bluuebunny/crossref_metadata_2025 huggingface dataset:
Desafios e impacto da educação em saúde associada a cinesioterapia laboral para a promoção da saúde em servidores do estado do Paraná
Authors: Borato Mariane , Batista Emilly , Pedrini Muzeka Ana Luiza , Lepper Sotomaior Mader Sunye Julia , Carmelo Marques Bruna Karina , Moraes Ângulo Raquel , Schmidt De Sales Ramon , Ali Ibrahim Iskandar Jihad , Ferreira De Lima Elisangela , Brasão Penha Odione , Passamani Pedro Henrique , C. Szkudlarek Ariani , B. de Macedo Ana Carolina , B. S. Gallo Rubneide , Gianello Gnoato Zotz Talita , Boneti Moreira Natália
Published: May 2023

Introdução: A Fisioterapia atua na saúde do trabalhador pela promoção e prevenção a saúde. Diversos recursos podem ser utilizados para tal finalidade, como a educação em saúde e a cinesioterapia laboral. Objetivo: Verificar os desafios e os efeitos da educação em saúde associada a cinesioterapia laboral sobre a qualidade de vida, percepção da saúde e dor musculoesquelética em servidores públicos do Estado do Paraná. Metodologia: Trata-se de um estudo experimental desenvolvido por meio da disciplina de Habilidades Fisioterapêuticas. Foram aplicados questionários para avaliação da qualidade de vida (SF-36), percepção da saúde e dor musculoesquelética (Nórdico). A prática de educação em saúde foi realizada por meio de cartilhas informativas e foi associada a cinesioterapia laboral. As atividades foram realizadas na Procuradoria Geral do Estado do Paraná uma vez por semana, totalizando 12 encontros. A comparação dos momentos pré e pós intervenção foi realizada pelos testes de Wilcoxon e Qui-Quadrado. Resultados: A análise dos dados evidenciou que grande parte dos servidores melhorou os domínios de capacidade funcional e dor da qualidade de vida e a percepção da saúde. A maior queixa de dor lombar e apresentou redução de sua prevalência após o experimento. Conclusão: O grande desafio da atividade proposta foi a aderência e participação dos servidores. Apesar disso, os servidores que participaram ativamente do programa de educação em saúde com a cinesioterapia laboral evidenciaram efeitos positivos sobre a qualidade de vida, percepção da saúde e dores musculoesqueléticas, sendo estas sugeridas como uma ferramenta importante para a promoção da saúde de servidores.
Redes de Interação no Sistema de Inovação em Saúde de Minas Gerais
Authors: Santos Martins Mozart , Dos Reis Azevedo Botelho Marisa , Ruffoni Janaina , Tatsch Ana Lúcia
Published: May 2023

A partir da abordagem de sistemas de inovação, este artigo propõe identificar os atores que se destacam no Sistema de Inovação de Saúde de Minas Gerais e caracterizar suas interações. São examinadas as interações que se estabelecem entre as universidades/institutos de pesquisa, a partir de seus grupos de pesquisa, e outras organizações. Foram coletadas informações junto ao Diretório de Pesquisas do Conselho Nacional de Desenvolvimento Científico e Tecnológico (DGP/CNPq) para o ano de 2016. A partir dos dados dos grupos interativos de pesquisa da área de conhecimento das Ciências da Saúde sediados em Minas Gerais, foram construídas redes que informam características dos vínculos estabelecidos. Observou-se um número significativo de grupos de pesquisa que interagem com organizações de diversas áreas, com destaque para as interações realizadas entre grupos de pesquisas e universidades, sendo a UFMG o ator central local. No que diz respeito às interações grupos de pesquisa-firmas, apenas um pequeno número interage com o setor produtivo. Portanto, as potenciais conexões entre agentes, especialmente do setor produtivo, não se estabelecem de modo a que se tenha um sistema, na verdadeira acepção do termo.
Influência socioeconômica das famílias sobre o rendimento dos filhos ocupados, de 24 a 33 anos de idade, que residem com os pais, no Brasil – nos anos de 1995 e 2015
Authors: Barros Daniel Da Silva , Ferreira Carlos Roberto
Published: May 2023

O objetivo deste trabalho é analisar a influência socioeconômica familiar sobre o rendimento dos filhos de 24 a 33 anos de idade que continuam residindo no domicílio com os pais, nos anos de 1995 e 2015. Em especial, verificar como alguns aspectos profissionais da pessoa de referência do domicílio impacta na vida profissional dos filhos. Com base nos dados da Pesquisa Nacional por Amostra de Domicílios (PNAD), de 1995 e 2015, foram ajustadas regressões de rendimento para pessoas ocupadas, com idade de 24 a 33 anos, na condição domiciliar de filho, incluindo-se como variáveis explanatórias características pessoais, familiares e rendimento e escolaridade dos pais. As estimativas mostram que a escolaridade é significativamente importante na determinação da própria renda. Além disso, o setor de atividade, o rendimento e escolaridade dos pais são fatores que influenciam na conformação da renda dos filhos. Verifica-se também, ao incluir na equação características do ambiente familiar e dos pais, que ocorre uma diminuição da taxa de retorno da escolaridade, sugerindo que o efeito da educação sobre o rendimento pode estar superestimado em regressões de rendimento que não consideram a influência de aspectos familiares.
Project Planning Practices and Performance in Rwanda: A Case of Umurimo Kuri Bose Project in Rwamagana District
Authors: Abanyagasani Odette ,   Mount Kenya University, Rwanda, Gitahi Samson ,   Mount Kenya University, Rwanda
Published: May 2023

