bluuebunny/crossref_metadata_2025 huggingface dataset:
Sociological Explanation of the Impact of Media on Health Socialization and Economic Development
Authors: Zarei Hamid , Sayyedi Farank , Navabakhsh Farzad
Published: August 2024

Health and development are crucial indicators of societal progress, and addressing these issues is a priority for all societies. Accordingly, the present study aimed to explain and sociologically analyze the impact of media on health socialization and economic development among the citizens of Doroud. This research is applied in terms of its goal and descriptive-survey in terms of its method. The statistical population included the citizens of Doroud, with a sample size of 768 determined using Cochran's formula. The research tool was a questionnaire, whose validity and reliability were assessed. The findings of the research indicated a significant relationship between media institution performance, media content, and media consumption with the variable of health socialization. Additionally, there is a significant relationship between the variable of health socialization and economic development and its dimensions, including (per capita income, purchasing power parity, sustainable income, human development, poverty, and unemployment). It can be concluded that media, as one of the most important social fields, can improve the context for enhancing health and well-being. Therefore, it is crucial to target health planning by responsible and related institutions in the media sector to involve various social classes in raising the cultural, social, and economic levels of urban households.
Comparative Analysis of Job Satisfaction of Public and Private University Teachers, A case of an emerging Economy
Authors: Fatima Noor , Khan Muhammad Zaheer , Subhan Sabahat
Published: August 2024

It has empirically been proved that teacher job satisfaction is an important measure of school efficacy which enhances student achievement. The objective of this study is to identify and compare different factors that contribute to the levels of job satisfaction among the private and public sector university employees. A sample size of 158, conveniently selected, included teachers of private sector universities and public sector universities, located in Islamabad and Rawalpindi. Descriptive statistics, t-test, and One Way Variance Analysis (ANOVA) were used to analyze the data. It is concluded that public sector university teachers are more satisfied with the factors of autonomy, social status, recognition, social service, ability utilization, achievement, job security and relationship with their colleagues where as private sector university teachers are more satisfied with aspects of variety, responsibility, creativity, advancement, university policies, working conditions and compensation policies of their job. Significant mean difference was found between the overall job satisfaction of public and private sector university teachers; however private sector teachers are more satisfied with the overall job satisfaction. The mean difference among all the factors affecting job satisfaction of public and private sector university teachers is significant except those of the variety and achievement factors and factor concerning the relationship with their supervisor. Job security is the most important factor contributing to job satisfaction for public-sector teachers, whereas compensation is the most important factor for university teachers in the private sector. This suggests that, despite higher pay, private sector teachers lack the job security that public sector teachers have because of their permanent positions. To improve job satisfaction, private universities should consider implementing policies that provide permanent employment for their faculty. On the other hand, public universities should increase their compensation packages.
Media Guidance and Shaping of Public Opinion: Mechanisms, Ethics and Influences
Authors: Wang Yichen
Published: August 2024

The paper analyzed the role of media in guiding and shaping public opinion and its ethical issues through literature review. The results show that media should take into account many ethical factors in addition to conveying information when guiding public opinion. The first is the responsibility of the media, which is not only the accuracy of information, but also how the media balances commercial interests with the public interest, how they deal with sensitive or controversial issues, how they deal with different views and positions. Accountability is another important ethical consideration. Accountability helps ensure that the media does not abuse its power to guide public opinion and avoids bias and partisanship that mislead the public. At the same time, accountability can encourage the media to handle sensitive issues more carefully and maintain professional and ethical standards. When guiding public opinion, the media should fully consider the ethical factors, not only to achieve objective and fair information dissemination, but also to assume due social responsibilities. When the media guide public opinion, manipulation and freedom of speech are two ethical considerations that cannot be ignored. Manipulation occurs when the media influences public perceptions and attitudes through specific reporting angles, language, or content choices.
Exploring Failures and Possible Remedies in AI and Human Translation of English Idioms
Authors: Li Tianyao
Published: August 2024

This paper explores the characteristics, similarities and differences between Chinese EFL students and AI when translating English idioms into Chinese. Based on the data collected from the questionnaire on English idioms in English-Chinese translation by Chinese EFL students and AIs, the distribution of human and AI translation accuracies and the focus of translation were analysed using the stereotyped heterogeneous ratio. The results of the survey showed these points: the overall accuracy of translations of Chinese EFL students is lower than that of AI, and the distribution of human translation accuracy among all categories of English idiom was similar to AI translation accuracy; Chinese EFL students tend to retain the form of the proverbs, while AI translators tend to translate the exact meaning; and AI is not able to fully utilise the context to facilitate the understanding of proverbs in the same way as human beings do. Based on the results, this paper expects to provide a reference for future research in this domain.
The Impact of China's Direct Investment in Countries along the Belt and Road Initiative
Authors: Luo Jingzhou
Published: August 2024

