{"title":"Overview of dark matter detection","authors":"Tianyi Shen","doi":"10.54254/2753-8818/43/20240819","DOIUrl":"https://doi.org/10.54254/2753-8818/43/20240819","url":null,"abstract":"Dark matter is a perplexing and hard-to-find form of matter that governs the gravitational dynamics of the universe. This paper presents an overview of the existing comprehension of dark matter discovery, with emphasis on its theoretical structure, detection techniques, and future possibilities. The standard model of particle physics, even though effective in detailing recognized particles and forces, falls short in describing dark matter. Various theories and models, such as the Cold Dark Matter and Weakly Interacting Massive Particles models, have been proposed to explain the character of dark matter. Direct and indirect detection methods, including underground experiments, cosmic microwave background studies and collider experiments, are used to find dark matter. Despite extensive efforts, the direct detection of dark matter particles remains elusive. The detection of dark matter poses various challenges such as weak interactions and the requirement for highly sensitive detectors. Progress in dark matter detection will depend on advancements in detector technology, addressing open questions, and theoretical developments, which will offer insights into the fundamental laws of nature and the structure of the universe.","PeriodicalId":341023,"journal":{"name":"Theoretical and Natural Science","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141799161","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":"Diagnostic analysis of cancer based on machine learning","authors":"Xishi Wang","doi":"10.54254/2753-8818/44/20240415","DOIUrl":"https://doi.org/10.54254/2753-8818/44/20240415","url":null,"abstract":"Cancer, as the second leading cause of death in the world, caused an estimated 9.6 million deaths in 2018, accounting for one-sixth of all deaths. Early detection and early treatment is the best solution for cancer, and now, through machine learning methods, we can achieve accurate judgment of cancer so as to realize precise treatment and reduce the mortality rate of cancer. During this discussion, we will focus on the applications of machine learning methods to diagnose breast cancer, prostate cancer, oral cancer, which use machine learning methods including neural convolutional networks, K-clustering, support vector machine (SVM), and so on. As of now, machine learning has achieved better results than other methods, but due to the importance and complexity of cancer diagnosis and the cost of human computational capacity for diagnosis, we still hope to find a more accurate and effective method to realize the accurate judgment of cancer, and then introduce it into real-life applications.","PeriodicalId":341023,"journal":{"name":"Theoretical and Natural Science","volume":"47 25","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141799659","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":"A review: Ketotifen in its treatment of allergic rhinitis (AR) and relevant disease","authors":"Zhuoran Wang","doi":"10.54254/2753-8818/45/20240637","DOIUrl":"https://doi.org/10.54254/2753-8818/45/20240637","url":null,"abstract":"Allergic rhinitis (AR) is a common disease in the world, which causes various adverse effects on quality of life. There are over 1 billion AR patients globally, with over 300 million cases in China alone. AR is closely related to asthma, 70.3% of children with AR can develop to asthma, and 80-95% of asthmatics have AR. To address the correlation between these two diseases, in 2015, the World Health Organization (WHO) put forward the idea of the same airway, the same disease. Although a relatively low mortality rate, AR confers a significant burden on personal health and society. Ketotifen was an old medicine for asthma and AR etc., invented in 1970. In experiments with rat models and rat peritoneal mast cells, Ketotifen has been demonstrated to effectively inhibit histamine release induced by substances like 48/80. Ketotifen has been proven effective in treating AR and relevant diseases in clinics. We will review the mechanisms of ketotifen in treating AR for further study.","PeriodicalId":341023,"journal":{"name":"Theoretical and Natural Science","volume":"50 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141799729","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 activity of the Nrf2/Keap1 pathway regulates A549 Non-small-cell Lung Cancer (NSCLC) cells motility through RhoAROCK1 pathway","authors":"Jiahao Wu","doi":"10.54254/2753-8818/44/20240888","DOIUrl":"https://doi.org/10.54254/2753-8818/44/20240888","url":null,"abstract":"Purpose: It is observed that Nrf2 transcription factors initiate the production of proteins that play a role in regulating tumor growth, the study aims to discover whether Nrf2 will regulate cell motility in A549 NSCLC cells. The ROCK-RhoA pathway is a significant contributor to cell growth and migration, which can relate to cell motility. There might be a connection between Nrf2 and ROCK-RhoA pathway, the study aims to see whether Nrf2 regulates A549 NSCLC cell motility through ROCK-RhoA pathway. Method: The study will use wound healing assay to visualize cell motility, comparison is made between positive control group(A549 cells treated with brusatol) and