Nobody sets out to fail, yet projects are still failing to reach to their intended objectives. This cross-sectional research design investigated effect of project planning practices and project performance, evidence from Umurimo Kuri Bose in Rwamagana District, Rwanda. Specifically, this study sought to analyse the effect of project scope planning, and project risk planning on project performance, a case of Umurimo Kuri Bose Project. The population of this research was beneficiaries of Umurimo Kuri Bose, a project implemented by education development center in Rwamagana district and local leaders in Rwamagana district. Total population were 906 and sample size was 279 calculated using Yamane formula. Both simple random and purposive sampling techniques were employed. Regarding to first objective of this study, the findings showed that 50.5% concurred that, identifying project activities significantly contribute to the performance of Umurimo Kuri Bose Project, and about 46.5% strongly agreed that estimation significantly contributes to the performance of the project while 37.7% asserted that identifying risk and their risk response is the main contributor of project performance. During the interview, staff members of EDC emphasised that identifying overall project activities and align them with time and budget should be the root foundation of ensuring better project performance. Moreover, the findings showed that most of the respondents agreed that cost efficiency, quality of a completed project and completing a project on time are the main indicators of a project performance indicated by 78.8%, 68.4% and 65.2% respectively. Based on the interpretation of collected and analyzed data during this study which aimed to assess the contribution of project planning practices and project performance. The study concluded effective scope planning, cost planning and risk significantly contribute to the performance of project in Rwanda whereby scope planning has 0.696, cost planning has 0.749 and risk planning has 0.845 with project performance. The study recommended similar organizations to EDC to adopt the habit of cost, scope and risk planning in their planning practices as a way of securing project performance; for effective and efficiency use of resources, during cost planning, organizations are advised to outsource experienced personnel in budgeting and finance; lastly there is always a need to set a clear and realistic project scope during project planning which is the basis for setting clear project indicators, outputs and outcomes. Keywords: Project Planning, Project scope planning, Project risk planning, Performance
Supervised Laser-speckle Image Sampling of Skin Tissue to Detect Very Early Stage of Diabetes by Its Effects on Skin Subcellular Properties
Authors: Orun Ahmet ,   School of Computer Science and Informatics, Faculty of Technology, De Montfort University, Leicester, UK, Critien Luke Vella , Carter Jennifer , Stacey Martin ,   School of Computer Science and Informatics, Faculty of Technology, De Montfort University, Leicester, UK,   School of Computer Science and Informatics, Faculty of Technology, De Montfort University, Leicester, UK,   School of Computer Science and Informatics, Faculty of Technology, De Montfort University, Leicester, UK
Published: May 2023

Objective: This paper investigates the effectiveness of a multi-disciplinary system based on laser speckle image sampling, image texture analysis, and artificial intelligence (AI), applied to the early detection of diabetes disease. The main objective is to develop an optimized unified technique to exploit the cellular form of skin structure and its low-level interaction with a specific laser light at critical wavelength which generates laser speckle effect to characterize sub-skin subtle cellular changes. This goal is achieved by the classification process which leads to detecting the presence of diabetes non-invasively from skin properties. Methods: With the latest developments in AI, laser-optics and laser speckle imaging technologies, it could be possible to optimize laser light parameters such as its wavelength, energy level, and its laser speckle image texture measures to achieve this goal. In the proposed work, such interdisciplinary techniques were demonstrated, which normally would not be possible by earlier conventional methods due to the lack of such optimized combinations. Results: Through the optimization of system parameters in laser-optic components, AI utilities, and texture analysis methods, it is possible to obtain up to 90% classification accuracy to identify normal and diabetes affected skin groups. Conclusion: The new approach is potentially more effective than the classical skin glucose level observation because of its optimized combination of laser physics and AI techniques. Additionally, it allows non-expert individuals to perform more frequent skin tissue tests for an early detection of diabetes. Cost effectiveness, which is another target for the proposed system, has also been justified by using low-cost system components, such as a very low-power laser source and normal digital camera.
Isolation and Identification of Lactic Acid Bacteria from Homemade Natural Pickles
Authors: Çetinkaya Asya
Published: May 2023

