bluuebunny/crossref_metadata_2025 huggingface dataset:
Association of Components of the Mediterranean Diet with Food Allergies
Authors: Deng Shifan
Published: July 2024

There is a rising incidence of food allergies, and both children and adults suffer from it. Existing research suggests that avoidance of food allergy relies more on avoiding exposure to food allergens in one's life. However, this method of eliminating food allergy through passive elimination may cause nutritional deficiencies, especially in children during their growth period. On the other hand, most of the food circulating may contain other chemical ingredients that can also cause food allergies. Therefore, this review discusses the effect of the components of the world recognized healthy dietary pattern (Mediterranean Diet) on food allergy, and finds that olive oil, fruits and vegetables, vitamin D (VD) rich foods all have anti-inflammatory and immunomodulatory effects, with the potential to ameliorate food allergy. The aim of this review is to provide new ideas and options for the improvement and prevention of food allergy in the future by exploring the anti-inflammatory and immunomodulatory roles and related mechanisms of the components of the Mediterranean diet. However, there is still a lack of in vivo experiments on humans in related studies, and there is a need to expand the sample size going forward to increase the direct evidence of food allergy amelioration by various components of the Mediterranean diet.
Research and Practice of Integrating Ideological and Political Education into the Teaching of Sales and Negotiation Courses
Authors: Yu Tongwen , Wu Jun
Published: July 2024

This paper conducts an in-depth analysis of the current status of integrating ideological and political education into sales and negotiation courses in higher vocational colleges. It points out issues such as the fragmentation of ideological and political elements, the monotony of teaching methods, the ambiguity of the evaluation system, and the insufficient emphasis on practical orientation. To address these issues, the paper proposes a series of solutions: systematically exploring and integrating ideological and political elements in the curriculum, innovating teaching methods to enhance classroom interaction and practicality, establishing a comprehensive evaluation system to scientifically assess students' learning effects in ideological and political education, and strengthening the practical orientation of the curriculum to enhance students' practical application ability and social responsibility.
Current Status and Optimization Strategies of Physical Fitness Training for the Elderly in the Digital Age
Authors: Tan Mingtian
Published: July 2024

With the advent of digital technology and the improvement of people's living standards, the decline of physical fitness among the elderly has become an urgent problem to be addressed. Physical fitness typically includes abilities such as strength, flexibility, agility, speed, coordination, and other capacities, which not only play an important role in athletic performance but are also crucial for the daily lives of the elderly. This study investigates the current state of physical fitness training for the elderly in the digital age and aims to explore the optimization of scientific approaches and the role of digital products in improving training strategies. Through literature research and logical analysis, this paper collects and analyzes related data to further explore the status of the elderly's physical fitness training and their training strategies under the empowerment of science and technology. The investigation of related materials reveals that currently, the elderly have a low awareness of scientific training, especially regarding the concept of scientific training. Moreover, the main activities engaged in by the elderly for physical fitness training are fitness Qigong, square dancing, and other similar projects, which indicates that the elderly tend to engage in aerobic exercises and meet their psychological needs through group activities. By integrating current large-scale digital technologies and scientific products, the paper proposes optimization strategies for the elderly's training. These include utilizing robot learning and smart devices to collect information through smart devices, analyzing the collected data using large models to develop individualized training programs to improve efficiency. Additionally, wearable devices like smart bracelets, Firstbeat heart rate monitoring systems, and Gymaware monitoring systems can collect data on the body, reflecting physical conditions and further reducing the risk of injury. VR virtual interactive technology can be used to train cognitive responses, and VBT technology can make exercises more efficient, reducing the risk of injury. As technology continues to advance and awareness increases, achieving a healthy China is within reach.
Research on the Sex Ratio Variation of Sea Lampreys and Its Ecological Impact Based on the Lotka-Volterra Competition Model
Authors: Tang BoWen , Wang JingYu
Published: July 2024

Changes in sex ratio are a common adaptive phenomenon in biodiversity-rich ecosystems, which is reflected in many species, and the adjustment of the sex ratio of sea lampreys reflects its response to resource constraints and is critical for maintaining ecosystem stability. In this study, the population of sea lampreys was taken as an example, and the Lotka-Volterra competition model was used to explore the changes in the sex ratio of sea lampreys with environmental resource conditions. We found that the sex ratio of sea lampreys could reach 78% of the total population in an environment with a low food supply rate. In environments where food is more readily available, males make up about 56% of the population, which means that the population size of sea lampreys can have a significant impact on the changes in the population of competing species, affecting the time of extinction of the species and the population size in the early competition. Finally, we explore the ecological effects of sex ratio and resource availability.
Marketing and Digital Transformation: Trends, Challenges and Opportunities
Authors: Zhang Bohan
Published: July 2024