This article discusses the impact of China's direct investment in the countries surrounding the route on the international political environment on the basis of the road and highway strategy. Research shows that China's massive investment projects in the road and highway sector have promoted economic cooperation and development in the region and have a significant impact on the global political environment. China's direct investment has led to changes in the political environment and economic conditions of the countries along the ROW, expanding the economic relationship between these countries and China and changing the regional balance of power to some extent. The economic and infrastructural development brought by investment activities has provided a better internationalization path in the international arena, challenged the traditional dominance of the US dollar, and promoted the development of a diversified financial system. China's capital is changing China's international political environment A Western-oriented and different climate not only affects foreign relations, but also poses new demands and challenges for global governance. The final section emphasizes that China's road strategy is to build a new international political and economic order through direct investment. This process brings opportunities and challenges and requires all parties to respond to the emerging political and economic changes.
The Effect of China's Monetary Policy on Financial Constraints of New Energy Vehicle Companies -- Panel Regression Model based on the SA Index and LPR
Authors: Wang Hengnuo
Published: August 2024

China's industrial policy to promote the development of the new energy vehicle industry has achieved remarkable success and has also been studied by many scholars. However, its fiscal policy has received more attention, and monetary policy is generally only mentioned together with fiscal policy, rarely studied separately. Therefore, this paper uses the Size Age (SA) index to measure the level of financial constraints that companies face and uses a panel regression model to analyze the impact of China's monetary policy on the financial constraints of new energy vehicle companies. This paper finds that traditional monetary policy tools represented by Loan Prime Rate (LPR) and several types of structural monetary policy tools have a significant effect on easing the financial constraints of China's new energy vehicle companies. Moreover, the two types of policies have formed a good synergy. Therefore, this paper recommends: In the current situation where China's monetary policy is loose while the US' monetary policy is tight, the current market interest rate level should be maintained or cautiously lowered; at the same time, the role of structural monetary policy tools should be played more actively and accurately to promote the development of China's new energy vehicle industry.
A study of the impact of extreme weather events on property insurance based on ARIMA time series model and SVM classifier
Authors: Lei Qiyu
Published: August 2024

The thesis aims to tackle the challenges posed by the frequency of extreme weather events globally to the property insurance industry. The essay effectively predicts the frequency of extreme weather events and their economic impact on the insurance industry by developing an integrated analytical framework that combines insurance and coverage models. Firstly, an ARIMA time series model was used to forecast future extreme weather events and combined with the Spearman correlation coefficient (SCC) to quantify the relationship between insurance company revenues and socio-economic factors in the insured region, which were used as inputs to a support vector machine (SVM) classification model to assess risk and determine the amount of insurance coverage. In addition, the variables affecting decision-making were adjusted by the entropy weight method to further enhance the accuracy and usefulness of the model. The results of the study show that the constructed model has a high accuracy of 95% in predicting extreme weather events and their impact on the insurance industry, providing a powerful risk management and resource allocation tool for insurance companies, and helping to improve the resilience of property and the overall resilience of the insurance industry.
Analysis of the Application of Artificial Intelligence Technology in the Field of International Trade
Authors: Li Penghua
Published: August 2024

With the rapid development of artificial intelligence technology, its application in the field of international trade has gradually become a hot spot for research. The purpose of this paper is to analyze in depth the prospects for the application of AI technology in international trade and to explore the opportunities it brings to international trade as well as the challenges it faces. Firstly, this paper reviews the development status of international trade and the latest progress in artificial intelligence technology to provide a background for the study. Subsequently, through the construction of a theoretical framework and the application of an integrated research methodology, the specific applications of AI in international trade are analyzed in detail, including smart contracts, data analytics, automated processes, and its role in logistics and supply chain management. Further, the paper discusses the positive impacts of AI technology applications, such as improved transaction efficiency, cost reduction, and enhanced market forecasting capabilities, while also pointing out the accompanying challenges, such as technological barriers, adaptation of laws and regulations, talent requirements, and data security. Through case studies, the paper demonstrates the effects and lessons learned from the application of AI technology in actual international trade. Finally, the paper summarizes the research findings, makes recommendations for future applications of AI technology in international trade, and explores directions for subsequent research. This study aims to provide some insights into the application of AI technology in the field of international trade as well as usable references for future development.
Research on the Impact of Artificial Intelligence on International Trade —— Taking Alibaba International Station's Foreign Trade AI as an Example
Authors: Piao Yixin
Published: August 2024

