bluuebunny/crossref_metadata_2025 huggingface dataset:
Intra-Lesional Platelet Rich Plasma Injection vs Extracorporeal Shockwave Therapy for the Treatment of Chronic Resistant Plantar Fasciitis
Authors: Kumar Koduru Satya
Published: May 2023

Aims and Objectives a. The objective of this study is to evaluate and compare the role of two novel modalities: Intralesional PRP (Platelet Rich Plasma) injection and Extra Corporeal Shockwave Therapy (ESWT) in pain reduction in patients with chronic resistant plantar fasciitis. b. With the help of this study, both the treatment modalities are compared and evaluated as to which modality is better than the other to treat recalcitrant plantar fasciitis in order to facilitate to decrease morbidity in chronic resistant cases.
Research on the Influence of Green Patents on Regional Green Economy Development Level -- Based on An Entropy-Tobit Model
Authors: Chi Xiejian
Published: May 2023

The primary goal of today's high-quality economic development is to achieve the growth of green economic, and green patents play an important role in this. Based on panel data of 30 Chinese provinces from 2010 to 2019, this study constructed a framework of green economy development level indicators and used an entropy-Tobit model to empirically examine the impact of green patents on the green economy. The results show that (1) the level of green economy development in each province of China shows a time-series characteristic of rising, then retracting and finally stabilizing during the sample examination period. The cross-sectional gaps between regions are significant, with the eastern region having the highest level of development. (2) The green technology innovation represented by green patents has a significant contribution to the green economy. In addition, the technology market level, the R&D human input and the high-tech enterprises development level all have a positive impact on the development of green economy.
The nonlinear influence of education development on high economic quality in the Beijing-Tianjin-Hebei region
Authors: Men Hongting , Wang Guangyu , Zhou Qi
Published: May 2023

In this paper, we use panel data of 13 cities in the Beijing-Tianjin-Hebei region from 2012 to 2020 to analyses the economic level development adopting the entropy method, and then by a Tobit panel regression model to analyze the impact of education on the development of economic quality. It turns out that: (1) Relationship between education level and economic quality development in the Beijing-Tianjin-Hebei area is an inverted "U" shaped; (2) the overall distribution present a trend of rapid development of education and faster economic quality development in the Beijing-Tianjin region and slower development in the Hebei district; (3) finally, on the basis of the measured relationship between education and economic quality development , from the outcome of the modulation variables, the horizontal of transportation, the level of Internet advancement, the level of manufacturing employment on the level of economic mass development in the Beijing-Tianjin-Hebei region play a role in promoting. In view of the above, practical suggestions put forward to optimize the allocation of educational resources in the Beijing-Tianjin-Hebei region and to boost harmonized high-quality economic development.
An empirical study on employment behavior of college students in the post-epidemic era based on Herzberg's two -factor theory
Authors: Mo Qinan , Zeng Jingrong , Lin Junjie
Published: May 2023

The COVID-19 epidemic has had a profound impact on work in all walks of life. Many enterprises and units have changed their employment standards, which has greatly impacted the employment of college graduates. How to find a desirable job in the context of the new coronavirus epidemic is a major problem that college graduates must face. In order for the majority of students to better enter the society, combine the actual needs of college students in the post-epidemic era with the current stage of higher education, and cultivate practical talents that the post-epidemic society really needs, it is particularly important to investigate and study the values of employment of today's college students. Based on Herzberg's two-factor theory, entropy method and principal component analysis method, this paper conducts empirical analysis on the employment values of today's Chinese college students, and concludes that in the post-epidemic era, the emphasis on "health factors" is higher than that on "incentive factors" when choosing jobs.
Bank efficiency evaluation and bankruptcy analysis model
Authors: Zhang Lingqi
Published: May 2023

Banks play an important role in the economic and social development of a country, and bank failures can have numerous adverse effects on businesses and individuals. However, the frequency of international bank failures is so high that the analysis and prediction of the causes of international bank failures has received a lot of attention from many managers and academic researchers. This article selects data on 64 indicators of existing or failed banks in Poland from 2017 to 2021, and proposes a bank efficiency evaluation and bankruptcy analysis model in order to analyze the efficiency of bank failures in the context of studying the inputs and outputs of each bank, after which the five most important causes of failure are selected, based on which a failure risk prediction model is developed, through which representative banks are selected and specifically applied to other banks. Based on the principal component analysis method previously done, fuzzy component analysis was introduced for specific evaluation, while for the data of these banks to be used for the prediction of the risk of other banks, a banking system was created in this paper and a risk contagion model was introduced. Finally, specific calculations were performed for the time series model, and cluster analysis was performed using its residuals as the discriminant criterion to determine whether they came from the same bank. The research in this paper is more accurate in predicting the possibility of bank failures, and the approach used in this paper is more risk-averse than current techniques, minimizing losses from bank failures and providing more effective protection for citizens' property.
Multi-factor Stock Forecasting Model Based on Independence Criterion Weighted Bagging Algorithm
Authors: Sun Xinyi , Cai Wendi , Li Mengyu
Published: May 2023

