bluuebunny/crossref_metadata_2025 huggingface dataset:
Comment on “The Relationship of Gallstone Disease with Serum RBP4 Level, Vitamin D, Lipid Profile, Insulin Resistance and Uric Acid Levels”
Authors: Doğantekin Betül , Çakır Güney Başak
Published: February 2025

We read with great interest the research article titled “The Relationship of Gallstone Disease with Serum RBP4 Level, Vitamin D, Lipid Profile, Insulin Resistance and Uric Acid Levels” by Kurt İnci et al., published in the second issue of Hitit Journal of Science in 2024 (1). We would like to express our gratitude to the authors and the editorial team for their valuable contributions. Through this letter, we aim to highlight specific elements that we believe will enrich the ongoing discussion around the article.
DESAFIOS E SOLUÇÕES PARA O CAPACITISMO NO AMBIENTE ESCOLAR
Authors: Felipe Azevedo da Silva Vieira  , Inêis de Maria Silva Rodrigues  , Eduardo Johny da Silva Almeida  , Cleverson Mesquita Ferreira  , Gleice Kézia de Oliveira da Silva  , Manoel Gustavo Marques Santana  , Ana Carolayne Silva Carneiro  , Lucas Costa dos Santos  , Jacinto Lima Farias  , Ricardo de Oliveira Tavares
Published: February 2025

O capacitismo é uma forma de discriminação baseada na crença de que a habilidade física ou mental de um indivíduo determina seu valor e sua capacidade de contribuir com a sociedade. Este trabalho consiste em investigar e analisar o capacitismo na comunidade escolar. A pesquisa foi realizada na Escola Estadual de Educação Profissional (EEEP) Professora Lysia Pimentel Gomes Sampaio Sales, em Sobral, Ceará. A análise foi realizada por meio da aplicação de um questionário pelo Google Forms. As perguntas foram organizadas em três grupos: percepção do capacitismo, experiências pessoais vivenciadas e atitudes em relação às pessoas com deficiências. A amostra foi composta por 19 membros da comunidade escolar, incluindo estudantes do 3º ano, professores e núcleo gestor. Os resultados indicaram um nível razoável de conscientização sobre o capacitismo, com a maioria afirmando já ter ouvido falar sobre o tema. No entanto, ainda há uma parcela significativa que não está familiarizada com o conceito, ressaltando a necessidade contínua de educação e sensibilização. As respostas revelaram uma compreensão ampla do termo "capacitismo" como uma forma de exclusão, preconceito e discriminação contra PCDs. Também foi observado que mais da metade dos participantes presenciou situações de discriminação ou preconceito contra PCDs na escola. Esses resultados destacam a importância de promover uma cultura escolar mais inclusiva e igualitária, por meio de políticas e práticas que assegurem a acessibilidade física e cognitiva, o desenvolvimento de currículos e materiais didáticos acessíveis, além da promoção de uma cultura de respeito, empatia e inclusão em todo o ambiente escolar.
Khushwant Singh’s Journalistic Career and Political Vision: Navigating Religion, Identity, and Nationalism through His Writings
Authors: Sami Jamal
Published: February 2025

Khushwant Singh, one of the most widely read post-colonial writers in English, is celebrated for his multifaceted career as a distinguished journalist, adept historical novelist, influential columnist, political commentator, and social critic. His influence spans both contemporary Indian literature and journalism, having held key editorial roles at notable publications such as The Illustrated Weekly of India, The National Herald, and The Hindustan Times. Known for his wit and humour, Singh’s writing continues to resonate with readers today. With a prolific body of work that includes over a hundred books—ranging from fiction and non-fiction to historical novels, short stories, and joke collections—his legacy is firmly established. At the age of 98, he published Khushwantnama: The Lessons of My Life. This article aims to explore his journalistic career and political vision, providing a brief look at his most influential works.
The Voice of the Bridegroom in John 3:29 and in the Context of Jewish and Christian Literature
Authors: Blumhofer Christopher
Published: February 2025

This article examines John the Baptist’s reference to “the voice of the bridegroom” in John 3:29. The primary context in which this expression should be heard is that of the Old Testament expectation that the time of eschatological redemption will be marked by the renewed sound of “the voice of the bride and the voice of the bridegroom” within Israel (Jer 33:11). Interpretations that emphasize sociocultural or spiritual understandings of this phrase should be considered secondary to this primary frame of reference. The intertextual interpretation links the text to the broader narrative tendencies of the Fourth Gospel, to late first-century Judaism, and to Jewish liturgy from late antiquity to the modern period.
Double Names in the Documentary Papyri and in Paul: Some Legal Considerations on the Agreement in Jerusalem
Authors: Popa Romeo
Published: February 2025

