bluuebunny/crossref_metadata_2025 huggingface dataset:
DESIGN AND DEVELOPMENT OF DOLUTEGRAVIR SODIUM CO-CRYSTALS LOADED ORODISPERSIBLE TABLET WITH IMPROVED DISSOLUTION BEHAVIOUR
Authors:   Department of Pharmaceutics, Faculty of Pharmacy, Ganpat University, Mahesana-384 012, Gujarat, India, B. Rodriques Paul , G. Prajapati Bhupendra
Published: April 2023

The current research work was aimed at improving the solubility of dolutegravir sodium (BCS class II) by utilizing the approach of co-crystallization and formulating orodispersible tablets of chosen cocrystals to maximize the therapeutic use of dolutegravir sodium. Co-crystals were prepared by the solvent evaporation method. Thus prepared co-crystals were subjected to solubility analysis, melting point determination, FTIR, DSC and PXRD analysis. Co-crystals prepared using various co-formers showed an increment in solubility. Dolutegravir sodium - maltitol co-crystals demonstrated four times higher solubility than the primary drug, which is profound among all the co-crystals. Co-crystal formation has been confirmed by FTIR, DSC and PXRD studies. All the parameters of the orodispersible tablet were found to be within the acceptable range. The optimized formulation of the co-crystals has shown profound drug release compared with the pure drug formulation. The optimized formulation was stable for six months of storage.
Design workshop "Alternative C.V.: what should it look like?"
Authors: Hartgerink Chris , Rutten Daan
Published: April 2023

These are our design workshop slides for the Recognition & Rewards festival, to be held in Utrecht on 2023.04.13. This in-person design workshop aims to brainstorm elements for a research CV (existing or future) and then create rough sketches for each element in groups. Finally, participants bring together these different elements into different alternative CVs, which can serve as the basis for mock-ups to be utilized in the future.
Emotional and relational regulation of children and youth in residential care
Authors: Gameiro Fátima Cristina da Silva Ribeiro , Ferreira Paula Isabel Marques , Rosa Beatriz Alice Leal da Silva Alves , Pedro Ana Margarida Lopes
Published: April 2023

Family relationships have been shown to play an important role in the way children/youth evaluate themselves, influencing their emotional and relational regulation, more specifically, their self-concept, self-esteem, perception of social support and behavior. In order to compare the adjustment of children/youth living in residential care and in family, 169 children/youth aged between 10 and 21 years were studied, 62 living in residential care units and 107 with their families, 93 females and 76 males. The Piers-Harris Self-concept Rating Scale, Rosenberg Self-esteem Scale, Procidano and Heller's Perception of Social Support from Friends and Family and Buss and Perry's Aggressiveness Questionnaire were applied via google forms and in person. The results showed that children and youngsters in residential care show statistically significant differences from those who live with their families in all the parameters analyzed. They are more fragile in terms of self-concept (except for the anxiety domain) and self-esteem, show a lower perception of social support from peers and family, and show a higher perception of aggressiveness, both in general and in the instrumental, affective and cognitive dimensions. We conclude that all participants showed weaknesses in terms of anxiety management, and that institutionalized children/youth were more psychologically and relationally maladjusted and more aggressive, thus demonstrating the urgency for a multidisciplinary intervention in this population, by promoting personal and relational skills.
Perché Configurazioni
Authors: Borio Maria , Cardilli Lorenzo , Ghidinelli Stefano , Giovannetti Paolo , Giovannuzzi Stefano , Stroppa Sabrina
Published: April 2023

Il comitato direttivo di Configurazioni. Ricerche sulla poesia contemporanea spiega le linee guida e le direzioni di ricerca che caratterizzano la rivista.
Il macrotesto formulare. Appunti sul Conoscente di Umberto Fiori
Authors: Portesine Chiara
Published: April 2023

L’articolo si concentrerà prevalentemente sul Conoscente, l’ultima raccolta di poesie pubblicata da Umberto Fiori nel 2019. Attraverso e oltre la facies tematica e linguistica del volume, l’orizzonte su cui si focalizzerà l’indagine non riguarderà esclusivamente gli aspetti poetici, ma soprattutto i motivi e le iterazioni che ricorrono nel macrotesto.
Apofasi e presenza in No di Umberto Fiori
Authors: Cardilli Lorenzo
Published: April 2023

Il presente articolo propone un’analisi del poemetto No, incluso nella raccolta poetica La bella vista di Umberto Fiori. Il poemetto esemplifica alcune costanti della scrittura di Fiori, come la dominante visiva, il fuoco sul dettaglio e la riflessione filosofica. Inizialmente, analizzo le caratteristiche enunciative di No, basate su un’apostrofe alle cose, struttura tipica del genere lirico secondo Culler. Successivamente, applico alcuni strumenti recenti tratti dalla Stylistics inglese – gli attractors di Peter Stockwell e i rilievi di Joanna Gavins sulla poesia apofatica – per riflettere sullo stile del poemetto e sulle sue peculiarità concettuali.
INNOVACIÓN DISRUPTIVA DE LAS ORGANIZACIONES EN TIEMPOS DE COVID-19
Authors: Castellanos Rivero Paris Anaid , Escott MotaG María del Pilar
Published: April 2023

