bluuebunny/crossref_metadata_2025 huggingface dataset:
An Investigation into the Pricing and Replenishment Strategy of Vegetable Commodities in Fresh Food Shops
Authors: Huang Jianan
Published: June 2024

Fresh supermarkets face challenges in marketing and inventory management due to the short shelf life and high loss rate of fresh vegetables. This necessitates the immediate development of a practical replenishment plan and pricing strategy. The paper commences by analyzing the sales distribution patterns of various vegetable categories, identifying leaves and flowers as having notably higher sales compared to other categories. Subsequent examination of the sales trend over time reveals variations in the sales of different categories or individual vegetables across months or quarterly periods, indicating a degree of seasonality. This study calculates the Spearman correlation coefficient for each category and individual product sales, presenting the results in a heat map. Findings indicate a significant positive correlation among all vegetable categories except for solanaceae, implying bundled sales or a consumer tendency to purchase specific vegetable categories concurrently. Consequently, when formulating replenishment and pricing strategies, considering a rational sales mix is crucial. The paper constructs a linear regression model, solving the equation using the least squares approach, and identifies a negative association between sales volume and cost-plus pricing. To accommodate seasonal patterns, the Prophet time series model forecasts wholesale prices for various vegetable categories during July 1-7, 2023. The objective is to maximize profit by accurately predicting vegetable costs. A nonlinear programming model is formulated to achieve this objective, determining the maximum revenue from days 1 to 7 as ￥(108953.65 - K), where K represents the fixed indirect cost. The model optimizes replenishment and pricing strategies for different categories.
Performance Techniques and Insights of the Guzheng Concerto “Chan Ge”
Authors: Kang Yijie
Published: June 2024

This paper explores the performance techniques and insights gained from playing Wang Jianmin’s guzheng concerto “Chan Ge.” By examining the concerto’s literary background, overall structure, and musical elements, the study reveals the intricate connections between the modern guzheng composition and classical literature. This approach aids performers and listeners in comprehending the cultural roots and messages behind the guzheng piece. From a performer’s perspective, the study analyzes “Chan Ge” in terms of its compositional background, tuning, structure, and performance techniques, highlighting its artistic features. Furthermore, the study delves into the cultural significance of the piece, examining the interplay between tradition and innovation, as well as individuality and universality. It showcases how the integration of Chinese and Western elements is reflected in the composition. This study helps deepen the understanding of Wang Jianmin’s compositional style and aims to promote China’s rich musical heritage, contributing to the flourishing of guzheng art in China. Moreover, it seeks to enhance the promotion and preservation of traditional guzheng music culture, providing valuable reference materials for guzheng performers.
The Effect of Balance Training on Physical Motor Functions TO 11-12 Year Old Female Football Players
Authors: Yang Xiwen , Nea A. Sualog
Published: June 2024

The aim of this study was to investigate the effect of balance training on the physical motor function of adolescent female football players. Thirty female football players aged 11-12 years were selected from Ausheng Football Club as the study subjects, and they were divided into a test group and a control group of 15 each using experimental testing and mathematical statistics methods. The experimental group received balance training intervention for a period of 5 weeks while the control group did not receive any intervention. The Y-Balance test and FMS test were used as assessment indicators to evaluate the balance and body movement function of the athletes respectively. Differences in performance between the two groups before and after training were compared and the relationship between balance ability and physical motor function was analyzed by methods such as paired samples t-test and independent samples t-test. The results showed that compared with the control group, the experimental group showed significant improvement in all balance indicators, especially in medial back and overall balance. In addition, the experimental group showed significant improvement in hurdle stride, linear lunge, and rotational stability indicators. The overall motor function of the experimental group improved significantly as assessed by the Functional Movement Screen (FMS), which indicated that the balance training was very effective. The Y-balance test further confirmed that the experimental group showed a substantial improvement in balance, while the control group showed little change. In addition, the results of the Y-balance test showed a moderate positive correlation with the results of the FMS test, suggesting a relationship between balance and functional movement. These findings emphasize the positive impact of balance training on the physical motor function of young female footballers, demonstrating the importance of balance training in motor development and injury prevention.
The Application and Challenges of Face-swapping Technology in the Film Industry
Authors: Xu Ke
Published: June 2024

