bluuebunny/crossref_metadata_2025 huggingface dataset:
Glass Classification Accuracy Based on Spearman Coefficient and K-Means ++ Algorithm
Authors: Wang Zhenzhen , Meng Zecheng , Jin Zeyang
Published: July 2024

The study of the physical and chemical properties of artifactual glass can contribute greatly to the attribution of artifacts and to the study of their history. In this paper, we study the interplay of physical and chemical properties of glass and classify them. In order to make the classification more accurate, the correlation coefficients of compounds were calculated using Spearman's coefficient, and the content of lead oxide was determined as the basis for the classification. After that, this paper used K-means++ to cluster the data and selected calcium oxide and alumina as the sub-classification basis for high-potassium glass, and lead oxide and barium oxide as the sub-classification basis for lead-barium glass. Finally, the contents of some artifacts calcium oxide, alumina, lead oxide and barium oxide were changed with a perturbation of 0.2%, and the clustering points did not move significantly, and the model was stable.
The Impact caused by the COVID-19 Pandemic on Catering Industry and Medical Industry
Authors: Min Shitong
Published: July 2024

On December 7, 2022, The State Council of China issued "Ten new guidelines" to further relax epidemic control. The move has affected various industries in China to varying degrees, which has drawn attention to their respective indices. This article will explore the impact of the initiative on two sectors of focus, namely the hospitality industry and the healthcare industry. Using data from the catering Index (CZ399238) and the E-Fund medical index (CZ159847), this paper analyzes the impact of the pandemic's decision to release the control on these industries. The study results showed that the catering index rose sharply immediately after the policy relaxation, indicating that the catering industry is rapidly recovering and growing. However, there were no significant major changes in the medical index, suggesting a stabilization or a different trend in the pharmaceutical sector in the post-pandemic period. The study used the ARIMA model to assess these trends, providing a comprehensive overview of the immediate financial response of these industries to the relaxation of pandemic restrictions. The study not only provides insights into the dynamics of the Chinese stock market in these sectors, but also provides implications for investors and policymakers to understand patterns of economic recovery after major health crises.
Application of Cytokines in the Treatment of Lung Cancer
Authors: Luo Xinyu
Published: July 2024

Lung cancer is one of the malignant tumors with a high incidence rate and mortality worldwide. Cytokines are a crucial component of the human immune system. In cancer treatment, cytokine-based cancer immunotherapy has shown promising clinical prospects. It is worth noting that over the past few decades, there has been extensive research on cytokines and their receptors as targets for cancer or cancer treatment methods. As proteins in the immune system, interleukin, interferons, and other cytokines play crucial roles in controlling the body's immunological response to cancer cells and triggering the death of cancer cells. For example, IL-12 has demonstrated powerful tumor suppression capabilities. In addition, because most cytokine therapy trials have started in late-stage cancer patients, this may to some extent limit the therapeutic effect of cytokine therapy. Therefore, using cytokine therapy to enhance the activity of traditional cancer therapies or mitigate the immunotoxic effects of therapy on the human body could be a direction for the development of cytokine therapy. Thus, the functions and principles of the different cytokines in the cancer-immune cycle are discussed here, with a focus on the clinical use of cancer therapy based on different cytokines in the management of lung cancer.
CRISPR Technology in Rice Gene Editing
Authors: Luo Yisheng
Published: July 2024

As one of the world's major food crops, the research and improvement of rice traits and breeding have always been a field of concern in agricultural science. Since the 20th century, the increasingly mature gene editing technology, from ZFNs technology to CRISPR, has been increasingly applied in the improvement of rice varieties. This research summarizes some application methods of gene editing technology, mainly CRISPR technology, in rice variety improvement by summarizing relevant articles, such as cutting, knocking out, or precise replacement of specified genes; And other related biotechnology that can be combined with CRISPR technology in the practical application of rice gene editing were introduced, including but not limited to subcellular localization analysis, gene overexpression technology, and a collection of gene diagnosis and editing. Meanwhile, for some of the remaining issues with CRISPR technology, such as gene deletions, accidental insertions, and chromosomal aberrations caused by target DNA sequence disruption, a comprehensive evaluation of the effectiveness of gene editing is conducted through composite analysis of clone gene typing, PCR related detection, single molecule real-time sequencing, and long amplicon sequencing. This research aims to summarize the current applications and challenges of gene editing technology in rice trait research and variety improvement, and to provide prospects for its integration with other biotechnology.
Study on the Financial Impact of Perpetual Debt--Based on the Case Analysis of Gezhouba Company
Authors: Chen Chen , Zhu Lingyi
Published: July 2024

