bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of the Fed's Interest Rate Hike on the Financial Industry: Focusing on the Exchange Market and Capital Market
Authors: Kang Jiayi
Published: July 2023

Since the outbreak of the Covid-19 epidemic, the Federal Reserve has implemented extremely loose fiscal and monetary policies, which has exacerbated the inflation problem in the United States. To combat high inflation, the Fed began raising rates in March 2022. This paper evaluates the impact of the Fed rate hike on the US financial sector, as well as on the foreign exchange market and the global capital market. The study found that higher interest rates could lead to higher interest rates in the interest rate market, and money would also flow from the stock market to the bond market, dealing a huge blow to banking funds. The paper also assesses the pace and magnitude of rate hikes and concludes that the Fed needs to slow and narrow the pace of rate hikes to prevent too fast and too large a rate hike from potentially causing chaos in the domestic financial sector.
Research on the Two-way Influence of US Monetary Policy Since the COVID-19 Pandemic
Authors: You Jiacheng
Published: July 2023

Based on the novel coronavirus outbreak, the global economy has been strongly impacted, resulting in a worldwide economic recession. This paper mainly studies the orientation and target changes of the US monetary policy, adopts the method of dialectical analysis and data empirical analysis to study the two-way influence of the Fed monetary stance, and shows that implementation of monetary policy has an obvious two-way influence on the economy, that is, monetary policy will inevitably cause the imbalance between inflation and unemployment rate. Expansionary monetary policy can reduce unemployment and stimulate the economy meanwhile, it will lead to the accumulation of inflation. The tightening of monetary policy will lead to unemployment and economic recession while easing inflation. Excessive accumulation of negative consequences of monetary policy will result in a deeper economic crisis, which will become the main factor affecting the change of monetary policy direction. This shows that the monetary stance orientation of the Federal Reserve is based on the balance of advantages and disadvantages of its two-way effects, and the timely change of monetary policy orientation is the key to mitigating the negative effects caused by monetary policy.
Risk Assessment on Bank of America
Authors: Yang Lujing
Published: July 2023

This paper analyzes the risks faced by Bank of America and the strategies it adopted for risk management in 2021 during the COVID-19 pandemic. Three major risk categories were particularly focused on: liquidity risk, credit risk, and exchange rate risk in this paper. The study examined the bank's risk exposure in these areas, assessed the effectiveness of its risk management practices, and evaluated the impact of market volatility on its financial performance. Based on an analysis of Bank of America's 2021 annual report, this article provides insights into the bank's overall risk position and emphasizes the importance of effective risk management practices in the banking industry. As for the results, Bank of America mitigated the impact of COVID-19 through various risk management strategies but still faces risks in the current unstable economic environment. Additionally, incomplete data and information in the report require further analysis to evaluate Bank of America's risk management situation.
Exploring the Impact of COVID-19 on Financial Derivatives Markets
Authors: Chen Tingyu , Li Zihan , Liu Yitong , Zhang Yewei
Published: July 2023

Currently, financial derivatives are important financial instruments. Financial derivatives can provide investors with the opportunity to hedge, speculate, and arbitrage. But due to the impact of COVID-19. The performance of financial derivatives has changed dramatically compared to the pre-epidemic period. This dissertation focuses on the performance of three major financial derivatives which include futures, options, and credit under COVID-19. The phenotypes of these three major financial derivatives are analyzed separately. In this paper, we examine the extensive literature to demonstrate the changes in financial derivatives during COVID-19. By collecting a large amount of data about financial derivatives during the COVID-19 period and before. And the data are quantitatively analyzed to show the specific performance of financial derivatives under COVID-19. The study found that there is a huge variation in the performance of these three financial derivatives in COVID-19. For futures, foreign performance futures can bring a negative impact on financial markets. As for domestic, the performance is different during the emergency resistance period and the normalized resistance period. The performance of the emergency resistance period is significantly less than the normalized resistance period. For options, the volatile market sentiment and panic caused by recurring epidemics affect investors' judgment, which leads to changes in the implied volatility of options and affects the price of options. For swap specify its basic means of operation in an epidemic state and the basic types.
A Systemic Failure: Understanding the Role of Regulation and Risk in the 2008 Financial Crisis
Authors: Guo Qichao
Published: July 2023