AI face-swapping is an image processing method based on artificial intelligence technology that can replace the facial features of one face photo with the facial features of another face photo, thereby achieving the effect of changing the face. The emergence of this technology quickly affected the film industry and sparked heated discussions in society. This article studies facelift technology in the film industry, exploring it from ethical, legal, and social perspectives. Ethical issues will become the primary issue in technology promotion, in addition to ethical challenges. This technology has caused a series of legal issues, such as copyright, privacy, and data security, during its application. Finally, this article believes that effective constraints on this technology are feasible solutions that require legal constraints and regulation, as well as in-depth negotiations and communication among stakeholders, in order for artificial intelligence technology to better promote the development of the film industry.
Innovative Teaching Strategies: A Breakthrough to Traditional Teaching IN Secondary Vocational Schools
Authors: Wang Meixin
Published: June 2024

With the reform of China's education sector, secondary vocational schools have begun to notice the shortcomings of the traditional teaching model. Although the traditional teaching mode is very advantageous for teaching students' theoretical knowledge, the practical knowledge still stays at the book level, which is not in line with the cultivation goal of vocational and technical education. Therefore, the traditional vocational and technical education model does not meet the current social demand for students' employment. The research design used in this study was quantitative descriptive and the participants were teachers from secondary vocational and technical schools in Jilin Province, totaling 35. The results of the study showed that the practice of using innovative strategies for classroom instruction, by introducing a project-based teaching methodology that allows students to explore and learn knowledge by engaging in real-world projects, not only promotes high-quality vocational-technical education, but also is in line with the direction of the development of vocational-technical education. The results of this study will also contribute to the innovation of teaching strategies and may also influence the localized vocational and technical education teaching model to provide some reference suggestions.
Methods to Improve Suppression of Leakage Current Generation in Single-phase Non-isolated Photovoltaic Grid-connected Inverters
Authors: Zhou Yinzi
Published: June 2024

Analysis of methods to suppress leakage current through the topology of a single-phase inverter is carried out, aiming to address the phenomenon that disturbs the normal operation of electrical equipment and poses risks to human life when equipment integrates the electrical system into the grid. The topology of a single-phase inverter is taken as the research object, whose issues will be researched and summarized. First of all, by analyzing the single-phase inverter circuit, a simplified equivalent circuit is obtained. Then during the simplification process, it can be concluded that the generation of leakage current is related to the rate of change of common-mode voltage. After that based on this phenomenon, the general direction for suppressing leakage current has been obtained: when the electrical equipment links to the grid: keep Vcm constant, and four clear methods to suppress leakage current. Then reanalyze the way some new non-isolated grid-tied inverter topology how to suppress leakage current. Eventually, the conclusion would be reached.
Research on Game-Theoretic Supply Chain Optimisation Strategies Based on Multiple Linear Regression and BP-PSO Combined Time Series Analysis
Authors: Li Ye
Published: June 2024

Vegetable commodities have a short cycle, and supermarkets generally replenish goods based on historical sales and demand for each commodity. Vegetable commodities are different from other commodities with relatively stable supply chain planning and market environment, so the automatic pricing and replenishment decisions of fresh food superstores on commodities are of great significance. This paper focuses on the problem of commodity pricing and replenishment strategy. Firstly, through multiple linear analysis regression analysis, the relationship between total quantity and cost plus pricing, fit a one-dimensional linear fitting equation, and visualise the correlation between sales price and total quantity, secondly, observe the trend of various types of vegetables through matlab time-series analysis, establish BP neural network prediction model, predict the total quantity of sales and total quantity of replenishment in the coming week, and formulate the commodity pricing and replenishment strategy using Linear programming to establish the optimization model, verify the feasibility of the model, the parameter normality test and residual test and visual inspection error, analyse the parameter significance, use BP neural network to test the fitting effect. The results of the study, based on the game theory of supply chain replenishment and pricing strategy to establish a mathematical model.
Strategic Decision-Making in Swiss-System Chess Tournaments
Authors: Zhu Peiran
Published: June 2024

This study delves into the decision-making strategies of chess players in the final round of Swiss-system chess tournaments. This paper first introduces the basic rules and characteristics of Swiss-system tournaments, as well as the objectives of players in the competition. Subsequently, this paper analyzes the strategies adopted by players in the final round under different circumstances, including scenarios without tied players, with tied players but leading or trailing in rankings, and situations where players are tied and have similar rankings. Through theoretical analysis and validation with empirical data, this paper derives optimal strategies for players in different situations to ensure achieving the highest possible ranking in the final round. Starting with a simple four-player championship model, the study provides important insights and guidance for player decision-making in Swiss-system chess tournaments, while also offering valuable exploration into understanding the decision-making process of players. The strategies are well discussed in Section 3.
The Images and Metaphors in Death Fugue
Authors: Yu Shuqian
Published: June 2024

