bluuebunny/crossref_metadata_2025 huggingface dataset:
Current Immunotherapy Progress in the Hodgkin Lymphoma
Authors: Xing Zhechen
Published: June 2024

Hodgkin lymphoma, a distinctive cancer affecting the lymphatic system, poses challenges in treatment due to its unique characteristics and the limitations of traditional therapies. This essay delves into the potential of immunotherapy to transform the landscape of treatment for Hodgkin lymphoma. Furthermore, the essay analyses case studies to illustrate the efficacy of these approaches. It presents an overview of the underlying principles, as well as specific immunotherapeutic approaches, such as checkpoint inhibitors, monoclonal antibodies, and CAR-T cell therapy, and their mechanisms. Immunotherapy offers a targeted and personalized alternative to conventional chemotherapy and radiation, presenting promising results in clinical trials. Clinicians manage subtleties in immune-related toxicity and response assessment as the field develops. The goal of immunotherapy research in the initial phases of treatment is to increase cure rates while lowering long-term dangers. Ongoing research and advancements, including checkpoint blockade studies, offer hope for refining treatment approaches and optimizing outcomes in Hodgkin lymphoma. This essay emphasizes the significance of immunotherapy in providing effective and less toxic alternatives, heralding a new era in Hodgkin lymphoma treatment.
LiFi Technology Application and Prospect in the Field of Medical
Authors: Shen Yansen
Published: June 2024

Light Fidelity (LiFi) technology utilizes visible light as a transmission medium with a large spectrum and resistance to electromagnetic interference. Due to its unique characteristics, the use of light emitted by light-emitting diodes (LED) to transmit data makes it very safe when transmitting data. LiFi technology plays an integral role in many fields, such as aerospace, underwater communications, defense and security, and medicine. This paper introduces the basic working principle of LiFi. LiFi technology is used as a modulation technique for data transmission, and the current status of LiFi technology in the medical field is briefly analyzed, along with the challenges and difficulties encountered in this field. Examples include a medical monitoring system based on LiFi technology and the transmission of images in the operating theater using LiFi technology. In the medical field, LiFi technology also faces challenges and difficulties, such as ensuring the stability and reliability of communication and achieving efficient signal processing and data transmission. The potential of multiple-input multiple-output (MIMO) technology for in-depth research is described.
The Application of CRISPR/Cas9 Technology in Neurological Diseases
Authors: Ning Hao , Wu Yushan
Published: June 2024

Neurological disease refers to the functional disorders of the central nervous system, peripheral nervous system or plant nervous system caused by a variety of causes such as bacterial infection or genetic. Patients usually show problems such as conscious disorder, sensory disorders, and motor disorder. Common neurological diseases such as Huntington, and Alzheimer's disease, have always been one of the main diseases that endanger human life because of their complex mechanisms and treatment. Gene therapy has always been considered a way to treat diseases. The discovery of Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR) has improved gene editing technology and realized the application of various biological fields. CRISPR uses sgRNA to identify target sequences, so that CAS9 protein cuts DNA, and combines the guided RNA with the recognized DNA. Then the nucleic acid-cutting enzyme breaks the DNA dual chain structure, and the host cells were repaired through homologous or non-source mechanisms. CRISPR/Cas9 technology can better perform genetic treatment of neuropathy, making it possible for the development and new treatment methods of human neurodegenerative diseases. This review summarizes the basic principles of CRISPR/Cas9 technology and its application in Huntington's and Alzheimer's disease, as well as discusses the feasibility of CRISPR technology in neurological diseases in the future.
Pricing and replenishment decision problem based on time series prediction and optimization algorithm
Authors: Li Zijing
Published: June 2024

The pricing of vegetable products is an important research topic that involves multiple aspects such as agricultural production, market supply and demand, consumer interests, and social benefits. Vegetable products have characteristics such as short production cycles, short shelf life, large price fluctuations, and high demand elasticity, which pose challenges to pricing decisions. To develop replenishment decisions that maximize the profits of supermarkets, the author establishes a mathematical model for the total sales volume and cost add-on pricing of each vegetable category. First, the cost, cost add-on coefficient, and loss rate of individual products in the same category are summed according to the weight of sales, and the corresponding average cost, cost add-on coefficient, and average loss rate of the category are obtained. This initially achieves a negative correlation between the sales trend and the cost add-on coefficient using a function. Then, by constructing a LSTM neural network model and using known data to predict the sales of each category, the predicted sales volume of the model is used as the sales benchmark value. The relationship function between the sales trend and the cost add-on coefficient is supplemented, and the optimization algorithm is used to find the cost add-on coefficient value, the total daily replenishment quantity, and the maximum profit value that maximize the profits of supermarkets.
Survey and Research on the Long-term Mechanism for Increasing Farmers' Income in Anhui Province Empowered by Digital Rural Construction
Authors: Wang Yihan , Gao Zechen , Fang Kun , Shao Ruitong
Published: June 2024

