bluuebunny/crossref_metadata_2025 huggingface dataset:
On Schleiermacher's Translation Method based on Hermeneutics and Example Analysis
Authors: Liu Jie
Published: June 2023

Schleiermacher's model is the foreignization translation method and domestication translation method based on hermeneutics, and Schleiermacher himself pays attention to the heterogeneity of the original text and foreignization. The foreignizing translation method has brought great inspiration to the cultural school of translation studies, and Schleiermacher also holds an extremely important position in the history of Western translation. Translation is the process of translating the meaning of one text into another language, just as the original author transforms their thoughts into words. From a cultural perspective, translation is not only a transformation of language symbols, but also a form of cultural exchange. As one of the ancient works in China, "The Doctrine of the Mean" is renowned for its profound ideological connotations, and the role played by translation is indelible. To conduct translation activities, the first step is to clarify the translation purpose. Different translators have different translation purposes and have different understandings and interpretations of the text due to differences in knowledge and experience. This paper discusses Schleiermacher's translation method from the perspective of hermeneutics, and based on this, conducts case analysis to understand its application in translation.
Applying Transformer Networks for Accurate Fake News Classification
Authors:   Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharqiyah, 44519, Egypt, Elkhalik Waleed Abd
Published: June 2023

In the era of information overload and the widespread dissemination of news through various online platforms, the identification and mitigation of fake news have become imperative. This paper presents a comprehensive investigation into the application of Transformer Networks for accurate fake news classification. Transformers, known for their ability to model long-range dependencies and capture contextual information effectively, have demonstrated outstanding performance in natural language processing tasks. Leveraging this strength, we propose a simple but effective approach that employs Transformer-based architectures to discern fake news from genuine information with high precision. In our approach, we explore various techniques, such as attention mechanisms, positional encoding, and self-attention layers, to capture important contextual relationships and optimize the classification process. Through extensive experimentation, we demonstrate the effectiveness of our approach in accurately identifying and classifying fake news articles. Our proposed model achieves state-of-the-art performance on a public benchmark dataset, surpassing existing approaches.
Grősz József, egy 20. századi főpap ábrázolási módjai
Authors: Sági György
Published: June 2023

A tanulmányban célul tűztük ki, hogy Grősz József kalocsa-bácsi érsek (1943–1961) személyét vizsgáljuk meg ezúttal nem az írott, hanem az egyéb rendelkezésünkre álló források felhasználásával (festmények, fényképek és filmfelvételek, hangfelvételek és szobrok). Mind emellett rátérünk arra is, hogy Grősz érsek mennyire, illetve milyen mértékben részese az emlékezeti kánonnak, s ennek a jellege miként írható le. Célunk, hogy minél szélesebb és sokrétűbb perspektívából vizsgálva alkothassunk meg egy olyan képet Grősz érsekről, ami a lehető legközelebb állhat a valós személy, a valós főpap és ember személyiségének megismeréséhez, kiegészülve a kanonizáció emlékezetkutatási értelmével. Ehhez hívtuk tehát segítségül a fent felsorolt forrásokat, melyeket talán a történészek nem, vagy csak kevésbé esetleg részben vizsgálnának tudományos kutatásaik, munkájuk során. Mindazért azonban, hogy ezek a források a megfelelő kontextusban kerüljenek felhasználásra, röviden Grősz József életpályája, hivatása és munkássága is felvázolásra került. A tanulmányunk következő részében kerülnek a felsorolt forrás típusok elemzésre, az azok alapján levonható megállapításaink felvonultatásra.
Analysis of SARS transmission based on SIR model and SEIRP model
Authors: Tan Yuan
Published: June 2023

People's lives are still greatly impacted by the novel coronavirus outbreak, which has no effective treatment; however, the SARS virus two decades ago quickly disappeared. The study aims to find out how the SARS virus spreads, and also compares the SARS virus to the novel coronavirus. In the whole study, the author used the SIR model and the SEIRP model. It also combines specific cases of specific cities. Finally, through analysis, it is found that the epidemic of COVID-19 can be defeated by mass immunization and improving medical treatment. And how to prevent the spread of novel coronavirus.
Group Theory in Number Theory
Authors: Wang Mingshen
Published: June 2023

The theory of groups exists in many fields of mathematics and has made a great impact on many fields of mathematics. In this article, this paper first introduces the history of group theory and elementary number theory, and then lists the definitions of group, ring, field and the most basic prime and integer and divisor in number theory that need to be used in this article. Then from the definitions, step by step, Euler's theorem, Bzout's lemma, Wilson's theorem and Fermat's Little theorem in elementary number theory are proved by means of definitions of group theory, cyclic groups, and even polynomials over domains. Finally, some concluding remarks are made. Many number theory theorems can be proved directly by the method of group theory without the action of tricks in number theory. Number theory is the thinking of certain special groups (e.g., (Z,+),(Z,)), so the methods of group theory work well inside number theory.
Electric and hybrid-electric aircraft propulsion systems: development, difficulties and opportunities
Authors: Huang Zirui
Published: June 2023

