bluuebunny/crossref_metadata_2025 huggingface dataset:
Sistemas de bicicletas públicas compartilhadas: fatores de influência da boa governança a luz dos agentes da quádrupla hélice de inovação
Authors: Leite Karla Denise Castro , Andrade Maurício Oliveira de , Lima Neto Oswaldo
Published: July 2024

Mobilidade urbana como um sistema complexo, exige abordagens integradas para governança. As bicicletas públicas compartilhadas, como parte desse sistema, desempenham um papel importante para cidades sustentáveis. Porém, pouco se fala da governança desses sistemas. Este artigo visa identificar os principais fatores de influência da boa governança dos sistemas de bicicletas públicas compartilhadas na perspectiva dos quatro agentes-chave, governo, empresa, academia e sociedade civil, conforme abordagem da quádrupla hélice de inovação. A hipótese é que engajamento e confiança mútua são essenciais para governança colaborativa e interação entre os agentes. Na metodologia, foram utilizados métodos mistos e como estudo de caso, o Bike-PE. Foram coletados dados a partir de questionário com 27 tomadores de decisão que compõe a governança e questionário com 57 usuários do sistema. Resultados indicam que para os agentes, engajamento e confiança mútua são fatores importantes na tomada de decisão para melhoria do sistema. Os usuários consideram o sistema bom apesar dos problemas com manutenção e logística.
Água ozonizada e hipoclorito de sódio na conservação de manga ‘Palmer’ minimamente processada
Authors: Castro Sabrina Gonçalves Vieira de , Fernandes Martielle Batista , Almeida Luciele Barboza de , Matos Amanda Dayanne Malta , Santos Michelle de Oliveira , Sousa Irisléia Pereira Soares de , Santos João Rafael Prudêncio dos , Silva Bruno Soares da , Mizobutsi Edson Hiydu
Published: July 2024

A manga possui grande consumo na forma in natura, o que torna suas características físicas e químicas muito importantes após a sua colheita. O processamento mínimo atende uma demanda de mercado por produtos com características mais semelhantes ao produto fresco, porém frutos processados apresentam maior atividade metabólica, o que diminui relativamente a sua vida útil. Assim, o objetivo do trabalho foi avaliar tratamentos com hipoclorito de sódio e água ozonizada em doses e tempos distintos na conservação química e qualidade pós-colheita de manga ‘Palmer’ minimamente processada. As mangas da cultivar Palmer foram colhidas de pomares comerciais no estádio de maturação 4. Os frutos foram higienizados e secos naturalmente. Posteriormente foram submetidos aos tratamentos: hipoclorito de sódio (200mg L-1) por 5 minutos; água ozonizada por 10 minutos; água ozonizada por 10 minutos + hipoclorito de sódio (5 mg L-1) por 2 minutos; e testemunha. Os frutos foram imersos nas soluções, descascados e cortados em cubos. Após os tratamentos, 100g de mangas minimamente processadas foram acondicionados em bandejas de poliestireno expandido, envoltos em filme PVC e foram armazenadas em câmara fria (10 ± 1°C e UR 85 ± 5%) por 10 dias. As análises foram realizadas a cada cinco dias, avaliando o pH, sólidos solúveis, acidez titulável e relação SS/AT. Os tratamentos com hipoclorito de sódio e água ozonizada + hipoclorito de sódio obtiverem valores aproximados de pH variando de 3,47 e 3,48, garantindo maior preservação compradado aos demais tratamentos. Os teores de sólidos solúveis mantiveram semelhamentes em todos os tratamentos. Verificou-se um acréscimo da acidez no decorrer do período de armazenamento. Não foi observado diferença entre a relação SS/AT nos frutos avaliados. Os tratamentos com hipoclorito de sódio e água ozonizada são eficientes na conservação das características químicas da manga ‘Palmer’ minimamente processada, revelando-se como alternativa para manutenção da vida útil dos frutos frecos. Trabalhos futuros deverão ser realizados para revelar novas técnicas de conservação pós-colheita de manga minimamente processadas, como estratégias de redução de perdas por descarte dos frutos defeituosos ou com injúrias nas cascas.
Uso de inteligência artificial para previsão de características de compósitos cimentícios reforçados com fibras: uma revisão sistemática
Authors: Moraes Yrlles Araujo , Oliveira Ádamo Henrique Rocha de , Picanço Marcelo de Souza
Published: July 2024