La innovación disruptiva, como una de las terminologías comerciales más influyentes en las últimas décadas, existe ampliamente en la práctica laboral impulsada por la actual pandemia y es una herramienta importante para el desarrollo empresarial, comercial y el desarrollo de nuevos mercados. En este sentido el presente artículo muestra los resultados de una investigación con respecto a ¿cómo la innovación disruptiva en las organizaciones impactó en la actual crisis sanitaria por el covid-19? Para dar respuesta a la pregunta de investigación se utiliza el metanálisis, teniendo como objetivo identificar qué declaraciones de valor generalizables sobre la innovación disruptiva de las organizaciones en tiempos de covid-19 fueron respaldadas por la mayoría de los metanálisis.

Los hallazgos muestran que la pandemia del covd-19, por primera vez, ha elevado la importancia de la dimensión física de trabajo, le necesidad de modificar los procesos digitales para poder realizar trabajo a distancia, mejor y más eficiente; y ha visibilizado la necesidad de innovar en los procesos tecnológicos
Differences in Self-perceiving Emotions: The Role of Gender
Authors: Wang Zixuan
Published: April 2023

This paper focuses on how anger and sadness are self-perceived differently in males or females under the same situation. The importance of the current study is to examine the two most important negative emotions among women and men which are sadness and anger. In this study, one sad video and one infuriating video will be used as emotional triggers to evoke participants' emotions. After watching the videos, participants will be asked to rate five abstract images corresponding to one question about each emotion: sadness, fear, happiness, tranquility, and anger. We will only analyze the rating of sadness and anger, all other four questions of emotion are only to mask our real purpose. The result of this study will show that males tend to experience more anger than females do under infuriating situations, while females tend to experience more sadness than males do under sad situations.
Social Dialogue and Its Role in Germany Vocational Education and Training
Authors: Ding Tianlu
Published: April 2023

This paper takes Germany as a case study, examining the role and development of social dialogue in Germany's vocational education system. Considering the extensiveness of the German VET system, the central question is how social dialogue can play its role to promote vocational training and development in various sectors. The paper analyzes the role of social dialogue at the national and company level and concludes that social dialogue actively contributes to the development of VET in Germany and ensures the rights of apprentices and employers in terms of legislation, financial, and qualification levels. In addition, the paper also identifies the social dialogues responses to challenges faced by VET in Germany, i.e., facility and operational problems due to the rapid development of digital technology and the integration of vocational education into higher education.
A Framing Analysis of the Stigma on Chinese Internet towards Feminism: A Case Study on "Yang Li Incident" on Weibo
Authors: Liu Jiaxun
Published: April 2023

With the increasing number and development of social media platforms, more and more women begin to express their voices on these platforms. The voices on the internet are gradually considered to stir up confrontation between men and women. These voices have also becoming the evidence of view that "feminism attacking all male people". However, there is a lot of people are gaining advantage in the chaotic situation, or some of the events should not have risen to the issue of male-female confrontation or the "feminist" agenda. The orginal standpoint of "feminism" is for women to pursue equality, so that women can participate in social life equally and change the male hegemony, which is the embodiment of emancipating the mind. However, on social media, "feminism" has been once stigmatized as female terrorism. Therefore, this paper took the popular search text with the entry "Yang Li" on Weibo as an example to deconstruct how the confrontation framed and anti-framed Yang li and feminism. Based on the deconstuction, the paper concluded how the "feminism" on Weibo is stigmatized and what might the "feminism" do on the Internet in China.
Chinese Empire Forced to Evolve the Economic System to Resist the Nomadic Empire--Case: Establishment of the Tea Tax System in the Tang Dynasty
Authors: Zhuo Zijie
Published: April 2023

The rivalry between nomadic armies and the Chinese empire in the Far East never ceased. In order to be able to counter the threat from nomadic armies, the Chinese court poured huge funds into military organizations, which caused tremendous financial pressure on the state. Thus, obtaining more taxes or wealth through new means and ensuring that the overwhelmed people did not overthrow the dynasty became the problem to be solved by successive Chinese dynasties. This paper mainly discusses the tea tax system invented by the Tang Dynasty in the face of the pressure from the nomadic armies of the Anshi Rebellion, the tea monopoly trade method, and the benefits to the court brought by the tea and horse trade. The pressure from the nomadic armies kept the Chinese court from becoming arrogant and letting down its guard, forcing it to invent new institutions to evolve its system constantly. However, as wars became more frequent, taxes became heavier, the economic system collapsed and organized uprisings against the central government. The Tang empire failed to maintain its economic system in the later time and finally collapsed in chaos.
The impact of COVID-19 on the standard of living of Chinese food delivery workers in the gig economy1
Authors: Chen Zien
Published: April 2023