Paul’s report on the conference in Jerusalem will be addressed primarily with respect to the legal features of some important terms employed as reflected in the documentary papyri. Paul presents the discussions as a process of common truth- and identity-formation with a binding agreement at the end. The Greek name Πέτρος exceptionally appears twice in the core part of this arrangement, in which the mission areas are defined. The widespread practice of people with double names to use in legal documents the “official” Greek name rather than the native name provides the necessary documentary background for a critical examination of some previous hypotheses on this debated topic and for the proposal of a new solution to the problem. This approach is not compilatory, as it is often the case when dealing with documentary papyri applied to New Testament texts, but heuristic, with the purpose of elaborating new exegetical insights in old controversies.
Introducing a Trauma-Informed Matrix: A Resource for Academics to Support Criminal Law and Criminology Students
Authors: Burton Kelley , Rayment-McHugh Susan , Sharp Alexandra
Published: February 2025

Students are distressed, student wellbeing services are overwhelmed, and the need for criminal law and criminology academics to access trauma-informed training and tools has never been more urgent. This paper presents a trauma-informed matrix, developed as an easy-reference guide to trauma-informed teaching practice. The matrix combines five trauma-informed principles and three elements of teaching and learning, to produce a 15-cell matrix of trauma-informed teaching practices. To illustrate application of the matrix, the first and second co-authors independently applied the trauma-informed matrix to one of their courses, which forms the basis for the two-case studies presented in this paper. Both courses have sensitive course content, including a Priestley 11 criminal law and procedure course and an applied criminology course. These reflections on our teaching practices and courses were subsequently integrated to highlight shared and unique design and teaching considerations. The two case studies unpack the trauma-informed practices used, identify opportunities for improvement, and demonstrate how academics can apply the matrix to their courses to enhance trauma-informed practice.
ESTRATÉGIA DE PREVENÇÃO DO CÂNCER CERVICAL NA REDE PÚBLICA DE SAÚDE
Authors: De Jesus Oliveira Jéssica , Dos Santos Santa Izabel Tasciano
Published: February 2025

Introdução: Este estudo revisa estratégias de prevenção do câncer cervical na Rede Pública de Saúde do Brasil, destacando avanços, desafios e a importância da educação em saúde, especialmente no Nordeste. Avalia o Papanicolau, a vacinação contra HPV e o teste molecular DNA-HPV, e discute a necessidade de fortalecer políticas públicas para garantir acesso equitativo. Objetivo: Analisar, por meio de uma revisão integrativa de literatura, as estratégias de prevenção primária e secundária do câncer cervical, com foco no exame Papanicolau, no novo teste molecular DNA-HPV e na eficácia da vacinação contra HPV. Metodologia: Estudo descritivo e qualitativo com revisão integrativa da literatura. Levantamento bibliográfico realizado em BVS, PUBMED, SCIELO, Google Acadêmico e ScienceDirect. Foram selecionados artigos dos últimos dez anos que abordassem diretamente estratégias de prevenção e detecção precoce na Rede Pública de Saúde. Resultados: A busca inicial resultou em 42 artigos, dos quais 27 foram analisados após a exclusão de 15 que não atendiam ao objetivo do estudo e, adicionalmente, 7 foram excluídos por não fornecerem informações específicas sobre a eficácia ou a implementação de estratégias de prevenção do câncer cervical, restando 20 artigos. Conclusão: Apesar dos avanços na prevenção do câncer cervical, é necessário fortalecer políticas públicas e a educação em saúde para garantir acesso equitativo, especialmente em regiões vulneráveis. A integração do teste molecular de DNA-HPV com a vacinação contra o HPV, incluindo a nova dose única, representa avanços significativos na luta contra o câncer cervical.Palavras-chave: Câncer Cervical, DNA-HPV, Vacinação HPV, Saúde da Mulher
ALTERAÇÕES LABORATORIAIS INDUZIDAS POR FÁRMACOS, COM ÊNFASE AOS PRINCIPAIS MARCADORES BIOQUÍMICOS DO PERFIL RENAL E HEPÁTICO: UMA REVISÃO DA LITERATURA
Authors: De Jesus Araújo Geisarela , Oliveira Lima Felicson Leonardo
Published: February 2025

Tem-se os medicamentos, como produtos resultantes dos avanços biotecnológicos, com propósitos curativos, profiláticos, preventivos e diagnósticos. Com a prática da polifarmácia, se torna mais suscetível a ocorrência de interações medicamentosas nos exames laboratoriais, os quais podem culminar em alterações em vários marcadores bioquímicos. Com isso, este trabalho teve como objetivo, descrever as principais alterações laboratoriais observadas nos exames bioquímicos, especificamente do perfil renal e hepático. Foi realizado uma revisão de literatura descritiva, com abordagem qualitativa, mediante buscas nas bases de dados PubMed e Scielo, utilizando um recorte temporal de 2013 a 2023. Após a aplicação dos critérios de inclusão e exclusão, foram utilizados 35 artigos para a construção deste trabalho. Entre as classes de medicamentos que possuem uma maior probabilidade de causar danos hepáticos, estão os antibióticos, antineoplásicos, antiepilépticos, anti-inflamatórios não esteroidais e os antituberculosos, causando alterações em uma variedade de marcadores hepáticos. As classes medicamentosas mais relevantes para nefrotoxicidade, são antibióticos, agentes antivirais, agentes anti-inflamatórios não esteroidais e quimioterápico, resultando em alterações nos marcadores renais. Em suma, após análise dos materiais utilizados para a construção do presente artigo, observou-se a recorrência de alterações que os medicamentos podem empregar nos testes de avaliação das funções renais e hepáticas.
POLÍTICAS EDUCACIONAIS E SOCIOEDUCATIVAS: O DIREITO À EDUCAÇÃO PARA ADOLESCENTES PRIVADOS DE LIBERDADE NO ESTADO DO PARANÁ
Authors: Cossetin Márcia , Dolla Margarete Chimiloski , Freire Mariza Scheffer , Figueiredo Ireni Marilene Zago
Published: February 2025