With the advent of the 21st century, the world is slowly developing in the direction of diversification, and world diversification also brings economic diversification. The cooperation between countries is getting closer and closer, economic exchanges are becoming more and more frequent, and the possibility of financial hidden dangers is slowly increasing, and the deepening of the international division of labor means that once there is a financial problem, then the world will suffer serious consequences, which makes the study of financial crisis an indispensable matter at present. Based on the subprime mortgage crisis of 2008, this paper analyzes the macroeconomic policies of the United States before the crisis, the loose financial regulatory system and lending standards, and the direct factors that led to the crisis, and finally explains the impact of the crisis on the world after the crisis, as well as the remedial measures of countries around the world represented by the United States. By discovering the fundamental cause of the subprime mortgage crisis of 2008 and improving the policies of various governments in financial supervision after the crisis, this paper aims to illustrate the importance and necessity of studying the financial crisis to the development of the world economy.
An In-Depth Analysis of the 2008 Financial Crisis
Authors: Li Yuhan
Published: July 2023

The financial crisis of 2008, which is a huge crisis that originated in the United States. This crisis is the most serious crisis since the Great Depression in the 1930s. It has a huge impact on the whole world. People generally call it the financial tsunami. The global economy's healthy growth has been negatively impacted by the worsening financial crisis. The governments of all nations are dealing with a serious economic crisis, which affects everyone from Wall Street to the rest of the world, the financial sector to the real economy. Then how did the financial crisis break out? What was monetary policy like then? Whether you are a finance major or not, the word subprime is stressful. So, what is subprime? What mechanism caused the financial crisis? How has the financial crisis affected the United States and the world? Why has this financial crisis had such a big impact? And how did the financial crisis end? What can people learn from this?
Transformation of Retail Banking with the Internet Finance Disruption
Authors: Chen Jiayu
Published: July 2023

The emergence of new technologies, such as the Internet and big data, has brought about significant changes in people's daily consumption and investment habits. This has led to the rise of Internet finance, which has penetrated into all aspects of life, including the retail business of banks. However, the COVID-19 epidemic has dealt a severe blow to the physical industry, including the retail business of banks. This paper examines the impact of the COVID-19 epidemic on the retail business of banks and explores how commercial banks can take advantage of the opportunities presented by the current situation. Specifically, the paper discusses the importance of launching new products that cater to the changing needs and preferences of customers in the digital age. The paper also highlights the need for banks to improve their service efficiency through the use of technology. In addition, this paper provides insights and recommendations for commercial banks on how to transform and develop their retail business in the post-pandemic era. To survive and thrive in the post-pandemic era, commercial banks need to launch new products, improve service efficiency, and leverage the long tail effect to transform and develop their retail business.
The Price of Risk: Exploring the Impact of the 2008 Global Financial Crisis
Authors: Zhao Yihan
Published: July 2023

This research article delves into the 2008 global financial crisis, analyzing its causes, consequences, and effects. The study highlights the role of the Federal Reserve's monetary policy and subprime mortgage lending in triggering the crisis, which eventually led to the collapse of the credit default swap market. The study also examines the aftermath of the crisis, including the breakdown of Lehman Brothers and the high unemployment rates that ensued. The paper further explores the regulatory changes brought about by the Dodd-Frank Act and Basel III, aimed at preventing similar crises in the future. Overall, the research emphasizes the importance of studying financial crises to be better equipped to tackle future challenges. The paper serves as a reminder that the consequences of financial crises can have far-reaching impacts on the global economy and highlights the need for effective crisis management strategies to mitigate their effects. The findings of this study may help inform policymakers, academics, and investors on the importance of understanding the causes, consequences, and effects of financial crises.
Analysis of Differences Across Types of Interior Parts of Computer and Computer Price
Authors: Lu Jingcheng , Sun Ziwen , Yu Xiaole
Published: July 2023

The enhancement of digital computers takes an active part in promoting the development of different aspects of the world. In the meantime, interior parts of computers are also rapidly enhanced and refined. Various combinations of inner parts of a computer would play a decisive factor in the cost so the aim of this article would discuss the relationship between the performance parameters of computers and the prices. This article divides the performance parameters of computers into nine aspects, such as speed, RAM size, etc., With an emphasis on the connection between the price of the computer and its performance parameters. This article employs a multiple linear regression and a logistic regression model to estimate the pricing using computer configuration parameters. The MSE, AIC and other parameters are established to measure the goodness of fit for models. In order to forecast prices for computers with certain performance specifications, an optimal model is finally developed.
The Influence of Independent Director Characteristics on Financial Fraud Based on A-share Listed Companies
Authors: Zhang Bihe
Published: July 2023

