bluuebunny/crossref_metadata_2025 huggingface dataset:
womanist reading of Alice Walker’s short stories
Authors: Rajasri S. , Muthuraman K.
Published: August 2022

In 1983, Alice Walker proposed the idea of womanism as a way for black feminism to distinguish itself from white feminism by using the concept of womanism as a point of departure. In response to the erasure of women of color from the mainstream feminist critical theory and politics, this school of thought was born. Womanism, a phrase that comes from black folk culture, is a term used by Walker to indicate that the notion of womanism itself is moulded by the experiences of an African-American female. To be a womanist is to love women, admire and favour women’s culture, and prefer women’s power above everything else. Black life values are celebrated, and womanism lack women’s gendered problems are shown. When it comes to race or gender, it promotes inclusion rather than exclusion. It was the need to address problems of gender without demonizing males that gave rise to the feminist political and analytical framework known as womanism. Studying how far the author has integrated the notion of womanism into presenting her characters’ problems is a major goal of this article. Additionally, the feminine characters are devoted to ensuring the survival and well-being of both sexes, male and female.
Overexpression, biochemical characterization, and anticancer activates of L-asparaginase from Bacillus subtilis
Authors: Darwish Doaa B. , Alrdahe Salma S. , Al-Awthan Yahya S. , Elfaki Imadeldin , Alnour Tarig M. , Darwish Ahmed B. , Saad Instar A. , Alharbi Basmah M. , Habeb Salem A. , Youssef Magdy M.
Published: August 2022

L-asparaginases convert L-asparagine into L-aspartate and ammonia. The L-asparaginase from Bacillus subtilis was cloned and expressed in the E. coli strain BL21(DE3)pLysS in the current study. Using glutathione sepharose 4B column chromatography, the L-asparaginase enzyme was uniformly purified 173.34 times, with a final specific activity of 1769.13 IU/mg protein and a yield of 56.14%. The isolated enzyme was identified as a 36 kDa polypeptide chain by sodium dodecyl sulfate-polyacrylamide gel electrophoresis. The immobilized enzyme was placed on top of the Ca alginate beads. The immobilized enzyme is quite stable and retains the majority of its activity at 4 °C (74 percent). The enzymatic and structural characteristics of free and immobilized recombinant L-asparaginase were studied. The activity of the free enzyme peaked after 30 min of incubation at pH 8.0 and 45 °C. After 30 minutes at 50 °C, the immobilized enzyme showed its peak activity at a pH of 8.5. The refined enzyme's amino acid makeup was identified. An enzyme that heals leukemia, Bacillus subtilis L-asparaginase, can be successfully mass-produced using this technique.
Teachers' perceptions towards video – game-based teaching technique on the acquisition of intermediate school students' vocabularies
Authors: Rahim Fatima Abdul , Dehham Sabeeha Hamza , Hassan Abd Ali Nayeef
Published: August 2022

The main goal of the current study is to investigate the impact of using educational video games strategy on the vocabulary acquisition performance in learning the English language from teachers' and students’ points of view. the researcher follows a qualitative method in his research. A questionnaire is developed to be the main tool for collecting data. The researcher uses the Statistical Analysis System- (SAS) to analyze the data. the researcher uses different statistical tools the researcher uses the Statistical Analysis System- (SAS) to analyze the data and to achieve the aims of the study. The researcher chooses the schools randomly as a sample for the study in Babylon province. After analyzing the data, the researcher concludes that using educational video games strategy is a very efficient way of teaching English vocabulary to EFL students. It improves the learners' vocabulary. It adds fun to lessons by using technologies and creates a good environment for students that increase their motivation for learning.
Evaluation the role of MicroRNAs in diagnosis and prognosis of acute myeloid leukemia
Authors: Muhammid Hind Salih , Hassan Alaa Jawad , Abdulla Hussein Naji
Published: August 2022

Acute myeloid leukemia (AML) is a clonal disorder of hematopoietic progenitor cells which are characterized by relevant heterogeneity in terms of phenotypic, genotypic, and clinical features. Among the genetic aberrations that control disease development there are microRNAs (miRNAs). The  present study aimed to investigate  the role of miRNAs in diagnosis and prognosis of AML and it was designed as cross sectional study in patients with acute myeloid leukemia and normal individuals as control group, we determined: RNA yield and quality; and quantification of miRNA-203, miRNA-143, and miRNA-495 expression by Quantitative Real-Time PCR (qPCR) in the serum of AML patients and control groups. The study was conducted in  period between December 2020 and September 2021 at the University of Babylon, College of Science, department of biology. In this case-control study, blood samples were collected from 115 AML patients (38 male and 77 female) and their ages ranged between 18 and 66 years ,  then, 60 patients were selected based on the quantity and natural color of their samples (28 male and 32 female), in addition to the 30 samples from healthy apparently subjects as a control group (11 male and 19 female), and this group matched with the patients groups.
Spór o antropogenezę w polskiej filozofii dziewiętnastego wieku
Authors: Konstańczak Stefan
Published: August 2022