Perpetual debt is a new thing in China's capital market, and China's listed companies have only started to issue perpetual debt financing in recent years. When perpetual bonds are classified as equity instruments, they have the advantages of increasing the company's equity without diluting the shares and reducing the gearing ratio. This is very attractive to the listed companies that are in urgent need of high costs and have restrictions on debt issuance due to high gearing ratios. As a result, this paper selects the case of Gezhouba's perpetual debt issuance as the research object, and conducts an in-depth study on the financial impact of listed companies' perpetual debt financing.
Research on the International Space Development Pattern
Authors: Liu Hengyu
Published: July 2024

Since the Space Race, a new round of space race has emerged, and space, as an important field for the future of human development, has rich resources and endless space for development, which must be explored by all countries. Space development is one of the topics of national attention today, and researchers have found that there are many countries currently involved in space development, but there are gaps in the study of the international pattern of space development. Thus, three countries, China, Japan and Russia, are selected to represent the first, second and third levels of international space development, respectively. Through the analysis of the current state of space development, cooperation, and problems and challenges faced by the three countries, the overall status of the countries in space development is clarified and appropriate recommendations are made. This research found that the current competition in international space development is intense, and the high investment in space development of countries is developing rapidly, but there are many problems, such as environmental issues, issues of the legal system, financial issues, and so on.
Exploring the Role of Big Data Analytics in Strengthening Financial Accounting for Promoting Sustainable Business Practices
Authors: Zhou Fangfang
Published: July 2024

This paper examines the role of big data analytics in strengthening financial accounting to promote sustainable business practices. Firstly, the paper introduces the importance of big data analytics and financial accounting in sustainable operations. Secondly, it discusses in detail the role of big data analytics in financial accounting, including improving the accuracy and transparency of financial reporting, enhancing risk management and fraud detection, supporting decision-making for sustainable operations, and ensuring compliance with regulatory requirements. Through case studies and examples, it showcases successful applications of big data analytics in financial accounting and their impact on business performance and sustainability outcomes. Finally, the paper presents best practices and recommendations for implementing big data analytics in practice, including effective implementation strategies, employee training and development plans, and ongoing monitoring and evaluation of outcomes.
Design Concept of Angular Controller for Quadrotor UAV Based on Improved Particle Swarm Optimization Algorithm PID Control
Authors: Cheng Yuqing
Published: July 2024

The control of unmanned aerial vehicles (UAVs) is a key research problem in the field of UAVs. PID control is currently one of the most widely used methods for this issue. However, the classical PID control structure suffers from difficulty tuning control parameters, resulting in poor control performance for UAVs. Therefore, this paper proposes a Gaussian mutation-enhanced PSO-PID algorithm for UAV control. The proposed method is built upon classical PID control and PSO optimization algorithms. Firstly, the dynamic model of UAV is constructed using Euler's method and Newton's laws of motion. Then, single-loop PID control is applied to control the UAV, and the PSO algorithm is introduced to solve the parameter tuning problem. To overcome the drawback of PSO algorithm being prone to local optima, Gaussian mutation is introduced to enhance the ability to escape from local optima. The algorithm theoretically offers faster response and better control performance compared to the classical PID structure, and it can be used as a flight control algorithm for commercial UAVs in the future.
Optimal Strategy Research on Vegetable Replenishment and Pricing Based on Machine Learning Regression
Authors: Liu Ye
Published: July 2024

The purpose of this study is to investigate the relationship between sales volume and price in the process of selling vegetables in supermarkets, and in turn, to obtain the optimal replenishment and pricing strategy for the next 7 days in supermarkets under profit maximization. By comparing six machine learning regression algorithms, namely Decision Tree, Random Forest, Plain Bayes, Support Vector Machine, XGBoost and CatBoost, the CatBoost model was found to have the best fit. After model tuning and optimization, the relationship between sales volume and price of each category of vegetables in different quarters was obtained. Finally, the objective revenue function was constructed by considering factors such as pricing, sales volume and profit margin, and the particle swarm optimization algorithm was used to determine the optimal pricing and replenishment strategies corresponding to the maximum revenue. The in-depth analysis and modeling of vegetable sales data provide important references for superstores to formulate reasonable pricing and sales plans in different time periods to enhance operational efficiency and market competitiveness.
Research on Blasting Fragment Distribution and Parameter Optimization of Open-Pit Mines Based on FDEM
Authors: Sun Kangning , He Liheng , Zhuang Xiaotong , Zheng Shijie
Published: July 2024

