bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantitative Light Pollution Risk Assessment System Based on TOPSIS Method and RLE Modeling
Authors: Wang Ying , Xia Nanling , Cheng Jinjun
Published: December 2023

Light pollution is causing great harm to human physical, mental health and the ecosystem. With the development of the times, light pollution is getting more and more intense. In order to better recognize and solve these problems, this paper focuses on constructing a light pollution risk level evaluation system to quantify light pollution, measure the light pollution risk level of each region, and give some feasible measures to reduce light pollution. The light pollution risk level (LPRL) index is established to measure the light pollution risk level; the perturbed TOPSIS method combined with entropy weighting is used to construct a comprehensive evaluation model (TEW) to evaluate the LPRL values of the four cities, and cluster analysis is performed. A region's total artificial light radiation is modeled and quantitatively analyzed with the Regional Artificial Light Radiation Estimation (RLE) model, and possible measures to reduce the LPRL values are proposed. The results show that rational control of light hours for urban communities can reduce LPRL values by 34%. For suburban communities, rational use of light can reduce LPRL values by 30%. Finally, some measures are proposed to reduce light pollution.
GGDP Index Establishment Based on ARIMA-LSTM Prediction Model
Authors: Shi Xiwen , Wu Jiaming , Zhang Wenxi
Published: December 2023

More and more studies have shown that GGDP may be more representative of the national economic health level and this paper establishes a GGDP calculation system based on the Environmental Economic Accounting System Central Framework. Then, with GGDP as the clustering index, the countries are divided into five categories. The Entropy TOPSIS model is established to quantify the impact of global climate. Then, based on the Ridge regression model, the functional relationship between GGDP and climate assessment values under different clusters is studied. Finally, two steps are taken to analyze the potential advantages and disadvantages of GGDP. In the case of using GDP, a prediction model based on ARIMA-LSTM is established to analyze global climate and economic development trends. In the case of using GGDP, to quantify the change of GGDP, international factor α and domestic factor β are introduced to characterize the impact of global efforts and domestic efforts on GGDP.
Porphyry and Volcanogenic Massive Sulphide Ore Deposit in Canada
Authors: Jiang Ziyue
Published: December 2023

Canada is one of the leading countries in ore production that involves variety types of ore deposits. Among the significant ore deposits found in the country, porphyry and volcanogenic massive sulphide (VMS) deposits stand out as major contributors to the production of copper, gold, molybdenite, zinc, lead and many other essential minerals. Porphyry deposits are the major copper production in the country that are predominantly located in British Columbia, where subduction processes occur. While the overall mineral grade of porphyry deposits is relatively low, their immense tonnage makes them the largest reservoirs of copper in Canada. Notable porphyry mines such as Copper Mountain and Highland Valley Copper produce millions of tons of ore annually. On the other hand, VMS deposits, associated with volcanic activities, play a significant role in the production of zinc, copper, lead, gold, and silver. These deposits are distributed across Canada, with concentrations found in the Ontario and British Colombia. VMS deposits make up nearly a quarter of the country's copper production with significant mine sites including Kidd Mine and Windy Craggy. The future of the mining industry in Canada and the whole world should be focusing on sustainability. Sustainable mining recognizes the interconnectedness of environmental, social, and economic aspects and seeks to balance them for the benefit of present and future generations.
Application of Remote Sensing Technology in the Field of Lake Pollution Control and Monitoring
Authors: Huang Shiyuan
Published: December 2023

Lake pollution has always been one of the significant environmental concerns for humanity. This article explores the hazards of lake pollution and analyzes whether remote sensing technology is meaningful for monitoring and controlling lake pollution in the context of abundant remote sensing resources. The results show that remote sensing technology can help people monitor the pollution status of lakes and assess the effectiveness of their management more easily. This article investigates the role of remote sensing technology in eutrophication, organic pollution, and heavy metal contamination, along with the challenges faced. It also examines the application of remote sensing technology in lake degradation, restoration, and management. It concludes that remote sensing technology can indeed play a role in lake pollution monitoring and control, offering benefits such as reduced labor, time, and spatial costs. The article aims to find more reasonable ways to address lake pollution control and lake environmental management issues while minimizing the ecological impacts of lake pollution.
Research on Factors Influence the Migration of Pine Siskins
Authors: Yu Yun
Published: December 2023

