bluuebunny/crossref_metadata_2025 huggingface dataset:
Pneumoconiosis and Silicosis: Recent Trend and Public Health Responses
Authors: Chen Zhongqi
Published: January 2024

Pneumoconiosis, a collective term for lung diseases resulting from the inhalation of specific dusts, presents significant global public health and economic challenges1. This is particularly prevalent in traditional sectors like mining and metal industries, and emerging industries such as nuclear fuel processing. Notably, nations like China and India have over 20 million workers at risk. While awareness around pneumoconiosis has been prevalent for decades, its status as a leading occupational disease, especially in regions like China, indicates a deficiency in current mitigation policies. This essay delves into the present diagnostic and treatment measures for pneumoconiosis, its prevention strategies, worldwide trends, and the existing policies from governmental and private entities, highlighting areas for enhancement. The global resurgence of pneumoconiosis underscores the pressing need for a thorough reassessment of workplace regulations and the creation of novel standards tailored to emergent industries. Comprehensive research aimed at identifying air pollutants and associated risks in new industry workspaces is imperative. Collaborative endeavors from governmental and private sectors should focus on enhanced protective gear, workplace safety education, and comprehensive medical insurance. Innovative strategies, like forecasting potential workplace pollutants, can bridge the gap between policy enforcement and safety measures, aiming to reduce the influence of this incapacitating ailment.
Evaluation of Investment Value of Commercial Banks: Taking ICBC as an Example
Authors: Deng Zhifang
Published: January 2024

The banking industry is the most important component of the national economy, and people's daily deposit and loan business is closely related to banks. In recent years, the development speed of China's banking industry has been extremely fast, and many commercial banks have successfully gone public, achieving a rapid doubling of their asset size. Therefore, many investors are turning their attention to the banking industry. However, as a special enterprise with high debt characteristics, banks have differences in their investment analysis compared to other enterprises. Therefore, many scholars have also conducted research on this issue. Previous research has focused more on analyzing whether various estimation methods are suitable for investment analysis of commercial banks and providing relevant investment recommendations by comparing the estimated commercial bank value with the benchmark date value. This article takes ICBC as an example to estimate the intrinsic value of its stocks using the DDM model, compares the intrinsic value of the stocks with market prices, studies whether there are differences, analyzes the potential reasons for the differences and provides relevant investment suggestions.
A Modified LSTM Neural Network Based on Boosting and Sufficient Dimensionality Reduction
Authors: Chen Zhikun , Lin Shixuan , Kou Xinrui
Published: January 2024

Stock price prediction is a common scenario in time series data forecasting, providing effective guidance for investment decisions. Long Short-Term Memory (LSTM) is a widely used model for stock price prediction, yet the selection of its hyperparameters remains an unresolved issue. In this paper, we address this challenge by employing model averaging instead of model selection. Specifically, we adaptively solve the hyperparameter selection problem by utilizing a distance covariance-weighted method, effectively balancing the bias and variance of the predictive model. Additionally, we propose an enhanced model that employs a boosting approach based on sufficiently reducing dimensionality through a multifactor model. This approach captures stock price sequence information beyond volatility. Practical data analysis demonstrates that the proposed method exhibits significant advantages over the original LSTM model in terms of mean square error or absolute error. Furthermore, the proposed framework can be applied to hyperparameter selection in other time series prediction models, such as autoregressive integrated moving averages (ARIMA), including the selection of autoregressive and partial autocorrelation orders.
Research on the Google Stock Price Prediction Based on SVR, Random Forest, and KNN Models
Authors: Huang Yuping
Published: January 2024

The prediction of stock prices is an intriguing and difficult study issue. Due to its frequent offers of quick rewards and low risk of loss, the stock market is currently regarded as a prestigious trading sector. Data mining and business researchers find the stock market to be an ideal environment due to its extensive and dynamic information sources. In this paper, the data of google stock price from 2018-1-2 to 2023-3-31 is imported. As our classification algorithms, the authors independently selected and contrasted super vector regression, random forest, and K-nearest neighbor. Following test, analysis, and comparison of these classifiers and calculate the mean square error of test data, the final result was reached. According to the result, the random forest has the smallest MSE value, so it is the best prediction and uses this method to predict the stock price of next ten days. After using random forest to do the stock price prediction, we find that the close price has the increasing trend for next ten days, which is good for the investors.
Different Gene Therapies Fortreatment of Hemophilia A
Authors: Qian Hongren , Zhou Xuantong
Published: January 2024

