bluuebunny/crossref_metadata_2025 huggingface dataset:
Party Organization Participation in Governance, Executive On-the-job Spending, and Corporate Innovation Performance
Authors: Yuan Yuxue
Published: January 2024

The organic embedding of party organizations in the corporate governance system through two-way entry and cross-appointment is where the institutional strength of Chinese enterprises lies and is a crucial element of corporate governance modernization. To clarify the specific impact of party organization participation in governance on the transformation of technological achievements, the article examines the impact of party organization participation in governance on the innovation level of enterprises and its mechanism of action based on the data of A-share listed companies in China from 2013 to 2021. This study found that: (1) the decision-making of managers with the attributes of "economic man" and "political man" has a positive effect on corporate innovation; (2) the on-the-job consumption of executives inhibits the driving effect of party organization participation in governance on innovation; (3) the effect of party organization participation in governance on innovation level is more evident in low media attention and non-high-tech enterprises. The findings enrich the study of party organization participation in governance and provide a theoretical basis and empirical reference for the transformation of enterprises to achieve high-quality development.
Research on Coupling Mechanism between Digital Inclusive Finance and Scientific and Technological Innovation: Spatiotemporal Characteristics and its Driving Factors
Authors: Li Zhangyu
Published: January 2024

Based on the coupling and coordinated development mechanism of digital inclusive finance and scientific and technological innovation, the evaluation indexes for digital inclusive finance and scientific and technological innovation are constructed respectively. Besides, the coupling and coordinated development relationship and their driving factors in 30 provinces and cities from 2011 to 2021 are studied by using the evaluation model via the entropy weight method, coupling and coordination model, and two-way fixed effect model. The results are as follows. 1) Obvious regional differences exist in the coupling coordination between digital inclusive finance and scientific and technological innovation in China, which is high in the east and the south but low in the west and the north, although such differences are decreasing year by year .2) Using the two-way fixed effect model shows that the development of foreign trade, human capital, financial support, and other factors have a high correlation with the coupling and coordinated development of digital inclusive finance and science and technology innovation system. Premised on the existing research, this paper further analyzes the coupling and coordination of digital inclusive finance and scientific and technological innovation in various provinces of China at present, including time and space dimensions, which provides practical strategic guidance for the government to promote the coordinated development of them, leaving profound lessons for improving the national science, technology, and finance.
Study on the Impact of Government Subsidies on the Level of Corporate Cash Dividend Payments based on a Different Perspective
Authors: Wu Yifan
Published: January 2024

At this stage, China has entered a "new normal" period of economic development in which the government plays a key role in macro-control policies and resource allocation. The level of cash dividend payment is both a guarantee for enterprises to return the rights and interests earned from consumers' investment and to signal to the market that the enterprise is operating well, and a requirement to alleviate the enterprise agency problem and help the capital market operations in an orderly manner. By paying cash dividends, enterprises improve people's livelihood and achieve social equity by sounding the income distribution mechanism. In this paper, a-share listed enterprises from 2016 to 2020 were taken as the research object, the level of cash dividend payment as the explanatory variable, the government subsidy as the explanatory variable, and 9 control variables and 2 virtual variables were selected for probit regression analysis. The results show that government subsidies have a significant effect on the level of cash dividend payment, and there are significant differences in the degree of effect among different types of enterprises, and hypotheses 1 and 2 proposed in this paper are verified.
The Transmissive Effect of the Federal Reserve's Interest Rate Hike on China's Government Bond Yields in the Context of the COVID-19 Pandemic
Authors: Wen Zhiruo
Published: January 2024

The global economy underwent profound shifts due to the COVID-19 pandemic, bringing monetary policies of major economies, such as the U.S., to the forefront. As the U.S. Federal Reserve's decisions can resonate globally, understanding their ramifications on China's bond market post-COVID-19 becomes paramount. This research delves into the ripple effects of U.S. monetary policy on China's bond market dynamics. Utilizing a mixed methodology, the study incorporates both quantitative and qualitative analyses based on financial records and historical data. Preliminary findings highlight the U.S.'s aggressive monetary responses during the pandemic, and how China's bond market, with high yields, presents a competitive return. Additionally, China's swift economic recovery and robust export figures reinforce its financial resilience. The study further examines the transmission effect of the U.S. Federal Reserve's interest rate policies on China's government bond yields. Ultimately, the research aims to offer comprehensive insights to navigate future economic landscapes in light of global challenges and monetary policies.
A Comparative Analysis of Synchronous USART And Asynchronous UART Communication Protocols
Authors: Dong Meiting
Published: January 2024

