bluuebunny/crossref_metadata_2025 huggingface dataset:
Motivación, ansiedad, depresión y estrés en deportistas universitarios en tiempos de restricciones sanitarias producidas por la pandemia del covid 19
Authors: Hernández Sáez Daniel Alejandro
Published: November 2024

En tiempos de pandemia, han sucedido una serie de procesos adaptativos para toda la población mundial, particularmente en esta investigación se busca indagar sobre las variables psicológicas de motivación, ansiedad, estrés y depresión en deportistas universitarios que vuelven a la actividad presencial en el mes de julio 2022, tanto académica y deportiva, pero aún con restricciones sanitarias a causa del Covid-19. Desde el año 2020, cuando inicia la pandemia en Chile, no se ha realizado actividad presencial en ningún centro universitario. En este contexto, surge la necesidad de conocer el estado de las variables antes mencionadas en los deportistas universitarios, ya que el nuevo proceso adaptativo a la presencialidad, junto con no poder tener objetivos competitivos nacionales son un problema a resolver. El objetivo del estudio es evaluar las variables de motivación, ansiedad, estrés y depresión en deportistas universitarios activos en la vuelta a la presencialidad de actividades académicas y deportivas, aun cuando se mantienen las medidas de restricción por la pandemia del Covid-19. La metodología que se utiliza es de carácter cuantitativo, con un diseño exploratorio de corte transversal. Los resultados que se presentan en este estudio manifiestan una relación entre la motivación con la depresión (<..001) y la ansiedad (<.001), mientras que con el estrés no (<.079), usando un p valor <.05. Todo esto analizado a través del coeficiente de correlación de Spearman. Se concluye que, si bien la relación es baja (rho de Spearman ansiedad <.339, depresión <.289 y estrés <.152), el estudio muestra un alto grado de autodeterminación en la motivación (media 5,76) y como esta tiene una relación favorable con las demás variables de estudio, los cuales presentan la puntación de un estado mental estable en la población investigada durante el regreso a las actividades universitarias deportivas y académicas.
Ejercicios para mejorar los fundamentos técnicos del pase y tiro al arco en el fútbol
Authors: Perlaza Estupiñán Alex Arturo , Burgos Angulo Darley Jhosue
Published: November 2024

El presente trabajo de investigación se realiza en la Liga Cantonal de Durán con el objetivo de diseñar un programa de ejercicios específicos para el mejoramiento de los fundamentos técnicos del pase y tiro al arco en el fútbol, con el propósito de que los futbolistas mejoren sus habilidades técnicas, sean eficaces en la técnica del pase y tiro al arco y logren alcanzar su máximo rendimiento deportivo en el fútbol profesional. La metodología de esta investigación es de campo, de tipo descriptivo con enfoque mixto. Para desarrollar esta investigación se hizo uso de las técnicas e instrumentos para la recopilación de información de suma importancia, tal como la entrevista dirigida al dirigente de la Liga Cantonal, la guía de observación dirigida a los 2 entrenadores en base al proceso de entrenamiento de fútbol de la categoría sub-15 de la Liga Cantonal de Durán, a su vez esta guía también fue dirigida a los 16 futbolistas para su respectiva evaluación de los fundamentos técnicos del pase y tiro al arco en el fútbol, determinando que existen dificultades en el uso de estrategias metodológicas y un bajo nivel de enseñanza en los entrenadores y falencias de acuerdo a la técnica del pase y tiro al arco en los futbolistas. Por tanto, se presenta propuesta, el diseño de un programa de ejercicios específicos para contribuir el mejoramiento de los fundamentos técnicos del pase y tiro al arco en el fútbol, permitiendo mejorar el rendimiento técnico y el resultado deportivo de los futbolistas.
Alternativa metodológica para la formación histórico-deportiva de los taekwondistas pioneriles
Authors: Pérez Hernández Esteban Juan , Bruceta Serrano Octavio Jesús
Published: November 2024