According to US Center for Disease Control and Prevention, there are 12 per 100000 males born with hemophilia A in US, and there are 400 male babies born with hemophilia A per year. Hemophilia A is type of disease that is inherited with X-linked recessive that have mutation in Factor VII gene. Recently, there are types of gene therapies success in hepatic vivo gene transferring. In this review, this paper will discuss three types of gene therapies for hemophilia A which are Zinc Finger Nucleases (ZFNs) and Transcription Activator Factors (TALENs) and CRISPER Cas9. ZFNs using the zinc finger DNA binding array in conjunction with FoKI cleavage nucleases domain to target and cleave to trigger the DNA repairing. In TALENs researchers induced pluripotent stem cells (iPSCs) derived by TALENickases to target the FVIII site. The latest research is using CRISPR Cas9 as a gene editing method to treat hemophilia A. The researchers used this method to repair the mutated gene so that the FVIII factor could be expressed normally. The paper also explains the current methods and process of delivery in gene therapy and shows the pros and cons of each. In conclusion, this paper express our prospects for future research about gene therapies.
The Impact of Different Financial Instruments on Investor Preferences
Authors: Dong Chenghao
Published: January 2024

In contemporary society, as the economy steadily expands, individuals are increasingly exploring diverse financial avenues to maximize their returns. This article focuses on the analysis of prevalent financial methods, their associated risks, and their influence on investor inclinations. Through an examination of recent data and a review of pertinent literature, it is evident that the stock market carries substantial risk, rendering it suitable for investors with moderate to high risk tolerance. Conversely, bonds exhibit a comparatively stable trajectory, making them an apt choice for risk-averse investors. Options and futures exhibit moderate fluctuations aligned with the futures market, rendering them suitable for investors with a low to medium risk appetite. Selecting an appropriate financial method aligned with individual preferences can significantly enhance one's financial prospects. This prudent decision-making process contributes to more efficient and rational financial gains. However, it is imperative to recognize that these choices bear substantial consequences, underscoring the importance of informed decision-making in the realm of finance.
Research on Drug Classification Using Machine Learning Model
Authors: Chen Changlin
Published: January 2024

In the recent years, more and more fields around the development and application of artificial intelligence have received new improvements and breakthroughs. Among them, drug design and classification are one of the most popular application areas which can provide the greatest help to the society. According to statistics, the number of newly listed drugs in the world is decreasing year by year. At the same time, the risks and costs of drug development are increasing year by year which illustrates a different trend compared with the newly listed drugs. In this case, the application of artificial intelligence technology provides a new idea and opportunity to solve the problem of drug design and classification with higher accuracy than human work. This paper aims to do a research based on using machine learning models to produce suitable outcomes for patients of different drug types in order to reduce the working pressure of doctors in the hospitals.
Chimeric Antigen Receptor-T Cell Therapy with Breast Cancer
Authors: Zhang Tianyue
Published: January 2024

Breast cancer (BC) poses an increasingly serious threat to the women's health. In 2020, there will be 2.26 million new cases of BC, surpassing lung cancer for the first time and becoming the world's "first cancer". BC is distinguished by its intense invasion, extreme malignancy, and dismal outlook. High attention is needed. Chimera Antigen Receptor-T(CAR-T) has the potential to modify T cells and direct them towards particular tumor cells. It has made unheard-of advancements in hematological cancers since it was originally authorized for use in B-cell derived malignant tumors in 2017. In recent years, it has greatly reshaped the pattern of cancer treatment. At present, accumulated evidence suggests that this therapy may become the feasible treatment strategy for the solid tumors. This review will describe the main goals of this therapy for BC, list the challenges it faces, and offer the solutions to these problems, offering a unique strategy for breast cancer treatment.
Research on the Impact of Female Directors on Capital Structure Adjustment -- Based on the perspective of crash risk
Authors: Yue Rong , Liu Yucan
Published: January 2024

This paper selects all non-financial listed companies in Shanghai and Shenzhen A shares from 2010 to 2022 as the research object, based on dynamic capital structure theory, high-level echelon theory and resource dependence theory, through panel regression , to explore the impact of female directors themselves on the speed of capital structure adjustment; And introducing crash risk into the extended model to test the relationship between female directors and the speed of capital structure adjustment from the perspective of crash risk. The results show that the existence of female directors in the board of directors will optimize the capital structure, and the increase in the proportion of female directors in the board of directors will improve the speed of capital structure adjustment; Due to the characteristics of conservative and cautious women, the existence of female directors in the board of directors will reduce the risk of stock price collapse; Based on the perspective of collapse risk, female directors still improve the speed of capital structure adjustment.
Contribution and Development Trend of the Robotics Industry in the Context of Declining Population Growth Rate
Authors: Zheng Yingjun
Published: January 2024