Paul Celan's Death Fugue is one of the most important poems of the 20th century. The obscure and profound metaphors and images in the Death Fugue have always attracted people's attention. In addition, his poetry is seen as the product of a world in transition. After the Holocaust, the myth of modernity was destroyed so that the past experience was considered questionable on a poetical level. The Death Fugue was written in a way that had never been written before. This paper analyzes the text from the perspective of metaphor and intention and explores the potential meaning of words. This paper selects three main images and interprets them in combination with history and philosophy. The author analyzes how metaphors and imagery in the poem reproduce the Holocaust scene and responds to literary criticism of poetry after the Holocaust. Through these rare metaphors and images, Paul Celan created a new paradigm of poetry and made readers read it in a new way.
The Application and Development of Artificial Intelligence and High Technology in Sports Event
Authors: Chen Jianhang
Published: June 2024

The field of sporting events is seeing a constant change in the use and development of Artificial Intelligence (AI). The primary focus of this research is on using AI to analyze athlete performance and improve training regimens. This includes skill evaluations, tactical improvements, and customized training advice. The results show that AI has advanced significantly in event management, spectator experiences, and referee decision-making all at the same time. This has improved audience engagement, operational efficiency, and referee decision correctness. Even with all of AI's achievements in sports, there are still unanswered questions. Examples of these include improving intelligent training apparatus and making more accurate projections of athlete performance. Future studies will explore these areas in greater detail in an effort to advance and innovate artificial intelligence (AI) in the sports industry. The ongoing evolution of AI suggests a broader and more precise exploration in sports, potentially providing richer and superior experiences for athletes, spectators, and stakeholders while laying the groundwork for future technological innovations. Meanwhile, people should anticipate the collaborative development of artificial intelligence and humans, aiming for equilibrium, mutual supplementation, and interdependence.
Study on Twinning Cooperation among Cities in the Yangtze River Delta to Help Promote Economic Growth in Less Developed Regions
Authors: Xu Jiayi , Yu Han , Qiu Liming , Chen Zhengkang
Published: June 2024

Taking the model of city twinning cooperation and assistance in the Yangtze River Delta region as a perspective, this study thoroughly explores the role and mechanism of this model in promoting economic growth in less developed regions. Through empirical analysis and case studies, this study finds that twinning cooperation and assistance not only enhances the industrial level and technological innovation capacity of less developed regions, but also significantly promotes the optimization of local economic structure and the enhancement of economic growth rate. The article concludes with policy recommendations to further optimize the mode of twinning cooperation and assistance, with a view to providing theoretical support and practical guidance for promoting coordinated regional development.
An assessment measurement study based on the momentum of the tennis ball in question
Authors: Wang Xiangzhi , Xu Ruize , Luo Jinyao
Published: June 2024

In tennis, it is very important to always be aware of the movement and trend of the match. Accurately grasping the change of momentum is of great practical significance in predicting the future fluctuation of the match. Based on the relevant match data provided by Wimbledon, three models are constructed in this paper. Model one is a win-loss probability model based on binomial distribution, which deflates the impact of each small game win on the whole game, and accurately calculates the overall win rate of current players by judging the difference in players' level as well as the number of games won and lost. Model 2 is a momentum calculation model, which accurately describes the player's game status by analyzing the number of consecutive scores, score gap, number of key balls, and number of errors in a multi-dimensional analysis, and then accumulating and calculating the momentum data. Model 3 is a match fluctuation prediction model constructed based on Gradient Boosting Tree, which is utilized to predict match fluctuations by comparing predicted fluctuations with actual fluctuations on the test set in the tournament. And it evaluates which factor is the most important in predicting the future trend.
Forecasting EV Stock Trends Based on ARIMA Model Represented by Tesla and BYD
Authors: Yang Kaiyue
Published: June 2024

In recent years, an increasing number of people have turned their attention to renewable energy, and sales of electric vehicles have skyrocketed, making electric vehicles (EVs) a very popular topic. To better understand the development of the electric vehicle market and provide some insights for investors, this study forecasts EV stock trends of two leading companies in the Electric Vehicle industry, Tesla and BYD, by the Autoregressive Integrated Moving Average (ARIMA) model. The data in this research includes a daily time series of stock prices. ARIMA model is chosen in this research for its effectiveness in predicting stationary time series data, for its effectiveness in predicting stationary time series data, particularly suitable given the limited data available in the recently emerged EV industry. This research demonstrates that both Tesla and BYD’s stock closing prices are not stationary data. After differencing, for Tesla, the predicted result suggests a slightly increasing trend, while BYD's prices are predicted to remain at the same level and relatively stable in future 100 days. The study provides insights into the EV stock market, indicating a potential upward yet not pronounced trend in the future. But such a stable price might be a good choice for the investor low-risk takers.
Research on Apple’s Stock Price Trend Forecasting
Authors: Du Ninghui
Published: June 2024

