bluuebunny/crossref_metadata_2025 huggingface dataset:
3D industrial crane model: a comparative study of intelligent control strategies
Authors: Fihakhir Amine Mehdi , Abdesselam Guerbouz , Mohammed Azzaoui
Published: November 2024

An overhead crane is a commonly used apparatus in industries and seaports for efficiently transporting, loading, and unloading large, heavy containers. This paper presents a 3D model of an overhead crane, referred to as the "3D Crane," and explores the application of two intelligent control strategies: Fuzzy Logic Control (FLC) and Adaptive Neuro-Fuzzy Inference System (ANFIS). The 3D Crane model replicates the dynamics and non-linear behavior of real-world cranes, making it a suitable model for evaluating control systems. FLC is based on a rule-based approach, utilizing expert knowledge to handle crane movements, offering flexibility in controlling non-linear systems. On the other hand, ANFIS combines neural networks and fuzzy logic to optimize control parameters through hybrid learning, providing an advanced adaptive control technique. The performance of both control strategies was analyzed through simulations, focusing on tracking accuracy, minimizing load sway, and ensuring system robustness. The results indicate that FLC performs well under disturbance conditions, effectively stabilizing the crane and mitigating swing. In contrast, ANFIS showed faster response times in reducing angular deviations, but exhibited some limitations in handling external disturbances. This comparison highlights the strengths and trade-offs of both methods, with FLC proving more robust in maintaining control stability and ANFIS excelling in achieving precise control in ideal conditions. The findings contribute valuable insights into the development of advanced control systems for overhead cranes, enhancing both operational efficiency and safety.
Análise metodológica sobre as variáveis que afetam o ensino da flauta doce para crianças no Brasil
Authors: Conceição Thaynah Patricia Borges , Kato Olívia Misae
Published: November 2024

O presente artigo tem como objetivo fazer uma análise metodológica de estudos realizados no Brasil sobre o ensino da flauta doce para crianças, considerando a necessidade crescente de desenvolver metodologias de ensino da flauta doce que possam promover a inclusão de crianças com autismo neste contexto. Como primeiro critério de busca, selecionou-se teses e dissertações do período de 2014 a 2024, que continham as palavras chaves ensino de flauta doce para crianças, em seguida buscou-se também artigos em anais de eventos e revistas cientificas. Para subsidiar ainda mais a pesquisa, buscou-se então a análise dos manuais de ensino da flauta doce mais consultados e utilizados no Brasil. Foram então consideradas para análise, as variáveis de participantes, local de ensino e procedimento de ensino. Após a análise dos estudos selecionados, conclui-se que pesquisas sobre procedimentos de ensino com a flauta doce ainda precisam ser mais exploradas no Brasil, haja vista o grande número de publicações sobre educação musical estarem mais direcionados à execução de um determinado repertório em apresentações musicais.
Avaliação institucional: reflexões, ações e algumas possibilidades
Authors: Miguel Paulo Sergio , Veiga Edicléa , Filipak Sirley Terezinha
Published: November 2024

Levando-se em consideração a importância da Avaliação Institucional, regulamentada pelo Ministério da Educação, este artigo tem como objeto, apresentar reflexões e possibilidades, com base no processo contínuo da autoavaliação de uma instituição de ensino superior na modalidade de ensino a distância (EAD).  Visto o baixo índice de estudantes participantes da Avaliação Institucional, há necessidade de elevar o índice de participantes no processo da avaliação institucional e apresentar estratégias para melhorias no processo contínuo da Avaliação Institucional. Para isso, foi feito um resgate do desenvolvimento da avaliação institucional no País, na sequência foi apresentada sugestões de ações, para melhoria desse processo na IES. Pois, tais sugestões, oportunizam a melhoria da qualidade dos processos acadêmicos, tecnológicos e de infraestrutura física da instituição, cumprindo o desafio de uma Avaliação Institucional com finalidades construtiva e formativa. Para desenvolver tal projeto a instituição contou com resultados de avaliações feitas em anos anteriores, contendo a análise e síntese do processo histórico. Seguindo esta perspectiva, este estudo tem sua ênfase na Educação a Distância (EAD), modalidade que também utiliza a Avaliação Institucional como um instrumento para a busca da qualidade. Para analisar essa temática, alguns autores são necessários, como: Andes (1986), Balzan (1995), Dias Sobrinho (1994), Veiga (1995), entre outros. É sobre a percepção dos resultados apresentados nas últimas avaliações institucionais realizadas com relação ao número de estudantes participantes para melhorias da instituição que discorreremos no presente artigo, entremeando contexto, teorias e reflexões.
Caracterização química de resíduos de cobre e ferro gusa como agregado miudo e graudo no concreto
Authors: Pinheiro Joana Claudia Zandonadi , Aguiar Neto Sabino Alves de , Lima João Carlos Lisboa de , Cunha Rodrigo Rodrigues da , Reis Luciano Carneiro , Duarte Leonardo Sousa , Amaral Willian Jorge Rodrigues , Fernandes Robson da Silva , Leite Jonas dos Santos , Silva Kleber Roberto Matos da , Farias Marcelo Martins , Farias Marcelo Martins , Medeiros José Odilon Barros de , Santos Alessandro José Gomes dos , Macedo Alcebíades Negrão , Picanço Marcelo de Souza
Published: November 2024