As the world has grown rapidly over the past century, so has the aviation industry as a whole. This has led to a huge volume of aviation market and at the same time the aviation market excessive reliance on fuel, with a consequent huge environmental impact. As a global community, we are moving towards an electrified transport architecture. And some studies of aircraft propulsion systems have shown that electric and hybrid electric propulsion systems offer significant benefits over conventional fuel propulsion systems. However, there are also some researches have shown that while some electrified propulsion strategies can result in significant reductions in CO2 emissions, the overall cost of the aircraft can also increase significantly. The economic efforts made in terms of purely electric and hybrid propulsion have not been significant, so this technology is not yet in significant use in the aviation market. This paper considers some of these systems and analyses their structural advantages, technical requirements, etc. This is followed by a discussion of the current difficulties and future trends in the application of purely electric and hybrid propulsion systems. It is also significant to convey that the current immaturity of this technology and the areas for improvement.
Continuity of all Algorithmic Functions on Left Numbers
Authors: Chen Weixi , Zhang Wenkuan
Published: June 2023

A constructive Function is a computer program that transforms a Constructive Real Number (CRN) into another CRN. A left number is a program that generates an increasing sequence of rational numbers with an upper bound. We use algorithmic functions to generate CRNs and Left numbers. In this essay, we will prove the continuity of such functions on Left numbers in topological space with the base of right rays.
Real-life Application of Optimization Problem
Authors: Zhang Shengnan
Published: June 2023

With the continuous improvement of science and technology, optimization has become an indispensable and important part of people's lives. Optimization problems also help people find the optimal solution in their lives. It is necessary to mention the practical application of optimization problems in reality. The purpose of the experiment in this paper is mainly to find out whether the optimization problem is far away from people through practical application examples, or whether it is closely related, and to explore whether it helps people's lives. This experiment is a verification of this problem. This experiment mainly uses Python and the gradient descent method to prove the practicality and efficiency of optimization problems. Specifically, it is based on the background of buying a house. The data comes mainly from practical examples of Guangdong, Baoan. The results are also obvious, successfully demonstrating that the practical application of optimization problems can improve people's lives, improve efficiency, and are closely related to people's lives.
An Overview of the Flatness Problem and Its Proposed Solutions
Authors: Xu Jingyang
Published: June 2023

As a drawback to the widely accepted standard Big Bang model, the Flatness problem has been highly controversial. Due to the presence of dark matter and difficulty in measuring distances between galaxies, the universe's density in the present day has high uncertainty. There are three models consistent with the cosmological principle. The Flatness problem originated from the uncertainty of the density parameter and the puzzling fine-tuning of omega and the point of the Big Bang; its potential to identify a shortcoming in the standard cosmological model has drawn considerable attention from the scientific community. Different approaches were taken as attempts to resolve this problem. However, arguments against the Flatness problem have also been proposed, disproving the existence of the Flatness problem from the perspective of classical cosmology. This paper examines the Flatness problem by quantitatively describing the flatness problem, presenting the historical development of the Flatness problem, analyzing past approaches to the Flatness problem, and considering arguments against the problem from the perspective of classical cosmology.
The Implementation of Glauber Monte Carlo Model in High Energy Collision of Pb-208 Particles Collisions
Authors: Dong Bowen , Huang Junlong , Li Jiajun , Wei Mingjie
Published: June 2023

Glauber Monte Carlo model is frequently used in analyzing high-energy heavy ion collisions. This paper focused on implementing the Glauber model in the simulation of two 208Pb particle collisions and furthered the computation of the basic structure of heavy ion collisions. Not only did this research give a method to calculate the impact parameter and number of participating nucleons, but it also discussed the calculation of participant eccentricity and triangularity. Description of assumptions that goes into the computation are included, and a comparison of theoretical result and estimation are delivered.
The Influences of Racing Track on Choosing Winglet
Authors: Lin Siqi
Published: June 2023

Since winglet be added on the motorcycle in 2016 first, the extreme speed of the motorcycle competition improve a lot. The engineers of motorcades not only focus on the efficiency of the engine, but also put some of their attention on the design of the aerodynamic kits. This paper is focus on the shape of the racing track to see how it effect the choosing of winglet. Since different surface area of winglet may have some effect on the force provided on the motorcycle. This paper finds that for the racing track which has more strait roads, the motorcycle should reduce the drag force, so that the winglet should has less surface area, vice versa. The research significance is to help motorcades to choose suitable aerodynamic rate and give some suggestion to the rider who want to add winglet on their own motorcycle.
Tracklet Method Analysis on Particle Production Based on Centrality Dependence
Authors: Chik Nicole , Cheng Brian Wen , Cheng Xinyu , Jin Weihao
Published: June 2023