In contemporary applications, the integration of the STM32F103ZET6 microcontroller with various peripherals is indispensable, emphasizing the critical role of serial communication in data transmission between the microcontroller and these peripherals. This study delineates the distinctions between Universal Synchronous Asynchronous Receiver-Transmitter (USART) and Universal Asynchronous Receiver-Transmitter (UART) within the context of USART synchronous communication. The superiority of USART is underscored by its utilization of a uniform clock and identical baud rate for simultaneous and synchronous transmission, enhancing data transfer efficiency significantly. This methodology facilitates the transmission of larger data quantities concurrently and mitigates data loss during prolonged transmission, a prevalent issue in UART asynchronous communication. Additionally, USART preserves essential functionalities such as the detection of data boundaries, automatically discerning the initiation and termination of individual data frames, which guarantees the uninterrupted reception and transmission of data. This analysis is pivotal for professionals seeking optimized communication protocols in microcontroller-based systems.

In contemporary applications, the integration of the STM32F103ZET6 microcontroller with various peripherals is indispensable, emphasizing the critical role of serial communication in data transmission between the microcontroller and these peripherals. This study delineates the distinctions between Universal Synchronous Asynchronous Receiver-Transmitter (USART) and Universal Asynchronous Receiver-Transmitter (UART) within the context of USART synchronous communication. The superiority of USART is underscored by its utilization of a uniform clock and identical baud rate for simultaneous and synchronous transmission, enhancing data transfer efficiency significantly. This methodology facilitates the transmission of larger data quantities concurrently and mitigates data loss during prolonged transmission, a prevalent issue in UART asynchronous communication. Additionally, USART preserves essential functionalities such as the detection of data boundaries, automatically discerning the initiation and termination of individual data frames, which guarantees the uninterrupted reception and transmission of data. This analysis is pivotal for professionals seeking optimized communication protocols in microcontroller-based systems.
Addressing the Optimization Techniques for Future Smart City Planning Aligned with the Requirements of Individuals with Disabilities
Authors: Zhang Shiwan
Published: January 2024

This article provides an overview of ideal concepts for future smart city development that are centered on the requirements of disabled people. The research's goal was to look at the existing state of smart city development in regard to the requirements of handicapped people and make recommendations for improvement. The study investigates existing concepts and frameworks for urban design that stress accessibility for the disabled, as well as theoretical and normative elements of handicapped individuals and urban planning. An investigation of the situation revealed various flaws in present legislation, and the ideas section proposes solutions to these flaws. The proposals are backed up by relevant research, underlining the necessity of taking into account the requirements of disabled people in smart city development. Cities may develop more inclusive and accessible settings that accommodate to the different needs of all inhabitants, including handicapped persons, by implementing these recommendations. As urban development’s affect the impaired population's everyday life, it is critical to stay positive and hopeful about the future development of disabled persons in major cities.
The Road of Banking Innovation and Development: Taking Shenzhen Qianhai We Bank as an Example
Authors: Yang Shuai
Published: January 2024

With the continuous evolution and reform of the financial market, private banks, as a new type of financial institution, have increased the diversity of the financial system. To better meet the needs of customers, private banks have expanded innovative business models and technology applications, promoted the competitiveness of the financial market, and improved the efficiency of financial services. This article concentrates on the operation pattern of Shenzhen Qianhai WeBank and uses the SWOT analysis method to analyze the advantages, disadvantages, challenges, and opportunities in its operation process, also finds out the differences between traditional banks and emerging Webanks and puts forward suggestions for bank operation mode. Shenzhen Qianhai WeBank is currently the leader of Internet banks in China, and it also ranks first among private banks in terms of its asset scale and the number of customer groups. The study of Shenzhen Qianhai WeBank bank can shed light on the innovative operating model for banks from its powerful Internet technology gene, excellent financial linkability, and diversified ecological cooperation.
Research on Accuracy Enhancement Scheme for Home 3D Printers Based on Vision Sensors
Authors: Ye Ziyu
Published: January 2024

Nowadays, with the rapid development of technology, more and more new technologies are being developed, but how to make these technologies accessible to factories at an affordable price and at a cost that is acceptable to all parties is a huge and complex comprehensive research. This paper focuses on two new technologies. They are 3D printers and vision sensors. After discussing how they work and the advantages and disadvantages about them. This paper focuses on how these two new technologies can be combined to improve the quality of 3D printing, increase the compatibility of building complex geometries, and reduce the reliance on manual calibration. Finally, a model for combining these two novel technologies is presented along with its operational logic. However, the challenges of cost, sensor integration and algorithm optimization will be addressed in further development and finally a partial analysis of how it can be further developed in the future.
Analysis of the Influence of Temperature Gradient on the Measurement Accuracy of Axial Force in Balance
Authors: Wang Ben , Yang Xiaoqiang , Li Xiaogang , Wang Biling
Published: January 2024

