bluuebunny/crossref_metadata_2025 huggingface dataset:
Enterprise Brand Building Empowered by Chinese Culture -- Taking Moutai as an Example
Authors: Suo Xintong
Published: July 2024

Chinese culture has a profound impact on enterprise brand construction, enterprises in the brand construction to establish a good reputation and image, which is consistent with the principle of advocating integrity in Chinese culture, enterprises in the brand construction of the Chinese traditional cultural elements into the product design and marketing activities, enhance the brand uniqueness and attractiveness. Chinese culture emphasizes drinking culture, and Moutai is a traditional high-end liquor based on Chinese culture. Its unique brewing process and long history perfectly reflect the pursuit and unique insight of Chinese culture for wine making. As a traditional brand, Moutai inherits and carries forward traditional Chinese values and family culture through the production skills and drinking ceremony passed down from generation to generation. With its noble temperament and exquisite packaging, Moutai wine shows the elegance and charm of Chinese culture, and has become a good product for domestic and foreign feasts and ceremonial occasions. When Moutai was negatively affected by the macro environment, Moutai still relied on cross-border co-branding, cultural integration and digital integration of Chinese culture to get out of the dilemma.
The Comparison of Shadow Banking System Between in US & China: Definition, the Formation Way, Reason for Lack of Regulation, the Development, and Shadow Banking System
Authors: Sun Ruiting , Sun Ziyan
Published: July 2024

In recent years, shadow banking has been one of the hotspots of attention in the financial field both at home and abroad, and along with the gains, shadow banking also faces many problems, such as risk potential, regulatory challenges, sources of funds, and protection of investors and so on. However, there are differences in the way shadow banking develops according to domestic and foreign national conditions, economic conditions, and development methods. This article analyzes shadow banking in China and the United States, respectively, and the work compares and analyzes the differences between shadow banking in China and the United States and describes the prospect of shadow banking development. Finally, the work also discusses the relationship between shadow banking and the current hotspots and provides an outlook on the development of shadow banking.
How Does Luxury Affect and Reflect the Society of Modern Society
Authors: Chang Yufei , He Yixuan
Published: July 2024

This article delves into the intricate relationship between social status and consumption of luxury items. It provides an in-depth examination of important works from academics such as Thorstein Veblen, Pierre Bourdieu, Susan B Silverstein and Juliet B Schor. Additionally, data analysis is employed in this research study to demonstrate a correlation between GDP per capita growth and demand for luxury products as measured by LVMH's financial results. These findings underline the link between financial security and luxury goods consumption, further cementing wealth's relationship with high-end items. However, as noted in the paper, this relationship can be intricate, as different considerations such as individual goals, social pressures and cultural norms all play an integral part. Future study should explore more complex understanding of luxury consumption by exploring customer behavior, market segmentation, psychological considerations and economic issues. Overall, this research serves as an effective platform for further investigation in this fascinating subject and offers advice to luxury firms who wish to adapt their marketing plans according to changing consumer needs.
Challenges and Strategies for Green Transformation in Logistics Procurement Business: Case
Study of SF Express
Authors: Xie Xikai
Published: July 2024

This study explores the challenges and coping strategies logistics enterprises face in green
transformation in procurement management operations. By analyzing the current situation of
logistics enterprises, it is found that there are many problems in the traditional procurement
model, such as focusing on profit and price while neglecting product quality and long-term
partnership. At the same time, the cognitive level of logistics enterprises in green logistics
procurement is low, and green supplier selection is influenced by price and profit. This study
proposes strategies for establishing and improving green procurement management systems and
policies, developing green procurement standards, and setting up evaluation mechanisms to
facilitate logistics enterprises' transition towards green. Through case analyses, it is found
that some enterprises have begun implementing green procurement and achieved positive results.
Finally, this study emphasizes that the government has strengthened its policy support and
supervision of green logistics procurement to promote logistics enterprises to make greater
progress in green transformation.
Application of Sentiment Analysis to Explore the Connection Between Public Sentiment and
Stock Price Movement by Python
Authors: Lau TszYan
Published: July 2024

This study aims to research the relationship between sentiments of public and the trend of
the stock. Specially, it focuses on analyzing how positive or negative sentiment correlated to
the trend of stocks. In methodology, this research investigates the predictive power of public
sentiment on stock market trend by analyzing users comments on Reddit by utilizing Python Reddit
API Wrapper (PRAW) to systematically web-scrape relevant financial discussion from a subreddit
called stocks. After the data collecting, preprocessing step is conducted to removing noise and
standardize text. Eventually, sentiment analysis is applied to analyze the sentiments of
comments by using Natural Language Processing (NLP) techniques. This approach allows for an
in-depth examination of the correlation between the sentiments expressed in Reddit comments and
subsequent stock price fluctuations by comparing the outcome and the actual price movement.
Eventually, through the comparison between the sentiment analysis result and actual stocks
movement, the sentiment of public comments shares the same trend with the market movement.
A Financial Analysis and Valuation of Tesla
Authors: Wei Zehua
Published: July 2024