This study employs the Finite-Discrete Element Coupling Method (FDEM) to simulate and optimize the blasting process in open-pit mines, focusing on the fragmentation distribution and key blasting parameters. The FDEM, which integrates the finite element (FE) and discrete element (DE) methods, provides a comprehensive approach to simulate the initiation, propagation, and coalescence of cracks in rock materials under external loads. The research utilizes field monitoring data from Zijinshan Gold and Copper Mine, encompassing stress waves, vibration velocities, and blasting block distributions during the blasting process. Numerical simulation results were generated using Open-FDEM software to model the fracture patterns and stress distributions under blasting loads, facilitating a detailed analysis of blasting effects. The geometric model constructed for the simulation represents a specific grade of rock step blasting in the Zijinshan open-pit mine, with adjustable parameters such as the chassis resistance line, plugging length, and charge amount to analyze their impact on blasting outcomes. The study also investigates the influence of the explosion load on the fragmentation process, identifying an optimal load value that minimizes large rock formation and maximizes the efficiency of ore crushing.
Research on the Influence of Artificial Intelligence Technology in Enterprise Human Resource Management on Employee Performance
Authors: Zhu Yingzhe
Published: July 2024

With the rapid development of science and technology, artificial intelligence (AI) technology is gradually infiltrating into all levels of enterprise management, especially in human resources (HR) management. Its application not only improves work efficiency, optimizes management processes, but also has a significant impact on employee performance. This study comprehensively and deeply discusses the application of AI technology in recruitment, training and performance management and its influence on employee performance through mixed method research design, quantitative analysis and case study. The results of quantitative analysis show that the application of AI technology in recruitment, training and performance management has a significant positive correlation with the improvement of employee performance. Regression analysis further reveals the positive effects of factors such as recruitment automation, training personalization, employee experience and educational background on employee performance. The case study reveals the common patterns and differences of the impact of AI technology application on employee performance by comparing enterprises in different industries, scales and levels of AI technology application. This study provides valuable insights for understanding the application of AI technology in enterprise HR management and its impact on employee performance, and provides a useful reference for enterprises to make more effective use of this technology. With the continuous development and popularization of AI technology, its application in the field of HR management will be more extensive and in-depth, which will inject new impetus into the sustainable development of enterprises.
Analysis of Louis Vuitton’s Marketing Strategy and Brand Management
Authors: Hu Yijia
Published: July 2024

This article details how LV Group, as the world's top luxury goods company, stands out in the luxury goods market. From analyzing the opportunities and overall situation of today's luxury market to introducing the facts of LV Group and brand development. Then it analyzes in detail the overall marketing strategy of today's Louis Vuitton brand. By using 4P analysis method and positioning strategy, readers can know that today's LV brand combines the traditional handicraft industry with emerging technology and creativity and uses unique individual sales. The channel has achieved brand positioning, and used digital marketing to attract more young users and expand customer target groups. Not only that, LV also adheres to the principle of innovation first and has always made correct judgments and guidance on the market throughout its history. It has used marketing methods such as cooperation with celebrities to increase the brand's popularity, and at the same time, it has followed fashion trends and many well-known designers collaborate with emerging designers, truly achieving a close combination of fashion and tradition. This article also puts forward some suggestions based on the characteristics of LV and changes in the market, such as adding more technological elements and improving environmental awareness and ethics.
Research on Vegetable Pricing and Replenishment Strategies Based on Time Series and Linear Programming Models
Authors: Wang RuiBing , Niu ZhiYi , Gao HuiKang
Published: July 2024

In this paper, an optimization model for pricing and replenishment of vegetable commodities was established based on historical sales data, wholesale price and wastage rate using linear regression, time series forecasting and linear programming. The model is analyzed and solved by Python, MATLAB, SPSS and other software, and the optimization strategy for commodity pricing and replenishment is proposed. First, bar charts and line graphs of sales volume changes were plotted using the matplotlib library in Python, and heat maps of correlation coefficients were plotted by the Pearson correlation coefficient method. Secondly, the relationship between sales volume and pricing is analyzed by scatter plot and linear regression model, and the time series model is constructed by using SPSS for sales volume forecasting. Finally, the restocking volume and pricing strategy for the vegetable category in the coming week are given based on the linear programming model to maximize the superstore revenue.
Preface: 3rd International Conference on Image Processing and Intelligent Information Systems (IPIIS 2024)
Authors: Macaulay Geoffrey , Feng Jin
Published: July 2024

The 2024 3rd International Conference on Image Processing and Intelligent Information Systems (IPIIS 2024) was successfully held in Edinburgh, United Kingdom during May 25-26, 2024. In the context of the conference, scholars, and experts in the fields of image processing and intelligent information systems, involved both in experimental and theoretical research, were invited from various universities and institutions.
The main goal of IPIIS 2024 was to present the related research work, to promote the cooperation of experts and scholars, to share the research achievements both on a national and international level. This collection of proceedings compiles oral and paper presentations submitted by the authors and scrutinized by the editorial committee. Due to the large number of attendees, the conference was separated into main and parallel sessions. Each plenary speaker gave an oral presentation of 30-40 minutes accompanied by his slides' material, allocated for questions and discussion.
The organizing and editorial committees of IPIIS 2024 hope you can enjoy the reading of this volume. Additionally, we want to thank all authors and participants for providing their valuable contributions for these proceedings, as well as the reviewers for their constructive recommendations and feedback aiding to improve the presented articles.
IPIIS Organizing Committee
Edinburgh, United Kingdom
Mediterranean Diet for Cardiovascular Disease Control inLow-income Populations in the United States: Application of Community Outreach Services
Authors: Cao Jiahao , Huang Landi
Published: July 2024