Avian migration is a remarkable phenomenon, and the migration behavior of Pine Siskins serves as a fascinating example, offering insights into the complex interplay of external and internal factors that shape migratory patterns. The migration behavior of Pine Siskins is influenced by various factors, including food availability, climatic influences, intrinsic regulation, and social interactions. This facultative migratory species exhibits year-to-year variations in migration patterns, with movements driven by the availability of food resources. Seasonal expressions, such as quiescence and early morning activity, contribute to their migratory behavior. Food availability plays a critical role in their decision to migrate, while climatic dipoles shape their movement patterns. Social interactions also influence their settlement decisions. Physiological regulation involves endocrine signaling components, although differences between pre-migratory and migratory periods were not observed. Biological rhythms, such as photoperiod, contribute to the transition to a migratory state. Understanding these multifaceted aspects of Pine Siskins' migration enhances the knowledge of avian migration and provides insights into the adaptive strategies employed by migratory birds. Further research is needed to fully comprehend the complexities of migratory behavior and develop effective conservation measures for these remarkable avian travelers.
Study on the Impact of Global Warming on Parrots and Countermeasures
Authors: Huang Jinghan
Published: December 2023

Parrots, with their vibrant plumage and remarkable intelligence, play a crucial role in ecosystems worldwide. They contribute to seed dispersal, plant protection, and overall ecosystem functioning, influencing plant life cycles and contributing to ecosystem stability. However, the ecological importance of parrots is threatened by habitat loss and the impacts of global warming. As climate change intensifies, parrots face challenges such as shifts in geographical ranges, disruptions in synchronized relationships with plants, habitat loss, and increased vulnerability to extreme weather events. Effective conservation strategies are crucial for safeguarding parrot populations, including preserving key habitats, establishing protected areas, and implementing sustainable management practices. Tailored approaches, education, addressing land tenure issues, and promoting ecotourism are among the key solutions to mitigate the effects of global warming and protect these ecologically important birds.
Research on the Effects of Acid Rain and Improvement Measures
Authors: Jiang Wenxi , Han Yanxin
Published: December 2023

With the continuous development of industrial production, transportation and people's life all over the world, acid rain has become one of the major problems that seriously threaten the world environment. In this paper, the causes of acid rain, the effects of acid rain and the measures to control acid rain are studied. The influencing factors and forming process of acid rain were further expounded. Acid rain also affects buildings, animals, plants and humans to varying degrees - acid rain can cause different degrees of corrosion to buildings; Affecting the reproductive system of aquatic plants and causing egg defects in birds; It affects plant structure, physiological function and living environment. Therefore, in order to deal with acid rain, countries have implemented corresponding measures. This paper mainly introduces the Acid Rain Program (ARP) of the United States and the tax policy of Sweden. The treatment of acid rain is definitely not a simple thing, and people need to further explore more efficient and concise methods in the future. The purpose of this study is to clarify the serious impact of acid rain on society, economy and human life, and to arouse people's attention to acid rain and environmental protection.
Research on the Impact of Temperature on Spiders (Arachnida, Araneae)
Authors: Shi Rui
Published: December 2023

Spiders, in the order of Arachnids, play a very important role in nature. As the rapid climate changes nowadays, spiders are likely to be affected by changing weather. There are lots of studies discovering the impact of temperature on animals. However, they left a lacking of knowledge about the potential influence of temperature on spiders. Therefore, this article aims to provide a comprehensive account to better understand the relationship between temperature and spiders throughout their lives. The impact on spiders’ breeding was first described that the increasing temperature would increase the frequency of male mating behaviors, but the success rate of female mating was not determined as different results were got from two pieces of research. Secondly, the rising temperature could increase the fecundity and hatching rate of spider eggs. However, if the temperature continues to rise to a critical value, the spider eggs will stop hatching. On the other hand, the impact of temperature on spiderlings’ development is not fully proven, but the temperature will cause an impact on spiderlings' behavioral development. The impact on the social structure and population of spiders might not be driven by a single factor, temperature. Further study on more different species is required to expand the discovery across the whole spiders' population. This article gives the reader an overview of the effects of temperature on spiders, especially reproduction, so that people can more easily and intuitively understand these different effects, and provide some perspectives and possible directions for future research.
Effect of Acid Rain on Human Living Environment and Human Self
Authors: Zheng Zimeng
Published: December 2023

There have been countless scientists studying acid rain from the 1970s to the present, and of course, there have been reviews and studies of this kind, but these studies are not enough. The influence of acid rain on human beings, as well as the environment, is discussed in this paper. First, the production of acid rain is caused by a mix of human activities, as well as natural processes. Human activities like burning fossil fuels, industrial emissions, and transportation release pollutants such as sulfuric and nitric acid, as well as acid rain, are produced when sulfur dioxide (SO2) and nitrogen oxides (NOx) in the atmosphere combine with water vapor and oxygen. Acid rain creates a large bad effect to the ecosystem. It harms water bodies, soils, vegetation, and biodiversity. In addition, acid rain poses a threat to human health. Pollutants in acid rain can irritate the respiratory system and cause respiratory diseases. To combat the problem of acid rain, both individual and government efforts are critical. In the future, people need to develop technology and do more research to solve acid rain. The meaning of the essay is to let more people know about acid rain, how acid rain affect the world, and what human can do to solve acid rain.
Exploring the Optimal Extraction Conditions and Antibacterial Effects of Tea Polyphenols
Authors: Long Shiyu
Published: December 2023