The pressing issue of global warming, fueled by excessive carbon dioxide emissions, has
spurred global concern. Researchers highlight the potential of new energy vehicles, particularly
electric cars, in significantly mitigating greenhouse gas emissions. As demand for electric
vehicles rises, attention turns to companies like Tesla, spearheading this transformative
industry. This study delves into Tesla's financial landscape in 2023, juxtaposing it against
other electric vehicle manufacturers, aiming to unveil Tesla's comparative advantages.
Leveraging data sourced from Yahoo Finance, the study employs a comprehensive financial
analysis, focusing on liquidity, solvency, profitability, and investment metrics. Results
underscore Tesla's remarkable performance across these dimensions, showcasing its impressive
profitability, operational prowess, financial stability, and investment appeal relative to its
competitors. This report stands poised to guide investors intrigued by Tesla's potential,
offering valuable insights into the company's financial health and positioning within the
burgeoning electric vehicle sector. Through such analysis, stakeholders can make informed
decisions in navigating the dynamic landscape of sustainable transportation investments.
The Impact of SHEINs Content Marketing on Consumer Perceptions in the Digital Marketing
Process
Authors: Huang Tianhong
Published: July 2024

With the rapid development of the Internet and digital technology, content marketing
strategy has become increasingly important in the field of digital marketing. However, there is
insufficient research on how a brands digital content marketing affects consumers purchase
intention, especially among emerging brands. In this study, the SHEIN brand was used as a
reference. Through a comprehensive literature review and in-depth case analysis, this research
systematically explores its core digital content marketing strategy and reveals the core
elements of its success. The research results show that SHEINs user-generated content (UGC)
strategy in digital content marketing, especially social media marketing, encourages consumers
to independently shoot and write SHEIN product content, thereby increasing new consumers product
recognition and thus influencing consumers purchases. This strategy not only deepens consumers'
positive impression and awareness of the SHEIN brand but also significantly enhances their
purchase intentions. Through this analysis, brands can effectively attract and retain customers
by articulating their core values and developing precise digital content marketing strategies
accordingly. This research provides valuable insights into how brands can build and implement
effective content marketing strategies in the digital age, especially in terms of how to attract
and retain younger consumers. At the same time, the companies should also realize that with the
continuous advancement of technology, future digital content marketing strategies will continue
to evolve, and brands need to maintain keen insights and constantly adapt to new market
environments and consumer needs.
Analysis of ZARA's Social Media Marketing Strategy in China
Authors: Wang Jingjing
Published: July 2024

The rapid iteration of the fashion industry and the influx of numerous niche emerging fast
fashion brands into the market have driven continuous innovation in social media marketing
strategies, with new promotional methods constantly emerging. This article, utilizing literature
analysis and observational methods, examines ZARA's social media marketing strategy in China.
This analysis is beneficial for companies in the fast fashion industry, particularly those
looking to expand their influence in the Chinese market. After a detailed analysis of the
characteristics and marketing methods of Chinese social media platforms, the impact of external
factors on Chinese consumers, and ZARA's social media presence, the article provides detailed
recommendations for social media marketing strategies. ZARA, as a pioneer in the fast fashion
industry, has established a certain market presence on Chinese social media platforms. However,
its promotional strategy still shows potential for improvement. On platforms like Weibo and
Little Red Book, ZARA's content strategy lacks specificity and diversity. In contrast, its live
streaming marketing on platforms like TikTok demonstrates excellent visual effects and
interactivity. This article provides several specific recommendations for ZARA's social media
marketing strategy in China, such as strengthening brand storytelling and product showcases on
Little Red Book, hiring celebrity endorsements, and regularly hosting styling challenges on
TikTok. In summary, by implementing these strategies, ZARA is poised to achieve more effective
brand building and market expansion in China's social media landscape.
The Risk Assessment of Banks and Financial Institutions
Authors: Tang Shengyu
Published: July 2024

This thesis investigates the profound impacts of the COVID-19 pandemic on the banking
sector, focusing on how the crisis has reshaped risk management and operational strategies. It
begins by contextualizing the pandemic's effects within the broader historical challenges faced
by the banking industry, drawing parallels with past financial crises to outline the uniqueness
of the current situation. Through a detailed analysis of operational, credit, and market risks,
this study reveals how banks have responded to the increased volatility and the shift in
consumer behaviors towards digital banking solutions. The research adopts a mixed-method
approach, combining quantitative data from financial reports with qualitative insights from
industry experts to provide a comprehensive overview of the pandemic's impact. Key findings
suggest that the crisis has catalyzed significant changes in risk management practices, with
banks rapidly adopting technological innovations to enhance resilience and operational
efficiency. The conclusion posits that the ongoing challenges require banks to evolve,
advocating for a proactive approach to risk management and a strategic embrace of digital
transformation. This thesis contributes to the academic literature by providing empirical
evidence of the pandemic's impacts and offers practical recommendations for banks and
policymakers to mitigate future crises effectively.
Analysis of Personalized Marketing Strategy: A Case Study of Xiaohongshu in China
Authors: Fang Ziyue
Published: July 2024