In the US, cardiovascular disease (CVD) is a serious public health issue that disproportionately affects people with low incomes.The low-income populations are more likely to consume diets high in fats, refined grains, and added sugars which are considered as foods associated with a high Dietary Inflammation Index (DII). Due to the promotion of inflammatory processes and rising of low-density lipoprotein cholesterol (LDL-C) levels, foods with high DII increase the risk of CVD. On the other hand, it has been established that anti-inflammatory foods including fruits, vegetables, and whole grains, which are high in polyphenols, β-glucans, and other bioactive substances, can reduce these risks via a variety of antioxidant and metabolic processes. Notably, compliance with the Mediterranean diet in which low DII is a defining characteristic, has been identified as an effective strategy in reducing the risk of CVD. This paper highlights the need for accessible community-based health care and dietary counseling in the promotion of cardiovascular health behaviors through an analysis of dietary intake and cardiovascular health outcomes in low-income populations. Anti-inflammatory dietary patterns, such as the Mediterranean diet, in public health strategies aimed at reducing the risk of CVD in low-income populations, thereby contributing to the reduction of the burden of cardiovascular disease through nutritional interventions.This paper explores the relationship between socioeconomic status, dietary patterns, and CVD risk, emphasizing the critical role of community-based interventions and anti-inflammatory dietary patterns in addressing this disparity.
LDO Performance and Development Trend Study
Authors: Wei Haoshan
Published: July 2024

A low dropout linear regulator (LDO) is responsible for providing a stable supply voltage in a circuit system. Due to the characteristics of LDOs such as low power consumption, low noise, good stability, etc., it has become an essential key component of modern electronic equipment. With the continuous updating and development of electronic equipment, people have higher and higher requirements for LDOs. Therefore, the new design scheme, manufacturing process, and testing method of LDOs have become one of the hotspots in nowadays' research. To understand the current research status, development trend, and challenges of LDOs chips, this essay researches a large amount of literature, summarizes the research results of previous researchers, and explores the application prospects of LDOs in emerging technologies. The paper proposes a program that can be improved and gives an outlook on the future research direction.
Strategic Evolution of Zhifei Biological Products in the Post-Pandemic Era: A Financial and Operational Analysis
Authors: Lin Lijia
Published: July 2024

In the evolving landscape of the pharmaceutical industry post-COVID-19, Zhifei Biological Products stands out for its strategic maneuvering and financial growth. This paper investigates Zhifei Biological Products' financial resilience and strategic initiatives, emphasizing its focus on vaccine development and metabolic disease treatments. Through financial report analysis, the study reveals Zhifei's significant expansion in key sectors including mRNA and RSV vaccines, alongside its strategic partnerships for Shingles and HPV vaccines. The company's adaptability in navigating market challenges, leveraging R&D investments, and strategic collaborations underlines its potential for sustained growth. The analysis sheds light on Zhifei's approach to diversifying its portfolio and enhancing its market position through innovation in vaccine technology. The findings highlight the importance of strategic flexibility and innovation in securing competitive advantage and driving growth in the post-pandemic era, offering valuable insights for stakeholders in the pharmaceutical industry.
Progress of CRISPR Technology in Cancer Treatment
Authors: Zhang Junxin
Published: July 2024

The CRISPR (Cluster of regularly interspersed short palindromic repeats) technology is the nowadays trend of genetic engineering. The simplicity of the system has made genetic engineering more applicable and convenient for bioengineers, in comparison to ZFNs and TALENs. It is now used in a wide range of aspect, by inserting, deleting, silencing, mutating the target gene. However, this technology still has drawbacks. Off-target affect, one of the most common shortcoming has made this technology often considered to be too risky to be put in actual treatment. CRISPR technology holds a great promising prospect in cancer treatment and immunotherapy through enhancing the direct or indirect inhibition of cancer growth. This article will provide an overview of the CRISPR system, its application in studying and screening of cancer cells, improving the efficacy and specificity of cancer immunotherapy, and possible future direction of cancer treatment, for example editing or modifying oncogene and drug resistant genes.
A Comprehensive Study of Data Fusion-Based Search and Path Planning for Submersibles
Authors: Zhao Liangchen , Yu Xiao , Shi Juehui
Published: July 2024