A utilização de compósitos se dá a partir da necessidade de tecnologias capazes de melhorar a qualidade dos materiais empregados. Na construção civil, os compósitos mais comuns são aqueles de matriz cimentícia reforçados com fibras. Entretanto, a dosagem de concretos e argamassas pelos métodos tradicionais depende de ensaios laboratoriais e tende a ser trabalhosa, cara e com possíveis ajustes por tentativa e erro. Desta forma, o desenvolvimento de modelos confiáveis para a previsão de características de compósitos pode proporcionar economia de tempo e redução de custos operacionais. Portanto, este trabalho propõe uma revisão sistemática da literatura de modo a identificar os avanços realizados até o momento no que se refere à utilização de técnicas preditivas de Inteligência Artificial (IA) a partir de dados de compósitos reforçados com fibras. Os principais processos desta revisão consistem em pesquisa acerca da temática, triagem do material, classificação dos artigos, seleção dos artigos do portifólio e leitura e síntese dos artigos. Dessa forma foram elencados os tipos de fibra empregados como reforço, as características previstas e as técnicas de IA utilizadas pelos principais trabalhos disponíveis na literatura. Foi possível perceber que a temática proposta está em crescente desenvolvimento apresentando muitas oportunidades de pesquisa.
Numerical Analysis of Push-out Specimens of Bamboo Scrimber-concrete Composite Structural Connectors
Authors: Xiang Zhengkun
Published: July 2024

As a kind of hot-pressed bamboo high-strength green biomass engineering material, the research and use of bamboo scrimber is in line with the mainstream development of civil engineering field. In order to investigate the damage pattern and force performance of bamboo scrimber-concrete composite structure and find the suitable shear connector type, this paper simulates and analyzes the force situation of the launched specimens of bamboo scrimber-concrete composite structure under three different connection modes of bolt connector, slot-bolt connector and notch-bolt connector with ABAQUS finite element software combined with the experimental situation, so as to determine the reasonable shear connector type; and further clarifies the use of connectors with comparative study of the force parameters of connectors. Comparative study of the force parameters of the connectors further clarifies the use of the connectors. The results show that: the use of notch-bolt type shear connectors is optimal, the damage mode of the bamboo scrimber-concrete composite structure is the crushing damage of concrete at the notch, and the force pattern is obvious during the loading process; the magnitude of notch-bolt connectors on the shear capacity and shear stiffness of the composite structure decreases with the increase of the embedding depth of the screw, and increases with the increase of the length of the notch, the diameter of the bolt, the length of the screw and the number of the bolts.
Marketing Development Path of Small and Medium-Sized Enterprises in Digital Economy Environment
Authors: Zhou Qunli , Tang Gewen
Published: July 2024

With the vigorous development of digital economy, small and medium-sized enterprises are facing unprecedented opportunities and challenges in marketing. This paper deeply discusses the far-reaching influence of the digital economy environment on the marketing of small and medium-sized enterprises, and analyzes the trends of diversification of marketing channels, changes in consumer behavior and data-driven decision-making. On this basis, the specific path of marketing development of small and medium-sized enterprises in the digital economy environment is put forward, including building a digital marketing system, optimizing online user experience, using big data for precision marketing, and strengthening cross-border cooperation and resource integration. These strategies aim to help small and medium-sized enterprises better adapt to the digital economy environment, enhance market competitiveness and achieve sustainable development.
Application of different insects in forensic field
Authors: Chen Siqi
Published: July 2024

Forensic entomology is a burgeoning applied science. It advocates the use of analysis of morphological characteristics, developmental stages and species of insect samples, in order to calculate PMImin, and conjecture the cause of death and crime environment. Due to the absence of an accepted standard and the peculiarities of each case, forensic entomology still has not reached its maximum forensic application value. To achieve more extensive use in the forensic field, the effectiveness and unique superiority of entomological evidence need to be shown. This research primarily focuses on how entomology knowledge applies in court. The existing researches related to forensic entomology have been summarized and analyzed in the following. Factors like bias in evidence collection hinder the development of forensic entomology. However, entomological analysis's potential of being the most efficient PMImin calculation method could not be ignored. To better show how entomology could apply in crime investigation, two Diptera families with forensic significance have been analyzed in detail. The first family is Sarcophagi Dae, which has its special oviposition behavior and specialty of colonizing indoor corpses. The research on Calliphoridae, a species with significant carcass colonization ability, is also essential for the forensic entomology field. On account of the importance of accurate species identification, the global distribution, habitat preference and spawning habits of each family. To improve acceptance of insect evidence in forensic application, the popularization of entomological knowledge needs to be improved, and the absent standard in evidence collection and case report writing also needs to be made up.
A Study of the Application and Effectiveness of Master Data Management in Sinocare
Authors: Peng Wanling
Published: July 2024