negative control group(A549 cells not treated with brusatol), respectively representing the expression level of Nrf2 where it is inhibited or normal. The pathway by which Nrf2 regulates cell motility is studied by western blotting and chemiluminescence. Possible result: There are four main possible results: (1), Nrf2 regulates cell motility in A549 NSCLC cells, the pathway involved in this regulation is ROCK-RhoA pathway. (2), Nrf2 regulates cell motility in A549 cells, however, the pathway involved in this regulation requires further studies to decide. (3), There is no obvious correlation between Nrf2 expression level and cell motility, the inhibition of Nrf2 results in change of expression level of the ROCK-RhoA pathway, however. (4), There is no obvious correlation between Nrf2 expression level and cell motility, ROCK-RhoA pathway is not significantly affected by inhibition of Nrf2 expression, further studies are needed to decide pathways involved. Conclusion: The result of this study provides valuable insights for studying the role of Nrf2 in regulating cell motility and the pathway in the process. It would improve understanding of Nrf2 transcription factor, and how it interacts with pathways to carry out regulation of cell motility. The study also provides future possibilities in terms of cancer treatment and development of gene-based medicine.","PeriodicalId":341023,"journal":{"name":"Theoretical and Natural Science","volume":"51 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141799908","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":"Second-hand car price prediction based on multiple linear regression models","authors":"Yongxin Wang","doi":"10.54254/2753-8818/39/20240564","DOIUrl":"https://doi.org/10.54254/2753-8818/39/20240564","url":null,"abstract":"With the advancement of the automotive manufacturing industry and the convenience of public transportation, the second-hand car market continues to expand. To comprehensively evaluate the price of used cars considering various factors, there is an urgent need for a computational model based on big data and machine learning. This article aims to fulfill this requirement, this article introduces a multiple linear regression model based on machine learning technology, which is applied to predict the prices of second-hand cars. In this study, the author digitized categorical variables and removed factors irrelevant to numerical variables using a dataset containing nearly 1500 samples from the second-hand car market. By constructing a multiple linear regression model with independent variables such as insurance validity, fuel_type, seats, ownership, transmission, mileage (kmpl), engine (cc), kms_driven and registration year with price (unit: ten thousand) as dependent variable. The root mean square error (RMSE) was finally obtained as 13.939.","PeriodicalId":341023,"journal":{"name":"Theoretical and Natural Science","volume":"39 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800005","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":"Aspartame: A review of functional properties and physiology impacts of aspartame","authors":"Yuxin Zhang","doi":"10.54254/2753-8818/45/20240521","DOIUrl":"https://doi.org/10.54254/2753-8818/45/20240521","url":null,"abstract":"Aspartame is a high-intensity, low-calorie, synthetic sweetener which has been approved as a food additive (specifically as a sweetener) in the European Union and several nations worldwide. Primarily, it is employed as a sweetening agent in carbonated beverages, confectionery products, and pharmaceutical preparations. Despite the extensive utilisation of this particular phenomenon, there continues to be ongoing debate over its safety. The Food and Drug Administration (FDA) acknowledges the findings of the International Agency for Research on Cancer (IARC) and the Joint FAO/WHO Expert Committee on Food Additives (JECFA) on aspartame, as stated on July 14, 2023. The classification of aspartame by the International Agency for Research on Cancer (IARC) as possibly carcinogenic to humans should not be interpreted as a direct causal relationship between aspartame use and cancer. This review paper presents a theoretical framework for the utilization of aspartame across several industries. It accomplishes this by examining its physical and chemical characteristics, physiological roles, contemporary approaches to chemical synthesis and biological production, as well as its application in the realm of food. The objective of this narrative inquiry is to enhance individuals comprehension regarding the utilization of aspartame and its potential impact on the human body through an examination of existing research. The present study examined a collection of scholarly papers pertaining to the impact of aspartame on many health aspects, including obesity, diabetes, pediatric and fetal health, phenylketonuria, and the potential carcinogenicity of this artificial sweetener. Further investigation is required in order to provide a comprehensive understanding of the potential impact of aspartame on human health.","PeriodicalId":341023,"journal":{"name":"Theoretical and Natural Science","volume":"44 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800043","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":"Possible effects of treatments durations with Ruxolitinib on inhibiting jak