bluuebunny/crossref_metadata_2025 huggingface dataset:
Background Noise Imaging-based Monitoring of Water-driven Leading Edges
Authors: Yang Feng
Published: June 2024

This paper investigates the necessity of monitoring the leading edge of water drive in the process of compression drive, and points out the limitations of the existing technology, among which the microseismic monitoring method is less costly and widely used but less accurate. Tracer tracking is reliable, and water injection effect can be judged by monitoring tracers in production wells, but the operation and interpretation are more cumbersome. Four-dimensional time-shifted seismic monitoring is reliable and can determine the location of water-driven front and predict the distribution of residual oil in long-term water-driven reservoirs, but the cost is high, the cycle time is long and the acquisition is inconsistent. And a new technique based on passive source time-shift imaging is proposed, which is based on background noise imaging with autocorrelation seismic interferometry to realize low-cost and long-time water-drive leading edge monitoring. The experimental results show that the way and number of geophones are deployed directly affect the imaging effect, in which the performance of the wire-bundle-like observation system is better than that of the ring-like system, and the more the number of geophones, the better the imaging effect. Effective dynamic monitoring of the water-driven leading edge was carried out in two mines using this technology, confirming its stability and reliability in practical application. The study provides a complete set of monitoring process, which brings the possibility of technology optimization for future oilfield development, and suggests combining with microseismic monitoring to improve the imaging accuracy and monitoring effect.
The Research on Factors Influencing Housing Prices-Take Beijing as an Example
Authors: Chen Bowen , Min Yifan , Yu Siyu
Published: June 2024

This article aims to identify those factors that have an impact on housing prices. The method of Multiple Linear Regression is used to analyze the significant factors with 400 samples of Beijing from 2011 to 2017. Based on an assumption, 12 variables that were chosen do correlate with housing prices. This paper also considers the interaction effects between house squares and the number of living rooms, drawing rooms or bathrooms, and uses Forward Stepwise Regression to solve the covariance problem caused by adding interaction terms. In order to test the effectiveness of this operation, the research compares the VIF value and significance of those variables. It turns out that square, building type, elevator, construction time, renovation condition, and subway have a significant linear relationship with prices, while the number of living rooms, drawing rooms and bathrooms, building structure, property rights, and district fail the significance test. Overall, the volatility of housing prices in Beijing can be considered by the extent to which these factors affect them.
Analysis of the Features of Reionization Cosmic Dust with DUSTiER and THESAN Simulation
Authors: Yang Jiayi
Published: June 2024

Cosmic dust presented in the universe plays an important role in light extinction and determining the metallicity of galaxies. Dust properties of galaxies closer to the Earth are easier to observe. However, the dust of more distant universes, for example, the reionization universe, is not well understood. This paper will focus on discussing attributes, distributions, and interactions of dust during the high red-shift reionization galaxies, with the aid of computer simulations. The analysis of the first introduced simulation model DUSTiER (DUST in the Epoch of Reionization) focuses on dust’s mass and its extinction of UV light in reionization. The main results include observed gentle UV slope variations for stellar entities with smaller masses but considerable fluctuations for higher stellar masses. Discussion of the second model THESAN analyzes on metallicity and mass distribution of dusty galaxies. Primary results exhibit a negative relation between dust-to-metal ratio and metallicity, and an increasing dust mass share of Interstellar Stellar Medium (ISM) as the universe approaches lower redshifts. These results offer a better comprehension of dust mass during the reionization epoch and the methods used by contemporary computer models to simulate it.
Study on Adsorption Properties of Activated Carbon for Advanced Treatment of Chemical Wastewater
Authors: Bie Yuetong
Published: June 2024

The discharge of untreated or inadequately treated wastewater from chemical factories can lead to severe environmental degradation, posing threats to aquatic ecosystems and human health. Initially, the fine chemical factory in Inner Mongolia relied on a conventional method, primarily based on electrochemical oxidation coupled with electro-Fenton oxidation, resulting in chemical oxygen demand (COD) concentrations of approximately 12,000 mg/L. This research contrasts the enhanced wastewater treatment process incorporating electrochemical oxidation with the method of electrochemical oxidation and chemical additives integrated with activated carbon adsorption. The integration of activated carbon led to a substantial improvement in wastewater treatment efficiency. After treatment with the introduction of activated carbon, COD concentrations were reduced to values ranging from 322 mg/L to 622 mg/L across different batches, indicating a reduction of up to 95% compared to the original method. The stark contrast between the two methods underscores the transformative potential of integrating activated carbon adsorption, positioning it as a pivotal solution for chemical factories in Inner Mongolia.
The Research of the Birth Rate in Canada from 1951 to 2022
Authors: Chen Zhiyu , Meng Lin , Luo Siran
Published: June 2024

