bluuebunny/crossref_metadata_2025 huggingface dataset:
Análise multidimensional da agricultura: uso de PCA e clustering para identificação de padrões e eficiência em práticas agrícolas
Authors: Vasconcelos Eduardo Silva , Silva Leandro Aureliano da , Santos Fernando Augusto dos
Published: December 2024

Este estudo investiga padrões agrícolas utilizando a Análise de Componentes Principais (PCA) integrada ao algoritmo K-means para reduzir a complexidade de dados e identificar clusters de propriedades agrícolas com características distintas. O objetivo central é explorar variáveis críticas, como tamanho de propriedades, uso de insumos e produtividade, para propor práticas mais eficientes e sustentáveis. A metodologia baseia-se no processamento de um conjunto de dados do Kaggle, aplicando PCA para reduzir dimensionalidade e K-means para identificar clusters. Os dados foram organizados em três grupos principais: grandes fazendas com alta produtividade e uso moderado de insumos, pequenas propriedades com alta dependência de fertilizantes e produtividade limitada, e fazendas intermediárias com uso intensivo de recursos hídricos e químicos. Os resultados mostram que o Cluster 0 representa o modelo mais eficiente, enquanto os Clusters 1 e 2 evidenciam desafios de manejo e sustentabilidade. O estudo contribui ao demonstrar que a integração de PCA e K-means não só simplifica a análise de grandes conjuntos de dados, mas também fornece insights para a formulação de políticas agrícolas regionais. Este trabalho avança no uso de métodos analíticos para agricultura, promovendo práticas adaptativas e equilibrando produtividade e sustentabilidade. Como limitações, sugere-se ampliar a abrangência dos dados e incluir fatores climáticos em análises futuras, bem como explorar a integração de novas ferramentas analíticas.
A contribuição de medidas educativas sobre a saúde e segurança do trabalhador para a redução de acidentes de trabalho
Authors: Silva Isabelle Roberta Machado , Silva Rosilene de Lima Machado
Published: December 2024

Dado o crescimento dos acidentes relativos ao trabalho no Brasil e no mundo, provocando sofrimentos físico e mental aos trabalhadores, tendo em vista que, em muitos casos, os acidentes são fatais, esta pesquisa teve como objetivo apresentar os números de acidentes de trabalho no Brasil, entre os anos 2018 e 2022, e salientar a contribuição de medidas educativas para a formação do trabalhador e empregador com vistas à diminuição desses números. O procedimento metodológico consistiu em uma sucinta revisão bibliográfica sobre o tema em estudo, e os dados sobre o número de acidentes de trabalho foram coletados no Portal de Transparência do Ministério da Previdência Social. Os dados foram analisados de forma qualitativa, a fim de apresentar o número total de acidentes de trabalho, bem como o número de registros de Comunicação de Acidente de Trabalho (CAT), e ainda evidenciar se as medidas educativas providas pela Comissão Interna de Prevenção de Acidentes e de Assédio (CIPA) e a Semana Interna de Prevenção de Acidentes do Trabalho (SIPAT) contribuíram para a redução do número de acidentes. Os resultados apontaram para um aumento do número total de acidentes de trabalho, entre os anos 2018 e 2022, sendo segregados os registrados e os sem registros; houve diminuição do número de acidentes sem registro. Infere-se que as medidas educativas não estão sendo eficientes para a diminuição dos riscos de acidentes de trabalho.
“Homem na estrada”: a trajetória de jovens egressos da medida socioeducativa de internação em debate
Authors: Gomes Thaywane do Nascimento , Ortegal Leonardo Rodrigues de Oliveira
Published: December 2024

Discute o acompanhamento pós-medida socioeducativa de internação a partir de resultados de pesquisa sobre trajetórias de jovens, suas vivências e histórias de vida na na internação e no pós-medida. Discute a política de acompanhamento ao egresso.
Removing drug residues from water using biosorbents: a review of academic works
Authors: Geraldo Marina Lima Guedes , Costa Gabriel Augusto da , Carrilho Elma Neide Vasconcelos Martins
Published: December 2024

Water pollution by emerging contaminants (EC) is one of today's most significant environmental problems. Among these are pharmaceutical compounds, which are increasingly being discarded into watercourses. Due to the toxicity caused by residues of these substances, it is essential to develop techniques to remove these contaminants. Thus, through bibliographic research, this study investigates Brazilian academic works such as theses and dissertations that report studies on removing pharmaceutical residues from water using biosorption processes as a high-potential, low-cost alternative for decontamination. An advanced search was carried out in the Brazilian Digital Library of Theses and Dissertations, using the words "adsorption" and "pharmaceuticals," considering all the works documented on this database until 2024. After selective reading, the search resulted in 55 academic works on the field. Most of the research investigated the use of activated carbon produced from coconut shell waste, avocado pits, sugarcane bagasse, and sewage sludge as biosorbents, as well as chitosan-based composites, magnetic hybrid materials, wood sawdust, algae biomass, and grape pomace. As for the pharmaceutical residues, the most common contaminants studied were sodium diclofenac, amoxicillin, paracetamol, and ciprofloxacin. Although promising results have been reported using these alternatives for remediating water contaminated by pharmaceuticals, biosorption processes still require further development before they can be fully applied to treat wastewater or supply and spring waters.
Forecasting of US GDP using Two Different Methods
Authors: Xu Chuan
Published: December 2024