A preocupação crescente com os impactos ambientais da construção civil, um dos setores que mais gera resíduos sólidos, tem incentivado a adoção de práticas sustentáveis que visam minimizar a extração de recursos naturais e reduzir a degradação ambiental. Entre essas práticas, destaca-se a reutilização de resíduos provenientes de processos industriais, como os gerados por barragens de minério de cobre. A utilização de resíduos de cobre em substituição à areia tem, inclusive, apresentado um aumento na consistência do concreto à medida que o teor de resíduo aumenta. Além de reduzir o volume de rejeitos, essas práticas contribuem para a mitigação das emissões de CO2 associadas à fabricação de cimento e à exploração de recursos naturais. As dosagens percentuais para a substituição de agregados miúdos por rejeito de cobre e de agregados graúdos por escória de ferro gusa, nas proporções de 15%, 25%, 50%, 75% e 100% para ambos os materiais está baseada em parâmetros adotados em pesquisas similares, trazendo benefícios tanto para a indústria da construção civil quanto para a mineração. Essas soluções, com minério das regiões Sul e Sudeste do Pará, onde a mineração é um setor-chave, são fundamentais para promover uma economia mais circular e sustentável, contribuindo para a preservação ambiental e o desenvolvimento de novas tecnologias mais limpas.
A participação feminina na Bolsa de Valores: motivações e desafios em Alta Floresta-MT
Authors: Machado Priscila Terezinha Aparecida , Bayão Gabriela Lopes , Silva Elisângela Maria da , Martinhão Caroline Prado Ormond de Barros , Tabisz Thaline , Silva Nayara Bressan da , Santos Kariele Cristina de Almeida dos , Kikuchi Bruna Julien Oliveira da Costa Palheta
Published: November 2024

Este estudo tem como objetivo analisar a crescente participação feminina no mercado financeiro, com foco nas mulheres investidoras do município de Alta Floresta-MT. O número de mulheres investidoras na Bolsa de Valores B3 ultrapassou 1,1 milhão, representando aproximadamente 28% da base total de investidoras. Esta pesquisa busca entender as motivações que levam essas mulheres a investir na B3. Foi adotada uma metodologia qualitativa, com abordagem exploratório-descritiva. A coleta de dados foi realizada por meio de entrevistas semiestruturadas realizadas com cinco mulheres investidoras, presencialmente e online via Google Meet. Os resultados destacam que, embora a participação de mulheres no mercado financeiro esteja em ascensão, identificar e mapear o perfil das mulheres investidoras no município estudado ainda é um desafio significativo. Apesar dessas dificuldades, o estudo contribui para uma melhor compreensão dos fatores que influenciam o comportamento de investimento feminino. Além disso, esta pesquisa incentiva uma maior participação de mulheres no mercado de ações e se soma às discussões teóricas já presentes na literatura, com foco na inclusão de mulheres no mercado financeiro e seu crescente papel na tomada de decisão de investimentos.
Aplicativos móveis para orientação de mulheres no período do climatério e menopausa
Authors: Silva Juliana Nobre da , Scardovelli Terigi Augusto , Santos Marcello Francisco dos , Silva Alessandro Pereira da , Boschi Silvia Regina Matos da Silva , Martini Silvia Cristina
Published: November 2024

O período da transição da menopausa, também conhecido como climatério, pode ser uma fase difícil para algumas mulheres pois vivenciam diversos sintomas que podem influenciar sua qualidade de vida. Nesta fase é importante reconhecer estes sintomas para assim adotar hábitos que possam amenizá-los. Os aplicativos móveis voltados à mulher climatérica podem ser utilizados como ferramentas de acesso a informações sobre este período. Este estudo teve como objetivo identificar aplicativos móveis voltados ao auxílio de mulheres no período do climatério e menopausa, analisar quais assuntos são apresentados e quais fatores são limitantes de acesso às informações destes aplicativos. A busca por aplicativos que abordassem o tema climatério e menopausa foi realizada em duas etapas, sendo estas nas bases de dados Pubmed, Scholar Google, Cinahl e em loja de aplicativos. Foram selecionados 10 artigos e 12 aplicativos para análise. Alguns dos aplicativos estudados apresentaram informações relevantes e ferrramentas úteis para as mulheres climatéricas, porém, todos os temas e aplicações considerados pertinentes ao climatério e menopausa não foram encontrados reunidos em um único aplicativo. Outras dificuldades observadas foram o idioma de publicação, que em sua maioria apresentava-se em inglês, e cobrança financeira de assinatura, o que limita o acesso por mulheres de diversos países e de todas as classes sociais. A solução para a lacuna encontrada entre os aplicativos avaliados neste estudo seria a utilização de uma abordagem ampla, em vários idiomas e com acesso gratuito para mulheres de todas as classes sociais.
A educação do campo como prática social de resistência e luta camponesa no Território Cantuquiriguaçu - Paraná
Authors: Moraes Vitor de
Published: November 2024