Although previous studies have shown that Canada's birth rate is in constant decline, many factors are worth investigating. In this study, the ARIMA time series model approach was used to process data from the United Nations World Population Prospects, a system that collects Canadian birth rates from 1995 to 2022. Finally, when the residual model has a sequence relationship, the ARCH/GARCH model is considered for further study, and the conclusion is that the birth rate is still declining due to many factors such as the epidemic situation and living habits, and the birth rate growth is still negative in the next 20 years. However, with more data, Canada's population is still the fastest-growing country among many developed countries. According to the literature analysis, the factors contributing to the low birth rate include the COVID-19 pandemic, women's thoughtfulness and social status, and the improvement of quality of life.
Assessment of the Value of Large-Scale Use of Sustainable Aviation Fuels for Global Flights in 2050
Authors: Li Haoyang
Published: June 2024

By analyzing the projected data for the year 2050, it will be determined whether it is worthwhile to fully replace regular jet fuel with sustainable jet fuel in the future, based on the cost and efficiency in reducing carbon emissions. Although SAF still has many drawbacks at this stage (e.g., relatively low conversion efficiency, high cost, etc.), its reduction in carbon emissions should not be overlooked, and thus the full-scale use of SAF is still a topic for discussion. Therefore, this paper focuses on the impacts and harms of carbon emissions as well as the advantages and disadvantages of SAFs, while comparing and estimating the situation at this stage using various data projections for 2050 provided by a number of organizations and companies. The data points out that the biggest problems with SAFs are cost and trust. The real reason for the high cost is the loss of resources in the conversion of raw materials to kerosene due to the lack of technology, which in turn requires the consumption of more materials to make up for this shortcoming, and the issue of trust in SAFs arises from this. However, the core of the problem is quite simple. If it is just a matter of technology, then given the rapid advancement of technology, one day we will be able to solve it. Therefore, the full use of SAF is necessary because it will significantly reduce carbon emissions, pollution, and global warming. It will also contribute greatly to the environmental protection of mankind.
Analysis of the Different Models for Stock Price Prediction
Authors: Lu Zhehao
Published: June 2024

As a matter of fact, the stock price prediction is sustained for many years when stocks appeared. People are finding ways to predict the stock prices and find the best price for earning most profits. On this basis, this study will discuss about the stock price prediction in terms of various models including time series models as well as machine learning and deep learning schemes, there are different types of models, and these models have different uses and methods. According to the analysis, this paper find ARIMA model, recurrent neural model, and logistic regression model are available for calculating the stock prices. This is proved by using the data before and calculate the data afterwards. The prices calculated is similar to the real prices. Which means these methods or models are useful for predicting. Overall, these results shed light on guiding further exploration of stock price prediction based on the state-of-art machine learning scenarios.
Executive compensation adjustment and the risk of stock price
Authors: Li Zhixuan
Published: June 2024

Based on the 'convergence of interests' hypothesis, rational people hypothesis, and management information hiding hypothesis. This study uses the 2023 Fortune 500 as its research object to analyze the effects of executive remuneration adjustment on the danger of the stock price crash. The research shows that when the board of directors can effectively supervise the executives, the company's adjustment of the number of executive compensation will help to improve the incentive efficiency, promote the " convergence of interests " between executives and shareholders, relieve the agency problem, and then inhibit the crash of company's stock price. When the senior executive power gradually expands and loses control, the salary adjustment may be a manifestation of the executives seeking personal benefits, which not only does not help to solve the agency problem but may even become a part of the agency problem, which in turn increases the chance that the company's stock price may drop.
Analysis of Aerodynamics on High-speed Trains
Authors: Tian Anyu
Published: June 2024

As a matter of fact, the high-speed trains have become an important intercity transportation tool due to their efficiency, safety, and convenience in recent years. However, compared to conventional tree operation at a low velocity, the high-speed railway requires lots of new features. Among different requirement, the aerodynamic behavior of high-speed trains is crucial for their design. With this in mind, this study will briefly introduce the latest progress in the aerodynamic research of high-speed trains based on analysis of principles, simulation results as well as experimental results. To be specific, this study will analyze the train intersection, crosswind effect, tunnel effect, aerodynamic noise, aerodynamic drag, and induced wake, etc. According to the analysis, the current limitations will also be clarified and evaluated. At the same time, the future prospects will be demonstrated and proposed based on the evaluations. Overall, these results shed light on guiding further exploration of high speed trains.
Analysis of the Parrondo Paradox and Applications
Authors: Gao Enyu
Published: June 2024