Stock price prediction and the selection of important factors are a hot issue for statisticians. Machine learning methods need to ensure the prediction accuracy of the model in high-dimensional data scenes on the one hand, and the interpretability of the output of the prediction model on the other. If a single model is used for forecasting, it is easy to cause the problems of deviation and variance imbalance of the forecasting model (over-fitting and under-fitting). Based on this, we propose an interpretable forecasting model weighted bagging based on independence criterion. On the one hand, the proposed method solves the problem that a single model is easy to fall into over-fitting and under-fitting by using the idea of model averaging. On the other hand, when the sub-model is an interpretable machine learning method in Bagging framework, the proposed method can also output the weighted feature importance of each factor. In addition, the choice of independence criterion and sub-model is free. The actual data analysis shows that the proposed method has smaller prediction error compared with the comparison methods such as LASSO, ridge regression, random forest and XGBoost. The factor selection model under the minimum prediction error criterion will be more interpretable.
Research on an Integrated Intelligent Classification Algorithm Based on K-Means PCA-RF Machine Learning
Authors: Song Bingkun , Fan Wenxuan , Zhang Shuo
Published: May 2023

With the rapid development of machine learning and artificial intelligence, research on classification models is gradually becoming popular. This article aims to propose a general classification model and classify indicator features. First, this paper constructs the data preprocessing based on K-Means, and data dimensionality reduction based on PCA algorithm. Finally, random forest algorithm (RF) is used for feature classification, and 325 groups of data are used for training. The results show that: (1) The K-Means PCA-RF algorithm constructed in this paper has good robustness and classification performance. (2) K-Means PCA-RF can effectively classify features and perform sensitivity analysis.
A study on global warming based on time series prediction model
Authors: Zhang Yao
Published: May 2023

Global warming is a natural phenomenon that has been hotly discussed in recent years. The reason for this is that since the industrial revolution, human activities have become more frequent and the development of carbon resources has become more intense, leading to an increase in the concentration of greenhouse gases in the air every year [4]. In this paper, we preprocess the given data and then find the missing data ourselves to determine whether the temperature increase in March 2022 leads to a greater temperature increase than in the past decade. Then, we build a time series prediction model and an exponential smoothing model to describe the past and predict the future temperatures. With the help of these two models, we give specific temperatures for both models in 2050 and 2100 and predict the time when the global temperature reaches 20°C. Finally, the prediction accuracy of the two models is evaluated and compared.
Analysis of Differences and Correlation between Different Industries based on Stock Price Information
Authors: Hu Xinying , Ma Wenyang
Published: May 2023

Stock price fluctuation is the focus of people's life. Based on stock price information, this paper focuses on China's oil industry and its downstream industries (such as garment and textile industry, automobile industry and decoration and building materials industry) and makes a statistical analysis on their correlation. After the basic statistical description of the average performance of ten leading stocks in each industry in the past ten years, the factor analysis, linear regression analysis and weighted least square methods are adopted, and finally the conclusion is drawn: there is a strong correlation between the four selected industries, among which the correlation between petroleum energy and clothing and textile is the strongest; Perhaps due to the rise of new energy vehicles, the epidemic and other reasons, although the automobile industry and the decoration and building materials industry have always been able to better fit and have a strong correlation, but in recent years, the two and the oil industry to a certain extent. This result can provide reference for investors' investment direction and industry policy direction to some extent, and can also be used as a method and model to explore how other stock price information reflects industry information.
Comparison of the Cauchy Integral Formula and Residue Theorem on the Calculation of Definite Integrals
Authors: Yuan Mingyu
Published: May 2023

Integration is a useful mathematical tool which is applied in a wide range of studies and assists people to solve many problems. Despite methods of real analysis, complex integrations in complex analysis are more beneficial and more convenient than real integrations under certain circumstances. Cauchy’s Residue Theorem and Cauchy Integral Formula are two methods used to solve complex integrals. Cauchy’s Residue Theorem helps to solve complex integrals via the calculation involving singular points, whereas Cauchy Integral Formula is implemented to solve complex integrals by finding out poles enclosed by the contour. Herein, the comparison and analysis of the process of solving both real and complex integrations between Cauchy’s Residue Theorem and Cauchy Integral Formula are demonstrated through sample questions involving exponential integrations and polynomial integrations. This passage also includes definitions for Cauchy’s Residue Theorem, Cauchy Integral Formula, corollary of Cauchy Integral Formula, steps and solutions of sample contour integral questions.
The State-of-art Applications of Game Theory in Computer Science
Authors: Wu Jingzhen
Published: May 2023