With the rapid development of information technology and the exponential growth of data volume, enterprises are generating and processing increasingly large amounts of data in their daily operations. The quality and availability of these data have a critical impact on their decision-making, business optimization, customer relationship management, and risk control. Under such a background, Master Data Management (MDM) emerges as a key component of enterprise informatization management. This paper focuses on Sinocare’s practical application of MDM and its effectiveness. Through an in-depth analysis of the company's implementation of MDM strategy, this paper aims to reveal the impact of data management on enhancing the efficiency of corporate operations, ensuring data quality, and facilitating the optimization of decision-making. It is found that it not only improves corporate operational efficiency, but also leads to more convenient and effective health management services for patients. It demonstrates the key role of MDM in enhancing corporate innovation and market competitiveness.
The Diversification of Responsibilities for Women from Migrant Worker Families: The Continuation of Rural Gender Expectations in Childbearing
Authors: Cao Genxi
Published: July 2024

The gender performances and responsibilities of women within families are often associated with terms such as childbearing and maternity. With the ongoing urbanization, there has been an increase in the number of families migrating to cities for work. Having lived in rural areas for extended periods before migrating, these families are influenced by rural community relations, leading to a diversification in gender performances upon their arrival in cities. The previously singular responsibility of rural women for childbearing becomes multifaceted and complex after moving to the city. Their gender performance is no longer confined to the "family" aspect, subtly contributing to a transformation in gender discourse. This research will examine an interview with mothers from Shenzhen and a scholarly article describing the plight of mothers working at Foxconn. By integrating the concept of "Doing" with Fei Xiaotong's explanations on rural family gender divisions, this study aims to clarify the extension of gender responsibilities for women from migrant worker families and the connection to rural gender expectations for women. Furthermore, it explores how the extension of these gender expectations presents new challenges for migrant working women. Thus, the findings of this study emphasize the importance of diversifying and alleviating the dual dilemmas faced by migrant working women concerning gender expectations.
Corporate Sustainability: An Inquiry into Sustainable Leadership and Corporate Culture
Authors: Li Xiaoyang
Published: July 2024

Since China's reform and opening up, the country's modern family business has developed for over 40 years. Family businesses stand out in the early stages of development because of their low-cost, flexible operations and highly cohesive teams. However, with the expansion of the operation scale or the family business's survival for a more extended period, the enterprise will expose more problems. In this paper, the authors will analyze the obstacles to the sustainable development of family enterprises after researching Chinese small and medium-sized family enterprises using the observation method. The author will also discuss the feasible methods for the sustainable development of family enterprises in conjunction with the relevant literature research. To realize sustainable development, family enterprises must overcome trust barriers, expand recruitment channels, and build a scientific talent training system. Family businesses need to learn the frugality and innovation of sustainable leadership to ensure a competitive advantage. Finally, the article found that employees' sense of identification and belonging to the enterprise is a prerequisite for sustainable development, and corporate culture is an essential factor in influencing employees' identification with the enterprise and establishing employees' sense of belonging to the enterprise.
Composite Materials in Organic Solar Cells - Enhancing Efficiency, Stability, and Versatility
Authors: Zhao Xinyu
Published: July 2024

The prominence of energy and environmental pollution issues has spurred cleaner alternative energy conversion technologies, among which organic solar cells (OSCs) attain extensive attention for their lightweight and flexible properties. However, the stability and photoelectric conversion efficiency (PCE) of OSCs still lag the traditional inorganic solar cells. Notably, the active layers in OSCs predominantly consist of composite materials. This paper analyzes the principles underlying performance enhancement through composites in OSCs, assesses the impact of different composite categories on PCE and stability, and explores their unique role in enhancing the multifunctionality of OSCs. The findings confirm the importance of composites in improving OSC stability and PCE by leveraging the properties of multi-component materials and achieving a synergetic effect. Moreover, employing a ternary strategy in composite applications emerges as a promising method to simultaneously enhance PCE and stability, offering a valuable research direction for OSC development in the future.
Physical Education Implementation and its Impact on Awareness and Sporting Behaviour of Non-Physical Education Students Toward Revitalization of PE Programs
Authors: Wu Yaqi , DR. RIZAL O. DAPAT
Published: July 2024

The study looks into the implementation of physical education courses and the accompanying awareness and sports behavior among college students who do not study PE. The study evaluates four significant areas: sports management planning and content, the physical education curriculum system and evaluation, the development of extracurricular sports activities, and the diversity and social integration instructional model. The results show that implementation in these areas obtained intermediate success ratings, with the physical education curriculum system and assessment ranking the lowest. Additionally, the research assesses students' understanding of health concepts and physical fitness viewpoints, which earned average results. Examining students' sports behavior reveals that involvement and engagement, skill development, sportsmanship, and healthy living choices all earned average evaluations, indicating the need for improved programming. Significant favorable associations were discovered between the adoption of physical education and student awareness and between awareness and athletic conduct. Similarly, there is a considerable favorable correlation between athletic conduct and the implementation of physical education.
Virtual Reality in Language Learning: A Bibliometric Analysis from 2003 to 2023
Authors: Xiong Yuanlu
Published: July 2024

