bluuebunny/crossref_metadata_2025 huggingface dataset:
O impacto da ausência de habilidades sociais no enfrentamento ao estresse universitário
Authors: Grego Danilo Bonini Vascon , Souza Carlos Henrique Almeida , Aguiar Ana Eliza Cordeiro , Neves Aline Veloso , Alves Samara Vitória Silva
Published: February 2025

Objetivo: analisar, por meio de uma revisão integrativa da literatura, como os fatores estressantes na universidade podem ser potencializados por uma deficiência das habilidades sociais. Materiais e Métodos: foram selecionados artigos publicados nos últimos 21 anos, sendo localizados 134 artigos na base de dados Biblioteca Virtual em Saúde e Portal Periódicos CAPES. Após a aplicação dos critérios de exclusão, compuseram a amostra final 12 artigos, tendo sido a pesquisa qualitativa o delineamento mais presente. Resultados: os estudos revisados relataram os seguintes resultados: o estresse no ambiente universitário e sua maior reincidência entre os calouros, os efeitos positivos das habilidades sociais no manejo do estresse, os modelos de enfrentamento ao estresse e seu caráter preventivo à saúde mental e as diferenças entre homens e mulheres. Conclusão: a ausência de habilidades sociais potencializou fatores estressantes durante a vivência universitária e se correlacionou com o desenvolvimento de transtornos psicossomáticos, o estresse e o consumo de álcool. Percebe-se a necessidade de treinamentos sobre habilidades sociais e conscientização acerca de modelos de enfrentamento positivos.
Rezension von: Fecker, Herbert, Stuttgart
Authors: Setzler Sibylle , Fecker Herbert
Published: February 2025

Herbert Fecker: Stuttgart. Die Schlösser und ihre Gärten.Das Werden der Schlösser und Gärten von der gräflichenResidenz bis zur Internationalen Gartenbauausstellung.J. F. Steinkopf Verlag Stuttgart und Hamburg 1992.176 Seiten mit zahlreichen, meist farbigen Abbildungen.Leinen DM 88,-
Trends and Patterns of Higher Educational Attainments Among the Youth of Assam: Insights from NSSO’s Education Surveys
Authors: Das Jayashree , Sen Alok
Published: February 2025

Higher education plays a crucial role in shaping the societal and economic development of a region, especially in marginalized areas such as Assam, a north-eastern state of India. It serves as a powerful tool for empowerment, fostering human capital, and enhancing social mobility. Despite Assam's progress in improving higher education, significant disparities still persist, particularly among different socio-economic groups, undermining the potential for equitable development. While enrolment rates have increased over the past decades, these inequalities continue to impact educational outcomes across various segments of the population. This study aims to examine the trends and patterns of higher educational attainment among the youth of Assam, using data from multiple rounds of the National Sample Survey Office (NSSO) Education Survey. The study analyses disparities across gender, socio-economic groups, and urban-rural settings to understand the gaps in educational attainment. The findings reveal that while there have been notable improvements in educational participation, substantial inequalities remain, especially among different gender, social, and religious groups. Additionally, it has been observed that individuals from wealthier backgrounds tend to have higher educational attainments, and urban areas have experienced more pronounced improvements over the years. The study emphasizes the need for targeted policy interventions to ensure inclusive and equitable access to higher education in Assam, thereby fostering greater societal and economic development.
Um trabalhador do rádio: a contribuição de Amaral Gurgel para o rádio brasileiro
Authors: Gurgel Guilherme do Amaral , Da Silva Sergio Luiz Pereira
Published: February 2025

Este artigo tem por objetivo discutir a contribuição do produtor de cultura popular Amaral Gurgel no desenvolvimento da radionovela e do radioteatro enquanto formatos de melodrama. Como novidade, apresenta seu acervo pessoal até então inacessível a pesquisadores. Qual papel Gurgel desempenhou na construção e legitimação desses formatos narrativos? Quais informações o acervo familiar pode trazer a respeito desse processo?
A ascensão dos modelos virtuais e suas implicações na cultura contemporânea
Authors: Rodrigues Ana Paula Lopes da Silva
Published: February 2025

Este artigo explora o fenômeno dos influenciadores digitais criados por inteligência artificial (IA) e como esses modelos virtuais atraem milhões de seguidores nas plataformas digitais. O estudo de caso analisa o perfil no Instagram de quatro modelos virtuais (Lil Miquela, Shudu, Aitana Lopez e Kena Layli), além de discutir o impacto da IA e abordar questões éticas e sociais sobre o uso de influenciadores digitais por marcas e seu efeito na percepção de autenticidade e identidade. Por fim, conclui-se que o uso de IA para criar figuras públicas levanta questões éticas e comerciais sobre autenticidade, transparência e os impactos culturais de influenciadores digitais idealizados, destacando a necessidade de uma reflexão crítica sobre a comunicação e os padrões promovidos na mídia.
Impacto dos algoritmos na performance dos influenciadores digitais: gambiarras e visibilidade
Authors: Gonçalves de Mello dos Santos Kassieli Joaquina , Dalmolin Aline Roes
Published: February 2025

