bluuebunny/crossref_metadata_2025 huggingface dataset:
The impact of coffee in athletics: a comprehensive review of its components, sensory attributes and implications for sports health
Authors: He Runqing
Published: December 2023

This comprehensive review explores coffee’s diverse impact on athletics, covering its bioactive elements, sensory qualities, and effects on sports performance and health. It examines coffee’s potential benefits and challenges in sports health, encompassing physical fitness, mental well-being, nutrition, injury prevention, and recovery. The review first investigates key bioactive compounds in coffee, including polyphenols (e.g., caffeic acid, chlorogenic acids), caffeine, and bioflavonoids. It discusses how these compounds contribute to enhanced sports performance and overall health. The review highlights caffeine’s impact on alertness, endurance, and recovery, emphasizing optimal dosages and potential discomfort at higher levels. Additionally, it underscores the antioxidative properties of chlorogenic acids, which can mitigate oxidative stress and inflammation, supporting neuronal protection and injury recovery. The sensory experience of coffee, including taste and aroma, is also explored for its psychological influence on sports performance and health. The review addresses potential risks linked to coffee consumption, emphasizing the importance of moderation in the context of sports health. Concluding, the review identifies research gaps and suggests areas for future exploration. This comprehensive analysis underscores coffee’s multi-dimensional role in athletics, spanning its bioactive components and sensory qualities, shedding light on its potential to enhance sports performance and overall well-being.
Impacts of climate change and human activities on runoff in the Luan River Basin
Authors: Xiong Kemin , Zhang Haozhe , Tang Juntao , Zhang Yilin , Zou Sihan , Dong Liuliu , Gao Jie
Published: December 2023

The M-K test and double accumulation curve method were applied to analyze the impact of human activities and climate change on the runoff changes in the study area. The results show a significantly decreasing runoff trend in the study area, with the calculation model of climate change impact and double accumulation curve models. We can get that the impact of human activities is 36.28 mms in the process of runoff change in the Luan River Basin. Its contribution rate is 62.59%, much larger than the impact of climate change, 37.41%. The effect of human activities is the main factor leading to the decrease of runoff in the Luan River Basin.
A study of forest management plans based on single-objective optimization
Authors: Zheng Tianyu , Zhang Zhicheng , Chen Jialun , Chen Yutong , Gong Ziyi
Published: December 2023

The global decline in forest area and massive greenhouse gas emissions have increased concern about the scale of forest carbon sinks, but the social value of forests as a source of timber and of forests themselves for tourism is also a focus of attention. The balance between forest carbon sinks and other values becomes a research question in this paper. We propose a forest management plan for forest managers by developing a carbon sink model and a forest management decision model. First, we developed a carbon sequestration model to determine how much carbon dioxide can be sequestered by the forest and its products over time. Then, we developed a single-objective optimization model with the goal of maximizing the amount of carbon sequestered. To develop a forest management plan, we selected six influencing factors: carbon storage, forest trees and their products, biodiversity, soil water storage, climate regulation, and landscape value, and then used hierarchical analysis to determine the influence weights of each factor, and then built a forest management decision model based on the single-objective optimization model. For specific forests, we initialize the model with specific parameters of the influencing factors and determine the transition points so that the model can be suitable for diverse forests and make a targeted management plan.
Research on Light Pollution System Based on Innovative Evaluation Method and Particle Swarm Optimization Grey Prediction Method
Authors: Wang Zexuan , Zhao Yifei , Ye Kaiwen
Published: December 2023

The control of light pollution is an important part of people's urban health. An accurate index system of quantitative light pollution level is of great significance for controlling light pollution, saving energy, and improving social happiness index. After obtaining the combined weight evaluation model, in order to verify the reliability of the index system in various regions, based on the grey prediction theory, combined with the advantages of PSO algorithm in model accuracy and predictability, the light pollution risk level in Shanghai was evaluated and predicted, and specific intervention strategies for light pollution remediation were proposed.
Study of Global Temperature Levels Based on the ARIMA Model
Authors: Yuan Yu , Huang Haidong , Wen Shuangquan
Published: December 2023