In the rapid development of society and economy today, Gross Domestic Product (GDP) is regarded as a significant indicator to measure a country’s economic development and residents’ income. In this study, the author introduced several methods used by many scholars in the history, included BP neural network and ARIMA model. Then the author gave two different methods (Series and non-linear regression), next the author used past US GDP data predicted the US GDP tendency in next 2 years. By using first method author figured out the GDP value in 2024 and 2025 is 29.112226k and 30.931449k. And the GDP value in 2024 and 2025 which are predicted by regression is 29.57k and 31.598k. These different results illustrate the difference in prediction between the two different methods. The author explained the different results, and mentioned the advantages and disadvantages of these two methods. At the end future research direction and application were discussed.
The Electrification of Transport: Key Drivers, Challenges, and Future Directions
Authors: Li Zeyu
Published: December 2024

The electrification of transport is increasingly recognized as a pivotal strategy in global efforts to mitigate climate change, reduce greenhouse gas (GHG) emissions, and decrease dependency on fossil fuels. This paper investigates the key drivers behind the shift toward electric transportation, emphasizing environmental benefits, energy security, and technological advancements. Notable environmental advantages include significant reductions in CO2 emissions and air pollution, while energy security is enhanced by diminished reliance on oil and improved integration of electric vehicles (EVs) with renewable energy sources. Technological progress in battery systems, electric drivetrains, and smart grid infrastructure has accelerated the feasibility of widespread EV adoption. Despite these advances, the transition to electric transport faces several challenges, including the need for extensive charging infrastructure, sustainable sourcing of critical materials like lithium and cobalt, and the economic impacts on industries and labor markets. The paper explores strategies to overcome these challenges, such as advancements in recycling technologies, enhanced grid management, and supportive economic policies. By analyzing both the drivers and barriers, this paper provides a comprehensive assessment of the current landscape and future prospects for sustainable transport electrification.
Systematic Analysis of Memristor Theory, manufacture and application status
Authors: Li Yanru
Published: December 2024

Research into memristor technology has gained significant momentum because of its ability to revolutionize storage and neuromorphic computing. Memristors are two-terminal devices that retain an electrical resistance state based on prior voltage applications, embodying a nonlinear element suited for future electronic systems. Because they have low energy requirements, rapid switching capabilities, and ability to store multiple states, memristors are well-positioned to significantly influence the development of cutting-edge memory solutions and serve as artificial synapses within neuromorphic computing systems. This paper provides an exploration of recent advancements of the memristor technology, focusing on material composition, switching mechanisms, and their applications such as non-volatile memory, reconfigurable logic gates, and neuromorphic computing systems. By analyzing materials such as binary oxides, perovskites, and two-dimensional compounds, the review delves into how these materials enhance performance characteristics like speed, endurance, and energy efficiency. The discussion underscores the transformative potential of memristors in shaping next-generation computing architectures, making them a cornerstone of future innovations in both digital and analog computing.
Gan Vertical Power Finfets Using BN As Gate Dielectric
Authors: Mei Zhaobo
Published: December 2024

Over the past few decades, the semiconductor industry has undergone rapid advancements and transformative evolution, particularly in semiconductor materials. Wide bandgap (WBG) semiconductors, represented by gallium nitride (GaN) and silicon carbide (SiC), offer significant advantages over traditional silicon-based technologies. This research explores the suitability of BN as a dielectric material in GaN vertical power FinFETs, specifically targeting high-temperature applications. BN thin films are directly deposited by microwave-plasma-assisted chemical vapor deposition (CVD). The presence of BN is confirmed by X-ray photoelectron spectroscopy (XPS). GaN/BN vertical FinFETs are demonstrated for the first time with a current on-off ratio of 10. The high-resolution transmission electron microscopy (HRTEM) reveals the presence of BN on GaN non-polar sidewalls. BN metal-insulator-semiconductor (MIS) gate diode demonstrates increased breakdown voltage compared to GaN Schottky gate diode. Hydrogen plasma has been pinpointed as the main culprit behind variations in dielectric film thickness and the deterioration of crystal quality, both of which contribute to increased gate leakage current. Through the optimization of deposition conditions, the enhanced device demonstrates outstanding performance and maintains stable operation at temperatures up to 573K. This study provides a valuable foundation for future research on BN-based gate dielectrics in GaN vertical transistors.
Research on the Coordinated Development within Provinces in Regional Economic Development: A Case Study of Henan Province
Authors: Li Yao
Published: December 2024