This paper analyzes the personalized marketing methods of Xiaohongshu and demonstrates their
benefits through successful case studies of Pizza Hut and Under Armour (UA). The study begins
with an introduction to Xiaohongshu and its development history, highlighting its unique role in
digital marketing. Following this, the paper provides an in-depth analysis of personalized
marketing campaigns by Pizza Hut and UA on Xiaohongshu, showcasing how the platforms advanced
algorithms and user-centric strategies enhance brand visibility, user engagement, and customer
loyalty. The research reveals specific strategies like targeted content creation, influencer
collaborations, and data-driven insights. The findings show that Xiaohongshus personalized
marketing significantly boosts brand awareness, engagement rates, and customer retention. By
summarizing successful patterns and experiences, the paper offers valuable insights into the
practical applications and commercial potential of personalized marketing on Xiaohongshu. This
study contributes to digital marketing by providing new perspectives and strategies, emphasizing
the transformative impact of personalized marketing on brand performance and consumer
relationships.
The Impact of Investor Expectation on the Financial Decision-Making
Authors: Xu Zihan
Published: July 2024

Unlike traditional finance, behavioral finance challenges the traditional financial theory
of investor rationality, emphasizing that investors are not absolutely rational in real life.
This perspective provides new insights for understanding and predicting financial markets. This
study examines core concepts in behavioral finance, such as loss aversion, market anomalies,
momentum effects, reversal effects, endowment effects, and framing effects, and analyzes how
they influence investors' financial decisions. These concepts highlight the significant role of
human psychology and behavior in shaping financial decisions, thus aiding investors in making
more rational choices in complex financial markets. Loss aversion, for instance, suggests that
investors are more sensitive to losses than to gains, leading to suboptimal decision-making.
Market anomalies, such as price bubbles and crashes, indicate that markets are not always
efficient. Momentum effects suggest that past stock performance can predict future trends, while
reversal effects point to the tendency of extreme stock performances to revert to the mean. The
endowment effect reveals that individuals value their own possessions more highly than similar
items they do not own. Lastly, framing effects demonstrate how the presentation of information
can influence decision-making. Future research can delve deeper into how the framing effect can
be harnessed to improve the design and marketing strategies of financial products, thereby
enhancing the efficiency and effectiveness of investment decisions. This exploration could lead
to more sophisticated financial products and better-informed investors, ultimately contributing
to a more stable and efficient financial market.
Leveraging Social Media Marketing: A Case Study of Starbucks Digital Success
Authors: Zhu Yixuan
Published: July 2024

With the development of communication technologies like social media, consumption has
fundamentally changed. This study examines the impact of the digital and social environment on
consumer behavior and business practices by analyzing Starbucks successful practices in social
media marketing. The study finds that Starbucks has effectively increased brand awareness and
customer engagement on major social platforms such as Instagram, Twitter and Facebook through
high-quality content marketing, collaborations with online celebrities and active user
engagement strategies. Starbucks communicates brand values through visual storytelling and
builds a strong customer community with user-generated content and interactive activities. The
findings suggest that companies in the retail and restaurant industries can learn from Starbucks
experience to enhance emotional connections with customers and brand loyalty by maintaining
transparency, building communities, collaborating with web admins, and creating visual content.
This study is an important reference for industry practices, emphasizing the importance of
continuous innovation in the rapidly changing social media landscape.
Research on the dual source inventory system of perishable product warehouse using recurrent neural networks
Authors: Sun Fangyu
Published: July 2024

For a long time, the academic community has been searching for the best strategy to replenish inventory from multiple suppliers. To address these optimization problems,inventory managers need to decide how much to order from each vendor in the case of net inventory and outstanding orders in order to minimize the expected backlog,holding and procurementocsts jointly.Especially in terms of perishable products, there are many factors to consider. Scholars have been studying this issue for a long time, and there are many factors that need to be considered, such as how to minimize procurement costs. This article incorporates dynamic inventory and dynamic demand into the design of recurrent neural networks from the perspective of neural networks. The results indicate that using deep neural network optimization methods can obtain high-quality solutions and open up a new approach for effective management of complex high-dimensional inventory dynamics
A path planning generator based on the Chaos Game Optimization algorithm
Authors: Li Jialong
Published: July 2024

This research paper explores a novel path planning generator that leverages the Chaos Game Optimization (CGO) algorithm, a mathematical technique inspired by the chaos game that creates fractals. The CGO algorithm is applied to analyze fractal configurations and self-similarity problems in path planning. The paper provides detailed information about the initialization of candidate solutions and the iterative process of updating their positions and fitness values. Through MATLAB simulations, the paper demonstrates the CGO algorithm's effectiveness in generating optimal paths in complex scenarios with randomly generated blocks or labyrinth environments. The approach shows great potential in enhancing the capabilities of autonomous robots in navigating dynamic and challenging environments. This paper also simulated the path planning generator using the CGO algorithm in MATLAB. By implementing chaos theory and randomness, the CGO algorithm provides a robust and efficient solution for path planning, enabling robotic systems to handle complex and nonlinear problems. The paper concludes that the application of chaos theory in robotics opens up exciting possibilities for advancing the capabilities of robotic systems and enhancing their performance in real-world scenarios.
Uncertainty-aware motion planning for autonomous vehicle: A review
Authors: Lu Haodong , Xu Haoran
Published: July 2024