O presente artigo tem como objetivo analisar o impacto do sistema algorítmico na criação de conteúdo de influenciadores digitais (ABIDIN, 2015). A partir de uma revisão de literatura (ALVES-MAZZOTTI, 2002) e de análise de postagens no Instagram de quatro influenciadores digitais, com fundamento no paradigma indiciário (BRAGA, 2008), busca-se explorar as dinâmicas de adaptações das condutas desses sujeitos frente a sistemas de recomendação e modulação de conteúdo. A investigação reflete sobre o uso de "gambiarras” (MESSIAS, 2019) que consistem em soluções improvisadas que visam burlar as lógicas estabelecidas pelas plataformas digitais (VAN DIJCK; POELL; DE WAAL, 2019). Os resultados apontam a inserção compulsória do influenciador digital em um sistema de políticas opacas por visibilidade com performances permeadas pela constante tentativa de subversão.
Potencial de produção de energia e exportação de nutrientes pela biomassa residual da soja
Authors: Pauletti Volnei , Bastos Marília Camotti , Bittencourt Vanessa Coan , Molin Rudimar , Barth Gabriel , da Silva Dimas Agostinho
Published: February 2025

O Brasil se destaca internacionalmente devido a sua grande produção agrícola. Entre os principais cultivos encontra-se a soja (Glycine Max), que no ano de 2022/23 foi responsável pela área colhida de 44.079,8 mil hectares. Devido a sua produção em larga escala no país e internacionalmente, ocorre a geração de expressiva quantidade de biomassa residual da produção de grãos que permanece no campo, e que oferece alto potencial como fonte de energia. O objetivo deste trabalho foi determinar o potencial de uso da biomassa residual de cultivares de soja para produção de energia elétrica bem como a quantidade de nutrientes nesta biomassa. Dentro destas perspectivas implantou-se dois experimentos nas estações experimentais da Fundação ABC nos municípios de Arapoti e Ponta Grossa, estado do Paraná, sul do Brasil. Foram avaliados 10 cultivares de soja (BRS 232, BRS 284, CD 206, NA 5909RG, NK 3363, Roos AvanceRR, TMG 7262RR e V TopRR) em cada experimento. Foram determinadas a produtividade de grãos e de biomassa residual na maturação fisiológica. A determinação do poder calorífico superior (PCS) da biomassa residual foi realizada utilizando-se uma bomba calorimétrica adiabática e a determinação de P, K, Ca, Mg, Cu, Fe, Mn e Zn foi realizada por digestão seca com incineração em forno tipo mufla. Multiplicando-se a biomassa produzida pelo PCS e teor de nutrientes, determinou-se o potencial de geração de energia e de exportação de nutrientes. A biomassa residual da soja das cultivares estudadas possui elevado potencial de geração de energia que pode variar entre cultivares dependendo do local de cultivo. A quantidade de nutrientes na biomassa e consequentemente necessidade de reposição com sua colheita para a produção de energia se encontra na ordem decrescente de K<Ca<Mg<P<Fe<Mn<Cu<Zn.
Application scenario analysis based on CNN algorithm
Authors: Guo Zhaoxu
Published: February 2025

The swift advancement of artificial intelligence technology, facilitated by the rapid progress in science and technology, has significantly enhanced the convenience of our daily lives. As a pivotal model in the realm of deep learning, convolution neural network (CNN) has achieved remarkable feats in various domains such as image recognition, speech recognition, natural language processing, and more. The purpose of this paper is to explore the application of CNN algorithm in different fields, including price prediction, traffic prediction and sentiment text analysis, and summarize its application status, and look forward to the future development trend. While CNN algorithm demonstrates strong performance in these areas, its limitations hinder significant contributions in certain fields. Nevertheless, it is anticipated that with continued advancements in science and technology, CNN algorithm will exhibit commendable performance across diverse domains. This study projects CNN's future development trends and gives an overview of the technology's current application status in a number of sectors, making it a useful resource for relevant applications and research.
Method Development and Validation of Assay of Docusate Sodium in Docusate Sodium Liquid Filled Capsules by HPLC Method
Authors:   Analytical Chemist, Apnar Pharma LLP 10 Lake Drive, East Windsor, New Jersey, USA., Oza Chinmaykumar
Published: February 2025

Although the USP monograph has provided the method for the determination of % Assay of Docusate sodium in Docusate sodium capsules, it could not produce precise and accurate results in the existing laboratory environment. Thus, the method for the Determination of Assay for Docusate Sodium in Soft Gelatin Capsules was developed on high‐performance liquid Chromatographic (HPLC) using Certified Reference Material Pharmaceutical Secondary Standard. A reversed phase chromatographic method was developed with a reversed‐phase column to quantify the potency of docusate sodium from Soft Gelatin liquid filled Capsule 100mg. The method was validated according to ICH Q2R2 guidelines for Specificity, Precision (System precision, Method precision, Intermediate Precision), Linearity and Accuracy.
Lexicographic Approach for Integer Programming Problem under Triangular Neutrosophic Fuzzy Environment and it’s Application
Authors:   Department of Mathematics, Rajalakshmi Engineering College , Rajalakshmi Nagar, Thandalam, Mevalurkuppam, Tamil Nadu 602105, India, Saraswathi Saraswathi ,   Department of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu- 603203, India,   Faculty of Science Ben MSik, University Hassan II, Casablanca, Morocco, A. Saraswathi. , Said Broumi
Published: February 2025