The Parrondo paradox refers to a counterintuitive phenomenon where the combination of two losing strategies can result in a winning outcome. This paper examines the Parrondo paradox and its applications. The purpose of this study is to analyze the underlying mechanisms of the Parrondo paradox and explore its potential applications in various fields. In this research, a comprehensive analysis of existing literature and mathematical models is conducted to understand the theoretical foundations and practical implications of the Parrondo paradox. The results reveal that the emergence of the paradox is attributed to the interplay between deterministic and stochastic features in complex systems. By investigating the underlying mechanisms of the Parrondo paradox, this study contributes to a deeper understanding of complex systems and non-linear dynamics. Moreover, the applications of the Parrondo paradox are found in diverse fields such as finance, biology, and data analysis. It is concluded that the understanding of the Parrondo paradox can provide valuable insights for decision-making processes in dynamic and uncertain environments.
Liquid Flow Batteries: Principles, Applications, and Future Prospects
Authors: Tian Qiaocheng
Published: June 2024

This paper aims to introduce the working principle, application fields, and future development prospects of liquid flow batteries. Fluid flow battery is an energy storage technology with high scalability and potential for integration with renewable energy. We will delve into its working principle, main types, advantages and limitations, as well as its applications in power systems and industrial fields. In addition, we will also discuss current research directions and future development trends in order to provide a comprehensive understanding of liquid flow battery technology. And this technology is an advanced electrochemical energy storage technology that has garnered significant attention in the fields of renewable energy integration, energy reserves, and grid stability. Unlike conventional solid-state batteries, liquid flow batteries derive their name from the use of liquid electrolytes for energy storage. Nonetheless, liquid flow batteries face some challenges. However, ongoing technological advancements hold the promise of liquid flow batteries becoming a prominent solution for renewable energy storage in the future, contributing significantly to clean energy and sustainable development.
Path of Green Transformation of China's Industrial Enterprises in the Context of "Dual Carbon"
Authors: Ma Ziyun
Published: June 2024

China put forward the goals of "peak carbon" and "carbon neutrality" at the Internet conference, and the green transformation of China's industry is a necessary path to realize the "double carbon" goal. This paper focuses on the international and domestic background of the "dual-carbon" goal, the significance of setting the goal, the carbon emission situation of industrial enterprises, the difficulties in the green transformation of industrial enterprises, and the possible paths for the green transformation of industrial enterprises. Since the Second World War, the global industry has been developing rapidly, and nowadays, the excessive carbon emission has caused the common greenhouse effect problem in the world. As a responsible country, China has made a commitment to "double carbon" in the United Nations General Assembly, and has actively carried out carbon emission reduction work. This paper combines the current situation of carbon emissions of industrial enterprises, analyzes the constraints of green transformation of industrial enterprises from the perspectives of the government, enterprises, energy, etc., and analyzes the path of green transformation of industrial enterprises according to their characteristics. This paper looks forward to providing industrial enterprises with certain transformation ideas, to help find a more realistic and feasible path to solve the problem of green transformation of some industrial enterprises in China.
Comparison of Different Hubble Constant Measurements Approach
Authors: Xu Gaomeng
Published: June 2024

As a matter of fact, the Hubble constant is a fundamental parameter describing the universe's expansion rate as well as the relationship between celestial object distances and redshifts. In reality, precisely measuring is crucial for understanding the universe's evolution, age, and its fundamental components. The Hubble constant's value is determined through diverse methods including pulsating stars, supernovae, and cosmic microwave background radiation. However, these approaches have yielded conflicting results, resulting in the Hubble constant tension. With this in mind, this study first introduces two commonly used measurement methods of Hubble constant, including distance ladder and CMB, and then compares the observation data obtained by combining these two observation methods, that is, comparing the results obtained by different measurement methods of Hubble constant. Different results were obtained. At the same time, this phenomenon was analyzed, the possible reasons were obtained, and the future development of this field was summarized and prospected.
Feasibility and Economic Viability of Heat Pumps in Energy-Efficient Applications
Authors: Guo Shuyi
Published: June 2024