This paper presents an analysis on a parametrization of ALICE open data on the Pb-Pb collisions at sNN = 2.76TeV created by the Large Hadron Collider (LHC). We will use the tracklet method to calculate the differences in pseudorapidity values (), generate distributions for different centrality ranges, and investigate the centrality dependence of the number of particles produced. This document presents findings of a negative correlation between centrality classes and the number of particles produced.
Power Source Evolution: A Brief History of Spaceships
Authors: Pu Fanqin , Yang Ruohan , Wang Yuheng
Published: June 2023

The transformation of the sun, the moon, and the stars, the visible but unreachable universe, has made generations of people fascinated by it. The rapid development of science and technology is the cornerstone of human exploration of space, and spacecraft is an indispensable and essential part of human space exploration. This paper introduces the development process of spacecraft from 1960 to the 21st century using literature collection, data integration, and other methods, focusing on the evolution of spacecraft power sources, supplemented by the evolution of spacecraft structure. According to the research results, it is concluded that the power source of the spacecraft shows a development trend from relatively low energy and efficiency to relatively high efficiency, and the structure of the spacecraft is in a development state from only supporting spacecraft exploration to realizing manned navigation.
New Look and Optimized Power Recovery System for New Energy Vehicles
Authors: Liu Yuxi
Published: June 2023

There are different approaches to reduce the drag on a car in motion, and at the same time, the resistance of the car is affected by many factors. This paper focuses on reducing the resistance of the car from three aspects, namely the weight, the windward area, and the aerodynamics, so as to improve the acceleration and speed of the car. This paper also introduces specific optimization models and sketches through data comparison and calculation. It is reflected that the improved vehicle structure can better reduce the drag, thus achieving the purpose of increasing the speed.
Bias in Search Engine: the Case of Google and a Workshop Solution
Authors: Huang Ruixin , Li Jiatian , Luo Qi
Published: June 2023

The search engine (SE) is a senseless artificial program. SE matches the user's information demands with the input information and then provides an ordered list of answers. However, the outputs are frequently subjected to bias, which can affect the depiction of issues like gender inequality. Studies have shown that search engines may unconsciously inherit biases from their creators and users throughout their life cycle. In this paper, focused on Google as our research case, we evaluate and summarize different factors that can lead to the bias issue. The factors are depicted in computer science social domains. And in response to these causes, we propose a workshop idea to raise awareness of the problem of search engine discrimination, especially regarding gender issues. Based on our current workshop solution, we also list some potential improvements.
Research Advanced in Blind Navigation based on YOLO-SLAM
Authors: Chen Hongyu , Li Xiang , Zhang Zongyang , Zhao Ran
Published: June 2023

Automated blind guidance has been a hot research topic, which aims to develop efficient and inexpensive technologies to help blind people meet their daily needs. Benefiting from the rapid development of deep learning and machine vision, artificial intelligence-based blind guidance technology, especially blind guidance technology based on simultaneous localization and mapping (SLAM), has become a promising alternative. In this paper, we introduce the relevant research results of YOLO-SLAM technology in the guidance of blindness. We began by highlighting the power of YOLO, SLAM technology, and the promising prospects for current research in this field. In order to ensure that the information has a higher reference value, we focus on the practical application and improvement optimization of related papers in the past four years. We analyzed existing surveys and looked at current work, using several dimensions such as the data obtained, the sensors used, the models learned, and the human-machine interface. We compared the different methods, evaluated their testing sessions, summarized their similarities and differences, and drew conclusions by analyzing future trends in the field.
The Way to Detect Exoplanetary Systems and the Limitations of the Doppler Method
Authors: Tian Boyuan
Published: June 2023

According to current astronomical developments, Doppler and lensing methods are the two most important methods used by astronomers to detect extrasolar planetary systems. Unlike the lensing method, which requires the use of high-precision astronomical telescopes to measure stellar luminosity variations, the Doppler method can rely on simple stellar redshift phenomena and calculations to accurately predict the existence of extraterrestrial planets, their masses, orbital radii, and other basic characteristics. Therefore, Doppler's method will be the most widely used method to measure planetary systems. Based on the derivation of Kepler's third law, the formulas for calculating the masses and orbital distances of planets are discussed and a python program for easy calculation is presented. Also, the limitations of Doppler's method and possible calculation errors are collected, organized, and explained.
Detection for COVID-19 Chest X-ray Based on Convolutional Neural Network
Authors: Xie Zherui
Published: June 2023

