bluuebunny/crossref_metadata_2025 huggingface dataset:
Smart and Resilient Mobility Services Platform for Managing Traffic Disruptive Events
Authors:   Civil and geo-Environmental Engineering Laboratory (LGCgE), Lille University, 59000 Lille, France, Aburas Hala
Published: April 2024

This article aims to develop a smart mobility solution to enhance the travel experience of individuals facing traffic disruptive events. Unlike prior research focusing on isolated solutions for managing these events, this study takes a holistic approach combining real-time monitoring, predictive modeling, route guidance, and effective communication to create efficient traffic disruption management. The study introduces the Smart and Resilient Mobility Services Platform (SRMS), specifically designed to address mobility restrictions as a form of disruptive events in the Palestinian territories, West Bank. SRMS empowers users to make well-informed decisions by providing services such as real-time mapping of mobility restrictions, a prompt notification system, informal route mapping, and alternative path suggestions. Moreover, it aims to enhance engagement among travelers and citizens by adopting spatial crowdsourcing as the primary data source for potential restrictions and embracing the User-Centered Design (UCD) approach to enrich users’ interaction with the developed solution. The methodology involves presenting the architectural layering system of the SRMS platform, and detailing the prototyping and design development considering the UCD approach. Results present the practical implementation of the SRMS tailored to the Palestinian context and adopted UCD.
Modeling of Improved Sine Trigonometric Single Valued Neutrosophic Information based Air Pollution Prediction Approach
Authors:   Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia, Afrah Afrah ,   Department of Economics and Policy Sciences, College of Commerce and Economics, Hodeida University, Hodeida, Yemen.,   Department of Marketing and Production. Faculty of Administrative Sciences Thamar University, Yemen.,   Department of Economics, Faculty of Economics and Commercial, University of kordofan, Sudan, A. Shoraim M. H.. , .. Amal .O. A. Al , Abouzeed Badr Eldeen A. A.
Published: April 2024

Industrialization and urbanization air is getting polluted due to human activities. CO, NO, C6H6, etc., are the major air pollutants. The focus of air pollutants in ambient air is controlled by the climatological parameters including wind direction, atmospheric speed of wind, temperature, and humidity. Air pollution prediction is a critical sector where machine learning (ML) technique plays a major role. Its main purpose is to tackle and understand the damaging effects of air pollutants on the environment and human health. By using a range of ML techniques such as neural networks, regression, and decision trees, we could analyze historical data on air quality alongside geographical and meteorological factors. This allows us to design model that could detect patterns and predict pollution levels. By taking proactive measures such as providing timely alerts to the public, adjusting controls on emissions, and, implementing strategies to reduce pollution, we can work towards creating healthier and cleaner environments. Embracing the potential of artificial intelligence (AI) in air pollution prediction empowers us to protect the well-being of our communities and make informed decisions. Therefore, this study develops an Improved Sine Trigonometric Single Valued Neutrosophic Information based Air Pollution Prediction (ISTSVNI-APP) approach. The major objective of the ISTSVNI-APP technique is to exploit AI concepts with neutrosophic sets (NS) models for the forecasting of air pollution. To do so, the ISTSVNI-APP technique makes use of min-max normalization as the initial preprocessing step. For predicting air pollution, the ISTSVNI-APP technique uses STSVNI approach. To improve the performance of the ISTSVNI-APP technique, modified crow search algorithm (MCSA) is used for the parameter tuning of the STSVNI system. The performance evaluation of the ISTSVNI-APP method is verified utilizing benchmark dataset. The experimental outcomes stated that the ISTSVNI-APP technique gains better performance in predicting air pollution
Role of Language in Emotions and Bias: A Cognitive Linguistic Perspective of Affective Political Media in the US
Authors: Tang Bolan
Published: April 2024

In todays digital era, where emotions are central to journalism and information disseminates rapidly, the role of language in transmitting emotions, stereotypes, and biases has become a subject of debate and study. The use of language in news media can be argued, as it may prioritize sensationalism over accuracy to tap into peoples feelings under new business models and the attention economy. While journalism ethics aim to minimize bias, journalism consistently incorporates emotions to captivate the audience and create an experience of involvement. This is significant because language, consumed from diverse media news channels, is integral to cognition. Research in cognitive linguistics demonstrates that human beings view the world in metaphoric terms, and language defines and constrains communication, thinking, and sense-making. This article explores linguistic mechanisms such as metaphors of flood and aliens, agenda setting, selectivity, framing, and expectancy bias, through which emotions, perspectives, and affectivity are sustained and propagated in political news reporting. It considers the impact of stereotypes and biases, particularly in the media portrayal of undocumented immigrants and different framings in the description of the War in Gaza. The article highlights that language is seldom neutral and is intertwined with motives, emphasizing the importance of understanding the persuasive power of words. In conclusion, this paper reveals the role of language in shaping perceptions of message receivers and contributes to enhancing linguistic justice, informing more ethical approaches to journalism and media production. It emphasizes the need for an editorially conscious and intelligent use of language to create engaging, empathetic content.
Research on the Urban Renewal Planning from the Perspective of Suturing: A Case Study of the Ancient City Suturing Plan in Luoyang, Henan Province
Authors: Yang Xinyue
Published: April 2024

