bluuebunny/crossref_metadata_2025 huggingface dataset:
A Momentum Decision Recommendation Model based on Random Forest and Game Theory Methods
Authors: Lian Zhengxuan
Published: June 2024

Momentum, as an important indicator of athlete status, has been widely used in sports competitions. This paper chose tennis games to establish standard momentum measuring model, momentum forecast model, tennis game model based on mixed strategy simultaneous decision game under momentum influence. First, this paper constructed a standardized physiological and psychological measurement model for player momentum using critic weight method and coefficient of variation method, which is highly correlated with score. Second, this paper used the random forest algorithm to predict the trend of the competition and obtained the weights of the factors that affect the momentum. Lastly, this paper further introduced the concept of game theory and established a payment matrix based on mixed strategy simultaneous decision game to calculate the Nash equilibrium solution of both parties under the influence of the current momentum. According to the models, this paper can predict the trend of the athlete's status and prompt the coach or the athlete to make a more correct choice according to the status of both sides.
Electromagnetic Acceleration: Principles, Applications, and Challenges
Authors: Guo Yuekang , Qiao Zhihao , Ren Xingyu
Published: June 2024

This article provides an overview of electromagnetic acceleration, which involves using a magnetic field to accelerate charged particles, such as ions or electrons, and is widely used in various fields of science and technology. The article describes the principles of electromagnetism and its application in scientific research, transportation, military, and aerospace. It discusses the potential of electromagnetic acceleration to revolutionize high-speed rail travel and space exploration, but also highlights the engineering challenges, particularly regarding the high voltages and currents required to generate the necessary magnetic fields. The article also presents the classification and principles of electromagnetic emission technology, focusing on the three types of electromagnetic launchers: rail, coil, and reconnection. The rail-type electromagnetic launcher is a single-turn DC motor that consists of a pair of parallel metal rails and a sliding armature, while the coil electromagnetic launcher has multiple stages of coils and a transmitter coil or armature. The reconnection electromagnetic launch is a relatively new area of research, and its system consists of a coil with a gap and a magnetic core. Overall, this article provides an in-depth look at the fundamentals of electromagnetic acceleration, its practical applications, and the potential for future research and development.
Implementing stock prediction using partial least squares
Authors: Peng Chengfei
Published: June 2024

This paper demonstrates that a considerable number of investors are entering the stock market as the economy displays signs of post-epidemic recovery. Nevertheless, even though the stock market acts as the foundation of the financial sector, not all stockholders can achieve significant profits from it. Yet, stock prices in the stock market have been challenging to keep rational and lack a stable pattern, marked by a notable level of uncertainty, which complicates investment decisions. Consequently, this paper aims to employ scientific mathematical techniques for the analysis and prediction of stock prices, with the goal of achieving a more comprehensive grasp of the stock market's general trend, thereby promoting prudent investment planning.
Research on Wordle based on ARIMA and GBDT models
Authors: Nie Zhongnan , Wu Hang , Song Yongqiang
Published: June 2024

Wordle is a very popular word guessing at the moment, where players have a total of six chances to guess a five-letter word. Based on the AMIRA time series model, this paper analyzes the data and predicts the changes in the number of people who submit reports in the future, and then analyzes the word attributes that affect the accuracy of word guessing according to a large number of actual data, and establishes a Gradient Boosting Decision Tree (GBDT) model according to the determined word attributes to predict the correct guess rate of any word, and finally predicts and analyzes the word "EERIE".
Research Progress on Cathode Materials for sodium-ion batteries
Authors: Niu Ziwen
Published: June 2024

In recent years, the new energy industry has developed rapidly, and sodium-ion batteries (Hereinafter referred to SIB) is becoming the new favorite in the industry due to their lower cost and higher safety. This article mainly discusses the advantages and disadvantages of SIB and the research progress of cathode materials that have the greatest impact on the performance of SIB. SIB with polyanionic compound cathodes have the advantages of good stability, cycle performance and safety, but its specific capacity is low and its conductivity is poor. Layered oxide materials have the advantage of high specific capacity and high compatibility with lithium battery ternary cathode process equipment. It is also the fastest technical route for industrialization at present. However, due to the deintercalation process of sodium ions, the layered metal oxide is prone to structural changes or phase transformations, resulting in the degradation of battery cycle performance. Prussian blue cathode materials are easy to synthesize, Na+ migrates quickly, and the battery capacity is large, but its battery capacity is prone to rapid decline. In general, sodium-ion batteries have good development prospects, but there are still some problems waiting for researchers to solve. This article summarizes the current research progress and problems that need to be solved on cathode materials for sodium-ion batteries, hoping to provide new ideas for researchers.
Quantitative Research of Tennis Match Momentum Based on Factor Analysis and Granger Causality Test
Authors: Zhang Xin , Yang Liyuan , Wu Xianghui
Published: June 2024