Pickles are both a traditional and commercial product type formed as a result of fermentation of fruits or vegetables. Many types of pickles prepared by traditional methods can be produced in different ways in terms of raw materials and chemical properties such as salt ratio and acidity. The aim of this study was to determine the existing natural microflora in home pickles and to identify the dominant species. 15 traditional home pickles were used as material for microbiological and some chemical analyses. Isolation of LABs (Lactic acid bacteria) from pickle samples and identification of the isolates by classical methods and API test kits were carried out. In the study, a total of 130 pickle-derived strains were isolated and 88 of them were grouped as Lactobacillus and 42 as Pedicoccus. In addition, total aerobic mesophilic bacteria, yeast and mould, lactobacillus lactococcus counts and pH, acidity and salt content were determined from microbiological parameters and chemical analyses. As a result, it was determined that the dominant flora present in the home pickle samples belonged to L. plantarum.
Radiation-Chemical Methods of Hydrogel Dressing Structure Modification
Authors: K Mamytbekov Galymzhan
Published: May 2023

The objects of the study are polymeric composites synthesized by mixing chemically and structurally complementary natural (Agar-Agar [AA], Chitosan [CS]) and Synthetic (Poly-N-Vinylpyrrolidone [PVP]) macromolecules in the presence of low molecular weight substrates (Polyethylene Glycol [PEG-400], Glycerol [GL]) as plasticizer to regulate the surface properties and volume characteristics of hydro-gel materials with functionally specified operational parameters, such as high adhesive affinity to damaged tissues, biological compatibility with body and organ fluids, high esterase and antimicrobial activity
A CROSS-SECTIONAL STUDY TO DETERMINE THE CHOICE OF MATERIAL FOR REPAIRING RESTORATIONS AMONG THE DENTIST IN VIDHARBHA REGION
Authors: Dhotkar Vaishnavi
Published: May 2023

BACKGROUND: The findings of this study will help dental care professionals reach out to the material of choice in more meaningful ways by catering to a list of potential reasons that will determine the selection of material for repair restorations based on its longevity, strength and knowledge of dental professionals of Vidarbha. OBJECTIVE :To evaluate the practices and attitude regarding material of choice and method amongst dentist for repair of defective restoration of tooth in Vidarbha:A cross-sectional study. METHODOLOGY: An online-based cross-sectional questionnaire study was conducted to assess the responses to 15 selected questions regarding carried assessment of the practice and attitude about reparative restorations among dental professionals of Vidarbha Region. The questionnaire was distributed amongst dental health professionals and their responses was recorded along with validation of questionnaire. A convenient sampling method has been applied in the cross-sectional study depending on the responses received after the survey. The results were determined based on the response on material selection and its longevity. RESULTS: According to the dental professionals of Vidarbha Region, preferred material for repairing a restoration rather than replacing it completely with a newer technique has its own set of advantages, depending on the type of material used for re-restoration. Their preferred materials are amalgam (9.1%), composite (74.5%), ceramic (7.3%), resin (3.6%), metal ceramic (1.8%), glass ionomer cement (3.6%), gold alloys, and all metal is rarely used. DISCUSSION : Dentists in the Vidarbha region of Maharashtra, India, routinely execute repairs of failed single-tooth restorations, and it is a well-established treatment process. Repair restorations are of great value for both the dental professional and patient as it saves time and is pocket friendly
A Study of Legal Issues in The Sharing Economy
Authors: Zhang Lichen
Published: May 2023

As innovative products in the sharing economy, bike-sharing and car-sharing have rapidly created a boom in China for their convenience and innovation. The birth of bicycle sharing and car sharing is a double-edged sword for the public and even the society, which is conducive to promoting the public's green travel lifestyle and making the life of the society at large convenient, such as: helping to promote a green, healthy and environmentally friendly way of travel, reducing the pollution of the environment and improving the appearance of the city; but at the same time, it also has certain negative effects on the public's life, such as: new and old shared bicycles, the However, it also has a negative impact on public life, such as: new and old shared bicycles, shared cars crowding the roads, etc. While this has brought convenience to the public, it has also created a series of obstacles to travel. In order to promote the healthy and green development of bicycle sharing and car sharing, we summarize the current development status of bicycle sharing and car sharing, analyze the causes, and propose corresponding management countermeasures in view of a series of problems arising from their operation.
Preface: 2023 International Conference on Economy and Finance, Enterprise Reform and Marketing Research (EERMR 2023)
Authors: Constance Wendell , Zhou Jun
Published: May 2023

It is our great pleasure to welcome you to the 2023 International Conference on Economy and Finance, Enterprise Reform and Marketing Research (EERMR 2023) which was held in Xi'an, China during February 11-12, 2023. This conference is a forum that encompasses the most current knowledge in the fields of economy and finance, enterprise reform, business management, electronic commerce, and marketing research on a rapidly advancing multidiscipline in one conference.

The major goal and feature of EERMR 2023 is to bring together academic faculties, scientists, engineers, and industry researchers to exchange and share their experiences and research results, and discuss the practical challenges encountered and the solutions adopted. It is a golden opportunity for the students, researchers, and engineers to interact with the experts and specialists to get their advice or consultation on technical matters and even research strategies.

This proceeding presents a selection from papers submitted to the conference from universities, research institutes and industries. All the papers were subjected to peer-review by conference committee members and international reviewers. The papers selected depended on their quality and their relevancy to the conference.