When the Chinese economy stopped amid the coronavirus pandemic, more than 6 million food delivery workers helped to distribute medicine, daily supplies, and meals becoming the crucial link between individual households and society. In light of the positive media attention and the heightened importance of food delivery workers, the researc her wondered if their living standards have actually been improved during COVID-19. Surveying 227 workers and interviewing 11 workers, the author conducted research on the impact of the pandemic on their compensation, ratings, social status and customer respect. After analyzing both the interview and survey data. This study found that although workers experienced a moderate improvement in their ratings, social status and customer respect, they also suffered a drastic income loss during the pandemic. Furthermore, this research found that the reasons behind those changes were mainly temporary and unique features of the pandemic. As the pandemic failed to make lasting systemic improvements in Chinese food delivery workers living standards, further research is needed to address their daily challenges.
Research on Apples Motivational Behavior for Knowledge Workers
Authors: Zhang Zitong
Published: April 2023

With the progress of society, the factors that affect the development and management of enterprises are also more diversified. Among them, the incentive mechanism for employees is a necessary factor to promote the development of enterprises; and knowledge-based employees, as products of the information age, are an important force to promote enterprises. This paper takes Apple as a case study to study the incentive mechanism of knowledge workers. Based on the definitions of motivational behavior and knowledge workers, the article looks for the application of motivational theories in organizational behavior such as Maslows Hierarchical Theory of Needs in Apple. By analyzing the research on the incentive mechanism of knowledge workers, it is found that Apple is more controversial in the two aspects of internal incentives and salary fairness for knowledge workers. Therefore, this article concludes based on the research results: Two-factor theory and fairness theory are what Apple needs to pay special attention to and use when conducting incentive behaviors. The significance of this research is to analyze the motivational behavior of the enterprise, improve it with the theory of organizational behavior, and practice it in the future enterprise management, so that the strengths of knowledge workers can promote the growth of the enterprise.
Research on Relationship between CPTPP Participation and Japan Agricultural Product Import
Authors: Zhang Gengyuan
Published: April 2023

As the leader of Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP), which cuts off majority of tariff for participating countries, action of Japan has been followed with interest, especially in its traditional protecting industries, agricultural business. This paper estimates the relationship between the cyclical component of monthly total import value on agricultural product during 2011-2021 and the participation of CPTPP. It shows that there exist significant before and since distinction, which could be explained in 4 perspectives: inaccurate fitting method, existence of omitted bias, existence of multiple collinearities, and the step-by-step elimination on tariffs.
Comparative Analysis of Interfering Factors of Stock Price Return between Hong Kong and US
Authors: Lyu Jiongyi , Wang Hao , Hu Yueyang , Xu Zhijing
Published: April 2023

Affected by the outbreak of the COVID-19, the factors affecting equity yields will become changed. This paper aims to analyze the financial information that affects stock returns in the HK market versus the US market from four perspectives-market capitalization, yield rates, correlation of major indices and liquidity. Multiple linear regressions were conducted separately for HK and US stocks and used factor analysis as a supplementary part to further explain these two markets. We show experimentally that the US stock market outperforms the HK stock market in terms of the explanatory degree of model. The solvency indicators are a class of common indicator that affects the expected rate of return in HK and US market.
Have Medical and Political Countermeasures Mitigated Investor Fears during the COVID-19 Pandemic?
Authors: Leonida Leone , Zhang Shunshun
Published: April 2023

Yes. We contrast the impacts of COVID-19 shocks and medical and political countermeasures in an otherwise standard model of financial market return determinants. During the pandemic, fears about COVID-19 can replace the economic sentiment to have a lasting negative impact on the stock market, especially in the first wave of the virus spreading. Medical research and government policies contribute to the stimulations of financial markets; however, efficient vaccines, when not developed, tend to negatively impact future stock returns and exacerbate the negative influence of COVID-19 sentiment on the stock market. Instead, such situations can be eased once medical research becomes advanced, helping the reconstruction of investor confidence. Public attention to the political support promoting economic and financial recovery has a positive impact on stock market returns and mitigates the shock of COVID-19 sentiment on the stock market.
The Influence of Several Factors on the Sales of New Energy Vehicles in China and the United States During the Covid-19
Authors: Huang Kaidi , Zhang Jingwen , Li Yueyi
Published: April 2023