This paper studies the phenomenon of "momentum" in the men's final of 2023 Wimbledon Tennis Championships. The potential factors influencing momentum were extracted by factor analysis, and the momentum quantification model was established. Meanwhile, Granger causality test is used to verify the causal relationship between momentum and game score. The results show that momentum has a significant impact on the score of the game, which proves that momentum is the key factor affecting the result of the game. This study provides an important tactical reference for coaches and athletes to better harness momentum and improve performance.
Vegetable commodity pricing and replenishment strategy based on GA-XGBOOST algorithm
Authors: Yang Lijiale , Huang Chenglong , Wu Shilei
Published: June 2024

In this paper, for the problem of vegetable commodity replenishment, sales volume and cost-plus pricing, firstly, we analyzed the distribution law and correlation relationship of sales volume of different categories and individual products of vegetables, then we used ARIMA time series model and wavelet analysis method to solve to get the relationship between sales volume change and time, and found that sales of flower and leaf category fluctuated more stably with the time series, and showed cyclic changes in the first two years; Then K-means clustering algorithm and Spearman correlation coefficient were used to derive the correlation of sales volume between categories and individual products. Through the K-means model, all individual products are divided into four categories, and the more groups, the greater the correlation. In this paper, support vector machine, random forest, linear regression, GA-XGBoost and other methods were used to establish the pricing and total sales volume regression model respectively, and GA-XGBoost was selected as the optimal model by combining the evaluation indexes. Finally, using the GA-XGBoost algorithm based on the sliding window tree, the time series data is converted into regression data to find the optimal replenishment and pricing prediction value of six categories of commodities for one week, and get the optimal value of daily revenue of the superstore. For example, if the sales unit price of the chili pepper category is set at RMB 20.642, the predicted sales quantity and superstore revenue will be 386.918kg and RMB 5296.856, respectively.
WTI Crude Oil Price Forecasting for the Next Year Using ARIMA Model
Authors: Wang Tianxiang
Published: June 2024

The analysis and prediction of crude oil prices carry significant importance due to the increasing prominence of crude oil in the global economic market and its impact on individuals' daily lives. The crude oil price has significance in other industries, and there is an increasing presence of derivatives such as stocks and options. An escalation in the price of crude oil may result in an upward trend in gasoline prices, augmented shipping expenses, and amplified input costs for companies. This study utilizes the WTI crude oil price data from the first day of each month from January 2019 to September 2023 to provide a projection for the WTI crude oil price in 2024. During the investigation, identifying a trend demonstrating normalcy within the dataset has been utilized to effectively incorporate the ARIMA model, thereby serving the objective of forecasting. The phenomenon of bounce between up and down experiences a transition towards a flattened pattern by September 2023. Based on our forecasting analysis, it has been determined that the crude oil price is projected to exhibit a sustained plateau in 2024. While minor fluctuations in price may occur, the overall trend indicates a steady value of approximately 100 USD/Bbl.
Application of Digital Technology in the Operation and Safety of Rail Transit in China
Authors: Huang Shanlin
Published: June 2024

With the continuous improvement of living standards, people pay more and more attention to travel. Rail transit, as the main way for people to travel, has aroused widespread concern. In recent years, with the continuous progress and development of technology, more and more digital technologies have been applied to the field of rail transit, which has comprehensively improved the level of urban rail transit. This paper mainly discusses the application of digital technology in the field of rail transit safety and operation, and introduces the Device-to-Device Communication (D2D) technology, fully automatic operation technology. D2D technology can speed up information transmission efficiency, and fully automatic operation technology can reduce labor consumption and improve operation efficiency. Three-dimensional laser scanning technology and Building Information Modeling technology (BIM) are new technologies in traffic safety. Three-dimensional laser scanning technology can improve detection efficiency and avoid accidents. The traffic operation and maintenance management system based on BIM technology can quickly detect equipment failures and minimize losses after failures. It suggests paying more attention to automatic operation technology, interconnection technology and intelligent operation and maintenance management technology to improve the operation performance, and help urban rail transit further intelligent and information-based development.
Research on the Influencing Factors that May Lead to Heart Attack
Authors: Wang Xichen
Published: June 2024

Coronary artery disease stands as the primary factor leading to most heart attacks, a prevalent type of heart condition. This condition arises when the coronary arteries, which play a crucial role in delivering oxygenated blood to the heart muscle, face obstruction. The obstruction is due to the accumulation of plaque, a waxy substance that narrows the arteries over time. This narrowing can lead to angina, a condition where blood flow to parts of the heart muscle is restricted. Over time, the plaque within the artery has the potential to rupture, leading to the formation of a blood clot on its surface. Findings indicate that when this clot reaches a significant size, it has the capacity to obstruct the normal blood flow to the heart. Without proper intervention, it can result in damage to a specific portion of the heart muscle. It's crucial to note that not all heart attacks stem from these blockages. In instances where alternative heart and blood vessel conditions instigate a heart attack without the presence of obstructive coronary artery disease (referred to as MINOCA), the findings reveal that it is labeled as a myocardial infarction.
Research On Dynamic Optimization of Multi-Beam Bathymetry Based on Computational Geometry
Authors: Rao Yufan
Published: June 2024