This article delves into the profound impact of artificial intelligence (AI) on international trade. By reviewing the historical evolution of AI and its related policy frameworks, this research gained a clear understanding of its potential applications in international trade. Subsequently, by examining the shortcomings of traditional trade models and the evolving global economic landscape, this paper analyzes the unique advantages of AI in enhancing trade efficiency and optimizing trade structures. Taking the AI-powered foreign trade platform of Alibaba International Station as a case study, this article dissects its internal driving forces and the external factors that facilitate its development. Through an in-depth examination of its operational model, it leverages intelligent technologies to streamline trade processes, reduce costs, and introduce its primary functions and practical applications in international trade. Furthermore, this paper explores both the benefits and challenges of integrating AI into international trade, offering guidance for newcomers in the foreign trade industry on incorporating AI into their business practices. This includes advice on technology, talent development, and strategic planning.
A Study on the Existentialist Perspective to Analyze the Need for Pure Existence in Life
Authors: Zhang Ruimeng
Published: August 2024

Forrest Gump is a movie full of life philosophy, telling the story of Forrest Gump, a small town boy with congenitally intellectual disabilities, who just purely experiences life at his own pace, and creates legends in multiple fields. By comparing the protagonist's innate intellectual disability with his legendary life experiences, it has triggered people's contemplation of several concepts including the purity, existence, sinking, "ordinary people", and death of life from an existentialist perspective. Sequently, based on Heidegger's existentialism, thinking about the purity, being, sinking, "ordinary people" and death of life, the author draws three conclusions. The first one is primarily associated with purity pointing out that people should "live a pure life" like Gump. The second one is mainly related to existence, which concludes that being is "to be", "to become" and "to exist". The last one is about sinking, “ordinary people” and death, illustrating that if someone wants to understand the essence of life, then he must go to death initially.
Prediction of Depression Index Based on LSTM and CNN
Authors: Li Yi , Cai Zida , Wang Jingyi
Published: August 2024

In recent years, with the increase of social pressure and the acceleration of life pace, the incidence of depression has shown a rising trend, which makes the prevention, intervention and treatment of depression research is particularly important. At the same time, depression index is an important index used to measure and evaluate the degree of individual depression. In this paper, the MADRS scores corresponding to Montgomery Depression Scale were studied as depression index. In this paper, a depression index prediction model based on long short-term memory neural network (LSTM) and convolutional neural network (CNN) was established by collecting the data of several depressed patients in a hospital. The results show that the model has good predictive ability and stability, which can make a real-time judgment of depression in clinic and improve the efficiency of medical department.
Innovative Insurance and Profit Modeling: Integrating ARIMA and LSTM for Risk Assessment and Profit Maximization Strategies
Authors: Yuan Meng , Zou Zihao , Chang Shuhao
Published: August 2024

This research presents an innovative approach to insurance and profit modeling by integrating ARIMA (AutoRegressive Integrated Moving Average) and LSTM (Long Short-Term Memory) techniques for risk assessment and profit maximization in the insurance industry. The study initially establishes sub-models focusing on income modes and loss modes, utilizing historical data and risk factors to calculate potential profits and losses. Through the development of a profit model based on nonlinear programming, the study aims to optimize costs associated with natural disaster claims while maximizing profitability. Leveraging machine learning techniques, particularly LSTM, the research refines time series models to predict and mitigate risks more accurately. The findings emphasize the importance of geographical variations and timely underwriting decisions for insurance companies to ensure business stability and sustainable growth amidst evolving risk landscapes.
The Connotations and Significance of Cross-Cultural Identity Theory in a Multicultural Context
Authors: Cai Yuqiao
Published: August 2024

With the deepening pace of economic globalization, multiculturalism has gradually become a distinctive feature of contemporary society, directly impacting and altering the global cultural landscape. Against this backdrop, the collision and integration of different cultures have become the norm, bringing rich cultural experiences while facing unprecedented challenges. How to achieve mutual cultural identification in a multicultural environment has emerged as a pressing new issue. Research on cross-cultural identity not only focuses on cultural differences and conflicts but also emphasizes finding common ground amidst these differences and seeking reconciliation and coexistence through conflicts. The essence of cross-cultural identity is rich and profound, demanding that we actively seek cultural exchange and integration on the basis of respecting cultural diversity, forming an open, inclusive, and mutually enlightening cultural attitude. Therefore, it is crucial to deeply study and explore the connotations and mechanisms of cross-cultural identity, continuously enhance individual cross-cultural adaptability, and promote intercultural exchange and integration. Only in this way can we achieve mutual cultural identification in a multicultural world and jointly build a harmonious, inclusive, and prosperous world.
Negative Transfer of Mother Tongue in Chinese-English Translation: A Case Study of Fortress Besieged and Memories of Peking: South Side Stories
Authors: Chen Yanqiao
Published: August 2024