As a measuring element in wind tunnel test, it is important to ensure the measurement accuracy of strain balance.However, in the continuous wind tunnel, due to the long running time of the wind tunnel and the continuous transformation of Mach number, the temperature distribution of the balance body will be uneven, resulting in temperature gradient.This temperature gradient has an obvious influence on the measurement accuracy of the axial force of the balance.In order to explore the influence of temperature gradient on the axial force and strain output of the balance in the continuous wind tunnel, three temperature loading conditions were summarized according to the actual working conditions, and the thermal-solid coupling analysis of the 80A balance was carried out by ANSYS Workbench.The results show that the higher the temperature of the base point of the temperature gradient is, the faster the temperature input is, the more uneven the temperature distribution of the balance is, and the larger the temperature gradient is, the larger the axial force and strain output is. Considering the heat conduction of the back support rod, the temperature distribution of the balance body is relatively uniform, the temperature gradient is small, and the output of axial force and strain is small.
Structures, Submodule Topologies and Control Strategies for Modular Multilevel Converter
Authors: Chen Jinrong , Lin Wangyang , Yang Lihao
Published: January 2024

Global energy demand is rapidly increasing, and the limitations and disadvantages of traditional energy sources are becoming more evident. Traditional energy sources are finite, and their sustainability is facing significant challenges. Compared to traditional multi-level converters, modular multi-level converters (MMC) adopt a modular design that divides the entire converter system into several independent sub-modules, each responsible for converting specific voltage levels. This article provides an overview of the theoretical aspects, topology structures, basic operation principles, and output characteristics of multi-level converters. This paper reviews the characteristics and application ranges of different topology structures, highlighting the differences in response speed, output quality, and control complexity. This paper also discusses the advantages and limitations of multi-level converters in various application scenarios. Explored the application of multi-level converters in wind power grid integration and electric vehicle charging systems, emphasizing their energy-saving and environmentally friendly features. In conclusion, this paper emphasizes the critical role of multi-level converters in power systems and future energy applications, stressing the importance of their reliability and promising future developments.
Development Trends and Prospects of Semiconductor Devices and Technology
Authors: Qiu Zekun , Shen Xianao , Zhao Zirui
Published: January 2024

Semiconductor devices and technology have undergone remarkable development over the years, driving innovations across various industries. This paper explores the historical background and evolution of semiconductor devices, examining key breakthroughs and trends. It also delves into the current state of semiconductor technology, highlighting artificial intelligence optimization, nanotechnology, liquid biopsy technology, deep learning, and quantum computers. These advancements are reshaping the landscape of semiconductor devices, promising enhanced performance and applications in diverse fields. Moreover, the impact of semiconductor technology is expanding into areas such as healthcare, energy, and beyond, offering new avenues to address global challenges. This paper underscores the significance of semiconductor technology as a cornerstone of modern technology and innovation. From its humble beginnings with the transistor to its current pivotal role in AI, nanotechnology, liquid biopsy, deep learning, and quantum computing, semiconductors continue to be the driving force behind a technological revolution that transcends boundaries and holds immense promise for our collective future.
The Analysis of the Effect of Compensation Strategy on Corporate Performance: An Example from Walmart
Authors: Wu Zhaoyi
Published: January 2024

Using Walmart as a case study, this paper examines the relationship between compensation policies and company performance. Specifically, the paper focuses on how various compensation strategies, ranging from base salary to comprehensive benefits and incentives, affect Walmart's key performance indicators. The study delves into the issue of employee motivation and evaluates various important factors of Walmart's compensation program. The analysis focuses on the impact of various compensation strategies (including wages, benefits, and rewards) on Walmart's performance metrics. By using a variety of methods and combining them with data analysis, the study reveals the deeper role that Walmart's compensation policies have played in making it one of the world's leading retail companies. In addition, the study mentions the correlation between employee satisfaction and long-term business results. The results of the study provide valuable insights for business leaders and policy makers, emphasizing the need to balance employee needs with corporate goals. The results of the study underscore the importance of well-designed compensation policies as a key tool for achieving organizational brilliance and maintaining a competitive advantage.
Conception on Public Health Surveillance System Based on Big Data in Health and Medical Care
Authors: Xin Xinran
Published: January 2024

