bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis on Global Sea Turtle Conservation
Authors: Yu Ziyi
Published: December 2024

Climate change is a major concern to sea turtle populations, notably in terms of temperature-dependent sex determination (TSD) and sea level rise. TSD is a biological mechanism that decides the sex of turtle hatchlings dependent on hatching temperature, and with global warming, sex ratios are becoming increasingly imbalanced. Furthermore, increasing sea levels endanger vital nesting locations, aggravating the threat to turtle populations. This article investigates these climate-related concerns while also looking at various habitat restoration strategies. Strategies such as collaborating with local fishermen and moving turtle eggs aim to reduce bycatch and poaching. Conservation measures are also thoroughly studied, with a focus on captive breeding and the ethical problems that come with it. Through public outreach, the rehabilitation center not only treats wounded turtles but also spreads awareness about turtle conservation. When considered collectively, these initiatives highlight the critical need for an integrated strategy to protect sea turtles from the growing stressors posed by their habitat. This project aims to investigate the challenges posed by climate change to sea turtles, as well as methods for protecting and restoring their environment. Ultimately, it will provide integrated solutions to guarantee the sea turtles' long-term existence.
Optimizing Self-Assembly in Lattice Systems through Simulated Annealing: A Study of Cooling Strategies and Interaction Energies
Authors: Li Zexing
Published: December 2024

The self-assembly is modeled by lattices containing three units of cell agents as molecules. This paper studies how various cooling strategies, including interaction parameters, act on the self- assembly of a lattice system containing three-unit cell agents of varying configurations. The self- organization is governed by attractive or repulsive forces between constituents and is a common driver of many natural processes, from the making of biological structures to that of nano-materials. This paper aims to find the energy minima using three cooling strategies: proportional, logarithmic, and exponential. The effect of interaction parameters on the system’s behavior using interactions between different agent types, positive, negative, and neutral, is studied. Simulated annealing is used in simulations to find the energy reduction and clustering behavior. The results are analyzed utilizing heat maps, energy change calculations, and the overall system organization. The cluster movements ensure that local minima are avoided. The results obtained give insight into the relationship between cooling strategies and interaction parameters on the emergent properties of the lattice system.
Surface Temperature Inversion Analysis in Beijing Municipal Area
Authors: Wang Weijia
Published: December 2024

The urban heat island (UHI) effect means the temperature in the city is significantly higher than that in the peripheral suburbs. It is important to research the UHI effect to understand how human activities affect the urban climate, supporting the reduction of pollution in the urban environment, controlling energy consumption, and improving urban residents' health. This study takes downtown Beijing as an example and uses Landsat 8 satellite data to analyze the surface temperature inversion by preprocessing the remote sensing images, such as radiometric calibration and atmospheric correction, combined with the vegetation index (NDVI) inversion, and using the surface thermal radiation intensity calculation and the single-window algorithm, to derive the distribution of the surface temperature. Results show that most of the surface temperatures in downtown Beijing are distributed between 21 and 32 degrees Celsius in summer, demonstrating significant spatial variability, especially in the downtown area with higher temperature values, proving that the UHI effect is more significant in the residential areas. This finding validates the high-precision inversion capability of the single-window algorithm in complex urban environments. The study also suggests that the surface temperature inversion can be further improved by introducing more remote sensing data and improving the algorithm in the future.
Comparing Water Treatment Systems in China and Canada: Technologies, Policies, and Historical Contexts
Authors: Shu Rhett Ruide
Published: December 2024

Water treatment is a challenge to every country, given the diversity of its environmental, industrial, and demographic situations. The paper delineates the historical development, technological innovations, and policy frameworks regarding water treatment systems in China and Canada. The huge population and rapid industrialization within China have forced investments in advanced technologies, such as membrane bioreactors and chemical precipitation, for the treatment of industrial pollutants. Contrary to this, in view of its abundant freshwaters, Canada promoted more emphasis on biological treatments, such as constructed wetlands and activated sludge, for the remediation of organic and microbial contaminants. The paper also compares the two countries based on their management of municipal and industrial wastewater, agricultural run-off, and energy sector pollution. The drawbacks, however, are matched to the advantages because although centralized governance can implement large-scale technologies, rurality still lacks such access. The decentralized Canadian system allows room for localized solutions but at the cost of struggling with lax consistency in enforcement and aging infrastructure, especially where Indigenous communities live. This paper provides a comparative analysis to give an insight of how those two countries can learn from each other to improve water management and sustainability on a global level.
Innovative Negotiation Strategies for Achieving Win-Win Outcomes
Authors: Zhang Haiming
Published: December 2024

