bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on gearbox fault detection model based on ridge regression and decision tree
Authors: Zhou Jiacong , Chen Qianqian , Zhang Nan , Hua Hanqing , Ni Yangke
Published: September 2023

Gearbox is widely used in mechanical equipment and plays an important role in mechanical transmission. Therefore, it is necessary to detect and diagnose the fault of the gearbox in time. This paper needs to establish a fault detection model of the gearbox to detect whether the gearbox is in a fault state. Because the result can only be yes or no, the ridge regression model is first established. However, because the difference between the original sample data is not obvious, the accuracy of the obtained ridge regression model is low. Therefore, this study extracts the features of the data of the four parts, and defines five indicators: effective value, pulse index, skewness index, margin index and kurtosis index. The decision tree model is established with 70 % of the sample data. Firstly, the depth of the largest tree is set to 5. Secondly, the importance of the feature is determined according to the size of the Gini value, and the fault detection decision tree model is constructed. Finally, the model is tested with 30 % of the test data, and the accuracy is 91.17 %. The precision rate is 88.9 %, and the recall rate is 94.12 %. It is considered that the model is more reliable.
Innovations in Flexible Electronic Skin: Material, Structural and Applications
Authors: Chen Shijiao
Published: September 2023

Flexible electronic skin (e-skin) has emerged as a promising technology for advanced sensing capabilities in applications such as robotics, prosthetics, and human-machine interfaces. The properties of e-skin devices hinge on the selection of appropriate materials and structures, such as sensitivity, mechanical flexibility, and biocompatibility. This article provides an overview of the current state of e-skin research, focusing on the materials and structures used to create e-skin devices. Various materials were discussed in this paper, including conductive polymers, carbon nanotubes, graphene, bacterial cellulose, metal-organic frameworks, ionogels, and self-healing materials, highlighting their unique properties and potential applications in e-skin designs. Additionally, the structures and architectures of e-skin devices were examined, covering aspects such as multilayer designs, hybrid structures, and hierarchical configurations. This comprehensive review offers valuable insights into the development and optimization of e-skin materials and structures, paving the way for the creation of innovative, high-performance e-skin devices for various applications.
Factor Analysis-Based Research on the Influence Factors that are Easy to Ignore for Automotive Energy Saving and Emission Reduction
Authors: Jiang Yuang , Zhao Feiming
Published: September 2023

This paper uses models such as factor analysis for multidimensional information of survey subjects. Through literature research and the actual situation, we identify the factors that the public tends to ignore about energy saving and emission reduction, construct an econometric model to get specific mathematical expressions of the influencing factors, and find out the factors with a higher degree of importance. And based on the model results, we propose targeted suggestions.
Regional Light Pollution Risk Level Measurement Study Based on PCA-EWM Model
Authors: Tian Yizhe , Wang Ziyi , Zhao Meilei
Published: September 2023

Light pollution exerts an influence on environment and poses a great threat to health and safety. In order to measure the light pollution risk level of a certain area, this paper constructs the evaluation index system of light pollution from five aspects: urbanization, industrialization, biology, atmospheric environment and geographical location. Subsequently, PCA-EWM Model is established to calculates the light pollution score of a location. According to the score, three light pollution risk levels are established: high light pollution, moderate light pollution and non-light pollution. Based on the above model, this paper collects sample data of urban community, suburban community, rural community and protected land in the world, and calculate light pollution score in four diverse types of locations. Finally, this paper makes a judgment on the risk level of different locations.
Research on Big Data Power Load Based on Neural Network Prediction Model
Authors: Ji Mingyi , Kang Jiazheng
Published: September 2023

The price of sailboats will change with time and market changes. Reasonable prediction and evaluation of the price of second-hand sailboats can have a certain impact on the price of second-hand sailboats. The better ones in the area are for sale.The paper established the RF_XGBoost second-hand sailboats price prediction model, determined the feature variables from the type of sailboat, regional economy, the random forest algorithm is used to select the feature variables, and the optimization is based on the grid search algorithm after the data normalization process obtained the minimum value.After analyzing the characteristic variables it is found that the region has little influence on the listed price, and thus has little influence on the features. Meanwhile, the Pearson correlation analysis between the variables and the price shows that there is a weak negative correlation consistency between the region and the type of sailing boats.
Review of integrated energy system optimization considering new energy uncertainty
Authors: Chen Yanwu
Published: September 2023

As one of the ways of low-carbon development, integrated energy system enables users to have stable and reliable energy to use through efficient and safe use of energy. However, it should be pointed out that improving IES is a very difficult task, because of the uncertainties in every link from production to use of energy. Firstly, introducing IES and describes the impact of uncertainty on system optimization in the energy industry. Secondly, random optimization, robust optimization and interval optimization are analyzed to identify the advantages and disadvantages of each method. Finally, the future research direction of IES optimization operation was prospected.
The state of the art of electronic power system under different disturbance conditions
Authors: Ren Jiayi
Published: September 2023