In the field of negative language transfer, most studies have focused on students' daily translation exercises, with relatively fewer investigations into literary translation. However, this paper aims to analyze the phenomenon of negative language transfer in Chinese-English translation, mainly focusing on its impact on tense expression and connection methods. Through analysis of examples from literary works (Fortress Besieged and Memories of Peking: South Side Stories), the essay demonstrates how linguistic features unique to Chinese, such as reliance on time adverbials and omission of connectives, can lead to errors in English translation due to negative transfer. The research also highlights the importance of linguistic proficiency, cultural understanding, and awareness of linguistic disparities in facilitating accurate and culturally appropriate translations and gives some related suggestions for better translation. This paper addresses the gap that exists in the negative language transfer field by carefully analyzing literary translation, contributing to a more comprehensive understanding of negative language transfer in translation practices.
Emerging Technologies in Digital Museums: A Literature Review of Educational Application and Evaluation Methods
Authors: Yan Lanye
Published: August 2024

The rapid evolution of emerging technologies is fundamentally reshaping the educational landscape, with digital museums emerging as pivotal agents of educational innovation and progressively assuming vital roles in student learning. Through a systematic literature review, this study delves into the intricate relationship between new technologies and learning within digital museum contexts, along with the consequential impact of digital museums on student learning within the educational domain—an area of significant scholarly interest. The convergence of emerging technologies and the modernization of museum learning is increasingly ubiquitous, now integral to formal education. Initially, this paper scrutinizes the nexus between emerging technologies and the modernization of museum learning. Museums, revered as custodians of tradition and culture, are embracing digital media as conduits for transmitting cultural heritage and traditional knowledge to the younger generation. The application of emerging technologies heralds transformative possibilities for museum learning; for instance, Augmented Reality (AR) and Virtual Reality (VR) technologies afford students immersive experiences within historical settings or artifact displays, while big data analytics furnish museums with deeper insights into visitor behavior and enable personalized learning experiences. Furthermore, it expounds upon the tangible impacts of integrating digital museums with student learning activities. Technological innovations in digital museums not only enrich students' learning encounters but also cultivate their autonomy and spirit of inquiry. Through digital exhibits and interactive learning engagements, students gain profound insights into subjects such as historical cultures and scientific phenomena, thereby amplifying their engagement and efficacy in learning. This paper endeavors to meticulously screen literature, unraveling the emerging technological applications in digital museums and their integration with student learning activities.
A Review of Researches on Employee's Trait Mindfulness
Authors: Yu Mengtong
Published: August 2024

Mindfulness is an ancient concept derived from eastern Buddhism. Mindfulness is defined as "an acceptable attention and awareness of current events and experiences" in workplace studies. In recent years, western empirical studies have found that mindfulness has a positive impact on workplace employees' organizational citizenship behavior, work performance, etc. Mindfulness training has been applied in some well-known companies and received favorable comments from employees. Mindfulness research has great potential in the future in the workplace. However, this kind of research has not attracted much attention in China.Based on the existing research results abroad, this paper introduces the origin, concept and measurement of mindfulness. Then from the antecedent variables, outcome variables and mindfulness as moderating variables, the empirical research and theoretical exploration results of workplace mindfulness are summarized. On this basis, the framework chart of the existing research results is constructed, and the research prospects are put forward for the deficiencies in antecedent variables, outcome variables, moderating effect, measurement and research methods, and localization research.
The Competitive Strategy of the Video-Sharing Platform ---A Case Study of Youtube
Authors: Lai Yifei
Published: August 2024

Nowadays, with the development of the Internet, video-sharing platforms have become increasingly important in the entertainment lives of the modern generation. As the largest video platform in the world, YouTube has dominated the market due to its unique competitive strategies, which provide a significant reference value for other video platforms in the industry. Some researchers have analyzed the various competitive strategies of video platforms in different aspects, but there is still a research gap in the specific analysis of YouTube as a case study for investigating the competitive strategies in the video platform industry. This essay reveals the competitive advantages and strategies of YouTube and the relationship between them, through the methodology of literature review and case analysis. The results show that the competitive advantages of YouTube include a market-leading position and technological advantages. Based on these advantages and in order to maintain them, YouTube has adopted various competitive strategies, including adequate technical support and investment, unique business models, and product innovation. Therefore, the competitive advantages and competitive strategies of YouTube are mutually beneficial.
Construction and Practice of Intelligent Production Process in Printing Industry
Authors: Wang Daoxin , Wu Shuangquan , Cheng Xujun , Lu Minjie , Wang Zhong
Published: August 2024