In recent years, public health events in varying degrees have occurred in different parts of China, these public health emergencies are characterized by volatility and complexity. To effectively respond to major challenges, we must establish a comprehensive public health surveillance system capable of efficiently collecting, analyzing, and processing data, while providing effective and timely information support. This paper focuses on how big data technologies can be used to achieve this goal. The theoretical basis is first introduced, including the definition, characteristics and application methods of big data; then the existing public health surveillance system is analyzed and summarized, its shortcomings are pointed out; finally, a design scheme for a public health monitoring system based on health care big data is proposed, detailing the design ideas, functional modules and database structure of the scheme. The scheme can help the authorities to monitor and manage information in real time so as to provide the basis for scientific-decision making. Through testing and verification, the scheme is found to have good performance and can meet the needs of large-scale public health surveillance. The findings of this project hold significant relevance in advancing the development of the public health surveillance system in China.
Cross-provincial and cross-regional optimization analysis of power auxiliary services for regional power grid construction
Authors: Cai Baorui , Li Zhiyong
Published: January 2024

In order to improve the optimization level of regional power grid ancillary services, a cross-provincial and cross-regional optimization mechanism for power ancillary services is proposed, taking the southern regional power grid as a representative. The construction and development of typical regional power grids at home and abroad are analyzed, and the characteristics of the construction and development process of the southern regional power grid in the cross-province and cross-region scheme are explained. The direction of regional auxiliary service optimization is proposed, and the connection of electric power and electricity at the current stage is analyzed, an optimized operation model is established, proposing an auxiliary service centered on the regional power grid, with the goal of optimizing the connection and operation system, and combined with specific project pilots, an application analysis is carried out.
Research On Supply Chain Based on Medical Informatics and E-Commerce System: Computer Engineering and Algorithm to Prevent Disease
Authors: Wu Fang , Hu Xiangxin , Len Wangcai , Li Liangyu , Qu Xiaowei , Tan Xiao , Guo Lizhong , Qin Yi
Published: January 2024

Based on the impact of Chernobyl nuclear accident and the situation of transmissible viral pneumonia in eastern Europe, the research team proposed an algorithm model for nuclear radiation data collection and disease occurrence prediction with artificial neural network as the core, and proposed a computer model for drug trade in traditional Chinese medicine against transmissible viral pneumonia, which solved the problem of virus monitoring and nuclear radiation detection. Through the construction of network supply chain, An international rescue network model was proposed for nuclear radiation and transmissible viral pneumonia, which solved the problem of shortage of doctors in the Republic of Belarus and realized medical mutual assistance between China and Belarus. The research team trained a neural network using the recovered questionnaire. This neural network has the ability to predict the willingness of people in a certain region to buy anti-tumor drugs. We take this algorithm as part of supply chain optimization.The research team discussed the above model and reported it based on the experimental results.
Analysis of Inflation and Unemployment in China
Authors: Zhang Yining
Published: January 2024

This paper mainly focuses on the analysis of the relationship between inflation and unemployment, their mutual influence, interaction, and transformation. It highlights the importance of carefully handling the relationship between the two factors for sustainable economic development. Based on this understanding, it proposes corresponding measures to address these two problems in light of the current economic situation in China. The paper also provides a summary and conclusion of various research findings both domestically and internationally, with the aim of serving as a reference for China to better navigate economic fluctuations and maintain smooth macroeconomic operations. Amid the current situation of increasing downward pressure on the economy and employment pressure in the labor market, this paper argues that China's rapid economic growth rate, high unemployment rate, and inflation rate are the root causes of the causal relationship between unemployment and inflation. Therefore, in order to effectively prevent the emergence of unemployment and inflation, it is necessary to take effective measures to curb inflation.
Advantages And Applications of Neural Hardware Based on Synapse Structure
Authors: Du Shouhang
Published: January 2024

The increasing demand of computing power serves as a motivation for researchers to develop new types of hardware structures, among which the brain-inspired chip hardware show higher potential on computing power and energy consumption over traditional types. Memristors, which serve as a representative example of them, can allows a certain amount of current to pass safely and "remembers" the previous resistance value of the device after a power failure, which can be used as a perfect similar unit of neurons. Memristor can be manufactured by multiple material, such as various kind of metal oxides and have different of structure, classified by the number of memristors in each structure. However, the synaptic structure also faces great challenge to overcome, such as the uniformity of the capacity of each synaptic unit. In conclusion, memristor-based synapses for computing neural morphology have great potential for multiple applications, which can be perfect apply to the artificial intelligence industry.
Research on investment project evaluation: Comparative analysis based on NPV and IRR
Authors: Liu Mingjun
Published: January 2024

