bluuebunny/crossref_metadata_2025 huggingface dataset:
A mathematical model for the spread of Omicron virus based on grey prediction algorithm
Authors: Lin Haotian , Lin Jianze , You Kewei
Published: March 2023

After two years of the Newcastle epidemic, the emergence of a mutant strain of Omicron virus has once again raised a high level of alarm worldwide, and it has rapidly replaced the Delta strain as the major strain in the world epidemic with high infectivity. In order to study the spread of the epidemic in a qualitative and quantitative manner, this paper uses relevant mathematical modeling ideas and methods, combined with the background of big data, to conduct relevant research and analysis in order to provide guidance for the actual fight against the epidemic and facilitate scientific research and response measures. In this paper, a gray prediction algorithm is used to predict the future epidemic data. A metabolic algorithm is introduced to recursively correct the prediction residuals and build a multilevel gray model. In this paper, to investigate the role of vaccines on epidemics, the R values under each dose of vaccine were calculated by selecting data from several countries and regions using fitted curve idealization. The prediction of the data yields the conclusion that vaccination is indeed directly effective in controlling the spread of the epidemic.
Heterogeneity of vascular cells in different breast cancer subtypes revealed by single-cell RNA-seq analysis
Authors: Xia Lei
Published: March 2023

Breast cancer is a common type of malignant tumor developing from breast tissue that happens in women, which can be triggered by both genetic and environmental factors. Nowadays, it is increasing recognized as a global public health problem. Despite some treatments have been used, there are still many challenges in treating breast cancer due to the recurrence and metastasis. The development of single-cell RNA sequencing (scRNA-seq) technology has shown great potential in deeply discovering the molecular mechanism of breast cancer. In this study, we processed scRNA-seq data of patients from different types of breast cancer subtypes, extracted and integrated the vascular cells, and found a distinct tumor-specific endothelial cell. The results not only showed the power of meta-analysis of existing single-cell data, but also revealed the detailed characteristics of vascular cells in different conditions, yielding light to future medical treatments in breast cancer.
Progress of Stem Cell Research in Knee Osteoarthritis
Authors: Zhao Wantong
Published: March 2023

Knee osteoarthritis (KOA) is a degenerative condition that primarily affects people in their middle and advanced years. Meniscus wear, osteophyte production, and articular cartilage degeneration are its defining characteristics. Due to a lack of nutrients from the nerve and joint microvascular systems, articular cartilage finds it challenging to self-heal or repair after degenerative changes. In general, conservative therapy is ineffective, and joint replacement is only an option for patients with very advanced illness. Because of their differentiation capacity into many distinct types and their potent paracrine activity, stem cells are regarded as the best materials for tissue regeneration and repair. Fatty tissue, bone marrow, and umbilical cord all contain stem cells. In general, arthritic symptoms can be reduced by injecting stem cells into the knee joint cavity after isolation and in vitro multiplication. The efficacy of mesodermal stem cells (MSCs) in reducing signs and symptoms of KOA has been confirmed over time by a significant number of clinical trials on the topic. This article examines the outcomes of clinical research, therapeutic outcomes, current issues, and historical development prospects.
The Role of Chinese Medicine in Chronic Diseases
Authors: Huang Xiongfeng
Published: March 2023

The course of chronic disease is long and the etiology is complex. With the development of society, the occurrence of chronic disease is gradually becoming younger and the incidence is getting higher and higher. At present, the prevention and control of chronic diseases are mainly palliatives, intervention lags behind other disadvantages. Society is paying more and more attention to the prevention and control of chronic diseases. Due to various factors, the quality of life of many chronic disease patients is significantly different. TCM has diversified ways, precise diagnosis, and treatment of syndrome differentiation thought and means of diagnosis and treatment, TCM technology and operability, has a unique role in health management, health care, and other aspects so TCM has an important significance in the prevention and control of chronic diseases. From the Angle of TCM prevention of chronic diseases, this paper expounds on the theory of TCM prevention of chronic diseases, the key points of attention, and the methods of TCM treatment of chronic diseases. It can be concluded from the literature that the combination of evidence-based treatment of TCM and modern medical technology can improve the condition of patients to some extent. If the theory of "treatment before treatment" of TCM is applied to public health management.
Therapy for neurodegenerative Diseases and expectations
Authors: Jiang Yifei
Published: March 2023

