bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimizing vehicle aerodynamics through the synergistic application of Design of Experiments (DoE) and Computational Fluid Dynamics (CFD)
Authors: Lu Yi
Published: January 2024

The aerodynamic design of cars not only creates aesthetic and diverse car shapes, but also ensures their safety and fuel economy. According to Mustafa Cakir's research[1], approximately  of the fuel consumption of a car traveling at high speeds is used to counteract air resistance. However, with the increasing severity of global warming, emissions standards for automobile exhaust are becoming increasingly stringent. Considering that gasoline vehicles still dominate the household car market, optimizing the aerodynamic design of automobiles is imperative. This work analyzes and optimizes the aerodynamic design of automobiles through the synergistic application of Design of Experiments (DoE) and Computational Fluid Dynamics (CFD). Before conducting experiments, the article first introduces and derives the basic control equations of computational fluid dynamics, namely the continuity equation and Navier-Stokes equation, and describes how they are used in experiments. Then, the article briefly introduces the drag coefficients of automobiles, which are important theoretical basis for subsequent aerodynamic design optimization in this article. In the experimental part, this study focuses on the influence of four important design parameters: angle of the front window , angle of the hood , angle of the back window , and length of the trunk . Using Solidworks 3D modeling software, the article simulates these design parameters and prepares for CFD numerical simulation by geometry, setting computational domain, boundary conditions, and objective functions, and generating mesh. Based on the DoE and numerical simulation results, the article ultimately selects a front window angle of , a hood angle of , a back window of , and  as the optimized design. Compared with the basic model, the optimized model reduces the drag coefficient by about . The conclusion of this study provides ideas and theoretical basis for the aerodynamic optimization design of new generation automobiles with the incorporation of DoE. However, the design parameters of automobiles are countless, and in the future, this article will strive to research and simulate more diverse automobile designs and analyze their aerodynamic performance to explore more optimized designs.
New therapy against breast cancer: mRNA cancer vaccines
Authors: Jin Zhengwei
Published: January 2024

Breast cancer is the common diagnosed cancer around the world with high rate of incidence and mortality. Nowadays, although endocrine therapy, and anti-HER2 targeted therapy got a advance in chemotherapy in the past decades, but our studies face the challenge about the relapse and metastasis of breast cancer. Human beings are in need of innovative treatment strategies to change this situation. Immunotherapy has become the mainstream cancer treatment strategy in recent years. mRNA tumor vaccine has gradually occupied the main position in breast cancer treatment with its special advantages of low toxicity, fast manufacturing and safety, high efficiency, and mRNA vaccine has great advantages over current vaccines. This article mainly reviews the progress of mRNA vaccine in breast cancer, and summarizes the possible challenges.
Neuroregulation Techniques in the Treatment of Depression
Authors: Wan Mingzhe
Published: January 2024

Depression, a pervasive mental disorder, profoundly diminishes patients' well-being, affecting millions globally. As the need for effective treatment strategies heightens, neuroregulation techniques are emerging as promising tools against this ailment. Techniques such as transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), and deep brain stimulation (DBS) have gained significant traction in recent times. These methods, while rooted in different operational principles, aim to modulate neural activity, thereby influencing mood and depressive symptoms. Early clinical studies have demonstrated their potential in producing therapeutic benefits. Notably, patients who were previously resistant to conventional treatments have shown remarkable improvement with these neuroregulation approaches. Yet, challenges persist. The response to these treatments often varies across individuals, complicating standardized approaches. Additionally, the optimal parameters for applying these techniques remain elusive, often requiring trial-and-error to determine. Moving forward, the research landscape should pivot towards refining these parameters, unearthing reliable biomarkers that can predict treatment efficacy, and exploring synergistic applications combining multiple neuroregulation methods. By addressing these challenges, we can potentially unlock a new era of depression therapy, providing hope to those grappling with this debilitating condition.
Research on Problems and Countermeasures for the Chinese A-share Market
Authors: Tang Jiatian
Published: January 2024

Nowadays, the A-share market plays an important role in Chinese society and promotes China’s economic development. It has strengthened the public's awareness of investment and financial management, promoted the progress and growth of many listed companies, and increased the government's fiscal revenue and credibility. Although the A-share market has accumulated lots of wealth and provided development opportunities for China, it also faces great challenges. This paper will introduce the current situation of China's A-share market, several existing problems and corresponding countermeasures and suggestions, in order to create healthy and sustainable development of the A-share market. The proposed problems are the high volatility of stock market, large number of inferior listed companies and serious illegal phenomena. Finally, the research can help investors protect their rights effectively and facilitate the work of the market supervisor.
Fundamentals Analysis and Investment Decision-making for Six Companies among Three Industries
Authors: Chen Zixin , Li Yichen , Song Minqi
Published: January 2024