This article studies the impact of digital village construction on farmers' income increase, and takes Anhui Province as an example for in-depth analysis. The article firstly outlines the background and significance of digital village construction, then discusses in detail the application of digital technology in agricultural production, management, service and rural governance, and analyzes how these applications can promote farmers' income. Then, the article further discusses the impact of regional differences on the role of farmers' income, pointing out that different regions should formulate targeted development strategies according to their own characteristics. Finally, the article summarizes the important achievements and findings of digital village construction in Anhui Province, and puts forward the proposal of constructing an assessment and evaluation index system for digital village construction, with a view to promoting the sustainable development of digital village construction and helping the cause of rural revitalization to flourish.
Research on the Method of Light Intensity Detection based on Kalman Filtering
Authors: Yuan Haining
Published: June 2024

A light intensity detection algorithm using Kalman filtering is proposed for the usage of data fusion in multi-sensor scenarios, like industrial control, machine vision, and navigation systems. In traditional measurements, the result is often faced with noise interference, causing accuracy problems. This algorithm Kalman filtering can be a good solution to noise signal reduction and provide optimal estimation in various domains that need prediction. As Kalman filtering is suitable for light intensity measurements, This work experimented with the steps shown below. First, the light intensity data is reported by sensors, and the mean and standard deviation of the measurement data are calculated; Second, by introducing a Kalman filtering model into the detecting model, the precision of estimating is improved, and the reliability of the system is enhanced; Finally, the data and diagram are exported by Matlab, and the Kalman filtering algorithm is compared with classical algorithms like moving average, median filtering. The experimental data shows Kalman filtering can be better applied to state estimation and signal processing domains, and the average light intensity data is 949.744. This result supports that Kalman filtering provides a robust and efficient method and it bed-covers the future research in improving the precision in light intensity measurements.
A Study on the Financial Performance of Chinese Artificial Intelligence Listed Companies Based on the DEA-Malmquist Model
Authors: Lyu Rongbin , Cui Cancan
Published: June 2024

This study aims to assess the financial performance of Chinese AI-listed companies. It utilizes the DEA-Malmquist model to conduct static and dynamic analysis on data from 2018 to 2022. The findings indicate that these companies generally perform well financially, with room for improvement. Technological Progress emerges as the primary driver of enhanced financial performance in the industry. While Total Factor Productivity fluctuates, it shows an overall growth trend. Based on these results, the study offers specific recommendations for enterprises and policymakers to foster the healthy development of the Chinese AI industry.
How college clubs affect freshmen’s development?
Authors: Liu Hanyue
Published: June 2024

This study investigates the influence of college clubs on the personal development of freshmen at the Chinese University of Hong Kong, Shenzhen. Utilizing a survey methodology, the research examines freshmen's preferences for different types of clubs and the subsequent impacts on their academic performance, social skills, and career aspirations. Findings indicate that participation in college clubs enhances social competencies, provides a platform for leadership and teamwork skills development, and enriches students' extracurricular lives, potentially influencing their career perspectives. The study highlights the significant role college clubs play in fostering an environment that supports the holistic development of freshmen, encouraging active engagement and personal growth within the university setting.
Efficacy of Martial Arts in Higher Education Affecting Students’ Psychosocial Behavior and Academic Performance
Authors: Zhang Honglei
Published: June 2024

Martial arts, rooted in Chinese martial arts traditions, provides an avenue for cultural appreciation. In higher education, exposure to martial arts can enhance students' understanding and appreciation of diverse cultural practices; martial arts offer an alternative and culturally rich approach to physical education in higher learning institutions, diversifying the options available for students seeking physical activity beyond conventional sports. This paper draws the following conclusions: (1) The efficacy of martial arts in higher education is contingent on thoughtful program design, addressing individual differences, and recognizing the broader impact on students' psychosocial behavior and academic experiences. (2) The practice of martial arts forms and mindfulness techniques contributes to emotional balance, positively impacting the mental resilience necessary for academic success. (3) Martial arts education instills discipline and self-control, transcending the physical domain to influence positive behavioral outcomes. (4) Students participating in martial arts programs often exhibit increased self-discipline, responsibility, and a proactive approach to academic challenges, fostering a conducive learning environment. (5) Martial arts education's efficacy lies in its ability to promote holistic promote the holistic development. By combining physical fitness with mental focus and discipline, martial arts contribute to a well-rounded educational experience, nurturing not only academic excellence but also personal growth and character development.
Research on the prediction of sports competition results based on momentum modeling
Authors: Hu Kan , Ke Mingyi
Published: June 2024