As the world's largest company by market capitalization, Apple has attracted the attention of many investors. Many investors have developed a strong interest in Apple stocks. However, it is not easy to study the trend of Apple stocks. Because there are many factors affecting Apple's stock price changes, it is very complicated and difficult to review the details of all these factors. Predicting and analyzing stock prices can provide investors with practical tools to raise funds and reduce investment risks. This paper starts with the time series research method of stock prices, which has proved to be a relatively effective method. Through this method, this paper can have an in-depth understanding of the fluctuation of stock prices, so as to better grasp market trends and make more informed investment decisions. By using CNN and LSTM models for prediction, the author finds that it rose by an average of 4% per trading day, and its MSE value was basically below 10, The MSE of other stocks has been optimized from more than 1900 shares predicted in less than 10 a share. This paper splits and analyzes the adjusted data to obtain more reasonable and accurate prediction results. Finally, this article aims to provide valuable reference for those who are interested in stock forecasting or studying the trend of Apple's stock price.
Constructing a Multivariate Linear Model to Investigate the Wind Propagation Dynamics of Dandelion with Analytic Hierarchy Process
Authors: Zhu Chenhan , Lu Jiayue , Ma Xuanzhe , Wang Dan
Published: June 2024

The dandelion, a plant native to Eurasia, has successfully dispersed to regions across the globe. This dispersal is facilitated by the wind, which carries dandelion seeds attached to the pappus or petals of the pappus over considerable distances. Nevertheless, the extensive distribution of the dandelion has garnered significant attention. While this plant currently poses no immediate harm, the issue of species invasion resulting from its presence has become a matter of concern. Consequently, it is imperative to conduct research on the dissemination of the dandelion and its potential ramifications on other species. In addressing the first problem, this article commences by progressing from a rudimentary to a more intricate examination. The study dissects the wind propagation dynamics of dandelion, scrutinizing both the vertical and horizontal dimensions. It is deduced that the dandelion rapidly attains a threshold velocity during the early stages of propagation, prompting the construction of a comprehensive kinematic model for dandelion seed dispersal by integrating the analyses of both directions. Subsequently, a logarithmic distribution-based seed wind propagation model is formulated, drawing upon the aforementioned kinematic model. Lastly, the article deliberates upon the consequential ramifications. For the second problem, a multivariate linear model is developed to consider various factors including plant characteristics, environmental hazards, and ecosystem resistance. The analytic hierarchy process is employed to discuss the weight of each influencing factor and quantitatively assess the invasion ability of Taraxacum mongolicin. Ultimately, the model is tested and the collected data is utilized to verify the validity of the model.
Research on the Operation Effect and Optimisation Path of Publishers’ Short Videos in the Context of Media Convergences
Authors: Xie Mingyue
Published: June 2024

Short video has not only reshaped the ecological pattern of media communication, but also profoundly affected the marketing method of publishing houses, and the combination of “publishing + short video” has become the standard of many publishing houses, showing strong market potential and innovative vitality. In this context, from the perspective of network science, we analyse the short video operation initiatives of publishers, focusing on the core aspects of account operation, content operation and user operation. By exploring the effects and strategies of short video operation of publishing houses, it is proposed that by enhancing the density and intensity of connections in the relational network, the social influence and dissemination effect of short video accounts of publishing houses can be effectively enhanced, the integrated development of publishing can be promoted, and new vitality and kinetic energy can be injected into the publishing industry.
Study on the Educational Function of Campus Culture in Universities
Authors: Wu Xifeng , BaiWurihan  , Hu Mengmeng
Published: June 2024

Currently, China is facing complex challenges of multiple transformations, including but not limited to social structural changes, international globalization, and deepening reforms of the education system. These factors not only provide unprecedented opportunities for the construction of campus culture in universities, but also bring considerable pressure and problems to various aspects of campus culture, such as material culture, spiritual culture, and institutional culture. For example, some universities have confusion and ambiguity in their values and ethical choices, which limits the further optimization and development of campus culture. Therefore, how to strengthen the cultural attributes of university campuses in the new era has become a problem that must be seriously addressed. Using scientific methods to guide and provide direction for cultural construction activities to enter the campus has become an urgent issue for China's education and cultural development. How to improve its effectiveness and influence has also become a pressing issue. Based on this topic, this article adopts moral education theory, cultural education theory, and contemporary Chinese cultural education theory as the theoretical foundation, combined with the case study of Guangdong University of Petrochemical Technology, analyzes the current cultural phenomena and construction progress on university campuses through questionnaire survey method, analyzes and grasps their existing problems, and interprets the causes of their problems from multiple perspectives, aiming to provide more comprehensive and systematic solutions for the construction of university campus culture.
Effect of hydrothermal carbon on biogas production from agricultural waste by anaerobic fermentation
Authors: Wang Congxin , Zhang Hui , Liu Jiaxu , Sun Jiaxing , Zhao Ling
Published: June 2024