The continuous growth of global carbon dioxide content has exacerbated global warming [1]. Based on this issue, this article mainly studies global temperature levels based on the ARIMA model. This article first uses data collection and preprocessing to determine whether the global temperature increase in March 2022 has led to a greater increase than the past 10 years. Then, ARIMA and seasonal ARIMA are established to describe the past and predict the future, predict the specific time when the average temperature reaches 20℃, and test the accuracy of the model. Finally, it is concluded that seasonal time series prediction is more accurate. For this study, this article first collects and completes the required temperature data for visual analysis. And independent sample t-tests were conducted on the two rising scenarios, and the results did not lead to a greater increase. Then the chapter describes the past data through the Run chart, and uses ARIMA and seasonal ARIMA to predict the future global temperature level [2]. Afterwards, this article adopts pre analysis on the data used and uses a predictive model to calculate the specific time to reach 20℃. The study found that the average temperature could not reach 20.00℃ in 2050 or 2100, but reached 20℃ in 3062. Finally, based on the data description and the characteristics of the data itself, this article demonstrates that seasonal ARIMA is more accurate.
Light pollution risk rating based on linear dynamic discrete model
Authors: Feng Kexin , Zhang Shiyun , Qian Runyang
Published: December 2023

Nowadays, with the development of modern society, it has been more and more difficult for us to see the stars at night[1]. What shaded them? The answer is the “evil light”--light pollution. According to the study, light pollution not only harms people's physical health but also their mental health. To solve this problem[2], a model was created to classify and mark the level of light pollution in any place in the world. Its essence is a deterministic dynamic linear discrete model. This paper first studied different kinds of formula related to the treatment on soil and water. Then this paper compared the characteristics of the light pollution with them and found the differences and similarities which can improve our formula. Finally, to get a obtain a widely applicable index system, a linear weight formula was created, which is for light pollution only. Besides, created the optical intrusion formula and the average glare intensity formula. After comparing with the linear weight formula, the paper choosen the linear weight formula for its flexibility and wide use. Secondly, to make the model more accuracy, the paper selected factors that have strong impact on the light pollution. There are too many factors that can influence the light pollution, though some of them only take a little part in. The paper used the Topsis and factor analysis to find out the factors and their weights. Then this paper developed a scoring system based on the data provided by government. Finally, after searching the data for 57 protected areas, 67 rural communities, 64 suburban communities and 76 urban communities and applying them to the model and calculating, we got the final degree for each samples. And the average marks for each kind of place are0.83,0.69,0.51and0.18(preserve two decimal places). The results are very close to the reality and we used the optical imaging to help you better understand them.
A Comprehensive Approach based on GIS-LP model on Light Pollution
Authors: Shengchang Li , Ziyu Guo , Huize Cheng
Published: December 2023

The escalating global concern over light pollution necessitates a comprehensive framework for effective control measures. This paper proposes a novel approach by establishing an evaluation index model. Direct impact factors are graded through GIS analysis, while LP-AHP and LP-IEW models determine the weight of indirect factors. A comprehensive risk index is derived by combining these approaches using Euclidean distance. The evaluation index model is applied to analyze protected land, rural, suburban, and urban areas, resulting in the creation of a light pollution risk level distribution map.
Study On Metallogenic Regularity and Metallogenic Prediction of Antimony Deposits in Western Yunnan China
Authors: Yang Jianbo , Xia Guoti , Fan Ligang , Wang Chaoyong
Published: December 2023

West Yunnan is the Amain enrichment area of antimony resources in China. Therefore, this project comprehensively uses new geochemical methods such as geochemistry, secondary halo, electric adsorption, soil ion conductivity, and soil adsorption phase to extract the closely related electrical properties, ion conductivity, soil adsorption phase and other multivariate valid data. In ore near the range of soil ion conductivity anomaly and soil adsorption phase mercury, there is a significant ion anomaly in the peaks of electrical extraction of As, Sb, Ag and other elements, but the amplitude of this ion anomaly is larger than that of conductivity The rate anomaly and the amplitude of soil adsorption phase mercury are small. The research results of this paper can be used as a reference for the metallogenic regularity and metallogenic prediction of antimony resources in western Yunnan.
Plant Community Succession Based on Metacellular Automata Modeling
Authors: Song Linkang , Yang Xinke
Published: December 2023

To explore the relationship between the number and type of species in a plant community and the community's adaptation to arid environments, we developed a cellular automata model that maps the various factors involved in individual plants in the community to a basic model, and we used the model to establish a direct relationship between individual attributes and the overall phenomenon, describing changes in the plant community over time. We used an iterative approach of global probability maps to study competitive relationships and reproductive processes among plants. Specifically, we consider not only the local state around individual cells, but also the global state of all cells in the entire simulation space, which will make it easier for us to consider the scope of influence of individual plants, facilitate the overall planning of plant reproduction and interspecific competition, and simplify the model while ensuring simulation.
Application of Remote Sensing in Desertification Monitoring
Authors: Xu Haoyang
Published: December 2023