With the increase in deep-sea exploration activities, the safety challenges faced by submersibles in complex marine environments have highlighted the importance and urgent need for search and rescue efforts. It is important to protect the marine environment and maintain the safety of personnel while minimizing economic losses. In this study, this paper predicted the wreck paths of submersibles by considering factors such as ocean currents, topography, and energy loss to obtain the wreck paths under different wreck scenarios. The rescue path of AUV equipment to the wrecked submersible is simulated using a genetic algorithm, which ensures that the search and rescue of the wrecked submersible is completed in a short period.
Analysis of the Influencing Factors of China's Agricultural Trade with RCEP Countries
Authors: Yu Luoyi
Published: July 2024

The signing of the Regional Comprehensive Economic Partnership Agreement (RCEP) under the new situation of rapid but unstable global economic development will provide new opportunities and challenges for agricultural trade among member countries. This paper reviews the relevant literature in recent years to systematize the factors affecting China’s agricultural trade with other RCEP members, to further promote the level of intra-regional economic facilitation liberalization and promote economic development. The study found that the factors affecting China's agricultural trade with other RCEP member countries can be broadly categorized into political and legal, economic and sociocultural aspects, each of which has several subdivisions, like the extent of government intervention, and all of which have different impacts on the conduct of trade. Based on this, this study provides recommendations for improving the competitiveness of China's agricultural products, promoting agricultural trade cooperation within the RCEP region, and strengthening economic integration in the Asia-Pacific region.
Transformational leadership practices and achievement motivation: towards a leadership athletic excellence program
Authors: Yang Wenxin , VILLANUEVA, Ph.D. LIZELLE E.
Published: July 2024

This study assessed coaches' transformational leadership practices and student athletes' achievement motivation within the confines of Chengdu Sport University (CDSU), Chengdu, Sichuan, China. The respondents of the study were student athletes who compete in a variety of sports at Chengdu Sport University, specifically volleyball (men and women), swimming, athletics, aerobics, basketball (men and women), tennis, badminton, table tennis, football (men and women) and cheering squad. Based on the conclusions derived in this study, the following are the recommendations: The study suggests that coaches should tailor their strategies to meet the preferences of male student athletes aged 18-23, particularly in higher education settings. They should also encourage transformational leadership behavior, offering professional development opportunities and ongoing support. The study also suggests that a universal leadership approach promoting positive coaching styles can be effective across diverse athlete demographics. The study also suggests that achievement motivation among student athletes is high, and that coaches can use universally applicable motivational coaching strategies. The study also recommends ongoing feedback and communication between coaches and athletes, promoting a dynamic and adaptable coaching environment. The researcher is in favor of the LAE program primarily because it has the ability to strengthen coach abilities, foster a supportive team environment, and boost athlete motivation.
An analysis of separating event verbs in Romanian and French from a multidimensional perspective
Authors: Zhao Xinyue
Published: July 2024

Cross-language research on motor events shows that verbs with different structural types show different lexical granularity. In this paper, 24 separate events are analyzed by using multi-dimensional analysis and cross-language comparison between French and Romanian, which belong to the same Romance language family, to further study the relationship between lexical diversity and language typology. Whether the semantic domain of separate events manifests itself in a similar way explores how lexical diversity is driven by language types.
Full Electric Aircraft and The Electrical Motors of The Propulsion Systems
Authors: Wang Yao
Published: July 2024

With the increasing awareness of environmental protection and the increasing reduction of oil resources, full electric aircraft as a green transportation tool has attracted much attention. The use of electric drive systems instead of traditional fuel power systems for full electric aircraft not only reduces reliance on fossil fuels, but also reduces emissions and noise, improving aircraft performance and safety. Electric motors are a critical component of full electric aircraft propulsion systems, providing the necessary power to drive the aircraft. This paper introduces the development history and classification of full electric aircraft and provides a comprehensive review of the various types of electric motors used in full electric aircraft propulsion, including permanent magnet synchronous motors, switched reluctance motors, axial flux motors, superconducting motors, and multi-phase motors. Additionally, the paper discusses the future trend and challenges for electric motors in full electric aircraft propulsion systems.
Application Research Progress of LDO Chips
Authors: Wu Keying
Published: July 2024