In this study, biogas residue was used as raw material to prepare biogas residue by hydrothermal carbonization at 190℃ with different treatment time. The effects of hydrothermal carbon addition on gas production characteristics during medium temperature anaerobic fermentation (straw, straw + chicken manure, chicken manure) were studied, and the differences of surface formation of biogas residue hydrothermal carbon were observed by SEM. The results showed that the duration of gas generation peak was prolonged in the straw + chicken manure fermentation group and the chicken manure fermentation group after adding biogas residue hydrothermal charcoal, and the total gas production in the 8h, 12h and 24h hydrothermal charcoal groups increased more (P < 0.05), and the total gas production increased 39.2% at most. There was no significant difference in cumulative gas production among groups in straw fermentation group. According to the actual production, the optimal HTC process for anaerobic fermentation is 8 h at 190℃.
Instructor’s Research Capabilities in A Government University in Guangdong Province
Authors: Chen Juan
Published: June 2024

This research will determine the capabilities of the instructors of Guangdong University of Science and Technology. Through research, the academic administrator and instructor enhances and develops his or her own research capability level by joining and attending different training and development- thus, her strength. This workshop session involves sampling methods for qualitative and quantitative researches. It is for the researchers to select the most appropriate number of participants. Now that the researchers know the number of participants needed, making data collection instruments and disseminating it is the following stage. The instructors' unanimous agreement on their strength in writing the concept paper reflects a shared competency that extends beyond individual capabilities. It indicates a collective proficiency in navigating the complexities of research conceptualization. The instructors' unanimous agreement on their strength in writing the data gathering procedure reflects a robust and comprehensive expertise in the research process.
Analysis of the Development Strategy of Bilibili in the Context of Artificial Intelligence
Authors: Mao Monuo
Published: June 2024

The purpose of this paper is to analyse in depth the development strategy of Bilibili in the context of artificial intelligence and to explore its practical significance in the field of social media, to explore the future application of AI technology in Bilibili and the development strategy of Bilibili, etc. This paper provides important references and suggestions to assist Bilibili's platform in maintaining its competitive edge in the context of AI and achieving sustainable development. The findings of this article have significant implications for other social media networks that use AI technology. Other social media platforms can achieve breakthroughs and development in the field of AI by learning from the successful experiences and strategies of the Bilibili Platform, improving user experience and platform competitiveness. At the same time, the research in this paper also helps to promote the development of AI technology in the field of social media to provide better services and experiences for users.
Analysis of the Factors of Korean Pop Music's Dissemination -- Taking the NewJeans Girl Group as an Example
Authors: Fang Zixu
Published: June 2024

In the era of globalization, Korean pop music has rapidly made a great impact on the entire Asian music market with its unique charm, and the spread of Korean idol groups in China has gradually become a topic of great concern. This paper firstly starts from the communication background of Korean pop music, takes the NewJeans girl group as the research object, and analyzes its communication factors systematically, from the communication subject to the communication effect, through the 5W communication model with "Who, Says What, In Which Channel, To Whom, With What Effect" as the structural basis. Through the 5W communication model, this research systematically analyzes the factors of their communication, from the main body of communication, song content, to the choice of communication media, to the fan audience and the effect of communication, and comprehensively explains the factors that have contributed to the spread and success of Korean idol groups in Korea and abroad. Through in-depth analysis, this paper provides lessons and insights for the communication of similar groups in the Chinese market. Therefore, Chinese pop music should be clearly positioned in the market when spreading, and the promotion should be fine-tuned to the cultural preferences and aesthetic habits of audiences in different countries and regions. It also needs to be communicated in such a way as to clarify the meaning of the song, create a unique concept, and increase interaction across the board.
The Use of Erythropoietin in Cancer Treatment and Its Correlation with Ovarian Cancer
Authors: Meng Fanqi
Published: June 2024