Energy-saving techniques, such as the implementation of efficient engineering equipment, play a crucial role in reducing energy consumption within buildings and facilitating of a transition towards a low-carbon energy future. In this context, this paper briefly introduces the principle of heat pumps, along with an examination of the diverse circumstances in which different categories of heat pumps can be effectively employed while analyzing energy efficiency, economic considerations, as well as environmental implications. The adoption of heat pumps has been widely recognized as a means of achieving energy savings in comparison to the installation of conventional boiler/chiller systems, resulting in evident environmental effectiveness and substantial reduction in emissions. This paper examines the performance of several heat pump systems under diverse climatic situations and presents illustrative instances of effective implementation. Heat pumps tend to have higher initial costs but low maintenance and long lifespan. This paper also examines the remaining challenges for the broad deployment of heat pumps. Costs, policy, scientific limitations, and market dynamics challenges exist, which could potentially obstacle. The paper also included the prospective trajectory of heat pumps, with a notable emphasis on the integration of solar energy as an emerging trend, with the inclusion of solar energy being highlighted as a prospective trend. This paper aims to enhance comprehension of the feasibility and economic soundness of heat pumps.
Factors Influencing Airline Delays of United States
Authors: Zhao Xiaomeng
Published: June 2024

This article analyzes and studies the causes of airline delays originating in the United States. The aim is to find out the most significant causes of flight delays and help airlines better optimize routes and reduce potential losses. Previous studies have shown that the main causes of airplane delays are delays in the national aviation system and the airlines' own delays. This article uses linear regression to analyze the data. The conclusion is that the occurrence of aircraft delays may be related to factors such as National Aviation System, Aircraft Arriving and weather. While analyzing the factors that cause flight delays, the paper also analyzed the interactions between these factors and a strong correlation was found between Air Carrier Delay and Aircraft Arriving Late Delay, this may have contributed to the fact that the effect of Air Carrier Delay on flight delays was not significant enough for the analysis in this paper. In addition, Airline Diverted, Flight Cancellation, and Security Delay had very little effect on with flight delays.
Analysis and Prediction of the Causes of Non-Performing Loans: A Case Study of China
Authors: Qi Bowen
Published: June 2024

This paper conducts a case study of China to analyze and predict the causes of non-performing loans. Firstly, by defining and classifying non-performing loans, the paper analyzes the causes of non-performing loans, including the macroeconomic environment, internal bank management, and market competition. Secondly, using the time series analysis method, the paper predicts the non-performing loan ratio of China from 2020 to 2021. The results show that the time series regression model can predict the non-performing loan ratio well. Finally, based on the causes of non-performing loans and the prediction results, the paper proposes corresponding suggestions, including strengthening macroeconomic regulation and improving internal bank management. The paper also analyzes the shortcomings and limitations of the prediction method and provides prospects for the future. This paper has particular reference value for the causes and prediction of non-performing loans and can provide some reference for relevant departments and financial institutions.
The Effect of Temperature on the Electrolyte of Lithium Battery and the Strategy for Additive Use
Authors: Li Xintong
Published: June 2024

Lithium-ion batteries have found extensive applications in portable electronic devices, energy storage systems, and various other fields. However, temperature has an important impact on the performance of LIBs in all aspects. In low-temperature environments, common commercial LIBs cannot avoid the problems of sharp drops in energy and power density, increased internal resistance, and the consequences of lithium dendrites, severely limiting their applications in key fields such as aerospace and polar exploration. On the other hand, high-temperature environments lead to rapid ion migration and electrochemical reactions, causing more pronounced exothermic side reactions, ultimately resulting in thermal runaway of the battery. The simplest and fastest way to solve these problems is to add additives to the electrolyte. Therefore, this article first introduces the effects of different temperatures on LIBSs electrolytes and their properties. Then, the application of different additives in LIBs was emphasized, aiming to provide valuable insights for future research on lithium-ion battery performance.
Analysis of Statistic Metrics in Different Types of Machine Learning
Authors: Chen Jiayi
Published: June 2024

As a matter of fact, machine leading techniques has been attracting a lot of attention as one of the most promising areas of development in recent years on account of the rapid development of computing ability. Among other things, these autonomous learning mods need to go through a series of evaluations to determine their utility and usability and other features. In addition, this is where statistic metrics become particularly important. With this in mind, this paper will systematically analyze the use of different evaluation metrics and evaluation methods from three aspects, i.e., regression, classification and clustering. To be specific, some examples and formulae will be interspersed with practical examples. The purpose of this paper is to help better understand the different statistic metrics, so that they can apply them to different models of machine learning. Overall, these results shed light on guiding further exploration of machine learning implementation in various aspects.
Mitigation of Wind Power for the Energy Crisis and Future Trends
Authors: Tao Zhilin , Zhu Meihui
Published: June 2024