Whether a project is viable, determining whether a project is viable requires some metrics. The indicators that are most frequently utilized are the Net Present Value (NPV) and the internal rate of return (IRR). They are very representative and scientific. The same decision can be made by applying both in independent and non-independent projects When there are many contradictions between NPV and IRR, it is necessary to introduce new indicators to continue to judge the project, such as △IRR, incremental IRR method, modified IRR (MIRR) method, selective IRR method, payback period method, Equivalent Annual Annuity (EAA) method and static analysis method. The investment is selected by comparing the internal rate of return △IRR with the benchmark rate of return (ic) or the social discount rate. The MIRR approach determines the IRR of each scheme, compares it to ic, chooses the scheme that have IRR is larger than or the same as ic, and then determines the incremental IRR of the two neighboring schemes to make the choice. In addition to the investment payback period approach and the selective internal rate of return method. EAA method is in the comparison of investment projects, investors should choose the project with higher EAA when comparing. In the process of investment projects, different enterprises can adopt static analysis method to carry out project investment, but there are two forms of static analysis method, such as payback period method and basic income method. Using reasonable indicators and methods to evaluate the investment project, so as to select the best project.
Current Status and Progress of CAR-T Cell Therapy in the Treatment of Small Cell Lung Cancer
Authors: Wang Xuening
Published: January 2024

Small cell lung cancer (SCLC), which takes possession of about 15% of lung cancers, is closely related to smoking and is more common in older men. It has a high degree of malignancy, rapid growth, early metastasis, low survival rate in five years, and unfavorable prognosis. Current treatments include targeted therapy, chemotherapy and immunotherapy, etc. Among them, immunotherapy has grown in popularity as a new technique these years for treating tumors in the overall setting of SCLC. The chimeric antigen receptor (CAR-T) cell therapy, which has already showed considerable success curing hematological malignancies, has attracted the attention of many scientists. According to the current experimental studies, CD56, DLL3, GD2, CD133/AC133, CDH17 and other CAR-T cell targets have been found. AMG 119, a DLL3-targeted CAR T-cell therapy, has successfully completed phase I clinical trial and demonstrated good efficacy. Because of the limiting factors of CAR-T such as antigen escape, cancer infiltration, CAR-T cell trafficking, immunosuppressive microenvironment and on-target, off-tumor effects, etc. Further research and exploration are still needed in the field of solid tumor application. In order to effectively treat SCLC, there was still a huge progress to be made for CAR-T cell therapy compared to conventional therapy approaches. Further basic research and clinical studies are required.
Hematopoietic Progenitor Kinase 1 Inhibitors
Authors: Yuan Zhe , Pan Zhidan
Published: January 2024

Cancer, a general name for wide range of diseases that have the ability to make an impact on any parts of the human body and has been a fatal health issue that affects people around the world. Hematopoietic Progenitor Kinase 1 (HPK1), one member from the MAP4K family, is a kind of serine/threonine kinase. Destruction of HPK1 kinase raises the secretion of cytokine and T cell signaling, having positive impact on clearance of virus, and inhibition of tumor growth. Thus, HPK1 has been seen as a promising target that can be used in drug development for immunotherapy of tumors. HPK1 has a pivotal role of inhibition on the signaling pathway of the T-cell receptor, it also inhibits the proliferation and differentiation of B cells, DC cells, and NK cells. In this paper, we aimed to supply a detailed overview of research including the introduction of HPK1, research process on HPK1 inhibitors and different methods of developing new kinase inhibitors.
A lab report of the preparation of ibuprofen —— whether it can be made at home
Authors: Ding Yifei
Published: January 2024

The present study investigates the process of making ibuprofen and to verify whether this process can be done at home. The 1-(4-isobutylphenyl)ethan-1-ol(97%) is used as the starting reagent which underwent carbonyl reduction, chloride substitution, and Grignard reaction. And is finally evidenced that the assumption of producing the medicine at home by oneself is not feasible since the apparatus required is not commonly presented at home, the environment needed for the reaction to take place is difficult to achieve and some of the reagents the reaction needs is strictly controlled and unable to be purchased. The study also highlights some of the mistakes and problems met during the experiment process and the corresponding solutions and improvements are given. The process of operating paper chromatography and column chromatography are shown and discussed as well. Moreover, some applications of ibuprofen which are being used today are also mentioned such as reducing fever, relieving pain and diminishing inflammation.
A Brief Analysis of SVOLT's Current Development and Challenges
Authors: Zhao Haijie
Published: January 2024