As a new generation of electric power system, the electronic power system has advantages such as flexibility and large capacity that the traditional power system does not have, but the high performance is accompanied by the increased difficulty in operation. The characteristics such as multi-coupling and nonlinear make the situation to be considered by the electronic power system more complicated, and the application and analysis will be hindered. In this paper, the stability analysis of electronic power system will be discussed from the large disturbance, small disturbance and power imbalance.
Stark Effect of Electron-Proton System with Computer-generated Visualizations
Authors: Mo Jieqing
Published: September 2023

The energy level and wave function obtained by solving the Schrödinger equation are extremely important in quantum mechanics. In this study, the solution to the Schrödinger equation of the electron-proton system by separation of variables was briefly described and the visualizations of the various solution were generated by Mathematica. The perturbation theory was discussed with the exclusion of the correction terms coming from the degenerate subspace. Applying the perturbation theory to the wavefunctions of the electron-proton system to study the Stark effect, the perturbation Hamiltonian is a constant electrostatic field. For the principal quantum numbers n=1, n=2 and n=3, this paper obtains the energy corrections to the first and second degree, the corrections of the wavefunction to the first degree. The visualizations of the perturbed wavefunctions were obtained by setting the summation limits k=20 and other parameters to 1. The visualizations of various unperturbed-states and perturbed-states were generated by Mathematica version 13.2.
Quantum Harmonic Oscillators in One and Two Dimensions
Authors: Xia Guanghan
Published: September 2023

The Schrödinger equation is a significant achievement on the development of quantum mechanics. By solving the Schrödinger equation, the fundamental behaviors and properties of a microscopic particle can be found in one- to three-dimensions. The article focuses on the derivations of quantum harmonic oscillators in one dimension by solving second order-differential equation. The wave functions, probability densities under different energy levels are presented. The results can be used to estimate different forms of continuous potential experienced by an oscillator. By calculating the uncertainty relation of the oscillator under one specific excited state, the general relation  can be confirmed. Based on the output, by splitting the variables, the two-dimensional harmonic oscillator can also be derived. The degenerate energy levels are presented as . Numerical simulations are made to visualize those results and suggests the relation of energy levels and number of maxima of the probability densities.
Analysis of the Factors Influencing Residents' Household Energy-Saving Behavior Based on TPB-NAM Integration
Authors: Zhang Shouxin , Wang Meiping , Zhu Haiyong , Fan Min , Qiao Fa , Liu Wenqing
Published: September 2023

Domestic energy consumption is the second largest source of carbon emissions in China, and it is important for residents to implement household energy-saving behaviors to reduce their domestic carbon emissions. In this context, based on questionnaire data from 436 residents in different cities of Shandong Province, structural equation modeling was used to analyze the influencing factors of residents' household energy-saving behaviors and their mechanisms of action under the framework of TPB-NAM integration theory. The results show that: (1) Personal norms, behavioral attitudes, subjective norms, and perceptual behavioral control all influence residents' household energy-saving behavior through the mediation of residents' household energy-saving behavioral intentions, with the personal norms path coefficient of 0.762 having the most significant positive effect on household energy-saving intentions. (2) Awareness of consequences is an important factor in determining the implementation of household energy-saving behavior, which can positively influence personal norms through direct or indirect effects, and thus influence residents' behavioral intentions and household energy-saving behavior. (3) Subjective norms can both directly drive residents' intentions to save energy in their homes and act as antecedent variables for behavioral attitudes and perceptual behavioral control to drive behavioral intentions to implement home energy efficiency.
Evaluation of Urban Rail Transit Station Effectiveness Based on TOD Principle -Taking Shanghai as an Example
Authors: Jia Junwen , Wang Xizheng , Dang Zenglin
Published: September 2023

The rapid development of China's cities has led to a variety of traffic problems. Building a public transportation-oriented urban space development model and playing the role of rail transit in urban development are important measures for the upgrading and construction of China's cities. In order to evaluate the development effect of TOD mode of existing rail transit stations, this paper combines the concept of TOD development and 5D principles to establish a set of urban rail transit station effectiveness evaluation index system, determines the four first-level indicators and 13 second-level indicators based on transportation, society, economy and environment, uses the analytic hierarchy method to determine the weights, and analyzes 30 stations of Shanghai Metro Line 2 as a case study.Based on the Arcgis spatial analysis technology, the data is organized and the indexes are calculated. The sites with the strongest TOD ability are Nanjing East Road and Jing'an Temple, the worst sites are Pudong International Airport and Haitian Third Road, their gap mainly lies in the level of economic development around the stations and the degree of crowd gathering,and finally the paper combined with the evaluation results to give development suggestions, this method can be used to study the level of development of rail transit stations in different cities and different regions. This method can be used to study the development level of rail transit stations in different cities and regions, and give suggestions for improving the TOD situation of stations.
Schiff-linked prodrugs of pH-responsive nanoparticles to facilitate drug delivery
Authors: Qi Fandi
Published: September 2023