Este trabajo surge por la necesidad de ofrecer una respuesta, a las limitaciones teórico – metodológicas, que presentan los entrenadores para la dirección del proceso de formación histórico-deportiva de los taekwondistas pioneriles, aspecto éste de significativa importancia en la preparación integral de los taekwondistas durante su formación inicial. Se implemento y evaluó mediante un un pre experimento en el contexto formativo del entrenamiento de los taekwondistas pioneriles, evidenciándose en la comparación realizada entre la pre prueba y la pos prueba que se producen cambios significativos en la formación histórico deportiva de los taekwondistas pioneriles que demuestran la funcionalidad de la alternativa implementada.
Cultura Física para la formación integral en estudiantes universitarios: un enfoque constructivista crítico
Authors: Hinostroza Carriel Edgar , Smith Morán Mirian , Hinostroza Carriel José
Published: November 2024

El objetivo de este estudio es examinar a fondo cómo la cultura física influye el desarrollo general de los estudiantes universitarios mientras se utiliza un enfoque constructivista crítico para romper la licenciatura educativas convencionales. Para abordar esta interrogante se realizó un estudio cuantitativo con un enfoque descriptivo correlacional, incluyendo una muestra de 1000 estudiantes matriculados en la Universidad de Guayaquil.
Los resultados de este estudio demuestran claramente que la cultura física que tiene una influencia significativamente positiva en el desarrollo general de los estudiantes universitarios de pregrado. Esta afirmación está respaldada por la observación de mejoras considerables en los participantes, en las dimensiones física, cognitiva, emocional y social, dimensiones emocionales y sociales desde el punto de vista físico, hay una progreso en la salud y condición física de los estudiantes que participan activamente en actividades relacionadas con la cultura física.
Desde el punto de vista cognitivo, los estudiantes que incorporan la cultura física en su rutina diaria muestran una avance en la capacidad de concentración y rendimiento académico. En términos de bienestar emocional, la participación en actividades de cultura física se asocia con una mayor satisfacción general de los estudiantes, lo que sugiere que la actividad física beneficia el bienestar emocional.
Es importante señalar que los estudiantes que participan en actividades de cultura física experimentan niveles mucho más bajos de estrés en comparación con los que no lo hacen, la cultura física puede servir como una herramienta para el manejo del estrés, lo que a su vez ayuda a lograr un mejor equilibrio entre exigencias académicas y presiones emocionales. 
Los hallazgos de este estudio respaldan la importancia de incorporar la cultura física en el entorno universitario a partir de las perspectiva crítica constructivista. El enfoque no solo mejora la educación general de los estudiantes, sino que también fortalece su bienestar físico y emocional al tiempo que fomenta la reflexión crítica sobre el interacciones entre la actividad física y la vida estudiantil en su conjunto.
Efectos de un sistema de ejercicios en la mejora de la tecnica de la palada en kayakistas juveniles
Authors: Gutiérrez Cruz Ph.D. Manuel , León Pajuña Gerson Daniel , Quinde Choez Jomayra Elizabet , Rondan Elizalde Manuel de Jesús
Published: November 2024

La presente investigación aborda la incidencia de un sistema de ejercicios en el mejoramiento de la palada en canoistas de la Federación de Canotaje del Ecuador, el objetivo es demostrar la efectividad del sistema de ejercicios para el mejoramiento de la técnica de la palada en los deportistas de la categoría junior y senior. La investigación es de modalidad experimental, con un diseño preexperimental de enfoque cuantitativo, con un solo grupo (N=12) de población. El sistema de ejercicio tiene una estructura de tres etapas que consisten en: planificación, implementación, control y evaluación de los ejercicios; la cual, se sustenta en los métodos de la medición con la aplicación del test de ejecución estática, técnica de la palada y la prueba de velocidad de 50 metros en la canoa. Los resultados se corroboraron con la aplicación de las pruebas de hipótesis de los rangos con signos de Wilcoxon y la prueba T student las que por los niveles de significación demostraron las diferencias favorables entre las dos mediciones (preprueba y posprueba).
Otimização dos processos de phase-in e política de estoques para bombas de pré-tratamento na produção de E2G em uma indústria sucroalcooleira no estado de São Paulo.
Authors: Monteiro Gabriela , Carraro Nilton Cezar
Published: November 2024