Investors can significantly increase their funds by choosing excellent stocks, but choosing a good stock is a problem that investors face. This article collected data on six companies' risks, profitability, market ratios from three industries through Yahoo Finance for in-depth analysis. Specifically, this study conducted an in-depth analysis of the investment decisions of several categories of investors through these data. The results indicate that BP has attracted value investors, income investors, PEG investors, index investors, DCF investors, and stock repurchases. Shell has attracted value investors, income investors, PEG investors, index investors, ratio investors, DCF investors, insider investors, and stock repurchases. CVS Health has attracted index investors, DCF investors, insider investors, and stock repurchases. McKesson has attracted PEG investors, index investors, DCF investors, momentum investors, insider investors, and stock repurchases. Wal Mart attracts index investors, DCF investors, momentum investors, insider investors and stock repurchases. Marriott International attracts DCF investors, momentum investors, insider investors, and stock repurchases.
TINY HOUSE IN THE DESERT: A study in indoor comfort using moveable insulation and thermal storage
Authors: He Yuqing
Published: January 2024

A tiny house for seasonal rangers was designed for the extreme climate and diurnal temperature fluctuations of Joshua Tree National Park. The challenging climate conditions resulted in an extensive investigation of the building envelope to act as a passive thermal storage system to naturally cool and heat the house. The north wall was designed as a “cold battery,” which uses a dynamic internal and external insulation system with a high-mass concrete wall to achieve coolth absorption at night as part of a thermal management system and to achieve indoor thermal comfort under extreme desert climates. A combination of opening an exterior insulation system at night to absorb coolth, closing the exterior insulation system when the temperature rises, and opening the interior insulation system to release coolth was attempted. The goal was to achieve a comfortable indoor temperature without the use of HVAC systems. Several software programs were tested for their capabilities to simulate time lag in concrete and thermal storage including Opaque and IES VE. The design of the north wall was carried out for different conditions such as different modulating profiles, locations and thicknesses of insulation, and the data were collected and analyzed again. IES VE was able to successfully simulate the effects of moving interior and exterior insulation twice a day on different sides of a concrete wall. In consideration of the special occupancy type, the expansion of the comfort zone for seasonal rangers is achieved by the specification of a comfortable temperature range from 65°F to 85°F. In a standard year, consisting of 8,760 hours, simulations were conducted on the entire residence, primarily during the months when seasonal rangers were present, to investigate thermal comfort conditions. These assessments encompassed various aspects, including ventilation (2,941 comfort hours), the north wall (4,653 comfort hours), the base model (2,883 comfort hours), and enhancements to the south wall (5,543 comfort hours) and the east and west glazed facade (6,137 comfort hours). The culmination of these findings significantly contributed to an enhanced overall comfort experience within the tiny house design, specifically tailored to accommodate the needs of seasonal rangers at Joshua Tree National Park. Natural ventilation proved to be a good strategy.
Application of CAR-T cell therapy in the treatment of liver cancer
Authors: Wan Guochang , Zhang Yuxin
Published: January 2024

Liver cancer is a frequent malignant tumor with a high fatality rate. However, due to the challenges of early detection and the potentially significant dangers and side effects connected with conventional cancer therapy approaches. Immunotherapy has been a well-liked cancer treatment in recent years due to its efficacy and safety. One of these is chimeric antigen receptor T cells (CAR-T), genetically modified T lymphocytes that recognize and activate T lymphocytes in response to antigens specific to tumors. They aid in the elimination of tumors. Its therapeutic efficacy in the treatment of solid malignancies is currently the subject of extensive research. Despite reaching its fifth generation, CAR-T cell therapy still faces a number of challenges when treating solid malignancies like liver cancer. As a result, this article begins with describing the creation and workings of CAR-T cells. The function it plays in treating liver cancer, including pursuing several ethical goals, was then highlighted. Future treatments for liver cancer and potentially other solid tumors can use this as a benchmark.
Systematic Analysis and Research on Integrated Circuit Design Optimization
Authors: Deng Jingxi
Published: January 2024

After decades of development of integrated circuits, there has been great progress in all aspects. These advances are reflected in the optimization of manufacturing processes and circuits. When designing a circuit, considering the production cost and the performance of the circuit, the optimal design of the circuit is always a very important link. In this paper, two kinds of optimization ideas are introduced. One is from the point of view of the physical design of the circuit, two methods are introduced, which are adjusting the input power and reducing the circuit device. The other is to optimize the circuit from the point of view of algorithm. Genetic algorithm and simulated annealing algorithm are introduced. After optimizing the circuit, the circuit energy consumption is reduced, the circuit delay is reduced, the circuit runs faster, and the overall performance is also improved. In the future, with the development of related technologies, the optimization of integrated circuits will be faster.
Research on China's Economic Development under the Background of Anti-economic Globalization
Authors: Yang Jucong
Published: January 2024