This paper reviews a recently developed uncertainty-aware motion planning algorithm vastly applied to autonomous vehicles. Many vehicle manufacturers shifted their focus from improving vehicle energy conversion efficiency to autonomous driving, aiming to bring a better and more relaxed driving experience to drivers. However, many past motion planning algorithms used for autonomous driving were immature, so many errors were reported. These errors may put human drivers in life-threatening danger. Consisting of two connected systems supported by a well-trained graph neural network, the uncertainty-aware motion planning algorithm uses two related sub-systems to predict the motion of surrounding object and make necessary maneuvers accordingly. Using evidence from many research papers, an uncertainty-aware motion algorithm is an efficient and safe solution to insufficient consideration of the surrounding environment of vehicles. Even though its ability is primarily limited by the accuracy of sensors and the complexity of background, the unique advantage of this algorithm gives an alternative direction to the development of algorithms in autonomous vehicles.
Identify sound in raucous acoustic environment
Authors: Zhuang Borui , Zhang Yuchen , Wang Zhongyu , Liu Zixuan
Published: July 2024

Due to 2023, over 200 million people worldwide are visually impaired. The needs of people with visual impairments receive scant attention in todays world. Most of them cannot walk independently on Crowded thoroughfares. There are still some challenges in developing assistive devices for the visually impaired. This paper focuses on a classification system within the earphone worn on the ear that can distinguish between different sounds and can be located by the Sharpless of the sound waves. The proposed method comprises two main modules: the first is to transfer the audio signals to Spectrograms, which is done in Python, and then a trained Convolutional Neural Network (CNN) is used in Matlab to identify different types of sounds. When tested in a real-life environment, this system proved useful and accurate in identifying dangerous signals. This innovation is intended to provide them with the optimal time to evacuate dangerous areas, ensuring their safety.
Comparative analysis of transformer and GoogleNet models in image classification based on the CIFAR dataset
Authors: Xie Xinran , Yan Qinwen , Li Haoye , Yan Sujie , Jiang Zirong
Published: July 2024

Image classification plays a pivotal role in numerous applications, with substantial implications for daily life, including diagnosing disease from medical images and management of images in autonomous vehicles. However, such sort of research in this field continuously challenges scientists in terms of choosing datasets, testing accuracy, and improvement of models, etc. In this paper, we focus on the performance of two prominent models GoogleNet and residual attention network. We construct two models on the Python platform according to available online resources. To assess their capabilities, we employ the CIFAR-100 dataset, a widely used benchmark dataset. Despite the simplicity of our implementations, GoogleNet comprises approximately 75 convolutional layers and inception modules, and the Residual Attention Network incorporates multiple attention modules within its architecture. These characteristics demonstrate the models' potential for achieving exceptional classification results. Through comprehensive testing and visualization, we aim to provide insights into the efficacy of these models in the context of image classification. Our study contributes to a broader and profounder understanding of their suitability for real-world applications. According to our diagrams and analysis, we conclude that although attention56 is suitable to be adopted in image classification concerning its structure since the model is unstable and invalid in a wide range of training image data on dataset SIFAR100 it might not be exploited in practice. However, as to the model GoogleNet, with an increasing number of training, it obviously is prone to robustness and solid capability of noise resistance. Therefore, GoogleNet is a suitable one to be employed in image classification.
奖励对工作场所节能动机影响及节能对策的研究
Authors: 李 星宇 , 李 天宇
Published: July 2024

近年来，面对全球‘生态赤字’的严峻形势，资源、环境与经济的发展问题受到了一众国家及国际组织的高度重视，追求环境的可持续发展成为众多国家的发展目标。依据“加快生态文明体制改革，建设美丽中国”的要求，企业作为我国经济建设的中坚力量，能源消耗巨大，因此推动企业节能发展对我国生态文明建设具有重要意义。奖励在现代企业环境体现为对员工荣誉感和进取心的焕发及员工潜能的挖掘与培养，简而言之就是对员工积极性调动的一种手段。欧洲地区许多企业设立耗能指标，并据此对员工的节能效果进行评估表彰。本研究尝试通过实地调研来验证“欧洲经验”在我国公司治理应用的可行性。
Integrated management of citrus leafminer in the nursery
Authors: Akter Sumaiya , Uddin Mohammad , Alam Md , Nahar Naznin
Published: July 2024

Citrus is one of the most important fruit crops of Bangladesh in terms of acreage, production and economic value to growers. However, citrus production is severely compromised by citrus leafminer (CLM) affecting both nursery and orchard. Citrus growers conventionally spray different chemicals to control this insect which negatively impact their environment and health. Therefore, alternative management options to conventional practice was required. To provide effective integrated pest management (IPM) option(s) to manage CLM in the nursery, studies were conducted in a commercial horticultural nursery. First, seasonal infestation of this insect was monitored under grower’s management practice. Second, an experimentation was conducted in randomized complete block design with seven treatments each replicated thrice: (i) Sanitation (removal of infested leaves weekly) (ii) Imidacloprid (0.5 ml/L of water) + Sanitation (iii) Detergent mix water (28 gm/L of water) + Sanitation (iv) Spinosad (0.5 ml/L of water) + Sanitation (v) Cypermethrin (1 ml/L of water) + Sanitation (vi) Grower’s conventional practice (Chlorpyrifos @1 ml/L of water) and (vii) untreated control. Seasonal infestation of CLM remained over 30% of the three months (June, July and August) monitored. All the implemented treatments reduced percent leaf infestation, number of mines and larvae per twig compared to untreated control. Sanitation alone substantially reduced leaf infestation to 21.50%, number of mines per twig to 13.33 and number of larvae per twig to 5.11. Combining spraying (Imidacloprid, Cypermethrin, Detergent mix water) with sanitation practice could not provide further control. However, combining a biorational insecticide Spinosad provided a better control and further reduced the leaf infestation, number of mines and larvae per twig. Number of a generalist predator, ladybird beetle was reduced in all treatment plots, however, sanitation alone or in combination with Spinosad spraying, both practice, harmed it less. Citrus growers can be recommended to implement only sanitation or in combination with Spinosad spraying.
Analysis of black comedy elements in "The Annual Meeting Must Not Stop"
Authors: Lu Feiyang
Published: July 2024

