bluuebunny/crossref_metadata_2025 huggingface dataset:
An Example of Negative Screening Application in ESG Investing
Authors: Lu Jiayi
Published: July 2024

ESG (Environmental, Social, and Governance) investing is taken into consideration by many long-term institutional investors for their portfolios. ESG investment includes reducing stakeholder risk, relying on longer investment horizons, and targeting non-mainstream market segments. Negative screening is one of the easiest methods to construct a portfolio for ESG investing and has been widely used by investors. The Sharpe ratio is one of the most common statistics used to evaluate the expected return of a portfolio. Negative screening is an important strategy in the ESG investing landscape, enabling investors to align their portfolios with their values and potentially reduce exposure to related risks. While negative screening is straightforward, there are some limitations associated with it, making the development of more reliable methods for ESG investing increasingly important. This article focuses on developing a simple approach to ESG investing using negative screening.
Analysis of Walmart's New Retail Business Model
Authors: Liu Xiaoyang
Published: July 2024

With the rapid development of the retail industry, new retail formats are emerging. Walmart, as a globally recognized retail brand, faces challenges in its transformation in the Chinese market. The research objective of this paper is to analyze Walmart's business model and value chain to provide reference suggestions for its digital transformation under the new retail model. This paper mainly studies Walmart's business model and compares it with Yonghui Superstores, conducts value chain and SWOT analysis on Walmart, and finds that Walmart's development in the Chinese market can not only rely on physical stores for sales but also needs to capture the market through omnichannel to retain customers. At the same time, Walmart needs to expand its business and utilize its advantages to attract more potential customers in areas not covered by the stores and put forward the suggestions that retailers need to carry out digital transformation and innovation in the future continuously, the continuous promotion of online e-commerce platforms, the aging offline layout, and the opening of a new track for pre-prepared dishes.
Beauty but not obscenity - Aromatic depictions in the poetry of the Sheng Tang Dynasty
Authors: Dong Anran
Published: July 2024

The depiction of eroticism in poetry has a long history, and that of the Shengtang poetry is particularly unique, as it is both extremely beautiful and unconventional, and is not obscene even when scrutinised by men. This article first reviews the origins of the depiction of eroticism and its evolution through the ages, and explores its deeper meaning and artistic potential. By comparing the depictions of fragrance in the poetry of the Sheng Tang and the previous dynasties, it analyses the desire for life and the characteristics of health and youth in the poetry of the Sheng Tang, and explores the unique context of the times that gave rise to this artistic feature. By studying the aesthetic attitudes of the poets of the Sheng Tang period towards the beauty of fragrance and lust, we try to explore and develop a contemporary positive and healthy aesthetic.
Research On the Strategy of Combating Illegal Wildlife Trade Based on Logistic Regression-ARIMA Model
Authors: Guo Lanqi , Mao Ruiqi , Li Mingrui
Published: July 2024

In view of the continuous growth of the global illegal wildlife trade, this paper proposes a series of methods and strategies to combat the illegal wildlife trade and explores the feasibility and effectiveness of the implementation of the strategy by the United Nations Environment Programme (UNEP) based on logistic regression and ARIMA prediction model. The results of this paper show that the success rate of the strategy implemented by the UNEP is 71.429%, and it will achieve the effect of reducing the global illegal wildlife trade by nearly 5% per year after the implementation of the strategy. The data show that the strategy proposed in this paper can help the UNEP and other environmental regulators to combat illegal wildlife trade and provide evidence for the promotion of the strategy in the future.
The Predicament and the Path of Relief in the Education of College Students' Rural Feelings in the VUCA Era
Authors: Liu Ke
Published: July 2024

The key to revitalizing rural areas lies in talent. Cultivating college students' rural feelings is of great significance for reversing their utilitarian value tendencies and contributing to the construction of the great ideological and political pattern. This feeling can also guide them to engage in innovation and entrepreneurship in their hometowns, promoting the in-depth implementation of the rural revitalization strategy. However, in the era of volatility, uncertainty, complexity, and ambiguity, also known as the VUCA era, the education of rural feelings encounters certain practical challenges. These challenges include the dilution of college students' rural feelings, the scarcity of local curriculum with rural characteristics, and the ineffective connection between schools and rural areas. Therefore, universities should adhere to ideological and political guidance, cultivate college students' rural feelings by carrying out place-based teaching integrated with rural realities and strengthening the linkage between schools and rural areas. This will encourage them to actively participate in local practice, make career choices to devote themselves to issues relating to agriculture, rural areas, and rural people, and contribute to the revitalization of rural talent.
Impact of the COVID-19 on the Catering and Tourism Industries: A Dynamic Perspective
Authors: Lian Jiayuman
Published: July 2024