Desertification has become one of the greatest international concerns in recent decades. This study mainly focuses on the significance and necessity of applying remote sensing to improve efficiency in desertification monitoring. Results show that applications of remote sensing in desertification monitoring have shown advantages and promises of development in the future. Satellite images and unmanned aerial vehicle technology are two major sources of remote sensing data. This study also contains specific applications of remote sensing techniques, including normalized difference vegetation index (NDVI), land cover classification, and spectral mixture analysis (SMA). NDVI measures the vegetation cover to reflect potential desertification but fails to offer a comprehensive picture of the desertification status of an area. While land cover classification identifies different types of land use to monitor desertification, track changes over time, and find potential environmental stressors, the technique requires huge investments in technology and labor. SMA, the sub-pixel classification technique, provides a detailed analysis while consuming significant computing resources and time. This study also provides prospects for future developments of data acquisition and analysis approaches in desertification monitoring using remote sensing. Making suggestions on future research topics and possible methodologies, this study hopes to inspire further research in this area to better deal with the global issue of desertification.
Application and Outlook of Remote Sensing Technology in Water Environment Monitoring
Authors: Liu Haozhe
Published: December 2023

Water environment monitoring is a critical tool for effective environmental protection and management. However, traditional methods often fall short in meeting the requirements of large-scale and real-time monitoring. To overcome these limitations, remote sensing technology has emerged as a non-contact, rapid, and efficient approach, playing a pivotal role in water environment monitoring. This paper provides a comprehensive overview of the principles and methodologies employed in remote sensing technology for monitoring water quality pollutants, detecting changes in water bodies, and preserving wetland ecosystems in the context of water environment monitoring. The practical application and significance of remote sensing technology are exemplified through a range of specific case studies. Moreover, the paper analyzes the existing status and challenges of domestic water environment remote sensing monitoring, while also presenting future development directions. The research and application outlined in this paper serve as a valuable reference, driving innovation and progress in water environment remote sensing monitoring in our country. Additionally, the findings of this study are of great significance in improving the efficiency and effectiveness of water environmental protection and management, as well as promoting the wider application of remote sensing technology within the environmental domain.
Changing of Land Use Type and Structure of Production in Pudong District, Shanghai, China Since Opening
Authors: Li Yuankang , Yu Mingtao , Zeng Ruiming
Published: December 2023

Since the opening of Shanghai's Pudong New Area in 1990, Pudong has transformed its previously poor and backward appearance by introducing a large number of advanced manufacturing and service industries, making it the largest region in Shanghai in terms of economic output. Currently, due to the changing economic conditions in China, the development of the Pudong area needs to focus more on land intensification and industrial modernization, actively using stock resources for development and adjusting policies to respond to the changes in each industry. Therefore, by analyzing the changes in land area and output value of each industry in Pudong and the changes in the economic structure of Pudong, this paper concludes that the share of agriculture in the total economy of Pudong is decreasing year by year, the total amount of heavy industry exceeds that of light industry, the financial industry is growing as the pillar industry of Pudong, and the import volume is larger than the export volume. The conclusion is that Pudong should improve the level of agricultural production, increase the proportion of heavy industry in the development, improve the bank supervision policy and increase the imports to cultivate trading partners. These ideas will serve as a guide for the future quality development of Pudong and as a reference for new urban districts in domestic and foreign cities.
Climate Change Impact on Bird Reproduction
Authors: Wang Tianconghui
Published: December 2023

Climate change is a popular topic with increasing attention recently. It is impacting many organismal processes harming some species and also benefiting some others. Birds are playing an important role in the diversity of species because they are highly mobile and are able to distribute in a wide range with smaller populations. However, climate change is impacting a lot on this animal category, especially their reproduction. This article reviewed several previous studies of climate change's impact on birds, particularly on the impacts on their reproductive processes of mating, nesting, and breeding. The aim is to make a summary of what climate factors are influencing birds on their reproduction and investigate and find out the insufficiency of current research on climate change factors. From summarizing the past experiences of bird reproduction, future studies will be able to make clear and accurate predictions on the impact of changing climate on the dynamic of birds’ diversity and richness.
Application of Remote Sensing for Karst Rocky Desertification in Southwest China
Authors: Bian Jiangpan
Published: December 2023

