country of engineering education. Therefore, this paper puts forward a “new model” of talent training in engineering education. In the process of building first-class computer majors, taking engineering certification as an opportunity to promote the construction of first-class computer majors, taking the practice base as the tentacle, and creating a practice system under the real scene, through the “Trinity” talent training mode, from talent training scheme design to curriculum system construction, from teacher team construction to first-class curriculum construction, from student training to ideological and political construction, it has opened the deep integration of industry, University and research A good mechanism for collaborative education, so as to improve students’ abilities in all aspects.
Collaborative Control of Multi-Region Urban Traffic Boundary Based on the MFD
Authors: Xu Yonghong
Published: August 2022

The increasing number of urban motor vehicle travel has brought more and more serious urban road traffic congestion in single region predicament. In order to study the traffic control problem of single-region urban network, a macroscopic model of traffic flow in urban region was constructed based on the macroscopic basic graph (MFD) theory to predict the traffic congestion pattern in urban region. In order to better explore the dynamic boundary control points, the queuing overflow of boundary sections was analyzed, and the regional boundary control strategy of real-time flow and queuing dynamics was given according to the real-time boundary morphology. In the case of improving and adjusting the signal timing of the input traffic flow at the boundary intersection, the regional traffic flow can be developed in a favorable direction, thus reducing the probability of overflow problems in the boundary section of the region, and contributing to the improvement of the overall operation efficiency of the region.
Solar Powered Ice Maker System in Karimunjawa Island, Indonesia
Authors: Indartono Yuli Setyo , Mustikaningtyas Andhita
Published: August 2022

The solar-powered ice maker was developed in Kemujan, Karimunjawa island, Indonesia. It was powered by 6.66 kWp of solar PV, 19.2 kVAh battery storage, as well as 2 kW of solar ice maker machine, and connected into the utility grid (PLN). Solar energy is applied in this system to minimize utility grid consumption, which is produced by a diesel generator. The hierarchy of the energy supply was PV, batteries, and PLN, respectively. The system is capable to produce 180 kg of ice per production cycle, with a production cycle duration of roughly 20–27 hours. On cloudy days, the renewable energy penetration is around 15–19%. The COP of the ice maker machine is 1.02 and 1.45 for production cycle with ambient brine water temperature and low brine water temperature, respectively.
Lightweight Gesture Pose Estimation Based on CPM Algorithm
Authors: Wang He , Yang Qingjiang , Wang Qiang , Yu Liang
Published: August 2022

With the experiential enhancement of artificial intelligence products, gesture estimation, as a classic computer vision task, has a wide range of application scenarios. Aiming at the current network model that needs to be lightweight in mobile smart products, this paper designs a lightweight gesture pose estimation model based on the CPM (Convolutional Pose Machine) multi-stage human pose estimation network. A comparative experiment based on the RHD open-source data set was conducted to compare and analyze the lightweight CPM gesture estimation model while ensuring accuracy while effectively reducing the amount of model parameters, which provides a basis for the development of real-time mobile terminal gesture pose estimation.
Analysis of the Wear Mechanism of High-Speed Transmission and the Prediction Model
Authors: Chen Jin , Wang Jun , Yu Guowei , Zhang Qiqi , Zhang Hongtao , Zhao Dongzhi
Published: August 2022

Wear is an important factor that determines the normal functioning of high-speed transmission. This study aimed to analyze the stress distribution of high-speed transmission using finite element software and the principle of wear reliability. The weak parts where the stress was concentrated were identified. Tests were performed under different conditions using a uniform design. Thus, the major factors influencing the wear prediction model were identified as surface hardness of material, load, and sliding velocity. A mathematical model for wear prediction was then established using the partial least squares method. Experimental verification was performed, and the high precision of the prediction model was confirmed.
Game Analysis of Individual Environmental Law-Abiding from the Perspective of Law and Economics
Authors: Fa Lina
Published: August 2022