This article explores in depth the construction and practice of intelligent production processes in the printing industry. By comprehensively analyzing the current application status and future development trends of intelligent technology in the printing industry, the key components of intelligent production processes are systematically elaborated. Detailed and specific construction strategies were introduced, including the introduction of automation equipment, the application of digital management systems, and the integration of big data and artificial intelligence. Representative practical cases were used to explore the significant practical effects achieved in improving production efficiency, optimizing product quality, and reducing costs. Finally, a forward-looking outlook was made on the intelligent development of the printing industry in the future, providing solid theoretical support and practical reference for the industry's transformation and upgrading.
Scenarios Analysis of Stratospheric Ozone Concentrations – Box Modeling and Statistical Inference
Authors: Chen Jiang
Published: August 2024

This study uses a method that combines box models and statistical inference to deeply explore the interaction between stratospheric ozone concentration and nitrogen oxides (NOx) and chlorine compounds (ClOx). Ordinary differential equations written in MATLAB were used to simulate chemical reactions in the atmosphere. Based on these results, evaluate qualitatively the effects of NOx and ClOx on ozone concentration by further multiple linear regression analysis using VIF for multicollinearity detection and AIC for model selection. Results show that NO2 and N2O5 have significant effects on the variations of O3, while Cl is related to the content of another species. The developed fast simulator can quickly process complex chemical reaction equations and meteorological data to predict future ozone concentration changes. The research not only enhances understanding of atmospheric chemical dynamics but also helps inform environmental policy.
Research on Analysis of the EV Battery Industry in China and Situation in the Global Market
Authors: Chen Yibo
Published: August 2024

This paper delves into the dynamics of the Chinese electric vehicle (EV) battery market, providing an overview of its current status, recent developments, domestic policies, and industry competitiveness. Anticipated to witness substantial growth in the future, the global electric vehicle battery industry market is a focal point of analysis. A critical examination is conducted on the challenges facing the Chinese government concerning EV battery recycling and manufacturing pollution, accompanied by recommendations for addressing these issues. Additionally, a comparative analysis is presented, spotlighting prominent Chinese companies such as CATL and BYD, which play pivotal roles as leading suppliers in the global EV battery industry. Their contributions to industry advancement and technological progress are thoroughly evaluated. Furthermore, the paper scrutinizes the current landscape of the Chinese EV battery market, focusing on two primary battery types: lithium iron phosphate and ternary lithium-ion batteries. Insights gleaned from this analysis provide valuable guidance for policymakers and industry stakeholders, informing future policy considerations and shaping the trajectory of the EV battery industry in China and beyond. By offering a comprehensive examination of the Chinese EV battery market, this study serves as a valuable resource for understanding the evolving dynamics of the industry and navigating its complexities. It underscores the importance of proactive measures to address challenges and capitalize on opportunities, ultimately driving sustainable growth and innovation in the EV battery sector.
The Effects of Family Atmosphere, School Environment, and Self-efficacy on the Learning Outcomes of International High School Students with Different Levels of Anxiety in Learning English as a Second Language
Authors: Zhou Yutong
Published: August 2024

With the increasing number of students studying abroad and the majority of them choosing countries where English is the primary language, the anxiety of international school students learning English as a second foreign language (ESL) has drawn attention. Based on the factors that affect anxiety mentioned in most articles, this paper selects family atmosphere, school environment and self-efficacy as three studied factors, and makes chart analysis of the views of students with different anxiety states on the above three factors. The study found that people with low anxiety have higher English standardized scores than those with moderate and high anxiety. Parents' English level has some influences on their kids’ English performances, but whether they communicate with their kids using English in daily life has little influence on English learning. Also, there is no significant difference in whether the help provided by the school was beneficial for different anxious students. Finally, students with moderate anxiety have the highest sense of self-efficacy, even higher than students with highest anxiety. This study helps individual international students deeply understand the relationship between anxiety and ESL performance and the role of parents and schools, which can help teachers, parents and schools make better teaching methods.
Impact factors for Adolescents’ Emotion Regulation Ability and Choice of Strategy: An Overview
Authors: Zhu Zhengrong
Published: August 2024

This study aimed to explore the importance and influence factors of adolescents’ emotion regulation (ER). This study approached research purpose by summarizing and analyzing four major influencers of ER in adolescents: age, parental styles, culture, and education. As found, at a young age, adolescents show a lower ability to regulate emotions due to the development of the “hot system” and low Self Control (SC). Then, this study discussed the impact of parenting styles (PS) on adolescents’ ER. Different PSs may indirectly lead to different ER abilities in their children. Past literature also presented that culture may influence children’s choice of ER strategy. Two ER strategies were introduced to address cultural preferences for using them. Last, the teacher and positive education intervention’s impact on students’ ER ability was discussed. For future direction, it was suggested that more research be done on cultural influence on ER in adolescents.
Second Language Identity of Chinese Junior High School EFL Learners: Its Construction and Sources
Authors: Han Yazhuo
Published: August 2024