This research paper delves into the evolution of the hospitality and tourism sectors amidst the global pandemic, aiming not only to shed light on the myriad challenges and opportunities these industries have encountered but also to furnish valuable insights and strategic recommendations for industry stakeholders and policymakers. By employing quantitative data analysis, the study meticulously evaluates the ramifications of the epidemic on the economic performance, demographic engagement, and operational dynamics of the catering and tourism industries, drawing comparisons between the pre- and post-COVID-19 landscapes. The study found that COVID-19 severely impacted both industries, and many related industries were impacted as a result, leading to economic losses. Leaders should promote collaboration between governments and businesses to develop response strategies to avoid indelible trauma to the industry. Concurrently, it underscores the imperative for businesses within these sectors to persistently pursue innovation and adaptation, thereby revitalizing consumer interest, spurring economic recovery, and ensuring sustainable industry growth in the face of unprecedented challenges.
A Comparative Study of Chinese High School Multimodal English Textbooks under the "Double Reduction" Policy
Authors: Ji Suhan
Published: July 2024

High school English textbooks play a pivotal role in the English learning effectiveness of high school students. Following the implementation of the "Double Reduction" policy in Mainland China in 2021, there have been significant changes in the English learning approaches of high school students, necessitating adjustments in the content of English textbooks. This study selected two widely used high school English textbooks published by the Foreign Language Teaching and Research Press, specifically the English (New Standard) (Volume 1, 2004 edition) and the General Senior High School English Textbook (Volume 1, 2022 edition). Based on the theory of visual grammar, a multimodal comparative analysis was conducted. The findings suggest that the latter is more suitable for first-year students in high schools after "Double Reduction". The former requires improvements in content difficulty, learning objectives, intercultural communication, and media technology utilization. This research offers insights for textbook compilation and enhancement, recommending an emphasis on the practical arrangement of English knowledge and the cultivation of students' intercultural competencies.
Sex Ratio Analysis of Lampreys Based on Logistic and Lotka-Volterra Models
Authors: Guo Zhihan , Ma Baile
Published: July 2024

Because of the influence of larval food availability on the sex ratio of lampreys s, the study of changes in the sex ratio of lampreys is of great practical importance for understanding various aspects of the lamprey’s ecosystem. First, this paper analyzes competition and predation relationships within the ecosystem and models Logistic models and Lotka-Volterra models for each relationship. Second, to determine whether changes in the sex ratio of lampreys are favorable or unfavorable, this paper develops a comparative model that analyzes populations of lampreys with different sex ratios and populations with a fixed 1:1 sex ratio. Finally, competitive, inhibitory and predatory relationships were inferred in conjunction with ecological dynamics and fitted using Hurwitz determinants and Jacobi matrices. The results found that changes in the sex ratio of lampreys favored ecosystem stability.
The Influence of CEO Facial Expressions on the Construction of Corporate Image
Authors: Li Xinyue
Published: July 2024

Recently, corporate executive officers (CEO) have been regarded as the decision makers or leaders of the company, and their image behaviour, and even facial expressions not only affect the public and investors' perception of the company but also influence the shaping of the corporate image to some extent. The purpose of this paper is to explore the relationship between CEO's facial expressions and corporate image shaping. Studying the impact of the CEO's facial expression on corporate image, it reveals the important role of the CEO as an important representative of corporate image in shaping corporate image. This thesis will analyse the existing research results through the methods of literature review and empirical research, and explore the role of the CEO's facial expression in shaping the outside world's impression, reputation, and brand image of the enterprise by observing and analysing the CEO's facial expression. It will also propose some practical suggestions based on relevant theories as well as guide companies on facial expression management, to help companies effectively use CEO facial expressions to shape their corporate image.
Research on Path Planning Methods based on Mobile Robots
Authors: Liu Junduo
Published: July 2024

The path planning of mobile robots is a critical technique for achieving robot autonomy. With the rapid development of the robot industry, the demand for mobile robot path planning is expanding. The primary algorithms involved in mobile robot path planning are summarized, along with their characteristics, in order to enhance mobile robot path planning and achieve effective obstacle avoidance and dynamic path planning. The A* algorithm and the artificial potential field approach are examined first, along with a summary of their drawbacks and an analysis of their underlying theories. Second, a new algorithm that combines the artificial potential field approach and the A* algorithm is summarized. The potential field function of the APF method is used to drive the search for the A* algorithm, and the enhanced algorithm is compared and examined based on path length, obstacle avoidance effect, and iteration times. In order to achieve the combination of global and local planning abilities, this algorithm uses the enhanced A* algorithm for global path planning and enhances the APF algorithm for local dynamic planning on the determined path. A comparative analysis was conducted using the simulation image. It offers other researchers a more thorough and effective path planning method for mobile robots. Lastly, the drawbacks of the A*_APF fusion algorithm are highlighted, and recommendations for enhancement are made.
The Application of Artificial Intelligence Technology in the Digital Economy
Authors: Lu Xinyi , Li Zeyi
Published: July 2024