Tea polyphenols are a general term for polyphenols in tea, which are a white amorphous powder that is easily soluble in water. It is well known that it has many functions, such as antioxidant activity, antibacterial activity, inhibitory enzyme activity and other physiological activities. And as a natural compound, tea polyphenols have good environmental friendliness, and as additives, they can help improve the current environmental pollution situation. Tea polyphenols have extensive application value in various industries, but there is currently a lack of research on their antibacterial properties when combined with daily chemical products. Due to the current lack of research in this area, this experiment used shower gel as an example to study the antibacterial effect of daily chemical products which are added tea extract. This article includes two experiments. One is study on the optimal extraction conditions for tea polyphenol, including two variables on temperature and extraction agent concentration. The other one is study on antibacterial effect of tea polyphenol, by combining variables on store temperature and concentration of tea extract solution, a total of 14 experimental conditions are set up, including the extract acting alone, and acting together with diluted shower gel, and the control group (water, diluted shower gel). The experimental study shows that the inherent content of tea polyphenols varies among different tea varieties and tea extracts is with good antibacterial properties. Generally speaking, the extraction effect at 80 degrees Celsius is significantly better than those at 50 degrees Celsius, and the content also changes with the extraction time. And tea extracts extracted with suitable extraction conditions shows the best antibacterial effect when diluted 100 to 200 times. This article aims to find better extraction methods and antibacterial effect, providing a new approach for the industrial application of tea polyphenols as natural bacteriostat.
Remediation of Heavy Metal Pollution in Soil by Biochar
Authors: Han Jiaxiao
Published: December 2023

Soil is an important resource for human survival and life, but with the economy and society developing, industrial pollution, agricultural chemicals, domestic sewage, and so on have entered the soil, causing serious soil heavy metal pollution. Soil pollution has concealment and hysteresis. Pollutants in soil are not easy to diffuse and dilute as in water and atmosphere, so they are easy to accumulate in soil and exceed the standard. Due to the demand for environmental protection, the restoration of soil is imminent. Under anoxic conditions, the solid material of the raw material after high-temperature pyrolysis is biochar. It is a soil improvement and adsorption material with high porosity and strong adsorption capacity, so it is widely used in soil remediation of heavy metal pollution. The essential concepts of biochar remediation of soil heavy metal pollution and the factors influencing biochar remediation of heavy metal polluted soil are therefore reviewed in this work and this paper also expounds on the advantages of biochar compared with other remediation methods such as phytoremediation and physical remediation.
Harmful Substances in Cosmetics and Impact on Ocean
Authors: Wang Nuoqi
Published: December 2023

The article expresses the toxicological profile of micro plastics, heavy metals and active ingredients on cosmetics. The focus is on pollution hazards to the biosphere, humans and the environment. Animals easily absorb plastic particles, which not only spread throughout the food chain, but have also been shown to exist in humans. While the micro plastics in cosmetic bags themselves can leach toxins into the ocean, synergies between micro plastics and other pollutants can increase the toxicity of micro plastics to living things. Cosmetics are also harmful in the use of processing additives, polypropylene like absorb organic pollutants. In the future, in order to reduce the environmental pollution of cosmetics, we should use green cosmetics and reduce the use of packaging bags.
Determination of Telomere Length to Infer Forensic Age
Authors: Wang Xinyu
Published: December 2023

Accurate age information is crucial for the identification of criminal cases in the field of forensics. Although the forensic age can be roughly estimated via bone age detection, there was no mature and reliable method for forensic age inference utilizing biological materials such as soft tissue fragments and no other markings left at the scene of the crime. Telomeres are cap-like structures found at the end of chromosomes in numerous tissues and cells and they are made up of repetitive sequences and binding proteins. This paper discussed the possibility of using telomere length to confirm the forensic age of a victim by concerning the biological characteristic of telomere and relevant techniques of length measuring. The structure of telomere enables it to prevent gene loss, fuse with other chromosome ends. Comparisons concentrating on the pros and cons of the existing measure of investigating the telomere are provided in this study by referring to those possible realistic scenes of the crime. As telomere length typically declines with every cell division as a result of the lagging strand's unsuccessful replication, the relationship between the shortening of telomere length and forensic are also shown for various types of cells. Further research in the field of investigating outliers in the pattern of shortening in telomere should be discovered and listed for various types of cells in order to make this method perfect and generalize it. This essay can provide some ideas for the study of telomere length inference of forensic age.
Appliance of Artificial Intelligence (AI) in Medical Field
Authors: Zhong Zixi
Published: December 2023