This essay explores the relationship between marketing and digital transformation and analyses the impact, trends, challenges and opportunities of digital transformation on marketing. Firstly, it introduces the concept and characteristics of digital transformation, as well as its impact and significance on marketing. Then it analyses the global digital transformation trends and application practices in different industries, as well as the impact of digital transformation trends on marketing. Next, the technological, organizational and market challenges faced by digital transformation and the marketing opportunities it presents are discussed. Finally, the importance of data-driven personalized marketing strategies, omni-channel marketing and user experience enhancement, data analytics and market forecasting, as well as innovative marketing strategies and product design in digital transformation is highlighted. The paper concludes that with the continuous development of digital technologies, only by constantly innovating and adapting to market changes can companies maintain their competitive advantage and achieve sustainable development in the wave of digital transformation.
Research On the Legal Legitimacy and Current Situation of Village Regulations from The Perspective of Legal Pluralism
Authors: Yuan Shengyuan
Published: July 2024

With the continuous progress of China's legal construction process, the problem of China's rural legal governance has become increasingly apparent. Based on the perspective of legal pluralism, compared with the top-down laws enacted by the state, the folk law plays the function of law in a broader sense, with more direct mechanism of action and more far-reaching social connection. The folk law needs to be paid attention to, and the folk law needs to be modified and institutionalized. The problems of weak legal consciousness, deviation of legal understanding and low enthusiasm for legal study. As the representative of the folk law, there are obvious deficiencies in the formulation, review, implementation and remedy of written village regulations in rural China. Solving the above problems is a key step in the construction of rural rule of law in China. Based on a full analysis of the importance of the folk law in the context of legal pluralism, this paper takes H village in S Province as an example to affirm the importance of village regulations to the rule of law governance in rural areas. At the same time, it takes H village in S Province as a model to discuss the existing problems of village regulations, to provide a basis for further improving the legal system of village regulations and promoting the rule of law governance in rural areas.
Analysis of Shaolin Documentary Viewpoints Based on Scientific and Technological Views
Authors: Youwen1 Yang , Mohd Ali Hamdan
Published: July 2024

The Shaolin Martial Arts Written Examination is a written examination that tests the system and scientific knowledge of Shaolin culture and martial arts curriculum. Students use the course knowledge they have learned to conduct a conclusive review of the course unit content and system module knowledge in a focused and organized manner. a process of evaluation. This article analyzes the physical education written examination based on the dialectical thinking method in science and technology research, and points out that there are serious deficiencies in the current physical education teaching process compared with the martial arts cultural examinations. Based on the common sense experience of life and martial arts practical class teaching in physical education and health courses, Shaolin regularizes The written test on martial arts culture highlights its scientific basis.
Application And Analysis of Flexibility in Cross-Border E-Commerce Supply Chain: A Case Study Of SHEIN
Authors: He Zhuoying
Published: July 2024

This study takes the Chinese fast-fashion cross-border e-business brand SHEIN as a case object and discusses the application and effect of flexible supply chains in its supply chain management. Firstly, it introduces the basic concept and advantages of a flexible supply chain. It also analyses the current status of SHEIN’s current supply chain digital system and software construction and the existing problems. Secondly, it explains how SHEIN’s flexible supply chain can help the brand improve its operation capability and profitability and provides suggestions and methods for other same time of enterprises to improve their competitiveness by using flexible supply chains through case analysis. Subsequently, the planning, procurement, production, distribution and return aspects of SHEIN’s supply chain are analyzed in depth using the SCOR model. Finally, SHEIN’s application of a flexible supply chain is summarised, pointing out its great success and challenges, as well as the problems and development trends facing the fast fashion industry.
Analysis and Suggestions of Luckin Coffee’s Promotion Strategy from the Perspective of Communication
Authors: Peng Xinyi
Published: July 2024