The present digital economy is commonly thought to be driven by artificial intelligence. Because AI is not constrained by the rigidity and cognitive limits of humans, it is widely believed that AI is essential for businesses to succeed in the digital economy. This paper covers the use of artificial intelligence technology in several disciplines of the digital economy, with a focus on specific situations in finance, e-commerce, supply chain logistics, healthcare, and other areas of the digital economy. The ongoing development of artificial intelligence has radically altered the way various areas work, delivering greater value and efficiency for businesses, and plays an important role in its development. The purpose of the article is to forecast the growth of AI technology in the digital economy by examining how AI's distinctiveness will lead to the development of novel business models and broad use.
An Analysis of the Influential Factors of Corporate Innovation in Chinese Listed Companies
Authors: Shao Yue , Yu Lun
Published: July 2024

Enterprise innovation, as an important part of enterprise development, has now become one of the popular research objects. Under this background, this paper analyses the influence of external factors and internal factors on corporate innovation, and it takes into account the fact that external and internal factors can both promote and inhibit the development of innovation in firms. Based on the analysis of relevant literature on innovation influencing factors of Chinese listed companies, firstly, the external and internal factors affecting corporate innovation are sorted out and summarized respectively. Secondly, the factors or mechanisms by which Chinese listed companies should negatively affect corporate innovation are pointed out. And finally, it is shown that it is a future research trend to improve enterprise-related policies to alleviate or offset the inhibiting effect on corporate innovation. This study is conducive to promoting the continuous innovation of enterprises, promoting the stable development of the level of economic development of enterprises, and provides scholars with a clear classification and ideas in terms of enterprise innovation factors.
A Qualitative Investigation of Factors Influencing Luxury Purchase Decision Making: Are U.S. University Students Buying on Impulse?
Authors: Jiang Man
Published: July 2024

As luxury markets become more respondent to trends since the advent of social media, marketing campaigns are incentivized to employ new stimuli in attracting younger consumers. This shifting environment suggests the usefulness of investigating younger generations luxury shopping behaviors. Thus, this study examines U.S. university students motivations for luxury consumption and evaluates whether this demographic group perceives their luxury purchases to be impulse driven. The study utilizes an online survey format, implementing Likert type items and free response sections to both quantitatively and qualitatively assess participants luxury buying tendencies in relation to the motivating effects of product-related, internal, and situational factors. The results found that U.S. university students are most stimulated by financial availability and product characteristics, when making luxury item purchases. Furthermore, more young consumers tend to characterize their luxury shopping tendencies as rational, though a smaller subgroup of the population admit to being somewhat impulsive.
Design and optimization of multidimensional data models for enhanced OLAP query performance and data analysis
Authors: Li Xu , Shen Qi , Yang Tiancheng
Published: July 2024

This paper explores the design and optimization of multidimensional data models to enhance the query performance and data analysis capabilities of OLAP (Online Analytical Processing) systems. It delves into three prominent dimensional modeling techniques: Star Schema, Snowflake Schema, and Galaxy Schema, analyzing their impact on query complexity, data redundancy, storage requirements, and ease of maintenance. Additionally, it examines three aggregation strategiesPre-Aggregation, Dynamic Aggregation, and Hybrid Aggregationfocusing on their effectiveness in balancing query response time, storage efficiency, flexibility, and computational cost. The study further investigates performance optimization techniques, including query optimization, partitioning, and materialized views, providing case studies and experimental data to illustrate their benefits and challenges. The findings underscore the importance of tailored optimization strategies in OLAP systems to meet varying business needs and query patterns, highlighting the trade-offs between performance gains, storage requirements, and implementation complexity
Analysis and trend prediction of COVID-19 pandemic data based on big data visualization
Authors: Lu Xinyuan
Published: July 2024

Since the outbreak of COVID-19 at the end of 2019, this global public health crisis has profoundly impacted the socio-economic conditions and daily life of countries worldwide. To effectively combat the pandemic, scientists and public health experts rely on vast amounts of data to track the progression of the disease, evaluate the effectiveness of control measures, and predict future trends. Big data technology plays a crucial role in the analysis of pandemic data and trend forecasting. This paper will explore the methods of analyzing COVID-19 pandemic data and the application of trend forecasting.
Unveiling the landscape of recommendation systems: Evolution, algorithms, applications, and future prospects
Authors: Wu Yanzhe , Yang Zhan
Published: July 2024

The purpose of this review paper is to explore the development history, core algorithms, application domains, and future trends of recommendation systems. In the era of information overload, recommendation systems are essential tools that have proven to be highly successful in diverse fields, such as e-commerce, social media, and movie recommendations. The paper examines various types of recommendation systems, including collaborative filtering, content filtering, and deep learning methods, analyzing their strengths and limitations. By delving into the intricate details of these systems, this study provides valuable insights into the advancements and challenges in recommendation technology. Understanding the evolution and capabilities of recommendation systems is crucial in harnessing their potential and improving user experiences in the dynamic digital landscape.
A survey of generative models used in text-to-image
Authors: Xu Jingjing , Du Jiahao , Wang Junyi
Published: July 2024