Erythropoietin is produced by the kidneys, which can stimulate the production of red blood cells, and has a better therapeutic and prognostic role in cancer anemia. Ovarian cancer, which originates from ovarian tissue, is one of the malignant tumors of the female reproductive system, with high lethality and not easy to detect. It has been proved that EPO in correlates with the growth of tumor cells, and its receptor EPOR and recombinant human EPO (rhEPO) are expressed in cancer cells. EPO can treat EPO tumors by restoring endothelial erythrocytes and promoting angiogenesis, while rhEPO mainly has a better ameliorative effect on cancer anemia induced by radiotherapy. However, it remains controversial and contradictory whether EPO has a concomitant promoting effect on tumor cells while relieving ischemia. In this article, we will introduce the sources of EPO and EPOR in vivo, analyze the pathways that promote erythropoiesis, and analyze their effects on tumor cells. It will also confirm the correlation between the two by analyzing the EPO content in ovarian cells. The intervention effect of rhEPO analogs on cancer is also briefly described. Since aberrant activation of the JAK/STAT signaling pathway may exist in ovarian cancer patients, in-depth study of such targets may become a new research direction for the treatment of ovarian cancer.
Optimal Decision on Pricing and Replenishment of Vegetable Products Based on Goal Planning
Authors: Chen Ge , Chen Yewei
Published: June 2024

Developing replenishment and pricing plans has always been the key for fresh food supermarkets to gain more profits. This paper analyzes various situations and provides the optimal solution through Spearman correlation analysis, Lasso regression, goal programming and other methods and models. We use normality testing and box plots to present the distribution patterns of major categories and individual products from both vertical and horizontal perspectives. Establish a single objective programming model and solve it with Lingo to obtain a maximum profit of 98513 yuan for 7 days. The largest total replenishment amount is for the flower and leaf category, the smallest is for edible mushrooms, the highest average cost markup rate is for aquatic roots and stems, and the lowest is for cauliflower. This has certain reference value and theoretical significance for fresh food supermarkets to formulate replenishment and pricing plans.
Prediction of Electric Load Neural Network Prediction Model for Big Data
Authors: Xin Haoran , Cui Tong
Published: June 2024

In this study, the two-dimensional hexagonal Photonic crystal energy band structure was simulated using COMSOL Multiphysics field simulation software. The 2D hexagonal Photonic crystal structure was constructed by setting parameters such as periodic boundary conditions and air hole radius. Using the frequency domain solver of COMSOL software, the transmission and reflection spectra of the structure were calculated, and the energy band structure diagram was obtained. The effects of different parameters on the energy band structure were analyzed by adjusting the structure parameters. The results show that the fine tuning of the energy band structure of 2D hexagonal Photonic crystals can be realized by adjusting the radius of air holes and the periodic boundary conditions. This study provides a useful reference for further research on the properties and applications of 2D photonic crystals.
Implementation of miniaturized power transmission system of ROV
Authors: Yang Mingyu , Zhao Shiyu , Tong Yixuan , Lu Guangyu
Published: June 2024

As the basic guarantee for underwater operation of ROV, power transmission system provides energy security for ROV. Reasonable power transmission system design is an important guarantee for ROV comprehensive performance. This paper presents an ROV power transmission method based on matrix transformation. The method with the characteristics of low transmission loss and low transmission current which based on long-distance transmission of medium-voltage and power-frequency in the armored cable. By increasing the transmission frequency in the underwater end, it can reduce the volume of the underwater transformer which solves the conflict between the efficiency and the volume of underwater transformer. In this way, the space occupied by the transformer on the ROV can be reduced and the transmission efficiency can be ensured to meet the application requirements of the ROV with high power and efficient transmission.
Modeling and analysis of ecosystem dynamics based on the Lotka-Volterra model
Authors: Huang Bosong , Yang Yingying , Peng Luhan
Published: June 2024

In this paper, the ecological dynamics of sea lamprey populations were explored using the Lotka-Volterra model. Its ecosystem dynamics were also modeled. The analysis showed that changes in the sex ratio of sea lampreys can lead to a decrease in the abundance of other species within a certain range. Thus, changes in sex ratio affect the abundance of other species in the larger ecosystem. In addition, the study assessed the strengths and weaknesses associated with sea lamprey populations through iterative modeling. Six advantages (growth rate, environmental adaptation, importance in the food chain, ecosystem contribution, predation control, and reproductive efficiency) and four disadvantages (environmental stress, risk of overfishing, threats to reproduction, and threats to predation) were assessed in terms of population stability, reproductive fitness, and ecological impact. The results showed that when sex ratios were equal, the greatest advantage was predation control and the greatest disadvantage was overfishing risk. When males were dominant, the greatest advantage was adaptability, while the greatest disadvantage was predation threat.
Optimizing the Construction of Online Ideological Education Platform for College Students through Blockchain Technology
Authors: Zhang Yuan , Wang Fei
Published: June 2024