Luckin Coffee adheres to the concept of "pursuit of quality and convenience", conforms to the fast-paced life concept of contemporary society, and is committed to creating a quality coffee belonging to China. It will add impetus to the establishment of Luckin Coffee's brand image and the improvement of its popularity. However, in the process of publicity, Luckin Coffee also exposed various problems in the establishment of its public relations image. On the one hand, Luckin Coffee ignores the effectiveness of information processing in the communication process, which damages the public relations image to a certain extent, and on the other hand, the brand added value of Luckin Coffee is low, which is also a key factor that makes Luckin Coffee a low-grade brand. In this regard, Luckin Coffee should pay attention to the effectiveness of information processing in market image promotion and increase the added value of products by tapping the cultural process of its industrial development, so that Luckin Coffee can improve its brand position and get more long-term development. This paper mainly adopts literature analysis, and through the analysis of Luckin Coffee's product publicity strategy, it can be concluded that Luckin Coffee has skillfully used the characteristics of communication in brand promotion. However, the lack of handling of public relations image and the grasp of information effectiveness is a problem to be solved in Luckin Coffee's sustainable development agenda in the future.
Intelligent Diagnosis and Prediction of Plant Diseases Based on Efficientnet_B3a
Authors: Liu Jian , Huang Ruodi , Ma Xinru
Published: July 2024

Crop diseases pose a significant threat to agricultural production, affecting plant growth, reducing yields, and ultimately hampering the agricultural economy. Therefore, accurate detection of plant diseases is paramount. Recent advancements in deep learning have demonstrated superior performance compared to traditional recognition methods in the realm of intelligent diagnosis. Motivated by this, the present study employs a multi-network model based on transfer learning to identify 39 distinct types of plant diseases. We innovatively select the Efficientnet_b3a network model for plant leaf disease recognition. The Efficientnet_b3a is used for the first time in plant detection. This model boasts the advantages of high accuracy and low network complexity. To further validate its performance, we utilize three established network models, namely Resnet50, Google Net, and Inception_V3, as benchmarks for comparison. To validate the effectiveness of the Efficientnet_b3a model, this paper employs the publicly available Plant Village dataset to conduct training, validation, and testing on four different network models for comparative analysis. The experimental results demonstrate that the Efficientnet_b3a model achieves a remarkable recognition accuracy of 99.13% in plant disease identification, outperforming traditional network models. Notably, it manages to reduce the complexity of the network and improve the efficiency. At the same time, it is used in the rapid identification of some complex scenes. Compared with the classical complex network, the method verified in this paper has advantages in the rapid diagnosis of plant diseases. Furthermore, the model exhibits excellent network complexity, making it suitable for plant leaf disease recognition in practical agricultural production. This provides an efficient and accurate solution for disease detection in agricultural production, thus exhibiting broad application prospects.
Progress in the Application of Intestinal Flora in the Treatment of Depression
Authors: Li Zixin
Published: July 2024

Depression is a common mental disorder in modern society, which seriously threatens the mental health of patients. Many patients commit suicide because of it, which has a huge negative impact on families and society. There are many factors for depression. At present, research suggests that the composition of the gut microbiota is inextricably linked to the risk of depression. The brain and gut communicate with each other through the gastrointestinal tract and the nervous system, which enables the brain to adjust the local movement of the gut, and the function of brain is in turn influenced by the microbes in the gut. However, more experiments are needed to verify this conclusion. This paper mainly analyzes the mechanism of action between the brain and the gut between the gut and the brain, explores the connection between the two, and further analyzes the impact of the metabolites of the intestinal flora and neurotransmitters on the brain, so as to find the treatment of depression: Fecal microbiota transplantation and the intake of probiotics, as two new methods for the treatment of depression, can provide more accurate treatment for patients and solve the problem from the root cause. This article can provide some practical theoretical basis for related research. It is hoped that more researchers will be able to conduct more research in the future and make up for the vacancy of the experiment.
Architectural Ethnography on Refurbishment of Postindustrial Districts: A Case Study of Southern Yangpu Waterfront in Shanghai
Authors: Zhu Xunyu
Published: July 2024

This study highlights the need of revitalizing postindustrial districts in contemporary urban regeneration plans, with a specific emphasis on the commonly neglected element, the "user" experience after renovation. By using ethnographic approaches in architectural analysis, which is originally a human-centric methodology in sociology, this study reveals the intricate socio-cultural dynamics present in these refurbished places, emphasizing their ability to foster community involvement and cultural rejuvenation. Through deep examination of the case site, the southern Yangpu Waterfront in Shanghai, this research emphasizes the importance of observing and analyzing user experience in renovated environments, particularly in the refurbished postindustrial districts. Case studies suggest that from various architectural attributes of the refurbished postindustrial districts, such as architecture design, landscape design, installation design or applied technology, it is feasible to explore the connections between architectural features and the "user factor". This approach that uses empirical evidences could not only enriches the comprehension of the multifaceted nature of postindustrial refurbishment at the site but also underscores the importance of user-centric design principles in constructing inclusive and vibrant urban spaces. Ultimately, these findings contribute to the ongoing discourse on how postindustrial landscapes might be transformed and provide valuable information for designing ways to improve user experiences in urban planning. It also promotes the continuous exploration and enhancement of ethnographic methods in architectural research.
Research on Optimisation of Reconstruction Design based on Industrial Park: A Case Study of Beijing 798
Authors: Zhang Wei
Published: July 2024