"The Annual Meeting Must Go On" is one of the representatives of contemporary literary works. By subverting traditional annual meeting customs and ingeniously integrating elements of black humor, the work reveals deep-seated social realities and conflicts of human nature behind the laughter. Starting from the exploration of the definition of black humor, the article digs into the artistic expression of black humor in "The Annual Meeting Must Go On" by summarizing and comparing similar narrative techniques in various literary works, such as the clever use of dialogue, prominent contrasts in setting scenes, and extreme characterization of characters. Through in-depth investigation, the study validates the unique artistic charm and profound social significance of black humor as a literary narrative technique in shaping a dark worldview and revealing deeper meanings.
The construction logic, dilemma and solution of the characteristic of traditional physical education curriculum
Authors: Cao Longan , Zheng Zhirong , Lang Jun
Published: July 2024

School is the "incubation base" and "test ground" of talent training. The vigorous development of traditional national sports must rely on the power of school education. In recent years, with the continuous improvement of social attention, the exposure of traditional ethnic sports on campus is also increasing, and more and more people participate in traditional ethnic sports. By using the methods of literature, logical analysis and field investigation, this paper constructs the evaluation model of ideological and political construction of traditional physical education curriculum guided by CIPP evaluation theory, and explores the construction logic, dilemma and solution path of the characteristic construction of traditional physical education curriculum. Construction logic: Based on the embedding of CIPP model into traditional physical education curriculum, aiming at promoting the high quality of traditional physical education curriculum, focusing on promoting the comprehensive development of students, demanding the improvement of teachers' professional vision, and taking the continuation of national characteristics culture as the essence, this paper expounds the applicability of traditional physical education culture into campus. Difficulties: lag inherent defects in the region, differences in scene application, fuzzy teaching style ideas, lack of traffic driving effect, learning evaluation feedback bias, and unbalanced data ecological environment. Crack the path: strengthen the construction of excellent traditional sports culture campus inheritance base, create a scene characteristic development model; Pay attention to the excellent traditional sports culture professional teacher training, build a digital talent training mechanism; Strengthen the education of Chinese sports culture identity, and realize the symbiosis and mutual promotion of cultural identity and cultural inheritance.
Study on the Application of Dictogloss in Senior High School English Listening Class
Authors: Wen Jinxin
Published: July 2024

As society moves forward, the importance of listening in English has become a social consensus. However, listening in English has been neglected in important exams, with students finding it the most difficult skill to acquire. This study takes dictogloss in senior high school English listening class as the research object. First, dictogloss can activate the prior knowledge of students. Second, it encourages interaction and communication, which can develop students' negotiation and communication skills. What’s more, dictogloss requires group work. Moreover, dictogloss gives students the freedom to use and practice their own language. This paper aim to analyze domestic and international research on dictogloss, introduce definitions, theoretical foundations, characteristics, advantages of dictogloss, and summarize some principles for improving the effectiveness of applying dictogloss in high school English classes. To better apply dictogloss, teachers need to select meaningful listening material with moderate difficulty, activate prior schema of students, ensure effective group work, and treat student errors seriously. With this research, high school teachers can apply dictogloss to classroom instruction and improve the effectiveness of listening instruction.
Study on the Influence of Big Data Tax Collection and Administration on the Stickiness of Corporate Tax Burden
Authors: Liu Dong
Published: July 2024

This paper studies the impact of the application of big data in tax collection and management on the stickiness of enterprise tax burden. By analyzing the existing literature, this paper discusses the advantages of big data in the field of tax revenue and its influence on the stickiness of enterprise tax burden. It is found that big data tax collection and management can improve the efficiency of tax management, reduce tax evasion of enterprises, and then reduce the stickiness of corporate tax burden, and promote the fairness and transparency of the tax system. Finally, this paper puts forward suggestions on improving big data tax collection and management in many aspects, so that big data tax collection and management can better reduce the stickiness of corporate tax burden.
The modernizing turn in higher education in the context of neoliberalism
Authors: Gao Mingjia
Published: July 2024