SVOLT is committed to the research and production of new energy vehicle power batteries. It is an emerging enterprise in the power battery industry. The company also engages in battery and energy storage businesses. With a strategic perspective of global deployment, SVOLT has achieved remarkable growth. This article provides an analysis of SVOLT's development overview and examines the achievements and challenges the company faces in terms of its business areas, financial situation, and strategic layout using case studies and data charts. The research shows that SVOLT has experienced substantial losses for three consecutive years, making it difficult to gain a foothold in the highly competitive market. This situation is related to issues such as the company's low product gross margin, low-capacity utilization, and high management costs. It is also a predicament that arises from intense market competition. Additionally, the company's strategy of large-scale capacity expansion has brought about certain negative consequences. Therefore, SVOLT should consider adjusting its marketing approach, focusing on profit and loss conditions, reducing capacity expansion appropriately, and controlling production costs. The aim is to promptly reverse the trend of continuous losses, achieve sustainable development, gain industry recognition, and challenge leading companies in the field.
Analysis the Principle of AI Chip Principle and the State-of-art Applications
Authors: Li Derun
Published: January 2024

In recent years, AI chips are widely used in advance IC manufacturing. On this basis, this study provides an in-depth analysis of the principles and state-of-the-art applications of AI chips. This research first briefly introduces the history of artificial intelligence and the emergence of artificial intelligence chips as specialized hardware components aimed at effectively performing complex calculations required for artificial intelligence tasks. The article then delves into the basic definition and description of AI chips, the differences between AI chips and ordinary chips, the architecture and manufacturing process of AI chips, application scenarios and results, and the limitations of current AI chips. At the same time, the study also emphasizes the impact of artificial intelligence chips on the field of artificial intelligence research and their potential to shape the future of computing. Overall, the result of the study is a valuable resource for anyone interested in understanding the principles and applications of AI chips.
Analyzing the Challenges in Aged Care in China
Authors: Qiao Weiyin
Published: January 2024

China, an economic powerhouse with a population of nearly 1.4 billion, has a significant elderly population. According to China's seventh population census (as of 2022), the number of people aged 65 and above in China has reached 190 million, accounting for 13.5 percent of the total population. This represents an increase of 4.9 percentage points compared to 2020. China's per capita GDP is 10,500 US dollars, compared with other countries with the same level of aging, such as Malaysia and Turkey, their per capita GDP is much higher than China, which highlights that China's society is facing the problem of "getting old before getting rich". Therefore, in view of these challenges, this paper starts with various kinds of pension problems existing in Chinese society in recent years. To analyze the present situation, problems and challenges of the old society in our country and the future development trend. At the same time, this paper puts forward suggestions on the development of China's elderly care industry from the aspects of talent training, standard construction and international cooperation.
The Basic Concept and Application Status of Laser Induced Forward Transfer
Authors: Gu Xizhou
Published: January 2024

Laser Induced Forward Transfer (LIFT) is a new type of transfer method. It uses high-energy laser as an energy source to irradiate solid or liquid materials, allowing them to be emitted onto the receiving substrate under the force of steam to achieve the transfer of material. Nowadays, although most of the work on LIFT is still in the laboratory stage, compared to the traditional process of LIFT, its nozzle free characteristics, pixel-based transfer method, make it have high production efficiency, universality of materials, and compatibility with Computer numerical control (CNC) machine tools. In this review, the fundamental principle of LIFT is introduced and the great potential of LIFT in many fields is presented and analyzed, including Three-dimensional (3D) bioprinting, industrial manufacturing, energy storage material manufacturing, new-type energy and so on. The conclusion is that if the application of LIFT in the manufacturing field can be achieved, the efficiency and flexibility of modern digital production will be greatly improved. The LIFT method has great development prospects in the manufacturing field.
SGLT2 Inhibitor And GLP-1 Receptor Agonist in Type 2 Diabetes Mellitus Patients. Research on Their Cardiovascular Benefits
Authors: He Leicheng
Published: January 2024

The health of people is now seriously threatened by diabetes. Type 2 diabetes mellitus’ patients are prone to microvascular diseases, which is a cardiovascular disease risk factor. In T2DM patients, it has been demonstrated that sodium-glucose co-transporters (SGLT2) inhibitors have positive cardiovascular effects, glucagon like peptide 1 (GLP-1) receptor agonist also exhibited similar effect on cardiovascular.  In recent, noteworthy trials, GLP-1RAs and SGLT-2Is have demonstrated effective cardiac protection and safety in high-risk T2DM patients, which is a new force in T2DM drug therapy.
Design of Micro Search-and-Rescue Robot System and Analysis of Its Application in Disaster Rescue
Authors: Chen Keyu , Tian Fengye
Published: January 2024