Negotiation is a communication process between two or more organizations or individuals, in which they discuss, negotiate, and strive to reach a consensus or agreement. The purpose of this process is diverse, including establishing connections, resolving common issues, handling conflicts and disputes, and improving relationships between each other. At the same time, this is also a process of meeting the needs of all parties. With the continuous advancement of globalization, communication between countries has become increasingly frequent, and business negotiations have become more and more common as a result. However, it is worth noting that despite the increasing number of business negotiations, it is not always easy to reach an agreement through negotiation. This usually requires significant effort from all parties, demonstrating sincerity, and employing skilled negotiation skills. This article aims to analyze commonly used techniques in business negotiations, identify the most suitable method for both parties to reach an agreement, and achieve a win-win situation.
Application of Remote Sensing Technology in Heat Island Effect of Major Cities in Fujian Province
Authors: Lin Zijun
Published: December 2024

Remote sensing technology has many advantages for the investigation of the urban heat island (UHI) effect. Firstly, remote sensing technology is real-time and dynamic, which can monitor the change of environment in real-time. Secondly, remote sensing technology has low cost and high efficiency, which saves a lot of manpower and material costs. Finally, remote sensing technology has accuracy and reliability, which provides scientific basis for environmental monitoring. Focusing on the UHI in Fujian Province, this paper introduces the data, sources and methods of remote sensing technology, and discusses the features and determinants of the UHI effect in Pingtan Island, Xiamen City and Fuzhou City. In the evaluation of land surface temperature (LST), the remote sensing image data of Landsat5 and Landsat8 are obtained firstly, and LST inversion method is used to obtain. It is found that underlying surface properties are changed by human activities, such as reclamation activities and changes in land use types, increases the mean surface temperature in Fuzhou, Xiamen and Pingtan Island, which intensifies the UHI effect. Based on the research review, relevant suggestions are put forward for city managers. In the process of urbanization, city managers should pay attention to the economy and ecology development, and take relevant measures, such as increasing the urban green space, optimizing the layout of green space, improving the property of urban underlying surface, and improving the surface reflectivity, to alleviate the UHI effect.
The Impact of Barriers to Trade In Digital Services on Innovation in Manufacturing Firms
Authors: Huang Xiaoge
Published: December 2024

Digital trade in services strengthens the flow and sharing of high-end knowledge, technology, talents and other resources among countries and industries, promotes the accelerated optimization and integration of the global industrial chain and innovation chain, and digital trade in services can further activate the innovation factors and release the innovation potential, injecting new momentum for the innovation and development of Chinese enterprises in the context of the new era. Barriers to trade in digital services refer to various policies, regulations or measures against the cross-border flow of digital services, which may restrict the cross-border transactions of digital service providers and limit consumers' access to and use of digital services. The rapid development of the digital economy has led to further expansion of trade in digital services, which are now deeply integrated into the manufacturing sector. At the same time, barriers to trade in digital services are an issue that cannot be ignored. This paper examines the impact of digital service trade barriers on manufacturing firms' innovation based on micro evidence from listed companies in China from 2014-2019, and finds that digital service trade barriers inhibit firms' technological innovation by hindering their digital transformation, lowering the level of firms' information sharing, and preventing firms from engaging in international innovation cooperation.
Research on Crop Planting Strategy Problem Based on Optimization Greedy Algorithm
Authors: Li Zhetong , Yuan Peiqi , Zhao Sanglin , Deng Hao , Yuan Bingkun
Published: December 2024

This article proposes a planting optimization strategy that comprehensively considers crop profits, planting costs, yield per mu, and mutual constraint effects based on crop economic and geographical data from rural areas in North China from 2024 to 2030. By combining greedy algo rithm, K-means clustering analysis, and Pearson correlation analysis, we ensure that crop selection is both efficient and sustainable, while adhering to crop rotation principles to avoid repeated cropping. The results show that the optimized planting plan has a total profit of 86382 538.00 yuan between 2024 and 2030, an increase of 211.22% compared to the original strategy profit. The study not only verified the scientific and feasibility of the model, but also provided specific planting strategy suggestions for agricultural production, aiming to improve agricultural production efficiency and promote the sustainable use of land resources.
Light Pollution Evaluation Research Based on the Entropy Weight Method Combined with the TOPSIS Model
Authors: Lin Haicheng
Published: December 2024