The emergence and rapid development of neural networks have been pivotal in advancing text-to-image generative models, with particular emphasis on generative adversarial networks (GANs), variational autoencoders (VAEs), and augmented reality (AR). These models have greatly enriched the field, offering diverse avenues for image generation. Critical support has been provided by databases such as MS COCO, Flickr30K, Visual Genome, and Conceptual Captions, along with essential evaluation metrics, including Inception Score (IS), Frchet Inception Distance (FID), precision, and recall. In this comprehensive review, we delve into the mechanisms and significance of each model and technique, ensuring a holistic examination of their contributions. Both GANs and VAEs stand out as significant models within image generative frameworks, each excelling in distinct aspects. Therefore, it is imperative to discuss both models in this review, as they offer complementary strengths. Additionally, we include noteworthy models such as augmented reality to provide a well-rounded assessment of the current advancements in the field. In terms of datasets, MS COCO offers a diverse and extensive collection of images, serving as a cornerstone for model training. Other datasets like Flickr 30k, Visual Genome, and Conceptual Captions contribute valuable labeled examples, further enriching the learning process for these models. The incorporation of widely recognized metrics and methodologies in the field allows for effective evaluation and comparison of their relative significance. In conclusion, the field's recent achievements owe much to the integration of its various components. VAEs and GANs, with their unique strengths, complement each other, while metrics and datasets play complementary roles in advancing the capabilities of generative models in the context of text-to-image synthesis. This survey underscores the collaborative synergy between models, metrics, and datasets, propelling the field toward new horizons.
AI techniques in board game: A survey
Authors: Liu Ailien
Published: July 2024

This paper delves into the realm of Artificial Intelligence (AI) and its transformative impact on board games, with a particular focus on chess and Go. In the domain of Go, it traces the evolution from AlphaGos historic victory over Lee Sedol to the groundbreaking AlphaGo Zero and Alpha Zero models. This survey explores the fundamental neural network architectures and reinforcement learning techniques employed in board games, ushering AI to new heights in mastering these intricate games. Furthermore, it introduces the chess AI developed by DeepMind, shedding light on the cutting-edge advancements in AI-driven board game strategies. This comprehensive examination highlights the profound influence of AI in reshaping the landscape of board games and sets the stage for further research and innovation in this exciting field.
Classification of pneumonia caused by Covid-19 based on deep learning model
Authors: Cheng Shaopeng
Published: July 2024

With the unexpected spread of Covid-19 in 2019, such disease took away millions of peoples lives. Therefore, investigating and curing Covid-19 become a very mandatory issue in different areas, such as biology, medicine, and statistics. This paper investigates different models of CNN in deep learning of computers in analyzing X-ray pictures of normal pneumonia and Covid-19 caused pneumonia patients. The database is from Kaggle and contains over 8000 images of X-rays of the chest. Besides, this paper discusses the imaging process technology, such as ConvNeXt, to edit X-ray images more convenient for computers to analyze and dispose of. According to the comparison of the sequential model and DenseNet model in CNN, the sequential model has better performance and accuracy. In the conclusion part, this paper also investigates whether better image processing work can improve the performance of models. Overall, these results shed light on guiding further exploration of both analyzing and distinguishing Covid-19 patients and normal pneumonia patients in order to decrease the work of hospitals and cure different patients in time.
Analysis of clustering algorithms in Iris and breast cancer datasets
Authors: Chen Jiasheng , Jin Changyou , Wang Hongyu , Huang Zixuan , Liang Jingxing
Published: July 2024

In the contemporary era of data-driven processes, addressing the challenge of processing vast volumes of data has become a pressing concern. With the rapid advancement of computer science and information technology, data processing efficiency has significantly improved. Within this expansive domain, three prominent clustering techniquesnamely, K-Means clustering, spectral clustering, and Density-based spatial clustering of applications with noise (DBSCAN)have assumed pivotal roles due to their versatility and effectiveness. This essay embarks on a systematic examination of these three methods, deconstructing their fundamental principles and navigating through their practical applications.
基于节约里程法的物流低碳配送路径优化
Authors: 郝 一琢 , 刘 雅颉
Published: July 2024

为了响应国家节能减排的号召，推动物流配送的低碳化发展，需要对物流低碳配送路径进行优化。本文以C企业熟食产品配送为具体案例，运用节约里程法对其配送路径进行了优化设计。结果表明：经过优化后的配送路径不仅更短，而且碳排放量显著降低，有效提升了企业的经济效益。本研究不仅有助于推动物流行业的绿色可持续性发展，同时也为其他物流企业在解决实际配送问题时提供了有效的参考依据。
可持续视角下社会责任对国有上市公司财务绩效的影响机制 --基于动态结构方程模型的实证研究
Authors: 徐 若萱 , 陈 硕 , 邓 润威 , 徐 浩南
Published: July 2024

本文探讨了在企业可持续性会计框架下，社会责任管理如何影响公司财务绩效的机制。通过对框架理论基础的梳理及会计框架的应用现状分析，该研究揭示了企业社会责任管理的内涵，并以实践案例为基础进一步分析了社会责任履行对企业财务稳健性的潜在正面效应。采用实证研究方法，结合多来源数据，本文对社会责任管理与财务绩效间的关联性进行了深入探讨，结果表明，良好的社会责任管理能显著提升公司的经济利益。研究为企业如何在追求财务增长的同时注重社会责任提供了策略视角，为理解可持续性视角在企业管理中的应用提供了新的见解。
大宗交易对乳制品龙头企业股票价格波动性的影响
Authors: 李 天宇 , 李 星宇
Published: July 2024