The purpose of this study is to construct a mathematical model of the coverage width W and the overlap rate η between adjacent strips of multi-beam measurement by computational geometry method in the case of uniform slope of seabed topography, and to study the optimization of the channel line in the area to be measured. The purpose of this study is to construct a mathematical model of the coverage width W and the overlap rate η between adjacent strips of multi-beam measurement by computational geometry method in the case of uniform slope of seabed topography, and to study the optimization of the channel line in the area to be measured. By looking for the geometric relationship of the coverage width W, the mathematical model of the repetition rate η related to the coverage width W is obtained, and the data of seawater depth, coverage width and coverage rate η at different distances from the center point are calculated. Secondly, considering the change of the channel angle, the mathematical model between the offset angle ψ and the coverage width W of the aerial survey line is finally obtained. Finally, based on this result, the design of the shortest aerial survey line for sounding in the rectangular sea area to be measured is discussed. The arrangement of the main survey line needs to meet the requirements of the bar overlap rate index [ 1 ] In this study, a mathematical model is established for the problem of multi-channel angle sounding with slope topography. The relevant research results can be used for the subsequent research of more complex multi-beam sounding problems.
Discussion on the Treatment of Skin Diseases based on Six-meridian Syndrome Differentiation
Authors: Du Yuyan , Tian Bingkun
Published: June 2024

The causes of skin diseases are complex, and the incidence rate is also increasing in recent years. The syndrome differentiation of six meridians is an important syndrome differentiation system of traditional Chinese medicine, and many of these prescriptions also have good curative effect in the treatment of skin diseases. The author hopes that the treatment principles and methods can provide a wider range of treatment ideas for the clinical treatment of skin diseases.
Mechanism and Protective Measures of Thermal Runaway in Lithium-ion Batteries
Authors: Lu Yihan , Zhao Sifan , Zhu Junhao
Published: June 2024

Due to its benefits of having a high energy density, safety, and being environmentally friendly, lithium-ion batteries (LIBs) have developed into the most widely used energy storage equipment. However, LIBs are prone to frequent safety mishaps because of thermal runaways in large-scale commercial applications in industries including electric passenger vehicles, portable electronic gadgets, and distributed energy storage. The primary cause is because mechanical, electrical, and thermal abuse of LIBs can result in thermal runaway and potentially hazardous conditions including combustion and explosion. As a result, this essay begins by examining the causes of thermal run away from the standpoint of LIB misuse. The investigation of LIBs' safety features became the primary concern after that. primarily separated into interior and exterior protection. The electrolyte, diaphragm, and electrode are the three primary areas that are optimized and improved when it comes to internal protection. Through battery management systems, cooling technology, and blocking technology, external protection primarily lowers dangers. Finally, to serve as a reference for future security research on LIBs, the pertinent security challenges of LIBs were prospected.
Comprehensive Optimization of Optical Efficiency and Thermal Power Output in Tower Solar Thermal Power Stations
Authors: Chen Rende , Zhou Xiaozhou , Song Hongwei
Published: June 2024

Recent years have seen a rise in interest in renewable energy sources, particularly efficient, sustainable, and ecologically friendly solar thermal power generation, due to rising worldwide energy demand and environmental consciousness. The effectiveness of a tower-type photovoltaic power-generating system, which uses concentrated solar radiation to create electricity, is greatly dependent on the design and functionality of its heliostat mirrors. This work develops a single-objective optimization model to optimize the yearly average thermal power production per unit mirror area based on a fixed-sun mirror field model of a tower-type solar thermal power plant. This study uses the approximate formulas for the solar declination angle and solar time angle proposed by Cooper to determine the sun's position at that time. The HFLCAL model has been developed to establish an optical efficiency model for the heliostat field, utilizing the Campo arrangement method to produce a densely packed heliostat field. Finally, a genetic algorithm is employed to determine the optimal unit of mirror surface area, which is calculated to be 0.9575MW. The absorption tower is located at (0,-87.5656). The heliostat measures 4.7825m×4.3666m (width×height), with an installation height of 3.1332m, and there are a total of 3010 heliostats.
Analyzing the Daily Air Quality Index in the U.S. in Time Series
Authors: Chen Mengyuan
Published: June 2024

This paper presents a comprehensive evaluation of Air Quality Index (AQI) trends in the United States using the ARIMA (0,1,2) model, an established approach in time series analysis. The study focuses on determining daily variations in air quality, given the importance of AQI in public health and environmental policy. The chosen ARIMA model successfully represents AQI variations since it has no autoregressive component, one order of differencing, and two moving average terms. The model anticipates air quality conditions consistently, and its performance is measured using statistical measures such as Mean Error (ME), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). This study is improved by placing the AQI within the context of larger environmental and meteorological variables. This study also investigates the consequences of these estimates for public health and environmental policy, recognizing potential limits and proposing further research approaches. It emphasizes the complexities of air quality forecasting and the possibilities for using advanced modeling approaches and external factors to improve prediction accuracy. The findings are important for environmental analysts, public health professionals, and policymakers because they contribute to a more thorough understanding of air quality dynamics and prediction approaches in the context of environmental health.
Big Data Analysis in Consumer Behavior: Tourism, Household Energy and Mobile Payment
Authors: Xiao Kunliang
Published: June 2024