With the rapid development of society, the reconstruction of industrial parks has become a focus of attention. This paper takes the Beijing 798 Art District as an example to introduce the development background of this historical industrial heritage area. Nowadays, the 798 Art District has many areas for improvement in the construction of public space, such as the demand for spatial convenience. It is mainly reflected in the parking regulation and space use problems caused by takeaway food delivery services. The takeaway workers often have to park their electric cars at the entrance of the park. Such behaviour seriously affects the facade and beauty of the park, but also brings inconvenience and security risks to tourists. Based on the analysis of the parking demand of 798 Art Park, this paper discusses and designs the special electric parking space of 798 Art Park. These parking Spaces are designed to integrate the unique industrial style of the 798 Art District to meet the public needs of the site and environment. Through the reconstruction and design optimization of special parking spots, the problem of disorderly parking by take-out workers is solved, and the overall image and visitor experience of the 798 Art District is improved. This research will further enrich the relevant methods and theories of the renovation of parking space in the old factory and provide a feasible reference and basis for the renovation of other parking areas in the old factory.
Progress of Therapy in Epilepsy
Authors: Hao Qingyi
Published: July 2024

Nowadays, over 50 million people worldwide suffer from epilepsy, with its origins often linked to brain injuries or genetic factors. Despite advancements in medical research, the cause of epilepsy remains elusive for approximately 70% of patients, highlighting a significant gap in our understanding of the disorder. Moreover, because of problems including medication resistance and side effects from conventional Antiseizure medications (ASMs), new approaches to therapy are needed. This review summarizes different mechanisms and Available therapies for epilepsy, and point out some new and developing treatments with an emphasis on precision medicine and innovative pharmacological targets. GPCRs and neuroinflammatory pathways have the potential to be effective therapeutic targets, according to some novel literature review. By customizing medicines to each patient's unique genetic profile, these developments, when combined with precision medicine, are increasing treatment efficacy and decreasing adverse effects. This research suggests that if this emerging discovery incorporated into clinical practice in the future, it may improve patient quality of life and worldwide epilepsy care and public health policies should be strengthened.
Data-driven Fixed Asset Management Innovation: Practical Exploration of Artificial Intelligence Applied to Data Analysis and Predictive Maintenance
Authors: Liu Yun
Published: July 2024

This paper explores the transformative potential of integrating artificial intelligence (AI) into fixed asset management, with a particular focus on its practical application in data analytics and predictive maintenance. Effective internal controls in fixed asset management are paramount for organizations seeking to strengthen competitiveness, minimize risk, and optimize asset utilization. By leveraging AI-driven data analytics, organizations can delve deep into their asset portfolios to gain comprehensive insights that inform strategic decision-making and facilitate proactive maintenance protocols. Through a comprehensive literature review and methodological overview, this study highlights the various approaches and cutting-edge technologies used in fixed asset management, underscoring the critical importance of accurate valuation, efficient asset utilization, and regulatory compliance. In addition, real-world case studies and practical applications underscore the tangible benefits and transformative potential of AI-infused asset management practices, demonstrating their ability to revolutionize conventional methodologies and drive organizational performance to unprecedented levels.
Exploring the Path of Cultural Intermingling with the World in East Asia
Authors: Wu Shuang
Published: July 2024

Since the reform and opening up, the Chinese ceramic culture has entered a new period. As an important cultural symbol since ancient times, ceramics has begun its modern evolution. The cross-cultural communication of ceramic culture can be regarded as a diversified process of industry and art on the two sides of inheritance and innovation. Not only that, the ceramic culture is experiencing a process of internationalization and modernization, the international influence of the ceramic culture is deepening, and the cultural symbols of ceramics are also in urgent need of modern expression. The history of ceramic culture will be the profound foundation for the modernization of ceramic culture in the future, promoting the modernization of ceramic culture as the symbol of Chinese culture.
Optimization Study of BOG Treatment Technology in LNG Receiving Station
Authors: Wang Yaqian
Published: July 2024

The use of regasified liquefied natural gas (LNG) and biogas (BOG) as fuel for LNG-fueled ships often results in wasted cooling energy. To address this problem, BOG recovery and treatment is required. This paper focuses on BOG recovery and purification processes, outlines current recovery technologies and discusses further developments.
Research On Marketing and Business Management Strategy of Sports Commercial Brand Based On 4ps Theory: A Case Study of Lululemon
Authors: Yang Jiajie
Published: July 2024