利用大宗交易预测股票价格有助于释放金融科技的“新质生产力”。现有关于大宗交易对股票价格影响的研究主要集中在“宏观经济”层面，很少有研究关注大宗交易对于预测股票的投资启示。乳制品行业的发展有助于带动我国传统农业和畜牧业经济的飞速增长，在必要的发展阶段，加强科学投资有助于加速“双循环”的发展赛道。因此，有必要加强大宗交易对乳制品龙头企业股票价格的波动性影响研究。以A乳制品龙头公司为案例进行研究的结果表明，使用时间序列模型可以很好的预测股票价格趋势，为投资者提供决策依据。
中小商业银行发展科技金融的路径探索
Authors: 张 驰
Published: July 2024

2023年召开的中央金融工作会议上指出，金融要为经济社会发展提供高质量服务，做好科技金融等五篇大文章。中国已经基本搭建起立体式、广覆盖的科技金融模式，中小商业银行数量多，但在业务规模、客户数量、科技投入上与大型银行还存在巨大差距，面临的竞争环境也日趋激烈，应对利差缩窄、资产质量承压等多重因素，需要从科技创新领域实现高质量发展进行探索。本文更多从当前科技金融的使命发展阶段出发，结合中小商业银行所处的市场地位与竞争环境，分析中小商业银行开展科技金融与科技创新相互融合中的机遇与挑战，以信贷业务作为切入点，试图系统、全面探索中小商业银行开展科技金融的具体路径，提出服务国家大局、加大产品创新、设立专营机构、推动科技赋能和强化协作的具体建议，以期通过发挥金融行业细分领域的力量助推科技金融与科技创新的深度融合。
Fish Community Characteristics and River Health Assessment of Gayasan National Par
Authors: Ko Myeong-Hun , Han Mee-Sook ,   Korea National Park Service National Park Research Institute
Published: July 2024

We investigated the characteristics of fish communities and river health in Gayagsan National Park, Korea, from May to September 2022. Sixteen species belonging to eight families were collected from 20 survey stations. The dominant and sub-dominant species were Rhynchocypris oxycephalus (41.7%) and Zacco koreanus (34.9%). The next most abundant species were Pungtungia herzi (6.2%), Hypomesus nipponensis (5.3%), Z. platypus (4.1%), Rhinogobius brunneus (2.3%), and Squalidus gracilis majimae (2.1%). Among the fish species collected, seven (43.8%) were Korean endemic species, including Coreoleuciscus aeruginos, S. gracilis majimae, Z. koreanus, Silurus microdorsalis, Liobagrus mediadiposalis, Coreoperca herzi, and Odontobutis platycephala. Two landlocked species (H. nipponensis and R. brunneus) were also collected. The community analysis revealed that the dominance (0.699-1.000) was higher upstream, the diversity (0.306-1.439) and richness (0.202-1.502) were higher downstream, and the evenness (0.278-0.833) showed no tendency. The community structure was divided into uppermost (St. 3, 8, 6, 10, 11, 18, and 15), upstream (St. 2, 13, 14, 16, 20, 19, 7, and 12), middle (St. 4, 5, and 17), and downstream (St. 9). Additionally, river health was evaluated using a fish assessment index and assessed as very good (seven stations), good (seven stations), or normal (three stations). Gayasan National Park is relatively well-preserved, but the many weirs and debris barriers installed in the stream and river work in some areas are disturbing. Therefore, for a stable fish habitat in Gayasan National Park, it is necessary to install a fishway in the weir to avoid indiscriminate river work, and ecologically disturbed species such as Micropterus salmoides and Lepomis macrochirus should be blocked from introduction.
Անտոցիանների պարունակությունը բալի պտուղների լիոֆիլ փոշում և դրա հակաբորբոքային ազդեցությունը
Authors: Շամիլյան Ք. Մ. , Թոփչյան Հ. Վ. , Ժամհարյան Ա. Գ. , Հովհաննիսյան Տ. Վ . , Պստիկյան Թ. Ա. , Հովսեփյան Ա.Կ , Բալասանյան Մ. Գ.
Published: July 2024