With the sustained rapid growth of the economy, China has achieved significant results in promoting regional coordinated development. However, in a more micro-scale spatial scope, it still faces challenges of unbalanced and uncoordinated regional development. This study uses index analysis and relevant literature to explore the current regional development status of Henan Province. Based on the relevant data published in the Henan Statistical Yearbook from 2018 to 2023, this article calculates and analyzes the Theil index of Henan Province as a whole and its four internal regions. The research results indicate that regional economic disparities are the result of the combined effects of multiple factors over a long period, and the fundamental reason for these disparities is the uneven distribution of resources. At present, the differences within Henan Province and within different regions of Henan Province are gradually narrowing, and the economic differences in Henan Province are mainly caused by the differences between the four regions. The Central Plains Urban Agglomeration is the region with the largest difference among the four regions.
Safety hazards and solutions of lithium-ion batteries
Authors: Li Yuanhao
Published: December 2024

The invention and application of lithium-ion batteries (LIBs) have significant impacted on modern life. LIBs operate on the same principle as all secondary electrochemical cells, primarily relying on the movement of lithium ions between the positive and negative electrodes. Reversible energy release and storage are achieved through controlled redox reactions. LIBs are widely used in contemporary society due to their high energy density, long service life, and low self-discharge rate. However, LIBs also present certain safety risks. For instance, during charging and discharging, as well as when the battery’s exterior experiences a collision, temperatures can reach dangerous levels, leading to thermal runaway, fire or explosion. Enhancing the safety of LIBs has become increasingly important. This research examines the various origins of safety issues associated with LIBs, discusses the existing methods to address these problems, and outlines relevant international regulations are discussed with examples. By understanding these measures and safety testing methods, potential accidents can be reduced, thereby protecting the lives and property of consumers. It is anticipated that these efforts will stimulate improvements in LIBs safety, foster the development of more efficient LIBs, enhance consumer confidence in LIBs technology, and promote the healthy growth of related industries.
Photovoltaic Effect and Efficiency of Perovskite Solar Cells
Authors: Wang Xinnan
Published: December 2024

Recently, the solar cells have become a hotspot as the solar power is becoming more and more popular. There are many types of solar cells. Perovskite solar cells (PSCs), as a type of solar cell, use perovskite type semiconductors as the light absorbing materials. PSCs exhibit high efficiency and stability. The performance of solar cells could be evaluated by the photovoltaic effect. Therefore, the research on the photovoltaic effect of perovskite solar cells is of importance. This essay gives a brief introduction to the composition and structure of perovskite solar cells. Then, it introduces the photovoltaic effect of perovskite solar cells in two parts which include working principle and efficiency of PSCs. In order to further elucidate the mechanism of PSCs, the influencing factors of photovoltaic effect are discussed. Meanwhile, the limitations and challenges of perovskite solar cells are outlined. Besides, the future development trend regarding these issues is outlined. This work will help to promote further development of this field.
Research on the Determinants of Real Estate Prices in China under Supply and Demand
Authors: Mao Yanlin
Published: December 2024

Since the reform and opening up, the real estate industry has gradually become the pillar industry of the Chinese people, directly or indirectly promoting the development of macro-economy. However, in recent years, the continuous rise of housing prices has become the focus of attention of the government and all sectors of society, which has triggered extensive and in-depth discussion and attention on the real estate industry. Real estate prices are not only closely related to people's lives, but also related to the development of cities and the long-term stability of the country. The healthy development of the real estate industry is also related to the composition of household wealth and government revenue, as well as the stable development of the national economy. Therefore, it is of great practical significance to pay attention to the changes of housing prices. This paper mainly summarizes and reviews the relevant literature on the analysis of factors affecting house prices at home and abroad from three aspects: the supply side, the demand side and the hedonic price model of real estate. It provides basic underlying logic for academic research, policy-making, practical application and individual house purchase decision-making.
The Impact of Green Finance on the Eco-friendly Transformation and Innovation of Heavily Polluting Enterprises
Authors: Lam Chishing , Xiong Lihang , Zhou Zihan , Zhang Zheyan
Published: December 2024

As environmental concerns continue to escalate, green finance has become a pivotal instrument for fostering sustainable economic growth, attracting heightened attention. This article, by reviewing literature and empirical analyses from 2018 to 2024, explores the mechanism by which green finance influences heavily polluting enterprises to promote green transformation and innovation. The results of research confirm that green finance will intensify the financing constraints and pressures on heavily polluting enterprises, thereby motivating them to accelerate transformation or innovation; at the same time, green finance also advances the improvement of market regulation, bringing green talent flow; in addition, green credit, as the main proportion of green finance, is also gradually playing its positive role in a larger range. Through the literature research, this article believes that green finance policies provide a variety of choices, which strongly foster the development of green industries and stimulate enterprises to undergo autonomous transformation and innovation; it also provides relevant suggestions for the green transformation of heavily polluting enterprises in various industries.
Enhancing Sodium-Ion Battery Performance: A Focus on Electrode Materials
Authors: Wu Feiyang
Published: December 2024