This article combines the China's economic development under the background of deglobalization. Through analyzing the impact of deglobalization on China's economic development, it explores China's strategies to cope with deglobalization. The study found that deglobalization has had a significant impact on China's economic development, mainly including the impact on foreign trade, investment environment, economic structural adjustment, and national economic security. In order to respond to these impacts, this article proposes strategies such as optimizing foreign trade structure, enhancing technological innovation capability, strengthening international economic cooperation, and improving national economic security prevention capabilities. The research results indicate that properly addressing deglobalization can promote the healthy development of China's economy. Based on these findings, this article also looks forward to future research. In conclusion, this study aims to examine the issues of China's economic development under the background of deglobalization and provide reference for relevant decision-making.
Neuromodulation in Alzheimer’s Disease in the Therapy Process
Authors: Yan Shumeng
Published: January 2024

Increasing prevalence in the near future of Alzheimer’s disease (AD) has been statistically predicted. As current pharmacological treatments turn out to be limited for the long-term clinical effects accompanying various side effects and complications, new schemes are in urgent need of a relatively safer and more effective treatment. In recent years, neuromodulation technologies such as optogenetics, transcranial magnetic stimulation (TMS), vagus nerve stimulation (VNS), transcranial electrical stimulation (tES), deep brain stimulation (DBS), and focused ultrasound (FUS), which are proven with potential remedial effectiveness in several mental diseases, emerge to be a prospective therapeutic strategy for AD. By applying optical, magnetic, as well as electronic technology, modulations on specific brain regions can be achieved. And by applying ultrasonic technology, the process of medical molecules passing through the brain-blood barrier (BBB) can be facilitated. This article summarizes the current knowledge of some main neuromodulation technologies and provides insight into their possibilities for clinical application. By further illuminating the clinical effects, advantages, and limitations of these technologies, the article may help to guide clinical practice and enlighten new ideas for therapeutic strategy in AD.
Metabolic Abnormalities Linked to Antipsychotic Medication Therapy in Schizophrenia Patients
Authors: Zhao Fang
Published: January 2024

For many years, people with schizophrenia have been shown to have serious metabolic problems, such as clinically substantial weight gain, hypertension, and disruption of glucose homeostasis. A significant treatment challenge for physicians is weight gain brought on by antipsychotics. In research studies, obesity and weight gain have been linked to a number of unfavorable outcomes, such as poor medication adherence, a higher risk of cardiovascular and cerebrovascular disorders, higher death rates, and a lower quality of life. Due to metabolic problems and obesity, patients with schizophrenia have a significantly lower life expectancy and higher death rates than people in the general population. While almost all antipsychotic medications are known to cause weight gain, the extent of this weight increase varies widely. Patients typically experience a rapid initial weight gain shortly after starting antipsychotics, and this trend continues over the long term. However, the exact mechanisms by which antipsychotics lead to metabolic issues and weight gain remain unclear. Despite the fact that there are protocols for identifying and tracking metabolic issues brought on by antipsychotics, these recommendations are not consistently applied in clinical practice. Various studies have also explored strategies to manage metabolic issues associated with antipsychotic use. However, due to the substantial clinical variation in both mental and metabolic symptoms throughout the course of the patient's illness, the findings in this area remain a subject of debate. In this narrative review, we offer a comprehensive examination of both classical and contemporary literature on metabolic concerns related to schizophrenia, focusing on the propensity of several antipsychotics to promote weight gain.
Central Bank Digital Currency Development, Challenges and Future Recommendations in Global Countries
Authors: Zhang Yilun
Published: January 2024

The introduction of Central Bank Digital Currency (CBDC) is an inevitable trend in the context of the deepening of digital finance. In recent years, the innovation of financial technology has received the attention of various countries, and many new tools have appeared in the field of payment and settlement of medium of exchange, and the use of cash in many countries has shown a clear trend of reduction. As the impact of the development of the digital economy gradually strengthens, central banks have begun to explore the feasibility and necessity of CBDC issuance. This paper provides a literature review of the current status of CBDC development in each major country in the world, so as to analyse and derive an analysis of the problems and challenges in the development of global CBDC, and ultimately give suggestions for the future development of CBDC.
Comparative Study of Multi-Objective and Single-Objective Optimisation of Colour Matching for Opaque Products
Authors: Qian Jiayuan , Li Haitao , Li Tianjian
Published: January 2024