This essay is targeted to provide a summary about the basic mechanism of Artificial Intelligence (AI), appliance of AI in the medical field, and the issues in applying AI to the medical field. In the first part of the article, the mechanism of AI like machine learning, natural language processing, neural network, deep learning and machine vision/computer vision are briefly introduced. At present, AI could be applied in drug development, medical imaging, clinical trials, and diagnosis.  Then, the issues of applying AI to the medical field are summarized in the article. The issues contain social acceptance issues, ethical issues, and legislation issues. In conclusion, if these issues could be solved, AI could unleash its potentials in the medical field and have positive effects like increased efficiency, lowered costs, and more accurate results in medical research and healthcare.
Study on Regulation of Urban Heat Island Effect through Remote Sensing
Authors: An Jintao , Lu Tsz Ming , Ma Junhua , Qiu Tian
Published: December 2023

Globally, the heat island effect is a major environmental problem that has a considerable impact on metropolitan climate, energy use, urban planning, and human health. So controlling the urban heat island effect is essential. The satellite remote sensing technology plays an essential role in observing and studying the urban heat island effect, providing critical scientific and technological support for its regulation. This article examines the fundamentals of regulating the urban heat island effect as well as the crucial function of remote sensing satellites. A summary of the advantages of using remote sensing satellites to observe and analyze the urban heat island effect is given, along with a study of the characteristics of popular remote sensing observation techniques. The possibility of further advancement and use of satellite remote sensing technologies in reducing the urban heat island effect has also been raised. Research on the control of the urban heat island effect may use this article as a reference.
Analysis of Economic Indicators in Zhanjiang City during Epidemic Period Based on Remote Sensing Light Index
Authors: Gao Yuyan
Published: December 2023

GDP (Gross Domestic Product) reflects the economic power and market scale of a city, offering an important reference for political decision-making and national development. The luminous remote sensing plays an important role in exploring the city economic development, analyzing and forecasting urban GDP. The luminous remote sensing is a new method to evaluate and display macro issues of economic and social development. This article analyzes the correlation between the lighting index and the economic index GDP, and constructs the best linear regression model of the economic index of Zhanjiang, considering the impact of the Covid-19. Based on the regression slope of night light intensity before and after the Covid-19, this article analyzes the economic trend of Zhanjiang during the epidemic period. The results show that there is a significant linear correlation between the night light index and the socio-economic index, and the regression slope of the light can reflect the short-term economic trend and evaluate the city-level economic indicators well.
Treatment and Prospects of Industrial Wastewater with Biochar
Authors: Xu Chengliang
Published: December 2023

As the process of industrialization accelerates, finding effective methods for industrial wastewater treatment has become an important task in the field of environmental protection. However, despite the preparation methods and properties of biochar have been studied, its large-scale application in industrial wastewater treatment has not yet been fully understood and clarified. This paper first analyzes the industrial wastewater to be treated, and combines the mechanism of biochar in treating industrial wastewater, elaborates the cases of biochar applied in real life and the corresponding difficulties. The research results show that biochar is a material with good application potential for industrial wastewater treatment. Its high specific surface area and rich surface functional groups give it good adsorption capacity for various pollutants in industrial wastewater. In addition, the adsorption performance of biochar can be optimized by adjusting its preparation and application conditions. Future research should further explore the long-term stability of biochar in the treatment of industrial wastewater, as well as its application effect in the actual industrial environment. In addition, the development of efficient, economical, and controllable technologies for the preparation and application of biochar, and promoting its large-scale application in industrial wastewater treatment, are also important directions for future research. The research in this paper is of great significance for understanding and utilizing biochar for the treatment of industrial wastewater. The results not only help to improve the efficiency and effectiveness of industrial wastewater treatment, but also provide new ideas and methods for the high-value utilization of waste biomass. Therefore, this research has important theoretical and practical value for promoting the development of industrial wastewater treatment technology and achieving sustainable utilization of environmental protection and resources.
Biomass Resource Utilization and Carbon Emission Reduction Potential in Municipal Solid Waste
Authors: Chen Shiying
Published: December 2023