From the ancient game theory thought to the increasingly advanced game theory, the concept of game theory has always played an important role in human development. Nowadays, computer technology has become increasingly mature, and there are many applications of game theory among them. This study will introduce the use of three game theories in computer science. Firstly, in the field of machine learning, game theory can model agent interactions, ultimately finding Nash equilibrium, and providing the best solution for each agent. Additionally, in network security, the application of game theory is also very common. Game theory can model the interaction of attackers and defenders, thereby obtaining the best strategy for defense systems for defenders. In the field of social networking, game theory can help community administrators predict user behavior, analyze data, and design better algorithms or mechanisms to help establish a more complete community and create a better environment for the community. Game theory is a powerful tool, and its application has created more powerful systems, not only making great contributions to the development of computer systems, but also playing a significant role in ensuring the information security of all the computer users.
Applications of Residue Theorem to Four Distinct Kinds of Definite Integrals
Authors: Li Yifeng , Wang Xuehui , Wang Xueying , Xiao Yichen
Published: May 2023

Cauchy’s residue theorem gives a relative general form for complex integral along a simple closed contour. With the help of Cauchy’s residue theorem, appropriate closed contour can be chosen to calculate some abnormal definite integrals that might be very complicated and are difficult to solve by conventional methods. This paper focuses on four distinct kinds of definite integrals, including the integrals involving sine and cosine functions, polynomial functions, exponential functions, and logarithmic functions. The contour chosen are basically a sector of circle that involves one or several isolated singularities of the function. Then the residue at the isolated singularities of the function is calculated. The value of the residues is substituted in the formula that is deducted in the Cauchy’s residue theorem. Then the integral along the simple closed contour can be expressed in two parts, in which one is along the real axis while the other is along the circle. This study demonstrates that the Cauchy’s residue theorem is superior to the conventional real analysis methods.
Application of Residue Theorem to Solve Several Representative Definite Integrals
Authors: Li Shixin
Published: May 2023

Complex analysis is a branch of mathematics that studies the properties and behavior of functions of complex variables, where a complex variable is a quantity that has both a real part and an imaginary part. Complex analysis is important in many areas of science, including physics, engineering, and computer science. The importance of complex analysis lies in its ability to solve problems that are difficult or impossible to solve using only real variables alone. For example, because of the complicated integrals involved, many problems in fluid mechanics, electromagnetism and quantum mechanics can be solved using complex analysis. This paper introduces an important theorem in complex analysis, which is the residue theorem. By applying the residue theorem, several types of integrals are transformed into integrals with complex variables, simplifying complexity and difficulty. With the help of examples, the application of the residue theorem is demonstrated. This paper contributes to extending the idea of integral calculation and facilitates the efficient solution of integral calculations in practical problems.
Investment study of gold and bitcoin based on time series forecasting models
Authors: Fan Hanwen , Yu Zhaoping , Wu Yufei
Published: May 2023

Since investment products are subject to many influences, there is a great deal of uncertainty about their direction. Therefore, people try to predict their price trends by various methods to develop their own investment strategies. We predict the movement of gold and bitcoin by building mathematical models and develop investment strategies to profit. We build a price prediction model for bitcoin and gold. Then, based on the price prediction model, we built an investment model that considers investment commissions, returns and risks to maximize investment returns. Finally, we evaluated the model and proved that the model provides the best investment strategy. Using this model, with an initial capital of $1,000, a gold trading rate of 1%, and a bitcoin trading rate of 2%, our mathematical model achieves an annual asset appreciation of over 250% for a final return of $103,191 over a five-year period starting on September 11, 2016 and ending on September 10, 2021.
Unveiling Several Intricate Integrals with Inverse Tangent Function
Authors: Xu Chao
Published: May 2023

Calculus is the study of successive transformations in mathematics. Calculus includes two parts: differentiation and integration. Using the basic theorem of calculus, differentiation can be transformed into integration. Calculus use the infinite sequence and infinite series to converge to define the basic definition of limits. Differentiation can be simply understood as instantaneous change or just the slope of a function. The integration can be simply defined as calculate the area under the function. Integrals are divided into definite integrals and indefinite integrals. In the following, the paper mainly studies some specific definite integrals which related to inverse tangent function, polynomial, and logarithmic function. Through the method of substitution, integration by parts, exchange of integral order, and triangular substitution, all the answers have a rule, which is the integral related to π. Therefore, it is interesting to unveil the possible general solution of these integrals.
Research Advanced in the Face Recognition
Authors: Liu Wenjie , Wang Xinyang
Published: May 2023