As a matter of fact, with the improvement of people's living standard, research on consumer behavior is increasingly emerging. Among them, the use of big data to study consumer behavior has become an important part of today's consumer research. With this in mind, through the study of big data in three specific aspects (i.e., tourism consumption, household energy consumption, as well as mobile payment consumption), this article compares the models of big data in studying consumer behavior. According to the analysis, it reflects the high efficiency, speed, and convenience of big data. In addition, the implementation of big data analysis is feasible in the consumer behavior analysis. At the same time, the current limitations for the state-of-art applications and models are analyzed and demonstrated. In the meantime, the future prospects and improvement suggestions are proposed accordingly. Overall, these results shed light on guiding further exploration of consumer analysis in terms of the big data techniques.
A Study on the Optical Efficiency of Solar Concentrators Based on Ray Tracing Method
Authors: Li Yize
Published: June 2024

This paper calculates the solar altitude angle, solar azimuth angle, and normal direct solar radiation. Subsequently, utilizing geometric optics and ray propagation theory, this study employs vector methods combined with the law of light reflection to compute the cosine efficiency. By characterizing the equivalent shadow shading using the topological properties of connected regions, the approximate shadow shading efficiency is determined through the element method. Finally, based on the principles of ray tracing, this paper derives the Gaussian flux density distribution formula for the collector truncation efficiency and calculates the truncation efficiency. Ultimately, through iterative calculations and averaging for different times and locations, this paper successfully obtains the optical efficiency and annual average output thermal power of the solar concentrator field at various time points. The annual average optical efficiency, annual average cosine efficiency, annual average shadow shading efficiency, and annual average truncation efficiency are found to be 0.64, 0.76, 0.96, and 0.98, respectively. Consequently, the annual average output thermal power and the annual average output thermal power per unit area are determined to be 38.93 and 0.62, respectively.
Analysis on Power to Hydrogen and its Benefit
Authors: Li Yumo
Published: June 2024

The purpose of this paper is to give a general idea of how power to hydrogen used in the future. Also give the analysis on advantages and disadvantages of power to gas. To support the analysis, the paper provides the method of how to make the hydrogen and the application of hydrogen. The technology is to separate the gas into hydrogen and methane to be widely used, they are convenient for transportation, small marginal coefficient of gas storage cost, and convenient for long-term and large-scale storage. Compared with other forms of storage of electric energy, such as pumping energy storage and battery energy storage, there is a broader prospect for storing electrical energy in the form of gas.
Research Progress in Photo functional Materials for Catalytic Carbon Dioxide Reduction Reactions
Authors: Chang Ziyan
Published: June 2024

Since the turn of the twenty-first century, the need to find new energy sources to create a low-carbon society has grown urgently due to the ongoing rise in greenhouse gas emissions, which are mostly caused by CO2. The technique that uses solar energy to convert CO2 into hydrocarbon fuels can produce high-value hydrocarbon fuels like methane, methanol, formic acid, or C2+. This is a promising method of achieving global carbon balance. One of the key elements influencing the process of photocatalytic CO2 reduction is the presence of materials having photocatalytic properties. Therefore, exploring and developing efficient photocatalytic functional materials is the main direction of research today. This article first introduces the development history of photo-functional materials and analyzes their mechanisms in photocatalytic reactions. Then, different types of optical functional materials were classified and introduced in detail. Finally, the development trend of photo-functional materials in the catalytic reduction of CO2 was emphasized.
Investigate the Theoretical Significance and Applications for Differential Geometry
Authors: Sun Chenhe
Published: June 2024

With the development of modern science and technology, mathematics, physics, and fluid science have played a crucial role in scientific progress. As an important branch of mathematics, differential geometry is the key to studying these disciplines, which have a wide range of applications in fields such as mathematics and applied science. At present, mathematicians have not made ideal progress in the field of differential geometry research. As one of the important research topics in the current mathematical community, differential geometry research also has extensive research value and can provide mathematical models for the development of other scientific and technological fields. Therefore, this study mainly focuses on the development history and some basic knowledge of differential geometry. The application of differential geometry is explored through the study of the origin and development of differential geometry. This paper aims to find that differential geometry has essential research value and is indispensable in developing basic disciplines and future science.
Research on Heart Disease Auxiliary Diagnosis based on Naive Bayes Classification
Authors: Ye Zhaoxi
Published: June 2024