Linear programming is an effective way in mathematical programming for solving optimization problems with linear objectives and linear constraints. There is determinant and indeterminant information in the actual world. As a result, the indeterminate problem is veritable and must be considered in the optimization problem,To handle this situation the neutrosophic theory is formed from extension of fuzzy set theory and is a helpful tool for dealing with inconsistent, indeterminate, and incomplete information.In this paper, we examine the coefficient of single valued triangular neutrosophic numbers to solve the neutrosophic integer programming problem.The neutrosophic integer programming problem are formulated with highest truth membership (T), indeterminancy membership and falsity membership function. The neutrosophic objective function involving a neutrosophic number, and then constructs a neutrosophic integer programming problem technique to handle neutrosophic optimization.In this paper we propose a strategy by using lexicographic approach in fractional dual algorthim to obtaining the basic solution and optimal solution as single valued neutrosophic triangular numbers.To gauge the efficacy of the model we solved few examples.
Kamal Transform for Neutrosophic Initial Value Problem
Authors:   Department of Mathematics, College of Education for Pure Science, University of Babylon, Babil, Iraq, Azal Azal ,   Department of Mathematics, College of Education for Pure Science, University of Babylon, Babil, Iraq,   Department of Mathematics, College of Education for Pure Science, University of Babylon, Babil, Iraq, Hadi Huda A. , Jabbar Sahar M.
Published: February 2025

The manuscript dealt with the problem of the initial value, especially in second-order differential equations with three degrees of Neutrosophic conditions, which are truth, falsity, and indeterminacy. In addition, we exploited the Kamal transformation to solve it.
Solution of Second Order Fuzzy Differential Equations using Sumudu Transform under Neutrosophic Environment
Authors:   Department of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu- 603203, India, K. K. ,   Department of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu- 603203, India, Ganesan K.
Published: February 2025

Fuzzy differential equations (FDEs) are used to represent dynamical systems under uncertain environments. Finding solutions for fuzzy differential equations (FDEs) is highly challenging. This work employs the neutrosophic version of the Sumudu transform method to determine the solution to fuzzy differential equations (FDEs) that incorporate Neutrosophic Numbers (NNs). By utilising a novel fuzzy arithmetic operations on the parametric representations of NNs, significant theorems are established to demonstrate the characteristics of Neutrosophic Sumudu Transform (NST). The proposed NST approach is efficient in approximating the solutions of FDEs without converting them into their crisp equivalent forms. An illustrative numerical example is provided to demonstrate the efficacy of the proposed methodology.
THE USE OF DIGITAL TECHNOLOGIES IN THE ENTERPRISES OF THE TOURISM AND HOSPITALITY INDUSTRY
Authors: E. Ghinayat  , K.K. Nurasheva  , M.Zh. Aimenov
Published: February 2025

Digital technologies in the economy are technical innovations and innovations that make it possible to ensure optimal operation of e-business structures in the modern economy. Digital technologies are also an integral part of the modern economy, because... companies that introduce innovation into their production have a serious advantage over their competitors. Therefore, the article provides examples of the use of digital technologies currently used in tourism and hospitality, including various platforms, artificial intelligence and others. Key innovative changes occurring in the business processes of enterprises in the tourism and hotel industry in connection with digitalization have been identified, a new digital paradigm for the development of tourism and hotel activities and features of their information and communication support have been formulated.
FOREIGN EXPERIENCE IN MANAGING INNOVATIVE DEVELOPMENT OF THE TOURISM INDUSTRY
Authors: А. Baibazarova
Published: February 2025

In the context of global competition, the introduction of innovations for economic sectors is a priority. This is due to the fact that the innovative direction ensures high intensity of economic development. Managing the innovative development of the tourism industry is characterized by a number of difficulties, in particular, problems of resource provision and organizational and managerial nature, the lack of management tools during the implementation of programs and projects for the development of this industry, etc. Although the tourism industry is not one of the priority areas in terms of innovative development, it is the initiator of the introduction of various innovations. However, there is a low level of coordination between government authorities, tourism business, science and the local community. The problem of managing the innovative development of the tourism industry in Kazakhstan is a relevant, but currently insufficiently studied area. Therefore, this research topic requires deep theoretical research and comprehensive analysis, scientifically based methodological and practical recommendations.
Vulgar and Philosophical Systems: Hume on the Continued Existence of Objects
Authors: Zhao Guo
Published: February 2025