Light pollution has emerged as a significant environmental issue, joining the ranks of other pollutants such as waste gas and wastewater in posing serious threats to environmental safety and public health. Unlike traditional pollutants, light pollution is often less visible in regulatory frameworks, yet its effects on ecosystems, human health, and overall environmental quality are profound and increasingly recognized. As urbanization expands and artificial lighting becomes more prevalent, the need to accurately measure and mitigate the impacts of light pollution becomes ever more critical. To tackle the complexities associated with assessing light pollution across diverse geographical locations, this paper introduces a comprehensive and versatile evaluation model. The proposed model integrates the TOPSIS method, enhanced by the entropy weight method, and is further supported by multiple regression analysis and random forest algorithms. Together, these methodologies form a robust framework for quantifying light pollution risk levels across various environments. By providing a systematic approach to light pollution assessment, this research offers valuable insights for the development of global light pollution evaluation systems. Furthermore, the findings contribute to the broader discourse on effective management strategies, offering a reference point for policymakers and researchers involved in environmental protection and sustainable urban planning.
Progress in the Application of Satellite Remote Sensing Technology in Urban Night Light Pollution Monitoring
Authors: Wang Dongyue
Published: December 2024

The satellite remote sensing technology has provided good research conditions for analysing urban light pollution intensity. Many types of satellites are used worldwide to monitor light pollution. This article describes the application progress of satellite remote sensing technology in urban night light pollution monitoring, analyzes their technical characteristics and advantages, and summarizes the important role of satellite remote sensing technology in light pollution monitoring. By summarizing the technical parameters of satellite data, such as spatial resolution, temporal resolution, and spectral range, it shows that remote sensing technology provides long-term and stable data support for global and regional light pollution monitoring, especially for the study of the spatial distribution and changing trends of light pollution, which has unique advantages. This paper analyzes the temporal and spatial distribution of night light brightness in different areas based on specific cases and reveals the relationship between light pollution, urbanization and economic development. Although remote sensing technology has significant advantages in light pollution monitoring, it still faces some challenges during its application, including limited data resolution, insufficient sensitivity to new light sources such as LEDs, and high data acquisition costs. This paper also proposes future research directions, including improving the resolution of sensors, expanding spectral bands, optimizing data processing methods, and combining multi-source remote sensing data and ground measurement data to achieve more accurate light pollution monitoring.
Study on The Measurement of Banks' Digital Transformation Level Based on Topsis Comprehensive Evaluation Method - Taking The Middle and Lower Yangtze River Region as An Example
Authors: Zhang Yuxuan
Published: December 2024

Investigating the digital transformation of banks is essential to fostering regional economic expansion. This serves as the foundation for the bank digital transformation indicators article creates, which includes 15 tertiary indicators and 4 secondary indicators. The bank digital transformation indicators are given indicator weights using the AHP hierarchical analysis method. Finally, utilizing the Topsis complete assessment approach, a comparative study was carried out on the score measurement of banks' digital transformation development level in the middle and lower portions of the Yangtze River. The indicators of asset size, deposit, and loan ratios, and ROE were found to have bigger weights. The digital transformation scores of banks in Jiangxi Province were determined to be the lowest, while those in Shanghai were the highest. This results in suggestions for bolstering bank data governance, expediting digitization, and developing a forward-looking strategy plan.
The Impacts of Global Warming on The Migration Routes of Whales and The Changes
Authors: Wang Yuqing
Published: December 2024

This paper focuses on an in-depth study of the effects of global warming on the migration routes of whales and the changes it brings to marine ecosystems, mainly using humpback whales as an example. The paper discusses how the migration routes of whales, the largest marine mammals that travel long distances between feeding and breeding grounds, have been affected by global warming. The research indicates that while these whales demonstrate remarkable adaptability in adjusting their migration timing, ongoing climate changes may pose significant challenges, particularly in synchronizing their migration with prey availability. The significance of this research lies in the impacts on the entire marine ecosystem, where a decrease in humpback whale populations due to disrupted migration patterns can affect the entire marine food web. In order to mitigate these impacts, related conservation efforts such as protecting whale populations and the ecosystems they support are critical. It is evident that research on subsequent conservation efforts are critical to mitigate these impacts and protect whale populations and the ecosystems they support.
Comprehensive Evaluation of Dietary Nutrition Based on Normalization and Linear Weighted Model
Authors: Huang Yiqi
Published: December 2024

