{"title":"Exploring the hydrogen atom: From wave function to stark effect","authors":"Biyue Ren","doi":"10.54254/2753-8818/30/20241104","DOIUrl":"https://doi.org/10.54254/2753-8818/30/20241104","url":null,"abstract":"As the most basic and abundant atom in the universe, hydrogen atoms have long attracted the interest of scientists and provide the best subject for the exploration of quantum mechanics. This article provides a comprehensive study of the multifaceted characteristics and implications of the hydrogen atom. First, the research deeply studied the basic derivation of the Schrdinger equation of the hydrogen atom and provided the necessary theoretical framework. On this basis, modern computing tools are used to visualize the electron cloud of hydrogen atoms and reveal their shapes and characteristics under different orbits. In addition, the study investigated atomic transitions and associated spectra, elucidating basic quantum transition principles and serving as a benchmark for studying more complex atomic systems. Eventually, the research focus shifted to a specific direction, studying the Stark effect in hydrogen atoms, especially in the n=2 state. This research provides a novel perspective on understanding the fundamental properties of the hydrogen atom and its implications in modern physics research.","PeriodicalId":489336,"journal":{"name":"Theoretical and Natural Science","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139622903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research of Stirling engines applications in vehicle, electricity, heating and cooling","authors":"Hanzhe Jiang","doi":"10.54254/2753-8818/30/20240887","DOIUrl":"https://doi.org/10.54254/2753-8818/30/20240887","url":null,"abstract":"Natural resources are becoming more and more scarce while pollution continues to increase. It is imperative to reduce emissions and improve energy efficiency. As an efficient, low-emission machine, the Stirling engine may be an answer on the road to emission reduction and improved efficiency. Stirling engine has been used in some areas, such as nuclear-powered submarine engines, combined heat and power and Stirling cryocoolers. However, there are still several problems that cannot be ignored in Sterling generators themselves. Stirling generators, characterized by high efficiency and potential for reducing greenhouse gas emissions, face challenges, including high material and assembly costs, complex waste heat treatment processes, and the need for durable, high-temperature resistant materials. Despite current limitations, ongoing research aims to enhance conversion efficiency, minimize size, and lower manufacturing costs, with promising applications in various sectors, including transportation and household energy, representing a significant stride towards green energy power generation in the future.","PeriodicalId":489336,"journal":{"name":"Theoretical and Natural Science","volume":" 37","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139621020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The prediction of Apple stock price based on linear regression model and random forest model","authors":"Yutong Gao","doi":"10.54254/2753-8818/30/20241077","DOIUrl":"https://doi.org/10.54254/2753-8818/30/20241077","url":null,"abstract":"In the financial market, due to various factors, the stock price fluctuation is universal. Therefore, the directional prediction of stock market price based on technical analysis is very important in stock investment. This paper conducted a regression analysis and forecasted the future trends in the close price of Apple stock through recent five years between 2018 and 2023. For the purpose of this specific study, this paper did descriptive statistical analysis of the dataset, and made graphs and analyses of regression and predictions relied on the techniques of the Linear Regression Model and Random Forest Model. Based on the three indices: MSE, RMSE, and MAE, the paper compared the advantages and disadvantages of the two machine learning methods. The result of the experiments indicated that the regression generated through employment of the Linear Regression Model outperforms the result of the Random Forest Model, leading to the conclusion that Linear Regression Model is a more effective method to forecast in this dataset.","PeriodicalId":489336,"journal":{"name":"Theoretical and Natural Science","volume":" 79","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139620875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unmanned aerial vehicle face recognition technology research progress","authors":"Jiakang Hao, Xinglu Zhu","doi":"10.54254/2753-8818/30/20241073","DOIUrl":"https://doi.org/10.54254/2753-8818/30/20241073","url":null,"abstract":"In recent years, face recognition technology has become a significant advance in the area of biometrics and machine vision. It paves the way for a wide range of applications, including security systems, access control, surveillance, and user authentication. These applications are undoubtedly a major innovation in the field of UAV, which will greatly expand and extend its application scenarios. This paper shows a compositive review of UAV facial identification technology, including its basic