The game of environmental issues comes from the restrictions of legal or moral factors on people’s environmental needs. In order to effectively solve the problem of environmental pollution and promote enterprises to consider energy conservation and emission reduction based on cost. In this paper, the method of law and economics is used to analyze the change of wood factory game. The introduction of punishment mechanism and reward mechanism proves that only when both parties comply with the law can cost be saved to a greater extent, and when one party violates the law, one party will face serious cost loss. This suggests that we should pay attention to the role of rewards and punishments of environmental legal leverage, and in the subsequent improvement of environmental laws and regulations, we should refine the environmental penalty policy and environmental subsidy policy through environmental taxes, payment of pollution charges and other ways.
Restoration Effect Evaluation of Artificial Reefs Based on Bayesian Networks
Authors: Lv Xin , Zhang Yifei , Fang Xin , Hou Zonghao
Published: August 2022

To meet the increasingly urgent need for ecological restoration effect evaluation, the ecosystem health status of reefs was described, and an ecosystem health evaluation model of artificial reefs (ARs) based on Bayesian networks (BNs) was established. By comparing the probability of the ecological health status between restored areas and control areas, we assessed the AR ecological restoration effect of the Qinhuangdao project in 2012. The results show that this project had a remediating effect in May and September, with clear repair effects on the water environment, sediment environment, and fishery resources. The sensitivity of each indicator was calculated, and organic carbon and benthos biomass was identified as the most sensitive factors. This study will provide the basis for the further development of restoration measures.
Three-Dimensional Simulation of the Effect of Operating Conditions on the Performance of the Air Ejector
Authors: Han Lifu , Liu Daoqi
Published: August 2022

Temperature and pressure as two important working conditions of the air ejector are very important to its working performance. Taking the air ejector installed in a power plant as an example, and using ANSYS-FLUENT software, the three-dimensional simulation of the operation of the air ejector under different pressure and temperature conditions is carried out, and the relations between pressure, temperature, inlet gas flow rate and ejection coefficient are given. The results show that the working conditions of pressure and temperature have some influence on the performance of the air ejector. It is important to control the working conditions of the air ejector.
CFD-Based Spherical Fiber Filter Structure Performance Simulation Research
Authors: Wang Liang , Zhao Xunyuan , Wu Jingjian , Sun Yuyang , Wu Mingchao , Zhang Kai
Published: August 2022

Spherical fiber filter is an important water purification device under the coal mines. When the thickness and porosity of its internal filter layer changes, the filtering performance will also change. In order to study the effects of the filtration performance of the porosity and the thickness of the lower filter layer, this article uses SolidWorks for modeling and ANSYS CFD (Computational Fluid Dynamics) numerical simulation technology for simulation analysis. The conclusion is obtained through simulation research: The filter layer porosity above the fiber filter is 0.7, the porosity of the filter layer below is 0.6, And when the filter layer thickness of the porosity of 0.6 accounts for 30% of the thickness of the entire filter layer, the filtering performance is the best. At this time, the pressure drop in the filter will not be too large, causing too much energy loss. And the filtration speed will not be too small and cause too low efficiency.
Deep Learning Based Thermal Stress and Deformation Analysis of Satellites
Authors: Cao Zeyu , Peng Wei , Zhang Xiaoya , Yao Wen
Published: August 2022

When analyzing the thermal stress and deformation of satellites in orbit, the traditional numerical methods, such as the finite difference and the finite element, are expensive and time-consuming. To improve computational efficiency, we propose a deep-learning based surrogate to immediately predict the thermal stress and deformation of a satellite with a given temperature field, where the U-Net is employed to learn the end-to-end mapping from the temperature field to the thermal stress and deformation. A data set with less smooth temperature fields is generated to augment the training data, by which the accuracy and generalization performance of the model is significantly improved. Combined with a rapid temperature prediction method, the model predicts the thermal stress and deformation of a satellite motherboard given several heat sources, verifying the feasibility and effectiveness of the proposed method.
Construction Strategy of Informatization of Rural Ethnic Cultural Archives Based on Big Data
Authors: Yang Qi , Wang Shilong , Zhu Jinghuan
Published: August 2022

Rural ethnic cultural archives have great potential in serving rural revitalization. Big data technology improves the application ability of big data by improving “processing ability”, and constructs a “big data + archives management” mechanism, which can give more convenient play to the value of archives. Starting from the problems existing in the construction of archives informatization talents and archives digitization technology system, this paper puts forward the information construction strategies of rural ethnic culture archives, such as accelerating the transformation and upgrading of rural ethnic cultural archives management, innovating the effective path of the development and utilization of rural ethnic cultural archives resources and so on.
Building a digital republic to reduce health disparities and improve population health in the United States
Authors: Muennig Peter , Pabayo Roman , Courtin Emilie
Published: August 2022