Neste artigo, temos como objetivo discutir e problematizar o direito à educação dos adolescentes privados de liberdade atendidos nos sistemas de socioeducação, evidenciando desde os pressupostos constitucionais até a definição educacional que se propõe pelo Programa de Educação nas Unidades Socioeducativas (Proeduse), com especificações para o estado do Paraná. A escolarização desses adolescentes segue o mesmo modelo adotado pelas escolas que oferecem a modalidade de Educação de Jovens e Adultos (EJA) nas comunidades externas às unidades socioeducativas. Por meio de pesquisa documental, bibliográfica, da empiria proveniente da prática na Socioeducação e com abordagem qualitativa e fundamentada no materialismo histórico-dialético, analisamos as condições históricas com que se constrói o direito à educação em tais espaços. Logo, por meio da análise e considerando-se as particularidades dos adolescentes atendidos pela socioeducação, bem como o contexto de privação de liberdade, ressaltamos a importância de uma abordagem educacional fundamentada contextualmente e que assegure o direito social à educação, abrangendo não apenas o acesso, mas a permanência desses sujeitos no processo de escolarização formal de modo adequado às suas especificidades. Concluímos que, embora existam avanços legais significativos, ainda é necessário fortalecer as políticas públicas para possibilitar que tais sujeitos tenham, na educação, um instrumento de retomada de direitos e formação humana.
Estresse em cirurgiões causado pela pandemia decovid-19
Authors: Silva Lo-Amy David de Oliveira , Ribeiro Antônio Anderson Lucena , Souza Isadora Borba de , Souza Júnior Sebastião Olacy de , Barbosa Thiago Moreth da Silva , Silva Lunara Fernandes , Oliveira Jadiane de França , Lima Hugo Henrique Leonel de Paiva , Pereira Rafael Douglas da Silva , Moraes Hryan Nóbrega , Carvalho Daniel Victor Barbosa , Rolim Ana Bella de Morais , Sousa Ana Beatriz Queiroga de , Souza Júlia Barbosa de , Bezerra Anuska Erika Pereira , Costa Hamilton Belo de França
Published: February 2025

Introdução: A pandemia de COVID-19 impôs desafios sem precedentes aos cirurgiões, afetando tanto sua saúde mental quanto suas práticas profissionais. A crise resultou em aumento significativo do estresse, com sobrecarga de trabalho, falta de Equipamentos de Proteção Individual (EPI) e o medo constante de infecção, fatores que exacerbaram quadros de burnout, ansiedade e depressão. Objetivo: explorar os impactos do estresse sobre os cirurgiões durante a pandemia da COVID-19, com uma análise abrangente das consequências para a prática profissional e para a saúde mental desses profissionais. Metodologia: Foram levantados artigos em inglês e espanhol. A busca realizada nas plataformas PubMed e  Scielo utilizou as seguintes descritores: COVID-19 OR Coronavirus Infections AND General Surgery OR Surgeons AND Occupational Stress OR Burnout, Professional OR Mental Health. Resultados e discussão:a pandemia de COVID-19 trouxe à tona a necessidade urgente de repensar as políticas de saúde voltadas aos profissionais da área cirúrgica. Investir em suporte psicológico, condições de trabalho adequadas e protocolos claros para crises futuras é fundamental para garantir a sustentabilidade do sistema de saúde e a segurança dos pacientes. Conclusão: Os cirurgiões enfrentaram impactos psicológicos e ocupacionais severos durante a pandemia de COVID-19, como burnout, ansiedade e medo do contágio, exacerbados pela escassez de EPIs, sobrecarga de trabalho e isolamento social. Residentes e cirurgiões jovens foram os mais afetados, e a pandemia expôs falhas no sistema de saúde, como falta de suporte institucional e condições de trabalho precárias.
Statistical Learning Theory and Algorithm Optimization for High Dimensional Data
Authors: Yang Shutong
Published: February 2025