In modern society, with a higher level of education for women, the growth rate of the population is dropping. Together with the improvements in AI systems, robots might play a more crucial role in future development than before. However, some may argue that the application of AI may result in a high unemployment rate which is a phenomenon that the government does not want to see. This paper discussed the problems that arise from aging, the obstacles that have been met in the robotic industry and how to solve them. Although robotics is more sophisticated compared to the past and has already had a significant state in the automated production industry, there are still obvious shortcomings in personalized service since it is too difficult for language models to understand human reactions. In the future, this issue might be solved by instilling more expertise in AI, as well as writing new programming code might solve the existing problems.
Investment Analysis of Artificial Intelligence
Authors: Zhang Axin
Published: January 2024

As the core technology of the new round of social change, artificial intelligence is promoting the upgrading of traditional industries and driving the rapid development of the "unmanned economy," which will have an extremely important impact on the fields of intelligent transportation, smart home, and intelligent medical care. With the arrival of the information age, through coding, programmed machines can complete the tasks that humans can not complete which is intelligence. Today's artificial intelligence allows people to witness real intelligence: let the machine be automatic, through simulation of human thinking and learning ability, to complete many complex tasks and decision-making, with the data, arithmetic, and algorithms to achieve continuous breakthroughs. Additionally, artificial intelligence may even enter an eternal spring. The foreseeable is that AI will reshape human life in the future, and the era of AI with infinite possibilities will come in full swing. The factors that make artificial intelligence worthwhile for people to invest in are crucial. In recent years, people have devoted a lot of time and effort to the invention of artificial intelligence in order to make life more convenient, make people's travel easier, and reduce a lot of unnecessary expenses as well and save a lot of time. Besides, the development of human beings has always been inseparable from artificial intelligence. Every stage of development is improved by technology. However, the emergence of artificial intelligence will undoubtedly improve our lives and enhance our quality of life. More precisely, AI has liberated a large amount of labor and enhanced the way of human thinking.
Advancements In Low-Power Technologies: Clock-Gated Circuits and Beyond
Authors: Hu Kunpeng , Hou Xingyu , Lin Zicheng
Published: January 2024

With the continuous advancement of the integrated circuit industry, there has been a steady rise in the level of integration and circuit scale. This inevitably leads to an escalation in power consumption by electronic devices, underscoring the growing significance of low-power technology. This comprehensive review initiates by elucidating the fundamental concept of low power, followed by an exploration of optimization measures utilizing clock-gated circuits as a prime example. Subsequently, it outlines the current challenges and prospects associated with low-power technologies. The core focus of this review revolves around the utilization of clock tree structures and triggers, which constitute the primary contributors to dynamic power consumption. These methodologies are presently the most prevalent and efficacious means to curtail power consumption through clock gating. The methodologies expounded in this review adeptly fulfill the objective of power reduction, ensuring that both present and future integrated circuits remain highly efficient. Thus, underscoring the critical role of low-power design in the realm of integrated circuit design.
Evaluation Analysis on Influences of AHP-TOPSIS-Model-Based Artificial Intelligence on College Students Learning
Authors: Wang Wei , Peng Jinlong , Li Chenhao , Guo Feng , Jiao Jun , Deng Qianyi
Published: January 2024

In recent years, the field of artificial intelligence has witnessed rapid development and continuous technological advancements. It has found widespread application in various domains, exerting profound influences on all aspects of human social life. This article focuses on evaluating the impact of artificial intelligence on college students' learning. Based on a survey of 4605 participants, the collected data was transformed into numerical values and underwent preliminary data processing. An indicator evaluation system was established, encompassing priority, scientificity, and feasibility, in order to construct a comprehensive evaluation framework. By conducting both objective and subjective analyses of the survey questions, the obtained weight values were subjected to consistency tests, which confirmed their reliability. Through the application of the Analytic Hierarchy Process (AHP), the final weights were determined, and the top eight indicators were selected for evaluation. An AHP-TOPSIS combined evaluation model was developed, which concludes that artificial intelligence has significantly influenced college students' learning and yielded positive effects. The novelty of this article lies in the utilization of the AHP-TOPSIS combined evaluation model, which incorporates the advantages of both models and avoids the limitations associated with a single model, such as biased perspectives and low reliability.
The Changing Trend of Primary Medical Care in China From The Perspective of Urban and Rural Areas
Authors: Luo Zixuan
Published: January 2024