This study examines the role of “momentum” in sports competitions. Using a trained model to predict all samples, we analyzed the correlation and effect of “momentum” with athletes' scores through Pearson's correlation coefficient and one-way linear regression. The results showed that “momentum” was moderately correlated with athletes' scores and had a significant effect on the outcome of the game. We also built a judgmental descriptive model, aggregated and normalized the data, and performed binary logistic regression analysis. The results show that the model has good accuracy in predicting whether an athlete will be able to win a race. In addition, we validated it using machine learning algorithms and plotted ROC curves and AUC values. The results show that traditional machine learning models perform well in predicting the outcome of a single match. Finally, suggested strategies are proposed for different types of players, including studying the opponent's game video in depth, emphasizing on psychological preparation, making specific tactical plans, and maintaining flexibility and adaptation to improve performance in the game.
A Review of Research on Marine Main Propulsion Systems
Authors: Peng Baolong
Published: June 2024

Ship power, as an essential component of ship engineering, directly affects the navigation performance, economy, and environmental friendliness of ships. This article reviews the development history of ship power, introduces the main propulsion devices including internal combustion engines, steam engines, and electric motors, and discusses the structure and optimization design of ship power systems. Modern ship power technology includes traditional diesel and gasoline engines, as well as new power devices such as liquefied natural gas (LNG) engines, hybrid power systems, and fuel cells. Electric ships are gaining attention due to their efficiency and environmental benefits. In the future, ship power technology will develop towards green environmental protection, intelligence, integration, diversification, and digitization, providing more reliable and efficient power support for the shipping industry and the advancement of ship engineering.
Comparative Analysis of Viscosity Measurement Techniques Poiseuille Method versus Falling Ball Method
Authors: Xue Jingbin , Cai Jingyan , Ding Haocong , Mao Zhiwang , Jin Zhuoning
Published: June 2024

In fluid dynamics and related fields, accurately measuring liquid viscosity is vital. The traditional falling ball method, common in education and research, faces challenges in ensuring uniform fall and correcting for phenomena like eddy currents. This thesis introduces a new device based on the Poiseuille method, measuring viscosity through pressure difference and adjustable flow rates. Comparing it with the falling ball method, we found the latter has an average error of 5.21%, while the Poiseuille method has only 1.23%. The Poiseuille method avoids issues like Reynolds coefficient correction and inaccuracies from high ball speeds, offering stability and practical value.
Analysis of 3D printing technology research status
Authors: Chen Yuhan
Published: June 2024

Three dimensional printing (3DP) is a kind of rapid prototyping technology, also known as additive manufacturing, it is a digital model file based on the use of powder metal or plastic and other adhesive materials, through layer by layer printing to construct the object technology. The complicated process can also be a problem. For products with complex structure, it is necessary to collect various structural information and correct printing equipment. And the material needs to be proved too. Nowadays its material is too normal. The high cost and non-replicability are also one of the important reasons for the cost increase. 3D printing technology has a wide range of application prospects and great significance, it can make personalized products, fast original manufacturing, reduce material waste. At the same time, it has a good design curve, and has far-reaching influence in many fields such as industry, medical care, education, and architecture. Through searching the data, this article understands the definition, principle, main process, application in different fields, significance and future development of 3D printing technology to understand 3D printing technology.
The Challenges and Countermeasures of Entrepreneurial Enterprise Strategic Planning
Authors: Fan Zhaoyi
Published: June 2024

The main challenges faced by entrepreneurial enterprises in strategic planning include the lack of experience and capabilities of entrepreneurs themselves, affecting the professionalism of strategic decision-making; limitations in resources such as funding and talent, constraining strategic execution; and misjudgment of market conditions and external policy changes, increasing decision-making risks. These challenges seriously impede the effectiveness of strategic implementation for entrepreneurial enterprises. In response, businesses can take three key measures: improving the systematic nature of strategic planning and execution, establishing flexible strategic adjustment mechanisms, and introducing external professional services. Firstly, establishing a scientific and systematic strategic management framework to accurately recognize market trends and proactively control risks. Secondly, setting up regular review mechanisms based on market and policy changes and making strategic adjustments when necessary. Lastly, collaborating with professional organizations to address the lack of experience and perspectives and minimize risks. Through the integrated application of these strategies, entrepreneurial enterprises can ensure the effectiveness of strategic planning and implementation in a complex and ever-changing environment, and gain momentum for sustained growth.
Path Exploration of How Photo Archives Enrich the Cultural Educational in Colleges and Universities
Authors: Xuan Shuangxia
Published: June 2024