Since the mid-1980s, the idea of neoliberalism has gradually penetrated into the field of higher education, and has had a profound impact on higher education. This paper discusses the challenges posed by neoliberalism to higher education and the modernization of higher education in this context, aiming at promoting the re-modernization of higher education and realizing the sustainable development of human society and higher education itself.
ПЫЛЕВОЕ ЗАГРЯЗНЕНИЕ НАГОРНЫХ ТЕРРИТОРИЙ СЕВЕРНОГО КАВКАЗА РУДНИКАМИ
Authors: ВОРОБЬЕВ А.Е. , ДЬЯЧЕНКО В.В. , МАДАЕВА М.З.
Published: July 2024

В работе исследованы особенности пылевого загрязнения нагорных территорий Северного Кавказа полиметаллическими рудниками. Обоснован механизм пылевого рассеяния в приземной атмосфере, основанный на проявлении метеорологических условий (роза и интенсивность ветров, величины атмосферного давления), рельефных факторов (горы и ущелья), а также физико- механических свойств пыли. Показано, что выпадение минеральной пыли из приземной атмосферы происходит за счет гравитационного (65 %), электродинамического (до 10 %) и турбулентного (5 %) осаждения, а также вымывания дождевыми осадками и туманами (до 20 %). Установлено, что геохимические закономерности пылевого загрязнения, представленные в виде зональной структуры техногенных геохимических ареалов рассеяния, связаны с отдельными производствами или процессами горных работ. Проанализирована эволюция пылевого загрязнения почв прилегающих территорий, с выделением роли и особенностей наночастиц. Осуществлен учет морфологических свойств наночастиц выделяемой пыли, которая имеет значительную дальность перемещения в приземной атмосфере, существенно увеличивающей площадь загрязнения прилегающих территорий полиметаллическими рудниками.
Predictive Models in the Chronic Disease Diagnosis
Authors: Samantaray Anshuman ,   Dept of Computer Science andvEngineering, Panda Dr. Sujit Ku ,   Dept of Computer Science andvEngineering
Published: July 2024

This paper reviews applications of machine learning (ML) predictive models in the diagnosis of chronic diseases. Chronic diseases (CDs) are responsible for a major portion of global health costs. Patients who suffer from these diseases need lifelong treatment. Nowadays, predictive models are frequently applied in the diagnosis and forecasting of these diseases. In this study, we reviewed the state-of-the-art approaches that encompass ML models in the primary diagnosis of CD. This analysis covers 453 papers published between 2015 and 2019, and our document search was conducted from PubMed (Medline), and Cumulative Index to Nursing and Allied Health Literature (CINAHL) libraries. Ultimately,22 studies were selected to present all modeling methods in a precise way that explains CD diagnosis and usage models of individual pathologies with associated strengths and limitations. Our outcomes suggest that there are no standard methods to determine the best approach in real-time clinical practice since each method has its advantages and disadvantages. Among clustering were the most used. These models are highly applicable in classification, and diagnosis of CD and are expected to become more important in medical practice in the near future. Keywords: chronic diseases; prediction models; pathologies; accuracy; disease classification; K-Nearest Neighbors (KNN); Convolutional Neural Networks(CNN); disease forecasting; disease management.
Research on the Visual Expression of Campus Culture and the Design of Cultural and Creative Products: A Case Study of the Design of Campus Cultural and Creative Products from the Perspective of Education Management
Authors: Tian Sheng , Huang Fei
Published: July 2024

With the continuous development of cultural and creative industries, campus literature creation is an important branch that plays an indispensable role in promoting the construction of the campus cultural economy, promoting the development of the local tourism economy, and improving social and aesthetic education. However, as more colleges and universities have recently rushed to enter the cultural and creative market, campus cultural and innovative products have become a bottleneck period. The problems mainly manifest as serious product homogeneity, the same visual expression form, the imbalance between functionality and commemorative, and the need for systematic planning consciousness. These problems have become critical internal reasons hindering the development of campus cultural and creative products. At the same time, the development of the consumer market has also put forward higher requirements for the artistic aesthetic, use function, cultural connotation, and emotional needs of products. Under the double attack of both inside and outside, how should the campus cultural innovation change? This is a problem that we should think deeply about and study.
Strategi Komunikasi Efektif dalam Pendidikan Anak Usia Dini: Studi Kasus di TK An-Nizam
Authors: Kristina Tobing Hosanna , Gabriela Simanjuntak Mulyani , Anggita Dwi , Amanda Dina , Siska Anggraini Elya , Simare-mare Aman
Published: July 2024

Penelitian ini bertujuan untuk mengidentifikasi strategi komunikasi yang digunakan guru di TK An-Nizam, mengevaluasi efektivitas metode komunikasi tersebut, serta memahami tantangan dalam berkomunikasi dengan siswa. Metode penelitian yang digunakan adalah observasi, wawancara, dan survei terhadap guru, siswa, dan orang tua. Hasil penelitian menunjukkan bahwa penggunaan alat peraga visual dan media interaktif sangat membantu dalam menyampaikan materi pelajaran. Instruksi verbal yang jelas dan sederhana juga efektif dalam membantu pemahaman anak-anak. Partisipasi aktif siswa dalam kegiatan pembelajaran sangat didorong. Penelitian ini menyimpulkan bahwa komunikasi yang efektif sangat penting dalam pendidikan anak usia dini dan memberikan rekomendasi untuk meningkatkan penggunaan media interaktif serta keterlibatan orang tua dalam pendidikan anak.
Pengaruh Disiplin Kerja, Reward dan Punishment Terhadap Kinerja Karyawan Bagian Gudang DC Sakinah Surabaya
Authors: Dyah Aprelia  , Tri Andjarwati
Published: July 2024