Opaque products usually refer to all types of products with opaque packaging. In order to improve the market competitiveness of opaque products, it is crucial to determine the optimal colour scheme for the products. In this paper, we study the colour matching scheme for opaque products, taking different concentrations of red, yellow and blue dye as the research variables, taking the minimum chromatic aberration, the lowest cost, and the type of dye as the objective function, establishing the mathematical model of the optimal colour matching scheme, adopting the single-objective particle swarm algorithm and multi-objective hierarchical sequential method respectively, and using specific examples to carry out a comparative analysis to check the two methods. The results show that the single-objective method can provide the colour matching scheme with the minimum chromatic aberration from the ideal colour, and the multi-objective method can consider the cost and price of dyes as well as the types of dyes to provide a more scientific colour matching scheme. The computational results also verify the validity of the model and show that the model can provide decision-making and support for colour matching schemes for opaque products.
Medium-Term Forecast of Metro based on Big Traffic Data
Authors: Ma Xiaoyu
Published: January 2024

With the rise of industrialization and automation, the demand for transportation has been continuously increasing. The demands for quick and effective travel can no longer be met by conventional transportation techniques. In the field of transportation, urban train travel is significant. At the same time, passenger flow prediction has become increasingly important. In addition to short-term forecasts, medium-term forecasts of daily intervals of passenger flow are also essential. This research employs the ARIMA model to forecast medium-term passenger flow, utilizing subway passenger flow data collected in Chengdu City from April 29th to September 28th, 2019. Based on the data and methodology, this study investigates the feasibility of using the ARIMA model for medium-term subway passenger flow prediction. The research findings indicate that the model exhibits strong seasonality, with an ADF unit root test p-value less than 0.05 and an LB statistic test p-value less than 0.05. The Mean Percentage Error is only -1.03%. Furthermore, there is a strong concordance between the fluctuation patterns observed in the actual and predicted values of the model, which closely align with the trends observed in the training dataset. Through this research, it is concluded that the ARIMA model performs well in medium-term subway passenger flow prediction.
Analysis of Luckin Company Based on DuPont Analysis Framework
Authors: Huang Beiyang
Published: January 2024

This article conducts a comprehensive analysis of Luckin Coffee Company based on the DuPont analysis framework. The DuPont Analytical Framework is a method of measuring a company's performance and financial health by correlating four key indicators: net sales margin, total asset turnover, equity multiplier, and return on equity to assess a company's profitability and debt servicing ability. This article first introduces the industry overview and Luckin company overview. Next, the financial status and profitability of Luckin Coffee were analyzed through the four key indicators of the DuPont analysis framework. Then, combined with actual data, a specific analysis of factors affecting profitability and business strategies of Luckin Coffee Company was conducted. Finally, through the research of this article, it is found that Luckin Coffee Company has achieved good performance in terms of net sales profit margin and return on equity in 2022, but there is still room for improvement in capital structure. It is recommended that Luckin Coffee Company pays attention to market competition, industry development trends, business strategies, management capabilities and financial management to help Luckin Coffee increase profitability and improve financial status.
Measures Contributing to the Prevention of Hamstring Strain in Sprinters
Authors: Niu Junlin
Published: January 2024

One of the most typical injuries among sportsmen is hamstring injury. Extreme muscle stretching or high-speed running activities make athletes more vulnerable to hamstring injuries. Especially for sprinters, hamstring injuries rank among the most frequent in sports and cause a large amount cost of time. Despite its frequency, it is still unclear how hamstring injuries occur. It is crucial to keep sprinters injury-free because they also have a high rate of re-injury, which makes it difficult for athletes to heal entirely from injuries. It is important to use a variety of techniques to help athletes avoid hamstring injuries if they want to prevent sprinters from suffering them. This article is a review of the essays focus on methods to prevent hamstring injuries, which aims to provide scientific and comprehensive methods to instruct athletes and coaches to better deal with hamstring injuries.
The Mechanism of The Arithmetic Logic Unit
Authors: Liu Yuguo , Zhang Chenyang , Zhang Haoyi
Published: January 2024

The Arithmetic Logic Unit is widely used in electrical components nowadays such as the CPU in computers. The traditional research is based on the theory of a combination of multiple logic units, the results are not performed intuitional. This paper provides an introduction to the Arithmetic Logic Unit and its mechanisms, which consist of multiple logic gates to perform binary operations and send commands to the computer. The article discusses binary operations using logic gates, starting from the simplest one-bit half-adder to the more complex four-bit ALU, encompassing functions like addition, subtraction, division, and multiplication. The simulation module is used to justify the mechanism of the ALU. This research provides a new method in the process of developing the ALU, may largely increases the productivity. The approach may be used in the research and development of computer performance, providing visual, instant feedback and reducing the cost.
Short-Term Forecasting of Pork Price Based on The ARIMA Model
Authors: Du Zhuolin
Published: January 2024