The current development of genetic engineering has been able to intervene in the treatment of many disease areas, especially immune diseases have shown the need for gene editing. The importance of target correspondence is evident at all stages of research. Neurodegenerative diseases have always been a struggling area of medicine, but the current mainstream gene-based immunotherapy has given people the possibility of curing or improving neurological diseases. In the investigation and deepening understanding, at least one immunotherapy has practical application, but the other has not shown the achievements in the direction of neurobiology. Even though immunotherapy is indelible, especially in cancer tumors, the more possibilities of these therapies and the progress of current development are worthy of attention and repeated research. CRISPR therapy is not only able to effectively insert and modify or knock out targeted gene segments in treatment; it is also used to discover the pathogenesis of certain diseases, the pathogenesis suspected by scientists, such as whether the expression level of a certain protein That can be controlled by increasing or decreasing gene expression, both achievable through the implementation of CRISPR therapies. In this review, we summarizes CAR-T and CRISPR therapies in Alzheimer's Disease.
Emerging role of vaccines in glioblastoma treatment
Authors: Li Jinyang , Li Xinyue
Published: March 2023

One of the most devastating brain tumors is glioblastoma multiforme (GBM). Chemotherapy and radiotherapy are the current treatments offered. They were unable to eliminate all the cancerous cells since doing so might have harmed other healthy, functional cells. Vaccines used for therapeutic applications are examples of immunotherapy. This review discusses TRAIL mRNA vaccines, DC-mRNA vaccines, and VLP vaccinations. Regarding the process of VLP, tumor antigens on the surface are first endocytosed by dendritic cells, where they are then presented with MHC-I and MHC-II, activating CD4+ and CD8+ T cells, respectively. Malignant cells are eliminated when CD8+ T cells are developed into cytotoxic T cells and are responding to cells. To activate more cytotoxic T cells and produce antibodies, which are humoral responses, CD4+ T cells differentiate into Helper T cells and release cytokines. Also displayed is the pre-clinical examination of thymidine kinase genes carried by virus-like particles. The effectiveness of tumor cell death led by the genes carried by VLPs strengthened with the results on U87-MG cells and nude mice tests, and the tumor size was significantly reduced.
Analysis of the Car Model and Ackermann’s Steering Geometry
Authors: Liu Su
Published: March 2023

In order to solve the problem of the inside and outside wheels that trace out circles of different radii in a turn, Ackermann's steering geometry was developed. It is a geometric design of the connecting linkage arrangement in the steering of a vehicle to address the steering problems. However, because other factors also influence the design of steering structures, the majority of cars do not have a steering structure that is 100% Ackermann geometry or 100% Anti-Ackermann geometry. The dominant explanation for it has primarily relied on complicated calculations considering the whole structure of a car. In this study, only the most important variable—the slip angle during steering—is taken into account in all computations, which are based on a vehicle force model. Python is used to stimulate the graph and traveling path of the vehicle on lane change and U-turn steering. The research presented in this paper illustrates the significance and distinction between employing Ackerman and Anti-Ackerman geometry and provides guidance on how to select the appropriate steering model for a certain vehicle.
Effective Pathway to High-Performance More-Electric Aircraft
Authors: Wang Yukun
Published: March 2023

The current battery and power system technologies are adequate for electric cars but still not mature enough to be implemented in commercial electric aircraft. This research aims to provide an overview of potential solutions for the electrification of the major systems of conventional aircraft, which includes advancements in the efficiency of the energy systems and reduction in greenhouse gas (GHG) emissions. The background of the evolution of electric aircraft is given in the beginning. The challenges faced by engineers in electrifying the current commercial airliners are introduced and analyzed. Efforts are given to provide an outlook of the current progress of development of this field along with the key technologies applied by current more-electric aircraft (MEA). Finally, several promising future trends in the development of MEA are discussed.
Transportation System Evolution During Garden City Construction and Its Environmental and Economical Impacts in Putrajaya, Malaysia
Authors: Jiang Kexin
Published: March 2023

In the last decades, urbanization has become one of the main transformations in the world. A large population moves from rural areas to urban spaces in both developed and developing countries. To follow the sustainable principle, the design concepts for Garden City have been revealed and applied to undeveloped areas. The Garden City theory forces local authorities to foster native transportation development, which leads to economic growth. Influenced by the Garden City concept, diverse urban areas have shown a series of consequences from human scales to social political and economic models. Putrajaya, as the new Federal Government Administrative Center of Malaysia, is one typical example of relying on the Garden City theory to refurbish the urban area. This study analyses the generation of Putrajaya’s civic transportation system with effects by the Garden City. The discussion also covers the developments’ influence on the city’s urban construction. The appearance of the transportation system has brought a number of people and assisted the mobility of population to Putrajaya. However, with the assistance of the Garden City concept, environmental gentrification has occurred within urban areas. Meanwhile, a neoliberal market in supplying transportation presents a weakness during the evolution. Consequently, there is a need to understand the present transportation system with the concept of Garden City in Putrajaya to better improve the future development.
Current Status and Prospects of Electric Motor Applications for Electric Vehicles
Authors: Jin Chili
Published: March 2023