Face recognition has always been a research hotspot in the field of computer vision, whose basic task is to recognize the identity of the face in the image. With the rapid development of computer technology, both the accuracy and speed of face recognition have achieved great breakthroughs, and face recognition technology has been widely used in the field such as cyber security, artificial intelligence and so on. In this paper, based on detailed literature research and analysis, we present a comprehensive review of the research work on face recognition technology. Specifically, we first analyze the difficulty of face recognition task from the human face feature extraction, which due to the variations within and between classes. We then introduce the main frameworks of face recognition from geometric feature-based method, template based method and model-based method. We further compare the performance of different algorithms on different common datasets. Finally, we give an outlook on the future research directions of face recognition.
Research Advanced in the Recommendation Algorithms
Authors: Gong Yichen , Kang Shuhan , Song Yuxing
Published: May 2023

In this era of explosive growth of information resources, how to efficiently access the needed resources has become a problem for people. In response to the above practical application requirements, the recommendation system has gradually become a new research hotspot, whose basic task to provide users with efficient and accurate recommendations by modeling the historical behavior of users. In this paper, based on detailed literature research and analysis, we present a comprehensive review of the research work on recommendation technology. Specifically, we summarize three representative methods of recommender systems according to different design ideas, which mainly includes collaborative filtering recommendation algorithm, deep learning recommendation algorithm, and cross-domain recommendation algorithm. Then we analyze the respective advantages of different algorithms and give an outlook on the future research directions of recommendation system.
Dynamic assessment of forest assets based on ecosystem system
Authors: Chen Kaige , Wang Fei , Lu Xing long
Published: May 2023

Forests are crucial to mitigation efforts, especially for carbon sequestration, as climate change poses a growing global threat. Based on the Forestry for Carbon Sequestration problem, this paper established a model to estimate Carbon Sequestration. And about forest management plan, a series of value indicators are established. Finally, amount of carbon dioxide can be sequestered by forests and their products over time and the results of the forest man-agement plan model are given.
Research on the classification of light pollution risk in different regions based on K-means clustering and TOPSIS--Taking Hubei Province as an example
Authors: Dong Haosen , Chen Xiaoxuan
Published: May 2023

With the continuous development of the economy and technology, light pollution has become a new form of environmental pollution that affects human health and the ecosystem. This article aims to evaluate the level of local light pollution risk by using Principal Component Analysis (PCA) to identify 14 factors that affect the risk of light pollution, which are grouped into five categories. The Analytic Hierarchy Process (AHP) and entropy weight method are then applied to assign weights to each factor, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is used to obtain the evaluation results. Our collected data from Hubei province and used the K-means clustering method to categorize the results of the light pollution risk assessment into three levels: high, average, and low.
Characterization of the wind field in the Kuroshio extended body sea based on buoy observation
Authors: Ke Ming , Wang Boyuan
Published: May 2023

In this paper, we propose to combine the data from CKEO and KEO buoys and reanalysis data to study the prevailing wind types, temperature changes and carbon fluxes in the Kuroshio Extension in different seasons in recent years, in order to deepen our understanding of the physical and chemical environment and its evolution in the sea. In this paper, we analyze the characteristics of the wind field of the Kuroshio Extension using the CKEO buoy system at a fixed coordinate (149.25°E, 39°N) in the northwest Pacific Ocean, using four methods: wind speed and direction rose diagram, wind speed comparison line diagram, temperature comparison line diagram and carbon flux variation line diagram. Compared with the KEO buoy observation system, the CKEO buoy observation system provides high quality sea-air observation data in the Kuroshio Extension, which provides valuable information for the study of sea-air interaction in the Kuroshio Extension.
Challenges and Paths for Sustainable Development in China
Authors: Li Xingye , Liu Zhaoyu , Lu Yazhuo , Tu Shihan
Published: May 2023

With China announcing its dual carbon goals in 2020 and its promotion of sustainability policies in the 14th Five-Year Plan, sustainable development has become an increasingly important issue. In the context of sustainable development, China’s society has some defects in science and technology, policy governance, environmental governance and economic development, and the technology is not perfect. There are scientific and technological challenges such as renewable energy development and utilization; governance challenges such as international cooperation over climate issues and domestic regulations. In terms of the environment, China’s air, water resources, soil and physical pollution are still not optimistic. The economic problems in the context of sustainable development have different defects. Corresponding improvement measures to address such challenges have been suggested. For science and technology, developing and utilizing new energy through increasing the number of research and development (R&D) personnel and patents is important. Furthermore, completing the innovation of clean technology through updating technology and policy support is also a big issue. For political governance challenges, some analysts pointed that a shared knowledge platform helps with international cooperation, and non-state actors such as non-governmental organizations (NGOs) and businesses could contribute to domestic regulations. For environmental governance, air pollution is controlled through the development of carbon capture, utilization and storage (CCUS) technology, the control of soil pollution is achieved through ex-situ remediation and in-situ repair technology, the control of water pollution is achieved by developing microorganisms and other methods. For economic development, innovation, policy support, and financial framework are vital.
A study on the spatial and temporal evolution of carbon emission efficiency in China's provincial power industry
Authors: Qian Pengbo , Li Huanqi , Feng Shiyu
Published: May 2023