China's large population requires a large and diverse amount of food, of which pork is one of the important agricultural products related to the national economy and people's livelihood. Based on the pork price data from 2010 to July 2023, this paper adopts the ARIMA time series model to forecast the pork price in the short term from August 2023 to February 2024 in order to provide a powerful reference for the macroeconomic management of the country. After testing, the ARIMA model has a certain guiding and reference value for predicting the high and low pork prices in the short term, which can provide a decision-making basis for the macroeconomic management of the country.
Analysis of Sino US Economic Development Based on the Russia-Ukraine Conflict
Authors: Wang Mingyuan
Published: January 2024

Since the Russia-Ukraine conflict escalated in 2022, signs of peace have not yet emerged. The economic recovery in the post epidemic era has become complicated due to the emergence of the Russia-Ukraine conflict. As the two most important economies in the world today, studying the economic trends of China and the United States can reveal the development trends of the world economy. This article mainly uses a series of data from the World Bank on the economy of China and the United States to analyze the economic changes in the two countries, and identifies some substantive issues through comparison and provides opinions. Research has found that China is more affected by economic shocks compared to the United States, which is similar to the situation in the vast majority of countries in the world. The research in this article roughly analyzes the forms of the two countries and provides some guidance for future economic construction.
A Study of Executive Compensation Incentives and Firm Performance
Authors: Pei Jingya
Published: January 2024

Proper executive incentives alleviate agency conflict and improve firm performance. This study examined the pertinent literature on the recent study of executive compensation incentives and company performance. Through the literature analysis method, the last five years of relevant literatures were classified according to monetary pay incentives, equity pay incentives and pay gap incentives. This paper summarized the common conclusions that were obtained from the current researches and discussed some deficiencies of current researches. At the same time, this paper also put forward suggestions on sample selection, research methodology and other shortcomings in the current researches. By analyzing and integrating the literature from 2018 to 2023, it helps company owners to improve company performance starting from executive compensation incentives in the corporate governance process. At the same time, this paper will provide an outlook on the possible directions of future related research and provide new ideas for future research.
New Possibilities for Cancer Immunotherapy Discovered Through Cancer Vaccines
Authors: Lin Jihan
Published: January 2024

Cancer vaccine, a type of cancer immunotherapy, works by enhancing the identification and eradicating antigens, preventing cancer recurrence and stopping the growth or spread of tumors function. Because cancer vaccines are highly specific and therapeutically effective in preventing and treating cancer, it is gradually becoming the mainstay of cancer immunotherapy. First, some malignancies have relatively poor immunotherapy response rates, thus it's important to talk about ways to boost reactive T cell activity. In addition, how to combine cancer vaccines with other immunotherapies will be a challenge for cancer immunotherapy. In addition, how to apply adjuvants as well as novel materials as cancer vaccine delivery agents will also be the focus of subsequent cancer vaccine research. Currently, scientists aspire to use adjuvants to enhance the immunization effect of cancer vaccines and reduce their cost. This essay will concentrate on the cancer vaccine's mode of action, classification, benefits, and drawbacks, as well as its issues and possible uses. It will also offer suggestions for future cancer vaccine research and development.
The Categories and Application of PCE Superplasticizers in Concrete
Authors: Li Xinyi
Published: January 2024

Polycarboxylate ether superplasticizers (PCEs) are water reducers in the concrete mix that play a significant function in aspects of reducing the water-to-cement ratio, improving impermeability,  increasing compressing strength, and meditating the shrinkage. This paper introduces the characteristics of PCEs, discusses the application, advantages, and disadvantages of concrete, and puts forward some measures. The mechanism of PCEs is the dispersion function of the molecular structure and the neutralization. Currently, PCEs are updated from one generation to another, conventional PCEs mainly include methacrylate ester, isoprenol ethe, and methallyl ether-PCEs. Another two major types of PECs are vinyl ether-based and calcium silicate hydrates PCEs, respectively. The application of PCEs revolutes novel types of concrete, such as ultra-high performance concrete and self-compacting concrete. When applying PCEs, retardation has to be considered. Meanwhile, another drawback of PCEs is that they can hardly work with other admixtures. A novel type that is considered clay properties can be another research field.
Ph-Responsive Drug Delivery System Based on Polymeric Prodrug for Efficient Antitumor Therapy
Authors: Nie Rui
Published: January 2024