This research aims to analyze the influence of work discipline, reward and punishment on the performance of employees at the DC Sakinah Surabaya Warehouse. The type of research used is quantitative research. The research method used is to use a questionnaire in Likert scale units. The sampling technique is saturated samples and SPSS 27 as an analysis tool. The data source used is primary data. The sample population is employees of the DC Sakinah Surabaya Warehouse. The sample consists of 40 respondents. The validity test of the instrument uses Pearson correlation, while the reliability test uses Cronbach Alpha, and data analysis is carried out using multiple regression analysis techniques. The results of the research show that work discipline has a positive and significant effect on the performance of employees at the DC Sakinah Surabaya Warehouse, rewards have a positive and significant effect on the performance of employees at the DC Sakinah Surabaya Warehouse, punishment has a positive and significant effect on the performance of employees at the DC Sakinah Surabaya Warehouse. Work discipline, reward and punishment partially or simultaneously influence the performance of employees at the DC Sakinah Surabaya Warehouse.
Pengaruh Kepuasan Kerja Terhadap Kinerja Karyawan Printing JuraganBendera.com
Authors: Hoiri Hoiri  , Iswati Iswati  , Emilia Pranata
Published: July 2024

This research was conducted to find out about "The Effect of Job Satisfaction on Employee Performance" in accordance with the subject matter raised, namely the effect of job satisfaction on employee performance Printing JuraganBendera.com. The background of this research is the importance of employee satisfaction with their work because it can increase or decrease their performance. employees who find their work enjoyable The recipient of the award will be encouraged to improve their abilities, thus having an impact on improving performance. the whole company. This investigation aims to determine the impact of job satisfaction.
The purpose of this study was to analyze the effect of job satisfaction on employee performance Printing JuraganBendera.com. The method used in this research is quantitative method. The sample used in this study was the entire number of employees including 30 people using the total sampling method. Technical analysis using simple linear regression with the help of SPSS data processing applications. The conclusion of the results of this study is that job satisfaction significantly and negatively affects the performance of Printing JuraganBendera.com employees.
O omento maior pode ser doador de células-tronco ao miocárdio isquêmico?
Authors: Kubrusly Fernando Bermudez , Ribas-Filho Jurandir Marcondes , Nassif Paulo Afonso Nunes , Gewehr Douglas Mesadri , Piovesan João Lucchese , Dos Santos Oscar Capistrano , Do Nascimento-Filho Geraldo Odilon , Kubrusly Luiz Fernando
Published: July 2024

Introdução: Recentes progressos feitos na bioengenharia de enxertos cardíacos oferecem nova modalidade terapêutica para a regeneração do tecido cardíaco pós-infarto do miocárdio. O CD34 é marcador que expressa todas as células precursoras hematopoiéticas e endoteliais, e funciona como fator de adesão celular. O anticorpo que correspondente a este marcador é utilizado na imunoistoquímica para avaliar a formação de novos vasos e a presença de células-tronco.
Objetivo: Avaliar a eficácia da omentopexia na neovascularização e células-tronco.
Métodos:  Revisão colhendo informações publicadas em plataformas virtuais selecionadas (SciELO – Scientific Electronic Library Online, Google Scholar, Pubmed e Scopus).  A busca iniciou-se por descritores relacionados ao tema, identificados por meio do DeCS/MESH nos seguintes descritores: “isquemia miocárdica; revascularização miocárdica; omentopexia; imunoistoquímica; CD34; células-tronco” e seus equivalentes em inglês: “stem cell; myocardial ischemia; myocardial revascularization; omentopexy; immunohistochemistry; CD34”. Foram lidos pelo título e resumo, com busca AND ou OR seguindo-se da leitura na íntegra daqueles com maior relação ao tema. Foram incluídos o total de 23 artigos.
Resultados: O omento maior tem propriedade clínica marcante em conter sítios de danos teciduais. Ele aumenta seu volume tecidual em resposta às partículas estranhas e inflamatórias envolvendo diversas células imunomoduladoras com células progenitoras, em um processo chamado “ativação do omento”.
Conclusão: A cárdio-omentopexia associada à abrasão mecânica e perfurações miocárdicas, mostra ser eficiente na indução de neovascularização. O omento maior promove células-tronco - confirmadas pelo CD34 -, demonstrando grande potencial como futura terapêutica para restaurar áreas de miocárdio isquêmico.
Fatores de risco para aterosclerose em crianças e adolescentes com Síndrome de Down e Cardiopatias
Authors: Sica Caroline D’Azevedo , Wüst Marcelo , Lucini Thaís Caroline Guedes , Foscarini Ana Carolina , Dornelles Ismael Kirst , Pellanda Lucia Campos
Published: July 2024