Artykuł przedstawia dziewiętnastowieczny spór filozoficzny, jaki na temat antropogenezy toczyli ze sobą Karol Libelt i Stefan Pawlicki. Powodem rozpoczęcia sporu były znaleziska archeologiczne na Jeziorze Czeszewskim należącym do posiadłości Libelta. Spór w istocie dotyczył tego, czy chronologia dziejów ludzkości zawarta w Biblii jest możliwa do podważenia, czy też nadal zachowuje swoją aktualność. Stanowisko o nadrzędności świadectw empirycznych reprezentował Libelt, a stanowisko zachowawcze zajął Pawlicki. Tym samym był to w istocie spór dwóch światopoglądów, w którym dla obu polemistów archeologia była tylko narzędziem uzasadniającym własne przekonania. W artykule została omówiona argumentacja, jaką posługiwali się obaj filozofowie, broniąc swych stanowisk, oraz jak interpretowali odkrycia archeologiczne. W konkluzji został oceniony wpływ, jaki ten spór wywarł na samych filozofów oraz na polską naukę.
Human Resources Practices and Employees Quality of Life in Tanzania Mining Industry: A Qualitative Study
Authors:   Institute of Accountancy Arusha-Tanzania, Kiowi Lucy Odo
Published: August 2022

The purpose of this study was to determine the effect Human Resource Practices on mineworkers Quality of Life in the mining industry. A multiple-case study research design in a single industry was adopted. Qualitative data from multiple sources were collected through interview, focus group discussion and observation. The study found that in Mererani mines workers are not properly trained, adequately compensated, given employment contracts, and there is no appraisal of performance conducted on employee. The outcome is that mineworkers lack job skills, better pay, and many have succumbed to death and injuries. This has affected their quality of life as majority are unable to meet the costs of medical care, education of their children, housing, water supply, and other social amenities. The study presents new data that contributes to theoretical development of economic variant of social exchange theory, an area that has been largely underdeveloped. It is recommended that Human resource practitioners and policy makers in organizations should design HR practices that enhances workers needs and organizational requirements in order to achieve performance. The collection of data from Tanzanite mines only limits the generalization of findings to other settings. Keywords - Human Resource Management, Human Resource Practices, Quality of Life, Mineworkers, Tanzanite
Evaluating the Impact of Remdesivir on Covid-19 Patient Outcomes: An Inpatient County Hospital Analysis
Authors: Chopra Christina , Filipowska Liliana , Y. Wang Sharon
Published: August 2022

Background We performed a retrospective chart review on COVID-19 patients treated at Arrowhead Regional Medical Center (ARMC) in Colton, California from January through October 2020. Two outcomes were measured: time to recovery and mortality outcome. Models were subsequently generated to investigate the role of remdesivir on these patient outcomes. Methods This study compares data on the Top 20 MSAs with the highest cumulative COVID-19 case rate at two timepoints (October 13, 2020 and January 1, 2021). The means of CDC’s Social Vulnerability Index (SVI) variables for the highest risk MSAs were compared with the Welch Two Sample t-test to the means of the SVI variables for the rest of the U.S. Results While initial research indicated that remdesivir decreased time to recovery, we found no such appreciable decrease in our study population. Our data corroborates existing studies on the lack of remdesivir’s impact on mortality. When controlling for days from symptom onset to administration of this medication, these outcomes do not change. Conclusion Our data demonstrate that remdesivir does not significantly alter time to recovery or mortality in COVID-19 patients. While the National Institute of Health (NIH) has sanctioned remdesivir’s use for certain COVID-19 populations, we do not observe any appreciable effects of this implementation at our county hospital. Increasing sample size and investigating inclusion criteria may help elucidate this observed lack of effect.
Globalization, Urbanization and COVID-19: Implications for a World All Too Connected​
Authors: Johnson​ Simisola
Published: August 2022

It takes approximately forty hours to circumnavigate the Earth via airplane. The fastest-moving car travels over 300 miles per hour (MPH) and NASA’s latest spacecraft is set to hit a record speed of 430,000 MPH. Since the ‘80s, technological revolutions have produced some of the world’s most innovative transport inventions, challenging the boundaries of space and time all while fulfilling our human desire to move freely from one place to another. Similarly, globalized trade and urbanization also challenge spatial and temporal borders, as the world economy further integrates. Globalization has propelled humanity into the modern economic era of today, granting us access to new cultures, markets and talent at speeds unseen before. However, there is one significant disadvantage to increasing transborder flows: you can travel from Monrovia, Liberia to Dallas, Texas within the limited temporal window of Ebola’s incubation period (Huebener et al., 2015). With this increase in connectivity, comes an increase in global interdependence.
Adichie’s Commitment to Female Biological Experiences in African Literature
Authors: Dick Angela Ngozi
Published: August 2022