The goal of this study is to deeply study the theoretical foundation and algorithm improvement technology of high-dimensional data statistical learning in order to meet the challenges of high-dimensional data in contemporary science, engineering, economics and other fields. Firstly, this paper expounds the universality of high-dimensional data and the limitations of traditional statistical learning methods in dealing with such data, and emphasizes the importance and practical application value of studying the statistical learning theory and algorithm optimization of high-dimensional data. Then the basic theory of statistical learning of high-dimensional data is comprehensively reviewed, including the characteristics and challenges of high-dimensional data, the basic concepts of statistical learning theory and statistical learning methods suitable for high-dimensional data. Based on the above, a series of algorithm optimization strategies for high-dimensional data processing are proposed, including feature selection and dimension reduction technology, parallel and distributed computing technology, and the effectiveness of these strategies is verified by empirical research. The research results show that the proposed algorithm optimization technology significantly improves the accuracy, stability and computational efficiency of high-dimensional data processing.
Analysis of the Principle of Gravitational Wave Searching and Future Applications
Authors: Gu Yifan
Published: February 2025

When thinking about waves, mankind will first come up with ripples of water. Similarly, gravitational waves are also ripples, but they are ripples of spacetime. Waves of water are generated due to an object dropping into the water. Likewise, gravitational waves are generated due to massive objects in space. The concept of it was announced by Einstein, which was then observed in 2015 by the LIGO collaboration, which opened up a whole new chapter of observational astronomy. Since that remarkable detection, study of gravitational waves has become incredibly important when conducting research in black hole and neutron star mergers, as well as other cosmic phenomena. By detecting gravitational waves, scientists can have a better understanding of the nature of gravity, and they can better investigate behaviors of matter under certain conditions. However, Current detectors, such as LIGO and Virgo, cannot perfectly detect and observe waves due to their sensitivity and low frequency range. Future upgrades of equipment, including next-generation detectors like the Einstein Telescope and the space-based LISA, may help detect weaker and further gravitational waves, with a larger frequency range. As gravitational wave astronomy continues to make progress, one can expect more advanced knowledge and findings of the universe, gravity, spacetime, and the most powerful events that occur in the cosmos.
Analysis of the State-of-art Planet Searching Results: Evidence from Radial Velocity, Relativistic Beaming and Polarimetry
Authors: Zhu Xilai
Published: February 2025

The present research describes some of the newest techniques being used in exoplanetary detection, with a focus on radial velocity, (RV), relativistic beaming, (RB), and polarimetry. In light of worsening environmental conditions due to global warming, and an increased need for assessing the habitability of Earth, the investigation into plausibly habitable planets has become a priority area for modern scientific investigations. Over the last several decades, improvement in observational methodologies has turned the detection of exoplanets from a theoretical speculation into an objectively viable scientific domain. Empirical discoveries have extended the catalog of planetary diversity by showing a variety of worlds with diverse characteristics. Each technique discussed in this paper provides aggregate information on the detection, measurement, and characterization of distant planets by their properties, including their mass, orbit, atmospheric properties, and possible habitability. This research combines these approaches to underline their respective strengths and importance in investigating crucial questions related to the possibility of life beyond Earth.
Group Methods for Molecular Vibrational Spectra
Authors: Zhang Xuanjia
Published: February 2025

This article explores the application of group theory to molecular vibrational spectra, a key area of study in physics and chemistry, focusing on retro of early derivations understanding how group theoretical methods can simplify the analysis of molecular vibrations and the corresponding spectroscopic selection rules. It then investigates the use of point group and factor group representations to describe the symmetry properties of molecules and their normal modes of vibration. The methods employed include mathematical formulations based on group theory, such as symmetry operations, representation theory, and reduced coordinates. The results demonstrate that group theory effectively reduces the computational complexity of analysing molecular vibrational spectra, clarifying the degeneracy in normal modes and facilitating the interpretation of infrared and Raman spectra. This study provides a fundamental framework that could be expanded with advanced computational tools and experimental techniques, contributing to deeper insights into molecular dynamics and the development of new theoretical models in vibrational spectroscopy.
Theory and Applications of Orbits and Stabilizer in Group Action
Authors: Jin Haoran
Published: February 2025

The algebraic system of groups has become the focus of modern algebra courses because it is an important tool for studying symmetry problems. However, it is difficult for students to understand groups because it is difficult for them to understand how it can be used as a tool to study symmetry problems. In this article, the author presents a series of proofs, importance, and examples of the definition of orbits and stabilizer, the proof of useful claim, and the definition of orbits and stabilizer as an important part of swarm action. The characteristics of its derivative theorem orbits-stabilizers theorem are analyzed. Besides, the article also includes the application of Orbits-Stabilizer theorem to the Cauchy's Theorem, Lagrange's Theorem and Burnside's Lemma theorem by giving several definition, examples, and proof. Finally, this paper not only reviews the previous understanding and summary of the role of groups, but also contains the author's prospects for orbits and stabilizers in other fields.
Simulation the interaction range of Alpha and 7Li particle in human tissues on BNCT therapy
Authors: He Yuyuan
Published: February 2025