Dietary recipes play a pivotal role in maintaining nutritional health. A balanced and scientific diet can enhance nutrient absorption and preserve physical well-being. Nevertheless, many dietary nutritional assessment methods suffer from the limitation of being partial or one-sided. To address this issue and better facilitate the search and design of dietary plans, we have employed a normalized and refined linear weighted method to construct a novel comprehensive evaluation model. This approach eliminates the influence of different dimensions, allowing various types of indicators to be compared and analyzed simultaneously. Therefore, it enables a holistic evaluation of multiple nutritional indicators, yielding a comprehensive result. Furthermore, we illustrate the application of this model with a daily dietary plan for a male college student as an example. Based on the fundamental principles of balanced diets and food information, a comprehensive nutritional evaluation of the diet is conducted. This model not only facilitates the design of scientific dietary plans but also aids individuals in cultivating healthy eating habits, thereby safeguarding their overall health.
Research on Predicting Enterprise New Quality Productivity Based on K-Means Clustering and BP Neural Network
Authors: Ding Yifan , Zhou Xingyu
Published: December 2024

Firstly, using text mining methods and analyzing the frequency of words related to new quality productivity in enterprise annual reports, we calculated the new quality productivity index for each enterprise from 2007 to 2022. We constructed 25 predictive features from three aspects: enterprise digital transformation, ESG, and productivity. To improve the efficiency of machine learning methods, the Boruta algorithm was used for feature selection, resulting in 21 predictive features. To enhance the accuracy of enterprise clustering, principal component analysis (PCA) and UMAP methods were used for dimensionality reduction, with UMAP showing better results than PCA. Using the reduced-dimensional features, the K-means clustering algorithm was applied to cluster each enterprise. The BP neural network method was then used to predict the new quality productivity index, achieving an accuracy of 97.7%. The study concluded: 1) "Technology" appeared most frequently (544,610 times) in annual reports, underpinning new quality productivity development; 2) Digital transformation, ESG, and productivity significantly impact new quality productivity; 3) Enterprises with longer establishment times have higher productivity indexes, promoting high-quality development; 4) Financial characteristics and ESG indicators can predict a company's level of new quality development.
Analysis of the Internet Marketing Strategy of Electronic Games --- Taking Hongkai: Star Rail as an Example
Authors: Li Yichen
Published: December 2024

With the popularization and rapid development of the Internet, the electronic game market has shown a booming trend worldwide. At the same time, online marketing has become a marketing tool that cannot be ignored. As a new game released in 2023, Hongkai: Star Rail has gained a wide market in the world with its excellent game quality based on the flexible use of online marketing. Taking Hongkai: Star Rail as an example, this paper deeply explores the current situation of online marketing in the electronic game industry. This paper describes three representative online marketing strategies in detail and analyzes their respective advantages and disadvantages. Finally, some specific opinions are put forward for the shortcomings of the above strategies. In summary, this paper comprehensively analyzes the current situation and optimization direction of online marketing of electronic games, and provides valuable reference and inspiration for researchers and practitioners in related fields.
Contemporary Circumstances of Companion Animals in China
Authors: Pu Songjie
Published: December 2024

In China, the implementation of animal welfare in the legal system has been relatively lacking when compared to other nations. As the existing flaws and the lack of enforcement of such laws condone many instances of animal cruelty in China’s society, animal welfare and protection have been a topic of growing discussion both in the society and in the academic world of China. However, while most literature focuses on the general welfare of more noticeable animals like wildlife and livestock animals, the abuse, abandonment, and mistreatment of companion animals have been receiving less attention regarding their unfortunate circumstances in China’s society. With a lens on the topic of companion animals, then, this paper aims to uncover the cases of animal cruelty in China and point out the loopholes in relevant laws. This will be done through a combination of a dive into literature in this field as well as statistics, case studies, and government policies. Furthermore, this paper will go on to explain the difficulties of establishing companion animal welfare laws in relation to the Chinese legal system, society, and cultural context, and hence offer suggestions about how companion animal welfare can be achieved.
Research on Optimization of Crop Planting Strategies Based on Linear Programming and Monte Carlo Methods Abstract
Authors: Shang Yibo
Published: December 2024

With global population growth and climate change impacting agriculture, optimizing crop planting strategies is essential. This study aims to maximize net returns from limited land and climatic conditions using a linear programming model combined with Monte Carlo simulation. Two scenarios were considered: excess yield either wasted or sold at a reduced price. By simulating various planting strategies, the optimal scheme was identified. The results indicated that the highest total return of 9,323,486.21 was achieved in 2025, while the return in 2028 was lower at 8,695,777.98. This research provides valuable insights into improving agricultural productivity and profitability.
Application and Effect Evaluation of Remote Sensing Technology in the Monitoring of Water Pollution
Authors: Gao Hanbo
Published: December 2024