Photo archives are an important component of cultural resources in colleges and universities, serve as a significant medium for campus cultural transmission, possess unique cultural education functions. Fully utilizing the cultural education power of photo archives is of great significance for colleges and universities, to improve the quality of education and implement the fundamental task of moral education. Based on a multidimensional analysis of the characteristics and research status of photo archive resources in colleges and universities, this paper elucidates the significance of enabling cultural education in colleges and universities through photo archives, explores the implementation approaches for empowering cultural education through photo archives, and provide guidance and reference for innovative cultural education paths in colleges and universities.
The Influence of Inventory Costs on Product Sales: An Analysis in the Global Sneaker Market
Authors: Feng Xiaofei
Published: June 2024

The pandemic has greatly impacted the global athletic shoe market, leading to supply chain instability and inventory management challenges. Taking the global athletic shoe market as an example, this study delves into inventory management issues from three aspects: store operations, price changes, and supply chain modules, and analyzes Nike's data in China and Vietnam in detail. The epidemic led to challenges, such as declining market demand, production disruptions, and supply chain problems, which affected the company's profitability. By analyzing inventory management strategies, this study proposes two key recommendations to help firms cope with uncertainty and improve inventory management efficiency. First, firms are advised to maintain moderate inventories to respond to changes in market demand flexibly. Second, inventory levels should be increased moderately through marketing programs and promotional activities to improve product competitiveness. These recommendations are intended to help athletic footwear and apparel companies meet the challenges of reducing inventory costs, increasing product sales, and ultimately achieving inventory management success during the epidemic.
Comprehensive Analysis of Advancements and Challenges in Smartphone Semiconductor Technology
Authors: Pan Yao , Yang Bohong
Published: June 2024

The unprecedented proliferation of smartphones globally has revolutionized communication, information access, and daily life activities. This remarkable growth is largely attributed to rapid advancements in semiconductor technology, which is at the heart of these devices. Semiconductor technology, encompassing processors, memory, and sensors, has been pivotal in enhancing the performance, efficiency, and functionality of smartphones. This paper presents a comprehensive analysis of semiconductor technology in modern smartphones, addressing the principles and advancements of core components such as processors, memory, and sensors. It highlights how miniaturization of transistors, advanced storage solutions, and innovative sensor technologies enhance smartphone performance, efficiency, and functionality. The challenges faced by semiconductor technology, including physical limitations, energy efficiency, heat management, and environmental sustainability, are also explored. Additionally, the paper discusses future prospects, emphasizing potential breakthroughs with extreme ultraviolet lithography, two-dimensional materials like graphene, and intelligent manufacturing techniques. These advancements promise to overcome current limitations, offering faster computational speeds, lower energy consumption, and reduced environmental impact. The study underscores the pivotal role of semiconductor technology in driving smartphone innovation while acknowledging the critical challenges that need addressing for future development.
Comprehensive Evaluation of High-quality Development of Higher Education in the Cities of the Guangdong-Hong Kong-Macao Greater Bay Area
Authors: Zhan Rongfu , Wu Jun , Wang Sanan
Published: June 2024

Using cluster analysis to explore the differences and characteristics of higher education development in the Guangdong-Hong Kong-Macao Greater Bay Area, the study reveals that: the first category is Guangzhou, the second is Macao, and the third includes Hong Kong and Shenzhen, indicating significant disparities in the level of higher education development among various cities in the Greater Bay Area. The differences in higher education development within the Greater Bay Area stem from influencing factors such as the proportion of international students to total student population, average student enrollment, per-student educational funding, the ratio of educational funding to GDP, the number of countries (or regions) from which international students originate, and the proportion of senior titles among full-time faculty. Based on the analysis of the causes of these differences, combined with the internal characteristics of each city, the study ultimately proposes optimization strategies in three areas: enhancing international educational influence, increasing educational funding, and strengthening the construction of the teaching staff.
Examining the Effect of Cognitive Behavioral Therapy on Anxiety Disorders from a Neurological Perspective
Authors: Dong Sichen (Iris)
Published: June 2024