Karst rocky desertification (KRD) is a special kind of desertification occurring in karst areas, which has caused a great impact on the natural environment, economy, and society in southwest China and has received wide attention from the government and researchers. Remote Sensing can monitor large area, and has fast and accurate data acquisition capability, which provides the scientific basis for evolution analysis and subsequent management of KRD and lays the foundation for conducting related research. This paper analyzes the application of Remote Sensing in the study of KRD in southwest China. Firstly, it introduces how Remote Sensing was used in the assessment of the severity of stone desertification, as well as the commonly used models and research ideas, summarizes the advantages and disadvantages of each model, and explains the advantages of using Remote Sensing. Then, the paper introduces how Remote Sensing was applied in the study of the correlation between geological factors, vegetation factors, and human factors and rocky desertification. Finally, the paper summarizes the possible prospect using Remote Sensing to assist KRD study. This paper expects to inspire researchers by summarizing and analyzing the common ways of Remote Sensing in the study of KRD in southwest China and hopes to enrich the Remote Sensing’ s usage to assist in the study of KRD in southwest China.
Study on the Impact of MODIS-derived NDVI and NDBI on Land Surface Temperature
Authors: Luo Jianxing
Published: December 2023

With the development and expansion of cities, the increase in built-up area and the drop in vegetation coverage have significant influences on the climatic environment of urban areas. This study processed Moderate Resolution Imaging Spectroradiometer (MODIS) data from four months in 2001 to investigate the Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-Up Index (NDBI), and Land Surface Temperature (LST) in the Chengdu region. This paper explored the correlation between NDVI and LST, as well as the correlation between NDBI and LST. The findings revealed that areas with higher NDBI, indicating a greater extent of urban built-up areas, exhibited higher daytime and nighttime LST, indicating a more pronounced urban heat island effect. Conversely, an increase in vegetation cover was found to lead to a decrease in surface temperature and a certain degree of mitigation of the urban heat island effect. Furthermore, a good linear relationship was observed between NDBI and LST, with a stronger correlation during the daytime compared to the nighttime.
Effect of Climate Change on Arctic Fox (Vulpes/Alopex Lagopus)
Authors: Xu Zhichen
Published: December 2023

Under the context of climate change, global warming, arctic regions are undergoing a rapid pattern transformation. This paper investigates the link between global warming and arctic fox (Vulpes/Alopex lagopus). This paper focuses on changes in environment. This paper deals briefly on the consequences of climate change and its impacts on various ecosystems in arctic regions. By the in-depth study of the arctic fox traits and compare between regular patterns and features after climate change, it’s clearly to see how much extent the arctic fox is influenced by climate change. This research focus on different characteristics of arctic fox, which are habitat and distribution, coat color change, changes in diet and diseases related to arctic fox cause by climate change. Those are the direct factors that allow people to recognize how climate change is affecting the Arctic fox. This research not only study the direct climate change impacts, as well as the interaction between species. Climate changes in arctic ecosystems alter the ordinary interactions between species in a large extent. The changes in habitats competition and predatory relationships are caused by the species interaction straightforward by the influence of global warming. By analyzing the arctic fox in a broader aspect, people can have a better understanding the challenges that arctic species facing and how arctic fox adapt to new environment successfully. After people become more aware of the severe situation among arctic, they can gain more valuable insights of arctic species adaptations and make effective solution in conservation and protection. Knowing the adaptations of arctic fox is essential for conservation strategies, preservation of arctic biodiversity and maintenance of ecosystem stability.
Research on Ecological Effects of Microplastics and Removal Methods
Authors: He Xinnuo
Published: December 2023

In recent years, with the continuous accumulation of microplastics (MPs), the environmental pollution caused by MPs has become increasingly serious. In this paper, whether the accumulation of MPs will cause serious damage to the ecological environment and organisms and if harm is caused, how to eliminate it are analyzed. The results show that MPs are mainly produced by human activities, which have caused pollution to the water environment, soil environment and atmospheric environment. MPs destroying the water cycle, enriching heavy metals in the soil and aggravating the greenhouse effect indirectly threaten the organisms living in the environment. Due to the large amount of MPs enrichment, the survival rate of soil animals and aquatic animals is decreasing year by year, their growth and development are seriously inhibited, and the living conditions are becoming difficult. Because of the blockage of MPs, the ability of plant roots to absorb water is greatly reducing, the activity of various enzymes in the plant body is decreasing, and the efficiency of photosynthesis is affected. As the highest trophic level, humans are naturally not immune to the harm of MPs. The higher the trophic level, the more enriched the content of MPs, which poses a great threat to health. In the future, the elimination of MPs will become a focus of attention. The existing physical treatment method, chemical treatment method and biological treatment method should be improved and reasonably combined to achieve the optimal treatment effect, hoping to reduce the harm of MPs as much as possible.
Effects of Ocean Acidification on the Marine Organisms
Authors: Sun Yuan
Published: December 2023