Endosomal pH-responsive micelle nanoparticles were prepared by self-assembly of amphiphilic polyethylene glycol Schiff-doxorubicin (PEG-Schiff-DOX) precursor drugs. The free DOX could be encapsulated in the hydrophobic core of the nanoparticles. These nanoparticles exhibited decompose rapidly in weakly acidic environments, but can keep excellent storage stability under normal conditions. Due to the differences in drug release mechanisms and rates between encapsulated DOX and linked DOX, programmed drug release behavior was observed, which may result in higher intracellular drug concentrations and longer duration of action.CCK-8 analysis showed that the nanoparticles showed better antitumor activity than free DOX. These nanomedicines based on precursor drugs have great potential for the development of transformational DOX agents for cancer therapy.
Anticancer Potential of Artemisinin and Its Derivatives
Authors: Zhou Qianyi
Published: September 2023

Chinese scientist Tu Youyou discovered artemisinin in the 1970s, and she extracted it from Artemisia annua. The greatest contribution of artemisinin is to the treatment of malaria, and in 2015, Tu Youyou received the Nobel Prize in Medicine for her discovery. This article presents recent studies showing that artemisinin and its derivatives have some anti-cancer effects in addition to treating malaria. Cancer, the disease with the highest mortality rate, has been the subject of human efforts to find ways to overcome it. Artemisinin was already found to slow down the growth of tumor cells through various mechanisms, such as by preventing cell invasion, promoting apoptosis, causing cell cycle arrest, and controlling the tumor microenvironment, but further studies are needed to demonstrate its better efficacy and safety. This article first describes the basic structure and physical and chemical properties of artemisinin, then describes the various anticancer mechanisms of artemisinin and its derivatives, as well as the clinical trials that have been completed for the study and proof of these mechanisms, and finally describes the anticancer effects of artemisinin in combination with other drugs.
Pharmacology and Therapeutic Effects of Psilocybin
Authors: Du Xuehan
Published: September 2023

Psilocybin, a psychoactive alkaloid with hallucinogenic properties, exists in a variety of hallucinogenic mushrooms. As a study tool to imitate psychosis, psilocybin has aroused a lot of interest in the biological community due to its various possible therapeutic benefits. It is also a very popular and widely misused natural hallucinogens with distinct metabolism pathways and toxicity. In this paper, the metabolism and mechanism of psilocybin were summarized, and the toxicology and pharmacology of psilocybin were discussed in detail, and the positive effects of psilocybin on psychological illnesses like depression, addiction, anxiety, and obsessive-compulsive disorder were gathered and sorted out, and the drug's therapeutic potential for mental and psychological illnesses was systematically clarified. Understanding the mechanism and therapeutic ability of psilocybin is of great significance to its potential development. As a hallucinogenic agent with low toxicity and no side effects, its effective application in the treatment of psychological and mental diseases can provide new ideas for the treatment of various diseases.
Advances in Compounds that Accelerate Alcohol Metabolism
Authors: Li Yiyang
Published: September 2023

Ethanol is a popular beverage ingredient worldwide and plays an important role in everyday life. The use of ethanol drinks can make a person feel happy, reduce anxiety, and at the same time have a certain addictive nature. However, with the increasing use of ethanol, a series of chronic diseases caused by ethanol, such as ethanol poisoning, have gradually become the focus of attention. The frequency of diseases of the digestive system, nervous system and cardiovascular organisms caused by ethanol and its metabolites acetaldehyde and reactive oxygen species (ROS) is also increasing. Currently, many potential compounds that accelerate alcohol metabolism are still under development, anti-alcohol drugs are rare, and the mechanism of action remains controversial. This article first introduces the metabolic process and distribution of ethanol in the human body, including a small number of gastric first-pass metabolism and major liver metabolism. The roles of alcohol dehydrogenase, catalase and cytochrome P450, the three main oxidative metabolic enzymes, in ethanol metabolism are briefly introduced. Some mechanisms of action of alcoholism and related diseases are expounded, and then the types and pathways of polyphenols, polysaccharides, flavonoids, amino acids and other compounds to promote ethanol metabolism and protect ethanol damage were summarized according to these mechanisms. It is hoped that this paper can provide references for subsequent research.
Demand Prediction of Emergency Supplies in Campus Public Health Emergencies Based on GM-GA-BP Neural Network
Authors: Yue Yuhan
Published: September 2023