As lithium-ion batteries (LIBs) near their performance limits, finding alternative energy storage solutions has become crucial for the future of electric vehicles. Sodium-ion batteries (SIBs) have emerged as a promising candidate due to their similar working mechanisms to LIBs, yet they hold the potential for more cost-effective and sustainable energy storage. However, the technology behind SIBs is still in its developmental stages, and achieving commercial viability remains a challenge. This review focuses on the importance of electrode materials in advancing high-performance SIBs. By analyzing several highly regarded studies, this article explores how different types of electrode materials, such as carbon-based anodes and layered oxide cathodes, can improve energy density, cycle life, charge/discharge rates, and overall efficiency. The review also addresses the current challenges these materials face and discusses possible strategies for overcoming them. Ultimately, this paper aims to provide a comprehensive understanding of the key role electrode materials play in driving the future of SIB technology and what advancements are needed to realize their full potential.
Compare Industrial Development Between China and America: Centered on Wind Turbine Production
Authors: Chen Siyu , Huang Zijian , Yang Songying
Published: December 2024

With the impact of climate change on the planet, wind energy has become a key part of the shift from fossil fuels to clean energy. Over the past decade, the wind energy industry has experienced rapid growth, with the production of wind turbines expanding to meet the growing demand. This expansion is not only a testament to advances in wind turbine design and manufacturing technology, but also a global commitment to increasing the share of renewable energy in the overall energy mix. On the one hand, wind energy, as a renewable energy source, plays a crucial role in reducing carbon emissions as it is capable of generating electricity without producing harmful emissions or depleting natural resources. Unlike fossil fuels, wind energy is abundant, widely distributed and sustainable in meeting the world's energy needs. Wind energy helps to reduce carbon emissions, improve air quality and minimize water consumption compared to conventional methods of power generation.
The Impact of Digital Finance Development on Enterprises
Authors: Liu Jiarui
Published: December 2024

As a new generation of financial services combined with traditional financial services through the Internet and information technology, digital finance will certainly have a far-reaching impact on enterprises. This paper reviews the development of digital finance in recent years for the help of enterprises. This paper firstly discusses the influence of digital finance on the technological innovation of enterprise, mainly from the perspective of financing structure, and optimization of enterprises governance. Secondly, this paper discusses the role of digital finance in the high-quality development of enterprises, mainly from the perspective of financial support, reducing non-compliance and ESG performance. In addition, the paper summarizes the impact of digital finance on the optimization of enterprises financial structure and the positive effect of digital finance on enterprises value. Finally, the paper looks at the future development of digital finance in the context of technology-driven innovation and the comprehensive digitization of financial services.
Research Progress of Silicon/Carbon Anodes in Lithium-Ion Batteries
Authors: Fu Jiayi
Published: December 2024

Lithium-ion batteries (LIBs) have garnered attention because of their high energy density and lightweight properties. However, LIBs typically use graphite for the anode material, which shows a relatively low specific capacity that can hardly meet the growing energy storage demands. Compared with traditional graphite anodes, silicon anodes have already been proven to possess higher specific capacities. Additionally, silicon is abundant and relatively inexpensive. Nonetheless, silicon anodes undergo significant volume expansion during the charge-discharge process, generating mechanical stress that can lead to potential cracking and capacity loss. Moreover, they exhibit relatively low initial coulombic efficiency, causing a considerable amount of lithium to be irreversibly consumed during the initial cycles. To address these issues, various nanotechnology-based strategies have been developed, including silicon/carbon (Si/C) composite anodes and the development of other nanostructured materials. These approaches aim to optimize interface structure, particle structure, and composite structure design to enhance battery performance and durability. This paper provides a comprehensive review of the application of nanotechnology in silicon anodes, focusing on the advancements in silicon/carbon composites and their effects on mitigating volume expansion, improving initial coulombic efficiency, and maintaining capacity retention. Additionally, it analyzes the impact of different nanostructure designs on battery performance.
Research on the development trend of new energy vehicles under the background of price war
Authors: Wang Junjie
Published: December 2024