Remote sensing technology has shown significant advantages in water pollution monitoring, which can achieve large-scale and real-time water quality monitoring. This paper introduces the remote sensing technology mainly used in water pollution monitoring and analyzes the application cases of different polluted waters. Remote sensing technology mainly includes optical, thermal infrared, and radar remote sensing. Optical remote sensing monitors the concentration and distribution of pollutants by analyzing the spectral reflection characteristics of water bodies; Thermal infrared remote sensing detects thermal pollution according to the change of water temperature; Radar remote sensing uses electromagnetic wave reflection to identify oil pollution, water level changes and other information, which is not limited by weather conditions. It is suitable for water pollution monitoring in cloudy and rainy areas. At present, remote sensing technology has been successfully applied in different water areas, such as industrial pollution, agricultural non-point source pollution and domestic sewage pollution. Remote sensing technology can quickly identify pollution sources and monitor the diffusion range of pollutants, providing scientific basis for environmental protection departments and supporting environmental protection decision-making. However, some limitations exist, such as insufficient accuracy and weather influence. In the future, it is necessary to optimize the algorithm and sensors further to improve the ability to monitor trace pollutants to better protect the water environment.
Application of Bionics in Wing Design of Aerospace Vehicles
Authors: Feng Yilong
Published: December 2024

With the rapid development of aviation technology, the requirements for aircraft performance are getting higher and higher, and traditional aircraft design is facing numerous challenges. Bionics provides new ideas and solutions for the development of aviation technology by imitating the structural and functional principles of natural organisms. In this paper, the limitations of traditional aircraft wings are first analyzed and the ideas of bionics in improving wing design are discussed. Then, it discusses the research progress in morphology bionics, structure bionics, function enhancement, and material innovation. The potential of bionics to improve the performance of aircraft, reduce energy consumption, and enhance stability is demonstrated. Through the integrated application of morpho-bionics, structural bionics and functional bionics, researchers have not only solved the shortcomings of conventional wings but also significantly improved the aerodynamic performance and flight efficiency of aircraft. This paper aims to provide useful references and inspirations to promote the innovation and development of aeronautics technology.
Research on Financial Statement Analysis and Operational Issues of Gree Electric: Evidence on the Audit Perspective
Authors: Shi Meng
Published: December 2024

This paper examines Gree Electric Appliances through financial statement analysis from an enterprise strategy perspective, offering a comprehensive review of the company’s financial health and operational issues. Despite a stable overall financial position, Gree Electric faced a slight decline in net profit in 2023, suggesting underlying market challenges. The analysis highlights significant operational problems, including weak profitability, inadequate supply chain management, and elevated operating costs. These issues are attributed to a single business model, insufficient internal organization, and poor asset management. To address these challenges, the paper recommends diversifying the business model, enhancing internal processes, and improving asset management practices. Strategic initiatives such as bolstering research and development, optimizing supply chain management, and reducing operational costs are crucial for boosting profitability and securing a competitive edge. By implementing these strategies, Gree Electric can enhance its market position and effectively navigate future economic uncertainties, thereby strengthening its long-term financial stability and operational efficiency.
Research on Metal-based High-temperature Superconductors and BCS Mechanism
Authors: Zhou Yechen , Dong Wei , Ye Houde
Published: December 2024

Recently, high-temperature superconductors have had a wide range of applications in fields such as electric power transportation, medical imaging and diagnostics, electronic devices, and quantum computing. Therefore, this paper reviews the properties and mechanisms of copper-oxide, iron-based, nickel-based and hydrogen-based high-temperature superconductors. The results show that optimizing the copper-oxygen layer structure and regulating the interlayer coupling are effective methods to improve the performance of copper oxide high-temperature superconductors. This method can enhance the superconducting current, thus improving their superconducting properties. For iron-based high-temperature superconductors, the superconducting transition temperature and energy gap can be enhanced by doping rare earth elements or transition metal elements, and adjusting the topology of the Fermi surface to change the internal electronic structure of the material. The double-layer structure of nickel-based high-temperature superconductors is investigated by using tensor networks and other methods, which significantly increase the Tc of the material and solve the problems of difficult preparation by detecting the impurity effect and vortex state of the material. For hydrogen-based superconductors, chemical pre-pressurization and doping with alkali metal elements are mainly used to synthesize ternary hydrogen-based superconductors and hydrogen-minor superconductors. This can significantly increase the transition temperature of superconducting materials and reduces the pressure required for their preparation. Therefore, this study can improve the superconducting properties of these high-temperature superconductors and extend their applications in the fields of electric power transportation, medical imaging and diagnostics, electronic devices and quantum computing.
Biological Functions of Tea Polyphenols Based on Their Active Substances
Authors: He Junyi
Published: December 2024