In recent years, many major natural disasters have occurred in the world, and among these major natural disasters, earthquakes are the most destructive. In the post-earthquake disaster areas, there are many ruins, which will reduce the efficiency of search and rescue and increase the risk of search and rescue. Some of the ruins were inaccessible to people, and it was difficult for search-and-rescue personnel to determine whether there were survivors. In order to improve the efficiency of search and rescue, reduce the risk of search and rescue, and reduce the investment of search-and-rescue personnel, micro search-and-rescue robots are designed. A variety of sensors are installed on the micro search-and-rescue robot for efficient search and rescue, a communication system is installed for data transmission, and a motor system is installed to overcome obstacles. This paper also discusses possible problems and proposes corresponding solutions. However, limited by existing technologies, some problems cannot be completely solved. In the future, the investment of micro search-and-rescue robots will save more lives.
Leakage Current Analysis of Non-Isolated Photovoltaic Grid-Connected System
Authors: Tang Haotian
Published: January 2024

Amidst mounting concerns over energy scarcity and the environmental repercussions of fossil fuels, renewable sources, spearheaded by solar energy, have garnered substantial societal attention, thereby propelling advancements in photovoltaics (PVs). In the realm of grid-connected (GC) PV systems, a pressing issue is the leakage current suppression in non-isolated GC PV inverters. As a ubiquitous architecture in PV systems, the non-isolated GC configuration is of paramount importance in practical applications. Yet, intrinsic attributes of PV systems have amplified the leakage current challenge within this setup. This paper endeavors to dissect the leakage currents in non-isolated PV GC systems, delving into the salient factors influencing them. It embarks on an exploration of the origins of leakage currents, subsequently analyzing the repercussions of LC filter parameters—spanning filter capacitance, Y capacitance, and common-mode inductance—on these currents. Drawing insights from extant scholarly discourse on leakage current mitigation, this study offers a synthesized perspective accentuated with augmented strategies, elucidating a comprehensive path forward for leakage current suppression.
The Impact of Social Media Development on Consumption Behavior of Different Income Groups in Beijing
Authors: Liu Bowen
Published: January 2024

This study explored how social media development impacts consumption patterns across income segments in Beijing. A survey examined social media usage, shopping attitudes, and platform perceptions among 111 residents. The analysis found a limited correlation between income status and social media behaviors or views. However, age and advertising effect opinions showed significant relationships. Overall social media influence and equal platform access were key factors predicting differentiated advertising receptivity. Findings imply a broad social media impact on consumption across income levels in Beijing, with differentiation driven more by age and access than income status. Despite limitations in sampling and scope, this study provides a useful baseline understanding of the intersection between rising digital consumerism and income disparity in urban China. Further research with probabilistic sampling and qualitative data will be valuable. As social media evolves rapidly, tracking usage and attitudes will remain important. This study offers an early perspective on how consumption patterns are shaped by expanding virtual communities amidst economic gaps in Chinese cities. Follow-up studies can build on these findings through expanded methodology.
The Difference of Consumption Between Urban and Rural Areas in Jiangsu
Authors: Li Tianqing
Published: January 2024

This research delves into the intricate urban-rural consumption disparities within Jiangsu Province, China, over the decade spanning from 2011 to 2021. Specifically, it explores disparities in the domains of food, health care, culture, and entertainment, shedding light on the multifaceted dimensions of inequality in these critical aspects of daily life. The study employs a comprehensive approach, combining quantitative data analysis and qualitative insights, to provide a holistic understanding of the socio-economic factors driving these disparities. The findings reveal a stark divergence in consumption patterns between urban and rural areas of Jiangsu Province. In the realm of food, urban residents have access to a wider variety of choices and higher-quality options compared to their rural counterparts. Disparities in healthcare access and utilization are also evident, with urban areas benefitting from more advanced medical facilities and services. Furthermore, cultural and entertainment opportunities are concentrated in urban centers, leaving rural residents with limited access to enriching experiences. This research is of paramount importance as it underscores the pressing need for policies and interventions aimed at bridging the urban-rural consumption gap in Jiangsu Province. The study's findings have significant implications for regional development strategies, social equality initiatives, and the overall well-being of Jiangsu residents. Understanding the intricate dynamics of consumption disparities is crucial for fostering a more equitable and sustainable future for all residents of the province.
Research On Befortinib: Characteristics, Role, And Development of Fourth-Generation EGFR-Tkis
Authors: Wu Tong
Published: January 2024

