Typhoons, as tropical cyclones occurring in the western Pacific, are one of the most destructive natural disasters, often causing severe impacts on coastal areas. With the gradual increase in typhoon intensity, predicting typhoon paths and their strengths is crucial to mitigate their threat to human lives and economic infrastructure. In recent years, the importance of applied mathematics, especially statistical modelling, in typhoon hazard assessment has become increasingly prominent. This paper discusses the application of statistical models such as extreme value theory, time series analysis and multiple regression analysis in typhoon risk prediction, aiming to reveal the key role of applied mathematics in typhoon disaster assessment, and to provide a theoretical basis for improving the accuracy of prediction and formulating effective response strategies. Through this study, it helps to improve the accuracy of typhoon track and intensity prediction, and provides scientific support for coping with the increasing typhoon disasters. In addition, this study provides an important theoretical basis and reference direction for relevant departments to formulate disaster prevention and mitigation strategies

Mechanical design is a crucial branch of engineering technology that focuses on the conception, development, and optimization of mechanical systems. This field encompasses a wide range of activities, from the initial design ideas to the final implementation of complex machinery. One of the innovative aspects of mechanical design is the application of electromagnetic phenomena, which offers valuable insights and references for improving various mechanical systems. This paper utilizes a literature review approach to delve into the application of electromagnetic principles within mechanical design. It explains the fundamental concepts of these principles and assesses their significant roles, particularly in areas such as electromagnetic drive, electromagnetic braking, and electromagnetic induction. By presenting practical examples, the paper highlights the importance and vast potential of integrating electromagnetic principles into modern mechanical design. Ultimately, this study aims to foster technological advancements in mechanical design, streamline the design process, and effectively solve real-world engineering challenges

In the catering industry, with the development of science and technology, more and more robots are used in catering services, especially in small restaurants, and meal transportation robots have become the first choice for some operators. This review will compare the cost, efficiency (including speed, reliability, accuracy), and customer experience and satisfaction between food delivery robots and manual transportation. Although the development trend of robotics in the catering industry is improving, there are still many challenges in the future, including the use of robots in complex environments, which requires more resources to be invested in research

With the increasing complexity of power systems and higher demands for stability, accurately predicting current fluctuations is crucial. This study proposes an artificial intelligence prediction method combined with multivariate analysis, utilizing multidimensional information such as historical current data, new energy generation output, and meteorological conditions, and modeling through Long Short-Term Memory (LSTM) networks. This method optimizes the data processing process and improves the model's ability to adapt to dynamic changes in data. The results show that the proposed method effectively enhances the prediction accuracy of current fluctuations, providing practical value for grid operation and maintenance as well as fault warnings

Sarcasm detection is an important task in natural language processing (NLP), which aims to identify ironic intentions in text or discourse. Unlike conventional narratives, satire often uses descriptions that are opposite to the literal meaning to convey humor or criticism, and it is widely used in various scenarios such as social media, comment sections, and forums. Accurately detecting satire is crucial for understanding users' true intentions, while remains an open issue due to the freedom of language expression. Compared to face-to-face communication with the extra tone, facial expressions, and body movements, or an article with background and contextual information, a single satirical comment can hardly provide information for the machine to make a correct judgment, which may mislead the model to recognize the emotions contained in the comment. This article aims to introduce the role of different features in machine learning and deep learning satire detection tasks based on current research in this field. In addition, this article discusses the problems of satire detection and looks forward to its future development direction

Quadrupedal robots have emerged as a leading platform for navigating complex and uneven terrains, owing to their biomimetic design and superior adaptability compared to wheeled and tracked counterparts. This review provides an overview of the historical development of quadruped robots, from early mechanical designs to modern advancements in actuation, control, and artificial intelligence. Recent progress in hydraulic, electric, and pneumatic actuation systems, combined with improvements in motion planning algorithms and terrain recognition technologies, have significantly enhanced the performance of these robots in real-world applications. Additionally, key trends such as the integration of artificial intelligence for autonomy and the use of advanced materials for flexible body designs are highlighted. The paper concludes with a discussion of future research directions aimed at further improving the efficiency, stability, and versatility of quadrupedal robots

The development of aerospace technology has become a topic of daily concern and discussion for the benefit of all mankind. As the global temperature rises, the living environment of human beings is threatened, and scientists have decided to work on the development of aerospace technology in order to solve this problem and meet people's needs. Looking at the aviation industry, which is currently accessible to most people, aviation scientists are focusing on aircraft engines. There are different types of engines such as turbojet engines, turbofan engines, paddle fan engines and so on, but the type of engine that meets the needs of most people today is the turbofan engine. This paper introduced the basic information of turbofan engine in the context of literature, for example, the characteristics of turbofan engine such as high efficiency, high thrust, low noise, high reliability, and the problem of durability of high-temperature components that it faces, which can be improved from the research and development of advanced materials and innovative cooling technology

This research mainly investigated the Monte Carlo model through literature review and case analysis. This research provides an example of the area of a circle to quickly understand what a Monte Carlo model is. Through Monte Carlo, this paper introduced some other algorithms based on it, such as Markov chain, Monte Carlo Markov chain algorithm and Metropolis algorithm. In addition, the Ising model was introduced and it was found that the model can calculate the energy change corresponding to different probabilities of spin acceptance or rejection flip using the Boltzmann distribution at the same temperature. The main objective of this research is that most Ising models occur in high-dimensional states, changing the spin will affect the adjacent spins, and the difficulty of calculating the energy changes increases dramatically with increasing dimensions. Research has found that Monte Carlo methods enable Ising model problems in high-dimensional or complex interactions to be effectively solved through Monte Carlo simulations. Through extensive random sampling and statistical processing, Monte Carlo simulations can estimate the transition behavior of each spin

This paper reviews the power system of new energy vehicles, focusing on the types and characteristics of new energy vehicles and their power systems, including the advantages of new energy vehicles and the challenges faced in the future. As one of the most critical strategic initiatives in the current national development and construction, the possible development direction of new energy vehicles is discussed under the background of carbon neutrality and carbon peak regulation strategies. A variety of research methods are used, mainly through the collation and summary of relevant literature. The findings highlight the characteristics and shortcomings of existing new energy vehicles and the importance of optimizing the power systems to improve the performance and sustainability of new energy vehicles

SiC MOSFETs face short-circuit issues in practical applications. When a short circuit occurs in a SiC MOSFET, the high current density causes rapid heat generation, leading to a short short-circuit withstand time. This, in turn, increases the risk of device damage or even the burnout of the entire electrical equipment. To ensure the safe and reliable operation of SiC MOSFETs in electrical systems, research on their fundamental characteristics, short-circuit behavior, and protective driving mechanisms is crucial. This paper investigates two short-circuit failure modes and the factors influencing them