Tea polyphenols are a type of polyphenolic compounds with a phenolic hydroxyl structure, commonly found in tea trees and with higher concentrations in green tea. They are recognized as key functional elements of tea and exhibit various biological functions, such as antioxidant, metabolic regulation, and antibacterial properties. These characteristics have aroused great interest in different industries, including functional foods, drug research, and food preservation methods. In recent years, research has been conducted on the extraction process of tea polyphenols, exploring their characteristics, biological effects, flavor regulation, mechanism of action, and potential applications. This detailed study provides valuable reference for the development of functional foods, natural therapies, and other related products containing tea polyphenols. The multiple advantages and uses of tea polyphenols highlight their potential to enhance health and well-being in a range of industries. The ongoing research on tea polyphenols emphasizes their importance as natural compounds with encouraging biological effects and functional qualities, which can be used to develop various health enhancing products and applications.
The Impact of Human Behavior on the Unnatural Evolution of Animals
Authors: You Canfei
Published: December 2024

For millions of years, natural selection has shaped the evolution of species, with environmental factors determining their survival and reproductive success. However, in recent centuries, human activities have introduced a new force—artificial evolution—driven by behaviors such as feeding, poaching, and habitat destruction. This review explores how these human interactions have reshaped the evolutionary trajectories of various species. One case study on fallow deer in Phoenix Park demonstrates how human feeding behaviors increased reproductive success by boosting fawn body mass, giving them a survival advantage. Additionally, the review examines how poaching has led to the decline of desirable traits, such as tusk size in elephants, due to the selective removal of individuals with larger tusks. The findings suggest that human actions are significantly influencing natural selection, with both intentional and unintentional effects. Understanding these impacts is crucial for addressing the long-term consequences of human-driven evolution and ensuring the preservation of biodiversity and ecosystem stability.
Acoustic Survey and Research on Fishery Resources in the South Yellow Sea Reef Area
Authors: Chen Shuai , Li Lingzhi , Huang Hongliang , Rao Xin , Zhang Yuqing
Published: December 2024

2017.4 The project team conducted an acoustic survey of fishery resources in the fish reef area of the South Yellow Sea using a scientific fish finder (EY60, SIMRAD) to obtain acoustic images of biological resources in the sea area passed by the survey vessel. In data processing, this survey used professional fishery resources acoustic survey data processing software (ECHOVIEW 7.9, MYRIAX, AUSTRIA), in particular, the software has a special background noise processing module, according to De Robertis, Higginbottom's research results of the preparation. The results of this survey showed that the average NASC in the target area of the reef zone was 42.85 m^2/nmi^2, with the largest NASC of 249.47 m^2/nmi^2 in one section, and 28.56 m^2/nmi^2 in the southernmost control area, with the smallest NASC of 25.11 m^2/nmi^2 and the largest of 35.37 m^2/nmi^2.
Research Progress on Activation and Modification Techniques of Humic Acid
Authors: Sun Yutong , Xia Liheng
Published: December 2024

Humic acid is a naturally occurring organic substance found extensively in soils, coal, and peat, characterized by a complex molecular structure with abundant functional groups. Recent advancements in activation and modification techniques, such as oxidation, alkalization, and biological modification, have significantly enhanced the solubility, stability, and bioactivity of humic acid. These techniques have broadened its applications in agricultural productivity, soil improvement, and environmental protection. This review summarizes the principles and effects of various activation and modification techniques and discusses their roles in agriculture and environmental management. It also highlights the current achievements and limitations in the field, as well as potential directions for future research on humic acid activation and modification.
Urban Community Environmental Quality Assessment and Improvement Plan Based on Statistical Analysis and Optimization Algorithms
Authors: Po Kevin Wu Kwai
Published: December 2024

Urban environmental pollution, including air and noise pollution, affects the lives of millions of people in cities around the world prematurely dying because of respiratory and cardiovascular disease. The approach of this study is to apply statistical analysis and optimization algorithms in tandem for assessing and upgrading the quality of urban environment as a unique way of managing pollution in an evolving urban system. We conducted a cross-sectional design using air quality monitoring stations, community health surveys and remote sensing data. Correlations among pollutants and health outcomes were tested using the aid of statistical models. In this work optimization algorithms were incorporated with GA and SVR, used as an effective tools to synthesize feasible pollution control strategies. Treatment with various NRTIs i.e T, Z and H in 1–24 h significantly induced TNFα followed by IFNγ in serum which were strongly related to each other (r~0.9) as well as their initial presence was directly proportional with the dose (treated), endorsing a positive dose-dependent response inducing inflammation of all treated patients up to minimum during that early period meanwhile no significant changes were observed for control or placebo group. 5 receive a much lower coefficient of 0.72 for air which relates to both respiratory diseases (Table 4). The PM2. 5 levels decreased respiratory disease cases by 18% in high-pollution areas over a six-month time period. It is clear that the findings are consistent with past literate about urban pollutants negatively impacting human health, however the study offers a new perspective on the issue via optimization algorithms. Because the study is of a cross-sectional design, it can only suggest that tailored emission control plans could substantially foster community health, instead of demonstrating causal inference. Subsequent Confirmatory research has discussed the need for longitudinal studies and suggested the use of machine learning algorithms to perform real-time assessments.
Artificial Intelligence Master of History
Authors: Zou Yuming
Published: December 2024