EERMR 2023 Organizing Committees

Xi'an, China
The Regional Impact Mechanism of Green Finance on the Level of Sustainable Development--Based on the panel data of Chinese s from 2011 to 2020
Authors: Wu You
Published: May 2023

With the deterioration of the global ecological environment, sustainability is gradually becoming the main theme of economic development. The promotion of green finance can help alleviate the contradiction between the environment and the economy and therefore enhance sustainable development. This paper selects panel data of each from 2011 to 2020 as the research object and explores the effects of green finance, technology development level, the urbanization process, marketization level, and economic openness on the level of sustainable development and the regional differences by using the combination weight measure, convergence test, K-means clustering, and panel data analysis. The empirical results show that the overall degree of differences in sustainable development levels among s and cities tends to decrease from 2011 to 2020. From the overall results, the positive development of green finance, technology development, urbanization, marketization, and economic openness all contribute to sustainable development; from the regional analysis results, except for the western region, the sustainable development patterns of s and cities are coordinated, and factors such as green finance still play a positive role in sustainable development. Finally, combined with the findings, this paper suggests that the relevant suggestions to achieve high-quality development nationwide.
Port container throughput prediction method based on SSA-SVM
Authors: Wu Weiyuan , Ma Long , Gao Shangzhi
Published: May 2023

To improve the prediction accuracy of the port cargo throughput and the applicability of the prediction model, and then provide data support for the port construction to meet the needs of port decision-making, take the monthly cargo throughput data of Shanghai Port from January 2009 to December 2022 as an example, use Pearson correlation analysis to screen 12 import and export impact factors. This paper improves the traditional SVM model, uses SSA (Sparrow Search Algorithm) to optimize the parameters c and g in SVM, and uses the model to predict. Compared with the model that uses the grid search algorithm to optimize the parameters of SVM, the model has a significant improvement in fitting and robustness, its predicted value is closer to the actual value, the prediction performance is better, and it can better reflect the actual state of the port.
Analysis of Investment Value of Chinese Tide Play Firms-Based on Hierarchical Analysis and Factor Analysis
Authors: Yao Mengfan , Wang Wenjuan
Published: May 2023

In recent years, China's tide play enterprises are developing rapidly, the market potential is enormous, and a large amount of capital is flowing into the industry. Therefore, the specific analysis of the investment value of the tide play industry has important research significance. This paper first analyzes the macro environment and industry situation the tide play industry faces. Finally, to deal with the complex information of financial indicators, this paper establishes a stock scoring model that combines hierarchical and factor analysis with fundamental quantitative analysis. The factor analysis method is used to reduce the dimensionality of financial indicators. The hierarchical analysis method is applied to assign weights to each factor, and finally, the total score is derived. Taking the four listed companies that focus on upstream IP creation and operation among the tide play representative companies as an example, four stocks were selected and analyzed for financial indicators. It was concluded that Bubble Mart stock scored higher than Yuanlong Yatou higher than Gaolak stock higher than Aofei Entertainment. On the one hand, this study helps investors to look at the investment value of the tide play industry more rationally and helps the tide play industry to develop benignly; on the other hand, the establishment of this paper's model is helpful to scientifically deal with the complicated financial index information and enhance the universality of financet.
Research on the Strategy of Holding Olympic Games based on AHP and FCE
Authors: Wang Zhe
Published: May 2023

In view of the various negative impacts brought by hosting, fewer and fewer countries have shown their willingness to host in recent years The influence model of the index is established, and the influence of each index is calculated by the method of hierarchy process (AHP) and fuzzy comprehensive evaluation model (FCE), thus the feasibility evaluation model is constructed.Two strategies are put forward: the first strategy is to organize a fixed place and find that China is the most suitable country to implement the first strategy by using entropy weight method; The second strategy is to divide the seasons into different ones, and calculate that Greece is the host country of summer by TOPSIS method, and Japan is the most suitable country to host the Winter Olympics.
Wine quality prediction by several data mining classification models
Authors: Ye Kuancheng
Published: May 2023

People are living for a better life now, and since red wine is the symbol for a luxury life, there has been an increasing demand for good-quality red wine. Therefore, it’s essential to predict a reliable model of wine quality. This research develops a new wine quality prediction method based on the red wine data from UCI website. It focuses on using several data mining (DM) methods on various of features that are highly related to wine quality, including methods like support vector machine, random forest method, K-nearest-neighbor method and neutral network method. It also scales the data and uses PCA method to reduce data dimension and apply the methods above on the processed data respectively. By comparing properties (e.g., precision, recall, F1, error and AUC area of each model), it finally successfully predicts the most advanced classification model---the Neural network model working on the scaled data set. The model can be used to predict the taste preferences and can help producers to enhance the red wine taste and quality. Since the model eliminates the influence of unimportant features, it is more reliable. These results shed light on the evaluation during wine production.
Bigdata Technique Implementation in Bank Industry: Evidence from China
Authors: Zhao Yijie
Published: May 2023