This essay examines distinction made by David Hume between the "vulgar system" and the "philosophical system" as explanations for belief in the continued and distinct existence of objects. Via a reconstruction of the arguments by Hume, the essay analyzes how these systems attempt to account for human perceptual experience. The vulgar system conflates perceptions with objects, while the philosophical system posits a double existence of both, yet neither can adequately explain the causal link between them. Furthermore, the study engages with interpretations of readings on Hume by considering the double existence counterargument by Pears and the systematic explanatory hypothesis proposed by Mackie to circumvent the need for naive realism. Finally, the essay evaluates the strength of these criticisms and considers their implications for Hume's overall skeptical position regarding external objects. The skepticism of Hume regarding the possibility of establishing a firm foundation for epistemic belief in external objects remains potent, even in light of these attempts at providing alternative explanations.
Exploring the Path of Female High School Students out of the Predicament of Survival in Rural Poor Areas -- Taking Huaping Women's High School as an Example
Authors: Lin Xiqi
Published: February 2025

The socioeconomic disparities and systemic barriers encountered by female students in rural China have been extensively documented, with multifaceted challenges stemming from historical, geographical, and economic determinants. These factors have resulted in significant educational inequities and limited access to opportunities. In this context, the establishment of Huaping Girls' High School represents a groundbreaking educational intervention, functioning as China's pioneering tuition-free institution exclusively for female students. Through case analysis and literature analysis, this paper takes Huaping Girls' Middle School as an example to explore ways for rural female high school students in poor areas to break through the survival dilemma. In addition, this paper also concludes that the survival predicament of rural female high school students in poor areas is an economic dilemma, social dilemma, health dilemma and educational and cultural dilemma. However, the superficial knowledge learned through these dilemmas is still very simple, so other investigation methods are needed. People can also use case analysis, literature research and questionnaire survey.
Deformation and maximum quadrupole moment for a single neutron star
Authors: Huang Zixuan
Published: February 2025

The emergence of gravitational-wave astronomy has enabled us to unveil events that were previously concealed: compact binary coalescences. Neutron stars have been recognized as significant sources of gravitational radiation, thus triggering a timely exploration of their deformations. Through gravitational waves, scientists are presented with a unique opportunity to study the interiors of neutron stars and deepen the understanding of the equation of state of ultra-dense nuclear matter. In this article, reflects the necessary condition for the generation of gravitational radiation, namely the time-varying quadrupole moment, and calculate the ellipticity resulting from a neutron stars simplistic model. Subsequently, this article examine Ushomirskys research on the maximum quadrupole moment, in which this term does not show any explicit dependence on mass. Finally, the author makes a comparison between simplistic model and Ushomirsky, Haskell, gives a estimation on ellipticity and maximum quadrupole moment, expecting a potential improvement on the model would be incoporating dynamic terms.,such as accretion and star quakes.
Development of Smart Water Management in China: Current Status, Opportunities, and Challenges
Authors: Ma Ronglin
Published: February 2025

This paper analyzes the current status, opportunities, and challenges in the development of smart water management in China. Influenced by multiple factors, the traditional water management model is facing difficulties. Smart water management has emerged as a timely solution. China is in the phase of intelligent development. The development opportunities for smart water management include internal industry demand and benefits, as well as external policy support and technological drivers. However, challenges such as low internal management levels, lack of top-level planning, and difficulties in digital transformation pose significant barriers. To achieve high-quality and sustainable development, smart water management requires the improvement of standards, as well as region-specific planning. This will contribute to the rational use of water resources, effective prevention of water-related disasters, and the stable development of the socio-economic environment and ecological balance.
Optimization of Enterprise Production Processes Based on Multi-Stage Decision-Making Models
Authors: Wang Yiying
Published: February 2025

This paper focuses on issues related to the inspection of spare parts, finished products, and the handling of defective items in enterprise production. Using methods such as sampling inspection and dynamic programming, a multi-stage mathematical model is developed to optimize production decisions. A statistical hypothesis testing scheme is designed for the sampling inspection of spare parts procurement, aiming to determine the optimal sample size. Dynamic programming models are introduced at each stage of the production process to explore the necessity of inspections and the impact of costs under six different scenarios, thereby formulating strategies. A multi-stage production decision model is constructed, treating production as a Markov decision process to solve for the optimal decisions. Considering fluctuations in the defect rate, confidence intervals are calculated using hypothesis testing, and Monte Carlo simulations are employed to generate the defect rate. The expected returns are then recalculated to increase enterprise profits.
Approaches and Frontiers of CRISPR-Cas9 in the treatment of Huntingtons Disease
Authors: Fan Junyi
Published: February 2025