This paper examines the function of particle therapy, a novel form of radiation therapy (RT) that has gained popularity and quick advancement in recent years, in interdisciplinary care. Proton beam therapy (PBT), carbon-ion beam therapy (CIBT), and boron neutron capture therapy (BNCT) are the three particle therapies that are currently used to treat cancer. One special feature of boron neutron capture therapy (BNCT) is its ability to selectively irradiate tumor cells with heavy particles. Even when cancer and normal cells are mixed together at the tumor edge, BNCT can still create significant dose gradients between the two types of cells. This characteristic allows pre-irradiated locally recurrent cancers to be treated with BNCT. It is yet unclear, though, whether thermal neutron irradiation of the region will cause the two heavy particles that result from the BNCT reaction to target the malignant cells more specifically. This paper's second section describes the simulation that SRIM utilized to determine the interaction range between two heavy particles, alpha and 7Li particles, in human tissues during BNCT treatment. Based on this simulation, we discovered that the energy generated by BNCT therapy can be largely absorbed by the pathogen, leading to successful treatment outcomes and avoiding harm to other healthy tissues in the human body. This effectively shows that BNCT therapy is stable and feasible.
Research on the Applications of AICAR in Clinical Medicine and Anti-Doping
Authors: Fan Jingyi , Xiang Xiaomeng , Wang Yirang , Liu Bing
Published: February 2025

Objectives: The objective of this review is to examine the role of AICAR as an AMP-activated protein kinase (AMPK) activator and its potential applications in clinical conditions, as well as its significance in anti-doping research. Methods: This review analyzes the current literature on AICAR, focusing on its mechanisms of action as a cell-permeable AMPK activator and its impact on cellular energy homeostasis. Furthermore, it explores the extensive research regarding AICAR's potential applications in cardiovascular diseases, diabetes, organ transplantation, neurodegenerative diseases, and cancer, as well as its implications for athletic performance and muscle glucose uptake. Results: AICAR has emerged as a crucial regulator of cellular energy homeostasis through its activation of AMPK, with implications for various clinical conditions. Additionally, its potential to enhance athletic performance and stimulate muscle glucose uptake has garnered considerable attention in the realm of anti-doping research. Conclusions: This review highlights the multifaceted potential of AICAR in clinical applications and anti-doping research, emphasizing its role as an AMPK activator and its impact on cellular energy homeostasis. The findings underscore the significance of ongoing research and development of AICAR in medicine and anti-doping efforts.
Concepts, Proof, and Applications of Lagrange’s Theorem
Authors: Qiao Yemei
Published: February 2025

The theory of groups and their representation, as a branch of mathematics, is a powerful tool for dealing with physical systems with certain symmetries. By using group theory method, many properties of the system can be directly understood qualitatively, complex calculations can be simplified, and the development trend of physical processes can be predicted. Lagrange’s theorem is a principle in Group Theory which is seen as the expansion of Euler’s theorem in number theory. It is considered an important concept to prove further complex theories in Group Theory. This study reviews these definitions and characteristics of subgroups and cosets, and then provides proofs for them. The main goal of the paper is demonstrating Lagrange’s Theorem that states that every quadratic irrationality has a periodic continued fraction. The structure of a Dirichlet group emerges from these properties of the unit group in an ordered environment. Additionally, the author shows how to use Gauss's reduction to calculate n-th roots of two-dimensional matrices method. Finally, the author will provide evidence for solutions to Lagrange’s Theorem.
The Properties of Green's Function and Variation of Constants in Damped Oscillations Using Numerical Approach
Authors: Zhang Zhiyuan
Published: February 2025

Contemporarily, Green function is considered as a basic mathematical formular in various applications in advanced physics. On this basis, this study analyzes the efficacy and precision of Green's Function as well as the Variation of Constants (VoC) techniques in addressing damped oscillation issues, particularly in systems affected by an impulsive external force, exemplified by a Dirac delta function. To be specific, the analysis examines the duration necessary for a damped oscillator to be deemed at rest, contrasting the efficacy of Green's Function and VoC in forecasting critical moments and addressing numerical difficulties spanning underdamped, overdamped, and severely damped conditions. According to the analysis, numerical simulations were performed based on Python to evaluate the convergence, stability, and computational efficiency of each method. The results highlight the comparative advantages as well as disadvantages of each method, providing important insights for applications in oscillatory systems where accurate and prompt response predictions are critical.
Research On Oracle Image Segmentation and Recognition Based on LBP And R-CNN
Authors: Ma Yuxiang , Zhu Suhang , Liao Jiaxu
Published: February 2025

With the development of today's science and technology, we are constantly exploring the application of computer algorithms and other technologies in the study of oracle bones. In this paper, for the original carrier image of oracle bone, first filtering and denoising to reduce or attenuate the many interference factors in the original topographic image of the oracle bone, and then the local binary mode of feature extraction on the three images to realize the feature enhancement of the image, and then use the support vector machine to optimally classify the image features, so as to achieve the accurate identification of the interference factors, and finally through the feature confusion matrix to prove the accuracy of the oracle bone. After completing the noise processing and classification of the image, the R-CNN algorithm is used to combine deep learning and target detection, iteratively learning the training set and validation set, and automatically adjusting the parameters until the optimal model is derived to realize image segmentation and recognition.
A Partial Functional Gaussian Process Regression Model Based on Additive Structure
Authors: Shen Zunming , Wang Yijie , Cui Bowei
Published: February 2025