Recently, independent directors have attracted the attention of scholars, and the possible impact of their different characteristics has become a hot research topic. The frequent occurrence of financial fraud incidents has stimulated academic circles to think about the corporate fraud. In this context, this article’s sample is the A-shared public company in China for 10 years. By accessing to consult relevant literature, hypotheses are proposed and logistic regression models are established. For a more comprehensive consideration, the study not only considers the effects of the individual characteristic but also builds a comprehensive indicator. It can be seen from the outcomes that independent directors’ comprehensive characteristics and financial fraud are significantly negatively correlated. Female and highly educated independent directors, and those with academic, financial and accounting background play an important role in reducing the company's financial fraud. Based on this, diversification and overall consideration of independent directors cannot be ignored. This is helpful for strengthening corporate governance and reducing financial fraud.
Research on the Influence of Financial Mathematics on Modern Financial Market
Authors: Bao Zhixuan
Published: July 2023

In the process of continuous reform and development of financial markets, financial theories are constantly updated and the research and development of financial mathematics becomes more and more important. This paper focuses on the impact of financial mathematics on modern financial markets. Starting from the emergence and development prospect of modern financial mathematics, the impact of financial mathematics on the development of modern financial market is comprehensively elaborated by analyzing financial mathematical theories, such as harness theory, stochastic optimal control theory and optimal stopping theory, and analyzing the application of mathematical models in financial theory. Financial mathematics not only effectively drives the innovation and iteration of financial instruments, but also has a direct role in the development of financial markets. The article focuses on the application of mathematical knowledge in several financial problems, aiming to provide reference and reference for advancing the application of mathematical knowledge in the field of finance.
Analysis on Hedging and Risk Management of Options and Futures
Authors: Yang Siyuan
Published: July 2023

Options play an irreplaceable role in today's financial markets This article begins with an introduction to the meaning and rules of use of options, where a party who owns an option has the right, but not the obligation, to buy or try to sell an asset at a particular price on or before a specific date. As the price of the underlying changes, the option price changes along with it, providing an opportunity to hedge risk and speculate. In the face of different market conditions, this article proposes different options strategies that enable investors to choose the right combination of options to mitigate risk and get more returns under different circumstances. Maximize gains or minimize losses by taking advantage of the different properties of call and put options and the effects of the combination. Finally, this article draws conclusions on the characteristics of futures in risk management and the implications for investors or companies.
The Impact of Green Finance Policy on Corporate R&D Expenses
Authors: Xu Mingchen , Yao Yuchen
Published: July 2023

In 2017, the pilot policy of green finance was initially officially implemented to govern the corporate environmental issue. Five provinces with different levels of development were selected to carry out pilot policies of green finance by being provided with credit support and low interest rate. This paper aims to study the effect of the implementation of green finance policies on local R&D. We look the pilot policy of green finance in 2017 as a natural experiment and use the DID method to regress the fixed effects of individuals and years with the R&D spending. We found that green finance policies could ease the constraints brought by the original local economic and political environment to enterprises. Another explanation may be that banks' financial support for enterprises improves the efficiency of R&D, reduces unnecessary R&D waste, and enables enterprises to continue to develop in the period of economic growth with less capital. In order to verify the validity of the model construction, we conducted the Hausman test to verify the validity of selecting the fixed effect, and conducted the parallel trend test to verify the accuracy of our 2017-2019 policy pilot time. Finally, we conducted two robust tests——placebo test to control the time and the PSM-DID. We all obtain the significant experimental results. Then, we puts forward policy suggestions based on the conclusions, which can be used as reference for future research and for the effect of the application of green finance policies in heavily polluting enterprises.
A Comparative Study of the Investment Behavior of Financial Asset Investors
Authors: Wang Yan
Published: July 2023

In China's capital market, investors can be divided into two categories: individual investors and institutional investors. Different from foreign capital markets, in China's capital market, individual investors account for a relatively high proportion of investors, China's market is basically dominated by individual investors, retail characteristics are obvious. Due to the short establishment of China's capital market, it is not a completely effective market, the entry threshold is low, the education of investors is not perfect, the investment literacy and investment knowledge accumulation of individual investors is not high enough, and due to the existence of investor cognitive bias, individual investors are often in a weak position in the capital market, and the investment returns of individual investors are often lower than those of institutional investors. Therefore, the research in this paper is aimed at the investment behavior of individual investors. The research includes the influence of individual characteristics of investors on investment decision-making behavior, the effect of Internet media use on urban and rural households' financial investment behavior, the regional heterogeneity of residents' choice of financial assets, the role of risk aversion and subjective well-being on family participation in risk financial markets, and the influence of family age structure, health status, financial experience, financial literacy and trust on household financial asset allocation.
A research on the converging process in a T-shape tube
Authors: Peng Xi , Yu Jiarui , Yuan Hongmin
Published: July 2023