Ph-responsive micellar nanoparticles in nuclear endosomes were prepared by self-assembling amphiphilic poly (ethylene glycol)-Schiff-doxorubicin (PEG-Schiff-DOX, PSD)  predrugs. Self-assembly of an amphiphilic poly (ethylene glycol)-Schiff-doxorubicin (PEG-Schiff-DOX, PSD) prodrug was adopted to prepare endosomal pH-responsive micellar nanoparticles, and the encapsulation of free DOX could be made in the hydrophobic core of the nanoparticles by Schiff base bond. These nanoparticles showed great storage steadiness for above 1 week under normal circumstances but disassembled rapidly to answer faintly acidic environment. Thus, we are able to obtain a simple nano-polymer prodrug material that enables efficient and accurate delivery of tumor drugs and can maintain stability in neutral environments and rapidly degrade in the acidic context of tumor cells. In addition, it benefits from the good stability of PSD with high drug loading concentration and long drug release behavior. According to CCK-8 assays, the nanoparticle showed great antitumor activity over free DOX against HeLa tumor cells. These prodrug-based nanomedicines show excellent potential for the development of translational DOX formulations for cancer therapy.
Research on the Portfolio of Chinese Photovoltaic Enterprises
Authors: Hu Yiheng
Published: January 2024

Two models to reduce potential risks in photovoltaic enterprises are introduced in this paper to demonstrate the problem that the price of silicon is dropping sharply today. Based on the portfolio theories, the first model is created by the use of Mean-variance model which is traditional and functional. As an improvement, the second model, the Mean-semivariance model takes not only the financial marketing risks but also the background risks into consideration. The data is collected by iFind from three different enterprises. Despite having a large production scale, each enterprise is separated from each other. The calculations indicate that the paper contains a figure that contains the weights of two stocks from two different enterprises. The figure displays the distinction between the effective and inefficient portfolios. Among the efficient portfolios, some of them own a high level of Sharpe ratio while having a low level of deviation, indicating that upstream industries could invest in both upstream industries, and midstream industries in order to weaken the risks brought by the price drop of silicon. This paper will assist investors in making better investment decisions using portfolio theories.
Unveiling The Unconventional Superconductivity Via Cuprates and Twisted Bilayer Graphene
Authors: Chen Sheng
Published: January 2024

Since the twentieth century, the exploration of superconducting material, a type of material that exhibits zero electrical resistance, has remained a paramount topic of inquiry within the scientific community seeing its excellent potential in bringing dramatical improvement to the material science and electric power and high-field magnet technology. However, earliest materials with superconducting aptitude requires extreme condition for critical temperature: It needs a temperature close to 0K, which is hard for application. This severe technical issue then led to an exploration to materials with higher temperature to reveal superconductivity. With decades of efforts, despite there are still arguments in working principle, new material like cooper oxide and iron-based material were found to have critical temperature higher than the limit predicted by Bardeen–Cooper–Schrieffer theory. However, recent experiment and accompanying working principle for the superconductivity of twisted layer graphene may suggest that it has greater potential in high temperature superconducting, due to its tunable property and relatively simpler working mechanism.
Research on optimal cutting scheme based on three-stage guillotine cut
Authors: Bao Wenjun , Liu Yifei , Li Yanfu
Published: January 2024

Smart manufacturing has become a major part of the core competitiveness of enterprises, and better scheduling optimization methods are obtained in order to reduce the material loss in the manufacturing process. In this paper, we construct a mixed integer programming model, iterate from local optimum to global optimum by genetic algorithm, and finally solve the question B of the 2022 China Graduate Student Mathematical Modeling Competition. We get the results that the utilization rate of each scheduling solution is higher than 90%, which shows the effectiveness of the model and algorithm, and can greatly improve the utilization rate of plates.
CAR-T Cell Therapy Targeted Non-Hodgkin's Lymphoma: Clinical Development and Challenge
Authors: Wu Tian
Published: January 2024

Non-Hodgkin's lymphoma incidence has been rising worldwide in last few years. And the dismal prognosis following treatment to cure relapsed or resistant T-cell lymphoma and B-cell malignancies. Today, this therapy has already achieved incredible results with the field of non-Hodgkin's lymphoma. It becomes a new pillar in the treatment of cancer and shows great promise. Recently, there have been a number of new clinical studies and technology discoveries that have led to significant clinical responses to this therapy in certain subpopulations of Non-Hodgkin's Lymphoma. However, there are still many structural and functional challenges that limit the therapeutic efficacy of this therapy. Therefore, new strategies and ideas are needed to overcome the current challenges. The most recent developments and clinical trial findings on this therapy's effectiveness in treating NHL are covered in this review, as well as discussing the limitations of this therapy and the current solutions and strategies to address them.
Research on the Application of Architectural Design in the Field of Sustainable Development: The Case of Building Materials
Authors: Wang Xiaotong
Published: January 2024