In recent years, the new energy vehicle industry has experienced rapid growth, becoming a major market player. This development is highly driven by increased awareness of environmental issues and the advancement of policies and regulations aimed at promoting sustainable transportation. As a result, more consumers and manufacturers are focusing on electric vehicles, leading to significant changes in the automotive market landscape. This article introduces the new energy vehicles market under the background of price war. Although the demand growth slow down and the market recovery lagging temporarily, the market shows broad development space. However, the competition in the new energy market is raging, typically influenced by the price war. Companies had to reduce their profit as many subsidies was delivered by the governments and competitors. And the competition is distinguished in different price level, showing diverse price war feature. In such environment, companies in China are devoted into oversea market, bringing to additional expand and more styles of competitions and development.
Design and development Analysis of Deep UV photodetectors
Authors: Liu Zonghao
Published: December 2024

The development of deep-ultraviolet (DUV) photodetectors has gained significant attention due to their broad applications. With the increasing demand for high-performance detectors that can operate in harsh environments, research on optimizing their materials and structural design has become a critical focus. This paper introduces the basic working principle, structural composition, and performance evaluation criteria of deep-ultraviolet (DUV) photodetectors, focusing on the analysis of the optimization of materials and structure to improve the performance of detectors. Deep ultraviolet photodetectors are based on the photovoltaic effect of semiconductor materials to realize the conversion of photoelectric signals. It is shown that the photo responsiveness and stability of the photodetector can be effectively improved by introducing a composite film of the rare earth element cerium tungstate (Ce-WO3). In addition, the structural optimization of graphene-β-Ga2O3 heterojunction and n-Ga2O3/p-GaN heterojunction is employed to significantly improve the spectral selectivity, responsivity and long-time stability of the detector. This paper also explores the potential of these improvements for applications in the fields of UV communications, UV optoelectronic integrated circuits, environmental monitoring and military spaceflight.
Analysis Of Output Characteristics of Three Different Ga2O3 Heterojunction UV Photodetectors
Authors: Zhu Xiaopeng
Published: December 2024

Phototransistors can be used as switches and amplifiers in digital and ultraviolet photodetectors, respectively. Gallium oxide ( Ga2O3) is a common material used to make devices like transistors. However, these photodetectors usually face some problems of drain current saturation and bias saturation. But regulating the transistor switching ratio usually requires adding a voltage to the gate terminal, and will cause high current flow throughout the transistor if the gate power supply pressurized beyond the threshold. The structure of a LET is similar to that of a conventional field effect transistor (FET), and they also have similar current and voltage output characteristics, but the difference is that the LET is also subject to light regulation. This paper mainly concentrates on the analysis of LFT devices made of heterojunction of three different materials n- /p-GaN, Nanoporous /GaN and Graphene/β- , and analyzes and compares a series of key parameters such as switch ratio and responsiveness, etc. Through these comparisons, this paper can more clearly understand what LFT devices made of different materials can better adapt to the needs of different experiments. Under different voltage ranges and light intensity, LFT devices made of different materials can better adapt to the needs of experiments.
Advancing Anemia Screening: Performance of the Aspen Hb Meter Compared to Standard Methods
Authors:   Department of Radio-diagnosis, Al-Ameen Medical College & Hospital, Vijaypur (Karnataka), India., Nasa Dr. Ashish , Mutreja Pankaj ,   Life Care Hospital (NABH Accredited), Karnal (Haryana), India., Bhardwaj Rohtash ,   Life Care Hospital (NABH Accredited), Karnal (Haryana), India., Tyagi Dr. Pankaj K. ,   School of Biotechnology, Noida Institute of Engineering and Technology, Gautam Buddha Nagar (U. P.), India
Published: December 2024

Anemia, a global health concern with significant prevalence in low- and middle-income countries, poses serious challenges for women of reproductive age, particularly in resource-constrained environments. Early and accurate hemoglobin estimation is critical for timely intervention; however, traditional methods like the cyanmethemoglobin assay and automated hematology analyzers are impractical in decentralized settings. This study evaluates the performance of the Aspen Hb meter, a portable, spectrophotometry-based device, against the Serachem SC-60+ auto hematology analyzer. Hemoglobin levels from 1,280 adult females were analyzed, showing a strong correlation (R² = 0.977) and clinically acceptable agreement in Bland-Altman analysis. The Aspen Hb meter achieved a sensitivity of 98.14%, specificity of 95.80%, and accuracy of 97.57%, with minimal diagnostic errors. Its portability, rapid response, and cost-effectiveness highlight its utility in point-of-care diagnostics and public health programs. This device offers a scalable solution for improving anemia screening and management in low-resource settings, particularly in maternal health initiatives.
FREQUENCY OF UTERINE CURETTAGE AS A RISK FACTOR AMONG PATIENTS WITH PLACENTA PREVIA PRESENTING AT TERTIARY CARE HOSPITAL
Authors: GUL F , AFTAB A , AFTAB M , AJMAL H , SARWAR S
Published: December 2024