In this EPQ, I built a system that successively enables the large language model to answer questions on the past with evidence from primary sources. This project was motivated by the realization that despite the complexity, the performance of the large language model (LLMs) literally means understanding but simply does pattern recognition, coupled with probabilistic text prediction. Against this backdrop, a specialized AI was developed to help in error correction, given that AI-produced historical data are generally full of errors, by the use of the open-source Langchain-Chatchat that allows integration of LLMs with a structured knowledge database. These contain factual and historical information needed for the AI to compute the accurate answer. The system uses the GLM-4 model by Tsinghua University for the level of GPT-4 and above. This web application is built on Streamlit, an AI-powered system that interacts with the user. The steps through which input queries and historical text were processed by the system include an Unstructured Loader, a Text Splitter, an embedding model, and a Vector Store. Successful implementation of this system not only improved the reliability in AI for historical education but also laid the foundation for further improvement in educational technology and AI interaction models. Future plans will involve further historical database expansion to even more diverse periods and geographies, as well as enhancing the user interface to become more interactive and accessible.
YOLOv5-DCN: An Effective Improvement Based on YOLOv5 Detector
Authors: Qi Xiaoxia , Md Johar Md Gapar , Khatibi Ali , Tham Jacquline , Cheng Long
Published: December 2024

Urine sediment detection is of great significance for the diagnosis and monitoring of kidney diseases, urinary tract infections, stones, etc. This study aims to propose fast, high-precision and lightweight Urinary particles detection model based on YOLOv5, deformable convolution, and evaluate its performance in Urinary particles detection tasks.
Trends in Image Object Detection and Segmentation with Deep Neural Network on Natural and Earth Observations
Authors: Hoeser Claudia , Zhang Gongyi
Published: December 2024

Deep learning has a profound impact across multiple scientific domains and has increasingly positioned itself as a versatile tool for addressing new challenges in the field of natural (Earth) observation. However, researchers in Earth observation often face significant entry barriers, primarily due to the complexity and rapid evolution of the field, which is heavily driven by innovations in computer vision. To assist researchers in overcoming these challenges, this paper provides a comprehensive discussion of the development of deep learning, with a particular focus on image segmentation and object detection using convolutional neural networks. The paper begins with key developments when convolutional neural networks set new benchmarks in image recognition, and continues through to the innovations made recently. This paper traces the interconnections among the most influential convolutional architectures and major milestones originating from computer vision, facilitating a clear understanding of how these advances shape modern deep learning models. Additionally, we offer insights into the evolution of popular deep learning frameworks and present a summary of datasets commonly used in natural observation. By exploring well-performing architectures and evaluating their applications on Earth observation datasets, we assess how breakthroughs in computer vision influence future research in natural observation. This paper bridges the gap between theoretical advancements in computer vision and their practical implementation in natural observation, equipping researchers with the knowledge needed to effectively integrate deep learning into their work.
Digitising a Turn-Based Strategy Board Game: Implementation of Spellcaster Using the Mini-Max Algorithm
Authors: Wang Yukai
Published: December 2024

Spellcaster is a turn-based strategy board game for two players, involves players casting spells by making sequences of gestures, aiming to defeat their opponent through different kinds of spells within a turn-based system. The research succeeded in the implementation of Spellcaster as a 2-player game system, with an AI opponent who can make reasonable decisions. The digitised game is developed using the LibGDX game engine because of its cross-platform features and high editability; and implemented in the Java language, using java's object-oriented features to improve programming efficiency. The game's AI opponent is implemented using the Mini-Max ideas, with an evaluation function that focuses on the gesture selection of the current turn.
A Review of the Collaborative Development of Large-Scale Medical Information Systems in China Based on Data Security Policy
Authors: Tang Chenshuang , Pan Jiawei , Wu Jun , Xu Zhongcheng
Published: December 2024