Income, schooling, and healthcare are key ingredients for health, but most government programs that are designed to provide these social benefits are difficult to access. While many Americans struggle to pay taxes, few understand how difficult it can be for needy Americans to enroll in public social benefits such as Temporary Assistance for Needy Families (one of many income support programs), Pell grants (one of many tuition assistance programs), or Medicaid (one of many public health insurance programs). Perhaps because such programs are difficult to enroll in, only a fraction of needy families receive the social benefits to which they are entitled. That percentage is smaller for those most in need (e.g., those with disabilities or caregiving responsibilities). In this paper, we discuss a novel method for improving health while also improving privacy, reducing fraud, and setting standards for data use. Specifically, we propose a digital identity card that allows for the creation of a “digital republic” in which enrollment in social benefits can be automated, and the benefits can be targeted to those most in need.
Clausius’ thermodynamics, a theory of motive power from disorganized energy
Authors: Wang Lin-Shu
Published: August 2022

Thermodynamics is the theory of energy resulting from the conceptual differentiation of caloric, circa 1850-1865, into energy (including both organized and disorganized energies), entropy, and heat (a disorganized form of energy)—one key part of the conceptual differentiation is the relation between organized energy and disorganized energy. The theory is often referred to as the Clausius-Kelvin theory as a single theoretical system. In actual fact, it is a blend of Kelvin’s contribution and Clausius’ contribution. Clausius’ version of the theory was transformed by Gibbs into Gibbsian thermodynamics, which is the result of a successful conceptual differentiation but one that does not involve the key part of the differentiation. Orthodox engineering thermodynamics is instead an update of energy physics formulated by Kelvin circa 1850-55 based on the _energy premise_, which errs on the “relation between two energies.” As a result, engineering thermodynamics is a defective theoretical system. This paper makes the case that Clausius’ theorem of entropy can be developed for reforming ET into a coherent system by rejecting the energy premise, which is to be supplanted with a what-where duality premise. Getting the relationship between two energies correctly, we shall have a completely different take on the connection between the “consumption of energy” and the surrounding “heat reservoirs.”
PERUBAHAN POSISI BIBIR BAWAH PADA PERAWATAN ORTODONTI DENGAN PENCABUTAN PADA MALOKLUSI KELAS II DIVISI 1
Authors: Suryaprawira Albert
Published: August 2022

Latar belakang : maloklusi  adalah kelainan pada gigi dan mulut yang terjadi sejak masa anak-anak pada periode gigi bercampur.  Perawatan ortodonti tidak hanya ditujukan untuk gigi saja, akan tetapi juga untuk memperbaiki penyimpangan morfologis dan komplek dentofasial. Kasus Kelas II Divisi 1 memiliki angka insidensi 20 persen. Dalam perawatan ortodonti, untuk mendapatkan ruangan salah satu metode yang digunakan adalah pencabutan gigi premolar yang dapat mempengaruhi kondisi jaringan lunak mulut terutama posisi bibir bawah pasien ke arah yang lebih mundur dari sebelum perawatan.  Namun respon dari jaringan lunak memang berbeda pada setiap individu.Tujuan : penelitian bertujuan untuk mengetahui perubahan posisi bibir bawah pada perawatan ortodonti dengan pencabutan. Metode : penelitian ini berjenis analitik observasional dengan sampel 20 pasien yang diukur posisi bibir bawahnya menggunakan metode analisa sefalometri E-Line yang kemudian diuji dengan statistik T berpasangan. Hasil : didapatkan p value sebesar 0.000 artinya terdapat  perubahan  posisi  bibir  bawah  terhadap  garis E-Line . Rata-rata (mean) posisi bibir bawah terhadap  garis E-Line  sebelum perawatan adalah 1 (standar deviasi 0.214) dan setelah perawatan adalah sebesar -0.7 (standar deviasi 0.202). Maka secara statistik terdapat  perubahan  posisi  bibir  bawah  terhadap  garis E-Line ke arah posterior. Kesimpulan : pada kasus ortodonti dengan pencabutan gigi premolar atas kanan dan kiri yang mengakibatkan adanya pergerakan gigi ke arah posterior maka terdapat perubahan posisi  bibir  bawah  terhadap  garis E-Line ke arah posterior  pada pasien dengan Maloklusi Kelas II Divisi 1.
PERILAKU PEMELIHARAAN KEBERSIHAN MULUT PENGGUNA ORTODONTI CEKAT (Penelitian pada Murid Kelas 12 SMA Santa Laurensia Tangerang)
Authors: Pakpahan Evie Lamtiur , Amelia Poppy
Published: August 2022