Huntingtons disease is genetic neurodegenerative disorder that usually appears in individuals between the ages of 30 and 50, causing profound impairments in motor function, cognition, and emotional regulation. The underlying etiology of this condition is linked to mutations in the DNA that lead to the abnormal aggregation of the huntingtin protein, ultimately causing neuronal cell death. In the absence of effective treatment options, pertinent research continues to investigate gene editing technology as a potential therapeutic approach. This paper focuses on the application of CRISPR-Cas9 technology, which aims to precisely edit the mutated huntingtin gene, particularly targeting and disrupting the CAG repeat expansion to mitigate neurodegeneration and restore normal gene function. Through the literature review and case analyses, it evaluates the efficacy of CRISPR-Cas9 in mitigating huntingtin protein aggregation and enhancing patient prognosis. Therefore, the results suggest that CRISPR technology holds promise as an innovative therapeutic approach for Huntingtons disease. Nevertheless, challenges such as off-target effects and efficient gene delivery need to be addressed. In short, therapeutic strategies like CRISPR, antisense oligonucleotides (ASOs), and small interfering RNAs (siRNAs) show considerable promise for driving future research advancements.
Production Process Optimization Based on Decision Analysis Model
Authors: Huang Jiajing , Zhou Yan , Si Yunhao
Published: February 2025

For Problem 1, when enterprises purchase spare parts, in order to inspect the defect rate and control costs, a statistical hypothesis testing method is used to model the null hypothesis and alternative hypothesis, and the sample size is calculated. For Problem 2, in production, there are many variables, and enterprises need to optimize processes by making decisions such as whether to inspect spare parts and finished products, and whether to disassemble defective products. A cost-benefit model is established to comprehensively analyze the decision costs and benefits. The goal is to scientifically choose decisions that minimize total costs and maximize benefits, thereby optimizing production processes and improving efficiency.
Enhancing Empirical Asset Pricing Models: A Computational Approach to Cleaning High-Frequency Trading Data Using Outlier Detection Algorithms
Authors: Wang Xiaohan
Published: February 2025

This article discusses the problems and possible solutions for HFT data in empirical asset price models. The Capital Asset Pricing Model (CAPM) and Fama-French three-factor model are validated with high-frequency data before and after cleaning the data using advanced outlier detection methods. It use the compute tools like Isolation Forest, DBSCAN, and RPCA to spot and correct the inaccurate data points that often distort financial models. Models accuracy and robustness were improved dramatically following the data cleaning, with CAPM and Fama-French models receiving an accuracy enhancement of 0.75 to 0.89 and 0.78 to 0.85, respectively. The paper also examines classical data cleaning processes versus computational methods and the efficiency of the latter. The impact for financial modeling and asset management is far-reaching, with a message that better data means better choices and more predictable models. These results provide evidence of the importance of advanced data cleaning in high frequency trading and their ability to enhance decision making in financial markets.
mRNA Vaccines: Structure, Mechanism and Applications
Authors: Ren Xiaoli
Published: February 2025

The present paper focuses on mRNA vaccines. Firstly, it is pointed out that the excellent results of the new mRNA vaccine have led to the active exploration of its application in therapeutic protein expression, and many clinical trials for different diseases have been carried out accordingly. The subsequent discussion delves into the intricacies of mRNA structure and function, meticulously analysing the pivotal roles of its components (5' end cap, UTR, open reading frame, 3' end polyadenylate tail structure) in protein synthesis and immune response. The study further delves into the multifaceted mechanisms through which mRNA vaccines exert their effects on viruses and cancers, offering a comprehensive exploration of this fascinating field. The text goes on to highlight the significant advantages of mRNA vaccines, including safety, ease of mass production, and ease of antigen sequence optimisation. Furthermore, the applications of mRNA vaccines in antiviral, anticancer, autoimmune, allergy, tissue regeneration, anti-aging and other fields are described. In conclusion, mRNA vaccines have a broad application prospect, although some applications are still in the exploratory stage. Nevertheless, they have provided innovative ideas for disease treatment.
The Pathogenesis and Therapy Progress of Esophageal Cancer
Authors: Han Jinchen
Published: February 2025

Esophageal cancer (EC) is a devastating cancer well known for its aggressive nature, limited treatment options, and poor prognosis. It spreads out the world through two of its subtypes, esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC), creating high global incidence and mortality. In recent years, studies and research have been done to explore the molecular mechanisms and multiple treatments. This paper provides a comprehensive overview of EC, going through the risk factors and high-incidence areas of ESCC and EAC respectively; it discusses the molecular mechanisms underlying EC development, highlighting several key signaling pathways, as well as the critical role of some ribosomal protein drivers and biomarkers played in the prediction and development of EC. The paper also aims to determine the central causes of death in EC, metastasis, and its mechanism. Lastly, this review examines and demonstrates the modern therapeutic approaches of EC, especially the combination of immunotherapy with other therapies. By synthesizing recent research and therapeutic developments, this study contributes to the ongoing campaign of EC, laying the foundation for more effective clinical interventions and improved patient outcomes in the future.
Progress in Research and Application of Novel Tumor ICIs
Authors: Si Jiechang
Published: February 2025