Promoting the low carbon development of the power industry is an essential path for China to achieve the “3060” dual carbon goal. This paper uses the SBM model and the Moran index to construct a carbon emission efficiency assessment system that meets the requirements of a high proportion of renewable energy access in China. The spatial and temporal evolution and correlation of the carbon emission efficiency of the power industry in 29 provinces in China were analyzed. The results show that the carbon efficiency of China's power industry has been increasing year by year since the 13th Five-Year Plan, and the overall pattern is that the periphery has led to the gradual development of the center, while the Yangtze River Delta and Northeast China show a clear spatial correlation, with prominent policy and technology spillovers. The results may provide scientific guidance for efficiency improvements in each region.
Study On Key Parameters of Fatigue Performance of Orthotropic Steel Bridge Deck
Authors: Kuang Siqin
Published: May 2023

In order to reduce the fatigue damage of steel bridge deck, fatigue design is very important. Taking the typical orthotropic steel bridge deck often used in design as the research object, the influence mechanism of different bridge deck structural parameters on fatigue performance was studied by nominal stress method. The results show that the fatigue performance of different fatigue hot spots is different. The most unfavorable fatigue hot spots are the arc notch of the diaphragm at the stiffener position and the weld junction between the diaphragm and the roof. Through reasonable optimization of structural parameters, the fatigue performance of bridge deck can be effectively improved.
Study On Identification of Construction Risk Pathways for Bridge Piers of Cross-Sea Bridges Based on FTA-BN Model
Authors: Gao Xiangyang , Li Hongxu , Zhang Zekai
Published: May 2023

In order to explore the risks associated with the construction of bridge piers for cross-sea bridges, this paper presents a comprehensive analysis from five dimensions and proposes a model for identifying construction branch paths for cross-sea bridges based on Fault Tree Analysis (FTA) and Bayesian Network (BN). The model analyses, diagnoses, and evaluates system risks by using FTA structural inference and BN bidirectional inference. The research findings show that the probability of cross-sea bridge pier construction risk occurring is 36.8% from the perspective of the overall system's risk. From a sensitivity perspective, unexpected accidents and other risk situations are the most sensitive and are likely to cause top events to occur, with the probabilities of two nodes occurring being 36.0% and 37.5%, respectively. From a contribution perspective, poor construction conditions have the greatest impact, and when this node is in the most dangerous state, the probability of top events occurring is the highest at 81%. Poor construction conditions, physiological and physical degradation, and financial factors all have a risk occurrence probability exceeding 50%, and are significant risk factors leading to the occurrence of cross-sea bridge pier construction.
Stability Analysis of a Simple-Supported Bridge with Steel Truss Structure Based on Abaqus Software
Authors: Qu Zhiyang , Tang Zhenxing , Zhou Yifeng
Published: May 2023

With the continuous development and improvement of modern bridge construction technology, the bridge based on steel structure materials has gradually become the mainstream. It is not difficult to find that steel structure has good comprehensive performance and significant advantages compared with other materials, so it can be widely used. In order to explore the stability of steel structure in different states, this paper selected steel truss bridge as the research object. At the same time, the structure of simply supported bridge is selected as the main analysis structure, by using Abaqus modeling software to establish a finite element model and to analyze the overall stability under the most unfavorable load. The analysis and integration of the finite element simulation results show that the stress of the truss under the most adverse load is concentrated in the upper chord. According to the horizontal displacement nebulae, the horizontal displacement of the lower chord is the most serious, and the node is also affected. This experiment can provide a certain reference for the actual design and construction of simply supported bridge with steel structure as the main, and can make a certain deal with the load situation mentioned in this paper.
The Indigenous Adaptation of Modern Chinese Church Universities: A Case Study of The Main Building of Fu Jen Catholic University
Authors: Zou Lin
Published: May 2023