COVID-19 has been the most serious public health problem of the past decade. To date, the pandemic has taken a huge toll on the globe in terms of human lives lost, economic impact and increased poverty. However, due to its viral characteristics, determining whether a patient carries COVID-19 is not easy. RT-PCR methods are the gold standard for detecting COVID-19, but their time cost, as well as the need for specific equipment and instrumentation, limit their ubiquity in some medically underdeveloped areas. Chest X-rays, a test with high ubiquity and rapid results, require a certain number of professionals to read and determine whether a patient is likely to have COVID-19. Therefore, it is important to have a system to assist in the determination in areas where professionals are lacking. In this experiment, a convolutional neural network-based machine learning technique was used to create a model for recognizing COVID-19. Although there is no clinical evidence to prove its effectiveness, the model can assist professionals in judgment to a certain extent.
Prediction of the Winning Rate of Athlete Ma LongBased on Probability Theory
Authors: You Qilin
Published: June 2023

Today, probability theory is becoming more and more useful in our daily life, and it is used more often in sports, especially in table tennis. As a well-known table tennis player from China, Ma Long is an experienced player in table tennis. The data from this study is mainly from @tingwalker who was famous for statistical table tennis data. This paper uses the probability theory to find the effects of the win rate of Ma Long as well as calculate the actual rate, including the effects we have to consider. It is more accurate than just considering the win rate of each competition or looking at the total winning rate of Ma Long. With the help of probability theory, the paper considers factors that affect Malone's winning rate, such as competition system, different players, independent events, and miss rate. Finally, it can be concluded that Ma Long's winning rate against Zhang Jike is as high as 78%~82%.
Analysis and Possible Improvements of Scramjet Engines: The Effective Thrust and the Combustion Stability Problems
Authors: Wang Shirui
Published: June 2023

The scramjet is the representative of the future jet engine, and it has irreplaceable advantages in terms of working performance and service life. Although it has been developed more than fifty years, there are many problems in the driven system of the scramjet engine. This paper mainly focuses on the problems of the effective thrust and the combustion stability. The research shows that how the pressure ratio affects the positive thrust and the combustion stability. Furthermore, this paper also shows that the elements which can affect the pressure ratio. The lower inlet air temperature is beneficial to enhance the thrust. According to the relevant research which apply the CJ detonation theorem to find the possible reason for the combustion instability. For the possible improvements, the research found that the engine thrust at different speed and the allowable maximum speed. The type of fuel and the reactivity of the fuel can influence the thrust.
A Statistical Analysis of Depression
Authors: Dong Xuancheng , Ren Chenjia , Sun Yixuan
Published: June 2023

This project studies and analyzes depression through statistical principles, reveals the influence and behavior of depression, so as to improve people's attention to depression. This study was completed from: looking for basic information data sets of depression, reading data sets, making charts, analyzing data and data prediction. The results showed that the affected population was concentrated between young people and middle-aged people, and the influencing factors of the disease included marriage, gender, employment and so on. For this disease, research is still in the development stage and there are still many questions to be addressed, so it is very important to study this disease.
Supervised Contrastive Generative Adversarial Networks
Authors: Gu Honglei
Published: June 2023

Generative Adversarial Networks (GANs) is becoming more and more popular, artists use them to find their own inspirations, computer scientists use it for data synthesis, workers use it for machine fault diagnosis and so on. However, GANs are flawed despite its popularity: they are unstable. GANs are based on game theory. In a typical GAN model, the generator and the discriminator are both improved by competing with each other. Therefore, in this highly competitive training process, GANs can easily run into trouble while they move towards the optimal solution. In most cases, the case of such instability arises from the loss function, or in other words, the gradient of the loss function. This research proposed a new set of GAN that replaces its objective function with supcon, or the supervised contrastive loss to solve gradient-related problems. We have also proved that under our model, the GANs are less likely to suffer from these two factors of instability. Finally, we have compared our model and the traditional generative adversarial nets.
A Practical Significant Technic in Solving Overfitting: Regularization
Authors: Li Muyuan
Published: June 2023

The passage mainly discusses the solution to overfitting. Overfitting usually happens when people are training their machine learning models. When a model is overfitted, it only fits one particular dataset and misses most of the data points from another dataset. This problem affects the model's performance and makes it unable to use for its purpose. So how to solve this problem with significance and practical meaning? At the beginning of the passage, I will introduce some theoretical foundations for overfitting. Then I will define the concept of overfitting and show an example of overfitting in the machine learning model. After that, I will tell you how to pick the correct model with the testing set. Then, the passage focuses on the discussion of regularization, which is a helpful technique for solving overfitting. And I will compare the L1 and l2 regularization to help you find the suitable one.
Different Detection Methods for Dark Matter
Authors: Feng Jingxuan
Published: June 2023