As a successful sports brand, Lululemon's marketing and corporate management strategies are based on the 4Ps theory, including product, price, promotion, and location. Firstly, Lululemon's brand profile showcases its position in the market, with analysis highlighting its successful business model in terms of economic benefits, number of stores, and core values. Secondly, the factors contributing to Lululemon's successful marketing were analyzed from four aspects: target market, product strategy, promotional activities, and pricing strategy, and in-depth discussions were conducted based on practical cases. For example, by accurately positioning Lululemon in specific target markets and practicing product innovation, its successful product strategy has been elucidated. In addition, Lululemon's promotional activities and pricing strategies have also played an important role in attracting consumers and enhancing brand value. Further exploration was conducted on the impact of Lululemon's marketing on other sports brands, and its successful experience has reference significance for the entire industry. Finally, for future development suggestions, some measures can be proposed, such as strengthening interaction with consumers, expanding product lines to meet the needs of different consumer groups, and strengthening the construction of online sales channels.
Localization of Underwater Submarines Based on a Two-Dimensional Trajectory Tracking Model
Authors: Zhang Yubo
Published: July 2024

With the increasing development and utilization of marine resources, the demand for precise localization of underwater vehicles in complex marine environments has also been growing. This study constructs a multi-level positioning model for an underactuated underwater vehicle. In the horizontal direction, considering the influence of ocean currents, a two-dimensional trajectory tracking model is developed to describe the kinematics and dynamics characteristics of the underactuated underwater vehicle. The model considers different combinations of initial velocities and ocean current directions to obtain the displacement of the underwater vehicle at different times. In the vertical direction, a gravity-buoyancy model is established, and environmental factors such as seawater damping coefficient, salinity, and temperature are considered, introducing uncertainties. The model is then subjected to robustness verification. Experimental results demonstrate that the proposed positioning model exhibits good robustness and accuracy, providing effective prediction and control for the localization of submarine.
Early Childhood Education Curriculum Reform in China
Authors: Fan Miao
Published: July 2024

This essay focuses on the curriculum reform in Chinese early childhood education (ECE) and is separated into five sections. There is a clear rationale for selecting this reform as well as a description of the reform. While it is clear that the reform has advantages, significant shortcomings have been highlighted in the essay. The promotion of diverse and autonomous curriculum development and implementation was a successful outcome of the Chinese ECE curriculum reform. Individualism in curriculum creation and a more child-centered approach have been effectively established by Chinese ECE reform. It was very challenging for teachers to apply the reform's new curriculum and pedagogy in the classroom, nevertheless, because it did not start with professional training and did not account for Chinese kindergarten teachers lacking expertise. Additional policy recommendations are also presented at the end. It is advised to use a mix of top-down and bottom-up policies to enhance the way curriculum reform is implemented in Chinese ECE.
Anti-interference of Wireless Communication Signals Based on Integrated Sensing and Communication
Authors: Li Tailong
Published: July 2024

Wireless communication for UAVs is becoming increasingly important with its development. However, because wireless communication relies too much on the openness of wireless channels and environments, there is a problem of low anti-interference. Therefore, this article aims to analyze previous research on using integrated sensing and communication methods to eliminate self-interference and to improve the anti-interference ability of UAV wireless communications. Combining integrated sensing and communication technology and combining it with orthogonal frequency division multiplexing technology can suppress self-interference signals, thereby improving the UAV signal quality and the UAV's anti-interference capability. The research results show that after obtaining the three-dimensional radar simulation, it is concluded that when the distance between the perceived targets is large, the influence of self-interference signals can be effectively eliminated; however, when the distance between the perceived targets is small, only part of the self-interference signals can be eliminated. Applying Integrated Sensing and Communication to wireless communication between drones in the air can effectively alleviate the limitations of Integrated Sensing and Communication on the ground; combining Integrated Sensing and Communication with orthogonal frequency division multiplexing can be more effective in eliminating inter-symbol interference and inter-carrier interference.
A Study of Fresh Commodities Sales Analysis Based on Time Series Modeling - Taking Vegetable Category Commodities as an Example
Authors: Wang Taihao , Fu Jingyuan
Published: July 2024