At the end of the 19th century, many church cases occurred, which seriously affected Christian missionary activities in China and forced missionaries to think about the relationship between the Christian church and the people in China. After that, a movement for the indigenous adaptation of Christianity gradually emerged, with church schools becoming one of the main representatives of indigenisation. The Main Building of Fu Jen Catholic University, designed by Dom Adelbert Gresnigt, is a good example of the indigenous adaptation of the church university in this context. This paper analyses the design approach of the Main Building of Fu Jen Catholic University, extracts the embodiment of the Chinese traditional revival style and summarises the characteristics and reasons for the indigenous adaptation of the Main Building compared with other church university cases. The results show that the Main Building of Fu Jen Catholic University has features such as a traditional Chinese roof and decoration in the context of the Catholic indigenisation movement but is more conservative in design and plainer in colour than similar buildings. Gresnigt,  as both a priest and architect, designed Fu Jen Catholic University with a more Catholic character and religious atmosphere than other church universities.
Study of the Nonlinear Effects of Population Aging on Local Government Debt
Authors: Zheng Yufan , Cao Siya , Yin Lizhi , Wang Can
Published: May 2023

Along with the transformation of economic stage and the evolution of population structure, the local government debt problem brought by deep aging is an important proposition facing China's high-quality economic development. Based on the realistic background that China's population aging continues to deepen and the scale of local debts expands rapidly, this thesis systematically compares the impact mechanism of population aging on local government debts. Based on the provincial panel data from 2007-2021, the dynamic effects between the two are analyzed in depth based on the panel threshold regression model; finally, corresponding policy recommendations are proposed based on the research results and the actual situation in China, in order to effectively cope with the impact of population aging on local government debt in China.
A Systematic Review of the Transforming Leadership Literature and Future Outlook
Authors: Dong Bo
Published: May 2023

This paper presents a systematic review and synthesis of the literature on transformative leadership, examining its characteristics, dimensions, and impact on organizational transformation. This review presents an original synthesis of research progress, challenges, and future research directions in the transforming leadership domain. Despite significant advancements in the field, challenges persist, such as inconsistent measurement tools, establishing causal links between transformative leadership and successful transformation, and the need for research in diverse cultural settings. This paper highlights future research directions, including interdisciplinary approaches, practical applications, digital transformation contexts, and cross-cultural considerations. The rapidly evolving business landscape necessitates effective transformative leadership to navigate organizational changes and ensure success.
Has ESG Performance Reduced Stock Price Volatility
Authors: Xu Xiaoyu
Published: May 2023

In the context of sustainable development, it is of practical importance to study whether ESG performance can influence stock price volatility. This paper empirically analyzes the impact of corporate ESG performance on stock price volatility using a sample of A-share listed companies in Shanghai and Shenzhen, China, from 2011-2021. It is found that corporate ESG performance can significantly reduce stock price volatility, and this finding remains robust after controlling for sample selection bias, changing the measurement of key variables, and transforming the empirical model. Mechanistic tests suggest that analyst attention and corporate reputation are potential mechanisms of influence between ESG performance and stock price volatility. Further study finds that investor sentiment contributes to ESG performance in reducing stock price volatility. This paper provides operational evidence for ESG performance to play a positive screening role, stabilize stock markets and promote high-quality development of listed companies.
Analysis of the Historical Origin of Ancient Chinese Poetry and Art Songs
Authors: Hu Zhe
Published: May 2023

The successful combination of poetry and dynamic beauty in poetry and dynamic beauty in music often brings vitality to people with transcendent aesthetic enjoyment. Classical poetry is an important cultural treasure in ancient Chinese literature, and it also has a relatively broad cultural value in the context of the current era, and is a brilliant pearl of Chinese culture. Ancient Chinese poetry and art songs refer to a relatively unique form of music genre produced by taking the poetry of Chinese literati and scholars as the singing content, adding scores and soundtracks by composers, and skillfully integrating poetry, rhyme and vocal emotion. After thousands of years of development, Chinese modern art songs combine literary art and musical art, precipitating thousands of years of cultural connotations of the Chinese nation; It embodies the spiritual feelings of thousands of people and is an important part of the excellent traditional culture of the Chinese nation. It is not only a perfect combination of traditional culture and elegant art, but also the symbiotic link between poetry and music. It has been spread for thousands of years in the long river of literature and art of the Chinese nation for a long time, and has profound historical connotation and high research value.
Research on Ways to Enhance the Independent Innovation Capability of Enterprises
Authors: Yang Yufan , Zhou Haoran
Published: May 2023

China is in the context of a transition economy, facing increasingly fierce competition, and the role of independent innovation in enhancing the core competitiveness of enterprises has become increasingly prominent. This study reviews the concept, antecedents, evaluation indexes and improvement strategies of the independent innovation capability of enterprises through a review of related domestic literature.
The Impact of ESG Information Disclosure Mechanism on the Green Development of China's Banking Industry
Authors: Wu Fangyuan , Wu Ruoying , Tao Yijie , Chen Yi
Published: May 2023