Medical alcohol is the most widely used and highly demanded emergency supply in both campus public environments and medical settings. It has a sharp contradiction between supply and demand in the event of a public health event. For this reason, forecasting the demand for medical alcohol is crucial for averting and managing unexpected public health issues on campus. An enhanced GM-GA-BP neural network prediction model was put out in this article. The benefits of the equal dimension and new information complement GM(1,1) model's new and old information replacement and small sample data prediction are combined. Following data fitting and modification, a BP neural network based on conjugate gradient algorithm is built to carry out training and prediction. Meanwhile, the connection weight and threshold were globally optimized through genetic algorithm.To forecast the demand for medical alcohol at a certain university in Yibin City from 2022 to 2023, a thorough comparison of a combination model vs the conventional BP neural network model was made. The results showed that the MAPE had been decreased by roughly 3% and the absolute percentage error was as low as 0.12686%. These findings have provided a scientific reference for the university to improve its emergency material reserve strategy represented by medical alcohol.
Thermo-tunable Injectable Thermosensitive Hydrogel and its Application as Protein Carriers
Authors: Xie Pengfei , You Lifang , Ma Yahao , Chen Tianyin , Wang Xiaoying
Published: September 2023

It is known that polymer chemistries determine mechanical and physical properties of hydrogels and thus its drug delivery performance. In order to achieve desired drug release behavior, triblock copolyester PCT-PEG-PCT with proper hydrogel formulation has to be synthesized. This research has demonstrated a way to adjust hydrogel mechanical and gelation properties by simply physically mixing amphiphilic copolymers with different composition to achieve desired protein carriers. Tri-block copolymer poly (CL-co-TOSUO)-PEG-poly (CL-co-TOSUO), briefed as (PCT-PEG-PCT) with different composition have been successfully synthesized. These copolymers are thermosensitive and can form hydrogels in aqueous solution. Copolymers with higher percentage hydrophobic PCT blocks show higher mechanical stiffness and yet lower solubility. To reduce the crystallinity of the hydrophobic block and soften the hydrogel, the copolymer with long PCT blocks was physically mixed with ones with shorter PCT blocks. The polymer mixture demonstrated a moderated mechanical stiffness and desired solubility. The polymer mixture also achieved a gelation temperature at 37°C, which is desirable for drug delivery. Macromolecular drug, bovine serum albumin (BSA) was used as model drug for its release study. This protein drug was successfully loaded into the polymer mixture, and the drug release study shows the polymer mixture is able to extend a stable drug release for over 48 hours. This result confirms physical mixing of PCT-PET-PCT thermosensitive copolymers can tune gel properties and improve drug delivery performance without redesigning and synthesizing new polymers.
Effect of Plant-based Diet on Type 2 Diabetes Risk: A Review of the Literature
Authors: Liu Ruixin
Published: September 2023

With the growth of global economy, people's dietary quality requirements and dietary quality level are also improving, but there are more bad diet and living habits. As a chronic metabolic disease, the incidence of diabetes has been increasing in recent years, which has seriously affected people's life quality and increased the economic burden of families. Adjust their own living habits, ensure a healthy diet and rest, in order to effectively reduce the incidence of diabetes. Plant-based diet consists of a variety of ingredients, including grains, nuts, vegetables and fruits, etc. Through scientific dietary nutrition combination and appropriate formulation, it can play a good role in helping the human body. Based on domestic and foreign research literature, this paper discusses the improvement of plant-based diet on type 2 diabetes risk, and puts forward suggestions on related diets and nutritional ways, in order to provide guidance for people's dietary habits.
Analysis of Influencing Factors of Water Flooding Productivity in Tight Oil Reservoirs
Authors: Liu Ying , Wang Kai
Published: September 2023

With the continuous development of tight oil resources in China, water flooding has become the main development method of major oilfields. However, due to the influence of formation burial depth, cement type, cementation mode and other factors, the fluid flow is difficult, which affects the flow characteristics of the fluid in the reservoir. Based on the analysis of microscopic pore structure characteristics of different levels of reservoirs, combined with the test results of reservoir fluid physical properties, the macroscopic, microscopic, dynamic and static characteristics of reservoirs are systematically summarized, and the effects of cementation degree, reservoir damage, flow threshold and other factors on single well productivity are classified and evaluated. By analyzing the distribution law of water flooding remaining combined with the characteristics of reservoir microscopic pore structure, the characteristics of current productivity influencing factors are comprehensively analyzed.
Analysis and Method Overview of Photovoltaic Cell MPPT Technology
Authors: Du Maoxin
Published: September 2023