Estratégias equivocadas de gestão de estoques podem causar grandes prejuízos. Na indústria sucroalcooleira, as paradas de produção são extremamente onerosas, tanto pela perda em si quanto pelos contratos com quantidades e prazos definidos. O Etanol de Segunda Geração, ou Etanol Verde, demanda um grande parque industrial com equipamentos de grande porte, como as bombas de pré-tratamento. Assim, o planejamento de aquisições é crucial, e os processos de phase-in, conforme a literatura, ajudam a mitigar o problema, analisando a criticidade e disponibilidade para a compra, evitando perdas e melhorando a gestão de custos operacionais. Este trabalho teve como objetivo analisar processos de phase-in e avaliar políticas de gestão de estoques para bombas de pré-tratamento na produção de etanol de segunda geração, visando reduzir custos e aumentar a eficiência operacional da indústria. Foi utilizada uma metodologia integrada, combinando pesquisa descritiva e exploratória, com análise documental interna e entrevistas não estruturadas. Os resultados mostram que a centralização de peças com alto lead time e valor elevado tem sido eficaz na redução de stockouts e na otimização dos recursos financeiros. A adoção de técnicas preditivas, como o Single Demand Approach, melhorou a precisão das previsões de demanda e a gestão de estoques, resultando em operações mais eficazes. Os dados confirmam a importância de estratégias bem definidas e adaptadas às necessidades específicas da indústria sucroalcooleira.
Best practices for radiation safety in radiography departments: Review
Authors: Al Owias Meshal Ibrahim Zaid , Alhejaili Abdullah Raja , Alyehya Abeer Ali , Alhejaili Salman Eid Fadhi , Alanezi Bader Sayah , Alanazi Hamad Huran F , Alraddadii Abdlraheem Salem , Al Ahmadi Sultan Abdulaziz Muhanna‏ , Almughathawi Abdulaziz Salman , Alsuhaymi Fahad Ghali
Published: November 2024

This review analyzes radiation exposure risks for healthcare professionals, specifically targeting anesthesia providers and nurses operating in high-radiation settings such as operating rooms and interventional radiology suites. The document outlines sources of radiation exposure, such as mobile radiography, fluoroscopy, and CT scans, emphasizing the cumulative effects of low-dose radiation. Concerns related to radiation exposure in pregnancy are examined, highlighting regulatory guidelines and the necessity of reducing fetal exposure. The review examines factors that affect occupational exposure, distinguishing between modifiable factors, such as procedural techniques and positioning, and non-modifiable factors, including patient size and procedure complexity. The significance of personal dosimeters, such as film badges and optically stimulated luminescent dosimeters (OSLDs), in the monitoring of radiation levels is highlighted, as is the necessity for correct usage and interpretation of dosimeter readings. This paper examines the effects of radiation exposure on nursing and biochemistry, highlighting the necessity for thorough radiation safety training for nurses and the role of biochemists in elucidating cellular responses to radiation and formulating mitigation strategies. The conclusion emphasizes the necessity of proactive monitoring, implementation of effective protective measures, and ongoing education to reduce radiation exposure and protect healthcare workers.
Integración de Sistemas Socio ecológicos y Circuitos Cortos de Comercialización en la Economía Solidaria: Similitudes, Diferencias y Principios Fundamentaless
Authors: Gómez-Rodríguez Dustin Tahisin , Barbosa Pérez Ehyder Mario
Published: November 2024