Language learning is widely agreed to be closely related to individuals’ identity constructions. In recent years, identity research has gained more attention for its constructed and dynamic nature could provide a more insightful view of language learning processes and thus help better improve language learning and teaching. Many existing studies on language identities have been conducted in English as a Second Language (ESL) contexts and focused on more mature English learners. However, studies conducted in English as Foreign Language (EFL) contexts like China, especially those focused on younger learners were inadequate. With a qualitative research design and using a series of narrative data collection methods, the current research explored the second language identity of Chinese Junior High School (CJHS) EFL learners both in terms of its construction and sources. The findings of the research suggested that CJHS EFL learners’ second language identity experienced a downtrend flux as their English learning moved on. Factors including social context in China, experiences in English classes, the direct connection between English and their daily life and intimate people around weave together to build their second language identities. Several pedagogical implications were also proposed to help CJHS EFL learners negotiate their second language identity so that they could better locate themselves in the more globalized world.
Influence of Psychological Intervention on Children with Learning Disability
Authors: Jiang Qixuan
Published: August 2024

At present, Children with learning disability are increasingly exposed to the social landscape. Their situation has caused widespread public concern, as a treatment for learning disability, psychological intervention for children with learning disability has become one of the hot issues of social debate. To examine the influence of psychological intervention on children with learning disability, researchers have done relevant studies and thrown out different opinions. Therefore, by collecting research reports from different researchers and analyzing the data, this paper explores the influence of psychological intervention on children with learning disability. Through statstics, studies have found that psychological intervention can improve the academic performance of children with learning disability at school, their grades have improved a lot and they are more active in class. It can also reduce the unhealthy emotions of children with learning disability, so that children with learning disability can become more confident and more positive, as well as better integrate into society. Based on the conclusion, it is suggested that different individuals should raise their awareness, increase attention for children with learning disability that still exist and then bring to bear on some psychological interventions.
Natural Justification in the Beauty of Nature —— From the Book of the Sick Plum Pavilion
Authors: Fang Chulin
Published: August 2024

The differences between Chinese civilization and Western culture have given rise to multiple interpretations of aesthetic concepts. In the academic field, studies on this topic are rich and in-depth. The source of this tendency lies in the continuation and evolution of the East and the West in natural justification, and the literary works of the two places, such as Gong Zizhen's a Tale of the Sick Plum Pavilion, as well as Baudelaire's Flowers of Evil, are deeply influenced by it. From literary criticism, philosophical scrutiny and aesthetic analyses, using The Tale of the Sick Plum Pavilion and Flowers of Evil as texts to address the inheritance or decline of natural beauty in the nineteenth century, it can help us to re-examine aesthetics and philosophy using the vision of aesthetic contemporaneity.
Issue of Perception of Form and Space in Japanese Art Movement “Mono-ha” of the 1960–1970s
Authors: Чердакова О.И.
Published: August 2024

В статье рассматриваются основные этапы формирования направления моно-ха (‘школы вещей’). В своей практике художники моно-ха смещают фокус с содержания и фигуративности на форму и пространство с целью исследовать сам материальный объект и взаимоотношения, возникающие между этими двумя аспектами (в некоторых случаях пространство не входит в эту формулу и зритель наблюдает взаимодействие нескольких материалов). При этом художники стремятся к минимальному воздействию на материал, стараясь сохранить его естественное, первозданное состояние. Искусство моно-ха развивалось под воздействием европейского направления arte povera (‘бедного искусства’), американского минимализма и других художественных течений середины XX в., однако концептуально оно в большей степени связано с философией дзэн-буддизма, основанной на медитации с концентрацией на каком-либо объекте или мысли. Художники, как и дзэн-буддисты, стремятся к обретению гармонии через принятие естественности этого мира, концентрируясь на нахождении в конкретном месте и в конкретное время. Взаимодействие японского и западного искусства порождает многообразие пластических идей и художественных форм. Анализируя концепцию восприятия формы и пространства мастеров моно-ха, автор предпринял попытку доказать, что это направление является важным этапом интеграции японского искусства в мировое художественное пространство.