With the continuous maturity and progress of cloud computing, intelligent tools, Internet of Things technology and other technologies, society has entered the era of big data, which is both a challenge and an opportunity for all traditional industries. As the pillar of national economy, the financial industry should comply with the trend of the time, comprehensively analyze the impact, use big data to analyze and mine effective information and reasonably apply it to the operation of banks. Finding the path of change is the key to foster the synchronous and long-term development of the banking industry in the new era. To achieve the aim of promoting the innovation and reform of the banking industry effectively, it’s necessary to dig the answers from the examples of big data application. This study introduces the basic concepts and analysis methods of big data, shows the typical application of big data in Chinese banks, mines the convergence between banking and big data, analyzes the existing problems of big data finance and puts forward solutions. In addition, this research looks forward to the future intelligent and regular big data technique implementation in the financial industry. Overall, these results shed light on guiding further exploration of the big data implementation in financial industry.
Big Data Analytics for Anti-Money Laundering Compliance in the Banking Industry
Authors: Jiao Mingyuan
Published: May 2023

The rapid growth of the digital economy and the complexity of financial transactions have led to a significant increase in money laundering activities, posing a problem that threating the global financial system. This study examines the use of big data techniques to strengthen anti-money laundering (AML) measures, specifically in the areas of suspicious activity reporting, customer due diligence, and trade-based money laundering. According to the analysis of these applications, it has been demonstrated that big data techniques can substantially strengthen the detection and prevention of money laundering activities by providing more accurate and timely insights, streamlining compliance processes, and facilitating cross-border collaboration among financial institutions and regulators. However, challenges related to data quality, privacy, security, and the need for continuous improvement to keep up with evolving money laundering schemes remain. Overall, this research highlights the importance of leveraging big data techniques in AML and their potential for combating money laundering, providing valuable insights and solutions for maintaining the integrity of the global financial system.
Linear Programming of The Los Angeles Olympics in 2028
Authors: Niu Changyue , Yao Gengzhu
Published: May 2023

As in 2028 in Los Angeles, the Games of XXXIV Olympia will be held, the sponsor of it is charging some companies to provide the food for all the athletes. In this essay, we assume that we are the employees in a company that is involved in this program. In order to get this opportunity, we, the authors, use the method of solution strategy in linear programming to analyze the whole program. By using it, we analyze the supply and nutrients and the profit we received. Finally we use our data analysis to make a conclusion for this Olympia Game.
Using Differential Equation to Explain the Simple Harmonic Motion Equation
Authors: Li Jiarui
Published: May 2023

It aims to explain the motion law of simple harmonic vibration in phase space with the complex part of differential equation. Introduce and enumerate differential equations, classify and discuss each case, and finally get the appropriate formula. Angular velocity, phase, displacement, time, amplitude, acceleration and trigonometric function are connected by equation solution. It explains the rationality of physics in phase space, and does not restrict the limited operation with real space. Using the knowledge of second order differential equation, the formula of angular velocity of simple harmonic motion is successfully proved. According to the equation of motion, Displacement is a cosine function with respect to time t; The velocity is a sine function with respect to time t; and the acceleration is a sine function with respect to time t of two angular velocity multiples. The emergence of differential equations is equivalent to opening up a new way for the scientific community, so many problems in other disciplines need to be solved and proved. Therefore, it is a very reasonable behavior to combine physics with this method.
Immersive narrative design in VR game
Authors: Li Linhai , Li Mingchong , Pan Dean
Published: May 2023

VR game is to simulate a false world and substitute the player's consciousness into the game to make the player feel more real. Compared with traditional games, VR game is freer. In order to provide a good immersive game, this paper develops a game called “Defer our homeland”. The purpose is to find out how to refine the details better, so as to improve the immersive experience of players. Therefore, we refined the details of background music, interaction design and scene respectively. In terms of background music, different from other games, the concert changes with the change of the plot. For example, the music is low and depressed at the beginning of the plot, and will gradually turn into passionate after the victory. In terms of scene design, considering some factors in the background story, in order to set off other details, the dilapidation degree of each map is different. As the map gets more and more dilapidated, the light will gradually dim. This means that the player is close to the boss. After players' feedback, the conclusion is that almost details of the game itself will affect the players' immersive experience. Especially in interactive design and background music, it is deeply praised and loved by players.
The Application of Poisson Distribution Model
Authors: Hou Yunjie , Zhang Junxiang
Published: May 2023

Poisson distribution, which provides the probability of events occurring in a settled time interval when events occur at a accurate average rate, is one of the most useful statistical distribution to solve many problems in the world today. In this paper, the definitions and properties of Poisson distribution are introduced. Besides, Poisson distribution is used to predict the household prices and infectious diseases. This prediction is supported by collecting the data and setting the Poisson distribution. Nonetheless, a direct experimental observation of the reviewing literature is lacking. The prediction of household’s prices in the future and the key periods in the infectious disease prevention are discussed by observing the characteristics of distribution of probability of infectious disease in peak period which suit the Poisson distribution. Then Poisson model is set to discuss. Our work can facilitate the study for the application of Poisson distribution in household prices and infectious disease.
Generalization of Cointegration Arbitrage Based on GARCH Model, Improved by Marginal Probability Distribution
Authors: Hou Zixu
Published: May 2023