Antecedentes: Los diálogos entre los circuitos cortos de comercialización en la economía solidaria y los sistemas socio ecológicos, integrando los principios de las ciencias de la sostenibilidad conciben una comprensión más profunda de cómo estas prácticas pueden contribuir al desarrollo sostenible y la resiliencia. Metodología: La metodología empleada es de naturaleza cualitativa y se divide en dos fases. Inicialmente, se aplican ecuaciones de búsqueda de categorías analíticas, seguidas por una revisión documental basada en matrices. Resultados:  La integración entre Circuitos cortos de comercialización y los sistemas socio ecológicos proporciona un marco holístico que reconoce la intrínseca interconexión entre los aspectos sociales, económicos y ecológicos, siendo esencial para abordar de manera efectiva los desafíos contemporáneos y construir sistemas socioeconómicos resilientes. Conclusión: La conclusión más relevante obtenida es que la integración entre circuitos cortos de comercialización en la economía solidaria y sistemas socio ecológicos, desde la perspectiva de las ciencias de la sostenibilidad, emerge como un enfoque crucial para generar desarrollo rural.
Percepção dos professores do ensino fundamental e médio acerca da educação ambiental em escolas públicas de Quirinópolis, Goiás, Brasil
Authors: Moraes Fernanda Rosa , Morais Isa Lucia de
Published: November 2024

Os professores têm um papel importante no processo de formação dos cidadãos enquanto seres ambientalmente conscientes e ativos na conservação e uso dos recursos naturais. Neste contexto, o objetivo do presente estudo foi analisar a percepção dos professores do Ensino Fundamental e Médio das escolas públicas do município de Quirinópolis, Goiás, acerca da Educação Ambiental (EA). A pesquisa foi realizada em trezes escolas e envolveu 41 professores. Na primeira fase da pesquisa foi aplicado o questionário para os professores, dos quais treze manifestaram interesse em participar da segunda fase da pesquisa, que foi dividida em quatro etapas. A primeira etapa abordou a sensibilização acerca da EA. Na segunda foram tratados assuntos referentes ao Projeto Político Pedagógico (PPP) das instituições de ensino e a obrigatoriedade da inserção de projetos que abordem temas transversais no PPP. Nas terceira e quarta etapas foram realizados uma vivência em uma trilha ecológica no Jardim Botânico da Universidade Estadual de Goiás e fabricados materiais que poderão ser usados na sala de aula. Ao final, cada instituição de ensino apresentou um projeto relacionado à EA para ser inserido no PPP da escola e desenvolvido no ano de 2024. As limitações dos professores em trabalhar temas relacionados à EA estão associados à ausência de projetos interdisciplinares previstos nos documentos norteadores das escolas (PPP) voltados para a temática, à existência de um extenso currículo escolar a ser cumprido, à falta de recursos financeiros e de formação específica.
Desenvolvimento de instrumentos para monitorização ambulatorial da pressão arterial e glicemia capilar
Authors: Gomes Andréia Pereira dos Santos , Borges Layla Valéria Araújo , Brito Irisdalva França Soares , Pereira Tatiana Menezes , Sousa Ivy Veras de , Lima João Paulo de Morais , Almeida Rosângela Nunes , Câmara Joseneide Teixeira , Moura Maria Edileuza Soares
Published: November 2024

A padronização de um instrumento é fundamental na assistência em saúde, seja para o monitoramento ou para o diagnóstico de uma patologia. O estudo objetivou desenvolver instrumentos para o monitoramento de rotina e acompanhamento diagnóstico dos pacientes com Hipertensão Arterial Sistêmica e/ou Diabetes mellitus na Atenção Primária à Saúde. A pesquisa ocorreu dentro do ambiente da Unidade Básica de Saúde do Bom Jesus, município de Caxias-MA, em parceria com o Programa de Residência Multiprofissional em Saúde da Família da Universidade Estadual do Maranhão. Foram observados 22 pacientes, sendo estes divididos em: acompanhamento de controle e suspeita diagnóstica. Para a realização desse monitoramento utilizaram-se modelos desenvolvidos previamente e adaptados conforme as necessidades clínicas observadas. Contou-se também com a participação de 6 profissionais de saúde, das categorias médica e de enfermagem, paritariamente distribuídos, para avaliarem e darem sugestões durante o processo de criação dos instrumentos. Os instrumentos possuem um cabeçalho para o preenchimento das informações pessoais e o objetivo do monitoramento; as orientações e instruções para o seu preenchimento correto; uma tabela com o dia, mês e ano em que foram realizadas as avaliações; local para as anotações adicionais, o profissional responsável e função, e a unidade de saúde onde foi realizado o mapeamento. Para o monitoramento da pressão arterial foi construído dois instrumentos, o 1º usa como parâmetro o braço com o maior valor da pressão arterial para as avaliações subsequentes, já o 2º utiliza a média das duas últimas leituras da pressão arterial. Para a avaliação da glicemia capilar os parâmetros utilizados são: em jejum, nos períodos pré-prandiais, 2h após as refeições e ao deitar. Dessa forma, o presente estudo destacou a necessidade em definir um processo de trabalho na rotina de atendimentos dos indivíduos com Hipertensão Arterial Sistêmica e/ou Diabetes mellitus, ressaltando a importância da padronização de instrumentos para o mapeamento da pressão arterial e glicemia capilar dentro da assistência em saúde, a fim de se qualificar o acompanhamento e monitoramento de rotina dessa população.
O Direito dos pacientes portadores de doenças raras no Brasil e dificuldades encontradas do diagnóstico ao tratamento
Authors: Ribeiro Leonardo Coelho , Büttenbender Pedro Luís
Published: November 2024