Исследовано содержание антоцианов в различных экстрактах и лиофили-зированном порошке плодов вишни флоры Армении. Выявлено, что лиофильный порошок, полученный по разработанной нами методике лиофилизации, содержит богатый состав антоцианов, превосходящий содержание последнего в 40%, 70%, 96% этанольных и 70% метанольном экстрактах плодов вишни. Изучение противовоспалительного действия лиофильного порошка плодов вишни в дозе 0,6 г/кг показало, что внутрибрюшинное введение раствора исследуемой лекарственной формы крысам сопровождается проявлением противовоспалительного эффекта введенного раствора в модели индуцированного ксилолом воспаления уха крыс. Установлено, что после введения животным раствора лиофильного порошка плодов вишни на 47,11% предотвращается увеличение массы воспаленного уха по сравнению с контрольным. Полученные данные открывают перспективы по разработке новых проти-вовоспалительных средств с богатым составом антоцианов на основе лиофильного порошка плодов вишни.
Experiments were carried out to investigate the content of anthocyanins in different extract and freeze-dried powder of Armenian sour cherry fruits. It was revealed, that the freeze-dried powder of sour cherry fruits has a rich content of anthocyanins, exceeding the content of aforementioned substances containing 40%, 70%, 96% ethanolic, and 70% methanolic extracts. Our investigations showed, that intraperitoneal injection of sour cherry fruit freeze-dried powder solution (0,6 g/kg) to rats provides anti-inflammatory effect development in the rat's ear xylene-induced inflammation model by leading to inflamed and control ears' mass difference reduction by 47,11%. The obtained data open new perspectives for using freeze-dried powder of sour cherry, as an anthocyanin-rich raw material with potent anti-inflammatory effects.
Ստամոքսի քաղցկեղի հետվիրահատական բարդությունների նախավիրահատական կանխորոշման արդի վիճակը
Authors: Հարությունյան Գ․ Վ․
Published: July 2024

Оценка риска является важной проблемой здравоохранения. Несмотря на значительные достижения в хирургических и анестезиологических методах, послеоперационном уходе и интервенционной радиологии при раке желудка, гастрэктомия по-прежнему имеет высокий риск серьезных послеоперационных осложнений. Система стадирования опухоль–узел–метастаз (TNM) считается золотым стандартом для прогнозирования риска будущего рецидива или неблагоприятного исхода. Однако она не учитывает факторы, которые могут повлиять на общее течение заболевания пациента, такие как возраст, общее состояние здоровья или другие сопутствующие болезни. Многие исследования выявили факторы, которые предсказывают послеоперационные осложнения, включая показатели конституции тела, питания, воспаления, функции органов и гиперкоагуляции. Существуют различные соотношения клеток крови, которые, по-видимому, влияют на прогноз у пациентов с резецированным раком желудка. В этом обзоре суммирована взаимосвязь между рядом факторов, связанных с пациентом и послеоперационными осложнениями у больных, перенесших резекцию по поводу рака желудка.
Risk assessment is an important healthcare issue. Despite remarkable advances in surgical and anesthesiologic techniques, postoperative care, and interventional radiology associated with gastric cancer, gastrectomy still has a high risk of serious postoperative complications. The tumor–node–metastasis (TNM) staging system is considered the gold standard for predicting the risk of future relapse or death. However, it does not consider factors that can affect a patient’s overall health such as age, overall health status, or other comorbid conditions. Many studies have identified factors that predict postoperative complications, including indicators based on body constitution, nutrition, inflammation, organ function and hypercoagulation. Various blood cell ratios exist which seem to have an impact on prognosis for resected gastric cancer patients. This review summarizes the association between several patient-related factors and postoperative complications in patients undergoing resection for gastric cancer.
The atavistic problem of identifying atrial fibrosis to perform a tailored RF ablation of persistent atrial fibrillation
Authors: Rillo Mariano , Palamà Zefferino
Published: July 2024

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Exploration of the Integration of Immersive Media Technology into Ideological and Political Education Courses in Colleges and Universities
Authors: Xie Tao , Dong Chen , Ren Siwei
Published: July 2024

Currently, the teaching of ideological and political courses in colleges and universities faces some problems and challenges. On the one hand, the traditional teaching methods of ideological and political courses are single and lack innovation, which are difficult to meet the diverse needs of students; on the other hand, students' participation in ideological and political courses is not high, lacking enthusiasm and initiative. In addition, with the popularization and application of information technology, students have more diversified channels to obtain information, which puts higher demands on the teaching quality and effectiveness of ideological and political courses. This article focuses on the characteristics of immersive media technology, as well as the advantages, problems, and solutions of using immersive media technology to improve the teaching effectiveness of ideological and political theory courses in colleges and universities. Firstly, it introduces the development status and characteristics of immersive media technology. Secondly, it analyzes the outstanding advantages of immersive media technology in teaching from the following aspects: virtual reality and augmented reality; sensory stimulation and emotional experience; as well as human-computer interaction and self-harmony. Thirdly, it proposes ways to improve teaching effectiveness based on immersive media technology from three aspects: theoretical research, historical research, and practical research of ideological and political courses in colleges and universities. Finally, it discusses the problems existing in the teaching of these courses using immersive media technology and proposes solutions.
Research on the Value Evaluation of Tourism Resources in Hangzhou Section of Beijing-Hangzhou Canal
Authors: Yin Zekai
Published: July 2024