Virtual reality (VR), as a computer-generated immersive environment that provides a highly interactive and simulated learning experience, has attracted great attention in the last decades. This author entered "virtual reality" and "language learning" as core keywords in the Web of Science academic paper database, limiting the search to articles published between 2003 and 2023 and English as the publication language, and obtained 430 articles. Subsequently, the author conducted a bibliometric analysis of these 430 relevant papers using the CiteSpace software. The results show that: (1) China has the largest output of literature on VR-based language learning, followed by the United States; (2) the main contributing institutions include National Taiwan Normal University, National Taiwan University of Science and Technology, and University of London; (3) the literature is mainly distributed in the fields of linguistics, education, and computer science; (4) the main keywords discussed include "immersive learning", "virtual environment", and "interactive experience", and (5) the VR-based language learning is expected to be combined with artificial intelligence (AI) in the future in order to promote English language learning. By systematizing the literature on VR-based language learning, this paper provides a useful overview for scholars or educators who want to further investigate this field.
Design Perspectives: The Value of Urban Greening as an Urban Cultural and Creative Products
Authors: Lin Wei
Published: July 2024

Urban cultural and creative products are the presentation and marketing strategy of the comprehensive style of the city. Many research studies involve the excavation of urban regional characteristics or the renewal of urban natural spaces, but few studies emphasize the cultural connotation of urban greening. This article clarifies the potential value of greening as a cultural product from the perspectives of natural, historical, and social-cultural values, establishing the significance of urban greening productization. Then, by summarizing the existing urban greening design ideas, it is confirmed that the gaps in product design lie in cultural awareness and resource integration. These findings indicate that under the perspective of cultural and creative design, establishing context through cultivating cultural atmosphere and symbolizing cultural semantics and co-creation can provide a reference for urban greening and cultural creative design methods, thereby bringing new ideas to cities in improving cultural soft power from the perspective of natural resources.
Full-Stack Web Development: Building Comprehensive Applications
Authors: Zhang Shuwei
Published: July 2024

This article aims to explore the concept, advantages, and components of full-stack web development. It begins by introducing the definition and importance of full-stack web development, emphasizing its role in modern software development. It then elaborates on the components of full-stack development, including front-end development technologies, back-end development technologies, and database development technologies. Subsequently, it provides detailed explanations of the components of front-end development technologies, followed by those of back-end development technologies and database development technologies. It further discusses the future prospects of full-stack web development. Finally, it summarizes the entire article through a conclusion, highlighting the core concepts of full-stack web development and the importance of future development.
Multidimensional Analysis of Development Indicators for New Energy Vehicles: A Study Based on Principal Component Analysis and Grey Correlation Analysis Model
Authors: Zhao Jianya , Chen Libing , Chen Xuhan
Published: July 2024

The recent rapid growth of the new energy vehicle(NEV)industry has established it as a pivotal force in sustainable development. Yet, challenges in technology, cost, market, and policy hinder its high-quality development. Understanding these factors is essential for policy-making, fostering innovation, and guiding investment. This paper study employed principal component analysis to examine primary indicators' impact on NEV development and a grey relational model to assess various secondary indicators' significance and correlation with industry progress. The study found that while policy measures in China have persistently hampered the industry, market factors have begun positively influencing it since 2019. Furthermore, NEV indicators increasingly shape their own development, with economic factors exerting relatively limited influence. Market and economic indicators like Per Capita GDP and Carbon Trading Price exhibit strong correlations, while indicators linked to NEV characteristics such as range, fuel prices, and vehicle prices closely drive industry advancement, particularly in China's NEV sector.
Study on Reliability Assessment in Structural Analysis Considering Uncertainties
Authors: Liu Xujie
Published: July 2024

This paper provides a comprehensive analysis of the structural integrity of a carport in Boston, designed to withstand a variety of distributed loads and environmental conditions. The structure was constructed primarily of ASTM A36 steel with trapezoidal triangular roof trusses that were optimized for strength and load distribution. Extensive load analysis were performed for local climatic conditions, including dead, wind, snow, and seismic loads. Structural responses, including bending moments, shear, reaction, deflections, buckling, and axial forces, were scrutinized using techniques such as Methods of Joints and internal force analysis. Uncertainty analysis involves evaluating variability and reliability under different properties, plotting Probability Density Function (PDF) and Cumulative Distribution Function (CDF) using statistical models such as lognormal and Weibull distributions, complemented by Monte Carlo simulations (MCS) in MATLAB coding. The purpose of the design and analysis is to ensure stability, safety, and compliance with building codes, especially in predicting extreme weather and seismic events in structural engineering.
Impact of sex ratio on ecosystem stability: a Lotka-Volterra model considering sex ratio
Authors: Xu Rui , Zhu Rui , Sun Mengwen
Published: July 2024