This chapter mainly analyzes the principle of photovoltaic cell MPPT technology and various tracking algorithms, and compares and analyzes the three traditional classical tracking algorithms, perturbation observation method, incremental conductance method, constant voltage method, etc., as well as various improved algorithms evolved on their basis. At the same time, it also analyzes the intelligent control methods based on soft computing that have been studied more in recent years. For example, various intelligent control methods based on neural network control and fuzzy control. The advantages and disadvantages of the above methods are compared and analyzed. According to the shortcomings of these methods, the author puts forward his own improvement strategy, and verifies the superiority of the improved method by comparing and analyzing the improved method with the traditional method.
The Effect of Gratitude Intervention on Life Satisfaction of University students: The Role of Self-Esteem
Authors: Gao Juanyuan , Gao Xu
Published: September 2023

Gratitude education is very common in traditional Chinese education. Gratitude is both an emotion and a trait (Rash et al.,2011). It is a tendency to perceive benefits bestowed by others or by some impersonal source, and accompanied by positive, social emotions (Lin C.C.,2015). As a trait, gratitude draws attention to positive outcomes in life (Emmons et al.,2019). Furthermore, this project chooses life satisfaction and self-esteem as variables in the research. ‘Life satisfaction is a subjective evaluation of overall quality of life’，and is the key dimension of subjective well-being (Proctor et al.,2009). Self-esteem is a sense of individuals’ general value or worth from his or her aspects (Rosenberg, 1979).  Self-esteem is commonly considered as the “feeling that one is good enough” (Orth & Robins,2014). Life satisfaction and self-esteem are often used in studies of gratitude，but few of them find the complicated correlations between these three factors. So the purpose of this project is to explore whether gratitude interventions can enhance gratitude and subsequently increase life satisfaction and self-esteem.
Measurement of Happiness: Refined Approaches to the Evaluation of Happiness as a Complex Emotion
Authors: Zhang Annie
Published: September 2023

Happiness as a sophisticated human emotion has been perplexing the psychological community due to the numerous challenges that stand in the way of achieving accurate objective measurements. Unlike conditions such as depression, where the field of psychiatry has found approaches of measurement through the widely studied neurological system with anatomical structures and neurotransmitters, the indicators of happiness remained unclear for an extended period of time in the psychological field. Hence, the common approaches to measuring happiness in the present day highly depend on self-reports through the form of questionnaires, leading to potential biases and inaccuracies. This paper consists of an overview of the barriers that constitute hardships of measurement, and reviews of literature studies that suggest novel ways of making the measurement of happiness subjective and concrete. With the advancement in the understanding of the neurological, behavioral, physiological, as well as alternative approaches, the measurement of happiness could potentially see a surge in accuracy. It is only with continuous development and sparks of advanced ideas that the concept of happiness can be assured with finer understanding.
Research on the Ecological Mechanism of the Industrial Culture of Nantong City’s Specialty Agriculture
Authors: Qiang Dongqiang , Yuan Jiaojiao , Wang Yanan
Published: September 2023

This study probed into the mechanism of the cultural ecosystem behind specialty agriculture in Nantong City, Jiangsu Province, as well as the interactive and synergistic relationship among various elements through the fieldwork and investigation of six agricultural science and technology parks, four universities, and 15 leading agricultural science and technology enterprises. Nantong’s specialty agriculture is characterized by the distinctive features of leading industries, the beginning of the effectiveness of enterprise clusters, and the deepening of the cooperation between industry, academia, and research. Based on this fact, the study proposes to construct an incentive mechanism to strengthen the cooperation of the “specialty agriculture—cultural ecology” mechanism, which aims to maintain the healthy development of Nantong’s specialty agricultural industry and cultural ecosystem as well as provide experience and an ideal model for other areas of the same type.
Countermeasures to Optimise the Service Quality of Express Supermarkets in Colleges and Universities
Authors: Huang Jing
Published: September 2023

With the rapid development of e-commerce, the campus network shopping group is increasing, which puts forward higher requirements for the operation efficiency and service quality of campus express supermarket. This paper aims at the problems existing in the current university express supermarket service, taking University Z campus express supermarket as an example, constructing express supermarket service quality indicators, designing questionnaires, using SPSS to carry out the validity and reliability test, as well as identifying the aspects that need to be improved in terms of service quality, and through the analysis of the causes, and finally putting forward suggestions for the optimisation of service quality.
Study of the English Translation of the Environmental Description in the Fantasy Novel "Dragon Prince Yuan" from the Perspective of Eco-translatology
Authors: Li Jun
Published: September 2023