Neste trabalho, investigamos e analisamos a resistência e a luta pela terra, tendo como recorte espacial o Território da Cantuquiriguaçu, Paraná/Brasil, e a dimensão da Educação do Campo como prática social de resistência camponesa. A metodologia utilizada foi qualitativa, baseada em discussão teórica e pesquisa de campo. Constatamos que o Território Camponês se configura como um espaço de prática da Educação do Campo, onde a luta e a resistência se manifestam na cultura, na produção da vida e nas relações de trabalho familiar e comunitário, além das interações com a terra. Essas dinâmicas são marcadas por contradições, conflitos e disputas, especialmente em face do avanço do agronegócio. A prática do campesinato na Cantuquiriguaçu revela um território de conflitos e resistências, onde se preservam a essência do trabalho familiar e os laços culturais e sociais. A organização camponesa é visível através dos Movimentos Sociais Populares do Campo (MSPC), que promovem ações de cooperação, mercados de circuitos curtos e a luta por terra e direitos. Destacamos a agroecologia como uma potencialidade e, ao mesmo tempo, como uma realidade e utopia de um modelo agrícola que busca articular o cuidado com a vida, a terra e uma sociedade baseada na igualdade social, na democracia e na solidariedade.
Consequências do uso a longo prazo de Inibidores de Bomba de Protóns (IBPs)
Authors: Nunes Felipe de Oliveira , Santos Bruna Medina Simião dos , Aranha Guilherme Regis , Pavan Antonio Vinicius , Kemp Lucas Martins , Kemp Vitório Luís
Published: November 2024

Os inibidores de bomba de prótons, estão entre os medicamentos mais eficazes para a inibição farmacológica da secreção de ácido gástrico. O objetivo desta revisão é avaliar as principais consequências do uso prolongado de IBPs, considerando os riscos para diferentes sistemas do organismo. Foi realizada uma revisão narrativa de literatura nas bases de dados MEDLINE (Plataforma BVS), PubMed e Cumulative Index to Nursing and Allied Health Literature (CINAHL). Foram incluídos artigos completos, publicados nos últimos cinco anos em inglês, português ou espanhol, que abordassem os efeitos a longo prazo dos IBPs. Os achados indicam que o uso prolongado de inibidores da bomba de prótons podem estar associados a consequências como risco aumentado de fraturas, calcinose, deficiências de minerais (magnésio e ferro), infecções, doenças renais, câncer, asma, pólipos gástricos e problemas neurológicos. Conclui-se que o uso prolongado dos IBPs, embora eficaz para controle da secreção gástrica, pode acarretar consequências significativas.
Técnicas de reforço de estruturas em concreto armado
Authors: Santos Alessandro Correia dos , Saran Arthur Andriani , Araújo Isabelly Vitória Gonçalves de , Rossi Leticia Rodrigues , Silva Luiz Henrique da , Camargo Pedro Henrique Araujo , Leite Igor Charlles Siqueira
Published: November 2024

O reforço de estruturas de concreto armado é fundamental para permitir a mudança de uso em edificações, adaptando-as a novas demandas de carga e uso funcional. Este trabalho investiga três técnicas de reforço aplicadas a uma laje que, devido à conversão de uma sala de estar em uma biblioteca, precisou ter sua capacidade resistente aumentada. As técnicas analisadas incluem o reforço com chapas metálicas, reforço com vigas metálicas e reforço com fibras de carbono. Foram utilizados softwares de modelagem de estruturas e calculadoras que utilizam normas técnicas específicas, como a ACI 440.2R-17, para avaliar o desempenho das soluções. Concluiu-se que as três técnicas são viáveis, sendo a escolha da mais adequada dependente de fatores como custo, rapidez de execução e a magnitude dos esforços a serem suportados. Assim, este estudo contribui para a compreensão das alternativas de reforço de lajes, proporcionando maior segurança e prolongando a vida útil das edificações.
Preocupações geradas no consumidor frente a postura e efeitos negativos introduzidos pela indústria 4.0
Authors: Gomes Rafaella Christina
Published: November 2024

O objetivo deste artigo é realizar uma revisão da literatura sobre as preocupações geradas no consumidor frente a postura e efeitos negativos introduzidos pela indústria 4.0. A relevância do tema é pautada na complexidade dos impactos que inovações tecnológicas têm proporcionado, concedendo maiores e melhores possibilidades e facilidades ao processo produtivo construtivo, mas, por outro lado, ter modificado as condições de trabalho e o comportamento do consumidor, resultando na precarização do trabalho e uberização. Optou-se, para o desenvolvimento deste artigo, o método teórico, o qual se fez para discutir os conceitos de indústria 4.0 fazendo uma relação com as condições e precarização do trabalho e demais conceitos relevantes para fundamentar o estudo. Para o alcance do objetivo proposto, a metodologia de pesquisa adotada foi a bibliográfica, por permitir o uso de material já publicado, servindo de contribuição para a fundamentação do tema estudado. Essa revisão permitiu concluir que a automatização dos processos sugerem, sim, preocupações  no consumidor frente a postura e efeitos negativos introduzidos pela indústria 4.0, uma vez que reduz postos de trabalho e, por conseguinte, o poder de consumo da massa consumidora.
Emergence as a Moral Theory: Reappraising Robert Nozick's Foundational Liberalism
Authors: Meadowcroft John
Published: November 2024