Latar belakang: perawatan ortodonti dengan menggunakan peranti cekat ortodonti mempermudah terjadinya akumulasi plak pada gigi pasien sehingga meningkatkan risiko karies gigi, gingivitis, dan penyakit periodontal. Pasien pengguna peranti ortodonti cekat harus memiliki perilaku pemeliharaan kebersihan mulut yang ideal untuk mengurangi risiko tersebut. Tujuan : mengetahui perilaku pemeliharan kebersihan mulut pengguna ortodonti cekat pada pasien kelas 12 SMA Santa Laurensia didarerah Tanggerang. Metode : jenis penelitian deskriptif dengan desain cross sectional. Subjek penelitian sebanyak 21 murid SMA Santa Laurensia pengguna ortodonti cekat didapatkan dengan teknik total sampling. Cara kerja penelitian dengan membagikan kuesioner seputar perilaku pemeliharaan kebersihan mulut. Hasil : pengguna ortodonti kelas 12 SMA Santa Laurensia Tangerang didominasi perempuan, 90,5% menyikat gigi dua kali sehari. Sebesar 57% murid menggunakan sikat gigi konvensional, 38,1% sikat gigi khusus ortodontik, dan 4,8% sikat gigi elektrik. Mayoritas murid menggunakan pasta gigi ber-fluoride. Persentase penggunaan alat penunjang secara rutin dan berkala berturut-turut sebesar 9,5% dan 66,7% untuk sikat interdental, 23,8% dan 57,1% untuk obat kumur. Tidak ada murid yang menggunakan benang gigi setiap hari, sebesar 57,4% siswa kadang–kadang menggunakan benang gigi. Kesimpulan: murid kelas 12 SMA Santa Laurensia Tangerang pengguna ortodonti cekat menunjukkan perilaku pemeliharaan kebersihan mulut yang cukup baik, namun kepatuhan penggunaan alat penunjang sangat rendah.
GUIDED EXCISION USING CLAMP IN LIP REPOSITION: A NEW INNOVATIVE APPROACH (LAPORAN KASUS)
Authors: Indro RM Norman Tri Kusumo , Simanjuntak Riko , Nelwan Leonard C
Published: August 2022

Latar belakang : lip reposition merupakan perawatan untuk memperbaiki berlebihnya tampilan gingiva saat tersenyum. Gummy smile merupakan diagnosis dari berlebihnya tampilan gingiva pada saat tersenyum, Akan tetapi sering dijumpai kesulitan saat melakukan lip reposition. Tujuan tindakan eksisi pada lip reposisition biasanya  membuat garis panduan pada saat eksisi, Akan tetapi, eksisi pada daerah mukosa alveolar menjadi salah satu hal yang menantang karena alveolar mukosa tergolong licin, Oleh karena itu menjepit dengan klem panjang saat hendak melakukan eksisi dapat menjadi alternatif untuk memandu ketepatan eksisi pada lip reposition dan mempercepat waktu pengerjaan. Laporan Kasus: pasien datang ke praktek pribadi dengan alasan keluhan estetik. Dilakukan pengukuran panjang gigi dan tinggi gingival menggunakan sistem Chu. Hasilnya, gingiva pada gigi 13,12,11,21,22,23 menutupi sekitar 2-3 mm  dari CEJ (cemento enamel junction), pada saat terseyum lebar pasien memiliki 5mm kelebihan penampilan gingiva. Pasien didiagnosis gummy smile dan memerlukan Iip reposition .Setelah daerah operasi teranestesi, operator membuat garis vertikal serta melepas pelakatan mukosa alveolar, setelah itu menggunakan klem panjang untuk menjepit dan melakukan eksisi. Kesimpulan: keuntungan dari prosedur ini yaitu mempersingkat durasi operasi, mengurangi resiko eksisi berlebihan dan memaksimalkan penyembuhan primer jaringan lunak. Eksisi yang dibantu oleh klem dapat meningkatkan presisi pada lip reposition.