As one of the most populous countries in the world, China has consistently grappled with the challenge of uneven distribution and inequitable provision of medical resources between urban and rural areas. Urban regions boast a greater number of medical facilities and healthcare professionals compared to their rural counterparts, exacerbating the issue of insufficient medical resources and inadequate services in rural areas. This disparity not only impacts the health status of rural residents but also perpetuates social inequality between urban and rural communities.   With China's ongoing process of urbanization, these disparities in healthcare have become increasingly pronounced. The objective of this study is to examine the evolving trends in China's primary healthcare system from an urban-rural perspective, aiming to gain a better understanding of how medical resources are distributed, access to healthcare services is facilitated, and disparities in medical consumption persist between urban and rural areas. The findings from this study yield several crucial recommendations: Firstly, it is imperative to prioritize enhancing the establishment of primary healthcare facilities in rural areas by significantly increasing both the quantity and quality standards for medical institutions while improving bed availability to meet the pressing needs for adequate healthcare among rural residents. Secondly, measures should be implemented to bridge the gap in distribution between health workers serving urban versus rural populations by incentivizing more professionals to engage in medical work within undeserved regions to ensure timely access for all individuals residing outside major cities. Additionally, both government entities and society at large should encourage increased investment by rural residents into their expenditure on healthcare while simultaneously improving overall levels of medical security coverage as a means of alleviating financial distress. Finally, it is imperative to adapt and optimize the rural industrial structure following the specific circumstances of different regions, thereby enhancing the income of rural residents and augmenting their capacity to allocate resources towards medical and healthcare expenditures.
The Relationship Between Aspect Ratio and Lift/Drag Ratio
Authors: Zhang Fandong
Published: January 2024

Modern aircraft requires a reliable structural design, and the Lift/Drag ratio possesses irreplaceable features in such a design. Most of the current experiments are based on passenger aircraft models and few are conducted on the Lift/Drag ratio of gliders. The value of the Lift/Drag ratio is related to several factors. This paper discusses the relationship between aspect ratio and Lift/Drag ratio. At first, brief corresponding knowledge is provided while predicting such a relationship based on related theorems. Then, an experiment based on self-constructed aircraft is conducted to obtain practical data. Finding that as the wingspan ratio increases, so does the lift-drag ratio. The disadvantage is that the environment is subject to more unstable factors. The experiment can be more accurate if it changes the field without wind. This experiment can provide more realistic experimental data in the field of gliders. The innovative idea of this experiment can be extended to many experiments. Finally, the data are analyzed to form the result. By comparing the result and prediction, the deficiencies in this experiment are discovered in the experiment and improvements are provided. In the end, the whole process and prediction of the future development of related technologies were concluded. By exploring the Lift/Drag ratio of the glider model, the data of the Lift/Drag ratio of the glider can be perfected. The innovation of this experiment can also be applied to research in different fields.
Prediction of Living Status for Breast Cancer Patients Using Machine Learning
Authors: Han Yaqian
Published: January 2024

Due to reasons such as diet, living habits, and genes, etc., breast cancer has gradually become a common high mortality disease and is not limited to women. Many patients suffer from terrible illness or even death due to untimely treatment or incorrect prediction of tumors. This study has 500 observations in total through utilizing the combination of oversampling and undersampling. What’s more, by using advanced machine learning, the method of recursive feature elimination and random forest, this research constructs a model and select four types of protein content in the body and age as the most relevant features in predicting patients’ living status. The model has a relative high accuracy 98.052% and can provide physicians relative accurate information to give targeted treatment. It also can be utilized as a warning to remind patients of their current physical condition. Early treatment and accurate diagnosis can significantly improve patient survival rates.
Numerical Simulation Analysis and Research of Large Scale Garden Construction Waste Mounding Hill Landscaping
Authors: Xu Guangxing , Li Pan , Li Shoufu , Wang Teng , Li Jianning , Zhang Tianchao , Zhao Jingzhong , Mu Dongdong , Wang Yanyun , Guo Kun , Gu Weiye , Li Jianjun
Published: January 2024

Along with the rapid development of international metropolis, China's urbanization is developing faster and faster. In the process of China's urbanization development, mountain mounding with construction waste is one of the most direct, effective and economical means to deal with construction waste, not only that, but also, one of the important methods for ecological restoration project of landscape gardening, this method has several advantages such as green construction, green low carbon, energy saving and carbon reduction, etc. It also improves the utilization rate of resources, has high economic and environmental benefits, and also has high High research value and social significance.Since there are differences in the mechanical properties of the original soil and the mounded hill materials in the process of construction waste mounding, as well as, differences in the soil quality in different regions, it is necessary to study the stability of the hill. In this paper, the following research results are obtained through actual case studies of typical landscape projects: first, geomechanical tests are conducted on the raw soil and construction waste mound hill materials to obtain the particle size ratios, maximum dry density and optimum moisture content, and compression modulus of specific mixes, and the triaxial shear test proves that each stress-strain curve basically conforms to the Duncan-Zhang hyperbolic relationship assumption before the peak occurs.Finally, numerical simulations were carried out for different working conditions in combination with the three-dimensional calculation model, and the calculation and analysis of the Bishop consolidation theory were used to obtain the settlement displacement, horizontal displacement development and pore pressure dissipation process of the calculation model. The landslide stability of the slope is calculated and the minimum safety coefficient under normal conditions and the minimum safety coefficient under seismic conditions are both calculated by Swedish method and Bishop method respectively, both of which meet the requirements and determine the technical feasibility and reasonableness of the scheme. In the conclusion part of this paper, the problems and handling measures in the construction process are summarized to provide valuable experience for similar projects.
Current Distortion and Sensitivity Calibration Problems of Rogowski Coil
Authors: Bi Jiezheng , Ge Lumeng , Wang Ziyi
Published: January 2024