Cognitive Behavioral Therapy (CBT) stands out as an effective approach for addressing anxiety disorders. The advancement of neuroimaging technologies, including Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and Functional Magnetic Resonance Imaging (fMRI), has provided scientists with invaluable tools to delve into the study of mental disorders. This essay aims to explore recent evidence supporting the neurological basis of CBT's effectiveness in treating anxiety disorders. Beginning with an introduction to the concept of emotion regulation and cognitive fear structure, this essay proceeds to analyze experimental results, elucidating the fundamental mechanisms underlying anxiety disorders and presenting compelling scientific evidence attesting to the efficacy of CBT.
Redefining “Locale”: The Formation of Internet Celebrity Spaces and Media Localization—A Case Study of the TV Drama “Where the Wind Blows”
Authors: Zhang Jingyun
Published: June 2024

With the assistance of TV dramas, the emergence of internet celebrity spaces on social media has become an undeniable phenomenon. Various "internet celebrity cities" and distinctive "celebrity check-in spots" have sprung up, profoundly altering the relationship between audiences and cities or locales. The TV drama "Where the Wind Blows" played a significant role in constructing a sense of place for Dali, Yunnan, through its unique portrayal, and its distinctive "check-in" culture successfully attracted a large audience's attention. This paper employs methods such as content analysis, questionnaire surveys, and in-depth interviews to systematically reveal the phenomenon of media localization triggered by TV dramas in internet celebrity spaces. It thoroughly analyzes this phenomenon from three aspects: the role of scene understanding and perception, the connection between place perception and culture, values, and the influence of place perception on individual life experiences. This research contributes to a deeper understanding and recognition of the concept of "media localization" among audiences and provides new insights and methods for exploring the association between internet celebrity spaces and TV dramas.
The Historical Evolution, Current Challenges and Generation Paths of General Education in Colleges and Universities from the Perspective of Curriculum Ideological and Political Education
Authors: Wang Wei
Published: June 2024

Curriculum ideological and political education is to integrate ideological and political education into the whole process of education. It is a “all-faculty, whole-process, all-around” education model that pursues the unity of knowledge imparting and value guidance, and finally achieves the purpose of “strengthen moral education for cultivating people”(“Li De Shu Ren”). General education is a type of curriculum system in colleges and universities, and is an indispensable part of curriculum ideological and political education. Based on a review of the historical development of general education, this article analyzes the challenges that general education faces in the “Great Ideological and Political Education”(The educational concept contained in the “Great Ideological and Political Education” emphasizes the combination of ideological and political education with social practice, focuses on integrating and connecting educational resources, advocates extending educational space from the classroom to society, and better meets the requirements of the times.), and finally puts forward some reference suggestions from the aspects of institutions, systems, and evaluation.
A Decision Model for Pricing and Replenishment of Vegetable Products Based on Lagrangian Function Optimization
Authors: Mei Huaping , Li Jiarong , Pan Chao
Published: June 2024

In the era of big data, superstores usually replenish and price their products based on the historical sales and demand of each item. Based on data mining, this paper analyzes the correlation between different categories using a gray correlation analysis model, then fits the relationship between total sales and cost-plus pricing for each vegetable category, and uses a time series forecasting model to predict the wholesale price and sales volume of six types of vegetables in the week of July 1st to 7th. By establishing a Lagrangian function-based optimization model with the objective function of maximizing the profit of the superstore, the total daily replenishment of each category and the cost-plus pricing as the decision variables, and traversing the solution with a step size of 0.5 sales, the total daily replenishment and the pricing strategy for the next seven days can be formulated, and the total return of the superstore in the coming week is found to be 2264.41 yuan. The optimization model based on profit maximization of superstores used in this paper provides reliable theoretical support and practical guidance for merchants to predict market conditions and plan future replenishment and pricing strategies.
Research on survey line arrangement of a multibeam bathymetric system in ocean mapping
Authors: Xu Hongtao , Zhang Feiyu , Wang Yuyang
Published: June 2024