The energy crisis is an influential topic in today's world, and fossil energy consumption and emissions are the focus of international attention. The use and emission of fossil energy has been built into a very sophisticated system by mankind, and despite the many drawbacks it is still not in a position to be outlawed on a large scale. The development and practical application of new energy sources are increasingly valued, and new energy sources are seen as alternatives to fossil energy sources. The elimination of the traditional method of burning fossil fuels through new ways of generating electricity is perfectly in line with the international trend towards reducing emissions. New energy is strongly advocated, but because the development and use of new energy does not have enough history and experience, there is still a gap in the maturity of use.
History, Mechanisms, and Future Directions of the El Niño-Southern Oscillation under the Severe Climate Change
Authors: Wu Danyao
Published: June 2024

The El Niño-Southern Oscillation is a global occurrence that arises from the interplay between air and ocean. It is characterized by three distinct phases: neutral, El Niño, and La Niña. These phases have varying effects on the global climate. Given the rapid changes in the world's climate, ENSO's role as a climate predictor is becoming increasingly vital. This article aims to provide an overview of ENSO research, including its history and present status. It also delves into the mechanisms behind ENSO and the different indicators used to anticipate its behaviour, as well as its effects on China's climate and the human populace. Furthermore, the article explores future research directions, emphasizing the importance of addressing issues such as optimal precursors and barriers to spring predictability to achieve better ENSO predictability. The ultimate goal is to improve the accuracy and precision of forecasts, enabling humans to cope better with unforeseen climate changes.
Application of Statistics to Portfolio Optimization
Authors: Yi Siming
Published: June 2024

In the 21st century, with the advent of big data, data will emerge as the most powerful tool, enabling investment thoughts or ideas to be transformed into mathematical models. Backed by comprehensive data on real situations for analysis, employing large data sets will become a reasonable and effective approach for investment analysis, in particular, portfolio investment. The aim of this study is to gain a relatively more comprehensive understanding of the application of statistics to investment portfolios. It focuses on the principle of the factor model. The advantages and disadvantages of different factors in different situations are compared. In the experimental part, the same index, such as adjusted R2, is applied to the same data in different models for comparison. The experimental findings demonstrate that the three-factor model can more accurately fit the data and is more useful than the CAPM model. The three-factor model is inferior to the five-factor model, which is better suited to some specific interactions.
Research on the Development of Urban E-commerce Based on Functional Data
Authors: Wu Tiansui
Published: June 2024

With the advancement of the digital economy, the volume of data generated daily is growing exponentially. Traditional statistical analysis methods struggle to handle such large amounts of data. As a significant portion of the collected data is presented in time series, these data demonstrate certain characteristics of functional data as the data volume increases. By expanding these data into functional data using B-spline basis functions, they can be transformed into infinite-dimensional data with function properties. This study utilizes the transaction data of an e-commerce platform throughout a day, applies functional principal component analysis, and analyzes the development of e-commerce in major cities across the country. Future marketing recommendations for these cities are also proposed.
Research Progress of Thin Film Structures of All-Solid-State Lithium-Ion Battery
Authors: Zhang Jiarui
Published: June 2024

The need for portable power sources has increased quickly with the advent of the electronic information era. Due to the significant benefits of lithium-ion batteries' high voltage, high capacity, and extended cycle life, these batteries have a wide range of potential applications in a variety of industries, including portable electronic gadgets, electric vehicles, and space technology. Lithium-ion batteries may cause safety issues such as thermal runaway under harsh conditions. By employing solid electrolytes in the thin layer of all-solid-state lithium batteries (TFLIBs) instead of organic liquid electrolytes, the safety issues with current commercial lithium-ion batteries may be effectively remedied. They outperform bulk solid-state lithium batteries, which has made the industry pay close attention to them. Because they directly affect the charge-discharge rate, cycle life, self-discharge, safety, and high and low-temperature performance of thin film batteries, electrolyte thin films play a crucial role in TFLIBs. This paper reviews three innovative thin film structures, their different benefits and drawbacks, the most current research on them, and projections for their future development to serve as a reference for future research on lithium-ion batteries.
Comparative Analysis of Typhoon Track Prediction Methods: A Review
Authors: Song Yuexuan
Published: June 2024

This review paper aims to provide a comprehensive understanding of the various methodologies employed in predicting the paths of tropical cyclones, with a focus on their efficiency and accuracy. Traditional statistical models, dynamical models, and emerging machine learning models are thoroughly examined. Case studies are used to compare the performance of these methods in predicting the same typhoon events. The paper concludes that while traditional methods are still in use, advanced methods like machine learning and ensemble models offer higher accuracy and are recommended for future research and applications. The review serves as a guide for researchers, policymakers, and stakeholders in choosing the most effective typhoon track prediction methods.
Analysis and Comparison of Three Exoplanet Searching Schemes
Authors: Yang Chang
Published: June 2024