Nowadays, with the global pursuit of zero emissions, the trend of automobile electrification is very rapid. The drive motor is the core component of electric vehicles, which has an important impact on the working life and performance of electric vehicles. Therefore, all major manufacturers are trying to find and develop better and more efficient motors. At present, the research on driving motor has become a hot issue in the field of electric vehicles, attracting many scholars to carry out a lot of research work. This paper analyzes four common driving motors in the market, discusses their structure, principle and performance, and lists their advantages and disadvantages for comparison. Then it describes the development status of various types of motors and their applications in electric vehicles, and introduces the prospects of electric vehicle motors and suggestions for improvement of switched reluctance motors.
Development and Applications of Cell Sorters Based on Hydrodynamic Filtration
Authors: Ding Jinxuan , Xie Yuan , Zhang Yixuan , Zhang Yuchi
Published: March 2023

Cell sorters is one of the key topics of physical research today. Cell sorters can sort cells, and through this process, specific cell types can be distinguished from other cell types contained in the sample based on the physical or biological properties of the sample. The homogeneous cell population obtained after sorting can be used for a variety of applications, including research, diagnostics and therapeutics. Researchers have made significant progress in cell sorters including the design principles optimization design techniques etc. Cell sorters based on hydrodynamic filtration possesses a channel and a sidewall which could be applied in particle transmission. In this paper, the research method, results, main findings in related research about the cell sorters based on hydrodynamic filtration are discussed. Suggestions for the development and application of the sorter based on hydrodynamic filtration are put forward. Overall, this paper could be a useful reference for those who would like to know sorters based on hydrodynamic filtration.
Analysis of Research Progress of Automatic Driving
Authors: Yan Chuheng
Published: March 2023

With the development of deep learning technology, automatic driving has also developed rapidly, and has now developed to the commercial level. There are many specific schemes and methods, in order to better summarize the existing mainstream methods. This descriptive essay initially introduces the concept of autonomous driving (i.e. what does autonomous driving actually mean) and the literature reviewed in writing this essay. The main body part comprises three subtitles: 1) Technology analysis - three key technologies (perception method, navigation technology and path planning) implemented in autonomous vehicles, 2) Market Analysis – an outline of the current and forthcoming autonomous vehicle market in the perspectives of demand and existing businesses, with statistics provided by organisations like McKinsey & Company and Precedence Research and the last part (3) Advantages (lower expense for customers and reduction in air pollution) and one evaluation (data breach) on autonomous vehicles. This paper has a good summary of the development of automatic driving.
Preface: 2022 International Conference on Theoretical Physics, Computers and Electronic Engineering (TPCEE 2022)
Authors: Kennan Malcolm , Yue Qianjiang
Published: March 2023

This volume contains papers accepted by the 2022 International Conference on Theoretical Physics, Computers and Electronic Engineering (TPCEE 2022), which was held online during December 30-31, 2022 in Toronto, Canada. TPCEE 2022 brought together innovative scholars and industry experts to jointly hold a forum. The main objective of the conference is to promote the research and development activities of theoretical physics, astrophysics, quantum physics, computer engineering, information technology and electronic engineering, and the other objective is to promote the exchange of scientific information among researchers, developers, engineers, students and practitioners around the world.

Over 200 participants from many countries attended this online conference, which included 4 keynote speeches and 48 oral presentations on different aspects of theoretical physics, computers and electronic engineering in 4 sections. The cutting-edge research works were presented by such renowned keynote speakers. The virtual format of TPCEE 2022 was a success where all the participants gathered on the online platform regardless of the time zone and location and share experiences and research findings in their respective fields.

Organizing Committees of TPCEE 2022

Toronto, Canada
The Effect of colliding galaxies on star formation rates based on IllustrisTNG
Authors: Yang Han
Published: March 2023

Galaxy collisions are a complex and common cosmic phenomenon that attracts attention of plenty of scholars. In this paper, the effect of colliding galaxies on the star formation rates will be investigated based on IllustrisTNG, considering three properties of colliding galaxies: distance, velocity and mass. According to the analysis, the deeper the galaxies collide, the larger the SFR values they have. Besides, the effect of collisional and tidal forces on the SFR is continuous. In collisions, galaxies with high relative velocity have higher SFR values compared to galaxies with low velocity; the lighter galaxies have higher SFR values and are more pronounced as the mass ratio of the two galaxies becomes larger. When the colliding galaxies are close in mass, the collision does not have a significant effect on the SFR of both sides. In connection with these results, the possible reasons are discussed for the changing of the SFR by galaxy collisions, i.e., galaxy collisions lead to structural instability of gas clouds in galaxies, causing star formation. These results shed light on guiding further exploration of star formation.
Research on Shape Adjustment of Large Aperture Reflector Based on Differential Equation
Authors: Sun Qiyao
Published: March 2023