Cardiovascular diseases (CVDs) have become a global health crisis, drawing widespread attention due to their severity and the significance of associated risk factors. The gravity of the situation necessitates a concerted effort to develop effective predictive tools and intervention methods to combat the escalating burden of heart diseases. As a result, this study addresses the urgent need for early prediction and intervention strategies for heart diseases. It collects various medical data related to heart disease patients, screens and extracts key datasets, and constructs a robust predictive model using the Naive Bayes method. The model is capable of analyzing and extracting predictive-relevant key features from a large set of diverse categorical features, thereby enhancing the efficiency and accuracy of the Naive Bayes model. With input from a relatively small amount of medical data, the model can assess an individual's risk of developing heart disease. This innovative approach not only conserves precious healthcare resources but also empowers healthcare institutions with the capability to monitor patient conditions and take timely, well-informed actions. Despite its inherent limitations, this research represents a significant step towards model-assisted heart disease prediction and highlights the potential application of machine learning models in the medical field, paving the way for future studies in personalized medicine.
Stock Price Prediction using the ARIMA Model
Authors: Yu Ziyue
Published: June 2024

Stock price prediction is a common topic in finance and economics that investors are interested in. Successful forecasts in stock price can bring significant profits to individuals and communities, thus, it is to be regarded as an important factor that is related to the whole economic society. Over the years, researchers have developed myriad models to figure out the pattern of price change. The autoregressive integrated moving average ARIMA model is one of the well-known statistical models. This paper is going to demonstrate the application of the ARIMA model using real stock data from the China Stock Market & Accounting Research Database CSMAR. The research would be conducted with the assistance of SPSS. In this paper, results obtained not only refer the potential usefulness of the ARIMA model to identify and predict trends in the stock market, but also imply the oversimplification of the model based on a particular stock’s performance in a real financial market.
Indoor Breeding Environment Monitoring System
Authors: Wan Chaoji , Chen Chao , Zhong Weiwei
Published: June 2024

In response to the problems of low survival rate, high labor cost, and difficult environmental monitoring in modern indoor aquaculture, cloud server technology combined with Arduino related hardware equipment is adopted to achieve real-time monitoring, automatic control, and automatic alarm functions of indoor environmental data. A human-machine interaction interface is provided on the server and mobile phone, providing a good environmental monitoring platform for breeders. By utilizing automation technology, intelligent devices can automatically collect environmental data and control equipment to perform corresponding actions based on changes in the environment, effectively improving the survival rate of aquaculture and reducing labor costs.
Set Theory and Third Mathematical Crisis: A Series of Events Reflected Upon the Mathematical Foundation
Authors: Wang Yinhan
Published: June 2024

The basis of mathematics remains a highly debated and prominent subject among the mathematical community. The absence of a solid mathematical basis gives rise to a range of occurrences, such as mathematical crises. There is a multitude of arguments pertaining to the Mathematical Foundation. This research aims to elucidate the need for a foundation in mathematics and examine the origins of mathematical crises via an analysis of Classical Mathematics. Subsequently, an examination of three significant mathematical crises and the subsequent evolution of Mathematics over the 19th and 20th centuries will be undertaken. The Third Mathematical Crisis is a significant component of this work. Subsequently, a comprehensive exposition will be presented on the three prominent educational institutions that emerged during the Third Mathematical Crisis. This paper aims to provide a comprehensive analysis of the Third Mathematical Crisis, with a particular focus on the axiomatization of Set Theory. The process and outcome of this crisis will be thoroughly examined and discussed. There are counterexamples that challenge the notion of Set Theory as a basic theory. This paper will mostly concentrate on the subject of Category Theory. This paper provides an introduction to the genesis and identity of Category Theory, along with a concise explanation why the widespread interest among mathematicians in this field and its potential as a foundational framework for Mathematics. As a consequence, Category may serve as a fundamental basis to a significant degree.
Recovery from the Pandemic: The Study of Fluctuations and Short-Term Forecasting in The Canadian Health System Workforce
Authors: Zhu Yipeng
Published: June 2024

The healthcare industry is an area that should be meticulously planned to meet the needs of the population under any circumstances. Studying changes in the healthcare and social assistance workforce can provide direction and data support for these plans. However, at times, the factors influencing workforce changes are diverse and unpredictable. The grey system is a simple method used for handling incomplete data and conducting short-term forecasts. Its main advantages lie in its adaptability to small sample sizes and incomplete data, as well as its interpretability. Nearly all businesses were significantly impacted by the COVID-19 epidemic in 2020, but the healthcare industry was particularly heavily afflicted. By establishing a grey forecasting model based on data of the healthcare and social assistance industry workforce in Canada, this study aimed to simulate trends and predict future values of the industry’s labour force. The results indicate that the data has consistently grown at a relatively constant rate in the decade, with noticeable fluctuations in growth rate occurring during the COVID-19 pandemic. However, after 2021, the growth rate gradually returned to pre-pandemic levels.
Effect Analysis of Fourier Transform and Neural Network on Image Noise Reduction
Authors: Yang Weiran
Published: June 2024