With the acceleration of urbanization in China, historical and cultural districts in ancient cities have experienced rapid development under the promotion of various policies, gradually forming a homogenized development model for ancient cities. The rapid development has brought about environmental pollution and distortion in the protection of ancient city culture, making the contradiction between ancient city protection and renewal planning increasingly prominent. This study extends the theory and techniques of spatial suturing to the macro scale of historical districts in ancient cities, exploring the suturing effects and practical applications of ancient city design planning at the level of street and alley spaces and historical contexts. It aims to promote the sustainable development of historical and cultural ancient cities, and achieve the coordinated development of cultural heritage protection and socio-economic progress.
Sociocultural Theory in Early Childhood Education
Authors: Zhou Xiaochen
Published: April 2024

Early childhood education (ECE) is pivotal for children's development, with Lev Vygotsky and Urie Bronfenbrenner's sociocultural theory stressing social interactions and family engagement. Sociocultural principles advocate for tailored learning within the Zone of Proximal Development (ZPD) and emphasize language's role in cognitive development. However, ECE faces challenges like funding shortages and staff turnover, exacerbated by the COVID-19 pandemic. Sociocultural theory suggests collaborative partnerships to address these issues, stressing educator-student and family-school connections. It also advocates for community involvement to bridge financial gaps and highlights the importance of professional development for teachers. Family participation is crucial, recognizing diverse family influences and educational styles. Sociocultural theory promotes inclusive practices accommodating diverse needs, temperaments, and learning styles, fostering creativity, problem-solving, and socialization in ECE settings. Early childhood education (ECE) is pivotal for children's development, with Lev Vygotsky and Urie Bronfenbrenner's sociocultural theory stressing social interactions and family engagement. Sociocultural principles advocate for tailored learning within the Zone of Proximal Development (ZPD) and emphasize language's role in cognitive development. However, ECE faces challenges like funding shortages and staff turnover, exacerbated by the COVID-19 pandemic. Sociocultural theory suggests collaborative partnerships to address these issues, stressing educator-student and family-school connections. It also advocates for community involvement to bridge financial gaps and highlights the importance of professional development for teachers. Family participation is crucial, recognizing diverse family influences and educational styles. Sociocultural theory promotes inclusive practices accommodating diverse needs, temperaments, and learning styles, fostering creativity, problem-solving, and socialization in ECE settings.
Cultivating Diverse Harmonic Thinking in Improvisational Accompaniment: Strategies and Case Studies Exploration
Authors: Han Xiao , Xu Meng
Published: April 2024

As compulsory courses for music major students, improvisational accompaniment has gradually received significant attention from universities and scholars. However, due to the comprehensive and complex nature of its curriculum content, achieving the preset teaching objectives often proves challenging during the teaching process. Consequently, many students feel the need to enhance their improvisational accompaniment skills even after entering the workforce. The cultivation of harmonic thinking abilities is identified as a crucial factor in improving improvisational accompaniment proficiency, deserving ample attention. This paper aims to outline strategies for comprehensively strengthening students' harmonic thinking abilities. By incorporating teaching examples for analysis, it seeks to address the deficiency in students' harmonic thinking abilities, thereby further enhancing the effectiveness of improvisational accompaniment teaching.
Microsoft's Business Model and Strategy Adjustment under ESG Standard
Authors: Li Yu
Published: April 2024

Environmental, Social and Governance (ESG) is an increasingly important consideration in investment and business operations. It covers corporate performance in environmental protection, social responsibility, and good governance. ESG factors can influence the long-term sustainability of a business, positively impacting shareholders, employees, customers, and society. Microsoft, as the world's leading technology company, is also actively paying attention to and practicing ESG principles. The company has undertaken initiatives aimed at reducing carbon emissions, promoting the use of renewable energy, and reducing waste of resources. At the same time, Microsoft is also working to promote diversity and inclusion to ensure equal rights and opportunities for employees. In terms of governance, the company has implemented a sound decision-making and oversight mechanism to ensure transparency and compliance in its business.
Cost Benefit Analysis of Vehicle Emissions Reduction Policies in Canada: A Case Study of Zero-Emission Vehicles
Authors: Zhang Heng
Published: April 2024