This paper explores the optimization of online ideological and political education platforms in universities using blockchain technology. By employing systematic thinking to analyze these platforms, the study aims to align them with the development trends of the digital era. Blockchain technology, known for its secure, decentralized nature, offers a promising avenue for enhancing the efficiency, integration, and effectiveness of these educational platforms. This paper discusses the significance, challenges, and potential strategies for implementing blockchain in university ideological education systems.
The Application of Functional Training in Badminton Teaching: Basis for Induction Program for Beginners
Authors: Qin Guoyou
Published: June 2024

This study selected 40 students randomly selected from the badminton general training class of Hanjiang Normal College as the experimental subjects, and grouped the sampled students for teaching experiments, the experimental class used the teaching mode of integrating functional training, and the control class used the conventional badminton technical teaching and course organization, and conducted a comparative analysis of the experimental group's and the control group's students' physical fitness, functional status, badminton technical level, and interest in learning the badminton course before and after the experiment to assess the impact of functional training on the learning of basic badminton techniques. After the teaching experiment, the physical quality, functional condition, badminton skill level, badminton course learning interest of the students in the experimental group and the control group were analyzed before and after the experiment, in order to assess the influence of functional training integrated into the teaching of badminton introductory skills on the learning of basic badminton skills.
Intelligent pet cat care residence design based on cloud platform
Authors: Li Tengfei , Zhang Haoran , Fu Chunyan , Li Linna
Published: June 2024

In order to provide an intelligent living environment for pet cats, so that owners can understand and control the daily life of pet cats, and communicate and interact with them through voice, a remote pet cat care system was designed. The system uses a remote monitoring function that combines a cloud platform and a camera, allowing owners to keep an eye on their pet cats' movements even when they are away from home. This system uses PLC as the main control unit and STM32 single chip microcomputer as the slave, which can not only collect temperature, humidity, light intensity, pressure and other signals, but also carry out real-time control of the controllable hardware in the system, and transmit the collected data to the cloud platform. 4G communication technology is adopted, and users can remotely complete the intelligent control of all equipment in the system through the cloud platform. To realize real-time monitoring and interaction of pet cats in all aspects; According to the pet cat daily diet, drinking water, exercise and other important data to determine whether the physical health. This can improve the service level of the pet cage industry and inject technological power to make pet cages more intelligent.
Research on Vegetable Sales Data Analysis and Cost Pricing Modeling
Authors: Li Yikang , Zhao Hang , Wang Yanran , Yu Bohao
Published: June 2024

Vegetable commodities have a shorter freshness period, many varieties, and a special time of purchase, so it is important to comprehensively analyze the automatic replenishment and pricing strategy of vegetable commodities for the profitability of fresh food superstores. First of all, in the correlation of vegetable categories and single product sales volume, Pearson correlation coefficient analysis is used, to obtain the strong correlation between chili peppers and foliage categories and various vegetable categories. Then based on correlation the best clustering results were obtained by K-means clustering analysis divided into three main categories, namely solanula; flowers and leaves and cauliflower; peppers, aquatic rhizomes, and edible fungi. Next using entropy weights TOPSIS method is used to give the weights of four indicators: total sales, average unit price, average wholesale price, and average wastage rate of each category of vegetable commodities for seven days, and the top 27 vegetable items are sorted to get the best sellable vegetables. Based on the above ranking of the individual vegetable items, Excel was used to forecast the cost pricing of the vegetable commodities to get the cost pricing of the 27 individual vegetable items for the next seven days.
Analysis and Reflection on Investment Status of Innovative Drugs in China
Authors: Hao Doudou
Published: June 2024

At present, China's innovative drug support policies and market volume are good, but China's innovative drug research and development(R&D) success rate and market share still need to be improved. This is related to the unreasonable investment direction of innovative drugs and the low utilization efficiency of R&D resources. Therefore, the objective of this paper is to evaluate China's present state of investment in innovation drugs and explore how to promote the effectiveness and sustainability of innovative drug investment. Through data analysis, this paper found that the scale and frequency of investment and financing of innovative drugs in China are declining. The problem with China's innovative drug investment is that the valuation of hot projects is too high, the allocation of funds is unreasonable, the investment is not in line with the actual needs of the industry, and only the pursuit of short-term returns. Given the various problems in China's innovative drug investment, the government needs to create a long-term stable environment for the innovative drug investment market and prudently formulate relevant policies to strike a balance between stimulating the market and regulating the market. Entrepreneurs should choose the direction of R&D according to their areas of expertise combined with cutting-edge scientific research progress rather than adjusting the direction of R&D to cater to the preferences of investment institutions. Investment institutions should avoid risks caused by unreasonable capital allocation by strengthening the layout of the pre-investment track and prudently carrying out project valuation analysis.
Optimisation of superstore single product replenishment and pricing strategy based on LSTM neural network and weighted multi-objective planning
Authors: Yin Jiawei
Published: June 2024