Practice ESG information disclosure is of great significance to promote green development of China's banking industry and achieve our country's double carbon goal. Firstly, based on the realistic background of the steady progress of ESG information disclosure and the green development of China's banking industry, the paper systematically combs the mechanism of the influence of ESG information disclosure on the green development of China's banking industry. Then, through correlation analysis, multiple linear regression analysis, structural equation model and other data analysis methods, explore the influence factors of ESG information disclosure on the green development of the four banks and their influence strength. Finally, it puts forward some feasible suggestions based on the research results and the actual situation to help our country achieve the Carbon peaking and carbon neutrality goals.
Research on the Utilization of Solid Waste Resources in China's Construction Industry from a Market-Oriented Perspective
Authors: Zhang Rongjie , Wei Mingzhen , Zhang Xinyu
Published: May 2023

This article analyzes the current situation of solid waste resource utilization in China's construction industry from a market-oriented perspective, and explores the promoting role of market mechanisms in the utilization of solid waste resources in construction. Through the analysis of the amount of solid waste generated, disposal methods, and the level of resource utilization in the construction industry in China, it is found that there are problems such as low resource recovery efficiency and imperfect market mechanisms in the current utilization of solid waste resources. Therefore, this article proposes a series of suggestions to promote the utilization of solid waste resources, including the formulation of sound policies and regulations, strengthening market supervision, and nurturing market entities. At the same time, this article also looks forward to the future development of the market for the utilization of solid waste resources in construction, believing that with the continuous improvement of policies and regulations and the soundness of market mechanisms, the market for the utilization of solid waste resources will usher in broader development space.
A Review of Food Manufacturing Companies' Selection Toward Green Suppliers
Authors: Zhao Zixiao
Published: May 2023

The issue of supplier selection is one of the main branches in the field of supply chain management. Finding qualified suppliers and forming long-term, in-depth relationships with them is a strategic issue. Companies in the food industry face particular sustainability challenges in terms of natural resource supply and consumption, food safety, waste management, and unfair trade relations, and consumers and other stakeholders often have the most demanding requirements for sustainability in this industry. This paper summarizes the gaps in existing research on supplier selection in the food industry through a systematic literature review to inform the direction of future research.
Returning to Tribalization: Local Innovations in Health Communication Narrative Strategies and Action Mechanisms
Authors: Wang Xueqing
Published: May 2023

Health communication refers to the formation of behavioural norms and values of an organisational nature or with a certain degree of influence in the production of cultural products through the participation of individuals, groups and societies. This paper explores the practical use of narrative in health communication and discusses local innovative strategies for health communication narrative strategies and action mechanisms.
“And the landscape possesses every beauty and variety”: Narrating the Marche through Margaret Collier’s Unconventional Gaze
Authors: Tempestoso Carla
Published: May 2023

Our Home by the Adriatic (1886) by Margaret Collier is a travel book which provides historical, social and cultural knowledge about the people, spaces and places of the Italian region of the Marche. Collier’s marriage to a former Garibaldian officer was the occasion for her move to Italy, where her need to write developed as something different from that of a tourist. Indeed, her topographical writing was spurred by her desire to prove that women were capable of traveling and writing (Mangani), and to undermine the stereotype of the woman who “[…] could not write so well; [if she did] it was her brother’s, no doubt” (Battestin 380-381). Beyond the gender dimension, the essay will survey how Collier’s travel writing depicts through its anthropological approach both the lights and the shadows of the Marche, and how the portrayal of the region itself proves to be crucial to her understanding of place and perception of space.
A Portrait of the Artist as a Woman on the Threshold: Patterns of Liminality and Communitas in Giovanna Capone’s In My Neighborhood
Authors: Di Maio Cristina
Published: May 2023

This contribution carries out a spatial analysis of the short stories and poems collected in Giovanna Capone’s In My Neighborhood (2014), with a twofold aim: exploring the significance of physical and metaphorical liminalities in the development of Capone’s poetics and, on a more theoretical level, outlining an alternative paradigm, based on the concepts of liminality and communitas, to read Capone’s poetry, as well as other contemporary Italian-American literary texts. I identify four sites of liminality in Capone’s work and delve into their relationship with the narrative voice and the role they play in its evolution. This essay reflects on Giovanna Capone’s Bildung and her identity as a queer Italian-American author by re-reading the four spaces described in In My Neighborhood through the lens of Victor Turner’s theory of liminality and Roberto Esposito’s notion of communitas. Esposito’s development of the concept allows for an alternative interpretation of the community of Italian American queer subjectivities created by Capone in the Southwest. Finally, the connection of such community with Gloria Anzaldúa’s formulation of Borderland and ‘mestiza consciousness’ is highlighted as a theoretical counternarrative to the identification of the ethnic queer self as a member of a community defined by borders.
Laurie Ruth Johnson (ed.), Germany from the Outside. Rethinking German Cultural History in an Age of Displacement
Authors: Goggio Alessandra
Published: May 2023