Molara Ogundipe-Leslie (1987) challenged African women writers to be committed about women and their biological experiences in wife repudiation and widowhood in her article entitled “The Female Writer and Her Commitment”. In view of this challenge, this article examined Adichie’s portrayal of female biological experiences in Purple Hibiscus, Half of a Yellow Sun, Americanah, the short story entitled Imitation and The Visit. The theoretical framework used in this article is African Feminism. It is established that in Purple Hibiscus, adolescent sexuality is expressed within the ambience of Igbo socialization in which sexual matters are discrete and respected. The expression of female sexuality in Half of a Yellow Sun is audacious, portraying cohabitation which has no merit in Igbo culture in spite of the ravaging civil war setting. The representation of sexual expression in Americanah through the adolescent peering between Ifemelu and Obinze is too detailed for the emotional health of the Igbo adolescent because it disrupted a legal family. Imitation and The Visit negotiated the African family so that the husband and the wife will complement each other while female sexuality is not compromised. It could be concluded that through her prose fictions, Adichie has responded adequately to Molara Ogundipe- Leslie’s challenge to African female writers. Finally, this article recommends that woman’s biological experiences should be fundamental and respected in romantic and family love relationships.
Исследование структурных и оптических свойств кремниево-перовскитных структур со слоем из черного кремния
Authors:   Национальный политехнический университет Армении, Ереван, Армения, Айвазян Г. Е. , Коваленко Д. Л. ,   Гомельский государственный университет, Гомель, Беларусь, Лебедев М. С. ,   Институт неорганической химии СО РАН, Новосибирск, Россия, Матевосян Л. А. ,   Институт радиофизики и электроники НАН Армении, Аштарак, Армения, Семченко А. В. ,   Гомельский государственный университет, Гомель, Беларусь
Published: August 2022

Проанализирована технологическая возможность применения черного кремния (b-Si) в тандемных кремниево-перовскитных солнечных элементах в качестве антиотражающей поверхности. Исследованы структурные и оптические свойства кремниево-перовскитных структур, состоящие из кремниевой подложки с поверхностью из b-Si, электронного транспортного слоя диоксида титана и фотоактивного слоя металлоорганического галогенидного перовскита. Показано, что эти слои без пор и пустот, с высокой степени конформности покрывают поверхность b-Si. Изготовленные образцы характеризуются низким коэффициентом отражения в широком диапазоне длин волн излучения.
Моделирование окисления углеводородов и водорода в присутствии поверхностностных активных центров вода–отрицательный ионгалогена, приводящих к образованию слабых ударных волн
Authors:   Институт химической физики им. А.Б. Налбандяна НАН Армении, Ереван, Армения, Саргсян Г. Н. , Эвинян М. А. ,   Институт химической физики им. А.Б. Налбандяна НАН Армении, Ереван, Армения, Гукасян П. С. ,   Институт химической физики им. А.Б. Налбандяна НАН Армении, Ереван, Армения, Саркисян Г. П. ,   Институт химической физики им. А.Б. Налбандяна НАН Армении, Ереван, Армения
Published: August 2022

В представленной работе возможности компьютерного моделирования используются для объяснения полученных нами экспериментальных данных (пульсирующих лучей в смеси пропан + воздух).С помощью компьютерной математической программы MATHCAD исследована роль тепла, выделяемого при разложении молекул озона, индуцированном ионными молекулами, индуцированными поверхностными ионно-замороженными активными центрами (H2Cl–), в молекулы озона, самораспад которого сильно греет среду, и проводит к рождению, как концентрационных бегущих волн, так и слабых ударных волн в реакторах.
Дифракционное изображение точечного источника медленных нейтронов в слабодеформированном кристалле
Authors: Труни К. Г. , Шахвердян A. В. , A. В. Д. Э. , Кочарян В. Р.
Published: August 2022

Рассмотрена проблема динамической дифракции медленных нейтронов от точечного источника на пространственной решетке кристалла со слабым полем деформации. Теоретический анализ базируется на асимптотическом представлении функции Римана для пары дифференциальных уравнений Гамильтона гиперболического типа, описывающих распространение двух квазиамплитуд дифракционного волнового поля в кристаллической решетке. Выведены условия фокусировки одной из мод волнового поля в решетке. Проведен аналитический и численный анализ поведения основных параметров фокусного пятна в зависимости от расстояния источник-кристалл и параметра деформации.
The Optimization and Empirical Study of Stock Excess Return
Authors: Qiu Congtong
Published: August 2022