phosphorylation of STAT1 in A549 lung cancer cells","authors":"Junhui Si","doi":"10.54254/2753-8818/44/20240916","DOIUrl":"https://doi.org/10.54254/2753-8818/44/20240916","url":null,"abstract":"This study explores the effects of different treatment durations of Ruxolitinib on inhibiting JAK phosphorylation of STAT1 in A549 lung cancer cells. The JAK/STAT signaling pathway is critical in lung cancer development and progression. By utilizing western blotting, a STAT luciferase reporter assay, and an MTT viability assay, the study evaluates the impact of Ruxolitinib treatment on STAT1 phosphorylation, STAT activation, and cell viability. Understanding how treatment duration influences JAK/STAT pathway inhibition provides valuable insights for developing targeted therapies in lung cancer. This research contributes to addressing the challenges of lung cancer treatment by exploring the potential of Ruxolitinib as a therapeutic agent.","PeriodicalId":341023,"journal":{"name":"Theoretical and Natural Science","volume":"38 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800114","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":"Exploring the effect of eccentricity on geometry nuclear collisions by Glauber Monte Carlo simulation","authors":"Yutian Liu, Yechen Liu, Zelin Liu, Xiaoya Ding","doi":"10.54254/2753-8818/43/20240954","DOIUrl":"https://doi.org/10.54254/2753-8818/43/20240954","url":null,"abstract":"This paper will analyze different properties of a nuclear collision and their correlation with the geometry of collision using the Glauber Monte-Carlo based calculations. Among all properties, the eccentricity is the main focus of this research. In order to investigate its impact on collision parameters, three-dimensional histograms are created, using given collision parameters, under different categories of numbers of participant nucleons. Comparisons between the histograms allow the exploration of connections between this property and the geometries of lead nuclear collisions, namely, the ellipticity of the collision of the two lead nuclei as eccentricity increases from 0 to 1. Our result is intuitive. The ellipticity of the collision has a positive correlation with the eccentricity, as when the difference between the number of participant nucleons on the L1 and L2 axes increases with eccentricity. The number of nucleons participating in the collision also increases with eccentricity. These are all coherent with past studies conducted in this field.","PeriodicalId":341023,"journal":{"name":"Theoretical and Natural Science","volume":"39 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800228","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":"Study of effectiveness of the ARIMA method in forecasting stock process in China","authors":"Kailin Liang, Hongru Wu, Yinuo Zhao","doi":"10.54254/2753-8818/43/20240781","DOIUrl":"https://doi.org/10.54254/2753-8818/43/20240781","url":null,"abstract":"The stock market is volatile, and the prices of stocks are often influenced by various factors that enhance the complexity of stock prediction. According to the literature review, The ARIMA (autoregression average integrated moving average) model is one of the most-used methods for financial prediction, the effectiveness of which has been tested in many countries, which also leads to a need for accurate examination of the model for Chinas A-share market. In the paper, Due to its suitability for short-term forecasting, the ARIMA model is utilized to forecast the prices of three representative A-share stocks over 24 days. Finally, the efficiency of the short-term prediction and the low accuracy of the long-term prediction of the ARIMA model are primarily confirmed, which is worthy of further study.","PeriodicalId":341023,"journal":{"name":"Theoretical and Natural Science","volume":"23 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800943","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":"Fundamentals of the flatness problem","authors":"Zican Zhang","doi":"10.54254/2753-8818/43/20240849","DOIUrl":"https://doi.org/10.54254/2753-8818/43/20240849","url":null,"abstract":"The Flatness Problem is a fine-tuning problem (defined as when a physical constant appears to fall within an arbitrarily precise range such that the current status of the Universe was able to be developed) in physical cosmology, related to the density of matter and energy in the universe. In this paper, I provide an overview of the problem, describing the problems history, beginning with its foundations by Albert Einstein and Alexander Friedmann in General Relativity and the discoveries of Edwin Hubble and Georges Lemaitre regarding the nature and expansion of the Universe. I also present the mathematical basis of the energy density of the Universe by completing a simple derivation from the first Friedmann Equation, before analyzing observational data regarding the apparent density of the Universe. This data comes from the Cosmic Microwave Background and distant Type 1a supernovae. Finally, I explore the possible solutions to the Flatness Problem, including Anthropism and Inflation, and recount each ones strengths and weaknesses.","PeriodicalId":341023,"journal":{"name":"Theoretical and Natural Science","volume":"24 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801357","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}