The article discusses the main stages of the formation of mono-ha movement. In their practice, artists of the “school of things” shift the focus from content and figurativeness to form and space in order to explore the material object itself and the relationships that arise between these two aspects (in some cases, space is not included in this “formula”, and the viewer observes interaction of several materials). At the same time, artists strive for minimal impact on the material, trying to preserve its natural, pristine state. The art of mono-ha developed under the influence of the European movement of arte povera (“poor art”), American minimalism and other artistic movements of the mid-20th century, however, conceptually it is more connected with the philosophy of Zen Buddhism, based on meditation with a concentration on either some object or a thought. Artists, like Zen Buddhists, strive to achieve harmony through accepting the naturalness of this world, concentrating on being in a specific place and at a specific time. The interaction of Japanese and Western art gives rise to a variety of plastic ideas and artistic forms. Analyzing the concept of perception of form and space by the Mono-ha masters, an attempt has been made to prove that the Mono-ha art movement is an important stage of the integration of Japanese art into the world artistic space.
Factors Affecting Postoperative Early-term Mortality and Anastomotic Leakage in Geriatric Colorectal Cancer Patients
Authors: Uzunoğlu Hakan , Kaya Selcuk
Published: August 2024

AIM: In terms of early-term mortality, there may be variability in terms of factors belonging to age groups. While some risk factors apply to all patients undergoing colorectal cancer surgery, some factors may come to the fore in terms of age. There have been very few studies on factors that increase the risk of early-term mortality, especially for geriatric patients. It was aimed to compare factors influencing prognosis and mortality within the first 30 postoperative days between geriatric patients and those <65 years of age, and to identify factors that increase the risk of anastomotic leakage and early-term mortality, particularly in geriatric patients. 
METHODS: Clinical, laboratory, and pathology findings from 341 patients (186 geriatric) who underwent surgery for colorectal cancer between January 2016 and December 2019 were collected and analyzed. In terms of categorical variables, comparisons between groups were made with Pearson's Chi Square test and Fisher's Exact Test. Risk coefficients of variables in terms of anastomotic leakage and early-term mortality were determined by logistic regression analysis. The results were evaluated within the 95% Confidence interval, and p < 0.05 values were considered significant. 
RESULTS: Anastomotic leakage was detected in 7% of patients, and 6.2% of the patients died within the first 30 postoperative days. The 30-day postoperative mortality rate was significantly higher in geriatric patients with hypertension (p = 0.003), those undergoing emergency surgery (p = 0.007), those with stage 4 tumors (p < 0.001), those with ostomy-related complications (p = 0.042), those who developed intraabdominal abscess or peritonitis (p < 0.001), those with respiratory failure (p = 0.009), and those with perforation (p = 0.001). In patients <65 years of age, groups stratified by these variables did not differ significantly in terms of early-term mortality rate (p > 0.05 for each). 
CONCLUSIONS: These findings show that lack of bowel preparation and development of intraabdominal abscess/peritonitis significantly increase early-term mortality rates in both <65 and geriatric patients. Additionally, hypertension, emergency surgery, advanced tumor stage, development of ostomy-related complications, respiratory failure, and perforation significantly increase early-term mortality solely in geriatric patients.
Intestinal Malrotation in a Patient with Gastric Cancer during Laparoscopic Total Gastrectomy: A Case Report
Authors: Alrashidi Nasser
Published: August 2024

AIM: Intestinal malrotation (IM) represents a rare congenital anomaly in adults, although it is more common during infancy. This condition originates during embryonic development due to incomplete rotation of the midgut around the superior mesenteric vessels. The primary aim of this case study is to emphasize the importance of surgeon awareness and recognition of this congenital anomaly during laparoscopic gastric surgery to avoid serious complications.   
CASE PRESENTATION: A 45-year-old male presented to the clinic with a complaint of vague epigastric pain for two months. The patient underwent a comprehensive clinical evaluation, including laboratory tests, endoscopic examination, and radiological imaging. The diagnostic workup revealed early-stage gastric cancer. Incidentally, radiological studies also demonstrated a congenital non-rotation of the small bowel. Given the patient's congenital anatomical anomaly, a laparoscopic total gastrectomy was performed employing a reversed C-shaped Roux-En-Y limb reconstruction. Postoperative recovery was uneventful, and the patient was discharged in stable condition. 
RESULTS: The patient was doing well at the 2-year follow-up, there were no complications related to the form of anastomosis, and the pathological result was comparable to that of patients with non-rotating small bowls.   
CONCLUSIONS: Intestinal malrotation is an uncommon asymptomatic congenital abnormality in adults. During laparoscopic gastric surgery, the surgeon should identify this anomaly to optimize surgical approaches, particularly during anastomosis formation. Accurate identification and appropriate management of intestinal malrotation are crucial to mitigate potential postoperative complications, including twisting, obstruction, tension, and anastomosis leak.
Detection of Thyroid Isthmus Agenesia during Diagnostic Lobectomy: A Case Report
Authors: Kesici Ugur , Duman Mehmet Guray , Karatepe Yahya Kaan , Mazlum Ahmet Furkan , Somay Mert
Published: August 2024