This paper serves as a decision-making aid for pricing and replenishing vegetables in fresh produce supermarkets. Initially, the sales data of various vegetable categories are thoroughly examined for trends and seasonal patterns, utilizing linear regression models that account for temporal trends and quarterly dummy variables. The analysis reveals that the four primary categories of flower vegetables, solanaceous vegetables, capsicum vegetables, and edible fungi exhibit distinct trends in their time-series data, while all six categories exhibit notable seasonal patterns. Furthermore, a correlation analysis is conducted on the sales of vegetable categories, considering daily, monthly, and quarterly timescales. The findings reveal a pronounced positive correlation among the sales of individual vegetable categories on a daily basis. Additionally, the seasonal influence on leaf vegetables and edible fungi is observed to be largely similar. Lastly, a K-Means clustering technique is employed to categorize vegetable items based on their sales data. The results indicate that the sales of the ten vegetable items grouped along with Yunnan lettuce and Chinese cabbage are significantly higher, providing valuable insights for inventory management and pricing strategies.
Combining Histone Modification Therapy and Immune Checkpoint Inhibitors for Tumor Treatment
Authors: Wang Jingning
Published: July 2024

Histone modifications play a crucial role in chromatin packaging and gene regulation during cell development. Differentiated alterations in histone modifications have the potential to adjust gene expression patterns, affecting tumorigenesis and cancerogenesis. Immune checkpoint inhibitors are effective treatments for attacking tumors and cancer cells; they are able to block the binding of protein receptors, allowing for the destruction of malignant cells through T-cells or NK cells. By combining the two therapies, tumor growth is prevented, and T-cells can more effectively target the malignant cells, resulting in lower doses of immune checkpoint inhibitors and lower risks of autoimmune diseases. This review discusses existing histone modifications and their roles in solid tumor development to identify therapeutic drugs that can reorganize gene expression patterns. Furthermore, this review summarizes existing research on immune checkpoint inhibitors and how a combination of both techniques can lead to more effective treatments. Future research may focus on other epigenetic mechanisms that can be paired with immune checkpoint inhibitors to remove tumors. Studies may also research the effects of pairing histone modifications with other immunotherapies for cancer treatment.
Research on Personnel Scheduling Optimization in Logistics Sorting Centers Based on Linear Programming and Heuristic Algorithms
Authors: Tian Zhiwei , Qian Ruliang , Sun Boyuan
Published: July 2024

With the rapid development of the logistics industry, the efficient operation of logistics sorting centers is crucial to the entire supply chain's efficiency. Staff scheduling, as a key aspect of the daily operations of sorting centers, directly impacts the control of labor costs and the job satisfaction of employees. To address the scheduling problem and enhance operational efficiency, this study proposes a personnel scheduling optimization model for logistics sorting centers based on linear programming and heuristic algorithms. Firstly, this paper analyzes the sorting center's cargo volume data and staffing requirements, clarifying the goal of scheduling optimization to meet workload demands while minimizing the total number of workdays, taking into account the different characteristics of regular and temporary workers, as well as legal regulations on working hours. Subsequently, a standard linear programming model is constructed, with the number of regular and temporary workers for each shift of every day as decision variables, to minimize the total workdays through linear optimization. However, due to the expansion of the problem scale, the solution time for the linear programming model has increased significantly. Therefore, a heuristic search algorithm is introduced to find an approximate optimal solution. Ultimately, through the analysis of actual cases, the effectiveness and practicality of the proposed model and algorithm are verified. This study's research not only provides a new method for personnel scheduling optimization in logistics sorting centers but also offers a reference for other industries requiring personnel scheduling optimization. Future research can further explore the applicability of the model in sorting centers of different scales.
Advances in Alzheimer's disease and its treatment
Authors: Qian Sunning
Published: July 2024

Alzheimer's disease (AD) is a progressive neurodegenerative disease with insidious onset. In clinical practice, comprehensive dementia is characterized by memory impairment, aphasia, recognition loss, impairment of visual and spatial skills, executive dysfunction, and personality and behavioral changes. According to the statistics, the global prevalence of dementia will be as high as 24 million, and is predicted to double every 20 years until at least 2040 [1].  The etiology of Alzheimer disease remains unclear, but most people think it is result of both genetic and environmental factors. How to cure this kind of disease has become a big trouble for decades.
Construction of Adult Education System under the Perspective of Lifelong Learning
Authors: Fan Linji
Published: July 2024