O presente artigo retrata a difícil realidade que os pacientes portadores de doenças raras no Brasil vem enfrentando, como consequência da falta de efetividade de políticas públicas capazes de promover a integralidade e a completude das demandas sociais sanitárias quando a tônica é as doenças raras, e trazer uma reflexão sobre a complexidade tanto do poder público como da iniciativa privada em garantir um sistema de saúde eficiente e capaz de atender esse público existente, pelos diversos fatores que essa pesquisa pretende descrever, numa análise crítica descritiva, qualitativa e bibliográfica, sem o intuito de esgotar o assunto, uma vez que trata de um tema interdisciplinar, com reflexos no social, no jurídico e político, e no econômico. Apesar de se configurar como um grande desafio, o trabalho conclui que não apenas a prestação de serviços de saúde aos pacientes de doenças raras é devido aos fatores econômicos mas também pelos escassos projetos políticos existentes e em andamento; a regulação caminha a passos lentos, mesmo diante deste grave problema social, e demonstra a falta de empatia política para a criação, fomento e implementação de políticas públicas a fim de uma melhorar o atendimento aos portadores de doenças raras, e garantir uma maior proteção ao direito à saúde e a vida, e à dignidade da pessoa humana.
Use of Disinfectants and Cleaning Products Associated with Respiratory Disease: A Scoping Review
Authors: García Quinto Paula Andrea , Hernández Rincón Erwin Hernando , Pérez Flórez Juan Miguel , Díaz Quijano Diana Marcela , Jaimez Peñuela Claudia Liliana
Published: November 2024

Introduction: there is extensive evidence on the harmful respiratory effects of exposure to disinfectants and cleaning products. Methodology: an exploratory systematic review was carried out in five databases: LILACS, PubMed, MEDLINE and BIREME. Twenty articles from 2013 to 2024 were selected for the present review. Results: chemical compounds present in some disinfectants and cleaning products such as Polyhexamethylene guanidine (PHMG) and Chloromethylisothiazolinone/Methylisothiazolinone (CMIT/MIT) influence the development of Humidifier Respiratory Distress Syndrome (HDRS) and increased incidence of asthma and Chronic Obstructive Pulmonary Disease (COPD) in adults. Conclusions: There is a relationship between exposure to chemical compounds in certain disinfectants and lung health impairment. It is imperative to increase the general population’s awareness of the effects of these substances will lead to improved self-care in those who are in daily contact with these elements.
The Application of the Myers-Briggs Type Indicator to Human Resource Management System in China
Authors: Fa Zhongyi
Published: November 2024