As the Russia Ukraine War broke out in February, 2022, a series of international sanctions led to a panic among international hot moneys and slumps in global stock markets. For such a volatile market, hedging strategy is in a position to avoid risks. In finance, the correlation among financial derivative is always a topical issue and investors are concerned about the statistical methods to model the volatility. Recent years, the rapid development in data science makes it possible to record and manipulate massive data of financial derivative series, of which activates statistical arbitrage, a hedging strategy by pairs trading. The most widespread method in practice is cointegration arbitrage and many experiments show that it can always generate positive profits. This paper introduces the backgrounds of statistical arbitrage and relative definitions in cointegration arbitrage like time series, stationary, autocorrelation process, integration and cointegration. Based on the features of financial derivative series, this paper also illustrates error correction model, ARCH model and GARCH model. Finally, this paper shows the current strategy of cointegration arbitrage and raises some improvement by marginal probability distribution.
The Impact of Science and Technology Innovation on Carbon Emission Reduction Efficiency--Based on the input-output perspective
Authors: Xu Ruiyang
Published: May 2023

Using 30 provinces, municipalities and autonomous regions in China from 2013 to 2019 as the research objects, the dynamic benefits of emerging technologies and high technology on reducing carbon emission reduction efficiency was analyzed from the input-output perspective using the DEA-Malmquist method and by calculating the Malmquist index. Tobit regression analysis was also used to further investigate the factors influencing the differences in carbon emission reduction efficiency between different provinces and cities. The findings show that: i) science and technology innovation has a significant positive effect on reducing carbon emissions, and factors such as R&D funding have a positive effect on efficiency; ii) the regional tertiary industry share positively moderates this effect, while the regional Internet development level negatively moderates this effect. Finally, based on the results of the empirical study, we analyze the reasons for the changes of carbon emission reduction efficiency in each region and propose management suggestions to promote the improvement of carbon emission reduction efficiency.
Ecoregion Model Based on Fitting and Clustering
Authors: Yang Jiachen , Yang Lu , Shi Shilei
Published: May 2023

With the gradual restoration of Saihanba forest, the positive ecological impact of Saihanba on Beijing, Tianjin and other surrounding areas has become more and more obvious, such as water supply and sandstorm conditions have been improved to a considerable extent. In this paper, the environmental impact assessment model of Saihanba is established, the fitting equation of forest accumulation and growth is constructed, and nine three-level indicators are selected from three aspects of afforestation, water saving and atmospheric regulation, and are calculated by entropy weight method and TOPSIS method. Comprehensive score of ecological environment. At the same time, this paper builds an index system of Beijing's ability to resist sand and dust storms, and uses Spearman's correlation coefficient to analyze the correlation between Saihanba Forest Farm and Beijing's ability to resist sand and dust storms, and conduct a comprehensive evaluation of Beijing's dust-proof ability. The results show that with the restoration of Saihanba, Beijing's sandstorm defense capability has been improved. Secondly, this paper constructs a cluster analysis model based on carbon emission absorption rate, and uses regression fitting method to predict the carbon emission absorption rate of ecological regions in the next few years. The results show that by 2060, the establishment of ecological regions can achieve carbon neutrality in China. and target. And based on this model, the major cities in Vietnam are determined to determine the geographical location of the eco-regions, and the eco-protected areas are calculated according to the percentage of air quality improvement in each city.
Technologies and potential behind microbial fuel cells
Authors: Zhang Hongpeng , Chen Marco , Lu Ruoqian
Published: May 2023

The development of Microbial Fuel Cell (MFC) technology has progressed greatly in the past few decades to the point where it can now be considered viable in certain industries. MFCs are cells that utilize microorganisms as catalysts to transform wastes into electrical energy, this new type of bioenergy can generate energy as well as decompose the wastes produced from industries and daily life. This article provides an overview of MFC’s properties, factors influencing the performance of MFCs, recent applications and prospects of MFCs, and the advantages and weaknesses of MFCs. Biofouling and waste debris from reaction inside the cell as well as not suitable pH value will cause significant degrade in performance of MFCs, at the same time, magnetic field and environmental temperature can help improve MFCs’ performance if utilized properly. Compared to other bioenergy technologies, MFCs do not need intensive heat and the cost of reaction materials is extremely low, nevertheless, the low energy output, relatively short life span, and high cost of materials building MFC itself are still barriers challenging MFCs to be widely adopted. Recently, MFCs are utilized in various areas, they are available for both electricity and hydrogen production, and they can deal with waste treatment or bioremediation at the same time. This paper aims at finding solutions to the existing problems of MFCs and exploring a wider range of areas that MFCs can be utilized.
Numerical Simulation Analysis of Uniaxial Compression Damage of Reinforced Concrete Columns Based on ABAQUS
Authors: Xiao Han , Zhang Kezhen , Du Jiale
Published: May 2023