In order to explore the influencing factors of stock excess return and provide a particular reference for predicting the development of stocks in the country, I comprehensively refer to relevant economic theories and academic research and use the 2018 and 2019 CSI 300 index data provided by the wind to establish an econometric model. Moreover, carry out inspection and evaluation. I choose the logarithm (R) of the stock excess return as the explained variable, and the risk coefficient, market capitalization, book-to-market value ratio, turnover rate, etc., as the explanatory variables for regression analysis. According to the support of economic theory and the observation of the scatter plot trend, I removed the two explanatory variables of price-earnings ratio and net profit. In order to reduce the influence of outliers on model parameter estimation, I use the SPSS case diagnosis function to remove outliers. I performed a least-squares estimation of the initial model and performed t-tests and F-tests for the parameters and the overall equation for the remaining data. The variance inflation factor shows that the model has a multicollinearity problem, which I remedy by removing the year*ln_ME term. The model did not pass White's heteroskedasticity test. I used Eviews to perform White's heteroscedasticity correction on the model to correct the model standard error and reduce the degree of heteroskedasticity. After remediation, I used the RESET test on the model again, and although the F value increased slightly, it was still in the receptive field, so the model remediation did not make the model setting severe problems. The Jacques Bella test is shown that the model residuals do not completely obey the normal distribution, but due to the relatively large sample size, the model residuals can be approximated by a normal distribution according to the central limit theorem. In addition, I also obtain numerical prediction results through point prediction, and the scatter plot shows a high degree of interval overlap. Finally, I summarize the form presented by the final model and return to the practical significance, which proposes a reference standard for evaluating excess return from the market environment and company size, and further affirm the economic significance of excess return as a diversified evaluation of stock quality.
Research on Consumers’ purchase intention and marketing strategy of fresh online shopping platform
Authors: Xiong Jiaqi
Published: August 2022

Different from the high demand and utilization rate during the outbreak, as China enters the post-epidemic era, the growth of fresh e-commerce platforms slows down, and users begin to decline. Back-end marketing is an important aspect of influencing customers' purchase intention for platforms. Therefore, this study takes the influence of consumers' purchase intention in the post-epidemic era as the research object and adopts literature research and case study methods to analyze it. Factors related to consumers' purchase intention include the quality and price of fresh food, the system quality, and the service quality of e-commerce platforms. The reasons for consumers to stop using online platforms in the post-epidemic era include the opaque quality of fresh online shopping, relatively higher prices, concerns about the safety of online payment, and the difficulty of operating platforms. In this regard, the suggestions put forward in this study include improving the efficiency of commodity information transmission, optimizing commodity prices, and improving the service quality of the platform. It promotes the development of China's fresh e-commerce industry in the post-epidemic era and accelerates the transformation of traditional consumption mode to digital.
Logistics Industry Comparison between China and American Companies & Investment Timing Report: “Why Now”
Authors: Chen Silin , Sun Ao , Xiao Wenxuan , Xu Shengqi
Published: August 2022

The background of this study is based on both China and the United State logistic industry. Through a span of more than a decade, we analyzed the reasons for the success and failure of these two companies (Consolidated Freightways-US & La La move-China) from five different perspectives- Technology, Economic, Social, Installed Base, Regulatory, and Decision-making. We found that each of these five broad environmental factors contributed more or less directly to the ultimate success or failure of the company. The significance of this study is to provide managers with more authoritative results by analyzing similar companies in different regions at different times to help them have a better understanding of business investment timing issues.
Research on the relationship between supply chain concentration, inventory management and performance based on regression model-Take Chinese auto manufacturing companies as an example
Authors: Yang Yimeng
Published: August 2022

In order to explore the relationship between supply chain concentration, corporate performance and corporate inventory management level of Chinese auto manufacturing enterprises, this paper uses the results of the Hausman test combined with the effect regression model to analyze the data of 71 Chinese listed auto manufacturing enterprises from 2017 to 2019. The research results show that: (1) Supply chain concentration is positively correlated with enterprise performance; (2) Supply chain concentration is positively correlated with inventory management level; (3) Inventory management level is positively correlated with enterprise performance; (4) The mediating effect of inventory management level is not significant.
Research on the integration and development of advanced manufacturing and modern service industries in Jiangsu Province
Authors: Ying Bai , You Hongbing
Published: August 2022

With the continuous development of the economy, the manufacturing and service industries have gradually shown a trend of integration. This study constructs the evaluation index system of the integration of the advanced manufacturing and modern service industries in Jiangsu Province from the three dimensions of integration scale, integration structure and integration efficiency. Finally measures the integration degree of the two industries in Jiangsu Province and the development of the specific three dimensions. The study found that: 1) Overall, the integration of advanced manufacturing and modern service industries in Jiangsu Province is at a moderate level of integration. 2) From the perspective of the scale of integration, from 2015 to 2017, the contribution ratio of advanced manufacturing industry is larger, and after 2017, the contribution ratio of modern service industry is larger; from the perspective of integration structure and integration efficiency, the overall contribution of modern service industry is higher than that of advanced manufacturing. The conclusions of this paper have reference value for promoting the integration and development of advanced manufacturing industry and modern service industry, and provide empirical evidence and suggestions for promoting the integration of the two industries in Jiangsu Province.
Research on Metahuman in Brand Non-Fiction Communication
Authors: Liu Xiaoda
Published: August 2022