This article argues that Robert Nozick's Anarchy, State, and Utopia has been widely misread as a crude defense of the inequalities of contemporary capitalist societies. Nozick's book was in fact a work of ideal theory that proposed an account of the emergence of the state as a new moral foundation for liberal thought and practice. Nozick believed a justification of the state derived from a hypothetical account of its emergence without violating anyone's rights was more plausible than the standard liberal claim that the legitimacy of the state followed from the hypothetical consent of the governed. An appreciation of the purpose and success of Nozick's account of the emergence of the state challenges established interpretations of his book as an inherently flawed, if at times ingenious, conservative political tract.
The Decisive Research of Materials and Processes in Product Design
Authors: Wu Yingdong
Published: November 2024

With the development of The Times, product design is no longer limited to simple functional considerations, but gradually evolved into a comprehensive discipline integrating art, technology and humanities. Material and process as one of the three core elements of product design, its importance is beyond doubt. Materials and processes are the material and technical conditions of product design, and their development plays a decisive role in the change of products. This paper aims to deeply explore the importance of materials and processes in product design, as well as the creation concept of "beauty of materials and workmanship" in product design, and explore its application value in contemporary product design through the study of pragmatic aesthetics combining traditional creation concepts and the innovation of materials, processes and design aesthetics in modern product design. It is hoped that these studies can provide useful inspiration and reference for the development and innovation of product design field.
Solving the Ultimate Water Accumulation Depth of Artificial Dam in Coal Mine Underground Reservoir Based on The Galerkin Method
Authors: Hou Zhuangzhuang
Published: November 2024

In order to improve the problem of low utilization rate of groundwater in the process of coal mine production, some mining areas in northwest China use the goaf of the working face as a water storage space, and establish underground reservoirs to realize water retention mining. In order to solve the problem of the stability of the underground reservoir structure, this paper studies the ultimate water level height that the artificial dam can bear. The concrete wall of the artificial dam under the action of water pressure is simplified as the mechanical model of the four-sided solid support plate, and the expression of the strain deflection and the expression of the internal stress function of the dam are derived by using the Galerkin method. The ultimate head height that the dam can withstand is calculated to be 22m.
The Research Progress of TGF-β in Obstructive Renal Water
Authors: Qin Xiaopeng , Fu Houjie , Huang Qun
Published: November 2024

Transformation and growth factor β (TGF-β) is a newly discovered TGF-β super family that regulates cell growth and differentiation. Obstructive renal hydrophilic water causes the kidney unit to be damaged, and the renal function will also decrease. In the end, the kidneys are in a non-functional state, causing many harms to the physical and mental health of patients. Finders that can promote cell fibrosis, and play a key role in the pathological development of chronic kidney disease. TGF-β1 participates in various processes, including promoting multi-energy stem cells into fibroblasts, stimulating kidney capillaries endothelial cells, polygonal shapes, polygonal shapes Cells and mesenchymal cells are converted into fibroblasts. Through the research on the TGF-β structure, type, synthesis, signal transition, and its relationship with renal fibrosis, it helps to reveal its role in renal fibrosis. This article will review the latest research progress of the pathogenesis of TGF-β in the pathogenesis of obstructive renal water hydrosis and treatment, in order to propose the latest research conclusions of obstructive kidney accumulation diagnosis and treatment, which provides theoretical guidance for the treatment of obstructive renal water.
The Virtuous Interaction between Capital and Technology in the Context of New Productive Force
Authors: Yang Xinyi
Published: November 2024

The world has entered an era of intelligence led by the Internet of Things and smart manufacturing. In response to the current situation, the concept of ‘New Productive Force’ emerges. The new productive force, which is qualitatively defined as the renewal of science and technology, cannot be realised without the effective promotion of capital. The technologically driven logic of capital multiplication in the age of capitalism has developed the law of capital's behaviour in the pursuit of value multiplication to such an extreme that exploitation seems to have become a ‘logical “misadventure” on the road to the good life’. Under the conditions of socialist market economy, capital and technology are no longer in a relationship of ‘collusion’, but should be realised within the orbit of the socialist system to achieve a benign interaction between each other, so as to empower the high-quality development of the economy with the new productive force.
Data-Driven Fresh Food Supply Chain Management and Market Competitiveness Research
Authors: Ren Qiliang , Kang Yifan , Zhang Wei
Published: November 2024

Vegetable commodities have the characteristics of short freshness period, variety, and special purchase time. Therefore, it is particularly important to predict and manage the purchase and shipment of vegetable commodities. Good management can significantly improve the profits of supermarkets and save costs. For the relationship between vegetable categories, we studied the seasonal distribution of sales volume of each category of vegetables based on Spearman correlation analysis, and then studied the cyclical pattern of vegetables based on the ARIMA algorithm model with a sliding window of seven days. We also predicted the sales trend of vegetables and predicted the cost data based on the LSTM model, and predicted the vegetable prices and inventory for the next seven days based on the particle swarm optimization algorithm, obtaining the optimal results.
Short-Term Passenger Flow Prediction Based on a Hybrid Model of Support Vector Machine and Long Short-Term Memory Network
Authors: Tian Yuting , Ha Jinbing
Published: November 2024