Vegetable items in supermarkets usually have a short shelf life and their quality gradually deteriorates over time. Therefore, supermarkets usually need to make daily vegetable replenishment decisions based on historical sales data and demand. The purpose of this paper is to investigate the replenishment strategy and pricing strategy of individual items under many constraints in order to reach the goal of maximising supermarket revenue and market demand. Firstly, the original sales volume data is preprocessed to calculate the sales volume of each single item within 24-30 June, excluding the single item with 0 sales volume, the remaining 49 single items; secondly, the LSTM neural network model is established to predict the non-discounted sales volume, the discounted sales volume, and the cost of each single item on 1 July, respectively, and excluding the single item with total sales volume lower than 2.5 kg on 1, the remaining number of saleable single items is 32; finally, considering the three possibilities of the existing supply and demand relationship, a weighted multi-objective planning model is established to solve for each single item separately, and the optimal solution is selected from it. The results show that the maximum profit of the superstore on 1 July is 886.56 yuan.
Data-driven analysis of product interactions during biomass pyrolysis
Authors: Liu Yongkang , Chen Mengyao , Shang Yizhuo , Yang Zongyao , Xu Chenxin , Liu Chaohui
Published: June 2024

Pyrolysis technology, crucial for sustainable energy in light of the energy crisis and environmental concerns, was studied using a model compound method involving desulfurization ash with cotton straw and a model compound. This study focused on the catalytic effects of desulfurization ash on the pyrolysis product formation from cotton straw. Key findings include a negative correlation between tar yield and the yields of carbon, water, and syngas, but a positive correlation with other pyrolysis products. Specifically, in the DFA/CE combination, tar and carbon yields were positively correlated, but negatively correlated with syngas and water yields. In DFA/LG, however, tar yield negatively correlated with water and carbon yields. Analysis using visual charts indicated that the H2 yield in DA/CS significantly fluctuated and positively correlated with the mixing ratio. In DFA/CE, a negative correlation existed between H2 yield and the combination ratio. For DFA/LG, the trends of CO and CH4 were consistent with C2H6 and H2, with a stable C2H6 rate and CO positively correlating with CO2. The Lilliefors test, ANOVA, and Spearman's correlation coefficient revealed no significant difference in the yields of pyrolysis products and gases between CE and LG under the same desulfurization ash proportions.
Analysis of Professional Badminton: Performance and Global Disparities
Authors: Wang Ziye
Published: June 2024

This study analyzes and investigates the impediments of badminton and portrays verifiable player execution measurements utilizing the Badminton World Federation (BWF) World Visit dataset. The consider employments progressed computational strategies such as Python and factual conditions to dismember numerous confinements and benchmarks agent player execution against chronicled information. This examination points to shed light on the physical and vital obstructions that have verifiably influenced players' capacities, giving a comparative viewpoint on the improvement of badminton. In expansion, this ponder analyzes the socio-cultural variables and framework advancement that have impacted the advancement of badminton. By joining a wide extent of information focuses and expository procedures, this consider looks for to supply a comprehensive understanding of the advancement of badminton and the variables that drive tip top execution. The arrange and structure of this document strictly follows to the desired rules submitted to Trans Tech Distributions for camera generation, guaranteeing compliance with endorsed page format and typographical traditions.
The Market Trend Analysis of the MLCC Industry
Authors: Zhang Jingwen
Published: June 2024

With the advancement of science and technology, multilayer ceramic capacitors are playing an increasingly important role in electronic products. In this article, we will analyze the market size and competitive landscape of MLCC, as well as their expected development. This article will analyze the growth of the MLCC market by collecting historical and forecast data and identify the major manufacturers and suppliers by surveying the competitive landscape. Finally, the technological innovation advantages of the industry are studied and discussed, and the application scenarios are analyzed. In the fourth part, four MLCC manufacturers will be listed, namely Fenghua Advanced Technology, Sanhuan Group, Murata, and Yageo. Finally, it can be seen that the competition among manufacturers in the MLCC industry is still fierce, and it is developing rapidly in emerging fields. In addition, MLCC products tend to be miniaturized, lightweight, high capacitance, high frequency, and high temperature resistance. Through research, it can help investors better formulate market strategies, provide government regulators with suggestions for the development of the MLCC industry, and serve product development and market expansion, to promote technological innovation and healthy and sustainable development of the industry.