This study examined the effects of sex ratio on ecology, using Lamprey as the study population. It was found that there was a close relationship between sex ratio and food availability, with a higher proportion of female Lamprey when food availability was adequate and an increase in the proportion of males when food was scarce.The relationship between sex ratio and population dynamics of Lamprey was established by logistic growth model and Lotka-Volterra predator-prey model, and it was found that the change of sex ratio had a significant effect on the population size of Lamprey, which will affect the number of prey as well as the ecological factors such as water temperature and pH value.These discoveries reveal the important role of gender ratio in the ecosystem, and provide new perspectives and methods to solve the dynamics and resource utilization in the ecosystem.
Enhancing Efficiency and Stability in Organic Photovoltaics through Advanced Material Design and Synthesis Strategies
Authors: Li Jiapeng
Published: July 2024

Solar energy, with its virtually limitless supply and minimal environmental impact, presents a promising avenue for sustainable energy development. Organic photovoltaics (OPVs), known for their lightweight, flexibility, and cost-effectiveness, represent a significant sector within this field. This paper explores recent advancements in OPV technology, emphasizing material design and synthesis strategies that enhance both the efficiency and stability of these devices. A comprehensive review is presented on the evolution of OPV material efficiency and stability, detailing innovative donor and acceptor materials and breakthroughs in interface engineering. Particular attention is given to controlled polymerization techniques which have been significant in producing conjugated polymers with defined molecular weights and narrow polydispersity indices. Additionally, the paper discusses the impact of various solution processing and vapor deposition methods on OPV device performance, noting their role in improving charge carrier mobility and operational stability. By highlighting both current practices and potential future directions, this review not only encapsulates the progress made in the field but also outlines the roadmap for developing high-performance, durable OPV systems, thereby making a vital contribution to the realm of organic electronics.
The Impact of Entrepreneurial Orientation of SME CEOs on Firm Performance
Authors: Liu Zhen , Abbas Ali Dhakir
Published: July 2024

Small and medium-sized enterprises (SMEs) hold significant positions in global economic development, yet their high failure rates have garnered widespread attention. Enhancing business performance is crucial for the survival and growth of SMEs. In recent years, academia has increasingly focused on the entrepreneurial orientation of CEOs and its impact on business performance. Entrepreneurial orientation encompasses dimensions such as innovativeness, risk-taking propensity, and proactiveness, which significantly influence a firm's market competitiveness and overall performance. This review synthesizes relevant literature, examining the specific effects of CEO entrepreneurial orientation on SME performance, analyzing the primary challenges involved, and proposing effective measures to enhance entrepreneurial orientation. By delving into these issues, the aim is to provide theoretical support and practical guidance for SME development, aiding them in achieving better performance amidst intense market competition.
Development Status of Digital RMB Under the Background of Blockchain Technology: Theoretical Practice and Policy Suggestions
Authors: Zhou Yan , Bo Xinli , Shen Hanchao
Published: July 2024

In the burgeoning digital economy, the explosion of interest in digital currencies, sparked by blockchain technology, has captivated stakeholders across the spectrum. At the forefront, China's central bank's digital yuan is rapidly advancing, setting it apart from private digital currencies with its legal status, anonymity, and convenience, thus heralding significant shifts in market transactions and necessitating enhancements in the national financial infrastructure. This paper, through a comprehensive review of literature and current trends, delves into the digital yuan's theoretical foundations, its application, impacts, and the risks it poses. Findings suggest that the digital yuan, leveraging its unique features, has made inroads in consumer services, aiding the broader acceptance of digital payments in China. Yet, its integration into supply chains and retail sectors lags, trailing behind third-party payment systems in adoption and development. Amidst efforts to refine policy regulation, bolster financial oversight, and encourage innovation, the digital yuan also introduces financial and cybersecurity challenges. This analysis aims to map out the digital yuan's trajectory under blockchain's umbrella, offering policy insights to underpin further research.
Research on the path of enhancing the international competitiveness of China's service trade
Authors: Gao Xiaoyan
Published: July 2024

This paper aims to explore the way to improve the international competitiveness of service trade. Through the analysis of the theoretical basis and current situation of the international competitiveness of service trade, this paper puts forward the promotion path of optimizing the policy and institutional environment, improving the service quality and innovation, and strengthening the talent training and international cooperation. At the same time, this paper also analyzes the challenges of improving the international competitiveness of service trade, and puts forward the corresponding coping strategies. Through this study, it is expected to provide useful reference for improving the international competitiveness of China's service trade.
Air Quality Prediction based on Neural Network
Authors: Wang Tianyu
Published: July 2024