Submarine topography measurement technology is an important technology for exploring marine resources. Multi-beam bathymetry systems have high efficiency and important application value in underwater resource surveys, marine delimitation, and other fields. They are currently one of the most widely used measurement technologies. This study aims to optimize multi-beam bathymetry technology and apply it to seabed topography measurement, achieving a transition from point measurement to line measurement and minimizing measurement paths. A mathematical model was established for the coverage width and overlap rate between adjacent bands of multi-beam bathymetry at a given water depth based on planar geometric modeling and three-dimensional geometric modeling. The model was applied to a rectangular sea area with a length of 2 nautical miles (3704 meters) from north to south and a width of 4 nautical miles (7408 meters) from east to west. The optimal survey line planning was obtained as follows: all survey lines are in the north-south direction, with a total of 34 survey lines and a total length of 68 nautical miles. This model has good solution results for optimizing the layout of survey lines under different seabed conditions and can adjust important parameters of the system according to different conditions. The model has broad practical significance and can provide a reference for ocean-sounding work and other fields with high accuracy.
Numerical Simulation Analysis of Seismic Performance for Framework Structure Based on Rayleigh Damping Algorithm
Authors: Kang Zixia , Zhou Weida , Bianba Luobu
Published: June 2024

Seismic analysis of engineering structures can effectively ensure social and public safety, and in engineering practice. The elastic-plastic time history analysis of reinforced concrete frame structures is a more accurate analysis method for evaluating the seismic performance of the structure. According to relevant regulations, the seismic fortification intensity of a certain frame structure is 6 degrees. To analyze its seismic performance under earthquake action, this paper uses ABAQUS numerical simulation software combined with Ruili damping algorithm to establish a seismic model of the frame structure. The research results indicate that: (1) By calculating the interlayer displacement angle, the interlayer displacement angle of each layer meets the requirements of the specification, and the structure has good seismic performance. (2) The peak acceleration difference between the top layers of the structure decreases first and then increases from the bottom to the top. (3) There is a coupling relationship between structural deformation and the acceleration of the structure itself, and a coupling relationship between interlayer deformation and the peak stress at the top of the interlayer.
Research on automatic pricing and replenishment strategy of vegetable commodities based on ARIMA algorithm
Authors: Li Zhang’ang , Li Tang , Zhang Kaili
Published: June 2024

In just a few years' time, supermarkets have transformed from a novelty into a mainstream channel that unifies the retail world. Since superstores sell vegetables with a wide variety of types, different origins, and shorter freshness periods, the incoming transaction time of vegetables is often in the early morning, so superstores usually replenish their stocks on a daily basis according to the historical sales and demand of each commodity. First, this paper visualizes the historical data of vegetable commodity purchasing and pricing in superstores in order to observe the distribution characteristics and trends, and then analyzes the correlation between categories or individual products using statistical methods such as correlation factors and covariance. To predict replenishment and pricing strategies for the coming week, this paper analyzes the relationship between overall sales and cost-plus pricing for each vegetable category, using given sales data to establish the relationship between sales volume and price for each category. Based on the ARIMA predicted sales model and given costs, the optimal replenishment quantities and pricing strategies were determined using an optimization algorithm.
Changes in Financial Performance of BL Pharmaceuticals before and After the Equity Incentive Plan and Its Implications
Authors: Xu Yihan , He Ronghua
Published: June 2024

Taking BL Pharmaceuticals as an example, this paper analyzes the changes in its financial performance before and after the implementation of the equity incentive plan, and discusses the implications of the equity incentive plan for enterprise development. It is found that after the equity incentive plan was put into effect, BL Pharmaceuticals' financial indicators such as operating income, net profit and net asset value all showed significant improvement. In addition, the work motivation of the employees of the enterprise has been well stimulated, thus promoting the development and innovation of the enterprise. Equity incentive programs have a very obvious role in the motivation and development of enterprises, but they also face certain risks and management challenges. Therefore, enterprises should develop a more reasonable equity incentive plan, focusing on the construction of internal management mechanism and talent management system, in order to ensure the effectiveness and continuity of the incentive policy.
Enzyme-Catalyzed Synthesis in Pharmaceutical Manufacturing
Authors: Zhao Ziyi
Published: June 2024

In recent years, with the progress of science and the rise of green chemistry, enzyme catalysis technology has been highly valued as an important branch of green chemistry. Due to the development of biotechnology, enzyme catalysis technology has been increasingly used in organic synthesis, especially asymmetric synthesis, the synthesis of optically active compounds and natural products. It has been applied in medicine, food and textiles industry. Among these application areas, the pharmaceutical field has been a hot topic in enzyme catalysis technology in recent years. The application of enzyme catalysis technology in the pharmaceutical industry is a means to promote sustainable and environmentally friendly practices. It helps to solve continuously upgrading environmental problems and promote the green development of the industry. Therefore, conducting research on enzyme-catalyzed synthesis in pharmaceutical manufacturing is of great significance. In this work, several practical examples of enzyme catalysis techniques used in the pharmaceutical industry are introduced and discussed.
Preface: 4th International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2023)
Authors: Ge Hanbin , Sikora Axel
Published: June 2024