Climate change is a severe environmental issue which can mainly be caused by anthropogenic activities like deforestation. It can cause another severe environmental issue called ocean acidification. It is worth seeking how ocean acidification occurs and how ocean acidification affects marine organisms including marine animals, marine plants and marine microorganisms. The increase of atmospheric carbon dioxide can be a dominant driver of ocean acidification. Ocean acidification can adversely influence marine animals like oysters. It can also either cause positive or negative impacts on marine plants. Marine microorganisms and marine biodiversity can also be sensitive to ocean acidification. Multiple strategies can be implemented to mitigate ocean acidification such as atmospheric carbon dioxide removal, growing of coastal seagrass, educational activities, and cultivation of marine submerged aquatic vegetation. However, the effectiveness and efficiency of mitigation strategies still need to be tracked in the long term. The quality of data collection for implementing the mitigation strategies is essential to determine and predict the response of the ocean towards to mitigation of ocean acidification.
Application of Biochar for Organic Pollution Control and Energy Storage
Authors: Chen Jing , Wang Junqiang
Published: December 2023

Against the backdrop of a growing global climate problem, Against the background of a growing global climate problem, the research on biochar resource utilization is of great importance and urgency. This paper investigates the physical and chemical properties of biochar and its preparation method, and analyzes its principle, application and development prospect in organic pollution control and energy storage. Biochar, due to its large specific surface area and high specific electric capacity, has higher capacitance and charging/discharging stability and lower production cost as graphite electrodes for graphite batteries compared to traditional materials. Biochar is ideally utilized in the field of energy storage. The research and application of biochar is not only helpful for the utilization and transformation of traditional fossil fuel to renewable and clean energy, but also an ideal development area for the rational improvement of soil pollution and the rational disposal of bio-organic wastes.
Preparation and Modification of Biochar and Application of Modified Biochar in Remediation of Contaminated Soil
Authors: Duan Yixiao
Published: December 2023

Biochar, with its unique properties including high specific surface area, has become an increasingly popular material in the field of environmental restoration. The present paper provides a systematic analysis and summary of the preparation, characterization, and modification strategies for traditional biochar, as well as its application in soil remediation. A variety of different methods have been developed and applied to produce biochar, of which the most commonly used method is pyrolysis which consists mainly of slow and fast pyrolysis, followed by hydrothermal carbonization. Biochar can be modified by the injection of acids, alkalis, metal oxides, metal ions, steam and gas. On this basis, the utilization of modified biochar in soil restoration and remediation was further analyzed. Modified biochar breaks through various limitations such as the instability of traditional biochar, and performs an irreplaceable function not only in adsorption of organic pollutants, but also in the removal of heavy metal pollution. Additionally, managers also need to avoid the potential risk of secondary contamination by releasing polycyclic aromatic hydrocarbons (PAHs) into the surrounding environment. The aim of this paper is to explore the basic properties and preparation methods of biochar, to identify its restrictions and different modification methods, to highlight the contribution that modified biochar can make to today's sustainability-focused world, and to lay the groundwork for future research.
Application of chitosan-based materials in wastewater treatment
Authors: Zhu Ying
Published: December 2023

Chitosan, as a natural polysaccharide material, plays a great role in the field of wastewater treatment due to its good biodegradability, antimicrobial activity, and other properties. However, it may have some differences in the processes of adsorption, flocculation, and membrane separation. We comprehensively describe the application effect and mechanism of action of chitosan-based materials on the above three major water treatment processes. In the adsorption process, chitosan-based adsorbents such as hydrogels and chitosan beads are prepared by cross-linking, impregnation, and the introduction of functional groups. These chitosan-based materials exerted efficient removal performance in the adsorption of heavy metals, organic dyes, anionic pollutants, etc., which was attributed to their large specific surface area and abundant functional groups. In the flocculation process, the chitosan-based materials were modified by grafting and modifying their shape, while heavy metal ions, organic dyes, and algae were removed using processes such as chelation and charge neutralization. In the membrane separation process, a number of nanofiltration and microfiltration membranes were created by coating chitosan ions, and physicochemical modification was done for the separation of heavy metal ions and emulsified oil droplets in water to improve the fouling resistance and retention rate of the membrane materials. This paper reviews the application of chitosan-based materials in wastewater treatment and proposes that in-depth studies on their toxicity and reusability should be conducted in the future, with a view to playing a role in areas such as the removal of malodorous water odors.
Composition Analysis and Subclass Division of Ancient Glass Artifacts Based on R-Q Type Clustering
Authors: Yang Boyao , He Yue , Wang Ruijuan
Published: December 2023