Abstract: The Myers-Briggs Type Indicator has long been an important personality assessment instrument in human resource management. It helps managers to recruit employees, assign tasks, build employee relations and measure performance. With the economic reform and opening-up policy that accelerated worldwide coordination, it was introduced in China. The study, taking a literature review approach and comparative approach, aims to explore how the Myers-Briggs Type Indicator is used in Chinas human resource management system. And through the analysis of the development and status of Chinas human resource management, and the comparison with Self-directed Search and Big Five Personality Theory, to see if there is room for improvement in its use in the future. The result shows that most of the research and use of the Myers-Briggs Type Indicator in China is about recruiting. It can be developed in team building and performance evaluation in the future, like The Big Five Personality Theory. And also in assigning tasks.
Liberalism in Dialogue: Carl Schmitts Critique and Masao Maruyamas Defense
Authors: Xia Yidan
Published: November 2024

Abstract: Carl Schmitt criticized liberalism by asserting that it negates politics and leads to a crisis of parliamentary democracy. Through his theories on the concept of the political and sovereign decision-making, Schmitt provided a deep analysis of these issues. Masao Maruyama not only highly valued Schmitts work but also theoretically borrowed from his ideas. However, Maruyama placed individual subjectivity at the core of his analysis, using Japans traditional culture and unique historical and social context as his focus. In doing so, Masao Maruyama both supplemented and, in some aspects, refuted Schmitts critique of liberalism. For Schmitt, the survival and integrity of the political entity are paramount, necessitating a clear distinction between friends and enemies. His critique of liberalism centers not only on its moral neutrality but also on its perceived incapacity to make sovereign decisions that guarantee the preservation of the political entity. In contrast, Maruyama contended that Japanese imperialism elevated the state as the embodiment of the True, the Good, and the Beautiful, thereby positioning it as a value-laden entity, creating a metaphysical order seemingly justified by the imperative of national survival. Although this might initially appear to align with Schmitts notion of the states primacy, Maruyama ultimately critiques this belief as an ideological facade, which devolved into a mere instrument of totalitarian rule.
Analysis of the Current Problems and Improvement Methods of Kun Opera Teaching
Authors: Xu Manting
Published: November 2024

Abstract: Chinese opera revival has been advocated for many decades. There are some measures that can prove that, for example: Teaching textbooks always include units with the theme of Chinese opera. Many universities in China have recruited opera major students who are subsidized by the government. In this context, young people as the main power, still prefer to enjoy popular music like Jazz, rap, and ballads than Chinese opera. This article analyzes the factors that make Kun opera unpopular among young people, the existing problems in teaching Kun opera, the necessity of developing new methods for teaching Kun opera. This article has adopted questionnaire survey and observation method to analyze the reasons that make Kun opera unpopular among young people, the problems in teaching Kun opera and the importance of expanding new methods in Kun opera. It finds that most of the existing teaching methods are vocal teaching, which is difficult to study by students. Dependent on multimedia playback data, it is realized that the formal of Guzheng and Guqin in reediting Kun opera is more popular among the public. Guzheng has absolute advantages in multiple dimensions. These all reflect the importance of adding instrumental music to Kun opera teaching. This article advocates teachers to use new methods in teaching Kun opera that are more acceptable to young people. Teachers also use instrumental methods to let students feel changes in the music more intuitively and simply.
Exploring the Influencing Factors of the Syntactic Priming Effect in French Learners
Authors: Shangguan Fanyu
Published: November 2024

Abstract: The syntactic priming effect, a prevalent and common linguistic phenomenon, has captured the keen interest of scholars within the realm of second language acquisition, leading to a wealth of insightful research findings. This study focuses on the syntactic priming effect specifically observed in learners of French as a second language. It meticulously reviews the research paradigms frequently adopted in prior experiments and consolidates the influencing factors of the French syntactic priming effect into two primary categories: internal learner factors and external linguistic factors. By scrutinizing these factors, the study uncovers the intricacies that shape the priming effect in French language learning. Furthermore, it pinpoints the limitations inherent in current research endeavors and proposes avenues for future investigations. The ultimate goal of this study is to offer some valuable insights that can help teachers to adapt their teaching methods and enhance French language teaching practices, fostering more effective learning outcomes for students.
Research on Equity in Early Childhood Education in Western China: A Case Study of Sichuan Province
Authors: Shi Renyue
Published: November 2024