After decades of Internet development, the boundary between virtual and reality is becoming blurred, and the sense of immersion in user experience is becoming more and more emphasized. When the sense of immersion and participation reaches its peak, Metaverse will become the “ultimate form” of Internet development. Following the “Metaverse”, the concept of “Metahuman” quickly heated up, and brands are warming to new digital marketing methods. They realize that traditional marketing tactics fail to attract the attention of the younger public, who are more likely to appear in virtual worlds and social networks. Therefore, it is crucial to adapt and deliver more innovative experiences to reach the young generation. However, related academic literature is fragmented and limited, among which there are few studies on Metahuman in brand communication. Lacking conceptual clarity, almost no research has pointed out the opportunities and dilemmas faced by Metahuman in brand communication. This article makes three contributions to the study of Metahuman in brand communication. First, to solve the ambiguity of its classification and ensure the consistency of the objects, this study systematically sorts out the brands that have held hands with Metahumans in the past two years. Furthermore, it provides Metahuman’s typology according to their scenes, functions, purposes, social attributes, and other dimensions. Secondly, a case study of AYAYI, a typical Metahuman with multiple identities and functions, analyzes the Metahuman’s opportunities and challenges in brand communication. Finally, the concept of Non-Fiction Marketing is proposed. Brands can convey scattered and fictitious aggregate cognition, including value propositions, temperament, and personality, to the audience figuratively in this Metaverse era.
Study on the transmission path of factors affecting employee slackness based on the ISM-MICMAC model
Authors: Bai Yuchen , Ge Huimin , Xie Manlin
Published: August 2022

In the actual work of enterprises, employees will appear slack at different times. How to strengthen and motivate the enterprise employees to work is the critical content about which every enterprise manager should think. In this paper, using (ISM-MICMAC) model, with the aid of the computer, the causes of influencing employees' slackness with the complex structure of unclear relationships are analyzed, and a system of 3 influencing slackness indicators is constructed from 11 aspects. Using the construction of the path provincial conduction diagram, the role and position of each influencing factor in the system are clarified, and the driving force and dependence of each influencing factor are calculated. The cross-influence matrix is used to quantify the driving factors. The results show that the dependency, linkage, and independent elements are the three main factors affecting employee slackness's conduction path. This paper studies the causes affecting employee slackness, which can help managers clarify the influence path of employee slackness factors in enterprise management, mobilize employees' work motivation, and hopefully enlighten enterprise managers.
A Comparative Analysis of CSR in Developed and Developing Countries- A Qualitative Case Study of Walmart and JD.com
Authors: Zhao Yunmeng
Published: August 2022

CSR originated in western developed countries and is deeply rooted in their corporate culture. It was only in recent years that companies in developing countries realized the important role of CSR in business practice. Now, CSR has become an integral part of corporate development. Through a comparative case study of the CSR activities in Walmart and JD.com, this paper explores the similarities and differences between CSR in developed and developing countries and the reasons for the differences by analyzing the companies’ official websites, annual CSR reports, and sustainability reports. In addition, there is a SWOT analysis of the CSR activities of the two companies, the deficiencies and challenges of CSR activities at the current stage are discussed. The result shows that the similarities and differences of CSR are influenced by the political, economic, social and cultural factors. Developed countries should focus more on specific CSR activities in response to internal and external environment changes to save CSR expenses and improve efficiency for future CSR activities. As for developing countries, governments should play a role in improving the regulatory environment and raising awareness and participation in CSR. The functions of community and media are also significant.
A study on the identification of economic contribution of import and export based on random forest algorithm under Gini index
Authors: Zhang Ruitian , Xie Qing , Xu Yangchen
Published: August 2022

In the context of economic globalization and the building of a community of human destiny, the integration of the world economy has accelerated, and import and export trade is particularly important in a country's economic development. Many factors influence the import and export economy, and the uncertainty is high and more challenging to predict. In order to carry out a random forest model for the import and export economy, this paper constructs a random forest model. Also, it introduces the Gini index to ze China's total import and export economy. The method starts with the RF model construction based on the factors set. The data for Beijing 1987-2021 was used as a forecast by constructing five impact factors and then introducing the Gini index to measure the importance of the impact factors. The final test was carried out by two indicators, MSE, and R2. The conclusions are as follows: for the divided training and test sets, the MSE calculated by is 0.095 and 0.188 ,and R2 is 0.924 and 0.849, respectively, which shows that the prediction model is more accurate and yields more precise prediction results. The empirical analysis shows that the method can identify the impact indicators of China's total import and export economy more accurately.
Pension Portfolio Optimization and Impact of Debt Defaults
Authors: Bai Wenshan , Lam Puiyuen , Xu Jinghua
Published: August 2022