The organizing Committee of MECAE 2023 warmly welcomes you to join the 4th International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2023), held in Qingdao, China during December 9-10, 2023.
The aims of the conference are to provide an interactive platform for the academicians, R & D organizations, industries, innovators, entrepreneurs, government agencies and policy-makers etc., from both China and abroad to exchange ideas on recent researches and advances in the domain of mechanical, electronic, control and automation Engineering with its prospective application in the various interdisciplinary domains of engineering. This three-day conference is being organized in technical association with Asian Union of Information Technology and will include invited keynote talks and oral paper presentations from both academia and industry to ignite our young minds, to initiate them in the field of meaningful research and thereby enrich their existing knowledge.
MECAE 2023 has received 42 manuscripts. And 10 submissions have been accepted by our reviewers. Articles submitted to the conference should report original, previously unpublished research results, experimental or theoretical and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic.
Hopefully, all participants and other interested readers benefit scientifically from the proceedings and also find it stimulating in the process.
Conference Organizing Committee.
Research Progress and Prospects of Bipolar Plate Materials for Proton Exchange Membrane Fuel Cells
Authors: Li Wenjun
Published: June 2024

The bipolar plate is an essential component of proton exchange membrane fuel cells (PEMFC), with crucial functions such as gas separation, cooling, conduction, heat dissipation, and water ejection. The advancement of proton exchange membrane fuel cell technology relies on the performance of the bipolar plate. Recognizing the significance of bipolar plates for PEMFC functionality, researchers have been striving to create bipolar plates with high conductivity, good gas tightness, appropriate mechanical properties, corrosion resistance, and cost-effectiveness. This paper provides a detailed analysis of recent research progress on bipolar plates, aiming to contribute to the development of new and optimized products in the PEM fuel cell industry. The study in this paper focuses on three aspects: (1) Introduction to the polymer electrolyte membrane (PEM) fuel cell technology system and development directions, (2) Discussion on the structure of carbon-based fillers and their impact on the final electrical performance of composite bipolar plates, (3) Introduction to the Dual Percolation Effects of resins and Their Applications.
Impact of Organizational Support in Colleges and Universities on Teachers’ Work Performance and Job Satisfaction: Basis for Faculty Support Program
Authors: Wang Liduo
Published: June 2024

This research combines the theory of organizational support with the organization of colleges and universities. The purpose of the research is to explore the impact of organizational support in colleges and universities on teachers’ work performance and job satisfaction so as to provide a new path for improving teachers' job performance. The researcher has chosen this study to formally analyze and prove her institutional theories and observation. Universities in China are very particular in improving their performance in this so-called “global era of educational transformation.” The researcher noticed certain challenges in their university, mainly on teachers’ retention, work performance, and job satisfaction. This paper attempt to critically and comprehensively assess and evaluates these factors and helps teachers and even university leaders to see and reflect among themselves what programs and policies they need to join and/or implement: all for the growth and betterment of the students and the whole university.
Analysis Of the Current State of Green Economy Development in China and Abroad
Authors: Tan Jinting
Published: June 2024

Since the turn of the 21st century, China's energy structure has undergone a gradual transformation, and its economy has exhibited steady growth. With the introduction of the concept of a community of human destiny and the implementation of the goal of carbon neutrality, the 'green economy' has garnered widespread attention and has been vigorously promoted. However, China's environmental problems have gained attention in recent years, and the economy requires urgent green development. As per the Paris Climate Agreement of 2015, China has committed to peaking its emissions around 2030 and achieving carbon neutrality by 2060. This is a significant strategic decision based on China's responsibility to promote the construction of a community of human destiny and the intrinsic requirement to achieve sustainable development. China's commitment to transition from carbon peak to carbon neutrality is much shorter than that of developed countries and requires hard work on China's part. This article discusses the advantages and disadvantages of China's green economy and analyses the development policies of foreign countries to promote its growth.
A Review of Orchard Robot Research
Authors: Wang Shaoxiao
Published: June 2024