Air pollution, driven by various human activities, has become a critical global issue with significant impacts on human health and the environment. Accurate forecasting and monitoring of air quality are essential to mitigate these effects. This paper introduces a novel deep learning model, AirPhyNet, which integrates atmospheric physics principles into its design, aiming to improve the precision of air quality predictions. The model is evaluated against several baseline models, demonstrating its robustness and effectiveness in forecasting air quality dynamics. The study emphasizes the importance of incorporating physical insights into deep learning models to enhance prediction accuracy and interpretability. The model's performance is compared systematically with existing baseline models, showcasing its superior accuracy and generalisation capabilities. The paper also discusses the use of machine learning algorithms for air quality prediction, highlighting the need for accurate results to inform public health measures and environmental strategies. The study utilizes real-world air quality datasets from Beijing and Shenzhen, China, and employs evaluation metrics to objectively compare the models. The results indicate that AirPhyNet outperforms state-of-the-art deep learning models and classical approaches, providing a promising tool for air quality forecasting in various environmental settings. The paper concludes by suggesting future research directions, including refining the model architecture and exploring its applications in real-world environmental management.
IL-2 in Treatment of mRCC: Clinical Application and Improvement
Authors: Zhou Zicong
Published: July 2024

Worldwide, the incidence of renal cell carcinoma ranks third among malignant tumors of the genitourinary system. Because renal cancer is not sensitive to radiotherapy or chemotherapy, immunotherapy has been the basic treatment for metastatic renal cancer for many years. For people with stage IV solid tumors, interleukin-2 (IL-2) was once one of the few medications that may result in complete responses (CRs), which were frequently long-lasting for decades without additional treatment. IL-2-related therapies have been used to treat kidney cancer for more than 20 years. Although its wide clinical application is still subject to various limitations, and new molecular targeted therapies have received more attention in recent years, IL-2, as the only drug that can cure metastatic kidney cancer, has great clinical value that cannot be ignored. This article summarizes the clinical application of IL-2 in renal cancer and the latest research progress, analyses data from several articles, and discusses the improvement methods, such as how to strive to find safer and more effective IL-2 treatment methods to reduce its side effects and enhance patient tolerance, and combining IL-2 with other immunotherapies, such as immune checkpoint inhibitors or CAR-T cell therapy, may result in a more potent anti-tumor effect. With a deeper understanding of individual patient's immune systems, there may be a trend towards personalized or customized IL-2 treatment to better meet specific patient needs.
Behavioral Research on the Relationship Between Female Employee’s Workplace Discrimination and Corporate Social Responsibility
Authors: Chen Ruohan , Zhu Yue
Published: July 2024

Gender equality as an important social norm should be highly valued and strictly obeyed by the corporation. Nowadays, female employees are playing more and more important roles in the workplace environment. While more and more women are becoming the leaders of teams, members of committees, and CEOs, which show the infinite potential of female power, there are discrimination still exists based on gender. When female employees are seeking opportunities to get hired and promoted, the challenge they face is immeasurable. During the interview, female applicants are more frequently asked questions related to their marital and reproductive status. However, this is a type of gender bias due to women’s reproductive roles. Moreover, there is much gender discrimination in the workplace, and it is suppressing female employees. Thus, the corporation needs to set a good example in society as the pioneer in creating a gender-friendly environment. The corporation should implement corporate social responsibility by providing humanistic care and useful sessions to try its best to eliminate gender inequality. The structure of this paper is to point out the challenge of female employees first, conduct in-depth research into the problems of gender discrimination, analyze why the problems exist, and finally provide the solution according to each problem.
Research on Carbon Emission of Renewable Concrete in the Context of Green Building
Authors: Dong Minghan
Published: July 2024

With the increasing carbon emission of buildings, concrete, as an important building material, needs to adopt reasonable strategies to reduce carbon emission. Based on the research background of green building, this paper mainly studies the production of new renewable concrete by recycling industrial waste. In this paper, the different material ratios of recycled concrete and their different properties are studies firstly. Then, the appropriate material ratios are selected to ensure the stability of the structure and effectively reduce carbon emissions. The results show that the carbon emission and strength of recycled concrete decrease with the increase of the amount of recycled material. When the dosage is 50%, the strength of the renewable concrete is improved. Through the study of renewable concrete, the carbon emission calculation of renewable concrete and the change of structural properties under different material ratio are realized, which provides ideas for the production of new concrete materials.
Optimization Decision Making of Vegetable Replenishment and Pricing Based on ARIMA Model and Greedy Strategy
Authors: Xu Jiayun , Lin Xiangqi , Ye Jiahong
Published: July 2024