Reinforced concrete columns are widely used in construction projects and are mainly damaged by compression. In order to study the characteristics of the damage of reinforced concrete columns under uniaxial compression state, the uniaxial compression damage model of reinforced concrete columns is established by introducing the element deletion algorithm, concrete damage plasticity model (CDP) based on ABAQUS software. The results show that: (1) Under the load, the damage starts at the end of the specimen and expands to the middle, finally forming a through diagonal crack. The diagonal cracks are at 45° to the bottom surface. (2) At the beginning of load loading, the reinforcement has not yet reached the yield strength, and the restraining effect of the hoop on the concrete is not yet obvious. (3) With the increase of load, the hoop reinforcement and longitudinal reinforcement successively yielded. Local damage occurs in the concrete protective layer until the specimen fractures.
Research on Coordinated Development of Energy Internet and Energy Transition
Authors: Zhang Jun
Published: May 2023

This paper explores the coupling and coordinated relationship between the development of Energy Internet and Energy Transition. Based on the evaluation index system of coupling and coordinated development between the Energy Internet and Energy Transition, this paper analyzes and evaluates the relevant data of China from 2011 to 2020. The research results show that the comprehensive development evaluation value of the Energy Internet is higher than that of Energy Transition, and the development effect of the Energy Internet is better than that of the Energy Transition process. In the future, the comprehensive development evaluation value of the Energy Internet and Energy Transition will continue to rise, but the evaluation value of Energy Transition will fluctuate. In terms of coupling and coordination, from 2011 to 2020, the coupling degree and coordination degree of the Energy Internet and Energy Transition systems in China have shown a trend of fluctuating upward, but the fluctuation range is not large. It is expected that in the next decade, the Energy Internet and Energy Transition system in China will gradually enter a stage of coordinated development.
Research on the Path of Supply Chain Concentration Influencing Non-Efficiency Investment of Enterprises
Authors: He Huanhuan , Dai Yuting , Luo Yinyin
Published: May 2023

This paper selects relevant panel data of A-share listed enterprises from 2009 to 2021 to empirically test the impact of supply chain concentration on enterprises' inefficient investment, and deeply analyzes the specific impact mechanism. The research shows that the concentration of supply chain aggravates the overinvestment and underinvestment of enterprises, resulting in inefficient investment of enterprises. This conclusion is still valid after endogenous test and robustness test. Mechanism analysis shows that in the case of excessive investment, supply chain concentration exacerbates corporate financialization, reduces asset specificity, and leads to inefficient investment by enterprises; In the case of insufficient investment, supply chain concentration weakens corporate governance and reduces inventory turnover, leading to inefficient investment for enterprises. This inspires enterprises to increase their corporate governance capabilities, improve supply chain efficiency, promote rational asset allocation, and improve investment efficiency
Spatial Differences and Influencing Factors of Coupled Coordinated Development of Digital Economy and Green Economy
Authors: Bai Xingyu
Published: May 2023

The deep integration of digital economy and green economy has become an important support for high-quality economic development. In this paper, 41 cities in the Yangtze River Delta are taken as research objects. By constructing the coupling coordination model of digital economy and green economy, the spatial and temporal pattern of the coupling coordination between digital economy and green economy in the Yangtze River Delta from 2016 to 2020 and the state of their coordinated development are quantitatively measured. By constructing the random effects panel Tobit model, the influencing factors of the coupled and coordinated development of digital economy and green economy in the Yangtze River Delta region were studied. The results show that: (1) the overall coupling degree is in the high-level coupling stage, showing a trend of first increasing and then decreasing; Coupling coordination degree increases year by year and the overall coordination level is moderate. (2) The regions with high coupling degree and coupling coordination degree are more distributed in the provincial capital cities, the surrounding areas and the coastal areas of the Yangtze River Delta region, and there is a spatial agglomeration phenomenon, with great regional differences. (3) The improvement of foreign investment level, technological development level and environmental protection level has positive significance for coupling coordination degree. According to the above conclusions, the paper puts forward some suggestions to promote the coordinated development of digital economy and green economy in the Yangtze River Delta region.
Con gli occhi di D’Annunzio e Berenson: i viaggi paralleli di Anne MacDonell e Carlo Placci nell’Italia di mezzo
Authors: Pezzuto Luca
Published: May 2023

All'inizio del Novecento l'Abruzzo fu la meta di due viaggi paralleli, ma del tutto diversi: uno fu compiuto da Anne MacDonell, scrittrice e traduttrice inglese di vaglia, l'altro coinvolse Carlo Placci, mondano intellettuale e giornalista di fama internazionale. Entrambi lasciarono memoria scritta di quelle esperienze: la prima con un dettagliato resoconto odeporico pubblicato come volume illustrato nel 1908, il secondo con un ben più breve racconto che apparve inizialmente su «Il Marzocco» l’8 luglio 1906 e fu poi incluso due anni dopo nella raccolta In Automobile (1908). Partendo dai punti in comune tra l’autrice e lo scrittore – cronologia e luoghi descritti, contesto e riferimenti culturali a loro disposizione – il contributo intende offrire una prima riflessione su come gli evidenti fattori di diversità tra MacDonell e Placci abbiano influenzato i rispettivi racconti.
Sguardi della differenza: Anne MacDonell ed Estella Canziani nell’Italia di mezzo
Authors: Guarracino Serena
Published: May 2023