The Beijing-Hangzhou Grand Canal is an important and great cultural heritage in China and even the world. It has a history of more than 2,500 years from the initial excavation to the continuous repair. To this day, people can still pass through the canal. However, under the background of cultural and tourism development in recent years, the tourism development around the canal and its surrounding areas has also begun to become popular. So, the canal tourism development, what aspects from? How to effectively develop the relevant resources on the basis of retaining the original heritage are all urgent problems to be solved. From the perspective of history and culture, the paper will briefly evaluate and study the value of the Hangzhou section of the Beijing-Hangzhou Canal, hoping to supplement the above problems.
Research on the Application of Vehicle-Road Cooperative Autonomous Driving
Authors: Liu Xia , Wang Baizheng , Shao Wen
Published: July 2024

In order to solve the safety problem of bicycle intelligence under extreme conditions, a vehicle-road cooperative autonomous driving solution is proposed. The solution completes the real-time data interaction between intelligent networked vehicles and C-V2X (Cellular Vehicle-to-Everything) cloud platform through cellular network communication technology, GPS high-precision positioning technology, edge cloud collaboration and edge computing technologies, realizes "vehicle-road-cloud" digital information sharing, and improves vehicle driving safety and road traffic efficiency.
How to Enhance Students’ Writing Self-efficacy to Improve Their Writing Performance
Authors: Yang Lingyu
Published: July 2024

The new high school English curriculum standards emphasize core literacy development, including writing skills. However, students struggle with English writing, hindered by low self-efficacy. Enhancing self-efficacy is vital to improve writing performance and advance writing instruction reform. This paper explores the positive effect of self-efficacy on writing and proposes teaching strategies to boost it. Based on curriculum content, we offer specific teaching modes. This research offers fresh perspectives for implementing new standards and practical methods for teachers to overcome writing barriers, boost students' self-efficacy, and ultimately enhance their English writing abilities.
Study of the Development Status and Potential Solutions for Improving the Logistics of Power Battery Reverse Logistics
Authors: Zhang Xiyu
Published: July 2024

In recent years, there has been a notable surge in the production and sales of new energy vehicles, driven by a confluence of factors including economic growth, enhanced environmental consciousness, and the growing awareness of the scarcity of natural resources. This growth has been facilitated by the joint efforts of the government and vehicle manufacturers. As a central component of new energy vehicles, the market demand for power batteries is also expanding rapidly. In consideration of the warranty period of automobiles, the peak elimination of power batteries is imminent. In light of the current state of automotive power battery recycling reverse logistics and the associated challenges, this paper presents a series of proposed measures and recommendations with the aim of fostering the advancement of power battery recycling reverse logistics. In the context of the circular economy, these suggestions will assist the power battery recycling industry in achieving a more rational and efficient planning of investment decisions, facility configuration, network layout and human resource allocation. Furthermore, they will provide a basis for the government to introduce encouraging policies.
Research on the tort liability of network service providers
Authors: Yan Tingting
Published: July 2024

In the context of the rapid development of the Internet, the incidence of online infringement is also rising. With the diversification of online infringements, the infringing subjects include not only ordinary users, but also network service providers. According to the relevant provisions of the Civil Code, the principle of attribution of liability for network infringement of network service providers is usually general fault liability. However, tort prevention liability that is not for the purpose of compensation for damages is not conditional on fault. In indirect infringement, the liability of the network service provider and the direct infringer is usually in the form of aiding in joint infringement, and the former is guilty of helping the infringer. In the event of a data breach, the network service provider usually bears additional liability for violating the security obligation.
Study on Logistics Cost Management of S Hemp Products Company
Authors: Yang Simin , Zhuo Yumei
Published: July 2024

With the rapid development of economic globalisation, the two profit sources of "resources" and "manpower" can no longer simply meet the economic profits generated by enterprises, and the logistics field, which is called the "third profit source", has begun to be favoured by management. "The logistics field is beginning to be favoured by the management, which means that the logistics cost management in China's enterprises is getting higher and higher. If the enterprise logistics cost management has obvious effect, not only can help the management to make the right decision, but also can effectively enhance the economic benefits of enterprises, and then make the comprehensive strength of enterprises to enhance, is conducive to the rapid development of enterprises in the environment to stand firm. Based on this this paper mainly on the S hemp products company logistics cost management issues for research.
Problems and Countermeasures of Industrial Land Transformation from the Perspective of Transaction Costs
Authors: Zhou Weiwei
Published: July 2024

The importance of deepening the mode of conversion of industrial land use in the context of new business is self-evident. However, in concrete practice, there are still many difficulties and challenges in the conversion of industrial land, such as the slow progress of conversion, the difficulty of land transfer, and the reluctance of land right holders to convert. One of the major reasons for the difficulty of conversion is the high transaction cost behind conversion, which makes it difficult to transfer industrial land and increases the complexity of converting inefficient and stocked industrial land.So to date, few academics have analyzed the transformation of industrial land in depth from the reason of transaction cost. Thus, this paper will analyze the reasons for the difficulty of industrial land transformation from the transaction cost theory in new institutional economics, and try to put forward corresponding countermeasure suggestions, so as to provide new perspectives for relevant departments and scholars to promote the study of industrial land transformation.
The Integration of Legal English Education and Dramatic Elements in the Film Chicago
Authors: Cai Yujie , Wang Guifang
Published: July 2024