Canada has been at the forefront of mitigating climate change by adopting strategies that align with the international objective of limiting global warming. For instance, the Canadian government has intervened in the transport sector by enacting vehicle emission reduction policies such as the ZEVs policy that encourages the adoption of EVs, FCVs, and PHEVs. The policy aligns with the Canadian governments ambitious target of getting more ZEVs on Canadian roads as a strategy to achieve 100 percent zero-emission vehicles by 2040, with interim goals of 10 percent by 2025 and 30 percent by 2030. However, although ZEVs offer Canada an opportunity to reduce its GHG emissions in the transport sector, there has been concern about the upfront costs associated with adopting ZEVs, which continue to be a major deterrent despite their operation and maintenance costs being low. The following research paper conducts a CBA on ZEVs compared to CVs in Canada in terms of ownership costs and environmental impact.
The Impact of Liquidity Risk on Corporate Bond Pricing in China
Authors: Zhang Yan
Published: April 2024

This paper investigates the impact of liquidity risk on bond pricing in the bond market after the end of COVID-19. The paper hypothesizes a significant impact of liquidity risk on bond pricing in the bond market and introduces several variables such as liquidity ratio, coupon rate, issuance cycle, return on equity (ROE), and issuance volume for testing. The paper analyses and compares the impact of liquidity risk on corporate bond pricing through least squares (OLS) regression analysis (data from the iFinD database). The study shows that the liquidity risk of bonds has a significant impact on the market interest rate of corporate bonds, which directly proves that the impact of liquidity risk on corporate bond pricing in the bond market is highly significant. This paper reveals that liquidity risk is crucial to bond pricing in the bond market that liquidity risk is a key factor in determining the degree of stability of bond prices, and that illiquidity leads to increased uncertainty in bond pricing and market volatility. Investors need to have a more comprehensive perspective to rationally price bonds under the disturbance of liquidity risk and pay attention to the impact of liquidity risk on the bond market.
The Impact of Educational Investment on Economic Development in Society
Authors: Bian Siqi
Published: April 2024

This paper explores in depth how China's investment in education since the 21st century has had a significant impact on the country's economic development. With the advent of globalization and knowledge-based economy, education has become a key factor to promote social progress and enhance national competitiveness. This paper analyzes the financial support of the Chinese government in basic education, higher education and vocational and technical education, and examines the positive effects of these investments on the optimization of the labor market, scientific and technological innovation capacity and the overall economic structure. In future development, more attention should be paid to improving the per capita education level rather than merely pursuing quantitative expansion. This means that we must make reasonable policies to guide resources to poor areas and narrow the gap between urban and rural areas. Improving the continuing education system; Encourage enterprises to participate in vocational and technical training; And to strengthen the construction of teachers and curriculum reform and other soft power investment. Only such a comprehensive and in-depth education reform and development strategy can ensure the steady and rapid growth of the national economy while having the inherent resilience to resist external risks and challenges, and achieve sustainable prosperity in the true sense.
The Impact of Unexpected FOMC Actions on Corporate Earnings Expectations
Authors: Xu Chenning
Published: April 2024

This paper fills a gap in the literature by examining the impact of unexpected Federal Open Market Committee (FOMC) actions on the markets expectations of U.S. corporate earnings by examining the sell-side analysts' quarterly earnings forecasts from 1989 to 2022. This paper reveals a significant negative correlation between analysts' earnings forecasts and unexpected changes in the target interest rate. This correlation weakened after the Federal Reserves implementation of Forward Guidance as a monetary tool in 2004, which appears to enhance the market's ability to predict target rate adjustments. In addition, this paper shows that with a given amount of unexpected target rate changes, value firms display greater earnings forecast revisions from analysts than growth firms. Debt levels or profitability factors cannot fully explain this phenomenon. The findings of this paper contribute to the knowledge of how FOMC actions exert influence on equity valuations and the transmission mechanisms of monetary policies.
Research on Marketing Strategy -- Taking the Usmile as an Example
Authors: Li Anxian
Published: April 2024

This paper mainly studies the development and rise of the usmile and its marketing strategy under the era of digital media marketing and oral health concerns across the country. The main research topic is what kind of data, market background investigation and trend are used by the usmile to innovate marketing strategies, and whether these marketing strategies have an actual impact on the market and the scope of impact. At the same time, research the brand background and brand vision to know the basic core of the brand marketing. In the whole research process, the 4P theory is applied to study the marketing strategy of the usmile by analyzing the four major directions of the usmile brand, including product, price, promotion and place. At the same time, the marketing strategy of the usmile is studied by investigating market data and comparing charts and data of the same products and brands.By studying the marketing strategies of the usmile, this paper can gradually get to know the full range of digital media marketing strategies, master and accumulate same marketing methods to give targeted suggestions to the usmile and understand the fundamental role of basic marketing for other brands of the same brand or even different brands.
Exploring Consumer Hoarding Patterns: A Case Study Social Networks on Consumer Hoarding Behaviour of Toilet Paper
Authors: Yan Jinghuan
Published: April 2024