Lung cancer is one of the most common cancers in terms of morbidity and mortality. Among them, non-small cell lung cancer (NSCLC) accounts for 90% of lung cancer patients. Epidermal Growth Factor Receptor (EGFR) mutations are also the most common type of driver gene mutation in advanced NSCLC. In Chinese NSCLC patients, the proportion of EGFR mutations was 28.2%, and this proportion increased to 50.2% in lung adenocarcinoma. All three generations of Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors (EGFR-TKI) are effective therapeutics for lung cancer patients carrying EGFR-sensitive mutations or T790M mutations, each of which has its own advantages and characteristics, as well as its own limitations and adverse reactions. Befortinib, which is new to the market in 2023, has better Median progression-free survival (mPFS). However, three generations of EGFR-TKI cannot completely overcome the resistance mechanism of lung cancer. In addition to the T790M mutation, there are other mutations or mechanisms that cause lung cancer to become resistant to third-generation EGFR-TKI, such as C797S mutation, MET amplification, HER2 amplification, etc. At present, the fourth-generation of EGFR-TKI is still under continuous research and development.
Research on Volatility Prediction of Stock Returns Based on ARIMA Model
Authors: Gong Zhuoyan
Published: January 2024

This article illustrates the prediction of stock return volatilities for enhancing confidence and minimizing the risk of investors in making investments. The most suitable ARIMA model for making a forecast is selected with the help of KPSS and portmanteau test. To avoid the unpredictable influences from macroeconomic factors and to prove the validity of the volatility prediction in the real world, a training dataset and a test dataset are selected from a specific time period with minimum variations in these factors. The forecast data tells that in a period of few variations in macroeconomic factors, the selected ARIMA model could make precise predictions for the volatilities. In the period which the volatilities are strongly affected by factors such as inflation and money supply, the model could still be helpful in reducing the risk and enhancing the accuracy of predictions for the investors if they understand the way volatilities change with these factors.
Application Of Probabilistic Linguistic Term Sets and Prospect Theory in Multi-Attribute Decision Making: Aviation Industry Evaluation
Authors: Kong Ruizhe , Wang Zhangxi , Yu Feifan
Published: January 2024

With the increasing complexity and diversification of current decision objectives, partial data absence in evaluating certain decision criteria is common. Therefore, this paper introduces a fuzzy evaluation method using probabilistic linguistic term sets and integrates it with prospect theory. This integration allows reflecting decision-makers' preferences while addressing the issue of data absence for evaluation. Additionally, the paper employs the entropy-weighted Analytic Hierarchy Process (AHP) to evaluate other criteria, and all criteria are evaluated using the TOPSIS method, forming a comprehensive evaluation methodology. Finally, the proposed methodology is applied to assess the aviation industry level in eastern coastal provinces represented by Zhejiang Province. Finally, the proposed methodology is applied to assess the aviation industry level in eastern coastal provinces represented by Zhejiang.
Forecasting Bitcoin Closing Price by Four Machine Learning Algorithms
Authors: Zhang Jingjing
Published: January 2024

Bitcoin has increased in popularity as a speculative asset. Since 2013, eventually becoming the most recognizable cryptocurrency. But it's worth noting that the price of Bitcoin has a very high degree of volatility and diversity, which means the ability to estimate prices accurately is crucial for making wise financial decisions. Although recent research has implemented machine learning to predict Bitcoin prices with greater precision, such as Long short-term memory (LSTM), few have focused on traditional machine learning methods. In this article, the author chose a data set including nearly eight years of daily bitcoin price data for closing price prediction. Four different machine learning algorithms were used simultaneously: the Linear Regression (LR), the Decision Tree (DT) and the Random Forest (RF). An artificial neural network, the Multilayer Perceptron (MLP) was also used in this study. The author altered parameter values using the cross-validation method before creating the models in order to get more precise predictions. Finally, Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and R-squared are used as indicators to assess the outcomes from each model. The study's findings demonstrated that all three metrics of Linear Regression outperformed the performance of the other three models. Perhaps future research could focus more on traditional machine learning algorithms instead of going after complex models.
Application of Natural Killer Cells in Cancer Treatment and Its Clinical Progress
Authors: Zhang Yiwen
Published: January 2024

One type of effector lymphocyte that is crucial to the innate immunity is the natural killer (NK) cell. With the increasing interests in immunotherapy, the value of NK cells utilization on treating cancers is gradually being recognized and thus is transforming to be proved by current clinical trials. NK-based cancer immunotherapy results in unique cytotoxic functions in a more direct and straightforward manner which targets both hematologic cancers as well as solid tumors. Concurrently, several clinical obstacles are encountered, including immunological escape, hardship of tumor access, and effector cell fratricide, which all await to be solved and require further studies on promoting the effectiveness while remaining immuno-safety. Pleasantly, multitudinous corresponding solutions are flourishing, and researchers are using their best endeavors to accelerate positive progress in NK-based immunotherapy. Believing in a promising future of NK-related cancer immunotherapy, this review will concentrate on NK cells’ effector functions towards cancers, including the cellular mechanisms, present experimental progresses, and challenges which need to be addressed.