LDO chip is one of the key topics in the research of integrated circuits. In response to the demands of portable electronic devices for low power consumption, high integration, and environmental sustainability, the low-voltage linear regulator, exemplified by LDO has stood out. It delivers swift transient response with minimal static current, and boasts a high power supply rejection ratio, all while being cost-effective and featuring a relatively straightforward design. However, in the case of high voltage differences, LDO is less efficient and is not suitable for high-power output applications. Therefore, aiming at the low efficiency of LDO under large pressure differences, the research method of this paper is to analyze the basic principle and performance of LDO chips at home and abroad and propose a design scheme of low voltage difference linear regulator with ultra-low power consumption and wide input range, so as to meet the needs of portable equipment, industrial automation, automotive electronics, communication equipment, and other fields.
Study on Re-Employment Dilemma and Countermeasures of Over-Age Migrant Workers in Guangyuan City
Authors: Zhang Jiangmin , Su Kui
Published: July 2024

The aging trend of the population is gradually rising, the pace of urban-rural integration is accelerating, migrant workers belong to the main force of urban construction, at present, many places issued the "clearing order", prohibiting overage migrant workers to engage in the related risk and risk of higher work. Overage migrant workers this special group, re-employment is in trouble, this paper takes this as a starting point, through questionnaire survey and field interview methods, in the perspective of aging, analysis of Guangyuan overage migrant workers currently existing employment difficulties, for the overage migrant workers group, put forward the corresponding countermeasures and suggestions.
Progress in Target-Therapy with Breast Cancer
Authors: Sun Ye
Published: July 2024

With the increase of incidence rate of breast cancer, more attention has been paid to the treatment of this disease. This article mainly divides breast cancer into three negative breast cancer and HER2 overexpression breast cancer. Negative breast cancer can be divided into four subtypes, among which immunomodulatory pressure type is more sensitive to immunotherapy. The emergence of immunotherapy has brought new tumor treatment methods for breast cancer, mainly immune-checkpoint inhibitor therapy. The pathological complete response rate was significantly improved in the PD-1 drug development process in combination with neoadjuvant chemotherapy, and the combination therapy of monoclonal antibody and paclitaxel in the PD-L1 drug development process can significantly prolong survival rate. The combination of epeimab and navumab with paclitaxel in the treatment of early triple negative breast cancer is expected to improve ORR and PCR rates. This article briefly describes the development process of targeted therapy for human epidermal growth factor receptor 2, indicating that anti HER2 targeted therapy has entered the era of antibody drug conjugates. At the same time, the different clinical research and development status of PD-1 inhibitor, PD-L1 inhibitor and CTLA-4 inhibitor during immunotherapy also tells us that in the process of treating breast cancer, combined chemotherapy and targeted treatment are more conducive to improving the prognosis and meeting the requirements of patients to improve their quality of life.
Research on the Road of Healthy Development of New Rural Collective Economy Based on the "Three Links and Three Collections" Model -- Taking Xilong Village as an Example
Authors: He Ying , Shen Ziqi
Published: July 2024

With the deepening of reform, the original production model of the household contract responsibility system is insufficient to meet market demands. In this context, a new form of farmers' professional cooperatives has emerged. Under the background of rural revitalization, these cooperatives are supported by policies and governments, and their number and scale are increasing. Presently, however, these cooperatives grapple with challenges of participating in village collective advancement and enhancing income. How to overcome these issues and avoid risks? This paper selects Huinong Garden Farmers' Professional Cooperative in Xilong Village, Yibin City, a nationally exemplary cooperative, as a case study to investigate. By summarizing, refining and analyzing the pioneering operation of it under the "Three Unions, Three Revenues" model, we analyze the internal logic, optimize the development path, and discover potential threats. On this basis, construct the path under the "3+" model to foster the beneficial evolution of the agricultural economy.
Spatial and temporal characteristics of carbon storage in Beihai City under land use change based on InVEST model
Authors: Liu Bingbing , Xu Jun , He Yanjun , Yang Xiaoxiong , Song Zhiguang , Huang Shengmin , Wu Bin
Published: July 2024

Land use change is a crucial factor influencing changes in carbon storage, and its impact on the carbon cycle and climate change holds significant importance. This study investigates land use changes in Beihai City, utilizing the InVEST model to assess carbon storage. It analyzes the spatiotemporal variations of carbon storage in different time periods and demonstrates the trends and spatial distribution characteristics of different land use types. The primary findings indicate that over the past two decades, cultivated land and forest land have been the main types of land use in Beihai City. Land use conversion primarily occurs between forest land and cultivated land, as well as between cultivated land and water areas. Overall, there has been an increasing trend in carbon storage within Beihai City, largely attributed to expansions in both forested areas and cultivated lands. Furthermore, there are disparities in how different conversions between various land use type
A Study on The Application of PSR In Circuit Design
Authors: Ma Heyuan , Li Boyu
Published: July 2024