Although in recent years China's governments at all levels and medical administrative bodies have attached great importance to the protection of health and medical big data, and taken various measures to promote the standardized use and effective protection of data, however, China's large population base, health care resources allocation has a strong complexity, so health care data show significant high-frequency changes and complex and diverse characteristics, patients are also in the main links of treatment, payment, and so on, the authenticity of the data are very high requirements. In such a special social environment, from the perspective of both theory and practice, to maximize the application of data in the medical information system while trying to reduce security risks, in the background of relative security to achieve the equilibrium of data utilization and data security, which is worth studying.
Prediction of Mechanical Properties of 6061 aluminum Alloy After Heat Treatment Based on GA-BP Neural Network
Authors: Long Zhenyu , Xiao Feng , Xu Wangli
Published: December 2024

To study the influence of the heat treatment process on the mechanical properties of 6061 aluminum alloy, a prediction model of the mechanical properties of 6061 aluminum alloy after heat treatment based on the GA-BP neural network was established. Based on this model, a set of simple and easy-to-operate built-in data prediction systems was designed. The correlation coefficient R of the GA-BP model was 0.98869, 0.98282, 0.93975, and 0.95657, respectively, and the prediction effect was good. Comparing the predicted value with the experimental value in the prediction system, it is concluded that the prediction accuracy reaches 95.6%, which proves that the model and system have certain stability and feasibility. In addition, this study provides an empirical reference for exploring the effects of solution temperature, cooling rate, aging temperature, and aging duration on the properties of aluminum alloys.
The Mystery of the Image Display: The Leap from Technology to Art
Authors: Zhong Zhirui
Published: December 2024

With the rapid evolution of electronic information technology, image presentation technology has penetrated from the simple domain of engineering to the core territory of artistic innovation. This thesis is intended to examine how digital tools have shaped the new landscape of visual expression art during this transformation and have brought profound transformative effects on the film and television industry. Firstly, this paper summarizes the historical context of image presentation technology, and compares the similarities and differences between past and present methods. Then, through the in-depth interpretation of the creation of internationally renowned digital art masters, we find how technological innovation has greatly enriched the form and connotation of innovation expression. In the cinematic arts in particular, advanced digital imaging has become an integral part of the field, as shown by the sophisticated computer-generated imagery (CGI) used in Avatar and the visual intelligence contained in Blade Runner 2049, both of which are stark examples of the power of technological and aesthetic fusion. It brings an unprecedented visual shock experience to the viewers. In addition, the paper also examines how experimental films can use high-tech means to break new ground, such as the immersive experience created by virtual reality technology. Finally, the paper discusses the reshaping of audience perception by digital process, and explores the prospect of the integration of technology and art in the future, emphasizing that despite the change of tools, the intrinsic value of art is still irreplaceable. The above review illustrates the key role of image display technology in cross-domain technology and art and its potential growth drivers.
Investigation of the Problem of Stabilisation of the Overturned Equilibrium Position of the Furuta Pendulum
Authors: Niu Qunkai
Published: December 2024

Research goal: Investigation of the problem of' stabilisation of' the overturned equilibr ium position of the Furuta Pendulum Tasks to be solved in WRC / Research tasks: (1) Analvtical! review of incomplete-drive robots, their model representations and structural properties. (2) Analysis of kinematics and dynamic properties of incomplete-drive robots. (3) Research methods and control algorithms for incomplete-drive robots. (4) Synthesis of a control algorithm for stabilising F uruta's pendul um relative to an unstable overtumned equilibrium position. Experimental modelling. (5) Analysis of dynamic properties and qualitative indicators of the obtained svstem. The aim of this final qualification work is to investigate incompletely driven systems, analyse their dynamic properties and control methods. Furuta's pendulum is investigated as an example of an incompletely driven system. In the work the model of the system is compiled, the control algorithm is synthesised, mathematical modelling in Simulink MATLAB environment is carried out.
Research on Operation Solutions Based on Computer Technology - Taking the Fruit Industry Sales as an Example
Authors: Li Chao , Han Jingrong
Published: December 2024

This paper applies computer technology to transform the fruit industry sales from traditional planting, processing, and sales models to intelligent, refined, and efficient operations through digital empowerment, refined management, and enhanced brand effect construction, thereby improving the operational efficiency and competitiveness of the entire industry chain. It is of profound and significant importance for promoting the transformation and upgrading of Shaanxi’s fruit industry, significantly improving fruit industry management efficiency, enhancing market competitiveness, actively promoting farmers’ income increase, and accelerating the sustainable development of the fruit industry.