The FAST active reflector can transform the reference state's spherical surface into the working condition's parabolic surface by adjusting the system so that the radio telescope has high sensitivity. This paper mainly studies the structure of the ideal paraboloid in the working state and the influence of various factors of the adjustment system on signal reception. The primary cable node distribution model is established based on the paraboloid equation and coordinate rotation. The optimization model, the difference method and the stochastic simulation are used to solve the problem. Firstly, the ideal paraboloid focus selection range is determined as an interval near the feed cabin according to the properties of the focused parallel rays of the paraboloid and the receiving area as the central disk. At the same time, considering the adjustment factors of the reflective panel, the ideal paraboloid endpoint is given. With the constraint interval, an optimization model can be established for the two variables, the distance d from the focal point to the feed cabin and the z-coordinate b of the vertex of the ideal parabola, with the perfect paraboloid and the reference sphere as close as possible as the objective function. It is formed by rotating around the central axis. Therefore, to simplify the operation, the plane because is selected to analyze the ideal parabola, and finally, the optimal solution is obtained by using the two-dimensional grid search algorithm as , , The resulting ideal paraboloid equation is . The FAST active reflector can transform the reference state's spherical surface into the working condition's parabolic surface by adjusting the system so that the radio telescope has high sensitivity. This paper mainly studies the structure of the ideal paraboloid in the working state and the influence of various factors of the adjustment system on signal reception. The primary cable node distribution model is established based on the paraboloid equation and coordinate rotation. The optimization model, the difference method and the stochastic simulation are used to solve the problem.The average vector of each reflective panel can be obtained according to Cramer's law. Then according to the reflection properties of the wave, the direction vector of the reflected electromagnetic wave can be obtained from the incident electromagnetic wave and the average vector. The end of the panel is projected to the feed along the direction of the reflected electromagnetic wave. The cabin's plane can obtain the area reflected from each panel to the plane of the feed cabin. To simplify the calculation and improve efficiency, the Monte Carlo stochastic simulation algorithm is used to obtain the reflected signal receiving ratio of the working paraboloid. The receiving ratio is that the signal receiving the effect of the working paraboloid is much better than that of the reference reflective spherical surface.
Research on Matching and Vertex Cover Problems in Bipartite Graphs using Simplex Method
Authors: Yiu Cheuk Hei Josh
Published: March 2023

This paper considers a bipartite graph where a perfect matching does not necessarily exist. Linear programming is used in this paper as a special case of the linear program is the assignment problem, which is another name for the weighted maximum matching problem. The objective is to show that linear programming, in particular the simplex algorithm, can be used to calculate maximum weight matchings and minimum weighted vertex covers. This study also calculates and shows the equivalence of the maximum matching and minimum vertex cover cardinalities, and uses linear programming duality to present its relevance to König's theorem. Finally, Hall’s marriage theorem is used to explicitly prove the absence of a perfect matching in particular graphs. There exist many algorithms developed over the years that are designed to solve maximum matching problems in polynomial time, but the simplex method is one of the oldest and simplest algorithms to understand in solving these problems.
The reality of Complex numbers
Authors: Cheng Yuran , Lyu Meng , Zhang Ziqi
Published: March 2023

What is a complex number? The question may be well solved today, but about 400 years ago it would have baffled many mathematicians. For example, how was it possible to define the square root of a negative number, which was an "impossible" quantity at the time, but they were all real quantities in mathematics. Complex analysis is now recognized as a fundamental part of mathematics because of its many applications in physics and engineering as well as its connections to other branches of mathematics. By solving some equations of more than one degree, complex numbers were produced. Most mathematicians focused on real analysis and physics applications until the nineteenth century. Cauchy was the first figure to make a considerable effort in a challenging examination. He calculated a number of complex integrals using his integral formula, establishing the foundation for defining the operations and characteristics of complex analysis. Gauss furthered the development of the complex number geometrical theory. The first part of this essay focuses on the history discovery of mathematical and geometrical aspects of complex numbers. The topological features of the complex plane are then carefully understood after that. The beautiful characteristics of complex functions and series are finally compiled based on the topology of the complex field.
Discovery of Complex numbers
Authors: Zhao YangYi
Published: March 2023

A branch of mathematical analysis called complex analysis studies the functions of complex numbers. It is also sometimes referred to as the theory of functions of a complex variable. Complex analysis has been used extensively in mathematics, physics, and engineering over the years, particularly in the areas of algebraic geometry, fluid dynamics, quantum mechanics, and other related fields. It dates back to the 16th century, when Italian mathematicians Girolamo Cardano and Raphael Bombelli first noticed complex numbers while attempting to solve a particular algebra, and was later developed by Cauchy and Riemann in the 19th century. The development of complex numbers has a lengthy history. Mathematicians have advanced the discipline of mathematics significantly after thousands of years of development. During this time, mathematicians also found a great deal of previously unknown mathematical information and proved formulae and phenomena that had previously been impossible to verify. And it covers complex numbers as well as some of the mathematics related to them. In this paper, the complete discovery of complex numbers from cubic equation to topology of complex numbers is detailedly revealed.
Cubic equation and topology of complex numbers
Authors: Cheng Qihang
Published: March 2023