Dark matter has been proposed to fulfill the missing mass from Astro-observation. Many theories have been raised to explain dark matter, and weakly interacting massive particles (WIMPs) are one of them. In recent decades, dark matter detection sensitivity has improved significantly. However, solid evidence for their existence has not come yet. This paper outlines some methods for detecting dark matter, including direct detections, collider searches with the ATLAS detector at LHC, and collider searches with CEPC.
The Rubiks Cubes in Group Theory
Authors: Yu Jialun , Li Wenxin
Published: June 2023

This paper expounds the basic concept of group theory and its application in Rubiks Cube transformation and restoration formula. The different states of the magic cube are regarded as the elements of the magic cube group, and the set generated by six basic operations is equivalent to the homomorphism of the magic cube group for analysis, from the mathematical characteristics of the permutation group to some practical examples. The collection of possible states of Rubik's Cube is a group, called Rubik's Cube Group, which can be analyzed with the knowledge of group theory. The essence of the magic cube group is the subgroup of the substitution group. There are six basic operations of the magic cube. The combination of basic operations can only produce even pairs of blocks to exchange positions or flip directions at the same time. Therefore, there are some restrictions on the transformation of the magic cube. Some practical examples give some ideas for creating the magic cube formula.
The Relationship between Air Resistance and the Vibrating Period of Simple Pendulum
Authors: Gui Jinxuan
Published: June 2023

The simple pendulum is a typical model of the compound pendulum. In this model, resistance and buoyancy are negligible. This paper researches how air resistance affects the vibration period in the simple pendulum model but with exact conditions. There are two simplified air resistance models that can apply in the models, one is the first power air resistance model, and the second is the second power air resistance model. But the first power air resistance model is quite complex, there is no equipment to measure its coefficient of it, so it only applies the second power air resistance. This paper studies the formula that revealed air resistance and related suitable cases. The results show that the time from the formula is longer than the experiment a little bit.
Research on the Principle of Aircraft Take-off and the Functions of Its Parts
Authors: Zhu Chenhao
Published: June 2023

Aeroplane-One of the greatest inventions of the twentieth century. Since ancient times, man has dreamed of flying in the sky like a bird. In modern society, due to the rapid development of science and technology (fluid mechanics, automatic control system, etc.), aircraft has become a basic means of transportation. This paper mainly studies how the aircraft takes off and the role of its individual components. Through the method of literature reading and analysis, the force of aircraft takeoff, as well as the role of wings and flaps (Kruger flaps, slit flaps, fuller flaps) in the take-off process are summarized.According to Bernoulli's principle, the lift of an aircraft is mainly generated by the wings, and parts such as flaps are used to regulate the flight state of the aircraft. At the same time, the aircraft must overcome a variety of drags during flight, including frictional resistance, tip resistance and induced resistance.
Innovations in Architectural Design, Materials, and Constructability
Authors: Zheng Hanwen
Published: June 2023

Because of the rapid development of social economy and urbanization, people's quality of life has been significantly improved, while people's requirements for housing construction. The requirements of space and environment are also increasing. To effectively meet people's needs, it is necessary to dig deeper into the functions of buildings, increase innovation, promote the integration of architecture and structure, and increase the development growth and to contribute a high level of construction building design. This paper discusses the application of structural design innovation in architectural design, discusses architectural structure design principles, and discusses design innovation countermeasures from the level of integration of architecture and structure in order to promote the further development of the construction industry.
Research on Thermophoresis Deposition of Aerosol Particles
Authors: Wang Yanchun
Published: June 2023

An aerosol is a system of liquid or solid particles in suspension in a gas, which includes both the particles and the suspended gas. The aim of this paper is to study the thermophoretic forces in aerosol systems. We introduce the concepts of particle size distribution, DLVO theory and multiphase flow models, followed by four case studies of thermophoretic deposition. This study has some limitations that need further investigation for a number of specific reasons. Firstly, the impact of thermophoresis is often overlooked in discussions about aerosols and their walls. Additionally, the focus has only been on solid walls, while the same problem applies to soft walls such as the human respiratory tract. The complexity of fluid models that involve multiple particles and forces also presents challenges. The task of examining the effects of temperature fields and temperature variations will be even more daunting. There is a pressing need for further research in this area.
An Overview of Technologies and Applications of Wireless Power Transfer
Authors: Song Yunzhou
Published: June 2023