The power supply rejection ratio (PSR) is an indicator that reflects the sensitivity of a circuit to power supply noise and directly affects the stability and performance performance of the circuit. The aim of this study is to go through the concept of PSR, and the derivation methodology, and to propose a design methodology to enhance PSRR, focusing on the application in the design of stand-alone amplifiers and other circuits. The study uses mathematical derivation and circuit simulation to analyze the effects of different design options on PSRR. Through experimental and theoretical analyses, this paper proposes a series of effective methods to enhance PSRR in stand-alone amplifiers and other circuit designs, including optimizing the power supply line, introducing filters, and adopting suitable power supply decoupling capacitors. The results show that through reasonable circuit design and optimization, the PSRR of the circuits can be significantly enhanced and their resistance to power supply noise can be strengthened, thus improving the stability and performance of the circuits.
Impact of Tax Incentive Policies on Corporate Financial Performance: Based on Data from Listed Companies from 2012-2016
Authors: Wang Guan
Published: July 2024

In recent years, to promote the transformation and upgrading of enterprises and achieve high-quality economic development, China has continuously implemented tax incentive policies, which play an important role in stimulating enterprises to improve management capabilities and financial performance. This paper studies whether tax incentive policies affect the financial performance of enterprises. Based on previous literature, we select the financial data of A-share listed companies in the Cathay database from 2012 to 2016 as samples, considering companies with year-end tax rates below 25% as enjoying tax incentives. Using the model constructed in this paper for regression analysis, it is found that tax incentive policies indeed improve corporate financial performance. Due to industry characteristics and development differences, the promotion effect of tax incentive policies on corporate financial performance varies across industries, thereby providing policy suggestions for optimizing China's tax incentive policies and promoting corporate performance.
Current Progress in The Research of NPM1-Mutated AML
Authors: Gao Mohan
Published: July 2024

Acute myeloid leukemia (AML) with a mutation in nucleophosmin 1 (NPM1) is the most prevalent form, making up around 30% of cases. Because of the several roles that NPM1 plays in preserving normal cell activity, mutations in this protein can have a serious negative impact on the human body by causing anti-apoptosis and cell proliferation, which can ultimately lead to cancer. Numerous therapies have demonstrated efficacy; while they focus on distinct areas, it is envisaged that they may be combined to provide greater results down the road. AML with solely NPM1 mutations has been shown to have better results than AML with co-mutations, while the prognosis of NPM1-mutated AML varies on several parameters. Monitoring for minimal residual disease (MRD) is used to track and forecast the course of AML with a mutation in NPM1. It is anticipated that more studies will help identify new therapy targets while reducing adverse effects. Choosing the proper guidelines and techniques for keeping an eye on this illness. This article focused on the structure and normal function of NPM1 as well as the mechanisms causing AML. In addition, the treatment, prognosis, and monitoring methods of AML based on NPM1 are proposed in this paper, which has a reference role for the treatment of AML in the future.
A New Horizon in Renewable Energy: Materials and Advances in Plastic Solar Cells
Authors: Yu Yifei
Published: July 2024

With the background of global energy demand escalating and environmental repercussions, the discovery of renewable energy alternatives is urgent. Over recent decades, plastic solar cells have showcased their remarkable characteristics compared to traditional materials, indicating great potential to the quest for efficient, sustainable energy. This paper is dedicated to consolidating the latest research findings, primarily focusing on cutting-edge materials and advancements within the field of plastic solar cells. It includes a comprehensive analysis of environmental impacts, production methodologies, and the emergence of novel materials such as P3HT, polyaniline, and perovskite. The ensuing discussions provide a detailed evaluation of critical materials, notably conductive polymers and small molecule organic semiconductors. These materials are characterized by their superior electrical conductivity, environmental and thermal resilience, and versatility of modification. Nevertheless, the complexity of assessing the environmental performance of photovoltaic systems and the necessity for enhancing efficiency and stability are shown by industrial and academic insights. Inkjet printing, spin-coating, and slot die coating are triple common production methods that align with different needs. However, the technique’s application is currently hampered by limitations in achieving high efficiency and stability, which restricts its upscaling adoption. Besides, the integration of OPV technology into wearable devices and building materials exemplifies the versatility of photovoltaics to meet diverse energy demands. In conclusion, further exploration of sustainable, eco-friendly materials and techniques is required to achieve better practical viability in the field of PSCs.
Research Progress and Prospect of Translucent Organic Ohotovoltaic Cells
Authors: Fu Yuhan
Published: July 2024