This article investigated the impact of social networks on consumer hoarding behavior during the COVID-19 pandemic, focusing specifically on the global toilet paper hoarding phenomenon. Motivated by the pandemic's widespread fear and uncertainty, the study filled a research gap by stressing the relevance of network science in understanding hoarding situations. The study, which examined a case study of the toilet paper scarcity that began in Hong Kong and extended globally, identified three major issues: the unique characteristics of online networks, the herding mentality promoted by social factors, and the asymmetry in information availability. To overcome these difficulties, the study suggests strategic options. It was suggested that artificial intelligence be used for content regulation and information validation in order to proactively counteract the unique features of internet networks. Targeted psychological interventions, notably stress reduction programs, were recommended to counteract the herding mindset that drives hoarding. To mitigate the impact of asymmetric information, media literacy initiatives aimed at improving consumers' critical thinking skills were suggested. Finally, this study gave important insights into the complex dynamics of social networks and consumer hoarding behavior during crises. It emphasized the importance of a comprehensive understanding of online networks' roles, laying the groundwork for future research in network science, consumer behavior, and crisis management.
The Successful Factors for Digital Transformation in Project Management
Authors: Zhang Yiling
Published: April 2024

In the era of Industry 4.0, the advent of the digital revolution is reshaping project management processes, and digital transformation is advancing with a heightened focus on its influence on project success. Research on the success factors for digital transformation in project management is limited, particularly in drawing industry-specific conclusions, owing to varying levels of digitization across projects. The exploration of success factors' impact on the digital transformation process and the distinctive characteristics of different industries remains largely uncharted territory. This research aimed to explore key aspects of digital transformation projects, focusing on success factors that significantly influence their outcomes. A Thematic analysis approach was used to draw insights. The analysis delves into four crucial success factors. These key themes included organizational change management, organizational efficiency enhancement, organizational process management, sustainability, and societal management. Each factor is examined for its role in shaping successful digital transformations. The conclusion succinctly summarizes the key findings and emphasizes the importance of these success factors in the context of digital transformation initiatives. These findings go beyond the scope of prior research, delving into the intricacies of industry perspectives, which can drive the digital transformation of project management practices.
The Impact of CSR on Supply Chain Management in Enterprises
Authors: Li Shangzhe
Published: April 2024

Corporate social responsibility (csr) adoption is gaining increasing prominence as a strategic imperative for enterprises seeking to drive transparency, collaboration, and sustainability through their supply chains due to its perceived importance. This paper undertakes a qualitative analysis of peer-reviewed academic literature and industry reports to examine the linkages between measurable csr policies. This helps in deducing means for supply managers to control ethical sourcing, supplier codes of conduct, and social audits and resultant performance improvements across interconnected supply chain entities due to followership of acceptable socially conscious activities. Henceforth, the analysis provides a valid view that integrative csr priorities propagate positive transformations. The transformation refers to improved vendor relationships, logistics, and distribution networks. Those are achieved through enhancing climate resilience, reducing risks, and enabling cost efficiencies. The csr actions, however, need to be structured by mechanisms around supplier capability building, compliance enforcement, and monitoring systems, which are uncovered as vital framing elements allowing csr commitments. However, equitable integration frameworks across entities with varying maturity levels require additional investigation.
When Would Owners Decide to Block Their Properties? Deciphering the Airbnb Business Decisions with Transactional Data
Authors: Zhou Junlin
Published: April 2024

The sharing economy create a new model for the society to provide the properties with different status which is not be full-utilized by the host. Airbnb is a typical example, which allows the host to provide their rooms to the customers. Our work focus on the micro level to show the relation. Using the anonymous data of properties in New York City from Airbnb, we estimate the effects of properties status on market performance and supply behaviors. Our result shows that the higher daily rates would lead to higher booking numbers. However, the extra fee such as clean fee and Security Deposit will do negative effects on number of booking. Further more, Convince and information availability cause better performance. Supply behaviors will not be changed easily. However, we found that the weekend, higher price and lower annual revenues will lead to higher probability of block.
Enhancing efficiency and user-centricity in architectural remodeling: A comprehensive system design for structural renovation
Authors: Kang Yiwen
Published: April 2024

The home renovation industry has witnessed remarkable growth, driven by shifts in lifestyle necessitating adjustments in living spaces. This paper addresses critical gaps in the domain of architectural remodeling, with a particular focus on improving efficiency, referenceability, and user-centricity in structural remodeling. This research introduces a system design tailored for structural remodeling within house renovation, catering to both comprehensive and partial projects to facilitate the creation of structurally viable renovation options and optimizing them to align precisely with user requirements. The proposed system's accessibility and consideration of architectural factors set it apart. While offering substantial benefits, the system has limitations, such as the exclusion of interior furnishing styles in output solutions. In conclusion, contributes to the improvement of remodeling projects and offers a promising approach, particularly in the early stages of these endeavors.
Revolutionizing the cultural industry: The transformative power of data processing algorithms
Authors: Xue Fei
Published: April 2024