Covid-19 has hit various industries around over the world, including the automotive industry in different countries. The high unemployment rate and declining consumer spending due to travel restrictions such as stay-at-home orders related to the epidemic have led to a plunge in auto sale the United States, China and rest of the countries over the past two years. Under this circumstance, governments have increased subsidies for new energy vehicles as a grip to boost the economies, which means the global automotive sales remains a relatively high grow rate during the epidemic. Therefore, new energy vehicle policies as well as sales in different countries, especially in the United States and China, continue to maintain a stimulating pace. To better understand the future sales trends of new energy vehicles, and promote the transformation and upgrading of the automotive industry, the aim of the present study is to investigate the impact of policy, marketing, and supply chain on the sales of new energy vehicles, and to discuss the challenges, opportunities faced by the new energy vehicle industry in China and the United States. After collecting and integrating information from various sources, the data indicate that although the epidemic has had a significant impact on different industries, new energy vehicle industry will continue to benefit fully in the medium to long term in the industry chain of the times. The automotive industry in China and the United States is gradually recovering, but China's pace of progress may be relatively faster.
Does Gamified Marketing Work on Customer Loyalty?
Authors: Deng Yumeng , Li Yinfei , Wang Jimin , Shi Yunzhe
Published: April 2023

This paper investigates and analyses the current gamified marketing industry from three aspects: industry development, typical companies and future customer groups. The data is obtained from online data and original surveys, both quantitative and qualitative analysis are used, and the DMC model is applied to analyses the data. This paper summarizes the current development status of the industry and puts forward the view that the industry has a large development space and good development prospects. It also analyses the customer loyalty of Duolingo, a representative company in the industry. Finally, an online questionnaire survey was conducted on consumers of gamified marketing, and ways to attract more consumers to online credit services were proposed.
Application of Markowitz Model Equipped with Transaction Cost and Turnover Rate in Chinese Stock Market
Authors: Yang Yuting
Published: April 2023

Because of the development of Chinese stock market in recent years, more and more investors have entered the market. The classic Markowitz model can provide investors with investment methods that have shortcomings in practical application. Therefore, the classic model is modified to add transaction costs and turnover rate limits suitable for the Chinese market. This paper aims to study the influence of the restriction on the model before and after the application of the model comparison results. The restriction can push the predicted result from time point to time period, and can be adjusted according to the actual situation.
An Assessment of Corporate Social Responsibility, Customer Satisfaction and Customer Trustworthiness: Does Corporate Image matter for the Chinese Economy?
Authors: Hafeez Muhammad , Jahangir Junaid , Ghafoor Abdul , Shahzad Khuram
Published: April 2023

In light of the increased universal interest in corporate social responsibility (CSR), this article investigates how CSR characteristics impact customers satisfaction (CS) and customers loyalty (CT), as well as whether the corporate image (CI) has a moderating influence on the links among CSR and customer satisfaction (CS) and customer trustworthiness (CT). Consumers in impoverished and affluent economies may have distinct prospects for CSR. Structural equation modelling (SEM) is used for hypothesis testing in this study. According to findings, this study suggested that CSR has a substantial positive impact on CS and CT and that CS has a positive impact on CT. Consumer protection (CP), ethical responsibility (ETR), philanthropic responsibility (PR), green economic responsibility (ECR), and environmental contribution (EC) are conscripted in order of significance. Corporate Image (CI) has a significant moderating effect on the association between CSR and CS. Thus, authorities should execute CSR features from the consumer's perspective, which will persuade customers to be concerned with the businesses sympathetically. The assumption makes commendations for potential future study and marketing practice.
How Do Organisations Adapt Their Marketing Mix in Response to Crises to Navigate Them Successfully?
Authors: Lin Jiacheng , Wang Xueguan , Zhu Yunchengcheng , Zheng Zaixing
Published: April 2023

The break out of COVID-19 pandemic has caused a violent strike to many enterprises, in such an emergency time, business owners are getting antsy to find ways and even new business models to survive. This article provides a perspective for managers that shows how the current Covid-19 has had a severe impact on global businesses, explains how excellent companies effectively adapt and navigate the marketing mix variables (7Ps), and integrates the fragmented strategy literature.
A Model for Quantifying Investment Decision-making Using Deep Reinforcement Learning (PPO Algorithm)
Authors: Xiao Xiaochen , Chen Weifeng
Published: April 2023

Bitcoin has nowadays shown its importance in finance systems. With great interest to all kinds of investors in the financial sector, it is important to analyse the relationship between Bitcoin and gold. We consider bitcoin and gold as two stocks and calculate the correlation between bitcoin and gold. By introducing the calculation of dynamic penalty coefficient, the problem of dual-stock portfolio investment is transformed into the problem of single-stock purchase investment, which greatly reduces the difficulty of feature engineering and model application. In terms of decision-making model, deep reinforcement learning (PPO algorithm) is used to make quantitative investment decisions. Therefore, we use the expected data in SLTM as the input data of deep reinforcement learning, and combine it with deep reinforcement learning for training. Compared with machine learning to quantify investment decisions, after a period of training, the accuracy rate has improved by 10.038%.
Evaluation of US and China's post-pandemic recovery
Authors: Fang Yuchen , Ding Sidan , Zhou Chang , Ding Ao
Published: April 2023