Il contributo offre una lettura trasversale di due scritture di viaggio ad opera di viaggiatrici inglesi che all’inizio del Novecento attraversarono le terre d’Abruzzo: In the Abruzzi di Anne McDonell (1908) e Through the Apennines and the Lands of the Abruzzi: Landscape and Peasant Life di Estella Canziani (1928). Partendo da una ricognizione della letteratura critica sulla scrittura odeporica femminile e del suo intreccio con le cornici metodologiche che hanno indagato il panorama immaginario del Sud Italia, margine del margine e simbolica zona d’ombra tra l’Europa e l’Africa, l’analisi si concentrerà soprattutto sulle differenze nella strutturazione della voce narrante e della posizionalità dello sguardo in questi due resoconti, per disinnescare il rischio di appiattire queste soggettività in uno stereotipo che non renda merito delle stratificazioni che queste due scrittrici mostrano nei rispettivi approcci al territorio abruzzese. Il contrappunto tra elementi retorici come il commento politico e l’ironia per MacDonell e il linguaggio etnografico e favolistico per Canziani permettono a chi legge oggi di confrontarsi con le complessità dei territori raccontati e delle comunità che li abitano; l’intersezione di questi due sguardi femminili contribuisce ad una rappresentazione decisamente sfumata, che mette in questione facili binarismi come civilizzato/primitivo o tradizione/modernità.
TATUAJES EN PAPEL
Authors: Strejilevich Nora
Published: May 2023

TATUAJES EN PAPEL
When a Liberal Use of Metaphor Is Really a Conservative One: The Case of Boris Johnson’s Televised Press Releases
Authors: Riboni Giorgia
Published: May 2023

The Covid-19 pandemic has generated a number of studies on the use of metaphor to frame the disease and the trope has been presented as a prominent feature of Covid-19 discourse. The metaphor of war has been identified as the master metaphor for framing the health emergency, prompting reflections about its possible drawbacks and feasible alternative framings in order to generate a more constructive stance among the general public, politicians and administrators.

Such studies largely refer to corpora drawn from heterogeneous sources, combining official statements with coverage in mainstream media, blogs and opinion pieces. The present study is based exclusively on a homogeneous single-genre corpus, namely the official Covid-19 announcements made by the former British Prime Minister Boris Johnson from the beginning of March 2020 to December of the same year.

Using automated interrogation routines, frequency and keyword functions were examined to define the extent and expose underlying patterns of metaphor use in this genre. The quantitative data was also subjected to qualitative analysis from the perspective of Extended Conceptual Metaphor Theory, which led to insights into contextual constraints and cultural facets of metaphor use in this genre.

The results obtained could be considered surprising. It emerged that Boris Johnson resorted to metaphor only sparingly in this genre. The results highlighted that, on the rare occasions when he did rely on this trope, his usage was very predictable and conventional. However, despite the low frequency and keyness of metaphor in his Covid-19 announcements, this rhetorical figure was seen to offer diverse resources and produce multiple effects, even when used so conservatively.
Il discorso napoletano nel diario narrativo di Mistero napoletano
Authors: Mondillo Mirko
Published: May 2023

Usando come modello il ‘discorso sul Capo di Buona Speranza’ di John Maxwell Coetzee, con la definizione di ‘discorso napoletano’ si intendono i riferimenti dell’autore alla città di Napoli e al suo ambiente socioculturale e il richiamo a temi e autori della letteratura napoletana, nei confronti dei quali la posizione assunta è di confronto/scontro.

Preliminarmente verranno affrontate la questione dell’esistenza di una letteratura napoletana e la circoscrizione di quest’ultima sulla base del criterio della napoletanità e della risposta dell’autore ad essa.

In secondo luogo, verranno circoscritti i temi e gli autori affrontati in Mistero napoletano per la definizione del suo ‘discorso napoletano’. Nello specifico si discuterà dell’assenza del dialetto e dell’impasto linguistico tra italiano e napoletano e verranno individuati gli autori di riferimento del suo ‘discorso napoletano’ (Anna Maria Ortese e Raffaele La Capria). Verranno discusse sia similarità e divergenze nei confronti di questi autori, dal punto di vista dell’arte scrittoria praticata e dal punto di vista delle posizioni assunte nei rispettivi discorsi napoletani (naturalistica, umanistica, materialistica).

Infine, si discuterà di come il ‘discorso napoletano’ di Mistero napoletano sia ‘munizionale’, ovvero di interesse tanto per un lettore municipale quanto per un lettore nazionale.
Rocco Coronato, Letteratura inglese. Da Beowulf a Brexit
Authors: Righetti Beatrice
Published: May 2023

Rocco Coronato, Letteratura inglese. Da Beowulf a Brexit (Milano, Le Monnier Università, 2022, 860 pp. ISBN 978-8800749770) di Beatrice Righetti
Giuseppe Caputo, Un mondo orfano
Authors: Cantoni Federico
Published: May 2023

Giuseppe Caputo, Un mondo orfano (Napoli, Polidoro Editore, 2023, pp.250, ISBN  978-888-5737-67-9) di Federico Cantoni