Under the background of global warming, waste biomass is regarded as a resource that can be an alternative to fossil fuels. Many researchers have been taking the way of utilizing biomass resources and the carbon reduction it brings as a new research direction. Municipal domestic waste (MSW), as one of the biomass sources, has also been emphasized for its resource utilization. This paper illustrates the importance of biomass resource utilization in MSW and three newer ways of resource treatment in the last decade. Then the carbon reduction potential is estimated. The results indicate that biomass resource utilization is clearly related to the current situation of global warming control. The three types of resource utilization in MSW are hydrothermal treatment, pyrolysis and anaerobic treatment, of which hydrothermal and anaerobic treatment are suitable for the resource treatment of kitchen waste in MSW, while pyrolysis can be directly used for the treatment of MSW. It is also predicted that when all kitchen waste is treated by anaerobic digestion and the rest of the waste is incinerated or pyrolyzed in 2025, it can bring nearly 100 million tons of carbon dioxide equivalent emission reduction. The carbon reduction potential is huge. This study provides a reference for the subsequent treatment of MSW and the prediction of its carbon emission reduction.
A research on subclassification of ancient glass based on FLDA and systematic cluster analysis
Authors: Hu Boshang , Fu Bolun , Han Zhaokang
Published: December 2023

For the purpose of subclassification of ancient glass, this study first used FLDA (Fisher Linear Discriminant Analysis) to classify the glass, in this study, unknown glasses of known composition were reasonably classified by model analysis with a high accuracy of 92.5%, and the classification pattern of the two types of glass was analysed statistically in conjunction with the data, and the results showed that the high potassium type contained high levels of K and Na chemical components; the lead-barium type, on the other hand, contains a high content of Pb and Ba chemical components. Next, a systematic clustering model was used for cluster analysis, avoiding the disadvantages of the K-means clustering model which is sensitive to outliers, and further analysed by a combination of clustering dendrograms and the law of the elbow in the line graph of aggregation coefficient. The analysis was further Integrated analysed by the law of the Elbow in the clustering dendrograms and the line graphs of aggregation factors. The final subclasses were concluded as follows: high potassium glasses can be divided into two subclasses, K2O-CaO (~10wt%)-SiO2 and K2O-SiO2; lead-barium glasses can be divided into three subclasses, PbO-BaO-SiO2, PbO (~25wt%)-BaO-SiO2 and CaO-PbO (~40wt%)-BaO-SiO2. The study of the subclassification of ancient glass is very helpful and influential for industrial applications. Through the construction of the classification and clustering model in this study, the subclassification division of ancient glass is well carried out, which has an important theoretical basis to support the work of identification and detection, and is of great significance for the study of the origin of ancient glass.
Calculation method of CO2 emission of thermal power plant in China
Authors: Li Guoyuan , Li Kaiqiang , He Yao
Published: December 2023

With the proposal of carbon dioxide peak in 2030 and carbon dioxide neutrality by 2060, more and more concern are shown in fossil fuel power plants. Since coal-fired power plant takes more than 90% in China of the power supplying side, discussion of how the CO2 trading quota is calculated and how to confirm the amount of CO2 seem emergency in CO2 neutrality area. This paper introduced the calculation method of CO2 trading quota and actual emission amount from the government document and present a calculation example with the operation data from a 300MW coal-fired power plant for reference.
Research on water supply model, technology, and management mechanism for villages in China
Authors: Hu Yanqi
Published: December 2023

China's village drinking water has poor protection of water sources, water purification technology and equipment, water supply pipeline network leakage rate, the high risk of secondary pollution, operation and management mechanism, and other issues. How to enhance China's village drinking water through the whole process of the amount of water and the ability to ensure water quality has become the current problem to be resolved urgently. The study summarizes China's village water supply model selection, conventional and non-conventional water sources of water supply key technologies and applications, as well as long-term management measures, and through the application of China's northwestern Gansu's Huanxian and southeastern Zhejiang's Shangyu District, summarizes the success of the experience of the different regional characteristics, and strengthens the leading demonstration. Relevant countermeasures and suggestions are put forward to realize the long-term operation of rural safe drinking water projects.
Enhanced Lotka-Volterra Equations: A Novel Approach to Investigate Plant Community Dynamics Under Varied Climatic Conditions
Authors: Su Yongji , Deng Zhiyuan
Published: December 2023

Amidst escalating climatic uncertainties, the adaptability of plant communities to varying drought frequencies and intensities emerges as a critical research domain. This study endeavors to decode the potential ramifications of such climatic extremities on plant community dynamics. By harnessing an augmented Lotka-Volterra model, we intricately weave in climatic variables, with a pronounced emphasis on drought indices, to forecast plant community trajectories. Our explorations divulged that specific drought scenarios significantly influence community resilience, with certain species compositions optimally enhancing community robustness. Moreover, through a judicious application of a genetic algorithm, we discerned an optimal species count that maximizes community biomass. This seminal work not only deepens our understanding of plant community dynamics under climatic vicissitudes but also paves the way for informed ecological and environmental policymaking.
Component Analysis of Ancient Glass Based on Neural Network
Authors: Zeng Rong , Zhang Yuheng
Published: December 2023