We focus on the relationship between inflation and unemployment in the United States and China, the two biggest economic systems in the world before and after the COVID-19 pandemic. We used a comprehensive monthly dataset of two countries Consumer Price Index (CPI), unemployment rate, and interest rate from 2019 to 2022 and performed time series regressions to analyze the relations among these variables. We found strikingly different paths for the two countries, with the US path closely matching conventional economic theory, while Chinas deviated significantly.
Reliability Analysis of Tree Topology based on Chinese Banking System
Authors: Feng Shuai
Published: April 2023

A tree topology is a special type of structure in which many connected elements are arranged like branches of a tree, and is often used to organize computers in a company's network, or information in a database. Tree topologies and Chinese banking system are both a highly centered and hierarchical structure, sharing a wide range of analogies. This article mainly studies the market value, under the circumstances of crossholdings, of individual banks in a banking system, as well as the reliability of the banks at different tiers of the supply chain. This paper analyzes how the network propagates the reliability discontinuities caused by faults. A tree topology model is exploited to facilitate the interpretation. In this model, each node has two branches and at each tier of the supply chain there is one leaf node that does not expand further. There are cross holdings within the same tier but not between adjacent tiers. This paper finds out the relationship of ones reliability with the respective position in the financial network. Two variables are taken into consideration: the multisourcing number as well as the complexity amounting to the level in which it is.In a nutshell, the bigger the multisourcing number is, the greater the reliability is. Also, the higher it is in the financial network, the greater the reliability is. In addition, the endogenous configuration of supply network provides a new method for the study of China's banking system.
Research on the Estee Lauder market positioning based on online shopping applications Taobao and WeChat
Authors: Wang Yiran
Published: April 2023

With the proliferation of digital tools, shopping applications and social media occupy a large quantum proportion of peoples daily life. The marketing strategies are being changed and widened through this trend and require more focus on shopping applications. Taobao and WeChat are the top familiar and widespread applications necessary for Estee Lauder to focus on. This study utilizes the survey method, the comparative method, to clarify the strategies that can work for accurate brand positioning and pinpoint their drawbacks. The study discovered the customers experiences, including the various appearance on the Taobao website and surveys provided in the WeChat mini program. This study suggests that Estee Lauder should cancel the live streaming on Taobaos first page, add notices of WeChat services on Taobao as a reminder, change the color of the WeChat mini program, and be consistent with that of Taobao. This research concludes on the strengths and weaknesses of two applications and provides suggestions based on customers feedback.
The Strategy Analysis of Coca-Cola
Authors: Li Xiaowei
Published: April 2023

The beverage industry shows fierce internal competition, which is aggravated by the significant impact on COVID-19 on the economy. Coca-Cola as one of the leader of multinational beverage companies, its strategy has certain reference values. This paper will start with Porter's Five Forces Model, SWOT analysis and value chain analysis to determine the overall strategy of Coca-Cola. Next, by comparing the financial report information in recent 3-5 years, this paper summarizes the adjustment of company strategy, analysis and processes financial data, and then proves the effect of Coca-Cola's operation and marketing strategy. Finally, make a prediction of the subsequent strategic application and enterprise development trend. It can be affirmed that Coca-Colas good profitability and market status are inseparable from its strategy. Hope this paper could provide reference and inspiration for the development of companies in the same industry.
Analysis of factors affecting fertility rate in China
Authors: Chen Han , Jiang Jinfeng , Wang Yaoyu , Zhang Zihan
Published: April 2023

Fertility is an important factor that determines the trend of population development in China. In recent decades, Chinas fertility rate is declining. Nevertheless, the formation mechanism and influence behind it are still lack of unified explanation. Hence, this article researches and analyzes the reasons of the decrease of Chinas fertility rate through factor analysis and cluster analysis based on the data collected in the past two decades since 2002. On the basis of this article, the per capita disposable income of residents, the crude divorce rate, the number of divorce registrations, the urban population ratio, and the high school enrollment rate have a prominent relevance with the fertility rate. In addition, the fertility rate alters in the past 20 years in this paper can be divided into three categories: the fertility rate was relatively stable from 2002 to 2011, the fertility rate increased significantly and fluctuated slightly from 2012 to 2015, and the fertility rate decreased rapidly from 2016 to 2021. If the government hopes to maintain a high birth rate, it can achieve this by easing the birth policy and improving the divorce calm down period system.
Influence of Objective Factors on House Prices
Authors: Lyu Lyuyangguang , Song Xinyu
Published: April 2023

With the development of economy and the improvement of people's living standards, many people will try to buy houses. But when it comes to buying a house, people will also pay attention to some objective factors such as the size of the house and supporting facilities. This paper uses the statistical analysis software SPSS linear regression analysis, factor analysis, comparative analysis and other methods to analyze the impact of objective factors on house prices, through data analysis, the fitting degree also reached about 0.88. In the experimental results, it is found that taxi distance, market distance, hospital distance, carpet area, built up area, parking type, city type, rainfall have a significant impact on house prices. Because in real life, These objective factors will be considered when people choose to buy a house.
Research on Crocs's Marketing Strategy
Authors: Zhang Xinxin
Published: April 2023