principles, techniques, challenges, and ethical considerations. According to the different stages, this paper focuses on RCNN and YOLO, two more widely used target detection technologies and their respective technical iterations, and through the comparison of the two in terms of technical characteristics and application scenarios, the advantages of the two are obtained, and combined with the current UAV workflow. Get the stage in which they play a specific role. This paper reviews the existing literature and research on face recognition, aiming to help people better understand the current process of this technology and its wider social application and impact.","PeriodicalId":489336,"journal":{"name":"Theoretical and Natural Science","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139621268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The research of analysis lung, bronchus and trachea cancer death rate in US","authors":"Xidan Zhang","doi":"10.54254/2753-8818/30/20241024","DOIUrl":"https://doi.org/10.54254/2753-8818/30/20241024","url":null,"abstract":"This research delves into an analysis of lung, bronchus, and trachea cancer rates in the United States across genders. Employing the data spanning seven decades (1950-2020) sourced from the Our World in Data website, the study leverages time series modeling techniques, ARIMA and ETS models. The ARIMA methodology initiates with an assessment of data stationarity, followed by differencing procedures to transform the dataset into a non-stationary data. Subsequently, Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) plots are examined. Last, the ARIMA model is fitted to dissect the mortality rates among males and females. Simultaneously, the ETS model is directly applied to the mortality data of both genders. The components of the ETS model and the check residuals for ETS are delineated. The outcomes reveal the trends: both genders exhibit a discernible decline in lung, bronchus, and trachea cancer death rates over the period. Despite this downward trajectory, the persistent mortality rates underscore the gravity of the issue. This paper advocates for a heightened focus on lung-related cancers. Understanding and addressing these mortality rates are imperative.","PeriodicalId":489336,"journal":{"name":"Theoretical and Natural Science","volume":" 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139622264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Majorana fermions and its application on topological quantum computer","authors":"Chengyi Wang","doi":"10.54254/2753-8818/30/20241092","DOIUrl":"https://doi.org/10.54254/2753-8818/30/20241092","url":null,"abstract":"The majorana fermion represents a kind of particle which is its own antiparticle. This paper aims to analyze the majorana fermions from theoretical aspect and application aspect, including the derivation of Dirac equation and the practicality of topological quantum computer. This paper explores the idea of Majorana fermions from Dirac equation and the anyons which is an important quasi-particle to build a topological quantum computer. After that, the potentials of quantum computer are emphasized as well. Several current major difficulties faced by building a quantum computer have also been discussed, including the decoherence of qubit and the errors during the operation of qubit. The advantages of topological computer are mentioned as well, especially the high resistance to local perturbation. The important property of two-dimensional non-abelian anyons has been discussed as well. Finally, the important relation of majorana fermions with anyons are introduced and the reason why majorana fermions is important has also been revealed.","PeriodicalId":489336,"journal":{"name":"Theoretical and Natural Science","volume":" 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139620707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quantum entanglement: Principles and research progress in quantum information processing","authors":"Yunpeng Tao","doi":"10.54254/2753-8818/30/20241130","DOIUrl":"https://doi.org/10.54254/2753-8818/30/20241130","url":null,"abstract":"Quantum entanglement is a peculiar phenomenon in quantum information science, characterized by nonclassical correlations between quantum states of subsystems in a quantum system. Since the proposal of the Einstein-Podolsky-Rosen (EPR) paradox by Einstein, Podolsky, and Rosen, quantum entanglement has sparked intense debates on local realism. Bells inequality experiment established the nonlocality of quantum mechanics. Currently, high-dimensional quantum entanglement of both deterministic and random states can be realized in systems such as photons and cold atoms. Technologies such as quantum teleportation, quantum teleportation, quantum computing, and others rely on quantum entanglement to achieve effects beyond classical limitations. Current research focuses on the implementation of macroscopic quantum entanglement and its significance in fundamental problems of quantum mechanics. Quantum entanglement opens up a new paradigm for information processing with broad application prospects. It is necessary to conduct in-depth research on the nature of quantum entanglement and its advantages in information processing. This paper reviews the