Under the background of the era of "going out" of Chinese culture, Chinese online literature has developed rapidly overseas in recent years. As a bridge between Chinese culture and western readers, online literature translation has become a new way to spread Chinese culture. Therefore, the translation of online literature has also received more and more attention from the translation community. The environment is an important element in the novel, and the description of the environment provides the necessary background for the development of the plot of the novel. The book "Dragon Prince Yuan" contains a large number of environmental descriptions, which require special attention of the translator in translation. From the perspective of eco-translatology, discussing this kind of environmental description translation can reveal the characteristics and problems of the translator in transmitting the original function and reproducing the original effect. Based on the perspective of eco-translatology, this paper analyzes and discusses the translation of the environmental description in the Chinese fantasy novel "Dragon Prince Yuan" in order to provide reference for the English translation of Chinese online novels.
Study on the Social Education of European Museums
Authors: Xiang Wenjing
Published: September 2023

As a non-mandatory learning place, museum is different from school education in terms of educational model and function, but its education function cannot be ignored. Through the overall analysis on the characteristics of European museums, their theoretical basis, and their function of social education, this paper aims to illustrate that European museums generally show the following four characteristics: providing interactive and diverse educational programs; marketing education programs in the whole visiting process; emphasizing diverse educational cooperation model; paying attention to all-round experiential learning. It is of great significance for other countries to learn from the advanced experience of European museum education, carry out practice of the social education of museums well, and realize the all-round development of people.
Study on the Teaching Model of Artificial Intelligence Principles Course Based on Discipline Integration and Industry-Education Integration
Authors: Wu Wei
Published: September 2023

Artificial intelligence is one of the most promising and influential fields of science and technology in the current era. How to cultivate high-quality talents with artificial intelligence literacy and ability is an important issue faced by the education sector. This paper designs a teaching model of artificial intelligence principles course based on discipline integration and industry-education integration, and introduces the specific content of this teaching model from two aspects: theoretical teaching and practical teaching. The teaching practice effect is evaluated and feedback is given. The results show that this teaching model helps to improve students’ understanding, interest, practice and innovation of artificial intelligence. This paper has certain reference value and enlightenment for promoting the development and reform of artificial intelligence education.
Study on the Effective Methods of Class Management in Online Teaching
Authors: Zhang Ruoyao
Published: September 2023

The arrival of the new crown outbreak, lead to universities to carry out the "closed not suspended" work task, the teacher at home using network teaching software for students online teaching, the teaching method is very convenient, but the students in the process of class is easy to appear lazy phenomenon, can even to query questions, seriously affected the teaching effect. In order to improve the teaching quality, teachers should focus on the effective methods of managing classes while innovating the teaching means. This paper will analyze the easy problems in the online teaching process, and study the effective methods of management in the online teaching. Hope to provide some reference value for the future online teaching class management.
The Priority Structure behind Overlap of Multi-Person Conversation
Authors: Huang Yuxiao
Published: September 2023

This article explores the priority structure underlying overlapping speech in multi-person conversations. While most research on overlapping talk has focused on resolution and management, there remains a gap in understanding multi-party conversations. Drawing on a self-collected corpus of dialogue materials, the author analyzes existing data to examine the influence of underlying priority structures on overlapping phenomena. By delving into the observable implicit communicative structure and regular characteristics, this study sheds light on the prioritization dynamics in multi-person conversations. The findings contribute to conversation analysis research and enhance our comprehension of the complexities involved in managing overlaps in communication.
Mental Health Status and Countermeasures of College Students in the Mainland and Hong Kong in the Post-epidemic Era
Authors: Jiao Yaoying
Published: September 2023

The study focuses on investigating the mental health status and implementing educational countermeasures among college students in Tianjin Normal University (TJNU) and The Education University of Hong Kong (EdUHK) during the post-epidemic era. This study holds significant importance as It aims to provide a comprehensive understanding of the mental well-being of college students in these regions and identify effective strategies and interventions to address their mental health needs. To accomplish the thesis objectives, an interpretive thesis methodology has been employed in this dissertation.  Educational institutions in Mainland China and Hong Kong should prioritize mental health education and equip students with the necessary knowledge, skills, and support systems to enhance their mental well-being. Establishing comprehensive mental health programs, counseling services, and accessible helplines are essential. Moreover, it is crucial to raise awareness, reduce stigma, and foster a supportive environment that encourages open dialogue and emotional well-being among college students.
The Changing Trends and International Comparison of Chinese Women's Fertility Pattern under Low Fertility Level
Authors: Qi Deng
Published: September 2023