In an effort to meet the rising demand, Crocs began experiencing inventory issues and retail oversaturation in 2008. At the same time, it broadened its product line by incorporating golf and trendier models.This paper analyzes the effectiveness of Crocs' marketing strategy through secondary research, which will research the information online. Most of the data will come from articles and annual reports from Crocs. This study collected all relevant data, discussed the findings, dealt with strategies and cases, and concluded that Crocs used different strategies to entice customers to purchase products. According to the research, it can be concluded that raise of customer loyalty and market segment is the effective marketing strategy of Crocs, and from the references it has increased the sales.
Can Carbon Emission Trading Policy Improve the Emission Performance? Evidence From China
Authors: Xue Yanwen
Published: April 2023

The carbon emission trading system (ETS) has become one of the most crucial environmental regulations for emission mitigation and energy conservation in China. This thesis uses the difference-in-difference (DID) model to analyze the causal influence of China's ETS on carbon emission performance. The results show that the implementation of the ETS is an effective way to mitigate carbon intensity and total carbon dioxide emissions (12%), thus promoting carbon emission reductions. In contrast, economic development, energy intensity and population size hindered the carbon reduction process, while industrial structure had no significant impact on carbon reduction. Further PSM-DID models confirmed the reliability of the above conclusions. Based on these conclusions, this study provides inspiration and suggestions for the implementation of the nationwide ETS in the new stage of environmental governance.
Is Bitcoin the 'Digit Gold'A Potential Safe-haven Asset?
Authors: Guan Shupeng , Jiang Han , Zhou Muyang , Liu Jianuo
Published: April 2023

In this paper, we examine whether bitcoin has the potential to become safe-haven asset that can rival gold in the future. We observed, compared and analyzed and the performance of bitcoin and gold in face of a falling market and inflation pressure. We can see if investors can rely on bitcoin to reduce risk exposure significantly through empirical tests. At the end of our research, we found that bitcoin did not perform as well as gold did when faced with market crash and inflation. Therefore, we conclude that bitcoin does not yet show the potential to possess risk-proof merits as gold, the traditional high-quality hedge asset. Gold would probably remain the preferred hedge asset against cryptocurrency for now.
The Impact of Changes in Crude Oil price on the Yield and Volatility of Manufacturing: Evidence from the US and China
Authors: Zhang Yijia
Published: April 2023

This study is based on the data of WTI international futures crude oil price, China manufacturing Index and the United States Dow Jones Manufacturing Index from November 23, 2021 to June 16, 2022. This paper uses VAR and ARMA-GARCH models to analyze the changes in yield and volatility of manufacturing in the US and China. The results show that the change of crude oil price under the situation of Russia-Ukraine conflict has a negative effect on the return rate of manufacturing industry in China and the United States, but the impact on the return rate of manufacturing industry in China is greater than that of Dow Jones, and the impact on the return rate of manufacturing industry in the United States will gradually disappear as time goes by. In order to reduce the adverse impact of oil price fluctuations on manufacturing industry, this study puts forward some suggestions, such as adopting diversified ways of oil import and export trade and actively developing and utilizing other energy sources.
Analysis of Teslas Advertising and Marketing Strategy
Authors: Kong Lingfu
Published: April 2023

Recently, Tesla has become the most popular product, which is a new type of electric car. And the ultimate reason for winning people's attention is his propaganda method - advertising. Tesla's high-quality advertising also answers why Tesla's product was able to succeed. Therefore, this paper explores Tesla's marketing strategy, through Tesla's advertising. It can be concluded that setting multiple target audiences and implementing policies one by one are the main strategies of Tesla.
Research on the Impact of Establishment of Chinas FTA on Regional Economic Development
Authors: Chen Yiou
Published: April 2023

With the gradual improvement of the epidemic, the development of FTAs is very promising, so relying on FTAs to achieve local and regional economic growth is a very interesting way of economic growth. At the same time, because most of the literature studying the development of FTAs focus on institutional innovation and the countrys overall economic growth, the countrys economic development process can also be characterized by a widening gap between rich and poor and serious and serious polarization. However, in the development process of a coun-try, if only the overall economic development is considered and the regional eco-nomic growth is neglected, then the national economy might face the problems such as the growing gap between rich and poor and the increasing polarization. Therefore, this paper wants to study the relationship between the development of FTAs and regional economic development. Using survey method and case study, this paper firstly presents the problems of the current situation of FTAs and the limitations of institutional innovation for the article. Then this paper solves the re-lated doubts by studying enterprises innovative products and innovative trade strategies in five FTAs, concluding that enterprise innovation is the focus of FTA development.
Portfolio Optimization for Five Influencing Companies of Technology Industry in the Hong Kong Stock Market
Authors: Deng Daming , Zheng Jingtian
Published: April 2023