This study is based on the Oscar winning film Chicago, exploring the deep integration of legal English education and dramatic elements, and bringing new ideas to legal English teaching. Through in-depth analysis of the embedding of legal English education and dramatic elements in the film, as well as their role in narrative promotion, it aim to demonstrate how dramatic expression can better help students understand legal concepts, inspire students to deeply interpret social fairness and justice, and inject new vitality and innovation into legal English courses. This article will summarize the significance of integrating legal English and dramatic elements in legal English education based on the case studies in Chicago, and propose prospects and suggestions for the future development of legal English education.
Research on sports injury of competitive aerobics athletes in China West Normal University
Authors: Zheng Zhirong , Cao Longan , Qin Chaoling
Published: July 2024

With the continuous improvement of the level of competitive aerobics in universities and colleges, the risk of sports injury is also increasing. This paper takes 31 athletes of the aerobics team of China West Normal University as the research object, and comprehensively adopts the research methods of questionnaire survey, literature data and mathematical statistics to study the sports injury of competitive aerobics athletes of this university. In order to promote the healthy development of competitive aerobics in colleges and universities, this paper analyzes the rules and characteristics of athletic injury, injury sites and types, injury causes and main problems of athletic injury.
Research Progress on Water Treatment Membranes based on New Photocatalytic Materials
Authors: Li Qingyu , Jiang Dengling
Published: July 2024

While achieving the separation requirements, the photocatalytic water treatment membrane can use its photocatalytic ability to degrade the pollutants on the surface of the membrane, inhibit the growth of bacteria, and reduce the membrane pollution, which shows unique advantages in water purification and wastewater treatment. Firstly, the basic mechanism of photocatalysis is briefly introduced, and the structure and performance characteristics of different new photocatalytic materials are summarized. Then, focusing on the design and development of photocatalytic water treatment membranes, the application and water treatment performance of graphite carbon-nitride (g-C3N4), carbon quantum dots (CQDs), layered dihydroxide (LDHs), metal-carbon/nitride (MXenes), metal-organic frameworks (MOFs) and covalent organic frameworks (COFs)-based photocatalytic water treatment membranes were emphatically discussed. Finally, the problems existing in the photocatalytic water treatment membrane are analyzed in depth, and its future development is prospected.
English Reading Teaching in Junior Middle School based on Schema Theory
Authors: Zhang Ruowen
Published: July 2024

English reading teaching has always been a key link in English teaching, which is not only related to the accumulation of students' language knowledge, but also related to the cultivation of students' reading ability. Schema theory, as an effective cognitive psychology theory, provides a new perspective and method for junior high school English reading teaching. This paper starts from three types of schemata, namely language schemata, content schemata and formal schemata, and uses middle school textbooks to illustrate the importance and practical significance of schema theory in middle school English classes, aiming to provide reference for middle school English teachers. Only by activating and expanding the readers' existing schema consciously, can the readers think actively in the process of reading, and then improve their comprehension abilities and reading effects.
The Use of Schema Theory in the English Vocabulary Teaching
Authors: Xiao Yang
Published: July 2024

Vocabulary is one of the three basic elements of a language. However, in many senior high schools, in the actual practice of senior high school English teaching, vocabulary teaching is not fully valued as it should be. Not only are teachers’ teaching methods simple and single, but also students are still given priority to memorize vocabulary by rote. The schema theory combines the known knowledge structure in people's brain with the new knowledge system to complete knowledge input. The purpose of this thesis is to apply schema theory to English vocabulary teaching in senior high school, so that students can learn to connect new concepts with their known knowledge to get familiar with the meaning of words and various uses of words, so as to help students expand their existing vocabulary.
Review of The Research Status of Numerical Simulation of Dike Pipe Surge
Authors: Tan Wen
Published: July 2024

Dike pipe surge is a threatening water conservancy engineering disaster which refers to a large amount of groundwater flow phenomenon inside the dike due to the concealment of pipe surge. This lack of in-depth study of the pipe surge mechanism seriously affects the safety of people's lives and property. In recent years, with the development of science and technology, numerical simulation technology has been widely used in water conservancy projects, allowing for more accurate simulation and prediction of dikes and foundation pipe surges. By organizing the current research status at home and abroad, this paper summarizes the research status of pipe surge from three directions: numerical simulation research of pipe surge, factors affecting pipe surge research, and visualization research of pipe surge occurrence mechanism. Based on this, the future development trend of numerical simulation research on dike pipe surge is predicted.
Design and Implementation of an Official History Mobile Game Solution based on 3D Technology
Authors: Zhu Wentao , He Jieyou , Shu Wenjun , Shu Shiyou
Published: July 2024

In the current era of digitization and intelligence, the inheritance and innovation of historical culture are facing unprecedented opportunities and challenges. This proposal aims to propose a mobile game plan that combines the Twenty Four Histories with 3D technology, aiming to present China's profound historical and cultural heritage to users in a new way through modern technology, and achieve the popularization and inheritance of historical and cultural heritage.