The study of complex analysis is an intriguing and technical topic. Over the past few centuries, mathematicians have produced ground-breaking work in this field. Mathematicians initially defined complex numbers, and then they gradually investigated their algebraic and geometric properties. They stumbled upon and researched intricate calculations hundreds of years later. The solution of the cubic equation has motivated mathematicians to explore the study of complex numbers, but it has also advanced mathematics in many other ways by exposing previously undiscovered issues. First off, when there are multiple real roots to the equation, it is impossible to obtain all of them using Cardano's formula at that time without understanding the fundamentals of complex numbers. Therefore, when they test various examples, mathematicians occasionally discover that there are other roots that are quite clear but are impossible to pass via Cardano's formula. In this paper, it start from the research of cubic equaiton and then discuss in detail topology of complex numbers.
Complex number and its discovery history
Authors: Chen Wenhao , Zhang Dazheng , Zou Yuteng
Published: March 2023

The operations of complex numbers are the main subject of the mathematical analysis area known as complex analysis. It is also known as the theory of functions of a complex variable. The primary research topic in the field of complex analysis is holomorphic functions. These functions are defined on the complex plane, have differentiable properties, and allow for negative values. The residue theorem, the Cauchy integral formula, the Laurent series expansion, etc. are a few concepts, ideas, and methods that are commonly used in research. In particular, over the years, complex analysis in mathematics, physics, and engineering has been extensively used in algebraic geometry, fluid dynamics, quantum mechanics, and other related areas. Two Italian mathematicians, Girolamo Cardano and Raphael Bombelli, discovered complex numbers in the 16th century while attempting to solve a particular algebra, and Cauchy and Riemann extended it in the 19th century. This essay begin with investigation of arithmetic propertity of comlex numbers and then fully explores history development of complex numbers.
Methods to Solve Laurent Series of Complex Functions
Authors: Song Chenhao
Published: March 2023

In practical applications, there are always a lot of complex functions, which often make physicists and mathematicians very headache. It is a very important idea to use a polynomial function to approximate a complex function. This paper is about the Laurent series of complex functions, which includes holomorphic functions and meromorphic functions, and tries to derive a general formula or a general way to compute the Laurent series. This paper also includes several basic examples of different types of complex functions and the process to derive the Laurent series of these functions. By finding similarities and summarizing the process, a general method for each or overall function is shown. Examples include common fractional functions, Trigonometric functions, and exponential functions. Some of them include different ways of computing according to it’s characteristics. An analytic function can be extended to a function obtained by analytic extension of the Taylor series defined on an open region on the complex plane, and this method of complex analysis is feasible.
The Comparison of Five Methods of Detecting Exoplanets
Authors: Chen Wenda
Published: March 2023

Detecting exoplanets has become a hot topic, where various detection scenarios have been proposed. Five of these methods have all found more than 50 exoplanets, which are the transit method, the radial velocity method, the microlensing method, the imaging method, and the timing method. This paper aims to find their pros and cons, and the type of exoplanet that is suitable for each method by comparing the characteristics of exoplanets found by each method and the detection result of each method. The transit method is suitable for exoplanets with short periods possessing the advantages of measuring various parameters of exoplanets simultaneously, but can confuse exoplanets and other celestial bodies with the same radius of planets. The radial velocity method is best for exoplanets with small orbit radius or large mass, whereas it can only determine the minimum mass of exoplanets. The microlensing method can find exoplanets that are extremely far from the Earth or even rogue planets, as well as their mass. However, it does not allow researchers to observe the exoplanets found by it twice. The imaging method offers a tool to directly observe exoplanets in the infrared band. It can detect exoplanets that are extremely far from their host star with relatively high temperatures or rogue planets, but these are also the types of exoplanets that it can be detected. The timing method allows observers to discover exoplanets around pulsars, pulsating stars, eclipsing binaries, and planetary systems with discovered planets, but it is limited to these types.
Detection of Gravitational Wave in LIGO and Significance Evaluation
Authors: Chen Zhiyu
Published: March 2023

Gravitational wave detection plays crucial role in astrophysics and cosmology, which can prove the theoretical models as well as demonstrate the detail information in the universe. As a concept proposed based on general relativity, it has not been detected until the invention of the most advanced detectors, i.e., Laser Interferometer Gravitational-Wave Observatory (LIGO). In this paper, the state-of-art detection facility LIGO will be discussed in detail. To be specific, the detection principle of gravitational wave as well as the detection facility components and requirements will be illustrated. In addition, the significance of detecting gravitational wave will be clarified. On the path paved by pioneering physicists, this study looks further into the mechanism of the LIGO detection method and the significance of detection of gravitational wave. Moreover, the newest detection results are analyzed, and the corresponding improvements suggestions and future outlooks are presented and proposed accordingly. These results shed light on further exploration of gravitational wave detection.
Calculating Specific Integrals by Using Residue Theorem
Authors: Zhang Zihan , Xu Xinyang , Yang Xinhao
Published: March 2023