In retrospect, from ancient times to the present, human beings have never stopped exploring the secrets of the universe. With this in mind, exploring the universe means the progress of human science and technology, promoting the exchange and integration of human civilization and avoiding unknown risks and continuing human civilization. In the 1990s, humans officially launched the challenge to detect exoplanets. Since then, research on exoplanet detection has developed rapidly. On this basis, this study introduces the research history, development status and research results of exoplanet detection, comprehensively introduces mainstream exoplanet detection methods and representative projects, and elaborates on the principles, instruments, and research results of the three most widely used methods. Finally, this study summarizes the current problems and difficulties that restrict the development of exoplanets, and look forward to the development trends and bright prospects of future planetary exploration. These results provide guiding insights of further exploration of exoplanet searching.
Optimizing Site Selection Under Extreme Weather Conditions Based on Multi-Layered Raster Overlay Technology
Authors: Du Wenjie , Zhao Huiling , Zhu Futong , Liu Juxian , Zhou Wenfei , Li Yifei
Published: June 2024

With the increasing likelihood of more severe weather and natural disasters due to climate change, extreme weather events are becoming a crisis for property owners and insurance companies. The Resilient Property Assessment Model (RPE) is established based on geostatistical kriging techniques to evaluate property locations under extreme weather conditions in the United States, aiding decision-making for real estate and insurance industries. Initially, discrete meteorological data is extrapolated into continuous fields, forming the optimization model. Subsequently, it integrates GIS’s multi-layered raster overlay technology to precisely identify prime areas for property development and insurance coverage through comprehensive assessments of 13 natural and social factors. Findings reveal that 8 states possess high-quality insurance markets, primarily concentrated in the eastern and central border regions of the United States. Additionally, leveraging existing data, it investigates the spatial dynamics of North Atlantic tropical cyclones, tracking them to enhance regional insurance strategies, further affirming the reliability of the RPE model. This paper aims to provide corresponding recommendations for local real estate site selection and insurance model adjustments through the RPE model, to better cope with the crisis of frequent extreme weather events.
Advances in Three-dimensional Finite Element Analysis of Non-carious Cervical Defects
Authors: Liu Shuo , Ma Mingshuang , Li Yuan , Xing Fuao , Liu Xuan , Liu Chang , Peng Wei
Published: June 2024

Three dimensional finite element analysis (FEA) is an important tool in biomechanical analysis research and has been widely applied used in the field of oral biomechanics research. Non carious neck defects (NCCL) are a common and frequently occurring disease in clinical practice. Using FEA to study the stress distribution of teeth before and after NCCL treatment can provide reference and guidance for the treatment of non carious neck defects in clinical practice. This article will discuss the application of FEA in a review on the progress of NCCL repair methods and repair materials in therapeutic research.
Research and Development Status of Solid-State Batteries
Authors: Shen Yawen
Published: June 2024

Batteries, as a widely used energy storage device, have become an important component in the development of modern society. However, traditional liquid batteries face a number of security challenges, energy density and lifespan, and the development of new battery technologies is urgently needed. As an emerging battery technology with high energy density, safety advantages and long lifespan, solid-state batteries (SSB) have obtained much attention worldwide. This paper first introduces the basic working principle of batteries. Batteries use chemical reactions to convert chemical energy into electrical energy, and realize the energy output by the flow of electrons through the movement of ions in the electrolyte. SSB differ from conventional liquid batteries in that they use solid-state materials, such as ceramics or polymers, for the electrolyte, which provide high ionic conductivity. Second, this paper will examine the current SSB development, in which domestic and foreign research institutions and enterprises have conducted extensive and continued to research SSB. They are committed to improving the battery preparation process, optimizing the battery assembly structure, and developing new solid-state electrolyte (SSE) materials. This paper then explores the fundamental technologies related to SSE, which are a critical aspect in the advancement of SSB. Recently, scientists have suggested a range of solid-state electrolyte materials possessing elevated levels of ionic conductivity, including oxides, sulfides, and polymers. Lastly, the advantages and challenges of SSB are analyzed in this paper. Greater safety, higher energy density, and longer lifespan are offered by SSB in comparison to traditional liquid batteries. Nonetheless, challenges regarding the conductivity of the solid-state electrolyte, selection of electrode material, and battery manufacturing costs still need to be addressed by SSB. In summary, SSB as an innovative energy storage solution have great development potential and broad application prospects. Future research and technological innovation will further promote the application and commercialization of SSB in energy storage.
A Feasibility Study of BIM Technology in the Renovation Process of Ageing Districts
Authors: Zhang Yukun
Published: June 2024