The thyroid gland is an endocrine organ comprising two lobes connected by an isthmus. Thyroid isthmus agenesia (TIA) is a rare anatomical anomaly, which has only been documented in a limited number of case reports. This report presents the case of a 49-year-old female patient who was diagnosed with intraoperative TIA during diagnostic thyroid lobectomy. The patient was arranged for a diagnostic lobectomy of the right thyroid lobe after identifying an atypical nodule of undetermined significance, in the right lobe, which had been confirmed with two distinct biopsies. The patient was discovered to have isthmus agenesia during a neck exploration performed under general anesthesia. Owing to its rarity, the precise clinical and anatomical characteristics of TIA have not been defined, and its underlying cause is still not completely understood. The detection of TIA warrants the considerations of any other accompanying diseases. Prior identification and assessment of surgical approach are crucial for ensuring a secure surgical procedure and mitigating the risk of surgical complications. Nevertheless, caution must be exercised if TIA is detected during operation because preoperative identification is not always feasible. In summation, additional patient reports and studies are required to uncover the underlying cause of this pathological condition.
Effect of Abdominal Corset on Completion of Colonoscopy and Cecal and Ileocecal Intubation Time in Patients with Central Obesity: A Prospective Randomized Controlled Trial
Authors: Gündeş Ebubekir , Öfkeli Özcem , Uzun Orhan , Senger Aziz Serkan , Polat Erdal , Duman Mustafa
Published: August 2024

AIM: This work investigated the effect of an abdominal corset on the colonoscopy completion rate, as well as cecum and ileum intubation time, total colonoscopy time, and pain score in centrally obese patients.
METHODS: Patients were randomized into two groups, with 50 patients in each group. A colonoscopy was performed using the abdominal corset in Group 1 and the standard method in Group 2. The comparison between the groups evaluated demographic data, procedure details, circulatory dynamics, anesthesia data, and visual analogue scale (VAS). 
RESULTS: Of the patients included in the study, 60 were female, and 40 were male, with a mean age of 57.3 ± 13.6 years. Cecal intubation time (Z: –2.66 p: 0.008), total colonoscopy time (Z: –2.180 p: 0.029), number of maneuvers (χ2: 8.391 p: 0.039), and VAS (Z: –3.087 p: 0.002) were significantly lower in the abdominal corset group. 
CONCLUSIONS: An abdominal corset that applies external abdominal compression reduces the cecal intubation time, the total colonoscopy time, the number of maneuvers, and the pain level.  
CLINICAL TRIAL REGISTRATION: NCT03128645 (https://clinicaltrials.gov/study/NCT03128645?tab=results).
The Significance of Lymph Node Dissection in Patients with Early Epithelial Ovarian Cancer
Authors: Bao Ruru , Olivier Mpano , Xiang Junmiao , Ye Piaopiao , Yan Xiaojian
Published: August 2024

AIM: This study aimed to investigate the impact of lymph node dissection on the prognosis of early epithelial ovarian cancer and to assess the factors associated with lymph node metastasis. 
METHODS: In this retrospective study, we collected and analyzed the demographic characteristics, clinical pathological data, and perioperative adverse events in newly diagnosed early epithelial ovarian cancer (EOC) patients, Federation International of Gynecology and Obstetrics (FIGO) stage IA–IIA. The patients underwent surgical treatment at the First, Second, and Third Affiliated Hospitals of Wenzhou Medical University in Zhejiang Province, China, between June 2012 and June 2022. The survival analysis was performed. 
RESULTS: We enrolled 284 patients in this study, including 246 stage I, 28 stage II, and 10 stage III patients after surgery. Among them, 42 patients did not undergo lymph node dissection, 113 underwent pelvic lymph node dissection only, and 129 underwent pelvic plus para-aortic lymph node dissection. Among the lymph node dissection group, only 8 patients had lymph node metastasis (8/242, 3.3%), including 6 with pelvic lymph node metastasis and 2 with pelvic plus para-aortic lymph node metastasis. The median follow-up duration was 63 months. The systematic lymph node dissection group significantly prolonged the median operation duration and increased intraoperative blood loss and postoperative complications (p < 0.05). Postoperative multivariate Cox regression analysis revealed FIGO stage III as an independent risk factor for Progression-Free-Survival (PFS) and Overall Survival (OS) (p < 0.05). Furthermore, the preoperative cancer antigen 125 (CA125) level was observed as an independent factor affecting lymph node metastasis. 
CONCLUSIONS: Systematic lymph node dissection showed minimal effect on the survival rate of patients with clinically apparent early epithelial ovarian cancer and increased the postoperative complications of patients.