The Silk Road served as a conduit for cultural exchange between ancient East and West, with glass being a valuable material evidence of early trade interactions. Archaeologists have classified ancient glassware primarily into two categories: high-potassium glass and lead-barium glass. This study focuses on the sub-classification of high-potassium glass. Firstly, the high-potassium glass is divided into two major categories, weathered and unweathered, based on their weathering properties. Subsequently, the R-Q clustering algorithm is employed to further subdivide the unweathered high-potassium glasswhile the same approach is applied to the weathered high-potassium glass. The results are validated through rational analysis and can be applied to other types of ancient glassware.
Modeling Of Plant Population Community and Biodiversity Based On Differential Equation Model
Authors: Xu Yuhan , Ye Runshi
Published: December 2023

Understanding the adaptive mechanisms of plant communities under drought conditions is crucial in the context of global climate changes. Drought resilience is intricately linked to the biodiversity within these communities, specifically, the number of species present. This research delves into how the diversity within plant communities influences their adaptation mechanisms when confronted with recurrent drought cycles over consecutive generations. To fathom the long-term dynamic interplay between plant communities and their environment, we devised a model. This model harnesses the power of genetic algorithms to optimize parameters, ensuring a comprehensive representation of ecological realities. Notably, it accounts for species migration, inter-species competition, and a myriad of other ecological factors. Consequently, our model can predict with commendable accuracy the evolutionary trajectory of plant communities when subjected to diverse and irregular weather patterns. Our findings not only shed light on the importance of biodiversity in ensuring ecological resilience but also provide invaluable insights for conservation strategies in the face of changing climate scenarios.
Design And Implementation of Smart Pet House Temperature Monitoring System Based on STM32 Single-Chip Microcomputer
Authors: Wang Yuhan
Published: December 2023

With the development of social economy and the acceleration of urbanization as well as the increasingly heavier burden of social competition, keeping pets has become an important pastime for more and more families which result in the improvement of the market of pet caring. In order to take better care of pets more efficiently, in this paper, the author designs a smart pet house temperature monitoring system based on STM32 single chip microcomputer with the interaction to the upper computer. The intelligent pet house temperature monitoring system chooses STM32F102C6T6 single chip microcomputer controller as the controlling core and designs several circuits to achieve each required function. The overall designed system realizes the function of pet house temperature measurement with displaying on the LED connected to the single chip and data transmission to PCs with real-time plotting through the MATLAB. Experimental results show that the temperature monitoring system can timely measure the temperature in the pet house, and prove the feasibility of the design. Consequently, the designed system quality can be guaranteed to a great extent.
Tablet Press Model Analysis in Automated Production Equipment
Authors: He Qi , Li Chang , Yuan WeiHao
Published: December 2023

Tablets are one of the indispensable pharmaceutical forms in healthcare, and it has been developed based on powders and pills with a long history of application. Its commonly used production equipment is a tablet press, which directly presses pharmaceutical powder granules into tablets. This paper uses the traditional tablet press as a model to introduce the six-bar mechanism, reducer, and motor part. Based on real data, the rush return characteristics, pressurization and holding characteristics of the six-bar mechanism are analyzed. Finally, the shortcomings of traditional tablet presses are proposed, and improvement methods are given. Through the mechanism analysis of the tablet press in this paper, people can clearly understand the working principle of the tablet press. The model construction and motion analysis in this paper help to analyze the motion characteristics of the mechanism. This paper provides a theoretical basis for the construction of tablet presses.
Optimization Methods of Multi-Core Embedded System
Authors: Chen Haorui
Published: December 2023

With the development of the Internet of everything technology, embedded system has become one of the most common computing systems. Embedded system has high portability, but there are often stronger limitations in energy consumption, real-time and so on. In this work, have improved some traditional optimization algorithms, and finally get a task scheduling sequence, which can reduce the total execution time and cost of the task. Firstly, the multi-module division is used to divide multiple tasks into different modules, improve the classical Kernighan-Lin (KL) algorithm and clustering algorithm implement this process. Second, this paper invokes a series of algorithms to calculate the priority value of the task. Finally, this paper call two multi-core scheduling algorithms to schedule the tasks within each module to the Central Processing Unit (CPU) in the module. The proposed algorithm is implemented in this paper. With directed acyclic graph as input, the improvement effect of the algorithm and the direct advantages and disadvantages of different algorithms are evaluated with different task quantity.
The Latest Development of Turboshaft Engines
Authors: Shang Yiman
Published: December 2023