At a time of rapid technological development, people's demand for quality of life is increasing. To ensure that the core location of the region is integrated with the surrounding locations, the government is working on the renovation and refurbishment of the old community. In the process of renovation, the establishment of a building information model and the realization of building Informa ionization can provide the whole process and multi-faceted data support for the renovation project. This effectively improves the quality of the project and provides assistance for operation and maintenance during the use of the building. Based on this, this paper takes BIM technology as the entry point, describes the application of BIM technology in the transformation of old areas, and conducts research on the technical transformation of old areas.
Optimization of water level management in the Great Lakes based on simulated annealing and Kalman filtering
Authors: Liu Zhile , Lu Shixiang , Gu Chengzhuo , Yu Zehao , Xiang Su , Shen Shuoshuo , Qiao Qiyuan
Published: June 2024

This paper focuses on the water level management problems in the Great Lakes, and addresses the challenges of optimal water level regulation in the Great Lakes through methods such as simulated annealing multi-objective optimization algorithm and Kalman filter hydrological model. First, the simulated annealing algorithm was used to analyze the influence of each interest factor on the water level, and the interest balance point was established as the optimization objective function to obtain the optimal water level in the Great Lakes. Second, a Kalman filter hydrological model was introduced to keep the water level of the lakes fluctuating around the optimal level by monitoring and adjusting the inflow and outflow data of the lakes in real time to adapt to the effects of climate change and anthropogenic factors. Finally, a hierarchical analysis was applied to assess the importance of each stakeholder for water level management and to verify the robustness and reliability of the algorithm in case of conflicting interests. This study can provide scientific decision support for water resource management in the Great Lakes region.
Analysis of the Residue Theorem and Its Applications
Authors: Li Yuntong
Published: June 2024

Residue theorem is a useful tool for studying complex variable function. Residue theorem can be widely used in various disciplines, and it helps people solve a lot of practical problems. The residue theorem plays an important role in both mathematics and physics. It can not only make integral easier, but also solve problems that related to thermodynamics, optics, and electricity. In practice, it is usually complicated to solve the definite integral by using substitution, partial integration method and so on. Although these methods can calculate the solution, the computational workload is too large and complex. Using residue theorem to transform integral formulas can help people solve integrals easily. The method of using the residue theorem to solve the integral is more convenient than some traditional methods. In this paper, some applications of residue theorem are introduced. Further, it also gives some examples for calculating the integral by using residue theorem and logarithmic residue theorem.
Research progress of gel polymer electrolytes for lithium batteries
Authors: Zhou Shiyue
Published: June 2024

Due to their exceptional electrochemical properties, lithium-based rechargeable batteries have been the industry leaders in the energy storage field and have attracted substantial research attention. Electrolytes play an irreplaceable role in lithium batteries. Gel polymer electrolytes (GPEs) not only hold the potential to ameliorate the risks associated with liquid electrolytes and solid electrolytes but also show further applications as additives, activators, and membranes, enhancing the properties of many electrochemical systems. Moreover, their processibility and flexibility make them a promising application on wearable and biomedical devices. This article first briefly introduces the basic structure and working principle of lithium batteries. After that, the characteristics of several lithium-based batteries, including LSB, LMB, LIBs, and LOB, were compiled. Finally, this paper emphasizes several traditional gel polymer electrolytes for lithium batteries, including PAN-based GPE, PEO-based GPE, PMMA-based GPE, and PVDF-based GPE. The critical role they play in enhancing the performance and safety of lithium battery systems was illustrated by presenting the most recent research advancements.
Sales Prediction Based on Lasso Regression
Authors: Xu Mengyu
Published: June 2024

Sales prediction is a critical aspect for businesses across diverse fields, providing them with the means to operate efficiently and achieve success. It constitutes an integral component of the decision-making and planning processes within a business. Several forecasting models are available for sales prediction, with most machine learning models performing exceptionally well. However, the suitability of these models can vary depending on the dataset provided. While many datasets are not overly complex and contain a limited number of variables, others are more intricate, featuring numerous variables, many of which may be irrelevant and could potentially skew the results. Therefore, the goal is to eliminate these irrelevant variables and identify those that are more closely correlated with the prediction task. The Least Absolute Shrinkage and Selection Operator (LASSO) regression model emerges as a valuable tool for the removal of irrelevant data. This study employed the Lasso regression model to analyze a housing sales dataset and discovered that it provided an excellent fit for prediction without overfitting the training set. This study presents an overview of the advantages of LASSO, discusses its limitations, and offers insights into its potential for future development.
Research on the Inheritance and Protection of Non-material Cultural Heritage under the Background of Rural Revitalization
Authors: Zhao Jingyi
Published: June 2024