Driven by technology, China's power system has been greatly improved, and has been gradually transformed and upgraded, bringing great improvements to performance in all aspects. Current distortion and sensitivity misalignment of Rogowski coils have always been the key problems to be solved in practical applications. This paper summarizes the methods of calibrating the sensitivity of the Rogowski coil in the shape of the single ring arbitrary skeleton, the Rogowski coil of the double ring skeleton and the Rogowski coil in the shape of the round skeleton, which provides the basis for other improvements of the Rogowski coils. The existing method to solve the current distortion of the Rogowski coil has a single method in the output of the differential current signal, which will reduce the limitation of the measurement range, and the suppression problem still cannot be solved well. This paper summarizes the solutions to current distortion in Rogowski coils, introduces the causes and solutions of current sensor and transistor current distortion, and puts forward certain correlations to provide reference and direction for follow-up research.
Comparison of The Dividend Discount Model and The Discounted Cash Flow Model Valuation of Stock Kweichow Moutai
Authors: Tang Qiuru
Published: January 2024

Stock valuation is an essential element of investment analysis, aiding investors in gauging a company's true worth. This essay conducts a literature review and a thorough demonstration of the calculation process, focusing on the Discounted Cash Flow (DCF) Model and the Dividend Discount Model (DDM), as key tools in stock valuation. The research examines the valuation of Kweichow Moutai Co., Ltd., a prominent Chinese company in the beverage industry. The results yielded significant disparities from the market price, with the DCF model indicating potential overvaluation by approximately -33.39%, while the DDM model pointed to an even greater overvaluation of about -77.94%. These findings underscore the complexity of stock valuation and the need for a comprehensive approach. Investors should not solely rely on market sentiment but should combine these models with extensive research and a diversified portfolio strategy.
The Mechanism of Tumor Metastasis
Authors: Qu Guanyu
Published: January 2024

Nowadays, cancer is the leading cause of human health problems, and the vast majority of deaths are caused by metastatic cancer. The disease is not easy to detect in the early stage, in a latent state, after a period of time, is found to be in an advanced stage, difficult to cure. The current treatment methods include chemotherapy, radiotherapy, surgery, anti-cancer drugs, etc., after clinical application, there is a little basis but also has its limitations. In particular, there are many studies on the mechanism of action of a series of factors that cause tumor metastasis, the specific cause of metastasis is still unclear, which brings challenges to the treatment of metastatic tumors. This article reviews the basic definition and characteristics of cancer, the process of tumor metastasis, describes the known influencing factors, and explores possible targeted therapies. It is hoped that this will help and inspire future research into cancer treatments.
Cost-effectiveness Analysis in Low Impact Development of Qinxin District, Qingyuan City, Guangdong China
Authors: Zhou Junbo
Published: January 2024

In recent years, thanks to extreme weather like storms and downpours, flood events have occurred frequently worldwide, endangering the personal and property safety of citizens. Most developed regions use low impact development (LID) measures to prevent flooding and other water-caused disasters. However, the laying cost of LID is expensive, and the utility of LID is different based on different types of LID facilities. Given the flood news in the Qingxin District of Qingyuan City, which caused plenty of citizen lives and property losses, it is necessary and urgent to study the drainage system plan and construction in this place in order to prevent another blow from bad weather in the future. Therefore, this paper aims to study the cost-effectiveness of various types of LID by the precipitation data of Qingyuan so as to find out how to reduce flood inundation at the lowest cost. The results demonstrate that the covered area of vegetative swale is simply 600m^2, and it can reduce most runoff and outflow. Besides, multiple LIDs can reduce nearly 40% of runoff and overflow in the most significant gap. Based on the reliable simulation analysis and former research, it can be concluded that the vegetative swale is the most cost-effective facility toward other LIDs, and the permeable pavement is the worst efficiency measure.
Analysis of Treatment for Eye Cancer Based on Existing Materials
Authors: Li Wenxuan
Published: January 2024