The aim of this paper is to solve the some specific integrals such as , , , and . The traditional method is that people normally decompose this polynomial into several partial fractions first. This process involves adding it all up, expanding brackets, and doing matrices computation, which takes too many steps of calculation. The partial fraction part requires using Euler’s formula and large amounts of expanding brackets to prove that the multiplication of those partial denominators is equal to the denominator given in the original equation. Once making one little mistake, the next process will be all nonsense. Therefore, introducing complex analysis and residue theorem can result in considerably fewer calculation steps than the traditional method does in order to calculate integral, as opposed to completing hundreds of steps of partial fraction decomposition and substitution. To solve the first integral: , we can rewrite Cauchy’s residue theorem in a new form, by considering residue at infinity , .Then, we can get the coefficient of  and hence compute the integral. For the second and third integral: , and , we exploit the reciprocal function of Taylor polynomials, writing  and  in a new form to get the coefficient of  Then we can compute the integrals by using the residue theorem.
Analysis of Amazon Stock Using Simple Linear Regression and Time Series ARIMA Model
Authors: Ma Xiaoyu
Published: March 2023

The rate of daily return of a stock is one of the important indicators for investors to anticipate benefits or losses from historical data. This paper will focus on the stock of Amazon, which is a popular choice for stock traders and contains data from August 25, 2017, to August 24, 2022. By using regression models such as a simple linear regression model and an autoregressive integrated moving average (ARIMA), the recent daily return value is predicted based on data during these 5 years. The simple linear regression can show the trend of stock price and the predicted response rate of daily return using the linear model. Furthermore, ARIMA is a more advanced time series model to provide a more accurate rate of daily return with confidence intervals. The predicted trend and rate of daily return are useful for investors to make decisions to buy or sell a stock recently. The trend can tell investors whether the stock price would go up and the daily return can indicate how many benefits can they earn if they choose to invest in this stock.
Fourier series and its property
Authors: Xiao Ran
Published: March 2023

Fourier analysis appeared to solve some partial differential equations at first. In 1747, D’ Alembert solved the vibrating string equation using the method of traveling waves. In 1753, D. Bernoulli proposed the solution which for all intents and purposes is the Fourier series, but Euler did not convince of its full generality entirely since he could not make sure whether any function could be expanded in the Fourier seriesFourier analysis is an important theorem of modern mathematics. It deeply influences the development of partial differential equations and information science. This paper will talk about some basic propositions of the Fourier series and some simple theorems of the Fourier transform. It will use an algebraic view to talk about convolution and good kernels. It will refer to some methods of Hilbert space and complex analysis.
The Use of Fourier Transform in Heat Equation and Wave Equation
Authors: He Chenxi
Published: March 2023

In the solve for the equation for heat transfer and wave movement, using Fourier Transform to simplify the differential equation and solve it. With the periodic property of the wave including standing wave and vibrating string and heat equation and its stable solution, it can provide many new properties of the equation. Then using the same method to solve the heat equation in space, it gives a similar equation like the plane heat transfer equation. The passage mainly discussed about using Fourier transform to solve standing waves equation heat equation in steady state and in the time dependent state. The general way of solving wave equation both standing wave and traveling wave) is finding differential equation for a half period, expending it into the R, using Fourier transform to solve the equation.
The Design and Development Status of Service Robots in Human-Aid Activities
Authors: Xie Qiming
Published: March 2023

The breakthrough in artificial intelligence technology and the decreased cost of core robot components have accelerated the perception of service robots in various fields. The application scenarios of service robots are complex and diverse, including retail, logistics, medical care, education, security, etc., to achieve diversified and complex functions. Artificial intelligence technology is an important determinant for service robots to achieve substantial progress in the next stage of development. Thus, in this paper, three typical types of service robots, including domestic service robots, outdoor service robots, and the service robot for the elderly and relevant technology advancements are introduced and discussed. It could be concluded that the development of more compatible materials and the controller and sensor technology can effectively improve the sensitivity of the robot and the ability to adapt to complex environments, thus improving the diversity of functions, the convenience of use, and accelerating the commercial application of robots. The paper provides constructive suggestions for the development of service robots in the future and hopes to accelerate the large-scale popularization of service robots.
Analysis On Surface Enhanced Infrared Absorption Characteristics of Multi-Resonance Optical Antenna
Authors: Zhang Ruiqian
Published: March 2023

