Abstract.This article explores the specific impact of artificial intelligence (AI) -driven data visualisation technologies in the user experience of the Internet industry. Through the introduction of machine learning and data mining technologies, AI has significantly improved the intelligence and automation of data visualization tools, promoting innovation in visualization methods and improving the quality and efficiency of data cleaning, processing, and analysis. In addition, AI has also promoted the development of personalised data visualization, providing users with a richer and more intuitive way … Read more →

Abstract.The application of AI technology in urban planning covers multiple levels, such as data analysis, decision support, and automated planning. Urban research relies on AI technology to understand and summarize the law of urban growth and improve the analysis of the evolution trend of urban space. Planning and design use AI technology to explore the relevant factors affecting urban development and their weights and discuss the critical role of green building technology in the sustainable development of the construction industry. With the increase in global energy consumption and carbon emissions, … Read more →

Abstract.Liquid helium is widely used in scientific devices to offer a cryogenic temperature for superconductor. In addition, liquid helium is also the main mode of long-distance transportation of helium. In this paper, the main principle of helium liquefaction is discussed. The helium liquefaction devices around the world for scientific research and industry are concluded, as well as the liquefaction device producers. Read more →

Abstract.Code completion, a critical feature in integrated development environments, significantly reduces the coding workload for developers. Traditional code completion techniques often focus on the natural language properties of code, overlooking the structural characteristics of programming languages. To address this issue, this paper introduces a novel approach combining program analysis and deep learning to enhance the accuracy and efficiency of code completion. Initially, the research utilizes program analysis techniques to explore the structural and semantic information of code snippets deeply, … Read more →

Abstract.The material characteristics of fiber lightweight aggregate concrete pipes were analyzed, along with the bending toughness of fiber lightweight aggregate concrete. A review was conducted on the bending resistance performance of fiber concrete beams and pipes at normal and high temperatures domestically and internationally. It was found that steel fibers and polypropylene fibers exhibit a positive synergistic effect when used together. They enhance toughness and ductility significantly, contributing greatly to bending toughness. Hybrid fibers can partially replace steel reinforcement, optimize … Read more →

Abstract.Due to the complexity of legal terminology, machine translation faces certain challenges when dealing with legal terminology. This article introduces machine translation technology, the classification and characteristics of legal terms. Analyze the advantages and limitations of machine translation, as well as the difficulties in translating legal terminology, and combine the limitations of machine translation to describe the current application status and strategies of machine translation in legal terminology translation. This study proposes a solution that combines machine translation with … Read more →

Abstract.High school is an important period for the cultivation of academic emotions and a key stage for talent training. And Foreign language learning is the main subject. However, in reality, under the influence of the baton of the college entrance examination, English learning is more test-oriented. High school students often faced with heavy learning tasks and have huge psychological pressure, so their academic emotions are also facing serious challenges.  In particular, they have learning anxiety and burnout, which will not only influence students' physical and mental development, but also affect … Read more →

Abstract.Concrete emits a large amount of carbon dioxide during the production process, exacerbating environmental problems such as greenhouse effect. However, at the same time, the hydration products of concrete (Ca(OH)2, C-S-H, etc.) can react with CO2 and have great potential for carbon sequestration. At different stages of the life cycle of concrete (mixing, curing, service, and secondary utilization), concrete can achieve permanent CO2 sequestration through carbonation reactions. Whether concrete carbon sequestration technology can achieve carbon neutrality, the amount of carbon sequestration is … Read more →

Abstract.The KWL model, an instructional strategy that stands for 'Know, Want to know, Learned,' has been increasingly recognized for its effectiveness in enhancing reading comprehension and engagement in the classroom. This paper presents the conceptual framework and theoretical merits of the KWL reading instructional strategy. Additionally, it elucidates the procedural steps and practical considerations in teaching English reading at the junior high school level, aiming to offer novel insights for junior high school English educators and enhance students' proficiency in English reading. Read more →

Abstract.In recent years, China has increasingly emphasized the utilization of natural gas due to its near-zero pollution characteristics upon combustion, making it widely favored. Natural gas primarily consists of methane and other hydrocarbon gases, forming an important mixture. Besides using methane as fuel, other gases in natural gas can be separated and recovered through specific technologies for use in the chemical industry. The development of natural gas condensate recovery technology is influenced by various factors, including technical requirements, recovery equipment performance, and process … Read more →

Abstract.With the rapid development of the automobile industry, vehicle durability has become one of the important indicators for measuring automobile performance. As a key factor affecting vehicle durability, road surface grade has a significant impact on the load borne by the vehicle during actual driving. This study aims to explore a method for compiling a vehicle durability load spectrum based on road surface grade, in order to provide a theoretical basis and technical support for automobile durability design and testing. First, this paper reviews the classification standards of road surface grades … Read more →