ICIs have become a significant therapy in the course of tumors treating, which is particularly effective in relieving T-cell inhibition, activating the ATIR of the immune system. The ICIs represented by PD1 have been widely used in clinics. In this paper, the principle, biological characteristics and clinical application of ICIs in the treatment of cancer are comprehensively discussed. By preventing ICs from attaching to their ligand, which eliminate the immune function inhibition brought on by ICs, thus reactivating immune cells to play anti-tumor role. Currently, a number of ICIs have achieved remarkable results in clinical applications for anti-tumor. For example, inhibitors targeting CTLA-4, PD-1 and PD-L1 have been effectively employed in the therapeutic management of a number of malignant tumors, including non-small cell lung cancer and melanoma. However, the current application of ICIs against tumors is not mature enough. This paper focuses on the existing drawbacks of ICIs (such as their drug toxicity and drug resistance) as well as the in-depth exploration of the application prospects of ICIs. For example, in order to improve the responsiveness to immunotherapy, the clinical use of special antibodies can simultaneously target two different antigens. By acting on two synergistic or complementary signaling pathways, it can effectively enhance the anti-tumor immunity of ICIs and reduce the drug resistance of ICIs. It also provides ideas for the further improvement of ICI therapy.
Punch syndrome and its relationship with Sports Injuries: A Case Study of Muhammed Ali and the Impact of CTE
Authors: Zhang Yinuo
Published: February 2025

The primary goal of the review is to: examine the differences in risk indices among various contact sports, providing a detailed comparison of how these activities expose athletes to varying degrees of physical risk, particularly head trauma; also, this review offers an investigation the symptoms, progression, and long-term effects of chronic traumatic encephalopathy (CTE), with a specific focus on punch syndrome, a subtype of CTE commonly observed in athletes who experience repetitive head injuries; insights into possible strategies and interventions to prevent or reduce the impact of CTE are also represented in the review, including the development of improved protective gear, advancements in medical diagnostics, and the implementation of safer training techniques and regulations; this review will also highlight boxers as a group at the highest risk of developing CTE, given the nature of their sport, which involves frequent and forceful blows to the head. The review seeks to shed light on the unique challenges faced by boxers and emphasize the urgency of addressing this issue to protect their health and well-being.
Review of Housing Price Forecasting Methods Based on Machine Learning and Deep Learning
Authors: Li Chenyu
Published: February 2025

Housing price forecasting holds profound significance in the development, investment, and policy formulation within the real estate market. Precise forecasts not only assist real estate developers in evaluating the potential value of projects but also furnish investors with a scientific basis to optimize their investment decisions. At the same time, home buyers can also gauge the price trend and appreciation potential of properties based on the forecast results. Moreover, governments and financial institutions rely on reliable housing price forecast results to formulate reasonable market supervision policies and control loan risks. This article discusses the status of house price forecasting in society in recent years and the latest research progress in applying machine learning and deep learning. Notably, it zeroes in on the role that the fusion of numerical features, textual descriptions, and image features plays in predicting housing prices. Through a methodical systematic of the existing research, this paper analyzes the characteristics, advantages and disadvantages of different models and their application scenarios. The results show that the fusion of multi-source data can significantly improve the accuracy of model prediction, but it also faces challenges in finding high-quality data and data processing and computing resources. Future studies should further optimize the feature extraction method to enhance the interpretability and adaptability of the model.
Comparative Study of House Valuation Models Based on Traditional and Modern Methods
Authors: Guo Yunxin
Published: February 2025

In the context of the swift advancement of the economy and the hastening pace of urbanization, the real estate market has assumed an increasingly pivotal role within the national economy. This study reviews the current status and trends of house valuation methods, analyzes the advantages and disadvantages of traditional and modern methods, and looks ahead to future research directions. The study found that traditional methods are simple to operate but have significant limitations, while modern methods have advantages in handling complex data and capturing market dynamic changes but also have limitations in explanatory power. Hybrid models combine the advantages of traditional and modern methods, improving prediction accuracy and model interpretability.
The Development Status and Shortcomings of Hydrogen Fuel Vehicles
Authors: Yang Tongshuo
Published: February 2025

As one of the power sources in the new era, new energy fuel cells play an important role in realizing the decarbonization transformation process of transportation. Hydrogen fuel cells have attracted the attention of many countries as a technology with high efficiency, clean, and zero pollution emissions. This paper uses the method of literature review to review the development status of this technology in China, the technical problems, and corresponding measures, including on-board hydrogen storage, long-distance hydrogen transportation, hydrogen refueling stations, and related safety issues. The results show that China has become a global leader in alkaline electrolysis hydrogen production, and hydrogen production technologies such as PEM, SOEC, AEM, and so on are also in the R&D and verification stage. However, at the same time, it is also facing the problems of high transportation costs, imperfect hydrogen storage technology, and an insufficient number of hydrogen refueling stations. Therefore, in the future, more attention should be paid to the development of midstream hydrogen storage and downstream hydrogenation technology.
Application of Digital Signatures in the Field of E-commerce
Authors: Mu Jian
Published: February 2025