Wireless power transfer (WPT) is one of the most frequently discussed topics. Due to its straightforward implementations and designs, it is also one of the most commercialized. It is a technology that allows power to be transferred from one electrical transmitter to another electrical transmitter across an air gap. Inductive coupling, magnetic resonance coupling, and radio-frequency transfer are the three widely used wireless power transfer technologies, and this study provides a thorough summary of their respective histories. Latest implementations are also introduced. Current implementation of the technology in vogue are confronted with some challenges, which may be seen as future research trends, in hope of miniaturizing gadget complexity, enhancing device transmission duration and reducing costs.
Research on the Design and Improvement of a Kind of Modular Multi-Functional High-Power Portable Fan
Authors: Pan Zheng
Published: June 2023

To solve the problems of not being easy to bring the traditional fan and the weak wind, the single function of the portable, and other limitations, this paper studies the improvement of a kind of multifunctional portable fan. The multifunctional portable fan achieves its purpose of portability. It must have a small size and battery. A modular design is adopted in this paper to solve these problems. After designing the plan. This paper tested the shell's various functions, which were created using 3D printing technology. The test results show that the design can effectively play to the versatility of the fan. A modular design will enable tools to be extensible. It reduces the cost of using tools and the waste of resources.
Prospect of Automobile Aerodynamic Drag Reduction External Structure (AADRES) for Electric Car
Authors: Zhu Pengtian
Published: June 2023

AADRES has been further optimized over the past hundred years for diminishing fuel consumption, yet there is still a sharp reduction in traditional energy around the world. Recently, the energy structure of automobiles has also been transforming from gasoline power to electric power in order to save energy and reduce the CO2. However, electric cars have one fatal problem which is battery capacity. Therefore, AADRES should be redesigned for electric cars. In order to find an AADRES suitable for electric cars, this paper briefly explains the resistance principle of cars and instances some existing aerodynamic drag reduction methods. By analyzing and identifying those methods, a personal scheme of new style AADRES for electric cars is also presented, which primarily follows the wedge car shape but incorporates a deflector, embedded door handle, and pitted non-smooth surface while removing door mirrors.
How to Reduce Traffic Jams when Flood Happens
Authors: Wu Yanning
Published: June 2023

Most map applications play the job of navigating users and informing them of traffic jams. However, they often cannot deal with an emergent situation when a disaster such as a flood takes place. This paper aims at providing a solution for map and navigation applications how to ensure users safety when natural disasters of floods happen. The subject uses sensors, programming, and perceptrons to prompt the study and take the Beijing-Hangzhou canal as a sample since each river has its warning water levels. Nevertheless, this paper provides a solution to the research aim, no experiments are involved.
Possible Improvements in the Precision of the Atom-interferometric Equivalence Principle Test by Reducing AC Stark Shift Uncertainty
Authors: Liu Xinyi
Published: June 2023

We discussed possible improvement methods for a dual-species atom interferometry test of the weak equivalence principle (WEP) at the 10^(-12) level. The original research tested the WEP by comparing the acceleration difference of the free-fallen rubidium isotopes atom clouds. Based on the percent uncertainty presented from this test, AC stark shift is the most significant obstacle to improving precision. This article will discuss a precision-improving method to the original test by suppressing the background AC stark shift by centering the interferometry lasers to their "magic frequency." The expected improved precision of the uncertainty level is below the 10^(-18) level. Due to the limitation of instruments, we have yet to test this improving method in the actual measurement. Still, we analyzed the possible difficulties in practical usage and discussed solving strategies that correspond to the problems.
Research on the Influence of Airfoil on the Flying Performance of Glider
Authors: Cao Yingqi
Published: June 2023

Gliders are heavier-than-air fixed-wing aircraft that do not rely on power plants to fly, and are now widely used in scientific observation, daily entertainment, and other fields. After taking off, it only relies on the reaction force of air acting on its lifting surface for free flight. Different gliders can stay in the air for different amounts of time in different environments, which is mainly determined by the airfoil. Therefore, through literature reading, this paper understands its flight principle, and studies and analyzes the advantages and disadvantages of existing airfoils by comparing the influence of different airfoils on flight performance. In view of the problems existing in the airfoil, rationality calculations and improvements are put forward, hoping to promote the development of the aviation industry. After research, the concave wing is by far the most suitable gliding airfoil, which can provide relatively large lift and stability, but there is still the problem of insufficient load. In order to improve these deficiencies, the airfoil is optimized by increasing the contact area between the airflow and the wing. For example, the defect can be improved by lengthening the length of the entire wing, reducing lateral airflow, and increasing the upward curvature of the wingtip.
Artificial Intelligence and Machine Learning Applications in to Structural Health Monitoring
Authors: Tian Qingfeng
Published: June 2023