Infrared spectroscopy is an important detection technique. Because each functional group of different molecules has a fixed vibration mode, the molecules can be detected by infrared spectroscopy in the mid-infrared region. Metal nano-optical antennas can be used to construct high-sensitive sensors to detect different molecules. A structure with multi-band plasmon resonance is designed, which is composed of one gold nanorod and two symmetrical opening frames in order to detect the different target molecules simultaneously. In this study, the surface electric field distribution of the optical antennas is simulated by using finite difference time domain method (FDTD). In addition, the effects of the optical antenna structure on the surface enhanced infrared absorption (SEIRA) characteristics of the antenna are investigated. The different modes can be coupled, which brings new plasmon resonance peaks. It has been analyzed by the localized surface plasmons theory. These results provide a theoretical reference for the application of the new infrared sensing technology and shed light on guiding further exploration of infrared detectors.
Stroke Risk Prediction Based on Machine Learning Algorithms
Authors: Chen Zijun
Published: March 2023

Stroke is one of the main causes of long-term disability and death around the world. For its significant impact, stroke is also defined as a medical emergency, where immediate treatment is vital to save patients’ lives. For these reasons, an efficient prediction plays an important role in stroke prevention and cure. In this paper, attempting to implement a model predicting stroke efficiently, logistic regression and random forest algorithms are adopted, as well as a stroke dataset. They are trained and make predictions with the preprocessed dataset independently. Multiple evaluation indicators are employed to evaluate the two models’ results. Comparisons between their performances and the reasons for their discrepancies are both introduced, based on which the more suitable one is chosen as the final model. Models’ bias and variance and how they influence the results are discussed as well. In addition, some helpful propositions and approaches to improve the model’s performance will also be introduced.
Image Super-Resolution Via Gradient Guidance and Gnenrative Adversarial Network
Authors: Ma Dongmei , Li Yu
Published: March 2023

In order to solve the problem that the existing image super-resolution reconstruction model generates poor visual quality and prone to structural distortion, a deep gradient guidance based on generative adversarial network is proposed. The generator introduces the gradient branch to transfer the features of the gradient image and fuses the gradient information with the image branch to prevent the image edge distorted. Referring to MSRB, ResNext and Inception, an improved multi-scale residual block is proposed and applied to the basic module of the image branch and gradient branch, which makes model easier to obtain multi-scale information. The discriminator uses WGAN-GP to improve the stability of network training. Compared with the perceptual-driven algorithms such as SRGAN, ESRGAN and NatSR, the proposed algorithm can effectively prevent structural distortion of the image and improve the quality of the generated image. The computational complexity of proposed model is 23.7GFLOPs, which is lower than ESRGAN and SPSR about 1/4 and 1/10.
Overview of Underwater Wireless Communication Routing Protocols
Authors: Liu Yinan
Published: March 2023

Underwater wireless communication is the use of acoustic, optical, electromagnetic waves and other technologies to send information underwater. This article reviews existing routing protocols for underwater wireless communication network design. Particular attention is paid to their performance in terms of communication efficiency, data rate, latency, and packet loss. The different types of routing protocols are discussed in detail, highlighting their respective strengths and weaknesses. This article also covers issues related to security and scalability and how they affect the performance of the entire network. Finally, this paper discusses the future trend of underwater routing protocols and proposes promising research directions.
Session-based Recommendation with Preference Interaction
Authors: He Jingyuan , Yang Bailong , Tian Yuan
Published: March 2023

Graph neural network have achieved great success in session-based recommendation. Recently, some works have achieved improvement by incorporating income and outcome adjacent matrices to generate global and local preferences, and directly model the two preferences to build session representation. However, firstly, we observe that the income matrix and outcome matrix of a session have no strong relevance, and their concatenation may introduce noise for building two preferences. Secondly, we find the global and local preferences can benefit from each other, and collaborative information from neighborhood sessions may help to improve recommendation performance. Therefore, we propose a session-based recommendation with preference interaction from separate income adjacent matrix and outcome adjacent matrix framework, which includes two parallel modules: An Income Session Representation Encoder (ISE) and an Outcome Session Representation En-coder (OSE). A fusion gating mechanism is introduced to balance the importance of session representations resulting from ISE and OSE. The experimental results show that our model obviously outperforms other state-of-the-art methods on Yoochoose and Diginetica datasets.
Research on Improved BP Neural Network Prediction Based on Niche Particle Swarm Optimization Algorithm
Authors: Jin Shengjie , Zhang Chunguang
Published: March 2023

As for data prediction, a prediction model is proposed based on BP neural network. This method is based on the traditional BP neural network algorithm to improve the problems of slow convergence speed and easy to fall into local optimum. The idea of niche is introduced into the particle swarm optimization algorithm to improve the global search ability and convergence speed, find the global optimum value, and then use LMBP neural network to continue to optimize the parameters to improve the prediction effect.
Hyponatriëmie onder invloed van carbamazepine en oxcarbazepine
Authors: De Haan Gerrit-Jan
Published: March 2023