Usually, the government offers two pension methods, a lumpsum buyout or an annual pension. In this paper, we provide an effective method to evaluate these two government pension methods. Initially, we constructed a pension portfolio consisting of five popular assets, such as the tech giants and popular ETFs. Then we use the Fama-French 3-factor model to calculate the expected returns of every asset. The Sharpe Ratio is the standard to make a choice that accepts the portfolio with a pension or the portfolio without a pension. Except for the Sharpe Ratios, we also took the government debt default and retirement ages into consideration. Government debt defaults contain two types, partial defaults, and full defaults. These two different kinds of defaults can have a significant impact on pension choice. With this method, we could obtain the decision boundary of the pension choice. Investors could utilize this boundary to decide whether to accept a pension or a lumpsum buyout by themselves.
Comparison of CAPM And Fama-French Three-factor Model
Authors: Tao Wanjianan
Published: August 2022

Asset pricing is very important for financial market operation. The capital Asset Pricing Model and Fama-French three-factor model are two classical asset pricing models. This essay, compared portfolio returns and utility under different model settings by constructing a portfolio, conclude that the Fama-French three factor model is more effective than the CAPM model. It can more comprehensively include factors affecting stock prices to project the price in the future. In our study, we found drawbacks in the assumptions of the CAPM model, the assumptions give the model a perfect market which is far away from the fact. However, Fama-French three factor model also has its downsides. We just talk about the better choice between the two models. After the research, there still exist some limitations to our study. We need to conduct in-depth research to refine asset pricing models.
Research on the problems and countermeasures of American subsidized housing in the mid to late nineteenth century
Authors: Ding Tianze , Ding Yuang , Wang Mutian , Zhai Yonghan
Published: August 2022

Subsidized housing in the United States is an important economic issue that this article will explore what’s wrong with affordable housing in the United States today and whether government subsidies for affordable housing are justified, and so on. Food and clothing live line is the necessity of human beings. Most private developers develop houses to avoid causing prices to rise fast. And building especially low-rent housing is just a need (most of the residents living in the subsidized house) under the condition of the environment is not good. This paper used two literary and case study methods to study this topic and finally discussed the results of race factors, security factors, and economic factors. In addition, this paper tries to set up countermeasures that the government should regulate and take relevant measures, such as more subsidies and measures to improve the plot ratio. Government intervention in economics will allocate resources more efficiently and better. Solving such problems can reduce the vagrant phenomenon, reduce the spread of diseases and improve the city’s image. It can also improve people’s livelihood, promote social harmony and stability, and reduce the crime rate to a certain extent. Real estate developers and government departments also have close interests.
Geographical Factors Affecting Grubhub’s Business amid COVID-19 Pandemic
Authors: Wei Shuoren , Yin Pinhua
Published: August 2022

During the COVID-19 outbreak, the food delivery market in the United States began to thrive. However, Grubhub, one of the largest food delivery platforms, did not capitalize on this opportunity and experienced severe net losses and a significant decline in market share. Despite the popularity of research on the demographic factors affecting the food delivery market, geographic factors were poorly concerned. In this paper, more attention was paid to reveal the geographical factors that led to the recession of Grubhub under the pandemic. Four machine learning models, namely Linear Regression, Support Vector Regression, Bayesian Ridge Regression, and Elastic Net, were applied to identify the unusual decrease in the net income of Grubhub using Python. This paper then explore the geographical factors by visualizing the business and demographic data. The predicted results show that Grubhub's performance was far below its average over the past two years. Furthermore, by data visualization, it is found that a major geographical factor preventing Grubhub from capturing opportunities is its lack of business expansion into suburban and rural areas.
Tests on the explanatory and predictor power improvement on Fama and French Three Factor Model by the addition of VIX index
Authors: Chen Haoyang
Published: August 2022

The three-factor model derived by Fama and French from the CAPM is widely known for its precise attribution of the factors that affect stock returns. However, as scholars including themselves later observed, the forecasting power of their model, though somewhat better than CAPM, is still fairly weak. While the role of investor sentiments in asset pricing has already been proven, this paper proposes that the addition of the investor sentiment factor into the three-factor model will promote its ability to explain realized returns as well as forecast future stock performances. After statistical tests are employed, the result does support the proposal. However, the improvement is very limited. A hypothesis is then raised to argue the reason behind it.
Research on the Development Status and Problems of Scientific and Technological Small and Medium-Sized Enterprises
Authors: Chen Zefei , Duan Bowen , Shen Ailin , Yan Yucheng
Published: August 2022