Nowadays, as a such big number of countries pay more attention to the scientific research strength, The importance of high and new technology is more and more recognized, the proportion in the securities market is increasing, technology stocks in the eyes of investors. This paper selects 5 Chinese technology growth stocks in Hang Seng Index as the research object and establish the dataset which contains the monthly time series of price in Hang Seng index. Fama experiment is used to well diversify the idiosyncratic risk and make sure that the portfolio is affected by the system risk. Through the mean-standard deviation plot, it can check the independence of the data we collect and check the normality. The portfolio can be divided into two situations: one includes risk-free assets and non risk-free assets. Finally, the performances of the portfolios are accessed including return volatility and weight of assets. The results show that, first, based on the Fama experiment, at least 5 stocks must be chosen to deal with idiosyncratic risk. Second, according to the mean-standard deviation plot,all the assets data are i.i.d. Third, the result show that both maximum return portfolios have the high return, and the portfolio contains risk-free assets is higher than portfolios without risk-free assets in the maximum return portfolio, but lower in the maximum Sharpe ratio portfolio. The findings may be useful to stimulate investors pay attention to invest in the technology stocks and create efficient portfolio. Meanwhile, this paper can suggest people how to rationally allocate stocks from multiple dimensions, build an effective combination, and try to obtain higher returns as far as possible in the condition of low risk.
Improving Consumers Purchase Intention through Establishing Brand Story- The Moderating Role of Consumer Perceived Functional Value
Authors: Zhang Zixi
Published: April 2023

How to expand market share and improve consumers willingness to buy products through effective marketing methods is perplexing the companies in luxury industry since most of them are confronted with tremendous competitive pressure. As a new marketing method in recent years, brand stories are incorporated into marketing strategies by a large number of companies. On this basis, this paper adopts the Stimuli-Organism-Response theoretical model, consumer behavior theory and attribute theory, and investigates whether brand story can promote consumers' purchase intention. Furthermore, it also explores the mediating role of consumers' brand identity and the moderating role of consumers' perceived value. Through empirical analysis, the results show that:(1) brand stories can improve consumers' purchase intention; (2) Brand stories promote consumers' purchase intention by improving their sense of personal brand identity; (3) Customers' perceived functional value play can moderate the influence of brand stories on improving consumers' purchase intention. Based on the empirical analysis results, this paper proposes that the luxury industry should focus on the role of brand stories in marketing, and pay attention to the value that products can bring to consumers. In addition, theoretical and practical significance are also further discussed in this paper.
Study on the Growth Potential of Beijing's Service Trade Export
Authors: Liu Guiliang , Shi Yujie , Wang Beibei
Published: April 2023

In 2020, the comprehensive pilot project of expanding the opening-up of Beijing's service industry has entered a new stage of comprehensive upgrading. It is of great practical significance to study the growth potential source of Beijing's service trade export. Based on the data of 2012-2018 Beijing service export volume and the national service export volume of 2012-2018, this paper uses the Dynamic shift - share model to analyze the dynamic evolution of the export structure and competitiveness of Beijing service trade. The study shows that the overall growth rate of Beijing's service export lags behind the national standard level. All the traditional service export departments have competitive disadvantages and their competitiveness is declining year by year. Among the modern service export departments, financial and insurance service exports have gradually shown competitive advantages since Beijing became the comprehensive pilot to expand the opening up of the service industry in 2015, but other modern service export departments still face the problem of insufficient competitiveness. According to the study, Beijing should promote the digital transformation and upgrading of the traditional service export sector, steadily promote the development of financial service trade, and enhance its professional export capacity.
The Relationship of Gender Differences to Economic Development Worldwide
Authors: Lan Xin
Published: April 2023

This paper examined the changing participation rates of women in the Olympics across several decades. We investigated the relationship between equity in participation rates with economic development. A regression analysis predicting GDP based on female participation rates showed that an increase of 1% in female participation rates was associated with an $11.93 billion increase in GDP. We also examined the career persistence of male and female athletes. In 75% of countries, women have longer Olympic careers than men. We also compared the persistence of men and the persistence of women after males or females win a gold medal.
Integrated Knowledge Distillation for Efficient One-stage Object Detection Network
Authors: Cheng Zixu
Published: April 2023

Due to the low latency requirements in object detection, numbers of one-stage methods like YOLO and SSD adopt a shared head for both classification and localisation tasks. While the decoupled head used to decouple the subtasks into different heads are getting more popular in one-stage detection because they improve accuracy. In contrast, the computational complexity caused by the decoupled head cant be ignored. To solve these problems, we propose an integrated knowledge distillation framework for transferring the representation ability of the decoupled head to the original coupled head and contributing to efficient one-stage object detection. It solves the problem that the coupled head is insufficient in handling the conflict of subtasks and avoids the time delay introduced by the coupling head and the increase of network parameters.
On the Dissemination of Negative Public Opinions on a Certain Stage
Authors: Liu Sizhe
Published: April 2023