As a critical mechanism to ensure e-commerce information security, digital signatures have been widely used in core scenarios such as identity authentication, data integrity verification, and non-repudiation assurance. This paper systematically reviews the technical principles of digital signatures and their practical applications in the field of e-commerce. It further investigates application processes and security characteristics of digital signatures for different application scenarios in centralized and decentralized trust models, such as business-to-customer (B2C) transactions, business-to-business (B2B) transactions, and Bitcoin peer-to-peer (P2P) transactions. At the same time, signature schemes based on classical algorithms such as Rivest-Shamir-Adleman (RSA) and Elliptic Curve Cryptography (ECC), as well as cutting-edge signature technologies based on post-quantum cryptography, are discussed. Finally, combined with future technology trends, this paper looks forward to the innovative directions of digital signatures in lightweight design, privacy protection, and quantization, providing theoretical support and practical reference for the development of digital signatures in the field of e-commerce.
Revolutionizing EVs: A Comprehensive Analysis of Automotive HUD Technologies
Authors: Wu Haotian
Published: February 2025

With the ongoing development of electric vehicles and smart cockpits, HUDs have become critical technology to enhance driving safety and vehicle intelligence. It reduces distractions and improves the user experience by projecting important information such as speed, navigation, and assistance data directly into the operator's field of vision. This paper reviewed the development and current status of automotive HUD technology, focusing on analyzing and comparing 6 typical designs of HUD, including the early C-HUD, the currently popular W-HUD, and the 4 AR-HUD types categorized by single and dual optical path structures. The advantages and disadvantages of each type of HUD as well as the current challenges were pointed out, providing an analysis and comparison of typical designs of different types of HUDs from the perspectives of optical path design and imaging principles, and introduced the advantages, limitations, and current challenges of each type of HUD, as well as potential solutions to these challenges. Finally, potential solutions to these challenges were proposed, providing insights for the future development of smarter and safer HUD technologies.
Passive design optimization of shading devices in temperate climate zone method and case studies
Authors: Hou Qinming , Luo Maohui
Published: February 2025

This study explores the design thinking behind passive design strategies for building performance optimization, such as shading devices, and demonstrates an integrated workflow. A culinary school in Asheville, North Carolina, is used as a case study. The region has a temperate continental climate with warm, humid summers and cold winters with occasional snowfall. Parametric modeling was performed using the Pollination plug-in in Rhino, and energy simulation was performed using DesignBuilder, while daylight analysis was performed using Ladybug. In order to verify the performance of shading devices in this temperate climate, this study simulated and analyzed a variety of shading design schemes to compare their effectiveness in reducing solar heat gain and improving indoor thermal comfort. The simulation results show that the modified recessed window shading device performs better throughout the year than the original design (solar gain 1876.76 kWh, average radiant temperature 24.37C), with solar gain reduced to 1426.34 kWh and the average radiant temperature reduced to 22.61C. In contrast, the horizontal and vertical fixed shade has a solar gain of 1293.59 kWh and an average radiant temperature of 22.31C. shading device is slightly better than the horizontal and vertical fixed shading devices. The building perfor-mance-oriented design process attempted in this study effectively combines design and performance optimization by integrating a parametric tool and energy consumption simulation software, which helps incorporate building energy efficiency improvements into the building design stage while also providing a quantitative basis for the design of shading devices in temperate climates.
The Technical and Administrative Feasibility of Bokashi Composting as a Solution for Food Waste Treatment in a Typical North American Educational Facility Setting
Authors: Guo Zhaojin
Published: February 2025

Food waste is a nationwide problem in the US, leading to environmental concerns. A fermentation-based composting method, the Bokashi compost method, is proposed to mitigate the negative consequences of food waste (FW) disposal in educational facility settings. Bokashi utilizes fermentation to break down large molecular compounds in FW and convert them into compost. It presents several theoretical advantages over the currently widespread landfill methods. This method was subsequently examined for its technical and administrative feasibility and value through experiments and data analysis. Technically, the composting process can break down FW without defects such as odor emission, and produce compost with nutritional value for agricultural use; Administratively, the Bokashi composting method is found to be slightly less economical than the conventional landfill method. A typical high school has the capacity to process the FW generated, and there is a high likelihood of community cooperation. There is significant potential for scaling this model across educational facilities. However, studies on optimizing Bokashi workflow remain pending.
The Analysis of the Development and Improvement of Lithium-Air Batteries
Authors: Lu Zhiyuan
Published: February 2025

Lithium-air batteries have been widely used by academia and industry because of their ultra-high theoretical energy density. The lithium-air battery uses lithium metal as the negative electrode and oxygen in the air as the positive electrode to achieve the conversion of chemical to electric energy. At present, the mainstream lithium-air battery design has four structures, respectively using an all-solid electrolyte, aqueous electrolyte, aprotic electrolyte and a mixed type to achieve ion migration. This paper mainly analyses and discusses the recent research on the performance improvements of the lithium-air battery. This paper finds that the development of lithium batteries is mainly hindered by the problems of catalyst efficiency, battery life and stability, so the focus of research is mainly to develop efficient catalysts, and improve electrode materials and electrolytes. After improvement and optimization, the lithium-air battery has considerable application prospects.
Research on Multi-Objective Optimization Problems Combining Random Forest Method and Genetic Algorithm
Authors: Sun Tongzhe
Published: February 2025