A T-shape tube is an important structure in chemical engineering and other fields. This article utilizes the CFD method on python with a simplified Navier-Stokes equation to stimulate the converging process of different fluids and studies the influence of inflow speed, viscosity, density, diffusion coefficient, the diameter of the tube and the length of the tube on the transmission characteristics like pressure and flow field. The results indicate that the ratio of the velocity of the main tube to that of the branch, the diameter of tube AC and tube B is inversely related with mixing efficiency and that the increase of pipe length at outlet tube and the diffusion coefficient of fluid is positive to the well-distributed concentration of outflow. However, the density and viscosity of inflow seem to have little impact on the mixing process.
Flexible Tactile Sensors in Electronic Skins
Authors: Xu Lingtian
Published: July 2023

With the rapid development of robot technology, robot is widely used in daily life. According to different functions, the new generation of robots can be classified into social robots, medical robots, auxiliary robots and humanoid robots. Compared with traditional human-controlled industrial robots, these new-generation robots have the characteristics of close interaction, so it is particularly important to have a safe and accurate interaction system, and the tactile sensor has become the key to achieve this function. Tactile sensors can mimic human skin, and they can express temperature, humidity, force and other senses in a digital way, so that the robot can perform tasks completely and accurately in the process of interacting with the external environment. Flexible tactile sensors have the advantages of flexibility, light weight, versatility and affordability and have possible applications in wearable electronics and artificial intelligence. Therefore, more and more researchers began to study tactile sensors. This review gives an overview of advanced flexible tactile sensors, which focuses on the working principle, new materials and application prospect of three mainstream flexible tactile devices, namely piezoelectric sensor, conductive sensor and resistive tactile sensor. Finally, possible routes, future tendency and new opportunities are presented.
Analysis of Path Planning Algorithms for Service Robots Applied in Indoor Environments
Authors: Jia Shenghui
Published: July 2023

Path planning technology is one of the key issues in solving mobile robot navigation technology. On the basis of traditional path planning algorithms, a large number of algorithms have been improved and applied to achieve better results, like fireworks algorithm, ant colony algorithm, A* algorithm, particle swarm algorithm, genetic algorithm, firefly algorithm, and artificial potential field method. The optimization and improvement of algorithms have made today's path planning technology more comprehensive and effectively improved the accuracy and efficiency of indoor service robot path planning. This article analyzes the development status of path planning technology for indoor environment service robot. Firstly, typical application scenarios are listed and the significance of path planning algorithms in them is introduced in combination with their application requirements. Then, some classic indoor scene path planning algorithms and improvement strategies are compared and analyzed. Finally, a summary and discussion of the above indoor environment intelligent robot path planning methods are presented.
Research On the Optimization Methods of Truss Structure Based on Three Basic Truss Mechanical Analyses
Authors: Shi Bowen
Published: July 2023

In this research, the historical development and characteristics of truss structure are briefly summarized, and the development track of truss calculation theory is introduced. In view of the triangle, square and folded trusses, the stress analysis is carried out and its distribution characteristics are obtained, then drew the conclusion of the practical engineering scene, finally got the result of the prospect of the truss structure and its optimization.
A Study on the Regeneration of Cultural Tourism Resources in Historic Districts from the Perspective of Experience Economy - A Case Study of Macao's Lai Chi Vun Historic District
Authors: Tang Chi Fong
Published: July 2023

As a microcosm of the city's development, the historic district is a witness to the long years of a city. It is through the revitalization of the historic district that the district will not be eliminated in the process of rapid urbanization. The experience economy is an emerging economic model that emphasizes personalized design concepts and pays particular attention to consumer perceptions, and a historic district driven by the experience economy can be re-invigorated to bring its own connotations into line with modern perceptions and needs. This paper takes the Lai Chi Vun historic district in Macao as an example, and uses the concept of experience economy to revitalize it, with a view to saving the Lai Chi Vun shipbuilding industry from decline and exploring the development mode of industrial heritage in the wave of post-industrialization.
Modeling and Analysis of the Entire Process of Building Seismic Loss Based on Probability Theory
Authors: Xu Zizhen , Zhou Zirui
Published: July 2023

The objective of this paper is to explore the relationship between earthquakes and building losses and to attempt to develop an ideal model to analyze post-disaster building losses in Sichuan Province, China for economic analysis, seismic analysis, and risk prediction for post-disaster reconstruction. Based on existing theories, this paper follows the assumptions and theories of Poisson distribution in time and exponential distribution in intensity level for random earthquakes, and validates the analysis using recent years of earthquake data from Hokkaido, Japan, and recent years of local earthquake data from Sichuan respectively; After calculating the probability of occurrence of earthquakes within Sichuan, the international earthquake classification scale and Chinese national norms are combined to determine the damage caused to buildings After calculating the probability of occurrence of earthquakes in Sichuan, the minimum seismic rating and probability of occurrence were determined by combining the international seismic classification scale and the Chinese national code; Finally, the final regional loss model was fitted and applied to an earthquake in a remote area of Sichuan.
Research and Application of Several Error Correction Codes in Communication
Authors: Tao Yang
Published: July 2023