Op 19 december 2022 vond in Utrecht de promotie plaats van Bianca Berghuis, op een proefschrift getiteld: Carbamazepine en Oxcarbazepine Induced Hyponatremia.
Demographic factors influencing Lumpy Skin Disease (LSD) prevalence at Barishal district in Bangladesh: A retrospective study
Authors: Sayed Abu , Hossain Md , Akter Sabiha , Rashid Mohammad
Published: March 2023

Lumpy Skin Disease (LSD), a contagious viral disease, had been a matter of great concern for Bangladesh as the outbreak of LSD occurred in the mid of 2019. Later the disease began to show symptoms like significant production loss, infertility, aberrant pregnancies and abortions, and even fatalities. So, a retrospective study was carried out to investigate the prevalence rate and associated risk factors of LSD in cattle at Barishal district, Bangladesh. The study was performed at Upazilla Veterinary Hospital, Babuganj, Barishal from January 2021 to June 2022. Among 2047 clinical cases reported at the hospitals, 44 cases were found as LSD positive. The prevalence rate of LSD in the aforementioned territory was 2.15%. The highest prevalence was estimated in June 2022 (13.39%) followed by May 2022 (7.32%), August 2021(4.35%), February 2021(4.00%), April 2022 (2.23%), March 2021 (1.69%), February 2022 (1.53%), March 2022(0.76%), September 2021 (0.75%). In the contrast, no LSD case was detected in Jan 2021, May 2021, Jun 2021, Oct 2021, Nov 2021, Dec 2021, and Jan 2022. Breed [χ2 (1, N=2047) =4.989, p<.05] and sex [χ2 (1, N=2047) =4.695, p<.05] of the animals were identified as significant demographic factors for LSDV infections in this locality. Additionally, indigenous breeds [(2.63%), 95%CI: 2.454 (1.088-5.534)], females [(2.76%), 95%CI: 0.484 (0.248-0.946)] and older cattle (>5 years) (3.48%) had a greater prevalence rate than the crossbreeds, males and younger cattle respectively. As LSD has recently become more prevalent, restriction of animal movements, control of vectors, proper vaccination and treatments, routine-wise animal screening, immediate isolation and quarantine of the affected animals are some of the strategies that are strongly recommended and might be followed for reducing the LSD occurrence and spreading in this area.
Intercultural Communciation in the International Negotiation
Authors: Li Shurun , Shangguan Saier , Shen Yujia , Yu Yitian
Published: March 2023

With the gradual increase of international trade, international negotiation has become an indispensable skill in today's society. Intercultural communication is becoming more and more important in international negotiations. Effective cross-cultural communication and international negotiations with the other side can leave a good impression. Understanding the cultural differences between the two sides in international negotiations greatly improves the success rate of negotiations. However, to avoid offending others easily in negotiations, it is important to understand the negotiator's culture of the other party in advance. This paper mainly studies the factors that lead to cross-cultural negotiation, how to better analyze the differences in cultural differences, and how to carry out intercultural communication more effectively. Finally, it is concluded that it is important to respect the culture of other negotiators and understand the cultural background of other negotiators. This paper puts forward targeted suggestions, raises the issue of cultural differences, and helps promote the success of international negotiations in the context of cultural differences.
The Research on the Representational Strategies of Femme Fatale in Contemporary Chinese Film-noir
Authors: Liu Siwei
Published: March 2023

In 2014, Chinese director Diao Yinan’s feature Black Coal, Thin Ice wins the Golden Bear Award for Best Director at the 64th Berlin Film Festival, sparking enthusiastic discussion on the prospect of the so-called 'Chinese film-noir'. Among the classic noir elements that sparked discussion in these films, the lethal woman, or the ‘femme fatale’ stands out to be the one that attracts the most attention. In the span of a decade, the Chinese femme fatale varies quite enormously in her role in the narrative and the gender implication her relationship with the noir hero represents. This essay will build on Mark Conrad’s definition of film-noir, Jack Boozer’s categorization of femme fatale, and Elisabeth Bronfen’s tragic theory to analyze the construction of femme fatale in 2010s Chinese film noir. Equipped with these theoretical tools, this essay will focus on recent Chinese films-noirs and draw connections between their different representational strategy of the femme fatale to complete their noir narrative. This essay argues that while films like the Hunt Down (2019) and Long Day’s Journey Into Night (2018) approaches the lethal woman in the classic androcentric or even misogynist way, Black Coal, Thin Ice (2014) and the Wild Goose Lake (2019) endows her with more subjectivity and agency while complicating her relationship with the noir hero.