A partially functional linear model is a widely studied and used method whose response variables are related to both vector-valued and functional predictors. However, due to the constraints of linear structure, the model lacks some flexibility. Based on this, this paper proposes a partial functional Gaussian process regression model. On the one hand, the proposed method uses truncation rule to approximate the functional predictors. Then, the different predictors are mapped into a unified regenerated kernel Hilbert space (RKHS) for modeling using kernel techniques. By assigning a priori of additive structure to the Gaussian process and orthogonalizing the kernel function, this paper uses Sobol index to measure the importance of each prediction component's influence on the prediction of response variables. In addition to quantifying the uncertainty of predictions, the proposed method enables joint modeling of non-Euclidean predictors and response variables by selecting appropriate kernels for non-Euclidean spaces. Both simulation studies and empirical data analyses demonstrate that the proposed approach exhibits strong competitiveness compared to several classical predictive methods.
Research on the Influence of Family Environment on Mental Health of Junior High School Students
Authors: Zhong Yixuan
Published: February 2025

Under the catalyst of fierce competition in society, more and more teenagers have serious psychological problems. In the case that the pressure brought by school is difficult to avoid, exploring what causes the psychological problems of teenagers in the family, and trying to find a solution from it has become a topic that needs further exploration. Based on the data of the 2013-2014 school year of China Education Panel Survey, this paper uses regression models to select seventh and ninth grade students as representative research objects to judge the impact of family environment on students' mental health. The results show that for the objective conditions of the family, the students with better family economic conditions and parents' education level are less likely to have psychological problems. The only child is more likely to have depression, anxiety and other emotions than the non-only child. Furthermore, the subjective conditions of the family have a more severe psychological impact on junior middle school students, which is mainly manifested in that the harmony among family members can greatly promote the development of junior middle school students' mental health. According to the results, this study suggests that parents should try to improve the objective conditions at home, and more importantly, maintain the parent-child relationship and family atmosphere will greatly benefit the mental health growth of junior high school students.
Optimization Of Multi-Objective Crop Planting Strategies Based on Genetic Algorithms
Authors: Fang Qitong
Published: February 2025

In order to prioritize agriculture and rural development, and to place rural revitalization in an important position, optimizing crop planting strategies in rural areas has become an important research issue in agriculture. In this paper, by integrating and analyzing the given crop data and field information, and by meeting the conditions of crop rotation, avoiding repeated planting, convenient tillage and field management required by the title, a practical mathematical model was established by combining genetic algorithms. Then, a corresponding program was written using MATLAB software. The model was solved, and the optimal planting strategy that can maximize the planting benefits in the future 2024-2030 was obtained, as well as the related data analysis table. This study not only provides a better solution to the problem of scarce farmland in rural areas, but also broadens the practical application scope of genetic algorithms and provides more thinking and possibilities for solving other problems.
Design of erbium-doped fiber laser in the 1550-1600 nm band
Authors: Hou Chenghao
Published: February 2025

With the rapid development of the information industry, science and technology’s demand for computer algorithms, demand for industrial production accuracy and demand for factors such as information transmission speed are increasing. Simple optical instruments can no longer meet the requirements. At this time, fiber lasers have emerged. born. Therefore, the research direction of this article follows the trend of the times and explores the design and physical simulation of erbium-doped fiber lasers. The research method of this article is as follows. Through physical simulation of the working process of the fiber laser combined with data calculation, the corresponding equations such as the fiber laser energy level transition rate equation, the power propagation equation, the pump power threshold equation, and the fiber laser output power equation are simultaneously evaluated, after completing the formula and its data, use drawing programming software to program and input the equation program, define the relevant variables, and run to find the relationship between pump power and laser power, and obtain the power change trend of pump power and signal light power as the fiber position length changes. with specific data. Finally, it can be obtained that the pump light power has a positive correlation with the laser power outside the pump threshold, and the pump light can be maximized when the fiber length is around 7m. As a result of this research, the theoretical data of erbium-doped fiber lasers have been improved and can be used in future fiber laser applications.
Lung Cancer Prediction using Machine Learning Methods
Authors: He Qijun
Published: February 2025

Lung cancer, being a major global health issue, requires not only effective treatments but also robust predictive methods to enable early diagnosis and preventive measures. Detecting the disease at an early stage increases survival chances and reduces the necessity for aggressive treatments with harsh side effects. This paper seeks to contribute to the ongoing research by utilizing machine learning techniques to analyze a variety of factors that influence the severity of lung cancer, such as smoking habits, air pollution exposure, genetic predispositions, and lifestyle choices. By leveraging the lung cancer dataset sourced from Kaggle, this study aims to develop predictive models that can help identify individuals at high risk for lung cancer. These models could be utilized by healthcare professionals to provide early interventions, ultimately improving patient outcomes and reducing the burden of late-stage diagnoses. Through the application of data-driven insights, this research hopes to highlight key risk factors and demonstrate the value of integrating machine learning into the early detection and prevention of lung cancer.
Research On Optimal Water Level of Great Lakes Based on Dynamic Optimization Model and PID Control Algorithm
Authors: Guo Junchen , Xu Guangtian , Li Mingyuan
Published: February 2025