Numerous civil infrastructures, such as bridges, dams, and skyscrapers are getting to be vulnerable to losing their planned capacities as they break down from utilization. In spite of the fact that many people have been propelled to examine these structures by the concern on a regular basis, there is still diagnosis in need for onsite inspections on closing bridge frameworks or building structures for diagnosis, due to lack of personnel. In that case, many researches team have come up with structural health monitoring (SHM) techniques. This paper will investigate a few strategies for SHM techniques. The scope is primarily on machine learning strategies, such as vision-based strategy for SHM techniques. Based on other correlated articles, vision-based strategy is fine to be used for structural health monitoring and detection. Models that are well defined will be applied to different kinds of issue. There's much to think about and research here. To summarize, machine learning techniques for SHM have been shown to be more successful than traditional strategies. The primary paper employments territorially upgraded multiphase division procedure, which is prepared with SVM, which has been shown to be superior to previous methods. Overall, ML methods are gradually becoming crucial perspectives on SHM challenges.
Study of the Physical Mechanism of Power Generation with Wheels
Authors: Jiang Tsz Pui
Published: June 2023

It is known well that electricity is an important part of our life and most of it is wasted. However, the natural resources of energy are being wasted and reduced. To utilize the mechanical energy of rotating wheels, in this research report, the device structure of generating electricity voltage is designed, and the relations between the voltage generated by rotating wheels and the geometry and physical parameters of the structures are derived, and the effects of the geometry and physical parameters on the voltage are analyzed. The theoretical results show that the voltages are in proportion to the weight and speed of rotating wheels. The experiments with piezoelectric film and wheels are used to verify the theoretical analysis. The experimental results show that the theoretical analysis is in good agreement with measured results.
Achieving simultaneously high energy and power densities in an asymmetric supercapacitor with the fe3o4/gns electrode combination
Authors: Xie Jichun
Published: June 2023

With our growing need for highly efficient energy supplies, a demand for new devices with better energy conversion and storage capabilities arises. Asymmetric supercapacitors combining a pseudocapacitive and an EDLC electrode show great potential as a prospective energy storage device. The relatively broad voltage window and low cost of iron (II, III) oxide and the eminent properties of graphene nanosheets (high electrical conductivity, large surface area, etc.) make them ideal candidates for the electrode materials of supercapacitors. An asymmetric supercapacitor using iron (II, III) oxide as the anode and graphene nanosheets the cathode with an aqueous electrolyte of 3 M potassium hydroxide was proposed here. Iron (II, III) oxide nanoparticles were synthesized from FeCl36H2O using a hydrothermal approach. Graphene nanosheets were prepared from fine-grained graphite raw materials via Hummers method. The electrochemical performance of the device was characterized using a triple-electrode setup, with the electrodes being submerged in a medium of 6 M KOH. This specific asymmetrical supercapacitor shows promise as a practical foundation towards a future of more effective energy transformation and storage, such as line-filtering and signal selection, particularly due to the relative abundance and environmentally-friendly nature of its electrode materials.
Degradation of Polymers and the Improvements of Polybutylene Terephthalate /Polyethylene Glycol Terephthalate Composite-material
Authors: Wang Mingyuan
Published: June 2023

Polybutylene terephthalate and polyethylene glycol terephthalate are subjected to thermal-oxidative degradation and thermomechanical degradation during the process of melt blending, which affect the polymer structure and properties. The effect of feed properties of polyethylene glycol terephthalate and the addition of modified nanoparticles on blends are a question worthy of discussion. This paper introduced the latest development of biodegradable plastics industry as well as the applications of biodegradable plastics in fibers, daily expenses of membranes and bags, agricultural products and automobile industrial products. These biodegradable plastics included poly (lactic acid), polyhydroxyalknoates, poly (butyl enes adipatecoterephthalate), and poly (propylene carbonate). In addition to biochemical effects, degradation also has biophysical effects, that is, after microorganisms erode the polymer, the polymer material is mechanically damaged due to the increase of cells. Therefore, biodegradation is not a single mechanism, but a compomise biophysical and biochemical synergy and mutual promotion of physical and chemical processes. So far, the mechanism of biodegradation has not been fully elucidated. This paper focuses on explaining the currently clear polymer degradation mechanism and the improvement in composition and structure, so as to offer some references for future studies.
Comparative analysis of renewable energy
Authors: Liu Ziyuan
Published: June 2023