Using data from Chinese national population censuses and 1% population sampling surveys from 2000 to 2020, by analyzing the age-specific fertility contribution rate curve, the Mean age at birth, the Standard deviation in Mean age at birth in different years, and comparing with the transformation process of fertility pattern in developed countries, this paper analyses the changing trends in Chinese women's fertility pattern under low fertility level. The results find that under low fertility level, the growth rate of Chinese women's Mean age at birth turns from fast to slow, the dispersion of fertility pattern rises first and then falls, and the distribution of child-bearing age is overall postponed. Compared with developed countries, the transformation of Chinese women's fertility pattern started late, changed quickly, and fluctuated greatly, from significantly lagging behind the general transformation process of fertility pattern in developed countries to rapidly approaching the average level of fertility pattern in developed countries. The adjustment of Chinese fertility policy has had a significant impact on the fertility pattern, leading to a turning point in the changing trends of the fertility pattern after 2010. With the development of economy and society and the continuous adjustment of fertility policy, the future fertility pattern of Chinese women may show trends that women's child-bearing age will continue to rise, but the dispersion of fertility pattern will slightly decline in fluctuations.
Research on the Innovative Development of Mud Genie-Mud Goo Goo and its IP Creation
Authors: Xu Xinhong , Li Zhifang
Published: September 2023

Xun County Mud Goo is one of the first national non-foreign heritage items and is a representative of traditional clay sculpture in Henan. The village of Yang Qi Tun in Xun County, located along the old Yellow River Road, is known as "the first clay sculpture village in China". Throughout the years, the development of local clay goo heritage has suffered from a weak awareness of folk culture preservation and a lack of innovation and practicality in its products. The aim is to promote the sustainable development of Mud Goo by exploring the innovative development path of mud gu and its IP creation.
Discussion on POE Teaching Strategies Applied to Science Concept Transformation Teaching
Authors: Yang Xinling
Published: September 2023

POE (Prediction, Observation, Explanation) teaching strategy can effectively realize the integration of teaching methods such as inspiration and inquiry in teaching activities through experiential learning, improve students' action and thinking quality, and help students form correct scientific concepts. The characteristics, application principles, processes and implementation paths of POE teaching strategies were discussed.
Research on English Teaching of Adult EFL Learners Based on the Scaffolding Theory
Authors: Li Li
Published: September 2023

Tourism perception has always been the focus of scholars' research. This research takes tourism perception as the starting point, and builds a theoretical model of tourism perception, cultural identity, and cultural self-confidence on the basis of Zhou Yijun and Feng Gengyun's research on the mechanism of tourism promoting cultural self-confidence, and structural equation model verifies the relationship between tourism perception, cultural identity, and cultural self-confidence.
Research on the Strategies of Cultivating the Pre-service Teachers' Ability of Art Normal Students under the Background of Contemporary Cultural Context
Authors: He Fanlun
Published: September 2023

The research on the pre-service teacher's ability training strategy of art normal students in the contemporary cultural context is of great significance for improving the practical ability and teaching satisfaction of art normal students. This study adopts the methods of questionnaire survey, observation and practical teaching, and analyzes the changes of practical ability and teaching satisfaction of art normal students who participate in the experiment through investigation and practical evaluation. The results show that after the experiment, the average score of participants' practical ability has increased to 76.43%, while the average score of teaching satisfaction has increased to 4.28. These data show that the implementation of the pre-service teacher ability training strategy for art normal students in the contemporary cultural context has effectively improved the practical ability and teaching satisfaction of art normal students, which has a positive impact on improving the overall professional quality and professional ability of art normal students, and also provides an effective reference for future art education and teaching.
Exploring a Novel Approach to Establishing a Geoscience 3D Printing Lab in the Era of Digital Earth
Authors: Song Qinghua , Wang Zhenhua
Published: September 2023

The rapid development of Digital China necessitates the cultivation of millions of individuals equipped with digital knowledge structures and practical abilities. The establishment of digital laboratories represents a significant innovation in teaching and management. This research endeavors to explore the construction of a geoscience 3D printing laboratory within the framework of the digital Earth, employing a well-designed integration of hardware and soft environments. The laboratory offers a comprehensive platform for teaching, research, innovation, and learning for both educators and students, leveraging state-of-the-art computer technologies. By incorporating 3D modeling and 3D printing technologies into laboratory teaching, a seamless connection between theoretical instruction and practical application is achieved, fostering reciprocal reinforcement between teaching and learning. With the support of the geoscience 3D printing laboratory, students have accomplished notable achievements, such as patent publications and research papers, as well as outstanding performance in various competitions at all levels. These accomplishments demonstrate that this model has effectively stimulated students' enthusiasm for learning, enhanced their problem-solving skills, and unveiled a promising pathway for the development of geoscience 3D printing laboratories in nurturing digital talents.
The Exploration of the Path to Solve College Students' Study Confusion Predicament by Integrating the Education of Chinese Dream
Authors: Wu Xianxian
Published: September 2023