In modern agricultural production, orchards, as one of the important agricultural fields, are facing difficulties such as labor shortage, low production efficiency, and rising costs. To cope with these difficulties, orchard robots were introduced as an emerging technology. With the rapid development of robotics, artificial intelligence and machine learning, the application of intelligent robots in the agricultural field is becoming more and more mature. Advances in sensing technology, navigation technology, image recognition and other technologies have provided technical support for the research and application of orchard robots. Through the precise operation of orchard robots, precise management of orchard crops can be realized, including precise fertilization, pest and disease monitoring, directional irrigation, etc., so as to improve the yield and quality of orchards. This increases production efficiency, reduces costs, increases yields, and drives agriculture towards sustainable development. This paper combs the research status of picking robots by combining literature collation and market research, shows the scientific research results of various types of orchard picking robots at home and abroad, makes an in-depth analysis of the existing problems, and discusses the basic system composition of orchard picking robots Existing problems, and propose solutions to the problems found. Orchard picking robot has a huge application space in China, but due to the difficulty of research and development, there are still few economical and practical orchard picking robot products at home and abroad. It is necessary to increase the research and development of intelligent picking robots, integrate multidisciplinary high and new technologies, vigorously carry out innovative research on intelligent picking technology and equipment, improve the precision, portability, and low cost of robots, and promote the early application of orchard picking robots in China.
MOFs for capturing carbon dioxide after combustion
Authors: Liu Meixuan
Published: June 2024

The expanding population and technological advancements are driving the energy demand. The overuse of conventional petroleum fossil fuels has resulted in large emissions of greenhouse gases, which cause global warming and other problems. Controlling carbon dioxide emissions is therefore essential to reducing greenhouse impact. Among the numerous benefits of metal-organic frameworks (MOFs) are their high porosity and vast interior surface area. They are now the most promising adsorbent materials and have a wide variety of applications in the adsorption and separation of gases, including carbon dioxide. To address the mechanical, chemical, thermal, and water stability of MOFs, this article first provides an overview of their structure and synthesis design techniques. Next, this article addresses the selectivity of MOFs for nitrogen and water as well as the adsorption process of CO2 in MOFs. The techniques for modifying MOFs, such as pore size-controlled MOFs, targeted metal unit modification, and functional group modification to improve adsorption and separation performance, were highlighted last.
A Review of Research on Writing Self-Efficacy
Authors: Li Qian
Published: June 2024

This paper reviews and synthesizes research on writing self-efficacy. Firstly, it delineates the conceptual framework of writing self-efficacy. Subsequently, it meticulously analyzes and summarizes the current state of research on writing self-efficacy, including exploration of the overall level of writing self-efficacy, investigation into the relationship between writing self-efficacy and writing performance, examination of methods for cultivating writing self-efficacy, exploration of measurement tools for writing self-efficacy, analysis of the association between writing self-efficacy and student anxiety levels, and discussion on the relationship between writing self-efficacy and assessment methods. Finally, it critically evaluates the existing research, identifying shortcomings in research content, methods, and subjects, as well as proposes future directions for improvement.
Research on Path Planning Method based on Graph Search Algorithm
Authors: Shi Langyu
Published: June 2024

Path planning, crucial in robotics and autonomous vehicles, involves finding efficient routes from start to finish while avoiding obstacles. Graph search algorithms like BFS, DFS, and A* are commonly used for this purpose. This research focuses on analyzing these algorithms' performance and applicability in diverse scenarios. The study provides a comprehensive overview of path planning's definition, application domains, and fundamental principles. It then delves into the core graph search algorithms: BFS explores nodes layer by layer, ensuring the shortest path is found first but suffering from high time complexity. DFS explores nodes in a depth-first manner, potentially leading to shorter paths but risking getting trapped in local optima. In contrast, A* combines the strengths of BFS and DFS by using heuristic functions to guide the search for the cheapest path to the goal. Despite their utility, graph search algorithms have limitations. The high time complexity of A* in large-scale environments and the potential for local optima are key challenges. To address these, research explores improved methods like GBFS and bidirectional A* search. The future direction of research includes developing more efficient heuristic functions, exploring hybrid algorithms, parallelizing path planning, and applying these methods to new domains like autonomous drones and self-driving cars. This research paves the way for more robust and efficient path planning algorithms in various applications.
Research on Probity Culture into Practical Teaching of Ideological and Political Theory Course in Colleges and Universities
Authors: Chen Wenwen
Published: June 2024

The integrity literacy of young college students is related to their future development, and the integration of the culture of integrity into the practical teaching of ideological and political theory courses helps to give full play to the function of educating people, and promotes the realization of the fundamental task of establishing morality and educating people. Based on the status quo of the practical teaching of ideological and political theory courses in colleges and universities, this paper puts forward suggestions on the implementation path from the aspects of practical teaching content and methods, realizes the isomorphism between clean and honest construction and ideological and political education, and improves the quality of talent cultivation while passing on the clean and honest culture to promote the construction of clean and honest.