Error correction code is an important part of contemporary communication engineering, first proposed by Shannon, and has become mature nowadays. This paper analyzes and compares the error correction capabilities of BCH code, cyclic code, and Hamming code using BPSK modulation in AWGN channels. It unfolds in chronological order, introducing the popular codewords of various eras of the last century in turn. Moreover, it introduces the communication process of BPSK modulation and its addition of three codes and compares the bit error rates of the output signals of them when the input signal is a Bernoulli binary sequence. After simulation, it is found that there is a strong correlation between the number of bit errors in BPSK modulation and the code used and its length At low SNR (signal-to-noise ratio),the error rate error of using codewords or not is minimal. Most digital devices exhibit advantages when the SNR exceeds 4 dB. Under the equivalent SNR, the longer the codeword, the lower the error rate, and the best error correction ability of BCH code (31,11,5). This article only discusses the error correction ability of BPSK under modulation, laying a foundation for comparing the error correction ability of higher order PSK modulation and other code words in the future.
All-Optical Signal Processing in Ultrafast Optical Communication
Authors: Lv Shuo
Published: July 2023

Optical communication technology plays a crucial role in today's information age, as a result of the continuous advancement of social informatization. An array of nascent technologies, encompassing edge computing, the Internet of Things, big data, and artificial intelligence, have grown rapidly, leading to an increased demand for information transmission, which in turn has resulted in higher requirements for the development of optical communication technology. The emergence of ultrafast optical communication, which uses all-optical signal processing technology, has made data transmission faster and more reliable. This article introduces three basic methods for implementing all-optical signal processing (optical modulation, regeneration, and interconnection) based on all-optical and electronic signal processing. It examines the issues and difficulties that arise within particular application contexts and explores the progression of several correlated technologies in the times ahead. The field of all-optical signal processing is experiencing rapid growth and has the potential to bring revolutionary changes to various industries. Anticipated outcomes entail the attainment of ultra-long distance and ultra-high-capacity transmission, as facilitated by the ongoing advancements in hardware and all-optical signal processing technology. Meanwhile, the relentless pursuit of high-performance goals drives the continuous progress of ultrafast optical communication.
Error compensation analysis of time-grid angular displacement sensor
Authors: Wang Yibo
Published: July 2023

The time-grid angular displacement sensor is an advanced angular displacement measurement device widely used in various precision instruments, industrial control systems, and robotics, with high accuracy, fast response, strong anti-interference ability, and long life. In this paper, the sensing mechanism of the embedded time-grid angular displacement sensor is used to analyze the compensation effects of Harmonic error compensation, HHT-ELM Error Compensation, PSO-BP neural network error compensation, and Multi-step compensation effects of Harmonic error compensation, HHT-ELM Error Compensation, PSO-BP neural network error compensation, and Multi-step calibration method are analyzed and compared to find that the Multi-step calibration method has the best compensation effect but the compensation system is complex and suitable for places with high accuracy requirements. compensation, HHT-ELM error compensation, and Harmonic error compensation. and as the compensation effect decreases the compensation method also tends to be simpler.
Price analysis of used sailboats based on LightGBM model
Authors: Gao Xinyu , Zhu Jingjing , Yang Rui
Published: July 2023

The pricing of second-hand sailboats is a very important issue, because it is directly related to the investment and profits of sailboat operators. This paper mainly conducts further research on the pricing of second-hand sailboats. First, we establish a LightGBM regression mathematical model through data. Second, we identify the two regional factors with the highest correlation with price and conduct qualitative analysis on them. Then, we took Hong Kong as the research object, obtained the regional effect of its prediction results, and verified the accuracy by t-test.
The Application Status of the Third Generation of Semiconductor Materials in the FIeld of Electric Power
Authors: Zhao Wenkai
Published: July 2023

With the vigorous development of semiconductor materials, the third generation of semiconductors represented by SiC, GaN, and diamond have gradually become the mainstream materials of modern semiconductors, and this paper introduces the application of SiC, GaN, and diamond, respectively, and analyzes their existing properties. The advantages and disadvantages of each are drawn in more detail.
Design of magnetic flux leakage detection device for three dimensional small diameter pipeline based on MEMS
Authors: Luo Ziming , Zhang Zongyang , Yang Mo , Jia Xiaoli
Published: July 2023