Fresh products become the important part in people's daily life. At present, the market of fresh products in China reaches a scale of 5.3 trillion, and the number of weekly purchases of fresh products by ordinary residents reaches about 3 times. Due to their short freshness period, superstores face the challenge of daily replenishment pricing. In order to develop a reasonable replenishment and pricing plan, this paper determines the cost margin in the markup cost pricing method by formula conversion using four indicators: sales volume, wastage rate, cost unit price, and replenishment volume, and further derives a functional relationship between sales volume corresponding to the six categories and cost markup pricing. The ARIMA model is used to forecast the cost margin, cost unit price, and sales volume for the next seven days, and a greedy strategy is used to equate the value of the daily replenishment volume to the predicted value of the sales volume before the loss on that day in order to achieve the goal of reducing the cost and meeting the goal of maximizing the revenue per day with certainty of the sales volume to arrive at the optimal pricing decision and the daily replenishment volume for the next seven days. Finally, the relationship between sales volume and pricing was directly fitted using the least squares method to reformulate the pricing decision, while the model was tested and evaluated. The integrated predictive pricing decision model proposed in this model can be a better solution to the commodity pricing problems related to time series, like supply chain product management system and online vegetable commodity delivery platform. It can also be used in models that contain interactions between time-dimension and space-dimension variables, such as the prediction of traffic flow and people flow.
Single Cell Trajectory Inference Based on Mouse Embryo Dataset
Authors: Chen Xiaoxuan
Published: July 2024

Constructing cell differentiation trajectories helps understand the development process of normal tissues or provides pathology-related information. This work analyses data from a mouse model of fetal growth restriction. In data processing, this work encodes for genes, uses PCA dimension reduction to reduce the cost of calculating, and uses the Louvain algorithm to cluster cells into seven different types including DN, DP-L, DP-M1, DP-M2, DP-M3, T-cell, and unknown, and then infer cell differentiation trajectories by DDRTree. By analyzing cell differentiation trajectories, the cell differentiation process can be known. Besides that, it can be found that the growth of DP cells can be divided into different steps due to differences in gene expression level.
On Hawthorne's Self-contradiction and Self-redemption
Authors: Yin Tingting , Huang Chi
Published: July 2024

Nathaniel Hawthorne, an acclaimed figure in American literature, skillfully shapes the principal characters of The Scarlet Letter-Hester, Dimmesdale, and Chillingworth-drawing from historical contexts and his personal experiences. The complex tensions these characters represent somewhat mirror Hawthorne's own inner conflicts. Hawthorne infused his writings with his ideological struggles, actively seeking ways to reconcile these internal conflicts and achieve personal redemption. As a Romantic writer, his narratives deeply resonate with an understanding and empathy for human nature. Hawthorne believed in the intrinsic kindness and goodness of individuals, who, despite errors or societal judgment, could seek self-redemption through various ways. This belief forms the crux of Hawthorne's concept of redemption. This paper aims to collate and analyze existing research on Hawthorne, integrating it with details of his personal life and the historical backdrop of his era, to thoroughly examine the prominent themes of conflict and redemption in his works, and to explore how these themes manifest in his literary output.
Research on Object Strikes in Construction based on Hidden Hazard Correlation Analysis
Authors: Zhao Zhifeng , Liu Xinyu , Feng Yuanyuan
Published: July 2024

The safety of building construction is significantly impacted by object striking incidents, and social network analysis can be applied to analyze the correlation between potential hazards to mitigate associated risks. In this study, the focus is on assessing the construction safety of projects undertaken by Anjian Group. The traceability method was employed to identify 33 safety hazards, forming the basis for the establishment of a comprehensive safety hazard model. We used Ucinet 6 software to generate a safety hazard correlation map for object strike accidents in construction projects. The analysis encompassed holistic evaluation, cohesive subgroup analysis, and degree centrality analysis. The findings revealed that material flying out and falling hanging objects exhibited the highest degree of centrality. Consequently, emphasis should be placed on enhancing protective measures in these specific areas to ensure an optimal safety framework. This systematic approach integrates both the theoretical and practical aspects of safety hazard analysis in the context of construction projects, contributing to the overall enhancement of construction site safety.
Study on Wahaha’s Financial and Economic Effects Based on CSR
Authors: Zhang Renhan
Published: July 2024