In today's context of globalisation and rapid development of information technology, lifelong learning has become an important concept to cope with social change and technological innovation. The purpose of this paper is to explore how to construct an effective adult education system under the perspective of lifelong learning in order to improve individual quality and promote social progress. Firstly, this paper starts from the theoretical foundation of lifelong learning, explains its definition, characteristics and development history, and explores the far-reaching influence of Piaget's cognitive development theory, Bruner's discovery learning theory and Gagne's learning condition theory on adult education. By analysing the current situation of adult education, this paper reveals the major problems currently faced, including uneven distribution of educational resources, insufficient motivation for learning and a disconnect between curriculum and actual needs. In order to cope with these challenges, this paper proposes the principle of constructing a learner-centred education system, which emphasises the flexibility and adaptability of the education model. Specific implementation strategies include government policy support, promotion of diversified education models and comprehensive learner support services. This paper also demonstrates the experiences of Germany and South Korea in policy support, social synergy and education model innovation through successful case analyses at home and abroad, which provide useful reference for other countries and regions. Finally, the paper summarises the key points in building an adult education system and looks forward to future development trends, emphasising the impact of technological progress and globalisation on adult education. Overall, the theoretical framework and implementation strategies proposed in this paper provide a scientific basis and practical guidance for building an efficient, flexible and diversified adult education system. Through in-depth understanding and application of these theories and methods, the quality and coverage of adult education can be effectively enhanced, the widespread implementation of the concept of lifelong learning can be promoted, and the all-round development of individuals and the sustainable progress of society can be fostered.
Research and Application of Intelligent Gel Chemical Sand Protection System in Sand Producing Gas Wells
Authors: Song Xueling , Li Shengsheng , Feng Qing , Li Haoxi
Published: July 2024

The reservoir of a loose sandstone gas field has the characteristics of high clay, high mud, high mineralization, easy water invasion, etc. Sand production greatly limits the utilization of production capacity and the application of many drainage and mining technologies. Therefore, a simple construction and the cost is low and it can effectively control the problem of fine sand production which is difficult to be solved by mechanical sand control. based on the idea of coordinated water management, an intelligent gel chemical sand control system was developed through indoor experimental performance evaluation methods and applied in A The well was successfully applied. After the measures were taken, the well resumed production and its daily gas production capacity was better than the level before the well was shut down. The results show that the technology can significantly reduce the above research provides an effective solution for preventing and controlling the blockage of mud and sand particle migration in loose sandstone gas fields.
Digital Romance: Investigating The Drivers of Otome Games' Increased Popularity in China Based On "Undoing Gender"
Authors: Nie Yunting
Published: July 2024

Otome games are virtual romance games in which the player takes on the role of a female character and interacts with several male characters. This type of game initially originated in Japan has gradually become a hit in China in recent years. "Love and Deepspace" is the latest achievement of the current domestic otome games. From their appearance to their professional status, the female characters in this game are independent and mature individuals. Also, the plot and lines are more powerful than those in previous games of the same genre where the female characters used to be delicate and vulnerable. Meanwhile, game characters do not simply display "masculinity" or "femininity" in line with their gender, and personality traits that are simply divided by gender are overridden and reshaped. Back in the real world today, more and more women are no longer constrained to marriage and family. Instead, they are enjoying a life of celibacy, free from the implicit norms imposed on women by society's "doing gender". They seek the right to freely express their feelings and have fun, and the space provided by otome video games has fulfilled their demand. Combining with Butler's theory of "undoing gender" and reflecting on the current social reality, this paper attempts to analyze how gender performs in “Love and Deepspace” and explore how the game subverts the traditional heteronormative relationship model and resists the binary opposition between men and women, thus gaining the popularity of many female players.
The Impacts of The Hierarchical Medical Policy On Health Resource Utilization Efficiency
Authors: Tang Luyuan , Xie Shiyao , Xu Yuan
Published: July 2024

The inefficiency in healthcare resource utilization has been a major constraint on the development of health and wellness services in China. To address this, the Chinese government initiated the development of a hierarchical medical system in 2015. This study employs a fixed effects model to evaluate the impact of the 2015 hierarchical medical policy on the efficiency of healthcare resource utilization in China between 2011 and 2020, including regional differences. The findings show that the policy significantly enhanced the overall efficiency of healthcare resource utilization in China. However, the policy’s effects on healthcare utilization efficiency were mixed in the subsequent years, showing both positive and negative impacts. In the economically and policy-resource deprived central regions, the policy’s effects were delayed. Further analysis indicated that higher levels of regional informatization could diminish the positive impact of the hierarchical medical policy on improving healthcare resource utilization efficiency. This research offers valuable recommendations for further advancing reforms in China’s medical system and establishing a structured hierarchical medical framework.
Relationship between CEO Facial Expressions and Stock Price Volatility Trends
Authors: Lu Chuankai , Tan Manling , Wang Jiaqi
Published: July 2024