This study focuses on Line 10 of the Nanjing subway system, analyzing the spatiotemporal distribution characteristics of passenger flow data from the perspectives of network layout and station functionality. The research summarizes the unevenness, temporal variability, periodicity, and similarity characteristics of passenger flows along this line. Addressing these characteristics, a preprocessing method combining Self-Organizing Map (SOM) algorithm with Isolation Forest is proposed for handling passenger flow data, which involves data classification and anomaly detection. Input features such as periodic flows, weekday identification, weather conditions, and passenger flow categories are constructed. A Short-Term Passenger Flow Prediction Model (PSO-SVM) is developed, employing Support Vector Machine (SVM) algorithm optimized by Particle Swarm Optimization (PSO) for enhanced parameter tuning capability. The integrated predictive model is applied within the operational decision-making framework of Line 10, facilitating data storage, retrieval, and analysis of future station passenger flows. This enables rail transit operators to adjust operational strategies more accurately based on predicted passenger flows, thereby improving overall energy efficiency.
Prognostic Value of the Pan-Immune-Inflammation Value (PIV) in ARDS Patients: A Retrospective Study on MIMIC-IV database
Authors: Dong Chufan , Guo Qing , Zhang Yue , Zhang Rui
Published: November 2024

(ARDS) is a severe and life-threatening condition characterized by acute lung injury and hypoxemic respiratory failure. Despite significant advances in critical care, ARDS continues to have a high incidence and mortality rate worldwide. The pathophysiology of ARDS is complex, primarily involving a complicated interplay between inflammation, immune response, and endothelial damage, leading to impaired gas exchange and respiratory distress. Therefore, identifying reliable biomarkers that can accurately predict patient outcomes is crucial for developing patient management strategies. Recent studies have highlighted the importance of systemic inflammation in the progression and outcomes of ARDS. The Pan-Immune-Inflammation Value (PIV), an emerging biomarker, integrates multiple immune and inflammation parameters, including neutrophil count, monocyte count, lymphocyte count, and platelet count. Research has shown that PIV is associated with the severity of inflammation and can predict the prognosis of various critical illnesses, including sepsis and cardiovascular diseases. Given the role of inflammation in ARDS and the potential use of PIV to assess and predict levels of inflammation, this retrospective study aims to evaluate the prognostic value of PIV in patients with ARDS. By analyzing patient data from the MIMIC-IV database, this study seeks to determine whether PIV can serve as an independent predictor of mortality and clinical outcomes in ARDS patients, thereby providing clinical guidance to improve patient outcomes.
Research on Digital Empowerment of Liao Dynasty Ancient Pagoda Cultural Heritage Protection Strategy
Authors: Sun Qi , Xu Ying
Published: November 2024

With the rapid development of information technology, digital technology has become an important tool for cultural heritage protection. This paper analyzes the role of digital technology in the protection of Liao Dynasty ancient pagodas and proposes a series of protection strategies, which puts forward innovative ways for the sustainable protection of Liao Dynasty ancient pagoda cultural heritage.
Dark Matter Interpretation of the Fermi-LAT Galactic Center Excess
Authors: Lu Alan
Published: November 2024

In this work, we analyze the γ-ray Galactic Center Excess (GCE) as a potential signal from dark matter (DM) annihilation. Using updated annihilation spectra, we calculate the gammaray flux for various annihilation channels and compare the results to those obtained from previous analyses of Fermi-LAT data. We assume generalized Navarro-Frenk-White (gNFW) and Einasto DM density profiles, from which we estimate the geometrical factor . We determine the best-fit DM mass and annihilation cross section for each channel, with the b quark, Z boson, and W boson channels yielding the most favorable results. The b quark channel provides a good match with a DM mass around 45–60 GeV and a cross section near the thermal relic value. These findings reinforce the viability of the DM annihilation scenario for the GCE, and we present spectra and cross section comparisons that strengthen this interpretation.
Research on Travel Route Planning for Foreign Tourists Based on Comprehensive Evaluation Model and Greedy Algorithm
Authors: Zhang Ziguan , Yang Junjun , Zhai Zhenyu
Published: November 2024

As globalization continues to deepen, China has attracted more and more international tourists with its unique culture and natural landscapes. In order to provide an efficient and in-depth travel experience, this study aims to design an optimal travel route for a foreign tourist arriving from Guangzhou to visit multiple cities in China within 144 hours. This study first determined the highest-rated attractions (BS) and their distribution by collecting and analyzing the rating data of 35,200 attractions in 352 cities. Secondly, the Analytical Hierarchy Process (AHP) and the TOPSIS method were used to comprehensively evaluate the cities and select the 50 cities that are most attractive to foreign tourists. Finally, this study applies a greedy algorithm, combined with the high-speed rail network and travel time between cities, to plan a travel route that maximizes cost-effectiveness and enriches experience. The research results not only provide tourists with an efficient travel route, but also provide data support and optimization suggestions for tourism planners and decision-makers.
Research on Spiral Motion Analysis Based on Optimisation Algorithm and Neural Networks
Authors: Cui Weishuai , Deng Xi , Dong Peiting
Published: November 2024