With the improvement of screening mechanisms for eye diseases and the popularization of cancer screening, more and more people discover that they have different types and degrees of eye cancers. These cancers can affect the skin of their eyes, may also make their vision decreased, and may even deprive their eyeballs. Besides, these diseases will affect patients’ physical and mental health. Therefor patients want to find the most appropriate treatment to manage the disease. However, some treatments are may not so effective or suitable for each individual. Based on the existing literature, canonical analysis, clinical trial analysis and content integration were used to analyze the three effective and popular methods of treating ocular cancers. Studies have found that Surgical excisions, Chemotherapy, Immune Checkpoint Inhibitor therapy are effective in the treatment of eye cancers (squamous cell carcinoma of the eyelids, basal cell carcinoma of the eyelids, retinoblastoma, metastatic melanoma of eye and orbit), although some treatments do not have the most effective treatment for some cancers.
Analysis of the Development of Entertainment Industry: Evidence from Huayi Brothers
Authors: Yang Shiyao
Published: January 2024

As one of the leading enterprises in the entertainment industry, Huayi Brothers' evaluation of its commercial value helps to understand the development potential and current situation of China's media and entertainment industry. This article mainly provides a review of the value evaluation of Huayi Brothers, a listed company. It introduces the value of Huayi Brothers itself and its investment value and combines existing valuation evaluations to analyze and introduce the development trend of China's media and entertainment industry in the post pandemic era. Finally, by studying market changes, comparing market and media sector performance, and conducting valuation analysis on the market value of this type of company, the development potential of the entertainment industry under the digital trend was explored, and the viewpoint that the media and entertainment industry still has development potential was further clarified. Overall, these results shed light on guiding further exploration of valuation for the whole entertainment industry.
Exemestane in Breast Cancer Treatment: Literature Review
Authors: Li Xingyi , Zhou Guangyang
Published: January 2024

Breast cancer (BC) is a pervasive global health concern, impacting millions each year. This literature review explores the role of exemestane in BC treatment. Exemestane inhibits the development of hormone receptor-positive (HR+) BC by drastically lowering oestrogen levels. Its efficacy is evident in early and advanced BC stages, with potential cost-effectiveness. While predominantly used in postmenopausal women, it shows promise in premenopausal patients when combined with ovarian suppression. Caution is needed in elderly populations when combined with other drugs, as adverse effects are more pronounced. Exemestane emerges as a crucial therapeutic tool, necessitating personalized treatment decisions for optimal patient outcomes.
Dietetic-nutritional management strategies for patients with chronic kidney disease
Authors: Zheng Qin
Published: January 2024

Diet management is the key to nutritional intervention for CKD patients, the most restrictive diet among all chronic diseases, so the dietetic-nutritional management of CKD patients becomes an important element in clinical work. According to the clinical practice guidelines for the nutritional therapy of chronic kidney disease, this paper describes the diet management of patients from the perspective of seven nutrients, aiming to provide reference for clinical work.
Treatment of Rheumatoid Arthritis (RA) Using Mesenchymal Stem Cells (MSC)
Authors: Sun Lanyi
Published: January 2024

Rheumatoid arthritis (RA), as an persistent autoimmune condition, it is known for causing persistent synovitis, gradual deterioration of cartilage and bone, ultimately resulting in disability and widespread inflammation. Until now, the onset and development mechanisms of RA remain elusive, although the new technology and drugs can certainly help patients to certain degree. However, about 30% RA patients is not responsible for targeting treatment or serious side effects, such as bone marrow inhibition, organs dysfunction, and inflection due to immune inhibition. Research data showed that therapeutic mesenchymal stem cells (MSCs), is a novel therapeutic strategy with safety and effective to inhibit inflammation and promote regeneration of bone and cartilage, especially for refractory RA. Here, the author summarized the development MSC-based treatment for RA models and patients, analysis the optimistic outlook and possible difficulties for clinical applications in future.
Research on the Financial Situation and Future Development of Mengniu Company in the Past Three Years
Authors: Xiang Chengxuan
Published: January 2024

This article reflects on the development of Mengniu in the past few years and its future development expectations through some basic data analysis on the annual report of Mengniu. By analyzing and comparing the data, it is found that the operating conditions of Mengniu Company in recent years are not very good. Affected by the epidemic, Mengniu's profitability, operating capabilities, and debt repayment capabilities showed a downward trend. Although Mengniu took various measures to restore the situation, most of them have not achieved good results. In addition, whether it is the melamine incident more than ten years ago or the recent mandatory modification in national standards, Mengniu has been questioned time and time again by public opinion, which has also had a major impact on Mengniu's future development. In short, through the financial analysis of Mengniu, the article finds that the future development of Mengniu is full of bumps.
Research on portfolio in the US stock
Authors: Jiang Chenye
Published: January 2024