As the main power of rotor aircraft, the turboshaft engine has always been the focus of scientific and engineering research and has achieved rich research results. This paper reviews and summarizes the research results at home and abroad in the past 10 years from the aspects of control systems, oil-electric mixing, pollutant emission and compressor internal flow field optimization. High altitude and low temperature is the best condition for turboshaft engine operation. Pre-mission fuel estimation is good for low emissions. Oil-electric mixing engines can effectively improve efficiency, but reducing weight and cost is a problem that needs to be solved. The interaction between the leakage vortex and the excitation wave in the compressor increases the total pressure loss in the vortex core downstream of the excitation wave. The modes associated with wheezing can be stabilised by feeding back small-amplitude perturbations. The universality of the surge suppression of transonic centrifugal compressors and the stability of most of the compressor surges by small disturbance feedback are the next research focus.
Structural Optimization of Heat Transfer Fins in the Energy Storage System
Authors: Liu Kerun , Zhang Yitian , Guo Chaoran
Published: December 2023

For Problem 1, this paper uses the finite-difference methods to analyze the heat transfer effect of PCMs between two rectangular fins and get the relationship among temperature, time and distance from a fin. Through establishing a physical model based on thermodynamics and adjusting the interval angle between fins, we obtain the change rule of PCM average temperature with time under different interval angles. In order to avoid overlap of fins, this paper selects 20 ° as the final angle. The time required for PCMs to rise from room temperature (273K) to phase change temperature (333K) is about 240s. For Problem 2, this paper extends the model proposed in Problem 1 to adapt to the triangular fin structure. This paper designs a multi-objective optimization model. Results show that the heat transfer effect of PCMs is better when the interval angle is 20 °, the bottom width of the triangle is 0.0025m and the height is 0.025m. In addition, it is concluded that rectangular fins are more conducive to heat transfer than triangular fins.
Advanced Integrated Circuit Manufacturing Technology Process Industry Development
Authors: He Qi
Published: December 2023

Integrated circuits are circuits with specific functions that are integrated together by semiconductor processes and are a new type of semiconductor device developed in the late 1950s through the 1960s. Integrated circuits are the foundation of information development and the benchmark for high quality development of national economy. This paper introduces the concept of integrated circuits as well as the integrated circuit process, and the application areas of integrated circuits, which account for an expanding and growing share of information, communication, consumer electronics, automotive electronics, medical electronics and other consumer areas. It discusses China's future IC process development path by combining the IC production process and design process, industrial development, design process and preparation limitations, and proposes relevant suggestions and strategies by speculating on the future development of the process.
Research On the No-Wait Flow Shop Scheduling Problem Based on Simulated Annealing Algorithm.
Authors: Kai Ming
Published: December 2023

This paper focuses on the No-Wait Flow Shop Scheduling Problem and conducts research based on an improved Simulated Annealing Algorithm. The No-Wait Flow Shop Scheduling Problem is of great significance in practical production, but its solution complexity is high, requiring the search for appropriate optimization methods. In this study, a solution based on an improved Simulated Annealing Algorithm is proposed. Simulated Annealing Algorithm, as a global optimization method, introduces random perturbations to the current solution and accepts or rejects the new solution based on Metropolis criterion to escape local minima and search for better solutions. In this paper, the termination condition of the improved Simulated Annealing Algorithm is enhanced. Specifically, if no better solution is obtained after a certain number of consecutive temperature calculations or when the maximum number of outer loop iterations is reached, the algorithm terminates and outputs the result. This improvement aims to increase efficiency and reduce unnecessary computations.By comparing the results with other heuristic algorithms, it is found that the solution based on the improved Simulated Annealing Algorithm can effectively provide better scheduling solutions for the No-Wait Flow Shop Scheduling Problem, thereby improving production efficiency, reducing costs, and optimizing resource utilization.
Mechanical Equipment Failure Prediction Based on Machine Learning
Authors: Zheng Zihao , Li Chong , Zhou Huimin
Published: December 2023

Mechanical equipment plays a central role in the manufacturing industry. However, they often suffer from problems such as aging and wear, which pose a major challenge to maintaining the stability of the production environment and improving economic efficiency. In order to solve this problem, this article conducted an in-depth study using the usage and failure data of a certain enterprise's mechanical equipment. First, this article establishes an XGBoost classification model to determine whether mechanical equipment has malfunctioned. The model performed well, with performance metrics showing high precision, recall, and F1 scores. Furthermore, this paper used the XGBoost model to successfully predict the faults of 19 mechanical equipment, classified these devices, and accurately determined the types of faults, including heat dissipation faults, power faults and overload faults. Through the weight analysis of various types of fault data using the CRITIC weight analysis method, the main causes of various types of faults are clarified, which provides an important reference for further improvement and maintenance of this mechanical equipment.
Applications and Outlooks for MOFs in Food Engineering
Authors: Lin Yongzhi
Published: December 2023