Translucent organic photovoltaic cells, as a branch of photovoltaic cells, are an important part of society towards green, clean, sustainable and renewable development. Not only has it become a hot spot in academia in research, but also has its potential in many aspects such as photovoltaic building integration. And with the development of devices, its performance has also been continuously improved. Therefore, this paper aims to review the development history of organic photovoltaic cells and translucent organic photovoltaic cells, analyze the advantages and disadvantages of their devices, and explore the hot spots and development trends of today's scientific research to help people who first contact or rarely contact the field of translucent organic photovoltaic cells. Thus more quickly and comprehensively understand and grasp the development trend and prospect of translucent organic photovoltaic cells. Through literature review, this paper lists the development process of translucent organic photovoltaic cells, and introduces the current application scenarios of translucent organic photovoltaic cells with examples. The first part of this paper is a general overview of organic photovoltaic cells; The second part discusses the research progress of translucent organic photovoltaic cells, and discusses the core elements of the development of translucent organic photovoltaic cells. The third part is a detailed discussion of the application of translucent organic photovoltaic cells, proving their market value and the necessity of research, so as to rationally and objectively analyze translucent organic photovoltaic cells from different types of horizontal photovoltaic cells and vertical time scales.
A study on vegetable replenishment and pricing based on binomial function and deep learning models
Authors: Tang Lintao , Chen Huifei
Published: July 2024

Perishable vegetable commodities for supermarkets, the development of its sales strategy is critical. The purpose of this paper is to develop an integrated model to optimize the daily replenishment and pricing strategy of vegetables, so as to improve the operational efficiency and profitability of supermarkets. By analyzing historical sales data, this paper reveals the negative correlation between vegetable sales volume and cost-plus price, and uses various mathematical models to fit the analysis. It is found that the binomial function model with a weekly period can most accurately describe the relationship between sales volume and price. This paper further utilizes the LSTM long- and short- term memory model for the sliding prediction of replenishment volume and combines it with the ARIMA model to predict wholesale prices. Based on the prediction results, this paper establishes an optimization model with profit maximization as the objective and performs parameter optimization by simulated annealing algorithm. The results of the study show that the maximum profit of￥9,708.282 can be achieved by using the strategy proposed in this paper in the study of the situation during the week of July 1 to 7, 2023 This study provides a scientific decision-making tool for superstores, which helps to maximize profits while ensuring the freshness of goods.
Research on Full Stress-strain Curve of Ecological Porous Concrete
Authors: Liu Guanghua , Li Guoqing , Xu Wenxing , Liu Xiaofei
Published: July 2024

Through the uniaxial compression test of the porosity between 20% and 30% and the water-cement ratio at 0.25-0.3, 0.3-0.35, the average value of the characteristic points of stress-strain curve of ecological porous concrete with 16-19mm, 19-26.5mm particle size aggregate was obtained, and the curve of stress-strain curve of ecological porous concrete was fitted by ORIGIN mathematical statistical analysis software. The falling curve of ecological porous concrete is inferred virtually, and the full stress-strain curve suitable for ecological porous concrete with different water-cement ratio, strength grade and aggregate particle size is established.
Transformation Journey of Blackberry: From Mobile Communications to Network Security Giant
Authors: Cheng Yinuo
Published: July 2024

This article extensively explores BlackBerry's remarkable evolution, charting its path from a dominant force in the mobile communications devices industry to its current focus on cybersecurity and software services. It delves deeply into the strategic adaptations undertaken by BlackBerry to navigate the swiftly changing market and technological landscapes. Through a thorough analysis of strategic decisions, including forming partnerships, divesting, and realigning business focus, the article elucidates how these actions have shaped BlackBerry's trajectory over the long term. Moreover, it assesses the implications of these transformations for BlackBerry's positioning in its newfound operational domains, highlighting both the challenges and opportunities that lie ahead for the company within the cybersecurity and software services sectors. This insightful exploration offers a nuanced understanding of BlackBerry's strategic evolution and its ramifications for its future pursuits. This analysis underscores BlackBerry's ongoing commitment to innovation and its readiness to embrace new opportunities in an ever-changing market landscape.
Progress And Challenges of Coronary Angiography in The Diagnosis and Treatment of Coronary Heart Disease
Authors: Jiang Hao , Liang Xingwen
Published: July 2024

As living standards improve, the incidence of coronary heart disease (CHD) has been rising. Against this backdrop, coronary angiography has become a pivotal tool in cardiovascular medicine, establishing itself as the gold standard for the diagnosis and treatment of CHD. This review outlines the latest advancements in coronary angiography techniques, which have greatly enhanced the clarity with which physicians can view coronary artery structures and the precision of diagnoses. Clinically, coronary angiography not only plays a central role in diagnosing CHD but also exhibits unique advantages in managing acute coronary syndromes, myocardial infarctions, and interventional treatments. Real-time imaging technologies enable physicians to make swift and accurate clinical judgments and provide timely interventions for patients. This article also reviews the literature to discuss the symptoms and susceptibility factors of CHD, the fundamental principles and conditions of coronary angiography technology, the analysis of diagnostic results, and the potential to enhance the diagnostic efficiency of CHD using emerging algorithmic models.