Due to the global recession caused by the effects of pandemics, the Russia-Ukraine war, and the Fed's interest rate hike, investors are wary of the U.S. stock market. In this paper, we will focus on how to find quality portfolios by using Harry Markowitz's variance portfolio model. Firstly, the data is retrieved to see the return distribution of each stock in this article four stocks are used which are Amazon (AMZN), Apple (AAPL), Microsoft (MSFT) and Tesla (TSLA), the expected return and standard deviation of the portfolio are modelled using the Monte Carlo model, and finally Scipy is used to solve for the minimum variance frontier and the most assets portfolio to obtain the optimal asset portfolio return case, the global minimum variance portfolio point, and finally bring it into the CML market for display, the chart can clearly observe the most assets portfolio and the distribution of the asset portfolio, which plays a key role in the later market practice of the investor.
Research on the Impact of Logistics and E-commerce on JD.com
Authors: Jin Hexu
Published: January 2024

ESG (Environment, Social, and Governance) considerations take significant weight in valuing a company for investors. They are essential to show each company’s growth and sustainability. As the generations change, more and more companies take ESG seriously and start advancing their products to gain more customers and build a sustainable brand image. In this report, ESG is primary factor in evaluating of JD.Com Inc. In the annual report of JD.Com Inc., it can be seen that there are three main segments of the operating income period, and two business segments account for the main part. Therefore, in this report, people will analyze the basic competitive situation of the two business sectors of the company and the judgment of competitive strategy respectively through Porter's Five Forces model. Analyze whether JD.Com Inc. is a company on the rise, the industry, and future prospects. This company belongs to an industry with highly predictable cash flow, so in this report, discounted cash flow valuation model (DCF model) will be used to analyze JD.Com Inc. Whether is at a reasonable valuation price.
Classification Of Robots and Industrial and Medical Applications
Authors: Zhang Haotian
Published: January 2024

In the last 100 years, robots have evolved from fantasy to reality. Their design, research, and manufacture require the combination of various subjects such as CS, EEE, ME, AI, and others. The main objective is to replace humans in performing heavy or impossible tasks. Robots are classified into different categories based on their era and usefulness. This thesis will analyze industrial robots in terms of their basic stress conditions and activity scope with four degrees of freedom for the normal robot arm. The system architecture, various field interactions, and structure of mechanical fingers for human-like robot arms will also be analyzed. Additionally, this paper will examine the usefulness of service industry robots and highlight the exoskeleton robot for medical treatment by analyzing the forces, torques, and displacements during the walking of patients with lower limb disabilities. The interaction force between humans and exoskeleton robots will be calculated and a model will be constructed. Finally, some difficulties and possible solutions will be presented.
Financial Derivatives and Gold: Choosing the Appropriate Risk Hedging Instrument under COVID-19 Crisis
Authors: Shao Zhaoru
Published: January 2024

This essay delves into the strategic use of financial derivatives and gold as instruments for hedging against market volatility, with a specific focus on the energy and food sectors. By analyzing case studies of prominent entities like Sinopec, BP, Bunge, and the Russian Federation, the paper elucidates how these entities have leveraged futures, options, swaps, and gold to shield themselves from the perils posed by price fluctuations, exchange rate fluctuations, and geopolitical tensions. In this examination, the essay thoroughly assesses the merits and drawbacks of these hedging tools. Financial derivatives, it argues, offer an efficient means of short-term risk mitigation, particularly when dealing with anticipated fluctuations within a defined range. On the other hand, gold emerges as a robust choice for long-term hedging, providing a stable refuge against pervasive uncertainties. Furthermore, this essay extends valuable guidance to investors and managers, advocating for a tailored approach grounded in individual risk appetites and the prevailing market dynamics. It underscores the importance of choosing between financial derivatives and gold based on the specific requirements of their risk management strategies. This essay asserts that a judicious blend of financial derivatives and gold can protect against market volatility. It serves as a testament to the nuanced decision-making required in navigating the complex landscape of risk management in the energy and food sectors.
An Investigation on Reed-Solomon Codes as Erasure Coding Technique on Its Properties and Utilizations
Authors: Chen Jianning
Published: January 2024