Based on the common pipeline detection device faced with small diameter pipeline space, small turning radius is prone to the problem of stuck pipe phenomenon, this paper combined with the actual production needs, for small diameter pipeline leakage detection based on MEMS technology designed a detection device. COMSOL Multiphysics software was used to create a finite element model to simulate the magnetic flux leakage detection of pipeline defects. The influence of the type, size and location of pipeline defects on magnetic flux leakage signals was discussed. Based on MEMS triaxial magnetic force sensor, a magnetic flux leakage detection device with small volume, high precision and strong adaptive ability was designed. Through experiments, the magnetic flux leakage detection data consistent with the simulation results were obtained, which provided ideas for solving the detection problem of small-caliber pipelines.
Current Applications and Challenges of Exosome in COVID-19: A Review
Authors: Xing Zichun
Published: July 2023

The exosome is a nano-extracellular vesicle secreted by the cell, encasing proteins, nucleic acids, and lipids, among others. Its specific structural composition gives it a role in the medical field. It may act as biomarkers, vaccines and drug carriers. Since the outbreak of COVID-19, the rate of infection has increased dramatically worldwide, as it targets ACE2 in a wide range of human cells, posing a huge threat of loss to human and global health as well as the economy. Exosomes are highly investigated as a highly promising candidate when exploring prevention and treatment against COVID-19. Many experiments have been performed to demonstrate the potential of exosomes in a sufficiently well-documented manner. In this review, we summarize the potential of exosomes in the diagnosis, prevention and treatment of COVID-19, and analyze the problems, with the aim of providing valuable directions for further research on exosomes in the future.
Cell type-specific expression of the molecular players in mouse prefrontal cortex during cocaine addiction
Authors: Teng Eric
Published: July 2023

Cocaine addiction is an issue that affects more than 5 million people in America per year. Although there has been much research into the genes and chemicals responsible for cocaine addiction, there are many specific questions left unanswered. Our experiment attempts to further previous research into certain molecular players. We follow up with their use of single-cell RNA sequencing on the prefrontal cortex cells of mice undergoing cocaine intravenous self-administration.  Data of 12 samples from both saline and cocaine treated mice which are found on the Gene Expression Omnibus public database were retrieved. Using the Seurat function of RStudio, the data was merged into objects, normalized, clustered, and labeled into one of eight cell types. What resulted was a detailed UMAP plot displaying the clusters, their gene expression level, expression frequency, and their cell type. With this plot, we were able to determine the specific cell types that express the genes encoding the pre-established molecular players (∆FosB, MeCP2, and BDNF). When the analysis was expanded to a cell-type specific level, it was discovered some of these genes were selectively expressed in excitatory neurons and non-neuronal cells. Going further into the analysis, we determined the 6 genes with the most varied gene expression over the 3 stages of cocaine addiction for each of the 8 cell types. Overall, our computational analysis of publicly available transcriptome datasets from mouse addiction model provides new insights into the molecular basis of cocaine addiction.
Progress of core strength training intervention for lumbar disc herniation
Authors: Zhou Zeyu
Published: July 2023

Core strength training is a highly functional form of training, because it has excellent features like less side effects and less money, so it does not cause a lot of stress to patients both physiologically and psychologically, and nowadays it is extensively used in the intervention of lumbar disc herniation;this type of training is aimed at muscles deep in the core area of the body, core strength can increase trunk stability and reduce injury.In recent years, there have been new developments in the way core strength training is applied, a number of research has demonstrated the effectiveness of combined core strength training in the intervention of lumbar disc herniation.This paper briefly reviews the mechanism of core strength training intervention for lumbar disc herniation and the current status of core strength training in lumbar disc herniation intervention in the past five years, to provide new ideas for the use of exercise in lumbar disc herniation interventions.
Progress in the Treatment of Lumbar Disc Herniation
Authors: Zuo Dingwen
Published: July 2023

In recent years, the number of patients with lumbar disc herniation (LDH) has gradually increased and their age has gradually become younger. It seriously affects the daily life and work of patients and increases their sense of pain. At home and abroad, the treatment methods for LDH are mainly divided into two categories, Western medicine treatment and traditional Chinese medicine treatment. Western medicine treatment mainly focuses on surgery and drug treatment, and minimally invasive surgery during surgery is gradually becoming a trend, but it may cause complications, which is not conducive to the postoperative recovery of patients. Western medicine treatment can alleviate pain symptoms to a certain extent, but long-term use leads to poor patient compliance. Traditional Chinese medicine mainly includes acupuncture and moxibustion, bone setting, etc. In addition to treatment, sports and psychological therapies also play an important role in the intervention and treatment of LDH. Each method has its own advantages, and different treatment methods should be given to different patients in order to achieve the best clinical treatment effect, in order to provide better research direction for clinical scholars.
Detection and treatment of thrombotic diseases by activating platelet
Authors: Wang Leyu , Tan Jiawen
Published: July 2023