This paper provides a comprehensive analysis of the impact of data processing algorithms on the cultural industry, focusing on user behavior analysis, dynamic content adaptation, content discovery, efficient distribution networks, and driving creative innovation. Through the application of sophisticated machine learning models and quantitative analysis, this study demonstrates the transformative potential of algorithms in enhancing user engagement, optimizing distribution channels, and fostering creative innovation. By analyzing vast datasets from leading cultural content platforms, social media, and collaborative creation platforms, the paper reveals significant improvements in user consumption rates, engagement metrics, global market penetration, and the development of novel content formats. The findings underscore the importance of algorithmic insights in shaping the future of the cultural industry, offering personalized experiences, streamlining distribution, and expanding creative horizons.
Integrating sports education with data analysis and computer technology: A new paradigm for enhanced athletic performance
Authors: Ma Shuo
Published: April 2024

This comprehensive study delves into the transformative integration of sports science, data analytics, and computer technology in athletic training and education. It highlights the multidisciplinary approach to enhancing athletic performance through evidence-based methodologies, including biomechanical analysis, physiological assessment, and psychological strategies. With a focus on data-driven training methodologies, real-time performance monitoring, educational implications, and the incorporation of ethical considerations, the article showcases how modern technology and data analysis can personalize training programs, optimize performance, and minimize injury risks. Through quantitative analysis and case studies, it demonstrates the significant impact of these integrations on athletic performance metrics, while also addressing the challenges and limitations faced in adopting these approaches. The findings suggest a promising future for sports education and training, advocating for interdisciplinary collaboration and the adoption of data analytics in sports.
Cu-based nano-material catalysts for electrochemical carbon dioxide reduction reaction (CO2RR)
Authors: Zheng Xingyu
Published: April 2024

With the emergence of the global energy crisis and global climate change, renewable energy systems, such as fuel cells that turn off energetic oxygen and carbon cycles, are becoming increasingly important. Carbon dioxide reduction reaction (CO_2 RR) is an important electrocatalytic process on the gas diffusion electrode of CO_2 electrolyzer, which has been paid more and more attention by researchers. The problems of high cost, low efficiency, weak selectivity and stability of the carbon dioxide reduction reaction (CO_2 RR) also continue to be solved. Catalysts are considered a viable way to solve these problems. The Cu-based nanomaterial catalyst has been proven to have a good positive effect on the reaction. In this paper, the current research results of Cu-based nanomaterials on CO_2 RR were reviewed, and the catalytic effects of several different Cu-based nanomaterials on CO_2 RR reactions were compared. This paper collected the researches on the catalytic effect of copper-based nanomaterials on carbon dioxide reduction reactions in the past ten years, and found that most copper-based nanomaterials can improve the efficiency of the reactions and show good selectivity. The aim of this paper is to provide a possible catalytic direction for the improvement of carbon dioxide reduction reactions in industry
Application of silicon-based nanomaterials for improving the performance of battery
Authors: Xu Shaoqing
Published: April 2024

This research discussed the improvement of using silicon-based nanomaterial in batteries compared to graphite batteries because not only in electric vehicles, but also mobile phone users are requiring for longer battery life and faster charging speed and phones cannot increase into an unacceptable weight. This research first introduces how lithium-ion batteries work and analyses the failure of lithium metallic battery: high cost and low security because of dendrites growth. Secondly, this paper discussed how mobile phone manufacturers improved their batteries by using silicon: Honors silicon carbon battery and Xiaomis silicon-oxygen anode battery. Both have increased the energy density and charging speed and lighter the weight at the same time. In general, silicon can improve battery performance through its high capacity for lithium-ion, and silicon can easily be found in a natural environment which will lead to lower manufacturing costs. As a result, this research can provide a new design approach for the structural design and application performance of nanomaterials in the field of battery applications.
The review of how ocean acidification affect organisms and ecological environment
Authors: Lan Yilin
Published: April 2024

The pH of our sea water is decreasing nowadays. Therefore, ocean acidification has gradually become a problem that people have to face. Human activities since Industrial Revolution are making sea water more and more acidic. Human activity has done some damage to the environment that will directly or indirectly increases the amount of hydrogen ions in seawater, which will finally make the seawater more acidic. One of the result of this changes is ocean acidification. People should start playing attention on this problem. If people do not intervene in advance to acidify the oceans, this issue can cause some consequences that will hurt our environment. The following is the main content of this paper. The reason why carbon dioxide can cause ocean acidification, effects of ocean acidification on Marine ecological environment, the shape of Balanophyllias bones changes in different PH environment and Changes in metabolic pathways of phytoplankton under ocean acidification.
Systematic analysis of microelectronic chip packaging materials
Authors: Shi Yutian
Published: April 2024