During the acquisition, transmission, and processing of digital images, noise often appears in the pictures, seriously affecting the quality of the images and the accuracy of subsequent analysis. To solve this problem, many scholars have conducted in-depth research on image denoising, aiming to find denoising methods suitable for different scenarios. This study aims to compare the effects of Fourier transform and neural network methods in eliminating stripes in pictures. The discrete Fourier transform denoising method performs best in sharpness and has a fast processing time, but its image restoration is poor. Although the artificial neural network method has a long processing time and depends on the training set, it has good noise reduction effect. The Photoshop (beta) method is relatively simple and easy to use, with good overall effect. It is hoped that through further research, a better understanding of the role of Fourier transform and neural network methods in image noise elimination can be achieved, providing more references for the development of image processing technology. This article introduces in detail the Fourier transform method and neural network method, analyzes their advantages and disadvantages and scope of application. These results shed light on guiding further exploration of noise reduction.
Integration and Its Applications on Integral, Limit, and Beyond
Authors: Tian Xinran
Published: June 2024

The definite integral is a very important concept in real analysis and it has many applications in diverse disciplines. For example, the area under the curve can be calculated by cutting and approximating the curve, and the arc length of the curve and the volume of the rotating body can be solved by the definite integral. Therefore, definite integral has a wide range of applications in the field of science and engineering, such as circuits, mechanics, fluid mechanics, quantum mechanics. It also has application on other fields that will involve the operation of integral to promote the development of science, which makes it important for the whole science area. However, in the process of studying definite integrals, people will face many problems, such as insufficient theoretical support, lack of professional guidance, and insufficient timely summary in the research process. In order to solve these problems, researchers should correct their attitude towards scientific research, be realistic and down-to-earth. The purpose of this paper is to express the opinion on definite integral and hope to carry forward the great development of definite integral.
Zelfde boodschap, nieuwe technologie
Authors: Wienen Henrik
Published: June 2024

Kilometers Autobahn schieten onder mij door. Ik ben onderweg naar Karlsruhe. Over enkele uren heb ik daar een gesprek met een grootheid op het gebied van het thema online kerk in Duitsland. Ik ben een tikkeltje zenuwachtig, sinds de middelbare school heb ik nauwelijks nog Duits gesproken. Gelukkig heb ik een geduldige leraar die mij op deze reis ondersteunt. Mijn telefoon is verbonden met mijn auto en ik zet ChatGPT aan met spraakondersteuning. Ik vraag hem mij te helpen bij het oefenen van Duits. Mijn instructies zijn helder: voer een gesprek met me in het Duits en corrigeer me waar nodig. En: als ik een Nederlands woord voor iets gebruik, geef me dan de vertaling van dat woord. Urenlang spreek ik zo Duits en leer ik waardevolle praktische uitspraken die mij later die dag enorm zullen helpen.
Managing the Dual Business Model Trade-off in Multinational Corporations
Authors: Mozheiko Sergei , Sund Kristian J.
Published: June 2024

When a multinational operates different business models in different markets, a trade-off typically exists between local-market adaptations and cross-market economies of scale and scope. How do country managers navigate these trade-offs and the tensions inherent in developing and operating such dual business models? In this short paper we explore how a local subsidiary can innovate its business model in a way that creates alignment with the local market while respecting the larger corporate structure. We study the Chinese subsidiary of Velux, a multinational window manufacturer, that has transformed its business model from simple production to engineering, and further to modular solutions. We show that by respecting both the corporate strategic mission and the corporate culture, in combination with avoiding any direct challenge to the core corporate business model, the subsidiary has bypassed the tensions commonly observed with dual business models.
Theorising in the business model domain: some pathways to pursue
Authors: Roslender Robin , Lund Morten
Published: June 2024

During the past quarter of a century the academic business and management literature has placed an increased premium on incorporating theory within contributions to it. Coincidentally this is the same time period during which the study of the business model domain has occurred. For the most part, despite an evident richness of content and practical utility, the evolving business model literature has exhibited a relatively limited focus on matters of theory. The purpose of this short paper is to identify several directions that colleagues attracted to addressing the current theory-lite nature of the business model domain might consider exploring. Much of the thinking underlying the paper emanates from the realms of the social sciences rather than the more familiar natural sciences. The paper reflects the authors’ respective journeys to the business model domain together with their continuing work both within and beyond it.
How to Become the Instructive Fool
Authors: Steffansen Rasmus Nedergård
Published: June 2024

This paper explores how the concept of “the facilitator as a fool” can be used as a guiding principle for supervising students at universities adhering to problem-based learning pedagogies. With the example of students enrolled at spatial planning studies, the paper argues that students should learn how to face uncertainty and take matters into their own hands. For this purpose, the paper proposes that supervisors act as “fools” in their conversations with students, mimicking a reflective practice. The paper reflects on how this concept fares when applied to a real-life situation of supervising planning students at both Bachelor's and Master’s levels at Aalborg University in Denmark. In the end, the paper concludes that the applied concept can work to a certain degree, but it also requires a supervisor who is familiar with the theoretical and methodological “landscape” that students need to navigate in, and through, to become professional and reflective practitioners.
Structuralism: Hemingway’s novel - memoir “A moveable feast” in the light of structuralist and myth criticism
Authors: Sarinyan Mane
Published: June 2024