Placenta previa is the placenta lying entirely or in part in the lower uterine segment. Its incidence is about 0.28–2%. In local studies, a frequency of 0.51–3.5% has been reported. Advancing maternal age, multiparity, previous cesarean sections, miscarriages, uterine curettage cocaine use, smoking, and previous history of placenta previa have all been attributed as risk factors for placenta previa. Objective: To determine the frequency of uterine curettage leading to placenta previa among women presenting to tertiary care hospitals. Methods: This Descriptive cross-sectional study was conducted at the Department of Gynaecology and Obstetrics, Lady Reading Hospital Peshawar from 2/10/2020 to 2/4/2021. In this study, a total of 136 patients were observed. History was taken from the patient (bleeding, pain in abdomen to exclude other causes). Placenta previa was defined as placenta covering or reaching within 2 cm of internal or detected by the last trans-abdominal ultrasonography before delivery. Results: Our study shows that among 136 women mean age was 34 years with SD ± 8.91. 30(22%) patients were primi para while 106(78%) patients were multi para. 27(20%) patients were primi gravida while 109(80%) patients were multi gravida. More than 29(21%) patients had uterine curettage while 107(79%) patients didn’t have uterine curettage. Conclusion: Our study concludes that the frequency of uterine curettage in patients presented with Placenta previa was 21% in our setup.
Circular Economy for Sustainable Construction Material Management
Authors: Firoozi Ali Akbar , Firoozi Ali Asghar
Published: December 2024

The construction industry is a major contributor to global resource consumption and environmental degradation, emphasizing the need for sustainable material management. This study explores the integration of circular economy (CE) principles into the construction sector to enhance resource efficiency, reduce waste, and promote the reuse and recycling of materials. We review current practices identify barriers to CE adoption, and propose innovative strategies such as modular design, material passports, and digital platforms for material tracking and exchange. The environmental, economic, and social benefits of adopting these principles are examined through detailed case studies of pioneering projects that showcase significant reductions in environmental impact, operational costs, and enhanced social value. The paper highlights the potential of CE to transform the construction industry towards sustainable practices that align with the Sustainable Development Goals (SDGs) on responsible consumption and production, and sustainable cities and communities. The study concludes by discussing the challenges and opportunities in mainstreaming circular economy practices within the industry, urging a collaborative approach among stakeholders for successful implementation.
Advancing Pavement Sustainability with Recycled Materials
Authors:   1Department of Civil Engineering, Faculty of Engineering, University of Botswana, Gaborone, Private Bag: UB0061, Botswana, Firoozi Ali Akbar , Firoozi Ali Asghar ,   Department of Civil Engineering, Faculty of Engineering, National University of Malaysia (UKM), Selangor, Malaysia
Published: December 2024

The increasing environmental concerns and depletion of natural resources have catalyzed the exploration of sustainable alternatives in civil engineering practices, particularly pavement construction. This study evaluates the efficacy of using recycled materials—crushed concrete aggregate (CCA), reclaimed asphalt pavement (RAP), and recycled plastics—as viable substitutes for traditional pavement materials. By examining mechanical properties, environmental impacts, and real-world implementations, the research highlights the potential of these materials to meet or exceed the performance standards of traditional pavements. Mechanical testing shows that recycled materials provide comparable or enhanced performance metrics, while life cycle assessments reveal significant reductions in carbon emissions, resource consumption, and ecological toxicity. Case studies from diverse geographical contexts further validate the practical applicability and effectiveness of recycled materials. The study concludes with recommendations for standardizing material processing, updating policies, and continuing research to address long-term durability and environmental concerns. This paper contributes to the literature on sustainable civil engineering by providing a pathway for the increased adoption of recycled materials in pavement construction, thus aligning with global sustainability objectives.
Expressions of Womens Empowerment in LOral China Advertisements: A Comparative Analysis of Image Ads and Product Ads
Authors: Wu Wentao
Published: December 2024

In recent years, the research on advertisements (ads) that promote womens empowerment has focused on their commercial implications, consumerist characteristics, and the portrayal of women within them. Nevertheless, they tend to treat womens empowerment ads as a monolithic entity, neglecting the differences in production purposes and ideological expressions between image and product ads. Taking LOrals iconic slogan Because Were Worth It, which commemorates its 50th anniversary, as an entry point, the study selects the ten most popular image and product ads released by LOral on major media platforms in China since 2021. In addition, through a comparative analysis based on content analysis, it explores how these two types of ads express feminist ideas in terms of textual content, core symbolic figures, and narrative structures. Focusing on the expression of feminism in LOral Chinas ads, the comparative analysis reveals the similarities and differences between image and product ads. The results indicate that image ads emphasize a culture of confidence and individualism, conveying the concept of women empowerment through emotional narratives, while product ads rely more on commodity feminism, linking consumer behavior to womens confidence and capabilities. Based on these insights, it offers insights to refine LOrals advertising strategies.
The Moderating Role of Social Media Use on Paid Knowledge Consumption Intention in China: A Generation Z Perspective
Authors: Zhu Mingyang
Published: December 2024