Nowadays thrombus has become one of the most prevalent diseases among the world, a large amount of population died of it. Thus, it is essential to improve the medical diagnose and treatment method to lower the morbidity as great as possible. Deep vein thrombus and artery thrombus, these two typical examples of thrombus will be given to illustrate the main methods of diagnose and treatment. In the stage of making diagnose, there are many traditional methods in medical fields like thrombelastogram, radiography, CT technology and X-rays. They are all proven medical technologies which can detect the thrombosis clearly through different principles. However, with the time goes by, Flow Cytometry, a new technology, has been developed through innumerable experiment and research. This technology is significant breakthrough in the history of blooding diagnose since it is more advanced than the classical method in many aspects. For instance, the thrombelastogram has low repeatability since it ‘s results are not always accurate; Radiography will cause risks since it will leave wounds for the patients; CT and X-rays are usually used in the phase of treatment but not in the early diagnose. Above all, it is better to combine these classical means with Flow Cytometry to make the diagnose more convenient and prevent getting thrombus as much as possible. For treatment of thrombus like Deep vein thrombus and artery thrombus, thrombolytic drugs, anticoagulant drugs, and antiplatelet drugs are mainly suggested. Other than those drugs, there are other drugs that may composed by other component are under ongoing research.
The role of astrocyte in the circadian rhythm
Authors: Zhang Lechi
Published: July 2023

The circadian system can be found in nearly all mammalian organs and cells. The maintenance of circadian rhythms is related to the health of human life. Destroying circadian rhythms has a strong correlation with the emergence of many diseases, such as neurological diseases and cardiovascular diseases. Astrocytes are the most common type of cell in the human central nervous system. In recent years, the autonomous regulatory role of astrocytes in the circadian rhythm of the SCN has received increasing attention. This article aims to briefly introduce the role of SCN astrocytes in maintaining circadian rhythm from three aspects: gene expression of astrocytes, regulation of neurotransmitters by astrocytes, and plasticity of astrocytes. At the same time, this article also reviews the relationship between astrocyte activation and circadian rhythm disorders as a neurological disease, and several drugs targeting astrocytes for the treatment of nervous system diseases related to circadian rhythm disorders were proposed to highlight the potential of targeting SCN astrocytes in the treatment of improving circadian rhythm disorders. Finally, this article summarizes current strategies, future challenges, and therapeutic prospects for astrocyte-targeted therapy to improve circadian rhythm disorders. This review aims to highlight SCN astrocytes’ effect on maintaining the circadian rhythm and their related mechanisms and provide a theoretical basis for the future proposal of targeted treatment strategies with astrocytes.
Data Analysis and Optimal Prediction Model Search based on CTG Data
Authors: Jiang Siyuan , Lian Tengyang , Wei Yuwen
Published: July 2023

This paper presents a data analysis and optimal prediction model search of fetal health based on cardiotocography (CTG) data. The objective of this study is to develop an accurate and efficient method to predict fetal health outcomes using CTG data. This paper first analyzes the dataset to identify potential predictors of fetal health and investigate their relationship with fetal distress. The result found a strong relationship between some of the variables in the dataset and fetal health. This paper then uses machine learning algorithms to build and compare several prediction models, including elastic net regression and lasso model. The result of this paper shows that a random forest model performs best in terms of AUC. The model can accurately predict fetal health outcomes with an AUC of 0.925. The finding of this paper suggests that CTG data analysis combined with machine learning algorithms can provide a useful tool for prenatal monitoring and management.
The Undefinable Links: Unraveling the Mysterious Relationships Between Viruses and the Human
Authors: Li Yuening
Published: July 2023

The world of viruses is a captivating and complex field that consistently engages scientific inquiry and exploration. This article presents intriguing aspects of viruses, including their discovery, intricate structures, and taxonomic classification. It sheds light on the ongoing battle between humans and viruses, highlighting the remarkable progress made in combating and preventing viral diseases. Furthermore, it conducts a comprehensive examination to explore the dynamic interplay between viruses and humans, revealing their pivotal role in medicine and their potential as powerful tools for genetic engineering. This study not only reveals the significant implications of viruses in biomedical science and research but also provides an overview that promotes a broader understanding of their positive aspects in addition to the negative ones.
Single-cell Sequencing Data Analysis Reveals Heterogeneity of Glioblastoma Multiforme
Authors: Chen Yihan , Li Jiayin , Chen Wenna
Published: July 2023