Microelectronics is a recent hot field, and packaging is an indispensable part of making microelectronic chips. This article introduces the commonly used materials in the field of microelectronic chip packaging. It first presents two complex polymer raw materials recently becoming hot topics, namely epoxy resin and silicone. Then the article presents these two materials from the perspectives of their characteristics, advantages in packaging, and further research directions, allowing readers to have a basic understanding of them while also gaining a general understanding of their research progress. Afterward, the article introduces three crucial types of functional materials in packaging. The article not only presents their respective uses, but also classifies them from the main material types. The article not only analyzes the characteristics and application fields of each material, but also provides some existing in-depth research directions for reference. This article helps readers quickly understand the relevant knowledge of some microelectronic chip packaging materials, especially in determining their future research direction.
Research on impact of flooding on urban transportation safety
Authors: Zhou Yuetong
Published: April 2024

Extreme rainfall is one of the more serious disasters in recent years, and in recent years, many parts of the country have suffered from urban flooding generated under extreme rainfall, and the impact on transportation has been enormous. Researchers at home and abroad have found measures to cope with urban flooding in terms of transportation, but most of them are localized to explore the underground transportation or above ground transportation problems, and lack of a unified explanation. Therefore, the research theme of this paper is the measures of urban transportation to cope with urban flooding. The research method is as follows: this paper takes Zhengzhou City and several cities in Canada as examples and summarizes the impact of urban underground and above-ground transportation on extreme rainfall and the measures to cope with it in various places through the form of literature review. The study found that the improvement of drainage pipes for better drainage, as well as real-time monitoring of rainfall in the event of flooding, and the timely deployment of escape measures.
Applying different methods to improve the performance of lithium-ion batteries
Authors: Cao Jun
Published: April 2024

Currently, the demand for energy is increasing, but people are beginning to realize that the impact of fossil fuels on the environment is very negative. As a more environmentally friendly energy source, electricity has been favored by everyone, and lithium batteries are a good choice. However, there are still some problems with lithium batteries at present. For this reason, a diverse of different methods have been developed and used to solve the problems encountered in the application of lithium-ion batteries. This research will summarize the problems pointed out in the previous literature. There will be different analysis methods for different problems in lithium batteries. The life cycle assessment (LCA) is mentioned in many documents, which can analyze whether electric vehicles are environmentally friendly and how to make them more environmentally friendly. Of course, this research also proposes the use of food waste to refine hard carbon, so that the cost of developing lithium batteries can be reduced.
An integrated study of dual membrane techniques for the removal of disinfection by-products in drinking water
Authors: Wei Minrui
Published: April 2024

In the context of escalating global water resource pressures and rising populations, ensuring the quality and safety of water supplies has become paramount. Natural Organic Matter (NOM) and Disinfection By-Products (DBPs) are prevalent contaminants in numerous water sources. Their presence compromises waters sensory qualities, but certain DBPs have been substantiated to be associated with diverse health implications, including carcinogenic risks. Hence, developing efficient, cost-effective, and reliable technologies for their removal is of critical significance. Dual-membrane filtration, an emergent water treatment methodology, demonstrates profound potential in addressing NOM and DBPs.This article offers a comprehensive review of the applications of dual-membrane filtration across various water treatment paradigms, underscoring its pivotal role in safeguarding potable water quality and addressing future water quality challenges. This study reveals that the MF-NF membrane achieves a removal rate of disinfection by-products of approximately 70%-80%. The UF-NF membrane presents an overall UV254 removal efficiency of over 90%. The NF-RO membrane demonstrates removal efficiencies exceeding 89% for trichloromethane and halogenated acetic acid formation potential. Future research should focus on optimizing the performance of dual-membrane systems, investigating novel membrane materials, and assessing the removal efficiency for emerging DBPs.
Application and effect evaluation of membrane bioreactor technology in municipal wastewater treatment
Authors: Qi Yingying
Published: April 2024

Due to the increasing amount of urban sewage and improved standards in sewage discharge, simple traditional biological sewage treatment fails to meet the needs of municipal sewage treatment. Therefore, to treat wastewater more efficiently, the process of combining biofilm technology with traditional biological wastewater treatment appeared. This paper analyzes the advantages and problems of the combined processes of membrane separation technology and traditional biological sewage treatment technology from and perspective of complementary processes, and puts forward relevant measures to alleviate membrane fouling. The study found that Membrane Bioreactor (MBR) technology occupies a small area, and has a better sewage effluent quality and strong stability, also the sludge output is low. Anaerobic Membrane Bioreactor (AnMBR) technology can increase the effectiveness of removing organic matter and enable resource reuse, which satisfies the demand for low energy consumption. Membrane Aeration Bioreactor (MABR) technology involves bubble-free aeration that greatly improves the quality of sewage effluent, and the production of sludge in MABR technology decreases. Anaerobic ammonium nitrogen membrane bioreactor technology can enhance the efficiency of Anammox bacteria, and the energy consumption and economic cost of this technology are low. Although these membrane combination processes can effectively treat sewage, they can easily be limited by factors such as temperature, microbial communities, and membrane fouling. This paper provides guiding opinions for decision makers in the field of urban sewage treatment so that they can apply appropriate sewage treatment technology to local municipal sewage treatment, promoting the sustainable development of sewage treatment.
Recyclable and biodegradable bio-based polyurethane elastomers with exceptional mechanically properties
Authors: Wu Jiyang , Zheng Bangjun
Published: April 2024