With social media becoming a dominant platform, its use is frequently explored as a variable in various research contexts. Generation Z, being the digital natives, is deeply connected to social media, which has a considerable influence on their behaviors. This study examines Paid Knowledge Consumption (PKC), an emerging method of acquiring knowledge, and applies the Theory of Planned Behavior (TPB) to assess whether social media usage moderates Generation Zs intention toward PKC. Specifically, the study investigates the moderating role of social media use in the relationships between attitude, social norms, perceived behavioral control, and intention to engage in PKC. Data were collected from a sample of 211 Generation Z respondents using a quantitative research approach. Regression and moderation analyses were conducted after confirming model fit indices and Cronbach's alpha reliability. The regression analysis indicated that attitude, social norms, and perceived behavioral control significantly influenced PKC intention. However, the moderation analysis revealed that social media usage did not significantly moderate the relationship between the independent variables (attitude, social norms, perceived behavioral control) and PKC intention. These findings suggest that social media use does not affect Generation Z's intention to engage in PKC through its influence on these key factors.
Women's Survival Dilemma from the Perspective of Female Writers
Authors: Zhao Wanyuan
Published: December 2024

With the research on gender issues for a long time, women's studies have become very mature in all aspects. Although the theory is rich, there is still little concrete practical progress. This article focuses on the analysis of the perspective of female writers and looks at the current situation of women's life from their perspective. By perusing a considerable number of literary works, this paper selects four female writers and conducts an analysis of their representative works to elucidate three types of female survival predicaments: the absence of female desires, the absence of a female voice, and the presence of female objectification. By analyzing the works of these female writers, an obvious problem was reflected: the living conditions of women described in their books are still outdated in today's society. Until now, many women's desires have been ignored. Even as a gender that makes up half of the population, many important works lack a female perspective, and the image of women is still objectified, not only in literature and movie works, but also in real life.
Inflammatory factors and osteoporosis: a bidirectional Mendelian randomized study
Authors: Liu Xuezhi , Li Haoxuan , Zang Hu
Published: December 2024

Purpose: Osteoporosis (OP) poses a significant risk to the elderly population, which is rapidly increasing worldwide. Prior research has linked various inflammatory cytokines to the development of OP. This study employs Mendelian randomization (MR) to investigate the causal relationships between 41 inflammatory cytokines and OP, utilizing genetic variants as instrumental variables to clarify direct effects rather than mere associations. Methods: Genome-wide association studies summarize data of osteoporosis comprising 399,054 individuals (8,017 cases and 391,037 controls) for OP from Release 10 of FinnGen Biobank. The IEU OpenGWAS offered the GWAS data on 41 factors related to inflammation. MR is a statistical approach to minimize bias when analyzing whole genome sequencing data. This method offers a straightforward yet powerful framework that leverages genetic information to investigate various facets of human biology. Results: The results obtained from the inverse variance weighting (IVW) method suggest that lower circulating levels of interleukin-9 and higher levels of tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) and interleukin-18 are potentially linked to an increased risk of OP. Furthermore, our analysis using reverse Mendelian randomization did not reveal any evidence that osteoporosis influences the levels of these inflammatory cytokines. This finding reinforces the notion that the relationship between these cytokines and osteoporosis may be primarily causal, rather than bidirectional. Conclusion: These findings indicate that TRAIL, IL-18, and IL-9 may play an essential role in developing OP. Further investigation is necessary to determine if these biomarkers have the potential to be utilized in the prevention or treatment of OP.
Genetic analysis of poultry for market weight
Authors: Shang Yufeng
Published: December 2024

Poultry genomics studies have provided valuable insights into a variety of traits, with much of the attention focused on areas such as memory-related diseases and allergies. However, less attention has been paid to understanding the genetic basis of economically critical traits in poultry, particularly those that affect carcass yield and market weight. In this study, we explored the genetic determinants of these economically important traits, specifically focusing on the relationship between poultry chromosomes and outcomes such as carcass yield and market weight, which are key factors in poultry production efficiency. Our results revealed significant associations between specific bird chromosomes and these traits, with most chromosomes exceeding the significance threshold. This indicates that genetic factors have a strong influence on both carcass yield and market weight, suggesting that genetic factors play a more critical role in these traits than previously understood. Despite the strong associations observed, Principal Component Analysis (PCA) indicated that these chromosomes may be underrepresented, possibly due to limitations such as insufficient sample size, variable data quality, or complex data structure. These factors may contribute to the discrepancy between expected and observed results. Nonetheless, our study adds to the existing body of knowledge by highlighting the genetic basis of economically important traits in birds. These findings highlight the importance of improving experimental methods to increase the accuracy and reliability of poultry genetic research. The genetic insights gained from this study may help develop more targeted breeding strategies to increase carcass yield and market weight. Our study lays the foundation for future research that could lead to major advances in poultry breeding and production practices. By improving our understanding of the genetic factors that influence economically important traits, we can contribute to the development of more efficient and productive poultry farming methods, ultimately benefiting both the industry and consumers.
Neuroinformatics and AI: a synergistic approach to deciphering brain dynamics
Authors: Zhong Zicheng
Published: December 2024