Due to the progress of industry and construction in recent years, more and more buildings are being constructed. The emissions emitted in the process of building construction have led to the intensification of the global greenhouse effect and other climate disasters, and human beings have begun to focus on the strategy of sustainable development, in which the emergence of green building materials in the construction industry is an important manifestation of sustainable development. This paper takes sustainable development as the theme to find the sustainable development strategy in the field of construction, taking green building materials as an example, by reading a lot of literature to choose different kinds of green building materials, which include green concrete, environmental glass, and environmental paving, and then study and analyze their production process and advantages. In building construction, a large number of green building materials will reduce the emission of pollutant gases, to achieve the effect of energy saving and emission reduction.
Analysis of Urban Rail Transit Short-term Passenger Flow Forecast and Its Optimization
Authors: Bai Ruxue , Ren Zhongrui , Tang Xiongjie
Published: January 2024

With the growth of urban population and the increase of car ownership, the number of cars continues to increase, leading to traffic congestion becoming a major problem in many cities around the world. Traffic congestion not only wastes time, but also increases air pollution and energy consumption. To address these challenges, governments and transportation authorities around the world have begun to adopt advanced technical models and big data based approaches. By using the power of intelligent data analysis, this paper enables people to understand rail transit more deeply, establish an ARIMA model for short-term prediction, optimize traffic flow, and improve the overall performance of the system. Through the final experimental results, it is found that the trend of rail transit passenger volume in the next few days is increasing, but its growth trend is not as high as that of the previous few days. The ARIMA model infers that the peak period in the next few days may not be as high as that of the previous few days.
Research on Optimization Design Based on Heliostat Field
Authors: Zhang Zijian
Published: January 2024

This study aims to deeply explore the mathematical modeling and performance optimization of solar heliostat fields, in order to improve their energy output efficiency. The solar heliostat field is an innovative solar heating system that focuses solar radiation on the absorption tower through a reflector, thereby generating high-temperature heat energy. This article mainly discusses the performance analysis and parameter optimization of the heliostat field to achieve optimal performance while meeting the rated power requirements. A simulated solar model was established using a three-dimensional Cartesian coordinate system, taking into account the effects of solar altitude angle and direct normal irradiance (DNI). The model in this paper comprehensively considers the effects of shadow occlusion loss, cosine efficiency, atmospheric transmittance, collector truncation efficiency, and mirror reflectance on the mirror field. The specific values of each parameter were calculated using model algorithms such as the HFLCAL model, To provide a basis for accurate performance analysis and solve the problem of parameter optimization, this article defines an objective function aimed at improving the energy utilization efficiency of the heliostat field by adjusting the parameters of the reflector, in order to achieve optimal performance. The above parameters are determined by establishing a genetic algorithm to define constants and initial parameters, and initializing the overall layout of the heliostat field to calculate the optical efficiency of the heliostat. In each iteration, the optimal heliostat field layout can be recorded. The final optimal solution includes parameters such as the position coordinates of the absorption tower, heliostat size, installation height, number of heliostats, and heliostat position.
The Exploration of Modelling for The Student Achievement Predictor
Authors: Gai Chengyang
Published: January 2024

The project is rooted in the analysis of historical student data. It encompasses a comprehensive approach involving data observation, meticulous analysis, thorough comparison, systematic processing, and efficient coding techniques. The ultimate goal is to harness the power of machine learning to predict students' academic achievements and discern the key features that exert the most significant influence on their learning outcomes. In terms of the machine learning model, this study explored and assessed several machine learning algorithms, including but not limited to the K-Neighbors Classifier, Logistic Regression, and Decision Tree Classifier. These models are scrutinized and fine-tuned to ensure their suitability for the task at hand. Furthermore, a pivotal aspect of this project is identifying the features that wield the greatest impact on students' learning achievements. By employing feature selection techniques, this study aims to uncover the critical factors that can make a difference in educational outcomes. This information can guide educational institutions in designing targeted interventions to support student success. The experimental results obtained from this study demonstrated the effectiveness of the employed machine learning methods.
The Development and Strategy Analysis of Huayi Brothers
Authors: Xie Ziyan
Published: January 2024