This paper presents an in-depth study of motion problems involving dynamical models in spiral paths, with a focus on computational techniques and algorithms. By utilising the geometric properties of spirals, we have developed equations of motion for the nodes along the path [1]. The dynamics of motion in the spiral path are accurately described using advanced computational methods. First, we developed a motion model based on the geometric properties of the helix. The complete motion trajectory is obtained by second-by-second enumeration using MATLAB to ensure accurate computational precision. Second, a collision detection model is constructed; using MATLAB's inpolygon function, we determine that the collision occurs at 412.5 seconds. Finally, we use advanced algorithms to optimise the motion path and velocity. A particle swarm optimisation (PSO) algorithm and a feed-forward neural network are used to determine the minimum pitch angle, which is calculated to be 43.4 cm [2,3]. In addition, the maximum velocity that satisfies the velocity constraint is solved by these computational techniques.
Competitive Sports Research Based on Data Analytics and Machine Learning Models
Authors: Hou Shuting , Lan Xile , Zhang Huiyao , Luo Xingying
Published: November 2024

In contemporary competitive sports, data analysis and modeling applications have become indispensable tools for optimizing training and improving athletic performance. To effectively handle the variety and changing nature of matches, match data is combined to create models that can manage intricate match situations. In this paper, the data are normalized, missing values are filled by interpolation, and the outlier detection based on box diagram is used to complete the preprocessing. Furthermore, to assess player scores, 16 metrics are implemented, conventional machine learning models underwent training, and the top-performing LightGBM model is chosen, indicating the impact of each metric on the score. The results show that the LightGBM model is highly robust, precise, and accurate.
The Role and Optimization of Feedback Mechanism in Game Assisted Psychological Rehabilitation
Authors: Li Yifan
Published: November 2024

With the deep integration of psychology and game therapy techniques, game therapy, as an innovative psychological rehabilitation method, is gradually demonstrating its unique advantages in promoting mental health, especially for children with psychological and behavioral disorders such as autism, with significant therapeutic effects. Feedback mechanism, as an essential core element in game design, plays a crucial role in enhancing players' gaming immersion and improving therapeutic effects. This article delves into the multiple roles of feedback mechanisms in game assisted psychological rehabilitation. Through real-time, accurate, and engaging feedback, games can continuously stimulate children's interest in participation, help them establish positive emotional experiences, and promote the comprehensive development of cognitive function, social skills, and emotional management abilities. Meanwhile, this article also focuses on optimization strategies for feedback mechanisms. Propose personalized feedback design ideas for children of different age groups and different medical conditions, ensuring that the feedback content not only meets the psychological characteristics of children, but also effectively promotes the achievement of rehabilitation goals.
Research on Autonomous Mobile Robot Navigation Technology Based on Deep Reinforcement Learning
Authors: Xi Yiheng
Published: November 2024

The development of autonomous mobile robots (AMRs) is crucial for advancing automation across various sectors, including industrial, logistics, and service industries. These robots have the potential to revolutionize how tasks are performed, offering increased efficiency and reduced human intervention. However, one of the primary challenges in this field is achieving efficient and reliable navigation in complex and dynamic environments. Traditional navigation techniques, which often rely on predefined paths and static maps, fall short in such settings. This limitation necessitates the adoption of more sophisticated approaches that can adapt to real-time changes and uncertainties in the environment. Deep Reinforcement Learning (DRL), particularly algorithms like Deep Q-Learning and Proximal Policy Optimization (PPO), has emerged as a promising solution to these challenges. This review explores recent advancements in DRL-based navigation technologies, highlighting key methodologies, simulation results, practical applications, and future research directions. By analyzing various studies, this paper demonstrates how DRL can significantly enhance AMR navigation capabilities, offering marked improvements in path planning, obstacle avoidance, and overall adaptability to dynamic environments. These advancements suggest a promising future for AMR deployment in increasingly complex settings.
Optimisation of Steel Plate Cutting Paths Based on Generalised Traveller Model and Hybrid Greedy Heuristic Algorithm
Authors: Ge Jipeng , Bao Jiawen
Published: November 2024

In this paper, aiming to reduce the empty travelling distance in steel plate cutting process, a hybrid greedy based heuristic algorithm, combined with simulated annealing algorithm and genetic algorithm, is proposed for optimising the process path of steel plate cutting through Python program. Firstly, Dijkstra's algorithm and greedy algorithm are used to optimise the paths for simple cutting layouts and successfully reduce the empty journey length. Subsequently, the simulated annealing algorithm is applied to complex cutting layouts such as internal efficient cutting routes and complex outer boundary shapes, which significantly optimises the cutting efficiency. Further considering the case of cutting multiple rectangular pieces inside an ellipse, a genetic optimisation algorithm is applied to effectively solve the complex constraints of symmetric distribution and cutting order. Finally, a nonlinear objective function and Dijkstra's algorithm are designed to optimise the paths for cutting four small rectangular parts inside the ellipse, and the optimal position and number of "bridges" are determined, which further improves the productivity and cost-effectiveness. Through these methods and experimental results, the significant impact of path optimisation on productivity in industrial applications is verified.
Analysis of the Application Scenarios of Different Sensors in Automated Guided Vehicles
Authors: Chen Zhenchang
Published: November 2024