According to recent research, investors determine their effective investment behavior by recognizing the facial emotions of chief executive officers (CEOs). Accordingly, the introduction of executive facial expressions as an influential factor in research in the field of finance is expected to provide investors with more comprehensive information and help them more accurately assess the future development and investment value of companies. Based on this background, this paper proposes a theoretical framework focusing on the relationship between negative emotions expressed by CEOs' facial emotions in roadshows and stock price volatility trends. By integrating the perspectives of different scholars, adopting diverse research methodologies, and collecting and quantifying data on CEOs' facial emotions in roadshow videos, as well as recording the price data of the company's stock in the week before and after the roadshow, this paper constructs an analytical model. The model can analyze and reveal the relationship between facial expressions and stock price volatility trends. Through an in-depth theoretical study of the relationship between CEO facial expressions and stock price volatility trends, this paper aims to provide investors, managers, and researchers with a deeper understanding of the financial markets so that they can better understand and respond to market volatility.
Exploration and Practice of Repair Course Teaching based on Systematic Work Process
Authors: Wang Xin , Cui Yu , Wang Weiqi
Published: July 2024

The systematic teaching mode of work process has always been an important topic in the curriculum construction of higher vocational and technical education and training level in non-commissioned officer schools. The teaching mode is guided by the actual post ability (work process) needs of social sergeant, and builds a complete and systematic teaching and learning process to cultivate students' post working ability. Taking the course of equipment repair as an example, this paper applies the systematic teaching mode of work process to the course, and carries on exploration and practice. Its core goal is to train the highly skilled military technical personnel who can solve practical problems and adapt to the need of equipment support for the society.
Analysis of Yili Corporation's Operating Capacity
Authors: Zhu Lingyi
Published: July 2024

In the development and operation of Yili Stock, dairy commodities are regarded as the important inventory of the company, and the storage volume of dairy commodities represents the scale and strength of the dairy company to a certain extent. With the continuous development and improvement of the socialist market economy, credit sales occupy a dominant position in sales, and accounts receivable, as one of the very important assets, consequently occupies an important position in the dairy products industry. Total assets, as an important indicator for comprehensively evaluating the operating efficiency and operating capacity of all assets of an enterprise, is a key indicator that cannot be ignored in the analysis of operating capacity. Therefore, this paper selects the inventory turnover ratio, accounts receivable turnover ratio and total asset turnover ratio of Yili shares to analyse, from which we find out the problems that may occur in the operation process of Yili shares, analyse and evaluate them, and give feasible suggestions.
Several Global Path Planning Algorithms and Modification
Authors: Ouyang Weimin
Published: July 2024

Mobile robots are being used in a wide range of scenarios with increasing frequency. But it is also an extremely difficult field with an interdisciplinary nature. Path planning (PP) is one of the most challenging problems in robotics, which can be further categorized into global navigation and reactive navigation. This article will focus on global navigation, aiming to provide a general review of several important global PP algorithms on their principles and significant improvement as well as propose some tenable modification suggestions. Dijkstra algorithm, as the most classic and mature algorithm, has been executed many modifications to address its inherent limitations. For instance, an optimizing data storage structure has been employed to obtain enhanced efficiency. The genetic algorithm is the most important evolution algorithm, giving a satisfactory result especially in large-scale searching. Modification of GA has also been conducted by introducing newly designed operators to facilitate the evolution and combining the APF method to guarantee a smoother path. A star is another popular heuristic algorithm, introducing a turning factor based on Dijkstra to reduce the searching area. It has also been improved in various aspects, particularly in refining its heuristic function. A neural network encoder has also been utilized to generate a satisfactory path after constructing a differentiable A star module. Three algorithms are then compared to further analyze their characteristics respectively, followed by proposed enhancements tailored to each algorithm. Through the content above, this paper gives a compact view of the main PP algorithms and suggests some potential directions for future modification.
Intelligent Soil Quality Monitoring Device based on Internet of Things Technology
Authors: Zhang Chao , Xie Litao
Published: July 2024

The intelligent soil quality monitoring device based on the Internet of Things technology adopts the Internet of Things technology, sensor technology, FDR technology, frequency domain reflection measurement technology and multi-channel data acquisition technology, MQTT protocol, controller local area network technology, Ali Cloud OSS upload technology and other technologies, with the function of monitoring soil moisture and soil protection. The equipment can realize automatic detection in different soils, analyze nitrogen, phosphorus and potassium in the soil, pH value, temperature and humidity, electrical conductivity and light intensity, measure soil water content, soil temperature and other indicators, real-time monitoring of the land, through the Internet of things technology feedback to the terminal for analysis, controlled by the terminal to supplement the soil water and other functions. Finally, it is concluded that specific land protection should be carried out for different land pollution.