Glioblastoma multiforme is a highly malignant brain tumor. The complex cellular heterogeneity and classification of cell groups have been key factors affecting tumor progression and treatment response. This paper analyzed GBM sequencing data through single-cell RNA sequencing. Firstly, flitering genes and cells according to some specific thresholds. After nomalizing the gene expression matrix, some high-variance genes were selected, and then this paper applied principle component analysis to reduce the dimensions of genes. To identify the cell types, this paper implemented louvain clustering to get 16 clusters, followed by cell annotation. Meanwhile, marker genes were used to find functional pathways and here some conclusions were made about brain cancer research.
Preface: 2023 International Conference on Nano Sciences, Chemical and Biological Materials (NSCBM 2023)
Authors: Huggins Jesse , Mei Junjie
Published: July 2023

The 2023 International Conference on Nano Sciences, Chemical and Biological Materials (NSCBM 2023) is an international symposium on nano sciences, nano materials, chemical engineering, and biological materials, which was resoundingly held at Chongqing, China during March 25-26, 2023. This conference is an opportunity to academics, scientists, engineers, researchers, manufacturers, and users to discuss, to present and to assess the results of their research work on recent developments in these fields, and to promote intercommunion and international collaboration between participants in related fields.

NSCBM 2023 program had included several keynote plenary lectures by distinguished scientists in different areas covered by the main theme of the conference, to provide thematic presentations of their most recent findings.

The main objective of NSCBM 2023 was to attract educators, postgraduate students, teachers, researchers, and policy makers working in related fields. Delegates from schools, colleges, universities, and governments from all parts of the world participated in the conference. The conference enabled participants to share and exchange scientific information views and experiences on important issues.

The NSCBM Organizing Committees

Chongqing, China
Non-Invasive Wearable Sweat and Tear-Based Biosensors for Continuous Health Monitoring
Authors: Wu Chenyu
Published: July 2023

Over the years, the continuous advancements within the wearable biosensor field have raised public awareness in exploring new strategies for people's personalized point-of-care testing. Biosensors are multifunctional devices that allow people to quantify a range of biological signals through highly sensitive and small-scale sensing platforms, thus providing users convenience when limiting the need for clinical check-ups and laboratory diagnosis. Via dynamic, non-invasive evaluation of biomarkers in bodily fluids, biosensors are able to provide users with a nearly instant numerical result of the targeted biomarker's level (e.g., glucose, chloride) within their body. Here, this paper mainly focuses on exploring the wide range of sweat and tear-based biosensors' applications and methods to some extent. New generations of sweat-based wearable biosensors have been developed to better monitor one's health status by introducing techniques such as microfluidic sweat collection and Iontophoresis sweat induction methods. Additionally, much investment and effort have been put into developing tear-based wearable biosensors. For example, contact lens-based sensors are the most commonly adopted method for tear analysis, providing a minimally invasive detection of biomarkers.
Brief Description and Application of Microneedle Biosensors
Authors: Li Yulin
Published: July 2023

In recent years, tremendous advances have been made in microneedle (MN)-based biosensors. MN biosensors have been used as devices for developing non-invasive, continuous monitoring of patient health status due to their painless, non-blood contact characteristics. The development of biosensors based on an integrated microneedle platform for the detection of biomarkers in interstitial fluid is covered in this article. The combination of microneedle platforms with biosensors continues to create new opportunities for non-invasive detection and ongoing monitoring. The classification of MN microneedles and multiple MN biosensors for identifying various bodily fluid components, such as blood glucose, antibiotics, lactate, etc., are presented in this study. It reviews this next generation MN integrated circuit platform and explains the various directions of current MN integrated circuit platform development. These have been combined with electrochemical biosensor integration for quantitative detection of various metabolites, electrolytes, and other substances known to be present in interdermal tissue fluids. Furthermore, this paper explores some of the major issues and potential solutions for this new MN sensing technology.
Sleep Posture Optimization based on Artificial Intelligence
Authors: Chen Zhennan
Published: July 2023

The wrong sleep posture is a common problem in the sleep process, and the sleep quality will also be greatly affected. There are two main ways to improve sleep posture. One is to control by force through one's own willpower, and the other is to change by artificial intelligence, that is, by means of external force. The first method requires a strong sense of autonomy to control in the process of self-control. It is not worth spending a lot of extra energy to invest. So this paper introduces a new method. By adding artificial intelligence application experiments to sleep facilities, it can alleviate the anxiety of people who work hard every day to a certain extent, so that they can devote themselves to the work of the new day with full spirit.