The weathering of glass relics is easily affected by the environment. In order to protect cultural relics, we have reduced the number of samples per cultural relic and the number of cultural relics sampled, resulting in limited and incomplete data. These incomplete data are used to predict whether the cultural relics have weathered and reveal the weathering law. It is of practical significance to study the weathering process of glass by analyzing the chemical components of glass. In this paper, the coefficient of variation method is used to extract the chemical components with high contribution rate to weathering and the missing values of each group of data are filled by hot card filling to obtain a set of sample data. Based on the known sample data, we fit the density function of random variables by kernel density and expand the sample size by random number function to design the input data of neural network. The expanded sample value serves as the training set of the neural network and the known sample set serves as the validation set of the neural network. Finally neural network is used for determination of weathering type of sampling points. The neural network designed in this paper realizes the high-precision estimation of weathering types of sampling points.
A Study of Weathering of Glass Artifacts Based on Spearman's Correlation Coefficient and Chi-Square Test
Authors: Du Xinyu , Li Xinying
Published: December 2023

Ancient glass is very susceptible to weathering by the influence of the burial environment, in order to determine whether the glass artifacts weathered with the type of artifacts, ornamentation and color and other characteristics of the relationship, this paper first identifies the correlation between the artifacts, the use of Spearman correlation coefficient of the artifacts of the ornamentation, the type and the color of the artifacts with the surface of the correlation between the weathering, and then the use of the fixed type of data of the difference between the analysis of the chi-square test. It was finally concluded that whether the surface of the artifacts was weathered or not was correlated with their decoration, type and color, while whether the surface of the artifacts was weathered or not was significantly different from their type. Finally, type was used as a fixed variable to determine the relationship between weathering of artifact surfaces and their decoration, color and total chemical content range. Weathered artifacts are then mapped one by one to unweathered artifacts through Euclidean distances, and the artifact with the smallest vector distance is used as a predictor of its pre-weathered chemical composition content.
Study On the Risk Level of Light Pollution Based on Principal Component Analysis
Authors: Luo Yifan
Published: December 2023

In this paper, based on the principal component analysis, the evaluation indication of light pollution is established, and the effective control strategy is put forward. Through the statistical analysis of a large number of samples, light pollution is divided into four risk levels: no pollution, mild pollution, moderate pollution and moderate pollution. Then, seven parameters affecting light pollution are selected, the parameters of four areas are statistically analyzed, and eight groups of data are obtained. Through the principal component analysis, the dimension of the three principal components is reduced, and finally the relationship between the grade score of light pollution and the three principal components is obtained. In this study, scores were used as a universal measure to determine the risk level of light pollution in a place. According to the analysis of this study, the intervention strategy is put forward, for New York, Shanghai, Beijing and other national central cities, economic development is a priority, enterprises and households use light is huge, the need to strengthen the detection of lighting equipment and the introduction of relevant policies. Similarly, economic development is not a priority for Shanghai suburbs and Yamagata counties, and businesses and households will reduce the use of lighting. Finally, for nature reserves such as Sanjiangyuan, the development goal is to ensure that the environment will not be damaged. As a result, the light pollution index in these areas is very low.
Subclassification Determination and Weathering Composition Prediction of Ancient Glass Artifact Compositions Based on Clustering Algorithms
Authors: Zhang Jingqi , Wu Zhiyuan , Lin Yi
Published: December 2023

Ancient glass is susceptible to environmental weathering, and the content of chemical elements varies with the degree of weathering. Through the correlation analysis of weathering degree and color, pattern and composition by Chi-square test, it is found that the weathering degree of glass surface changes based on composition and color, and pattern has little correlation. The principal component analysis of the glass is based on different chemical compositions and whether the glass is weathered or not. Through the supervised learning k-means algorithm, four types are obtained: unweathered high potassium glass, weathered high potassium glass, unweathered lead barium glass, weathered lead barium glass; Further, the glass is classified into 9 subclasses based on the content of other elements to facilitate the study. The cloud model was used to predict the composition of cultural relics before weathering, and the relationship between the main chemical composition of high-potassium glass and lead-barium glass before weathering was obtained, which was convenient for subsequent research and restoration of cultural relics.
Harm Of Discharging Fireworks and Harm Reduction Measures
Authors: Li Jiujiu
Published: December 2023