The report of the 19th National Congress of the CPC proposed the rural revitalization strategy, considering it as an important part of building a socialist modernization strong country. The revitalization of rural culture is bound to become the key to rural revitalization. non-material cultural heritage is the driving force for the development of rural culture, containing rich rural culture and possessing diverse values. However, current non-material cultural heritage encounters many difficulties in inheritance and development, such as the discontinuity of inheritance and improper protection and utilization, which seriously hinder the pace of rural revitalization. In order to solve these problems, this paper deeply analyzes the current situation of inheritance and protection of China's non-material cultural heritage, and proposes a series of practical solutions. The paper explores the important value of the inheritance and protection of non-material cultural heritage under the background of rural revitalization, points out the realistic difficulties in the inheritance and protection of non-material cultural heritage, such as insufficient infrastructure, lack of inheritors, and the impact of commercialization and modernization, and proposes targeted optimization strategies for the inheritance and protection of non-material cultural heritage, injecting new vitality into rural cultural revitalization and promoting comprehensive rural revitalization.
Preface: 2nd International Conference on Green Transport, Renewable Energy and Environment (GTREE 2023)
Authors: Michelson Betsy , Zhang Hui
Published: June 2024

The 2023 2nd International Conference on Green Transport, Renewable Energy and Environment (GTREE 2023) was held during December 09-10, 2023 in Luxembourg. The conference aims to bring together leading academic scientists, researchers, and engineers to exchange and share their experience and results on all aspects of green transport, electric vehicle, renewable energy, power engineering, environmental technology, and sustainable development. It also aims to provide the premier interdisciplinary forum for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns, practical challenges encountered and solutions adopted. GTREE 2023 constitutes a very important part in a series of international academic events. This conference will bring together researchers from the world and providing them with a high-qualified platform to share their latest studies and inspiring findings.
Conference Organizing Chair
Luxembourg
Calculation of the Gaussian Integral by Real and Complex Approaches
Authors: Zhu Qianyi
Published: June 2024

The Gaussian integral is a very important integral in real analysis. It has many applications in various areas, including probability theory, statistical mechanics, and engineering. Nevertheless, the calculation of Gaussian integral is not easy and some tricks should be involved. To this end, this paper mainly focused on the Gaussian integral. There are three main parts about testifying of the Gaussian integrals, background and application. The first part is focused on the background and the meaning of Gaussian integral. The second part is mainly focused on three methods to testify Gaussian integral. Pertaining these methods, the first is about the real method and double integral, the second is about complex variables, and the third is about generalized integral. The last one is about to testify this integral by using normal integral under one variable integral. The third part of the paper is about the application of this integral. These include the extend of Gaussian integral, the general form of Gaussian which is more complex, and the Gaussian integral in thermodynamics, aiming to get general formulas on heat conduction.
Research on the Relationship between Suicide Rates and GDP: A Statistical Analysis
Authors: Cao Yifan
Published: June 2024

The complex relationship between suicide rates and economic factors has gained substantial attention because it can have a significant impact on the public health, societal well-being, and economic development areas. This comprehensive study delves into the intricate interplay between suicide rates and Gross Domestic Product (GDP) across 173 countries, spanning the years from 2000 to 2019. Employing a rigorous Linear Regression Model, our analysis unveils a notably weak association between GDP and suicide rates. It becomes increasingly evident that economic prosperity, as symbolized by GDP, offers only limited predictive power when it comes to understanding the fluctuations in suicide rates. These findings underscore the multifaceted nature of suicide, emphasizing the pivotal roles played by a myriad of social, mental health, and economic factors that extend beyond the scope of GDP. This research serves as a valuable resource, providing vital insights for policymakers and researchers seeking to navigate the complex landscape of factors influencing global suicide rates and develop more targeted interventions.
Review and Prospect of Research on Employee Green Behavior
Authors: Zhang Qiao
Published: June 2024

The current environmental problems are becoming more and more serious, and enterprises, as the main creators of environmental problems, pay more and more attention to environmental problems, and the green practices of enterprises need to rely on their employees to achieve them, so the attention to the green behavior of employees is increasing. Although research in this field has been gradually carried out both at home and abroad, there are still some deficiencies. This paper collates the conceptual connotations of employees' green behaviors by sorting out the relevant literature, analyzes the influencing factors of employees' green behaviors from the individual level and the situational level respectively, and finally puts forward deficiencies in employees' green behaviors research as well as the future outlook, to provide a reference to the research on employees' green behaviors in the future.