This study offers a detailed examination of diverse sensor technologies employed in Automated Guided Vehicles (AGVs) across various settings, including warehouses, hospitals, and outdoor environments. The paper investigates the use of a wide range of sensors— Light Detection and Ranging (LiDAR), inertial, vision-based, and magnetic sensors—in AGVs to improve navigation accuracy, reliability, and flexibility. LiDAR generates precise 3D maps and identifies obstacles; inertial sensors, such as accelerometers and gyroscopes, deliver essential data for movement and orientation; vision-based sensors identify landmarks and facilitate predefined path navigation; magnetic sensors guarantee dependable indoor positioning in areas without GPS. Additional focus is given to the increasing trend of sensor fusion, which combines various sensor types to enhance localization, obstacle detection, and path planning. Sensor fusion improves accuracy, safety, and operational efficiency in AGVs. Furthermore, the paper explores the development of more autonomous navigation systems that utilize Artificial Intelligence-based (AI-based) models and advanced algorithms for dynamic decision-making and real-time adaptability. Such advancements propel innovation in robotics, automation, and intelligent transportation systems. As sensor technologies advance, AGVs and other autonomous systems are expected to exhibit enhanced capabilities, wider applications, and more efficient operational processes. This analysis not only underscores the current state of sensor technology in navigation systems but also paves the way for future research and development in this swiftly progressing field.
The Analysis and Prospects of Concentrated Solar Power Technology
Authors: Lv Xiangrun
Published: November 2024

Concentrated Solar Power (CSP) technology has gained significant attention as a renewable energy source, driven by global trends towards energy transformation and carbon neutrality. This technology converts solar radiation into high-temperature thermal energy, which is then used for electricity generation, addressing the intermittency and instability issues of solar power. Thermal Energy Storage (TES) technology enhances the system's flexibility and stability by efficiently storing and releasing energy. This paper provides a comprehensive review of CSP technology, including its technical principles, application status, and latest developments. The technical principles involve concentrating sunlight onto a heat absorber using mirrors or lenses, heating a working fluid, and transferring the heat energy to a working medium to produce high-temperature, high-pressure steam that drives a steam turbine. CSP technology is categorized into Fresnel, tower, dish, and trough systems, each with its unique characteristics and applications. Globally, the operational capacity of CSP plants has exceeded 6.5GW, with significant contributions from countries like Spain, the United States, and China. Parabolic trough technology is the most widely deployed, followed by tower technology. The energy storage capacity of CSP power plants has also increased, with some plants capable of operating for extended hours. Recent research focuses on integrating CSP technology with Supercritical Carbon Dioxide (sCO2) Brayton cycles for higher thermal efficiency and reducing system volume and costs. Additionally, the application of phase change materials (PCM) and molten chloride salts in CSP systems is being explored for improved thermal storage capabilities. Concentrated solar thermal power technology, with its clean, renewable, and stable characteristics, is expected to play a crucial role in achieving global energy sustainability and reducing greenhouse gas emissions. Continued technological innovation and policy support are essential to overcome challenges and enhance its position in the future energy structure.
GPX4 Shields Organs from Sepsis-induced Damage by Regulating Programmed Cell Death
Authors: Guo Qing , Zhang Rui
Published: November 2024

Sepsis, a condition characterized by multi-organ dysfunction resulting from a severe imbalance of inflammation following infection, is notorious for its high fatality rate, poor prognosis, and the intricate challenge of estimating its annual economic losses. Nevertheless, the intricate mechanisms underlying sepsis remain elusive. Programmed cell death, an umbrella term, embraces diverse modalities such as apoptosis, necroptosis, autophagy, ferroptosis, pyroptosis, and recently identified cuproptosis. Among them, GPX4 (glutathione peroxidase 4) emerges as a key intracellular regulator intricately involved in various physiological processes such as ferroptosis, cuproptosis, autophagy, apoptosis, necroptosis and pyroptosis crucial in maintaining REDOX balance in the body. GPX4 plays a vital role in safeguarding against sepsis-induced lung injury and other organ damage through the regulation of ferroptosis, pyroptosis and other programmed cell deaths. This treatment option can potentially rescue critically ill patients suffering from severe infections and enhance the survival rate of patients in the intensive care unit. The present study endeavors to decipher the molecular underpinnings of GPX4's role in sepsis and uncover potential therapeutic targets for the treatment of this devastating condition.
Unique Feature of Cuba’s Public Diplomacy
Authors: Du Siqi
Published: November 2024

This paper examines Cuba’s public diplomacy, initiated in the 1960s under Fidel Castro, to reshape its international image following the U.S. embargo. Key strategies included medical diplomacy, disaster relief, and the establishment of medical education systems like ELAM. Cuba’s unique position as a small, non-threatening nation under U.S. sanctions generated global sympathy, reflected in international support, such as the U.N. vote in 2018. However, Cuba’s public diplomacy is not easily replicable due to its distinctive political and economic conditions.
Stewart Patform Tchnology Research and Inovation
Authors: Wang Mingxiao , Ma Qiang , Peng Baolong
Published: November 2024