In recent years, there has been greater awareness and concern about the impact of pollution from fireworks on the environment. The main research objective of this paper is the impact of fireworks on the earth environment. This paper will talk about the advantages and disadvantages of setting of the fireworks during holidays. Besides, this study will analysis that do people still encourage people to emit the pollution by fireworks under this bad condition of earth. The result shows in two different way. One the one way, fireworks burn produce a lot of harmful substances, including chemicals, particulate matter and heavy metals, which can negatively affect air and soil quality. And sulfide in fireworks can easily lead to acid rain. Secondly, particulate matter emitted by fireworks directly effects atmospheric quality and body health. When particles enter the respiratory tract, they can cause respiratory problems such as asthma, bronchitis, and other respiratory diseases. In addition, fireworks emissions also cause noise pollution. On the one side, human have to admit that setting of the firework give us a vibe that everybody immersed themselves in that merry and people get power from it. In this essay, a lot of research were studied to solve the problem of general effect of fire setting of fireworks to the plant, to human life, to the air, to the physical and mental health of human body, and to the waste of the natural resources. Everyone look forward to find a better way to solve this big issue ,everyone should have a deep thinking to create a feasible solution together in order  to avoid environmental crisis that might happen in the future.
Clinical Applications of Adeno-Associated Virus Gene Therapy in Rare Diseases
Authors: Hu Ruiqin
Published: December 2023

This paper provides a comprehensive overview of adeno-associated virus (AAV) gene therapy, a revolutionary approach that has shown promise in treating various genetic disorders. The therapy uses a harmless virus to deliver a functional copy of a defective gene to patient cells, thereby correcting the underlying congenital defect. AAV gene therapy is first discussed in the context of three specific diseases: Duchenne muscular dystrophy, Spinal Muscular Atrophy, and Huntington's disease. AAV gene therapy has been demonstrated to improve disease progression and patient quality of life in some cases, based on existing findings and arguments. In addition, we acknowledge the high cost of these therapies, which can range from $850,000 to $3,500,000, which limits their wide application. Although there are high costs associated with AAV gene therapy, the benefits, such as improved patient survival and quality of life, often outweigh them. Based on a study on the cost-effectiveness of AAV-mediated gene therapy for severe haemophilia B, the therapy was found to be more cost-effective than alternatives in most cases. Despite its potential for treating genetic disorders, AAV gene therapy poses a significant financial challenge due to its high cost. To make the therapy more accessible, future research should focus on reducing these costs. AAV gene therapy's long-term effects and safety require further investigation, as do its long-term safety concerns.
High-temperature Mechanical Analysis of Discharge Pipeline of Pressurizer
Authors: Wu Yingxi , Huang Qingran , Sun Jinxiong , Wang Mingyu , Wang Shuqiang
Published: December 2023

The severe accident is the beyond basis design accident due to several initial faults. The discharge pipeline of pressurizer is mainly used for pressure relief and evacuation of hydrogen in the primary circuit in severe accident. It can reduce the possibility of high-pressure core melt and the explosion of hydrogen. But in severe accident, the highest temperature of gas in the pipeline can reach 1200℃, which far exceeds the design temperature of pressurized water reactor. So it may cause the buckling or rupture of the pipeline. The pipeline may loss its discharge function.   In this passage, we study the resistance of the discharge pipeline to high temperature in severe accident from the aspects of severe accident situation, high-temperature mechanical properties of pipeline material, the temperature field and stress of the pipeline, the evaluation of the stress and so on. In order to demonstrate the function of a certain nuclear power plant discharge pipeline, RCC-MR which is suitable for the high-temperature evaluation, is choose to evaluate the stress, the creep and the buckling of the pipeline. The results of the evaluation show that the discharge pipeline in this nuclear power plant can meet the functional requirements in the severe accidents.
Numerical simulation and optimization of the flow field in the passenger cabin of a vehicle
Authors: Wu Bingheng , Chen Lin , Yuan Xiayi
Published: December 2023

The thermal comfort of the car passenger cabin directly affects the feelings of the driver and passengers. In the case of high ambient temperature in summer, air conditioning cooling is an important means to improve the thermal comfort of the passenger cabin. If the design of the air conditioning outlet is not reasonable, the thermal environment inside the car will not be improved, the passengers will feel uncomfortable and affect the safety of driving, and it will also cause the waste of energy. In this paper, we calculate the flow field distribution in the vehicle by numerical simulation method and optimize the air conditioning vent arrangement of a model, which greatly improves the thermal environment of the vehicle and enhances the thermal comfort of passengers.
The Critical Threshold of The Relationship Between Take-Off Load And Powertrain Load of the Aircraft
Authors: Yao Yiqi
Published: December 2023