As the complexity of modern engineering and scientific problems continues to increase, Multi-Objective Optimization Problems (MOPs) have been widely applied across various fields. However, traditional optimization algorithms often face challenges such as high computational complexity and slow solving speed when addressing multi-objective problems, especially in high-dimensional and computationally expensive scenarios. To address these issues, this paper proposes a hybrid optimization method that combines Non-dominated Sorting Genetic Algorithm II (NSGA-II) with Random Forest (RF), aimed at improving solving efficiency and optimization accuracy. By introducing the Random Forest model into the search process of the genetic algorithm, the method uses it to predict and quickly evaluate the fitness of individuals, thereby reducing unnecessary computations and significantly enhancing the computational efficiency of the optimization process. Extensive experiments conducted in this study demonstrate the effectiveness and superiority of this method in solving high-dimensional multi-objective optimization problems, especially when computational resources are limited.
Application of a Large Language Model Incorporating Semantic Information of Data in the SQL Generation Task
Authors: Zhang Nianlong
Published: February 2025

In the era of big data, data analysis is crucial to enterprise decision-making, but the traditional SQL query writing poses a challenge for non-professionals. With the rapid development of NLP technology, large language models (LLM) such as BERT and GPT have shown strong capabilities. In this paper, the template filling method is used to study the NI2SQL task in the single table scenario and design query templates containing multiple slot bits. The experimental results show that the constructed model achieves high logical form accuracy (LX) and execution accuracy (EX) in both the validation set and the test set, and improves the fault tolerance through fuzzy matching. In addition, the model also performs well in each sub-task, and the introduction of word and table field similarity (sim) further improves the accuracy of conditional value prediction.
Research on the envelope structure of zero-carbon substation based on BIPV
Authors: Ren Jianwei , Yu Jiahui , Wang Puyan , Zheng Xueyuan , Hu Huifeng , Guan Yunlong
Published: February 2025

In the environment of dual-carbon target, based on the design concept of zero-carbon substation, a kind of photovoltaic integrated prefabricated peripheral wall panel integrating high efficiency and low consumption, energy saving and environmental protection. The enclosed wall board can achieve the goal of zero carbon from three aspects: production, construction and use. In terms of production, recycled concrete is used; prefabricated wall panels are used for construction; in terms of use, prefabricated photovoltaic modules are integrated. On this basis, firstly, the bearing capacity analysis and test verification of the sandwich panel to provide a more comprehensive understanding of the stress performance of the sandwich panel and the wind load standard value to ensure the reliability of the photovoltaic modules, and finally, the integrated prefabricated peripheral wall panels to prove the feasibility of production and construction.
浅析 AI 污染的法律规制
Authors: 金 斌海
Published: February 2025

由于生成式人工智能（AIGC）技术的广泛应用，致使AI生成的大量涉嫌编造、虚假、有害的低质量信息垃圾充斥并堆积于互联网中，形成AI污染现象。其危害包括侵害权利、造成社会失序并引发技术异化。探其成因，从生成端看，AI生成原理天然具有不可解释性，垃圾信息生成无可避免；从传播端看，信息垃圾传播具有低成本性；从积累端看，识别污染信息存在难度，且平台清理动力不足。从当前法律治理模式与现状看看，对AI污染的处置规范散见于多部文件，缺乏针对性与体系性。相关措施存在规定模糊、救济滞后和效力不足的困境。因此为深化AI污染治理，平衡生成式人工智能技术高速发展与风险管控，可从生成端强化立法留痕，统一标识标准，从传播端加强监管与违法打击，细化平台责任，从积累端健全清理机制，扩充举报渠道，成立专门机构。
Circular economy practices in manufacturing SMEs: Investigating stakeholder demands, management views, and the mediating function of circular economy orientation
Authors: Khoa Bui Quoc , Nguyen Hoang-Tien , Anh Dinh Ba Hung , Ngoc Nguyen Minh , Quyet Nguyen Xuan , Lan Tran Thi Ngoc , Toai Nguyen Van
Published: February 2025

This study investigates the dynamics of Circular Economy (CE) practices in Small and Medium-sized Enterprises (SMEs), emphasizing their critical role in promoting sustainability. As we investigate the many implications on SMEs' adoption of CE, we pay special attention to the diverse consequences of internal and external stakeholder pressure. Furthermore, we underline the importance of positive managerial perceptions and offer a new perspective by viewing CE orientation as a mediating force. Our data collection was conducted in three phases using a survey methodology, yielding 196 responses from Estonian SMEs. The findings call into question the notion that stakeholder pressures are consistent, revealing varied influences on CE procedures. Significantly, increased CE orientation emerges as a driving element in improving organisational response to external stakeholder pressure.
This study advances our understanding of the intricate relationships between stakeholder dynamics, managerial perceptions, and CE practices, providing valuable insights essential for SMEs to navigate the path towards sustainable practices. This study presents both theoretical and practical contributions and suggests avenues for future research to further explore the multifaceted nature of the relationships uncovered in this study.