Erasure coding is an essential part of cloud computing, which is an important technology for effective data storage for recovering data that may be lost due to various reasons, there are various erasure coding techniques in the market. In this paper, linear MDS codes, which is a branch of erasure coding, will be investigated on their performance and usage. This paper will focus on the Reed-Solomon Code, which is the most implemented form of linear MDS codes, on three different aspects: 1) the methodologies of the encoding and decoding operations; 2) the pros and cons of different forms of Reed-Solomon Codes; 3) the different ways that different Reed-Solomon Codes are being employed. Moreover, the paper includes the definition of general Cloud Computing for the audience to understand its importance, how the erasure coding acts like a fault tolerance system of Cloud Computing, and how different kinds of Reed-Solomon code perform on tolerating erasures in cloud storage failures.
Analysis of Financial analysis for McDonald's (USA)
Authors: Zhang Yiming
Published: January 2024

As a matter of fact, regarding as the world's largest fast food chain, McDonald's financial situation has been under scrutiny in recent years. On this basis, it is crucial to investigate the financial situation of McDonald. Through the financial analysis of McDonald's, one can understand its performance in operation management, investment decision-making and other aspects, so as to provide reference for future development. With this in mind, this paper mainly studies and discusses the change of McDonald's company's financial situation. To be specific, first of all, the basic situation and operating environment of McDonald's company are introduced, and then the financial statements of McDonald's company are analyzed, including profitability indicators, debt paying indicators, operating indicators and so on. In addition, according to the analysis results, some suggestions are put forward to help McDonald's develop better. Overall, these results shed light on guiding further exploration of the financial analysis for the fast food chain.
Unlocking The Potential of Lidar: Principles, Applications, And Future Prospects
Authors: Zheng Yifan
Published: January 2024

Light Detecting and Ranging (LiDAR) has been experiencing a surge in popularity within the realm of high-tech innovations. This article elaborates on the operational principles, structural intricacies, and scanning methodologies of contemporary LiDAR devices. Additionally, this article provides a comprehensive overview of the diverse array of applications that LiDAR technology finds utility in, ranging from remote sensing and transportation to geography, atmospheric science, and astronomy. In the context of Time of Flight (ToF) LiDAR, the underlying operational concept revolves around measuring the temporal delay of the laser beam's journey from the device to the target. Conversely, Frequency Modulated Continuous Wave (FMCW) LiDAR operates by quantifying alterations in the wavelength of the reflected laser in comparison to the originally emitted laser, leveraging the Doppler effect. LiDAR products serve as invaluable tools for geologists, enabling them to generate 3D maps for researching various targets such as forestry, coastline morphology, and river bathymetry. Meanwhile, atmospheric scientists harness LiDAR products to delve into studies concerning atmospheric composition and meteorological phenomena. In the foreseeable future, it is anticipated that LiDAR products will witness widespread adoption across an array of applications, including autonomous vehicles and beyond.
How Investors Choose Assets Among Pfizer, Walgreens, and CVS
Authors: Bao Junyuan
Published: January 2024

Investment is one of the most important economic activities, and a reasonable investment method can help investors continuously obtain stable returns and complete the process of wealth accumulation. The healthcare industry, as a technology and capital-intensive industry, has always been a favored area for investors. This study selected three companies, Pfizer, Walgreens, and CVS, and analyzed financial data from different perspectives, including risk, profitability, and market ratio; Based on these data, this study determined the investment preferences of several types of investors in three companies, and the results showed that value and return investors would invest in Pfizer and Walgreens, while stock repurchase investors would invest in CVS. The analysis in this article is crucial for helping people determine which type of stock to invest in, thereby improving their chances of outperforming the market.
Research on Uncertainty and its Application in Financial Markets
Authors: Mao Yifan
Published: January 2024

This paper explores the theoretical frameworks and practical implications of uncertainty in economics and decision-making. And also delves into categorical uncertainty, including Economic Policy Uncertainty (EPU), Climate Policy Uncertainty (CPU), and Trade Policy Uncertainty (TPU). These forms of uncertainty can have profound effects on economic activities, market behaviour, and investment decisions. Furthermore, the paper discusses an innovative approach to measuring uncertainty using online big data, particularly Twitter-based uncertainty indices. These indices provide real-time insights into public sentiment and have been shown to impact stock market forecasts, although they are not without limitations, such as potential manipulation and data representativeness issues. The impact of uncertainty on financial markets is multifaceted, affecting different asset classes differently. High uncertainty can lead to increased volatility in stock markets, while oil and digital currency markets are also sensitive to geopolitical and economic uncertainties. The role of technology and algorithmic trading in uncertain markets is highlighted, with High-Frequency Trading (HFT) becoming increasingly prevalent. HFT can provide speed and efficiency but is a subject of debate regarding its impact on market stability. Future research trends may continue to focus on the intersection of technology and market uncertainty, seeking to better understand its implications and potential risks.