Laurie Ruth Johnson (ed.), Germany from the Outside.  Rethinking German Cultural History in an Age of Displacement (New York, Bloomsbury, 2022, 368 pp. ISBN 978-501-375-903) by Alessandra Goggio
Lo sguardo delle viaggiatrici sull’“Italia di mezzo”: scrittrici, fotografe, artiste tra Otto e Novecento
Authors: Giuseppe Di Natale (a cura di) , Serena Guarracino (a cura di) , Luca Pezzuto (a cura di)
Published: May 2023

Editoriale/Editorial/Éditorial/Editorial
Prosopographia Ponti Euxini. Dionysopolis
Authors: Pázsint Annamária-Izabella ,   Universitatea Babeș-Bolyai, Cluj-Napoca
Published: May 2023

This article presents the results of a work in progress research, respectively a prosopography on the population attested in the Greek cities of the Black Sea and Propontis (Prosopographia Ponti Euxini), focusing in this case (based on the epigraphic sources) on the population of Dionysopolis. As such, the paper will focus on the epigraphically attested quantitative data on the population of Dionysopolis, and on the qualitative data, covering the period between the first epigraphic attestations and up to the 3rd century AD. The work includes a prosopographical catalogue with the epigraphically attested population.
Unguentaria in pre-Roman Dacia. Finds from Cetăţeni
Authors: Măndescu Dragoș ,   Muzeul Județean ArgeșMuzeul Județean Argeș, Popescu Mariana-Cristina ,   Muzeul Național de Istorie a Transilvaniei
Published: May 2023

Various products from Asia Minor and Pontus reached the Geto-Dacian settlements north of the Lower Danube mainly from the 2nd century BC until the very beginning of the 2nd century AD. They are reflected in the archaeological discoveries especially through pottery (West Slope, Hadra/Lagynoi wares, Megarian Bowls, Appliqué wares, Lead Glazed ware, grey ware, Pergamene Sigillata, Eastern Sigillata B and Pontic Sigillata); amphorae from Rhodes, Thasos, Cnidus, Kos, Sinope, Heraclea Pontica, or Chersonesus; Pergamenian and Ephesian lamps and glass vessels made by various techniques (core made, mould or free blown, sagging, cut-faceted or splashed made). Following the excavations conducted between 2002-2004 in the Late Iron Age settlement at Cetăţeni (Argeș County, Romania), a pit containing autochthonous handmade and wheel thrown pottery, fragments of amphorae, a cylindrical glass bead and also an unguentarium fragment were discovered. From the chronological point of view of this sealed archaeological context is of great relevance for the settlement. The discovery allows us to make some observations concerning import and use of perfumes and aromatic oils north of the Lower Danube, in the Barbaricum, before the making of the new Roman province of Dacia.
Stamps of the Legio V Macedonica from Potaissa. The old collections of the Turda History Museum
Authors: Nemeti Sorin ,   Universitatea Babeș-Bolyai, Cluj-Napoca
Published: May 2023

The tegular material produced by the Fifth Macedonian Legion during its stationing at Potaissa (Turda, Cluj County) is stamped with a wide variety of signacula containing the name of the legion in abbreviated form. In order to establish the complete repertory of signacula and to verify the old typologies we have taken up the old finds that have entered into the collections of the Turda History Museum before the beginning of the systematic excavations in the fortress of the Fifth Macedonian Legion in 1971. We are thus able to identify some of the stamps previously located in the István Téglás collection, but also a series of stamps resulting from Ioan Țigăra’s investigations in Turda and its surroundings or acquired by the Turda Museum from various private individuals. In the following, we want to present them as archaeological artifacts, integrating them into the already created typology and emphasizing the importance of new variants.
A Study of Microaggression and its Psychological and Physiological Effects on Individuals from Marginalised Communities
Authors: Khalid Muhammad Nauman
Published: May 2023

The psychological and physiological well-being of people is affected by an extensive range of circumstances. Although a single microaggression might appear innocuous, a lifetime of them can have a serious negative impact on someone's mental health. The research on microaggression and its psychological and physical impacts on people from marginalized communities in healthcare is reported in this publication. Two villages on AI reservations are involved in this community-based participatory study initiative. 130 adults participated in written surveys and interviews to gather data. More than one-third of the sample said they have come across a microaggression while interacting with their medical professionals. The self-reported histories of heart attacks, worse depressed symptoms, drug abuse, suicide cases, and preceding year hospitalization were all associated with complaints of microaggressions. In multivariate models, the connection between microaggressions and hospitalization (but just not a previous heart attack) seemed to be partially explained by assessments of depressive and drug abuse symptoms. In this research, microaggressions were linked to worse emotional and physiological health evaluations for Pakistani people living with a disease, undermining the principles of patient-centered care. Clinicians need to be aware of these subtly discriminatory behaviors, which are frequently unintentional.