This study aims to determine the optimal water levels of the Great Lakes by analyzing historical data from 2012 to 2022, including water levels of the lakes and flow rates of the rivers connecting them, to identify underlying trends. A multi-objective optimization model is developed, which holistically accounts for the welfare of local ecological, economic, and social stakeholders. By applying a genetic algorithm, the model calculates the optimal water levels for different times of the year. Furthermore, a dynamic relationship among the Great Lakes is modeled using differential equations, and a PID control algorithm is implemented to manage the optimal water levels under natural conditions. Compared with traditional algorithm, this approach not only enhances the precision of water level predictions but also introduces an adaptive control system that responds to real-time data. The integration of these methods allows for a more nuanced management of water levels, catering to the fluctuating demands of ecological, economic, and social stakeholders. A subsequent sensitivity analysis reveals that the proposed control algorithm demonstrates a high sensitivity to varying natural conditions and yields water levels more favorable than the actual recorded levels from the perspective of most stakeholders.
Preface: 2024 International Conference on Computer Modeling and Algorithm Analysis (CMAA 2024)
Authors: Boyle Madge , Li Bo
Published: February 2025

The 2024 International Conference on Computer Modeling and Algorithm Analysis (CMAA 2024) was successfully held during November 23-24, 2024, in Brisbane, Australia. CMAA 2024 brought together innovative scholars and experts in the fields of computer modeling, algorithm analysis, mathematical modeling, machine learning, big data, and artificial intelligence to a common forum. Each participant had 15-20 minutes to present his research. After that, 5-10 minutes were allotted for questions and discussion. Both the participants and the organizers of the conference were satisfied with this event.
We would like to express our sincere gratitude to all the members of the scientific committee for their enthusiasm and expertise. Our deep thanks also go to many volunteers and staffs for their hard work they have generously given to CMAA 2024. Finally, we would like to thank all the authors, speakers, reviewers and participants for their great contributions.
With best regards,
CMAA 2024 Organizing Committees
Brisbane, Australia
Research on Minimizing PCI Interference Based on Intelligent Optimization Algorithms
Authors: Yu Shanshan , Liu Yizheng , Lin Shuiyun , Ma Chengyi
Published: February 2025

This study focuses on optimizing the allocation of Physical Cell Identities (PCIs) in wireless communication networks to minimize Measurement Report (MR) conflicts, confusion, and mod-3 interference. Starting with a raw dataset containing conflicting and confusing MR data, as well as mod-3 interference, the dataset is cleaned and refined to retain 2,890 communities with MR-related data. A model is then developed to allocate PCIs to 2,067 core communities, aiming to minimize the total MR conflicts, confusion, and mod-3 interference. The problem is formulated as an integer linear programming (ILP) model, where the decision variable indicates whether a specific PCI is assigned to a community. The objective function minimizes the sum of MR conflicts, confusion, and mod-3 interference, subject to constraints such as unique PCI allocation and mod-3 interference conditions. To solve the problem, two optimization techniques are explored: the Monte Carlo method and simulated annealing. While the Monte Carlo method was less effective due to the complexity of the relationships between variables, the simulated annealing algorithm provided better results for PCI reallocation. This study demonstrates an effective approach for PCI allocation and highlights the benefits of using simulated annealing for complex network optimization.
Introduction of Group Action and Examples of the Action
Authors: Liu Yuanzhe
Published: February 2025

The purpose of the essay is to provide a comprehensive understanding of key concepts in group theory, specifically focusing on group actions, orbits, and stabilizers. These important elements play a vital part in studying of algebraic structures and their symmetries. The author will begin by defining these concepts, explaining their significance, and illustrating them with practical examples. The discussion will include detailed definitions and explanations to build a solid foundation. In addition to these core concepts, the essay will introduce Sylow’s Theorems and Burnside’s Lemma. The author will explore how Sylow’s Theorems helps the number and structure of subgroups within a finite group, and how Burnside’s Lemma is used to count distinct objects under group actions. Through examples and detailed discussions, the author will demonstrate the practical applications of these theorems. Finally, readers are going to have a clear comprehension of how these mathematical tools are applied to solve problems and analyze group structures effectively. This works underscores the importance of group action in modern science.
Research on the Relationship between the Glide and Aspect Ratio
Authors: Jin Yanchen , Yao Yiqi
Published: February 2025