Brain function studies often rely on magnetic resonance imaging (MRI) and electroencephalography (EEG) due to their non-invasive and complementary capabilities. MRI offers high spatial resolution but is limited by low temporal resolution, while EEG captures real-time neural dynamics but lacks spatial detail. While both modalities are widely used, integrating fMRI and EEG to leverage their strengths remains an ongoing challenge, particularly in understanding the complex interactions of spatial and temporal brain dynamics. Current methods, such as Canonical Correlation Analysis (CCA) and Independent Component Analysis (ICA), have shown promise but face limitations in capturing intricate multimodal relationships, especially in clinical diagnostics. Here, we present a novel attention-based deep learning model that integrates spatial features from fMRI with temporal sequences from EEG, employing Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. Our approach addresses previous limitations by enhancing feature fusion through dynamic attention mechanisms, which prioritize relevant data from both modalities. The model was rigorously evaluated using key metrics such as Accuracy, Precision, Recall, and F1 Score. Precision and Recall exceeded 80%, while the F1 Score surpassed 0.75, ensuring reliability in both research and clinical settings. The integration of fMRI and EEG with attention mechanisms significantly improves the accuracy and interpretability of brain function analysis. This model demonstrates potential for broader clinical applications, offering a robust tool for diagnosing neurological disorders. Future work will focus on improving computational efficiency and integrating additional data modalities, such as genetic or behavioral information, to provide a more comprehensive view of brain dynamics.
Evaluation of the application value of Yttrium-90 in the treatment of hepatocellular carcinoma (HCC)
Authors: Liu Yangyuyue
Published: December 2024

Hepatocellular carcinoma (HCC) is one of the most common and deadly forms of liver cancer worldwide, with limited treatment options available, especially in advanced stages. As a focused therapeutic method, Yttrium-90 (Y-90) radioembolization has showed promise recently, providing liver cancers with localized radiation therapy while limiting injury to healthy tissues. Research has indicated that Y-90 therapy can enhance overall survival rates and quality of life in patients with HCC at different stages. This makes it a viable substitute for conventional treatments such systemic chemotherapy or surgery. There are still gaps in our knowledge of the best patient selection criteria and long-term outcomes for Y-90 therapy, though. The therapeutic mechanisms, clinical uses, and results of Y-90 radioembolization in the treatment of early, intermediate, and advanced stages of HCC are examined in this article. The results show that Y-90 is useful in downstaging tumors, allowing early-stage patients a bridge to liver transplantation, and in intermediate-stage HCC patients better local control and fewer side effects than standard treatments. Y-90 therapy is a useful palliative alternative for individuals whose disease has progressed, as it prolongs survival and reduces symptoms. The research emphasizes how crucial patient selection and customized dosimetry are to maximizing Y-90 results. Unanswered questions about patient selection criteria and long-term consequences point to the need for more research aimed at maximizing Y-90's safety and effectiveness across a range of clinical populations.
Effects of a vegetarian diet on pregnant women
Authors: Zhou Yumeng
Published: December 2024

The aim of this paper is to explore the effects of vegetarianism on pregnant women, including the nutritional requirements during pregnancy, the nutrient composition of vegetarian diets and their potential effects on maternal and fetal health. Through a review and analysis of the existing literature, it was found that vegetarianism may have positive effects on pregnant women during pregnancy, such as reducing pregnancy sickness and avoiding excessive weight gain, but it may also lead to nutritional deficiencies, such as anemia and fetal growth retardation. This paper emphasizes that when choosing a vegetarian diet, pregnant women should self-assess, consult their doctors, and seek alternatives to compensate for nutrients lacking in the vegetarian diet to ensure their own health and that of their fetus.
Research Progress of Animal Models in Metabolic Syndrome
Authors: Du Aixuan
Published: December 2024

Animal models are frequently employed in illness research, mostly for investigations on experimental pathology, physiology, and therapeutics. This paper introduces that animal models play an important role in the study of metabolic syndrome based on existing literature and data. The result shows that metabolic syndrome encompasses a range of metabolic disorders caused by factors such as poor diet and lack of exercise. Clinical manifestations include obesity, hyperglycemia and hypertension. The advantages of using animal models include the ability to control environmental factors and facilitate intervention research. However, there are also disadvantages, such as physiological differences between animals and humans. Commonly used animal models include mouse models, such as obese mice induced by high fat diet, which can simulate the characteristics of human metabolic syndrome. In the future, the development of new, more human-like models may allow for better replication of the disease and more accurate studies.