Food detection and food packaging play critical roles in the realm of food engineering in maintaining food safety and quality. Because of the specific large surface area (SSA) and customizable topologies, metal-organic frameworks (MOFs) have become recognized as promising materials with distinctive features. Examples of MOFs employed as photochemical and electrochemical sensors for food detection are provided in this research. These MOF-based sensors have great selectivity and sensitivity, making it possible to quickly and accurately identify pollutants or signs of food rotting in samples. Additionally, the use of MOFs in food packaging has advantages including a longer shelf life and antibacterial qualities. Food is protected from outside influences by being enclosed within MOF structures, which delays deterioration and rotting. Additionally, MOFs with antibacterial qualities can successfully stop the growth of microbes, ensuring the safety of food. MOFs have the potential to be used in new application areas, such as the controlled release of dietary supplements and flavor enhancers, in addition to food detection and packaging. To guarantee the stability and effectiveness of MOFs in various applications, additional study is necessary. The relevance of food detection and packaging in food engineering is highlighted in this paper's conclusion, which also explores the potential of MOFs as adaptable tools in both fields. The examples shown show how important MOFs are as sensors and packaging materials, but further study is needed to fully utilize their potential and address any issues that might arise.
Metal-Organic Frameworks as Drug Delivery Systems for Tumor Targeted Treatment
Authors: He Junnan
Published: December 2023

Metal-organic frameworks (MOFs) are a class of porous crystalline materials composed of metal nodes and organic linkers, which have attracted great attention for various applications, especially in biomedicine. Tumor treatment often requires repeated, massive, prolonged drug therapy. Traditional drugs and their delivery systems are prone to the development of drug resistance and even concurrent cancers. So it is urgent to develop a new DDS. MOFs have shown promising potential in the DDS for tumor-targeted treatment, because of their large surface area, large pore volume, modifiable structure as well as functionality, and versatile drug loading and release mechanisms. In this review, the recent advances, and challenges of MOFs as DDS for tumor targeting treatment are summarized, focusing on the synthetic methods of promising MOFs, and the targeting strategies. Several recent studies of drug-loaded MOF NPs for the treatment are illustrated. Besides, the functionality proved for biocompatibility, biodegradability, and stability in vivo, the challenges and perspectives for future research and development were discussed. It is hoped that this paper can offer an overview and insights for researchers who are interested in MOFs as DDS for tumor targeting treatment.
Current Actuality of Sustainable Architecture: Prospects, Obstacles and Practical Implementation Strategies
Authors: Wang Yanzhong
Published: December 2023

Conventional architecture requires a lot of energy and emits a considerable amount of carbon dioxide, not only during its construction but also in the use process. According to the report released by the China Association of Energy Building Efficiency in 2020, the overall energy consumption of architecture takes up 46.5% of the final energy consumption in China. As environmental issues become one of the most important affairs worldwide, conventional architecture should explore a new path to address the long-existed excessive energy consumption and pollution problem. At the same time, the concept of sustainable architecture is put forward as a solution to the issue. In the past few years, innovations and breakthroughs have taken place in the construction industry and relevant strategies have been adopted by many projects. However, in order that the future of architecture will be rooted in nature and benefit the human well-being, the concept of sustainable architecture should be popularized extensively instead of serving as pioneer projects. This present article aims to assess the current actuality of sustainable architecture, including its prospects and obstacles. Also, it will propose several strategies with respect to developing eco-friendly building materials, adopting energy-efficient building design, and promoting vertical green facades along with one or two real-life cases.
Research on Different Physical Property Characterization Approaches for OLED Materials
Authors: Sun Hanqi
Published: December 2023

Organic light-emitting diode, which is also commonly known as OLED, is one of the advanced materials for the development of the modern display technology. In the past decade, it has been well developed and successfully applied in display, lighting, screen devices and other fields. Before formally releasing them in the market, OLED materials need to be comprehensive tests on their performance to determine all parameters, of which their physical properties are of great importance to be included. In this paper, to systematically investigate on physical properties of OLED material, different approaches have been studied, including electroluminescence spectroscopy (ELS), photoluminescence spectroscopy (PL), time-correlated single-photon counting (TCSPC), and other approaches. At same time, this study also provides detailed information of each method of these characterizations for OLED materials. Through these analyses, the optical as well as electrical properties of these materials are well-studied. Overall, this research aims to gain a deeper understanding of OLED materials, which not only contributes to its future development, but also paves an avenue for the new generation of materials with advanced functions.