Bio-based polyurethanes (BPUs) have garnered significant attention due to their sustainable nature and potential to replace conventional petroleum-based PUs. This study delves into the synthesis, characterization, and application of a novel BPU variant, BPUPEG, derived from A-B-A triblock polyols. DSC tests highlighted the crystallization properties of the PEG block within BPUPEG, setting it apart from other BPU samples. Structural insights were further obtained from POM and WAXS tests, revealing the nanocrystalline structures and differences among the BPU samples. Mechanical testing showcased BPUPEGs superior fracture stress and strain, emphasizing its enhanced mechanical properties. Biodegradation experiments were conducted, underscoring the environmentally benign nature of all BPUs, with BPUPEG demonstrating a slower hydrolysis rate attributed to its PEG crystalline phase. Importantly, BPUPEGs degradation byproducts were ascertained to be non-toxic, emphasizing its eco-friendly attributes. The study also explored BPUPEGs recyclability, confirming its potential for multiple reuse cycles without degradation in mechanical properties. In conclusion, BPUPEG emerges as a sustainable, high-performance BPU, holding promise for diverse applications in the future, aligning with global sustainability and carbon reduction goals.
Vanadium redox flow battery: Characteristics and application
Authors: Yu Yibo
Published: April 2024

Renewable energy such as solar energy and wind energy will enter a new period of development. However, the output power of photovoltaic power generation has great randomness. In order to ensure the normal operation of the whole photovoltaic power generation system, it is particularly important to introduce smooth power dynamics of energy storage system (ESS) to ensure electrical stability. As an energy storage device, flow batteries will develop in the direction of large-scale and modularization in the future. The flow battery system can easily realize computer automatic control and is an ideal smart battery. In addition, the combination of flow batteries with photovoltaic cells, wind power stations, tidal power stations, biogas power stations and other renewable energy systems is an important category and content in developing the application fields of flow batteries. As a new type of green battery, Vanadium Redox Flow Battery (VRFB) has the advantages of flexible scale, good charge and discharge performance and long life. It is suitable for large-scale electric energy storage and has attracted wide attention in recent years. In this paper, the characteristics and applications of liquid flow battery and VRFB are summarized. This paper starts from introducing ESS, analyzing several types of flow batteries, and finally focusing on VRFB to analyze its technical characteristics and application market.
Application of artificial wetland technology in Miyun Reservoir water management
Authors: Zhu Yueyun
Published: April 2024

In recent years, with the increasing attention to environmental pollution, water quality management has become an important part of protecting water resources and maintaining ecological balance. And as an important means of water pollution remediation, artificial wetlands have gradually received widespread attention. Miyun Reservoir, as an important drinking water source in Beijing, is particularly important for water quality management. As an ecological restoration technology, artificial wetland has significant water quality improvement effect by simulating and improving the function of natural wetland. Therefore, artificial wetland has important scientific research and practical significance in the water management of Miyun Reservoir. In this paper, we will discuss the application of artificial wetland in water management of Miyun Reservoir, and summarise the results and conclusions of the study, highlight the impact and significance of the study, and look forward to the future research direction. By exploring the application of artificial wetlands in reservoir water management, it is expected to provide scientific basis and technical support for water resource management departments and decision makers, and contribute to the improvement of water quality and ecological restoration of Miyun Reservoir.
Mother Pampa in Salman Rushdie’s Victory City
Authors: Warda Wahaj Unnisa , Karim Mohammad Rezaul
Published: April 2024

Erich Neumann's The Great Mother: An Analysis of the Archetype provides a profound and comprehensive analysis of the mother archetype, delving into its deep-rooted significance in the human psyche. Neumann explores how this universal representation of motherhood represents not only life, nourishment, and protection but also encompasses broader themes of creation, sustenance, and empowerment. By examining its manifestations across diverse cultures, myths, and religions, he uncovers the far-reaching impact of this archetype on both individual and collective consciousness. Neumann's analysis of the mother archetype particularly emphasises the mother’s role in shaping human experiences, relationships, and cultural narratives. The writer examines Salman Rushdie’s novel Victory City based on these aspects of matriarchy leading to the complex interplay between the personal and collective unconscious, highlighting how the mother archetype influences understandings of femininity, masculinity, and the dynamics of power.
Frostman lemma revisited
Authors: Dobronravov Nikita
Published: April 2024