In the era of rapid technological advancement today, the Stewart platform, as a six-degree-of-freedom parallel robot mechanism, has demonstrated broad application potential and significance across multiple domains. Nevertheless, with the continuous expansion of application fields and the escalating technical requirements, the Stewart platform confronts pivotal challenges in further enhancing its performance, broadening its application scope, and strengthening system stability. Responding to these challenges, this paper adopts a comprehensive research approach, integrating the latest engineering technologies and theoretical analyses, to delve into the technological development trends and future innovation directions of the Stewart platform from three perspectives: structural optimization, innovative control strategies, and advancements in materials science. Firstly, leveraging advanced computational tools and algorithms, the structural design of the Stewart platform is optimized to enhance its load-bearing capacity and motion accuracy while reducing energy consumption. Secondly, artificial intelligence-based control strategies are introduced, utilizing learning algorithms to refine the motion control of the Stewart platform, thereby achieving operations with higher precision and faster response times. Lastly, the application of novel materials such as carbon fiber composites and shape memory alloys is explored to elevate the mechanical properties and adaptability of the Stewart platform. The research focus of this paper lies in driving the performance upgrade and application expansion of the Stewart platform through technological innovations, particularly in scenarios demanding high precision and stability. Through these investigations, the paper underscores the pivotal roles of structural optimization, intelligent control, and materials science in the development of the Stewart platform, offering theoretical foundations and practical guidance for future technological innovations and applications.
Exploration of Liangzhu Intangible Cultural Heritage Protection and Inheritance Path Based on Semiotics Theory
Authors: Zhu Xuyi
Published: November 2024

Liangzhu culture is a crucial heritage of ancient Chinese civilization. Its unique patterns are not only the crystallization of art, but also an important symbol with profound cultural connotation. To promote the inheritance and development of Liangzhu culture, with a focus laid on the special patterns of Liangzhu intangible jade and pottery, in combination with the comprehensive analysis method of semiotics, this paper analyzes the signifier of Liangzhu cultural patterns, that is, the visual language composed of intuitive features of patterns, and expounds on the signifier system, which is about how these patterns reflect the religious beliefs, social concepts, living customs and aesthetic pursuit of ancient society. Through systematic sorting and classification, a pattern classification table is established, which intuitively presents the diversity of Liangzhu patterns in themes and symbolic meanings. On this basis, in addition to exploring the protection and development of Liangzhu cultural patterns in modern society and emphasizing the combination of Liangzhu culture and aesthetic education, this paper cultivates the public cognition and love for Liangzhu culture, especially teenagers, uses digital technology to realize effective protection and wide dissemination of culture, and enhances the sustainable protection of intangible cultural heritage. Meanwhile, Liangzhu elements are integrated into the field of product design, so as to rejuvenate ancient patterns in modern design through cross-border cooperation and innovative design, thus promoting the inheritance and innovation of Liangzhu culture in the new era.
Research on Investor Sentiment from the Perspective of a Complex Network
Authors: Wang Yangan
Published: November 2024

Considering the financial market as a complex network system, we can look at its complexity from multiple aspects. The stock market is not only a key part of the financial market, but also one of the remarkable characteristics is that the investor sentiment in China's stock market is more volatile, and the impact of this fluctuation on the stock price is also more significant. This paper takes CSI 300 as the research object, selects five indicators of price-earnings ratio, turnover rate, stock price amplitude, stock price fluctuation and liquidity, and uses the principal component analysis method to construct the investor sentiment index and prove its rationality. At the same time, based on Pearson's correlation coefficient, the stock price fluctuation network and investor sentiment network are constructed, so as to better understand the relationship between investor sentiment and stock price fluctuation, and understand investor sentiment from multiple dimensions. The empirical analysis shows the following conclusions: there is a strong correlation between investor sentiment and stock price; investor sentiment shows high consistency in the same industry; and the investor sentiment network meets the characteristics of small world network in complex network.
Analysis of Cuttings Backflow and Flow Path Erosion of Different Size Core Tools
Authors: Yao Kunpeng , Liu Bin , Yao Jianlin
Published: November 2024

In the process of rock coring drilling, poor rock-carrying ability and short bit life are the main reasons leading to low drilling efficiency, among which the cuttings deposition at the bottom of the annulus and the abrasive cuttings wear the drilling teeth are the main factors. Therefore, taking an ultra-deep well in the northwest of Sichuan Basin as the research object, a three-dimensional fluid-structure coupling numerical model of coring tool was established to analyze the flow velocity law of bottom hole and annulus under different sizes, and the influence of injection parameters on the flow channel erosion rate was investigated. The results show that: (1) There is a linear positive correlation between bottom hole flow rate and annulus flow rate with different sizes of coring tools. The attenuation rate of flow rate from bottom hole to annulus is about 90%, and both can meet the minimum rock carrying rate. (2) The inner wall of the outlet of the throat is in the area of sudden shrinkage of the fluid channel, and the erosion wear is the most serious; secondly, the fluid channel of the inlet of the throat decreases but does not decrease sharply, and the erosion phenomenon is more serious but relatively weak; (3) The comparison and analysis of Φ140, Φ203 and Φ172 core tools showed that the erosion rate in the erosion area decreased from 10-3 to 10-4 and 10-5 under the same injection displacement, showing an order of magnitude change; However, when the injection rate increases to 35 L/s, the erosion rate in the two areas is of the same order of 10-4. It is concluded that in the process of rock coring, it is necessary to select a larger size coring tool, reasonably increase the injection displacement, optimize the inlet and outlet flow channels and wall structure, avoid excessive increase in erosion rate, and reduce the impact of erosion effect on the fatigue life of drill teeth and wall. The research results can provide technical support for solving practical drilling problems on site.