In the previous study we have already known that SIR model can be used to deal with the public opinion problem. On the basis of this, in this paper we proposed a new model which can describe the dissemination of the public opinion, especially the negative ones more precisely and efficiently. We separate people into 4 parts to describe their different state when received the information and use method of dynamic system to find out the final state of the system. From this study, we give a explanation about the phenomenon that public opinions always disappear.
A Polynomial Linear Prediction Model for Housing Price in the USA
Authors: He Yuyao
Published: April 2023

The purpose of this research was to build a linear model for predicting the price of houses. The price of the house could be approximated without knowing the price of every house. In the process of the experiment, the data from real estate markets would be analyzed for the supervised study. A linear model would be utilized to predict the price. Different values of learning rate would be compared, and the most efficient value according to the cost function would be chosen. Finally, the prediction model with learning rate 2 would be chosen and used by people who would like to know the price of houses without spending a long time. The price of the house can be successfully accessed by inputting the values of features -numbers of bedrooms, bathrooms, area, and floors- to the model.
Deep Learning Approach for Predicting Bone Disorder Using DenseNet
Authors: M. Prakash U , Kottursamy Kottilingam , E. Sathishkumar V
Published: April 2023

Osteoporosis is a medical condition that affects the structure and strength of bones. Osteoporosis is an asymptomatic disease of the bone that affects a significant proportion of the world's elderly, leading to increased fragility of the bone and an increased risk of fracture. This paper's key objective is to provide a critical review of the main artificial intelligence-based systems for detecting populations at risk of osteoporosis or fractures. Skeletal deformities, fractures, twisted knees, inherited bone defects, and other bone disorders affect millions of individuals as a result of a variety of bone disorders. These may help to prevent a variety of possible complications if diagnosed and treated early. We discussed deep neural networks in this paper, including recognition, segmentation, and classification. The architecture and concepts of the deep learning algorithm we used to detect bone density were also discussed. As a result, well use a variety of deep learning algorithms to build a model that can detect a person's bone mass density and recognize any potential threats that have occurred or could occur.
A Deep Learning based Human Detection and Tracking for Security Surveillance Systems
Authors: Irshad Tahira , Asif Muhammad , Hassan Arfa , Ahmad Umair Bin , Mahmood Toqeer , Ashraf Rehan , Faisal C.M. Nadeem
Published: April 2023

All around the world, the crime rate has been increasing day by day, causing a rise in security issues. Closed-Circuit Television (CCTV) cameras have been installed throughout the world with the aim of decreasing crime and increasing public safety. The usage of CCTV cameras helps to increase crime detection accuracy significantly. Daily, a considerable amount of data has been recorded through CCTV cameras. Detection and recognition of culprits in the recorded data is a challenging task as it takes a lot of time, and human interaction is also involved. So, there is a need to develop a system that performs real-time detection and tracking of humans. This paper proposes a human detection and tracking system based on deep learning that assigns a unique ID to humans who enter the video scene. Multi-Task Cascaded Convolutional Neural Networks (MTCNN) and FaceNet models are used to achieve the desired target. The MTCNN model is trained on the WIDER SPACE dataset to perform human detection. FaceNet is used for human identification that is trained on the LFW dataset. The proposed system has been evaluated on 50 video sequences captured in different environments and achieved 97% average accuracy.
A Review for Droplet Routing Algorithms on Digital Microfluid Biochip
Authors: Wen Shulin
Published: April 2023

From 2019, a new kind of virus covid-19 has spread to the world and causes serious health problem on many people. With the growing spreading of virus, covid-19, there is an increasing need for developing rapid means of diagnosis for PCR uses and possibly high throughput screening to develop new drug. As a result, developing DMFB (Digital microfluid biochip) has a broad application prospect. DMFB can be used as an experimental platform to automatically conduct various kinds of biochemical tests, including PCR. It can conduct multiple tests concurrently, using only nano-liter scales reagents. With computer aided, DMFB can save people a lot of energy and resources. To finalize this automated system, we should incorporate some algorithms in it. The routing algorithms of droplets on chip is an important part of implementing the whole system. Finding a good droplet routing algorithm can reduce the time of the whole experimental procedure as well as reduce the amount of cross-contamination to increase the accuracy rate of the experiment outcome. In this paper, a brief introduction of each measure is presented. Then an estimation of their performance is conducted by using the data they attach on their paper, using their own simulator on standard bench test. Furthermore, this paper estimates their actual utility when they are practically used on hardware facility. Finally, this review ends with a discussion about the most promising research direction in the future. This paper aims to make a concise catalog of droplet routing algorithms by first decomposing them and then classifying them according to the different stages they are being used.