Our current reliance on non-renewable sources of energy has put a strain on the limitations of our planet and its natural resources. The purpose of this study was to comparatively assess the various physical and socioeconomic factors affecting a city and its residents ability to effectively transition to renewable energy sources such as solar or wind energy. Using climate datasets to assess the potential of both wind and solar energy for Edmonton, AB, and Columbus, OH. the researcher paired these findings with assessments of urban development, socioeconomic factors present in both cities to fully understand the current challenges we face in transitioning to renewable energy. The findings indicate that while the area of land needed to supply Edmonton with energy from 100% renewable sources would be vast (1815 km2; 6412 Wind Turbines), it would be possible to accomplish. A change as large as this cannot be made instantaneously and cities will face various challenges in this process, but it is crucial to make this transition in order to become a more sustainable society and live more harmoniously with the natural environment.
Analysis of the Dominance of Steel and Concrete in Architecture
Authors: Fu Chengjun
Published: June 2023

The issue of carbon emissions from building materials is an important issue in today's society and concrete buildings are one of the main contributors to carbon emissions. As a result, steel construction is very popular in modern society. However, with improvements in concrete technology, it is gradually starting to gain acceptance again. The focus of this review article is to discuss the dominant role of steel and concrete in construction. This paper adopts the method of literature analysis and reading. At the same time, the data of this study come from SteelConstruction.info (The free encyclopedia for UK steel construction information), British Constructional Steelwork Association (BCSA) and Steel Construction Institute (SCI) and The British Standard Institute. The following conclusions can be drawn: Steel structures are getting more and more attention. Steel structure and cement play an important role in construction.
The application and challenges of 3D printing technology in food
Authors: Zeng Yiping
Published: June 2023

This paper reviews the principle, development history and current situation of 3D food printing technology, focusing on the application of 3D printing technology in food, as well as some problems and challenges it faces. The main research methods adopted are literature review and questionnaire survey. After investigation, the application field of 3D food printing technology is very considerable, but at the same time, many problems in different aspects also hinder its popularization. As long as the obstacles are solved, 3D food printing technology is expected to become the main technology in food production in the future, and then move towards 4D technology.
Recent trend of using computational science tools in organic-inorganic hybrid perovskite materials research
Authors: Chu Yuhan
Published: June 2023

Organic-inorganic hybrid perovskite materials have been considered promising candidates for solar cells in the future, and computational science tools have been widely used in the research on the structure and various properties of these perovskite materials. Researchers have also focused on finding the composition of ions which they need for specific purposes and have discovered new candidates with better performance in the organic-inorganic hybrid perovskite materials family. In this review, notable computational ways to assist the organic-inorganic hybrid perovskite materials research in recent years, including First Principals calculations or Density Functional Theory (DFT) calculations, and machine learning tools, have been summarized and discussed. The review shows various applications for First Principals and DFT calculations in this area, and also highlights the prominent potential for machine learning tools in finding new perovskite material candidates for novel solar cells.
Dangerous behavior of batteries in the natural environment and countermeasures
Authors: Wang Yuxin
Published: June 2023

In order to achieve the long-term goal of low carbon emissions, more and more batteries are being used in our daily lives and in a wide range of applications, bringing great convenience as well as potential hazards. This paper makes recommendations for sustainable environmental protection based on the hazards that batteries have caused since. Metals are an important part of batteries and the damage caused by unreasonable recycling can be significant and permanent, so this paper makes some suggestions on how to improve this issue in the hope of sustainably protecting the environment. This paper discusses the damage caused by batteries being disposed of in soil, which is rich in metal elements that cannot be broken down by the soil and enter the human body through the biological chain. The damage caused by disposal in water sources may be direct in the water organisms and may eventually enter the human body through the food chain, or may even contaminate water sources directly. The most direct damage to the human body is reflected in the corrosive nature of batteries, especially for young children, who can be permanently damaged by accidental swallowing, while some metal poisoning can even directly bring about some damage to DNA. The paper concludes with recommendations to address these issues from three different perspectives: national, corporate and individual. The paper builds on these perspectives in the hope that it will ultimately contribute to emissions reduction and sustainable development.
Research on the application of new energy in vehicle engineering in china
Authors: Zhang Yao
Published: June 2023

Since the 21st century, the global car ownership has shown a trend of rapid growth. At the same time, the environmental pollution brought by it is also deeply affecting the people of the world. In addition, the shortage of fossil energy makes the fragile ecology worse. At present, ecological issues have become a global hotspot, and people's voice for environmental pollution control is also growing. In this context, energy saving, emission reduction, and environmental-friendly new energy vehicles have also become one of the current development directions. This paper focuses on introducing new energy vehicles and focuses on the application of new energy in vehicle engineering, so as to push energy conservation and emission reduction and environmental governance to a new height. This paper adopts the methodology of analysis of documents. This paper finds that new energy vehicles are one of the development directions of the automobile industry in the future. Researchers in this field should vigorously develop the infrastructure construction of new energy, constantly break through technological bottlenecks, and promote the widespread use of new energy in society and the market.