Global warming along with other environmental issues like El Niño has radically reconfigured the biosphere mainly because of the increasing carbon footprint human beings have made up. The whole aviation industry shares the responsibility as manufacturers compete on the innovation of better aerodynamic shape of airplanes, application of a new type of sustainable fuel for decarbonization, and development of highly fuel-efficient turbofan engines. The objective of this study is to analyse glider airfoils with the now worldwide application, identify parameters affecting the glide ratio as well as coefficients, and initiate a discussion about the experiment that had been carried out with limited conditions of the circumstances. The glider model analytical data calculation is offered in this research, following the comparison of measurements of aspect ratio and glide ratio with other parameters provided. Theoretical evaluation utilising the results of measurements validates the statistical and analytical trends in gliding data, which clearly indicate a relationship between glide ratio increase and aspect ratio increase at a constant taper ratio. An aspect ratio increase was suggested as a viable way to increase aircraft gliding ability based on the results of the performed analysis, although it would come with a higher drag coefficient.
Identifying Seasonal Coherence in Global Lake Surface Water Temperature
Authors: Sun Boyang
Published: February 2025

This project examines seasonal water temperature patterns in thirty large lakes worldwide from 2003 to 2012. Analyzing and identifying seasonal patterns can help understand lake water temperature changes better and predict future trends. The seasonal pattern of different lakes is decomposed by a generalized additive model (GAM) and Seasonal and Trend decomposition using Loess (STL), and 30 lakes are clustered and classified according to the results, which shows that different lakes have the same seasonal pattern of water temperature. The reason for the classification is explained using latitude, longitude, and elevation. This study contributes to a deeper understanding of the seasonal patterns of lakes of the same type while distinguishing the differences in latitude, longitude, and elevation of different types of lakes.
Solutions of the Irrotational Euler Equation
Authors: Wang Lan
Published: February 2025

The irrotational Euler's equation plays a significant role in fluid dynamics, and an in-depth study of its solutions helps to better understand the motion of fluids. This paper primarily addresses the analytical solutions of the irrotational Euler's equation in the absence of external forces. Analytical solutions for incompressible, steady-state fluids, as well as numerical solutions for cases where density is a function of time, are solved. Numerical solutions for the two-dimensional wave equation are solved and the images of the numerical solutions changing over time are plotted.
From Turing Models to Large Language Models: Evolution and Convergence of Symbolic and Connectionist Approaches in Artificial Intelligence
Authors: Ye Shijie
Published: February 2025

This paper provides a comprehensive investigation into the evolution of artificial intelligence (AI). It focuses on the enduring scholarly debate between symbolism and connectionism, with a particular emphasis on the Turing model and the neural network model. The study situates Large Language Models (LLMs) within this theoretical framework, emphasizing their connectionist foundations while critically examining their historical interactions with symbolic approaches. Key issues addressed include the academic controversies surrounding symbolic and connectionist methodologies, the distinctive attributes of each paradigm, and the future development trajectory of LLMs—specifically exploring whether their advancement should prioritize algorithmic innovation or data-driven scalability. The primary contribution of this paper lies in its comparative analysis of the Turing model and the neural network model, offering a nuanced perspective on the respective strengths and limitations of each approach. By elucidating the research landscape, this comparative framework seeks to foster the convergence of these paradigms, thereby advancing the development of LLMs. The findings suggest that integrating symbolic and connectionist paradigms holds significant promise for enhancing LLM capabilities, with profound implications for both academic research and technological innovation. This paper contributes to a deeper understanding of AI, providing insights that may expedite the development of more resilient and adaptable AI systems, ultimately benefiting human welfare and fostering societal advancement.
The Crowding Out Effect of Subways on Buses
Authors: Cai Botu
Published: February 2025

In recent years, humanity's dependence on road traffic has been increasing, and the problems it brings have been growing, especially the issue of traffic congestion on roads, which has become increasingly prominent, and the "big city disease" and other issues have become more apparent. This paper uses the multi-time point difference-in-differences (DID) model to analyze the data of 285 cities in China from 1999 to 2021 and finds that the opening of subways has not significantly affected the passenger flow of buses, indicating that subways have not had a displacement effect on buses. The increase in subway passenger flow is mainly due to the change in residents' travel modes and may have an impact on other modes of transportation such as taxis and private cars. Therefore, for areas not covered by the subway, especially old communities with a large population, it is recommended to strengthen the public transport connection with subway stations and introduce new types of transportation such as micro-buses to improve the convenience of residents' travel. Building an integrated public transport system with rail transit as the backbone and regular buses as the network, where various modes of transportation work in synergy, is an inevitable trend in the development of major global cities and an important way to solve the traffic congestion problems in big cities.
Critical Influence of Prefrontal Cortex-hippocampus Interactions on False Memories
Authors: Liu Hanjing
Published: February 2025

This thesis addresses the important role of prefrontal-hippocampal circuits in the generation of false memories. First analyses the influence of prefrontal and hippocampus in the generation of false memories by separately analysing the semantic processing in the prefrontal lobe and the effect of high cognitive load on memory. As well as the impact of the memory extraction process and memory integration on memory in hippocampal function. Finally, the integrated effects of prefrontal-hippocampal circuits on false memories are discussed as a whole. This section includes questions about the interactions between the two, such as prefrontal inhibition of the hippocampus and the mechanisms by which the two are in situations of high cognitive load. The results indicate that the prefrontal-hippocampal circuit has a very critical influence on false memories. Processing on various mechanisms and functional aspects of the interaction between the two affects memory.