This abstract examines Wahaha, a prominent food and beverage company in China, and its extensive engagement in corporate social responsibility (CSR) activities, which have contributed to its business value and societal impact. By analyzing Wahaha’s CSR achievements and their implications, this research aims to offer insights for both the company itself and other enterprises. The study underscores Wahaha’s success in building a positive corporate and brand image through active CSR participation, serving as a model for industry peers. Additionally, it explores the mediating role of consumers’ perceived sincerity of motives in the effectiveness of CSR activities, emphasizing the importance of genuine engagement in CSR initiatives. Furthermore, the research highlights the microeconomic perspective of CSR, linking social responsibility to corporate profitability and sustainable growth. Despite Wahaha’s notable CSR practices, the study identifies challenges such as strategic ambiguity, information asymmetry, and food safety concerns. Recommendations are provided to address these issues, including transparent disclosure, strategic focus, risk management, and consumer education. Overall, Wahaha’s CSR endeavors offer valuable lessons for the food and beverage industry, promoting social responsibility awareness and guiding businesses toward sustainable practices.
The Influence of Social Media on Green Consumer Awareness: An Analysis Based on Consumer Interaction and Information Acquisition
Authors: Tian Tian
Published: July 2024

This paper explores the concept of green consumption, the current status and trends of the market, as well as the crucial role of social media in spreading awareness of green consumption, shaping consumer attitudes, and influencing consumer choices. Green consumption is defined as a consumption pattern that considers environmental, social, and economic benefits, emphasizing consumers' choices of environmentally friendly products and services, as well as practices in lifecycle management and resource recycling. Social media, as a powerful tool for disseminating the concept of green consumption, with its global coverage, real-time interaction, and high user engagement, effectively promotes the popularization of green consumption awareness. Overall, social media plays an important role in promoting a culture of green consumption and facilitating the transition to sustainable consumption patterns.
Influence of Foundation Layer Strength on Slope Stability When Water Level Drops Slowly
Authors: Liu Zimeng
Published: July 2024

Construction projects for construction, railway, highway, water conservancy, and urban infrastructure will involve the problem of slope stability without exception. Slide loss will not only affect the normal use of the building, but also cause significant losses to human life and property. Therefore, the analysis of the stability of the slope has very important theoretical significance and practical value.There are two main analysis methods of slope stability. The limit balance method and strength discount of the finite element method. However, most of the landslide stability analysis used in practice still uses the limit balance of the basis of the basics of decades of unchanged slices. Law. This article mainly uses the finite element method for numerical simulation. The finite element software Slope 64 is used to establish a data model and iterates to calculate the results, and the results are obtained, and further analysis is made to provide the theoretical foundation for future practical applications. Analyze the average slope and the stability change trend, the laws of stability coefficient, and the rules of damage when the water level decreases slowly. The finite element method can take into account the geometric shape of the slope that cannot be considered, the model and non -linear loading of the soil body, and the non -linear loading. The strong slope stability analysis method has high accuracy and high accuracy, and requires less assumptions, especially in terms of destroying the mechanism.In the end, with the slow decline in the water level, there is a certain trend of the security factor of the slope. Generally, the lowest point will occur first and then there will be a short period of time. The safety factor of completely drowned slope is not affected by the depth of water above the top. The stability of the sub -slope is higher than the stability of the slope. As the strength of the basic layer increases, the stabilization coefficient of the slope is unchanged when the water level slowly decreases, but the water level of the lowest stability coefficient continues to rise, and the base layer strength increases to the stable coefficient size of the slope when the slope is increased to a certain value. The stability coefficient of the average slope of changes and the slow decrease in the water level tends to be consistent.
Portraying Oriental Female Roles in Italian Opera: An Asian Perspective
Authors: Li Jianing
Published: July 2024

More and more Asain faces are emerging on the western opera stage. The focus of this paper is the advantages and challenges of oriental performers on the international stage, taking "Turandot" as an example. Based on the oriental elements in Turandot, the research is conducted through the character Liù, a representative Puccinian oriental female character. The paper analyses how opera singers can better portray their characters on stage, illustrating the advantages that Asain singers have in portraying oriental roles, but also the linguistic challenges. The study compares the vocal characteristics of Italian with those of Chinese, and takes "Signore, ascolta" as an example to illustrate, as a native Chinese speaker, the technical aspects of the Italian lyrics when singing this aria. The paper finds that opera singers need not only the effective characterization but also accurate linguistic proficiency, so that the music can enter the audience's heart and bring them a richer artistic experience.
Psychological Painting Analysis in Cross-Cultural Research Context
Authors: Wang Xiaoduo
Published: July 2024

Psychological painting is a common method of psychological analysis and healing, which can help testers understand the psychological state of the subjects and provide more targeted psychological services. However, practice has shown that different cultural backgrounds may have an impact on the habits and outcomes of psychological drawing among subjects. Therefore, it is necessary to analyze the various differences in drawing among subjects in different cultural environments in a cross-cultural context, in order to enhance the pertinence of relevant psychological counseling services. Based on this, the article analyzes participants from different cultural backgrounds from a cross-cultural perspective, in order to discover the potential impact of cultural factors on psychological painting and provide corresponding suggestions.