This paper is aimed at figuring out the elements which a technology-based small and medium-sized enterprise should have in order to further growth. Based on the deconstruction of the development of this kind of enterprise, the paper summarizes the current development problems of domestic technology-based small and medium-sized enterprises. The development of science and technology small and medium-sized enterprises in China is mainly faced with the problems of limited number and regional imbalance. In some undeveloped regions, the local governments are relatively more willing to invest their restricted capital to infrastructure construction and do not pay enough emphasis on innovation activities. Taking TianJin Chase Sun Pharmaceutical as an example, this paper investigates the management mechanism and financial information to study the development factors of Chase Sun Pharmaceutical, using SWOT analysis and financial indicators analysis. CSP has converted from an enterprise on the verge of bankruptcy to a “Little Giant” enterprise that has strong research and development abilities. The case analysis reflects the development hindrance factors such as achievement transformation level, financing difficulties, and management defects, and further puts forward countermeasures and suggestions. Through this analysis, more specific information and experience on the development of science and technology in small and medium-sized enterprises in China is expected to be verified.
Research on the Integration and Development of Internet Economy and Real Economy Represented by Short Video Platform in China
Authors: Chen Huijia , Qin Yi
Published: August 2022

The current short video platform is growing rapidly and enjoyable to the public, attracting us to focus on the development process and advantageous impact of the Internet economy. We will collect data on the number of users and profits of short video platforms in recent years, as well as the losses brought to the real economy, to further analyze the relationship between the Internet economy and the real economy. In general, the Internet economy and the real economy have their own advantages and disadvantages, and currently appear to be incompatible with each other in terms of impact patterns. However, the internet economy and the real economy are inseparable and complementary, and in the future we will study and promote their joint development to achieve a win-win situation.
Review of Relationship between Business Innovation and Geographic Areas in China
Authors: Mai Jinliang , Song Chengze , Yan Xizi
Published: August 2022

Business innovation plays an essential role in its development. There are various factors affecting business innovation. Business innovation plays a vital role in its development. There are many factors that affect business innovation. Based on the existing research results, this paper sorts out and summarizes the research results of geographical characteristics, business innovation and the relationship between the two. The research results show that geographic proximity can promote business innovation through knowledge and technology spillovers, and multi-dimensional proximity and combination models such as cognition and institutions will bring about differences in corporate innovation performance. This article can help investors evaluate the above factors, determine the direction of investment, and make the right investment to promote economic development. This can also encourage the growth and expansion of potential SMEs.
The economic impacts of the carbon tariffs
Authors: Liang Jiaying
Published: August 2022

Considering the deteriorating environmental problems, the carbon tariffs are planned to implement on the high carbon products. This passage provides the analysis of the influence of the carbon tariffs, especially to the developing countries. Admittedly, the carbon tariffs can, to a certain extent, reduce the greenhouse gases emissions. However, there is no doubt that they pose threats to the economic entities, globalization, domestic employment, and the international market. Meanwhile, both domestic and international measures of the developing countries are predicted. In terms of the domestic measures, the government should encourage the innovation in the field of green technologies and motivate the establishment of trading mechanisms. As for the international measures, the countries should cooperate on dealing the international issues and maintain the fairness of the international market.
The price prediction for cryptocurrency based on the state-of-art machine learning approaches
Authors: Guan Ying
Published: August 2022

Cryptocurrency has evolved from a fringe phenomenon to a far more popular method of investing and financing. For investors and traders, predicting the price of bitcoin is critical. Several machine learning algorithms are utilized to anticipate the price of digital money in this research paper. The analysis employed Decision Trees, Light Gradient Boosting Machines, and Neural Networks. The purpose of this study is to look at the predicted accuracy of each machine learning method. According to the analysis, decision tree, lightGBM, and neural networks have a very high accuracy rate when it comes to forecasting cryptocurrencies. These results shed light on guiding further exploration to help investors in building an appropriate digital currency portfolio and reducing risks.
Research on Cost Optimization of Supply Chain Network in Dairy Industry
Authors: Gu Fuya
Published: August 2022

The domestic dairy consumption market is constantly expanding, but most dairy products are perishable and difficult to preserve. Therefore, the supply chain network of the dairy industry is special and its cost is relatively high. Based on Marshall L. Fisher's supply chain matching model, this paper constructs an agile supply chain network for the dairy industry, which is cost-optimized for each node and the whole.
The Impact of US-China Trade War and Protectionism--In Terms of China
Authors: Xu Daoshi
Published: August 2022