The critical threshold of the relationship between take-off load and powertrain load of the aircraft has long intrigued researchers and posed significant challenges. Delving into this subject, extensive research has been conducted to comprehend the intricate dynamics between these two variables. This thesis aims to contribute to this ongoing investigation by analyzing and drawing conclusions based on observed load variations and their impact on power system functionality. The study encompasses a comprehensive examination of various aircraft types, ranging from ultralight aircraft to wide-bodied aircraft and Unmanned Aerial Vehicles (UAVs). Each aircraft category presents unique characteristics and demands distinct engine requirements, further complicating understanding the take-off load to powertrain load relationship. By meticulously studying the changes in loads during the crucial take-off phase, this research aims to uncover valuable insights into the essentiality of an efficient power system. The findings of this study have the potential to enhance aircraft design and operations, ultimately leading to safer and more optimized flight experiences.
The Application of Fluid Mechanics in The Research of Classic Car Design In BMW
Authors: Chen Leyan
Published: December 2023

Since Thomas Newcomen invented the world's first steam engine in 1712 and applied it to automobiles for the first time in 1769. For the next 100 years or so, efforts were made to increase the horsepower of automobiles until 1889 when people realized the importance of aerodynamics and began to take it forward. This article will study the design and interpretation of the shapes of some devices that help to reduce the air drag coefficient of an automobile and the principles behind them, based on the principles of hydrodynamics, Bernoulli's principle, the vortex principle, and the boundary layer principle. This paper follows the logic of juxtaposition. From the design used by BMW on its classic models, it presents the effect of different accessories on the wind resistance of the vehicle. The improvement of the aerodynamics of the car with designs such as the rear wing as well as air intakes on the aerodynamics of the whole car is identified. It is hoped that the arguments derived in this paper will help automotive practitioners in their designs.
Simulation Of Startup Speed of DC Motor Using PI And PID Control
Authors: Yang Zishuo
Published: December 2023

Proportional-Integral (PI) control and Proportional-Integral-Derivative (PID) control have found widespread application across various disciplines. This article focuses on the impact of PI and PID control on the startup speed of the Direct-Current (DC) motor. By setting up a simulation circuit and simulation module, the gain parameters of the control module are adjusted to obtain different output results. The simulation circuit will involve the DC motor, the control module, and the desired speed input. By adjusting the gain parameters of the control module, the behavior of the motor's startup speed can be simulated and observed. For PI control, increasing both the proportional gain and the integral gain proportionally can lead to shorter settling time and smaller overshoot in the output response. For PID control, increasing the derivative gain can significantly reduce the settling time without causing a significant change in the overshoot. When comparing PI and PID controllers, the addition of the derivative term can improve the output performance. By simulating different control modules and adjusting the gains, it is possible to qualitatively identify controllers with better control performance and more suitable gain parameters. This provides insights for the future design and application of DC motor control modules.
PI Control Technology Principal Analysis and Simulation
Authors: Huang Haihang
Published: December 2023

As the requirements for control accuracy and speed increase, proportional-integral (PI) control systems can better achieve stable control. Proportional-integral (PI) control is widely used in modern industry because it has the characteristics of block speed and high accuracy. However, the performance of proportional control systems with different parameters varies greatly in different usage scenarios, and the behavior of PI control systems can be observed and adjusted in advance through computer simulation and modeling. This process can be optimized in advance by observing the response performance of the PI control system, thus reducing the development time and helping to improve the development efficiency in actual engineering. This paper explains the basic principle of PI control from the basic mathematical principle, and simulates the specific behavior of PI control system under different regulation parameters and shows the zero-pole distribution and step response of PI controller under different states and analyzes the application of PI control system in real engineering.
Improving Electric Vehicle Performance Through Analyzing and Applying PI Control for Torque Regulation
Authors: Wen Yijun
Published: December 2023

Efficient control of torque in Electric vehicles (EVs) is crucial for achieving optimal performance, enhancing energy efficiency, and ensuring a smooth driving experience. The development of effective control strategies for electric vehicle torque control has become an active area of research and development in the field of electric mobility. This paper explores the theory and application of PI control in the context of electric vehicle torque control. The design and simulation of a control system using Falstad software are presented, along with the corresponding circuit diagrams and output waveforms. The study investigates the impact of different proportional ( ) and integral ( ) control parameters on the performance of the control system. The results demonstrate the trade-off between control accuracy, overshoot, and steady-state error elimination. Furthermore, the paper discusses the limitations of proportional-integral (PI) control in electric vehicle applications and provides an outlook on potential alternatives such as proportional-integral-derivative (PID) control, neural networks, and fuzzy control. The findings of this study contribute to advancing the understanding of torque control in electric vehicles.