The article explores methodological issues in literary criticism that have their origins in structural linguistics, a theoretical framework established by Ferdinand de Saussure in the early twentieth century. It examines the utilization of the principles of structuralism in literary criticism for the study of literature and literary works. The subject matter of the article is the application of structuralist and myth-critical methodologies in analy ing Hemingway’s novel “A Moveable Feast”. The aim of the article is to examine the underlying structures and archetypes in the novel, shedding light on its symbolic and universal aspects. The analysis explores elements such as the title, structure, genre, and archetypal patterns within the narrative, revealing the novel’s consistency with the rite-of-passage model and quest myth framework. The novelty of the article consists in investigating Hemingway’s novel from structuralist and myth-critical perspectives.
Հոդվածում անդրադարձ է կատարվում ստրուկտուրալիզմի և ծիսամիֆոլոգիական քննադատության հարցերին, որոնք որպես մեթոդաբանական հիմք էին ընդունում քսաներորդ դարասկզբին Ֆերդինանդ դը Սոսյուրի կողմից մշակված կառուցվածքային լեզվաբանության սկզբունքներն ու դրույթները: Ստրուկտուրալիզմը էապես փոխեց գրականագիտության գիտականացման հիմունքը: Գրական երկից անջատելով սոցիալ-պատմական, փիլիսոփայական շերտերը` նոր քննադատները գեղարվեստական երկի ուսումնասիրության մեթոդաբանական հիմք ընդունեցին կառուցվածքային մեթոդը՝ հատկապես առանձնացնելով պոետիկայի հարցերը և առաջնությունը տալով գեղարվեստական երկում որոշակի մոդելների, սիմվոլների և արքետիպերի գործառնությանը: Հոդվածում Հեմինգուեյի «Տոն, որ միշտ քեզ հետ է» վեպը դիտարկված է արքետիպային ձևույթում՝ որոնման միֆի շրջանակներում: Վերլուծությունը քննում է կառուցվածքային տարրերը՝ վերնագիրը, ժանրային առանձնահատկությունը, արքետիպային մոդելները: Հոդվածի նորույթը Հեմինգուեյի վեպի ստրուկտուրալիստական և միֆաքննադատական քննությունն է:
В данной статье рассматриваются методологические проблемы литературной критики, которые уходят корнями в структурную лингвистику - теоретическую основу, созданную Фердинандом де Соссюром в начале XX века. Она рассматривает, как принципы структурализма, заимствованные из лингвистики, были применены к изучению литературы. Предметом статьи является использование структуралистских и мифологических методологий при анализе произведения Хемингуэя “Праздник, который всегда с тобой”. Целью данной статьи является изучение основных структур и архетипов в романе, раскрывая его символические и универсальные аспекты. Анализ исследует такие элементы, как заглавие, структура, жанр и архетипические модели в повествовании, выявляя соответствие романа архетипу мифа-квеста. Новизна статьи заключается в исследовании романа Хемингуэя с позиций структурализма и мифокритики.
COVID-19 precautionary dose vaccine hesitancy among undergraduate medical students of a government medical college in Karnataka – A cross-sectional study
Authors: G Jai , S Riyaz , C Anu , Krishnan Sini , Bhagavati Vilas , Thangaraj Selvi
Published: June 2024

Background: As a part of the COVID-19 preventive strategy, India began its vaccination drive on January 16, 2021, and was expanded in a phased manner. A significant percentage of India’s adult population is yet to receive the third dose. Hence, to know any hesitancy prevailing in undergraduate medical students who are supposed to be role models for the public, this study is undertaken.

Aims and Objectives: The aim of the study was to estimate the proportion and factors associated with COVID-19 precautionary dose vaccine hesitancy among undergraduate medical students of a Government Medical College in Karnataka.

Materials and Methods: A mixed-method study was conducted among 420 undergraduate medical students at a Government Medical College in Karnataka. Students from all professional years of MBBS were selected for the study based on stratified random sampling. A semi-structured questionnaire and focus group discussions were used to collect data.

Results: Among 420 participants, 19.05% exhibited vaccine hesitancy, primarily driven by concerns about efficacy, safety, and the non-mandatory nature of precautionary doses. In contrast, fear of COVID-19 transmission, societal responsibility, and the availability of free vaccines were key motivators for vaccine acceptance among the majority. Using thematic analysis of focus group discussions, four key themes emerged were vaccine-related factors, personal factors, media influence, and external factors.