Huayi Brothers Media Co., LTD., once known as the "first stock of Chinese film and television entertainment", has been mired in continuous financial losses since 2018. According to the financial statements of Huayi Brothers in 2021 and the semi-annual financial statements in 2022, Huayi Brothers has been in a state of loss in profit, and there are major flaws in its main business planning. The company had ideas and actions to save the market but to no avail. This article starts with the financial report of Huayi Brothers and discusses the problems exposed in its development. It can clarify the current difficulties faced by the Chinese film industry and list film and television companies and propose appropriate solutions to help the further development of the Chinese film industry and also provide other Film and television companies sounded the alarm.
Application and Comparison of Index Model and Markowitz Model in American Stock Market
Authors: Zhang Xiaoyan
Published: January 2024

Developing a robust stock market portfolio is a critical endeavor, necessitating strategic methodologies supported by quantitative analysis. This abstract outlines a study focused on constructing an optimal portfolio comprising 12 diverse stocks and SPX, operating under five pragmatic constraints. Both the Markowitz and Index models are employed to analyze and optimize the portfolio. With powerful tools in Python, the outcome of those thirteen-asset allocations is easily revealed, and by comparison between the two models, similarities and differences are concluded in charts and figures. The major conclusion is that MM and IM can reach a similar Sharpe ratio even though the allocations of different assets are very different in the American Stock Market. Besides, compared with the Markowitz model, the Index model is easier to calculate, which may be helpful when the assets in the portfolio increase. Under five constraints, different portfolio presents different Sharpe ratio and Standard deviation, and thus the outcomes may vary as the constraint changes.
The Tumor Microenvironment and Clinical Implications of Radiotherapy and Immunotherapy for Liver Metastases from Non-Small Cell Lung Cancer (NSCLC)
Authors: Zhang Wenwen
Published: January 2024

Immunotherapy emergence has triggered a profound change in the approach to treating advanced non-small cell lung cancer (NSCLC). However, challenges arise when tumors metastasize to critical sites such as the brain, bones, and liver, impeding the efficacy of immunotherapeutic interventions. Particularly, liver metastases exhibit a considerably unfavorable prognosis in comparison to other metastatic sites, owing in part to the prevailing immunosuppressive microenvironment within the liver that hampers immune-based therapies. Hence, it is imperative to investigate novel strategies that can bolster immune responses and prolong the survival of individuals with liver metastases (LM). Radiotherapy (RT) stands out as a primary modality in cancer treatment. Preclinical studies have revealed its capability to reshape the tumor microenvironment (TME), shifting it from an immunosuppressive setting to one that promotes immune activity. This transformative mechanism holds the promise of amplifying the effectiveness of immune-based treatments. This article will discuss the mechanisms by which radiotherapy improves the immunosuppressive microenvironment in the liver, provide a comprehensive review of the research progress on the combined application of RT and immunotherapy for LM, and offer insights into the establishment of novel therapeutic strategies for patients with LM.
Design of auxiliary viewing mirror for filter centering drum in GD121-AF12 filter assembler
Authors: He Chengjian , Lv Xiaobo , Zhang Hao , Zhu Xingjian , Zhang Shuangjun
Published: January 2024

In order to solve the problem of observation blind area on the outer end face of the cigarette groove of the filter centering drum on the GD121—AF12 filter assembler, an auxiliary observation mirror was designed and installed on the inner wall nearby. According to the light reflection law, according to the space position the central position of the mirror , design the mirror surface support parts refer to the available screw holes on the mirror surface center and inner wall, and calculate the relative position and deflection angle of the support parts. Based on the above data, support parts are designed with Pro/E, and parts are made with 3D printer. After the improved equipment is blocked, the manual cleaning time is reduced to 3.2min/time, and the maintenance time is reduced by 67%, which effectively reduces the labor intensity of operators and improves the equipment efficiency.
The Neglected Class in the Developed Countries - Inequality in Economic Globalization
Authors: Fung Cho Mau
Published: January 2024

In the modern world, economic globalization has a big influence on the environment, economy, and society at large. Although it has significantly increased global development and decreased worldwide inequality, it has also presented serious difficulties, mainly with regard to the uneven distribution of income and advantages among people in developed countries. This article investigates the extent to which economic globalization affects local stability and political shifts in the United States, focusing on the disappearance of middle-skill jobs, the rise of populism, and the fallen of the American dream. The study employs a comprehensive literature review of existing research, theoretical frameworks, and empirical studies to navigate the complexity of the topic. Economic globalization has exacerbated income inequality, particularly in the United States, leading to the disappearance of middle-skill jobs, industrial sector decline, job outsourcing, and wage disparities. The belief that economic globalization denies people economic opportunities and exacerbates inequality is a contributory factor to the rise of populism in the nation. While economic globalization has increased average incomes worldwide, it has also widened the gap between rich and poor within developed countries. Governments should focus on equitable distribution of benefits, invest in education and social reforms, and enhance communities' ability to adapt to globalization, ultimately striving for fair and stable societies that align with the goals of global prosperity.