This paper focuses on the consequence of the trade war between China and the US on China's economy under trade protectionism policies. This paper first introduces the history of trade wars, the motives of trade protectionism and the status of the trade war. Based on the above background information, this paper explains that trade deficit is the core reason for the outbreak of sino-US trade war, and introduces in detail a series of economic and technological sanctions adopted by the United States against China. Based on the above information, the paper concludes the impact of the Sino-US trade war on China's economy. The trade war between China and the US has slowed down the development of China's economy, technology industry and financial market through a series of measures, including high tariffs, trade bans and technology monopolies, while also bringing high unemployment to China.
Electric Vehicle Sales Analysis Model Based on User Purchase Intention Analysis
Authors: Zhang Ying , Chen Yibing , Huang Peisen
Published: August 2022

New energy vehicles are a major innovation field in China's 12th Five-Year Plan.In order to study the sales strategy of target customers of electric vehicles, this paper establishes the sales prediction model of electric vehicles. First, the initial decision tree model of customer mining of different brands of electric vehicles is constructed.The model was optimized by changing the minimum sample number of leaf nodes and pruning.At the same time, we do cross validation error analysis on three decision tree models, and finally get a stable and sensitive customer mining model.In the evaluation of the model, four indicators TP, FN, FP and TN in the confusion matrix were used to calculate the classification accuracy, recall rate, precision rate and F1 score, and the calculation results showed that the model had good classification and prediction effect.
Research on the Influence of Foreign Direct Investment on Regional Economy
Authors: Qiu Yuxuan , Shi Jiaming
Published: August 2022

Foreign direct investment is always an important part of Chinese economy. However, China’s attitude toward FDI has changed in recent years because China wants development with higher quality. Based on official data from the National Bureau of Statistics of China, this article compares and analyzes the impact of investment on development in different regions. In this article, multiple linear regression model has been used in order to figure out the relationship between FDI and China’s regional economic development. The reason we choose this model is because economic development is affected by multiple variables. By using this model, we figure out that there is a significant positive correlation between FDI and GDP from a country-wide perspective. From the perspective of different regions, this article finds that there is a significant positive correlation between FDI and GDP in the eastern and western regions, while there is no significant relationship between FDI and GDP in the central region. The result of this research shows factors that affect the effectiveness of FDI, which can help the country to utilize FDI better.
Research on the Key Elements of Airbnb Customers’ Room Monthly Reviews
Authors: Su Zongsheng
Published: August 2022

Airbnb has become a frequent option when people start to plan their trips. The trend of Airbnb usage has shown that people are switching from regular hotel booking platforms like Expedia, Bookings, etc., to Airbnb while traveling to a new place. Airbnb is not only a platform that offers new options for hotel booking but also a lifestyle-sharing platform that allows travelers to share their living experiences from different destinations. What’s more interesting is that even during the Covid-19 pandemic, when people cannot travel or go outside, they can still interact with homeowners (hosts) on their chosen topic via streaming video. Therefore, those contents successfully attract more users who become passionate about the Airbnb experience and are willing to share their comments or reviews under each topic or location. This paper focuses on the renting industry. We select Airbnb and try to find the relationships behind different variables. We want to look at our database and use different languages to understand Airbnb in New York, such as multiple regression analysis. We have a database before the Covid-19 outbreak, which can fairly reflect the situation during the normal time. In order to find the relatively accurate correlation results, we want to confirm the correlations which confidently proclaimed that ‘calculated_host_listings_count’ has positively correlated with ‘Reviews_per_month’. This paper aims to identify the key elements that most impact customers submitting their monthly reviews and how those reviews motivate other customers to book their upcoming trips through Airbnb continuously.
Prediction on the Price of Technology Stock and COVID-19 Based on Multiple Linear Regression
Authors: Cen Xitao
Published: August 2022

The outbreak of COVID-19 hit the world economy. Represented as an ownership share in the company, stock is one of the most common financial products and economic indicator. However, the stock market is known as being volatile, which makes it hard to predict. Many factors may affect the stock market, e.g., interest rate, trade wars, political scandals, and widespread pandemic such as COVID-19. While stock prediction is extremely challenging, the passage uses multiple linear regression model to predict the price of three technology stock: Apple, Amazon, and Google. The author builds the linear model based on the 5 factors of stock price, including VR (Volume Variation Index), WR (Williams Overbought/Oversold index), ATR (Average True Range), TRIX (Triple Exponential Average) and Log Return of the Close. From the website, yahoo finance, the author obtained the raw data of these three technology companies in recent five years. Compared the final linear regression model with the real adjusted closing price of the stock, there is a clear difference between them. Additionally, the passage finds that TRIX, ATR and Log Return of the Close have larger influence on the predicted closing price as they have larger coefficient. According to the regression model, one can predict the price of the stock in the future. Based on the predicted stock price, it is feasible to investigate the future influence of COVID-19 on the technology price. These results shed light on guiding further exploration of impact of COVID-19 on the stock market.