theoretical foundations of quantum entanglement, methods of generation and detection, and research progress in its applications in the field of quantum information. It discusses the important applications of quantum entanglement in quantum communication, computing, and sensing and provides an outlook on the future development prospects of quantum entanglement technologies.","PeriodicalId":489336,"journal":{"name":"Theoretical and Natural Science","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139622191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recent advances of computational simulation on polarons in organic-inorganic hybrid perovskites","authors":"Yijia Zou","doi":"10.54254/2753-8818/30/20241111","DOIUrl":"https://doi.org/10.54254/2753-8818/30/20241111","url":null,"abstract":"Organic-inorganic hybrid perovskites are prized for their exceptional properties and ease of use, finding applications in high-efficiency, cost-effective solar cells. Hybrid perovskite materials, belonging to the perovskite family, possess unique crystallographic and electronic structures that benefit from versatile phase transitions and component modifications. The crystal structure and electronic characteristics of perovskites facilitate the generation of polarons, which are quasiparticles that readily form in organic-inorganic hybrid perovskites due to the coupling of excess electrons or holes to ionic vibrations and play a pivotal role in shaping the electronic properties. This review delves into the polarons within organic-inorganic hybrid perovskites, in which the formation and interaction of polarons within the crystal lattice and their profound impact on material properties. Computational simulations offer insights into polaron characteristics, such as phonon density of states, carrier-phonon coupling, and polaron dynamics. Therefore, it is of vital importance to make clear the fundamental properties focusing on polarons in perovskite, since a comprehensive understanding of them would significantly facilitate the enhancement of the electronic and optoelectronic characteristics, and eventually contribute to the release of their full potential in real-world applications","PeriodicalId":489336,"journal":{"name":"Theoretical and Natural Science","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139622701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimization of basic PID control algorithm based on genetic algorithm and Matlab","authors":"Yingjie Ma","doi":"10.54254/2753-8818/30/20241103","DOIUrl":"https://doi.org/10.54254/2753-8818/30/20241103","url":null,"abstract":"This paper investigates how to optimize the basic PID algorithm by using population genetic forms. \"In traditional PID control, the tuning of PID parameters mostly relies on the experience of the tuner. The main purpose of this paper is to use an algorithm that can automatically tune its parameters to self-tune a PID controller for an actual model.\" Based on the principle of genetic algorithm, this paper compares the traditional PID controller tuning methods to study the trend of the PID parameters during the iteration process as well as the trend of the PID controller adaptability. Through the principle of the algorithm and the iterative output, as well as in the code set the weights occupied by different performance indicators, it can not only flexibly adjust the degree of adaptation and make the algorithm more flexible, but also prove that the use of genetic algorithms for the rectification of the PID is more adaptable and convenient, with promising research prospects","PeriodicalId":489336,"journal":{"name":"Theoretical and Natural Science","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139623161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predicting Twitter stock price using linear regression, random forest, and MLP regression","authors":"Ziyu Huang","doi":"10.54254/2753-8818/30/20241093","DOIUrl":"https://doi.org/10.54254/2753-8818/30/20241093","url":null,"abstract":"Since the chaos and complexity in the stock market, predicting stock prices with machinery approaches helps assert a new perspective for people to reach satisfactory results in stock analysis. The stock price of Twitter reflects its market value and performance, which are influenced by various factors such as user engagement, revenue, news, and sentiment. Predicting the stock price of Twitter is a challenging task that requires sophisticated methods and data analysis. In this essay, the author compares three different machine learning models to predict Twitters stock price: linear regression, random forest, and MLP regression. The paper uses historical data on Twitters stock price and various features such as volume, peak value, and trough value. The researcher evaluates the performance of each model using metrics such as Mean-squared Error and R-squared and finds that MLP regression outperforms the accuracy and generalization of the other two models. The author also discusses the limitations and implications of our findings for investors and researchers.","PeriodicalId":489336,"journal":{"name":"Theoretical and Natural Science","volume":" 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139621241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}