Nos últimos anos, houve aumento significativo na expectativa de vida e melhora na saúde de indivíduos com Síndrome de Down (SD), devido, principalmente, à prevenção das complicações relacionadas à SD. O objetivo foi avaliar a frequência de fatores de risco para aterosclerose, prática de atividade física e história familiar de risco para doenças cardiovasculares em crianças e adolescentes com Síndrome de Down e cardiopatia congênita acompanhados em um serviço de atendimento multidisciplinar realizado no Ambulatório de Cardiologia Pediátrica do Instituto de Cardiologia do Rio Grande do Sul. Trata-se de um estudo transversal, exploratório e descritivo, envolvendo crianças e adolescentes com Síndrome de Down e Cardiopatia Congênita, uma amostra por conveniência. Foram estudados dados antropométricos, pressão arterial, perfil lipídico, atividade física diária e frequência de fatores de risco familiar para aterosclerose. Foram avaliados 68 indivíduos com Síndrome de Down. A presença dos fatores de risco familiar foi maior para hipertensão arterial, doença arterial coronariana, dislipidemia e obesidade. Apresentou maior prevalência de crianças e adolescentes ativos, 19,1% classificados como muito ativo e 45,6% como ativo. Níveis pressóricos adequados quando avaliados com percentil < 90 para idade e altura, perfil lipídico dentro da normalidade, 33,8% com C-HDL ≥ 45mg/dL, 76,5% com C-LDL ≤ 110mg/dL e 57,4% com triglicerídeos ≤ 90mg/dL. Os resultados deste estudo mostraram que as crianças e adolescentes atendidas neste Centro de Referência em Cardiologia com equipe multiprofissional, são fisicamente ativos, com pouca alteração patológica em valores pressóricos e valores lipídicos para sua faixa etária.
Uma análise do uso de antibióticos hospitalares para a sepse no município de Mogi Mirim – SP
Authors: Silva Luís Otávio da , Silva Ingrid de Oliveira , Gastaldelo Victoria , Magalhães Thainá Cruz , Oliveira Júlia Maria de Souza , Marini Danyelle Cristine
Published: July 2024

A sepse é caracterizada como uma síndrome multifatorial que promove uma resposta imunológica desregulada à infecção, quando não tratada de forma rápida e adequada, evolui para um processo de choque séptico que podem acarretar em falência múltipla dos órgãos e óbito do paciente. O tratamento baseia-se na utilização de antibióticos de amplo espectro, fluidos intravenosos e vasopressores. Deste modo, o presente trabalho teve como objetivo identificar os principais antibióticos hospitalares ministrados no tratamento de sepse do hospital Santa Casa da Misericórdia de Mogi Mirim – SP, para tal foi desenvolvido um estudo na farmácia do hospital, no período de junho e julho de 2023 analisando 100 receituários de antibióticos, sendo selecionados de forma randomizada ao tratamento de sepse. Das prescrições analisadas observou-se que, a maioria dos pacientes 24% apresentava idade entre 41-50 anos, sendo do gênero feminino (55%), tendo como principal foco do uso de antibióticos destinados ao tratamento de infecções pulmonares (33%). Das receitas 79% consistiam no uso de apenas um antibiótico no tratamento, do qual o mais receitado foi o ceftriaxona EV (35%), utilizado em sua maioria para tratamento de infecções urinárias (40%), já os medicamentos combinados consistem em maior parte em ceftriaxona EV + clindamicina EV (77,77%) foram receitados mais frequentemente para infecções pulmonares (57,14%). Assim, o estudo evidenciou que, os usos de antibióticos são essenciais para reduzir o agravamento do processo de sepse, quanto mais grave o processo infecioso maior a dosagem, o tempo de uso e o espectro do antibiótico.
Influência das atividades físicas nos sintomas da asma em crianças e adolescentes
Authors: Gastaldelo Victoria , Trevisan Thierry Fernando , Andrade Geórgia Morandin Gambaroto Milan de , Magalhães Thainá Cruz , Marini Danyelle Cristine
Published: July 2024

A asma é uma doença inflamatória crônica das vias aéreas, caracterizada por um broncoespasmo principalmente dos brônquios e dos bronquíolos, sendo responsável pelos sintomas como; dispneia, chiado, desconforto torácico, tosse seca ou oligoprodutiva, cujo esses sintomas podem piorar com certos fatores alérgicos que predispõem o aparecimento dessa doença, sua característica principal é ter uma broncoconstrição variável, sendo importante para o seu diagnóstico. Objetivo: desse estudo foi avaliar a qualidade de vida em pacientes asmáticos em relação a prática de atividades físicas. Metodologia:  trata-se de uma revisão integrativa no período de março a setembro de 2023, nas bases de dados SciELO, BVS e PubMed usando os termos crianças, adolescentes, atividade física, asma, em concordância com a classificação dos descritores em ciências da saúde. Os critérios de inclusão foram: artigos publicados em português e inglês, entre o ano de 2017 a 2023 estando relacionado a temática da asma associada à atividade física. Resultados: Foram encontrados trezentos e sessenta e cinco artigos, os quais foram submetidos a critérios de inclusão, restando dez artigos incluídos de acordo com a temática proposta, os quais foram analisados na íntegra de maneira individual. Conclusão: nos artigos analisados verificou-se que a atividade física quando em níveis adequados foram benéficas para os pacientes que apresentavam sua asma controlada.