Conclusion: The results underscore the vital importance of education, communication, and public health initiatives in enhancing vaccine confidence and uptake among medical students, paving the way for more effective interventions in the future.
Leones alados
Authors: Gentile Lafaille Anahi Maria
Published: June 2024

En el Honorable Congreso de la Nación Argentina, cuyo diseño y  construcción comenzó a fines del S.XIX, la ornamentación exterior   es básicamente greco romana donde se destacan, por su ubicación, los Leones Alados. Se trata de ocho esculturas ubicadas en la entrada principal: cuatro en el techo del atrio, en los laterales del frontis; y cuatro en los basamentos de las columnas junto a  las escaleras de ingreso. La ornamentación edilicia, como toda imagen, nos habla de ideas, valores y conceptos de la época en que fueron creadas y utilizadas. En éste  análisis visual se tiene en cuenta que cada ornato es portador de un significado, no siempre evidente para el observador
Lorenzo Lebrón de Quiñones y la “Escuela jurídica de Guadalupe”
Authors: Chico Antonio Ramiro
Published: June 2024

El reciente descubrimiento de la partida de bautismo del jurisconsulto Lorenzo Lebrón de Quiñones en el Archivo del Real Monasterio de Santa María de Guadalupe (1515) ha hecho posible establecer las bases jurídicas de la “Escuela de Guadalupe” y su aportación al derecho indiano e internacional, gracias al trabajo legislador de tres destacados guadalupenses: Gregorio López, jurisprudente, abogado, juez, fiscal, consejero real de Carlos V y comentador de las “Siete Partidas del Sabio Rey Alfonso El Nono”; Pedro de Villalobos, doctor en leyes,  dedicado toda su vida al servicio de la Corona como funcionario de la administración indiana, o el mismo Lorenzo Lebrón de Quiñones, oidor y alcalde mayor de la Audiencia de Nueva Galicia, que recibió el afecto de los indios que le tenían como un “verdadero padre o gran señor”.
            Su trabajo legislativo es, sin lugar a dudas, el mejor antídoto que la Corona de España puede presentar en contra de la llamada Leyenda Negra, que tanto daño hizo al imperio español.
Notas (críticas y apologéticas) sobre literatura e historiografía misioneras
Authors: Vega Cernuda Miguel Ángel
Published: June 2024

Tras comprobar la inexistencia del término “literatura misionera” como entrada bibliográfica, destacamos la cantidad y relevancia de los escritos misioneros, y proponemos la creación y sistematización de una subdisciplina autónoma en el contexto de la historia de la iglesia.
Demografické stárnutí v Česku mezi lety 2012–2022 prostřednictvím vybraných retrospektivních a prospektivních ukazatelů
Authors: Čábela Filip , Šídlo Luděk
Published: June 2024

Demographic ageing is considered a significant phenomenon and one of the most important population issues of the 21st century. It is a process that has no parallel in human history but is completely natural. The ageing of the population itself is a consequence of the changing quality of life, a new approach to lifestyle, and improvements in the health status of the population, all of which lead to improvements in the level of mortality, especially at old age. The concept of prospective age is not based on the number of years that a given person has already lived, but on the number of years that people probably have left to live. This paper presents the concept of prospective age and the development of prospective indicators using the example of Czechia between 2012 and 2022, focusing on a comparison of retrospective indicators with prospective ones. The paper also reveals the effect of the Covid-19 pandemic on demographic ageing indicators.
DESAFIOS E OPORTUNIDADES NA ÁREA DE ENSINO DE ENGENHARIA, AUTOMAÇÃO E PÓS-COLHEITA DE GRÃOS: ESTUDO DE CASO DE MÁQUINA DE LIMPEZA
Authors: Baal Edson , Ceretta Anderson Guilherme , Arcos Richard Anthony Gomez , Favero Junior João Luiz , Bortolaia Luís Antônio , Valdiero Antonio Carlos
Published: June 2024

O presente artigo traz uma análise sobre o ensino de engenharia e os desafios da indústria fabricante de máquinas e equipamentos para pós-colheita de grãos. Nos primórdios dos cursos de engenharia no século XIX, a ênfase era colocada na combinação entre teoria e prática; no entanto, ao longo do tempo, houve uma inclinação em direção ao ensino puramente teórico. Apesar disso, as demandas da sociedade e do mercado de trabalho para engenheiros demandam uma formação integral que una teoria e prática. Paralelamente, a automação e controle de processos na pós-colheita de grãos emergem como uma excelente oportunidade para integrar a prática ao ensino de engenharia, promovendo tanto a motivação dos estudantes quanto o desenvolvimento de soluções inovadoras para a indústria. Este artigo propõe uma revisão bibliográfica sobre o ensino na engenharia, destacando treze objetivos de aprendizagem em laboratório. Em seguida, são abordados os processos envolvidos na pós-colheita de grãos, seguido pela apresentação do conceito de um laboratório interdisciplinar dedicado à automação e pós-colheita de grãos. Por fim, apresenta-se o estudo de caso de um projeto de extensão de uma máquina de limpeza, onde percebe-se a importância da aproximação entre universidade e indústria para a resolução de problemas reais através da pesquisa e da extensão.