We study sharpness of various generalizations of Frostman's lemma. These generalizations provide better estimates for the lower Hausdorff dimension of measures. As a corollary, we prove that if a generalized anisotropic gradient \((\partial_1^{m_1} f, \partial_2^{m_2} f,\ldots, \partial_d^{m_d} f)\) of a function \(f\) in \(d\) variables is a measure of bounded variation, then this measure is absolutely continuous with respect to the Hausdorff \(d-1\) dimensional measure.
Mermelada de camu-camu: Procesamiento, propiedades reológicas, aceptación sensorial y estabilidad en el almacenamiento
Authors: Bazán-Colque Ronel Joel , Ruiz-Barreto Fiorella Ivette , Leandro Laguna Caleb , Basilio Atencio Jaime Eduardo
Published: April 2024

El camu-camu es una de las especies más importantes de la Amazonía peruana y su consumo in natura es una restricción, debido a su alta acidez. Sin embargo, su uso es posible en productos alimenticios como la mermelada. Así, el objetivo de este estudio fue elaborar seis (6) formulaciones de mermeladas de camu-camu por medio de un diseño factorial 2 × 3 para evaluar sus parámetros reológicas y aceptación sensorial. Además, se evaluó la estabilidad de la consistencia en el almacenamiento mediante pruebas aceleradas de la mejor formulación. Las formulaciones fueron: T1 (50:50:0,5), T2 (50:50:1), T3 (50:50:1,5), T4 (60:40:0,5), T5 (60:40:1) y T6 (60:40:1,5), que contenían pulpa:azúcar:pectina (%:%:%), respectivamente. Las mediciones reológicas se realizaron en un viscosímetro de Brookfield, que ayudaron a calcular el índice de consistencia (K: 12,60 a 51,48 Pa·sn) y el índice de flujo (n: 0,22 a 0,73) mediante el modelo reológico de Ley de la potencia (R2 > 0,9), revelando fluidos con comportamiento pseudoplástico. La evaluación sensorial se realizó mediante la prueba de aceptación con 15 panelistas y una escala hedónica de 9 puntos. La formulación T2 mostró los mejores resultados entre los parámetros reológicos (mayor K) y aceptación sensorial. La estabilidad de K en el almacenamiento presentó un orden de reacción de cero, una velocidad de reacción lineal y una energía de activación de 2,5495 kcal.mol-1. Los resultados obtenidos aportan información relevante para el dimensionamiento de máquinas y equipos, control de calidad y desarrollo de nuevos productos alimenticios en la región amazónica.
Теоретико-психологический анализ современных представлений о профессиональной идентичности: проблемы развития. Часть 2
Authors: Брызгалин Евгений , Александрова Юлия , Пряжников Николай
Published: April 2024

Профессиональная идентичность (ПИ) — одна из самых актуальных тем в научной психологии. Несмотря на это, в ее рамках остаются малоизученные и проблематичные аспекты, среди которых важно упомянуть развитие профессиональной идентичности в период ранней взрослости (молодости), зачастую включающий этап студенчества. Существует много академических взглядов на становление ПИ в указанную фазу жизни, и особенный интерес представляют наиболее согласованные из них, однако они находятся во многом в бессистемном состоянии в научно-психологической литературе. Для того чтобы исправить это положение, мы провели вторую часть литературного обзора, посвященную генезу профессиональной идентичности. Нам удалось показать, что 1) формирование ПИ в целом зависит от особенностей профессионального выбора, результатов профессиональной социализации, самодетерминации профессионального поведения, а также профессионального совершенствования; 2) такие свойства личности, как рефлексия, адаптивность, мобильность (гибкость/пластичность) и умение устанавливать и поддерживать связи, благоприятствуют обретению реализованной ПИ и способствуют переживанию профессиональной конгруэнтности, дающей импульс к наслаждению собственной профессией; 3) молодость – сензитивный отрезок жизни для становления ПИ, поскольку человек активно ищет себя в профессиональном плане, причем существенное влияние на этот процесс оказывают уровень образования, социально-экономический потенциал, отношения с семьей и со сверстниками, а также хобби; к тому же в силу самобытности ПИ в ранней взрослости ее необходимо изучать независимо от других стадий личностного развития; 4) у студентов могут быть всевозможные формы ПИ, но достигнутая профессиональная идентичность присуща тем из них, кто прикладывает наибольшие усилия для профессиональной самореализации. Мы приходим к выводу, что исследования профессиональной идентичности должны продолжаться, чтобы заполнить многие пробелы: это может принести не только научно-теоретическую, но и практическую пользу.