College students are in the jointing and booting stage, which is an important period of the formation of life values. College students' study status is very important for their own growth and development. Therefore, we should attach enough attention to college students’ study status. Nowadays, most college students' study status is good, but some still have confusion due to various reasons. Based on the accurate and detailed analysis of the manifestations of some college students' study confusion predicament through the questionnaire survey, literature research and other methods, this paper aims to deeply analyse the causes of the confusion predicament and eventually explore specific ways to integrate Chinese Dream into the solution of college students' study confusion predicament, so as to lead college students to strength ideals and beliefs, establish lofty ideals, cultivate spirit of responsibility and better promote growth and development.
A Comparative Study of the English Translation Versions of Yu Meiren from the Perspective of the Skopos Theory
Authors: Li Ya
Published: September 2023

Yu Meiren is a wonderful work of classical Chinese poetry because of the poet’s inexhaustible sadness for the destruction of his country, which is just like a torrent of water. Due to the unique cultural symbols, Chinese poetry has also been given much attention in the study of foreign translations of Chinese culture. With the frequent cultural exchanges between China and other foreign countries, translators for Chinese poetry translation are also becoming more than before. However, the translation of the same poem may have different characteristics because of the different translation views and purposes of translators. Under the guidance of the Skopos Theory, this paper will analyze different versions of translations of Yu Meiren and discuss the translation strategies that should be adopted in the translation of Chinese poems. Thus, the translation of Chinese poetry will be more in line with the reading habits of the target readers and promote the foreign dissemination of China’s excellent traditional culture.
Social Relationship and Content Analyses in an Online Class Community under Covid-19
Authors: Tong Cindy Xindi , Chan Rosanna Yuen-Yan , Ho Choi Sen
Published: September 2023

Clarifying the blog’s background and successfully grasping its main subject are essential components of any examination of the blogging community. There are numerous previous researches on how to evaluate blogs and comments to discover the connections and content in a social group. This work seeks to focus on blog comments based on students’ relationships and conduct in a class community and to complement prior research techniques by emphasizing the importance of blog community analysis under Covid-19. It also provides an evaluation of the participation and performance results. We mainly focus on analyzing comments as the interaction among students and discuss the similarity in some highly performance students. With the help of social network analysis for online course student behavior, some tendency related to student behavior in this group has been shown in the experiment results by bias analysis, Pearson correlation, and Latent Dirichlet allocation, which serve as the data processing tools in this experiment.
Online Accounting Method for Carbon Emission of Coal Mines owned by the Coal Industry Group
Authors: Zeng Qiang , Wan Yawei , Ma Jinshan , Song Hongna , Lin Ke
Published: September 2023

An online carbon emission accounting method based on B/S structure for coal mines owned by the Coal Industry Group is proposed. Firstly, the carbon emission accounting method for coal mines owned by the Coal Industry Group is expounded, which is the basis of carbon emission accounting for coal mines. Secondly, an online accounting path of carbon emission for coal mines owned by the Coal Industry Group is proposed: The traditional top-down standalone accounting process of "carbon emission data acquisition, carbon emission calculation, carbon emission publication" is replaced by the bottom-up online accounting process of "carbon emission accounting tasks assignment, carbon emission data submission, carbon emission data audit, carbon emission calculation, carbon emission view", and the manual table lookup is replaced by system automatic table lookup to realize online calculation of carbon emissions. Then, taking Sql server as the database management system, ASP, C# as the development language, Dreamweaver, Visual Studio as the development platform, an online carbon emission accounting system based on B/S structure for coal mines owned by the Coal Industry Group is designed, which realizes online carbon emission accounting for coal mines owned by the Coal Industry Group. Finally, the application analysis results show that the method proposed in this paper can not only significantly improve the efficiency and accuracy of carbon emission accounting for coal mines owned by the Coal Industry Group, but also realize online sharing and comparison of accounting results, which is conducive for the Coal Industry Group to implement targeted monitoring and improvement of carbon emissions for coal mines owned by the Coal Industry Group.
A Review of Research on the Impact of the Netflix Economy on Consumer Behaviour
Authors: Yang Huan , Yu Miao
Published: September 2023

With the thriving self-publishing industry, the development of live-streaming with Netflix has become a new industry that has greatly influenced people's habits. Academics have begun to pay attention to the industry chain and profit model of the net popularity economy. In this context, this paper focuses on the current situation of its development, the causes of its formation, the impact of the net popularity economy on consumers, and the analysis of the rapid growth and long-term development of the industry. Therefore, this paper is innovative in its research and analysis of the factors influencing consumer behaviour in the netflix economy.