Abstract: This article investigates the issue of equity in early childhood education in Western China through interviews with ten kindergarten principals from the region. The study reveals several factors impacting educational fairness, including a vague understanding of the concept of educational equity, a lack of equitable practices in education, and the inability to ensure equal educational opportunities. Furthermore, the region faces a severe shortage of early childhood educational resources, instability within the teaching staff, difficulty in maintaining educational quality, and a lack of communication and cooperation among kindergartens. These issues contribute significantly to the imbalance of educational opportunities, severely affecting the normal development of children and the overall quality of preschool education. To address these challenges, the article recommends enhancing policy support to improve resource allocation and optimization, increasing professional training and compensation for teachers to strengthen the practice of equity in education, and raising societal awareness about the importance of educational equity. These measures are crucial for promoting equitable and high-quality education for every child in Western China, ensuring that all children have access to equal and quality educational opportunities.
The Media Image Construction of Chinese Female Athletes on the Weibo Platform from the Perspective of Self-shaping and Other-shaping
Authors: Zhao Mingjia
Published: November 2024

Abstract: The portrayal of public figures, especially female athletes, has undergone quite a bit of transformation due to social media and internet news platforms growing rapidly over the past years. This paper mainly analyzes the Weibo image construction of female Chinese athletes from the two perspectives: self-shaping and other-shaping. Three famous athletes are chosen for this study: Zhang Yufei, Wu Yanni, and Li Wenwen, who have each gained more than a million followers on Weibo. By doing text analysis and case studies, the focus here is placed on how athletes manage their public images and also how media and public reactions shape those images. The findings talk about the main reasons why self-shaping images and other-shaping images show differences, including things like cultural influence and gender roles, as well as the fewer female examples available in sports. This paper may offer some references for people who need to maintain their images in public.
UAV Detection using Convolutional Neural Networks and Radio Frequency Data
Authors: Chen Jiangren
Published: November 2024

Unmanned Aerial Vehicles (UAVs) are increasingly seen as significant threats to both civilian and military installations, highlighting the need for effective UAV detection systems. Among the various detection methods proposed, passive radio frequency sensing has proven particularly effective. In this study, we utilized an open radio frequency dataset to explore the use of Convolutional Neural Networks (CNNs) for UAV detection. Our comparison with traditional machine learning models, such as random forest, AdaBoost, and XGBoost, demonstrates that CNNs offer superior performance. Specifically, CNNs achieved impressive accuracy rates: 99.93% for detecting UAVs, 93.30% for classifying UAV types, and 76.43% for categorizing UAV modes. These results underscore the potential of CNNs as a powerful tool for UAV detection and classification.
Remote sensing image scene recognition using MobileNet
Authors: Sun Yadong , Zhao Wenjie , Liu Jiawen
Published: November 2024

Abstract. Remote sensing image scene recognition plays a pivotal role in various applications, including environmental monitoring, disaster response, urban planning, precision agriculture, and aids in resource management and policy formulation. However, utilizing established convolutional neural networks(CNNs) models like AlexNet and VGG9 for this task can be computationally intensive and time-consuming due to their extensive parameter requirements. This dissertation introduces a MobileNet-based CNN optimized for remote sensing image scene recognition. This lightweight model significantly reduces computational load and model size without compromising accuracy, thereby enhancing efficiency. Empirical results on the NWPU45 dataset demonstrate MobileNet's superiority, achieving an accuracy of 91.16%, a Kappa coefficient of 90.96%, and an F1 score of 91.16% on the test set. Moreover, MobileNet's compact architecture, with merely 3.2531 million parameters and 587.9342 million FLOPs, underscores its efficiency and makes it a promising candidate for practical deployment in remote sensing applications. The findings suggest that MobileNet not only addresses the challenge of computational intensity but also opens new avenues for advancing scene recognition technology in the field of remote sensing.
Enhancing stability and explainability in reinforcement learning with machine learning
Authors: Chen Yinhe
Published: November 2024

Abstract. In the field of reinforcement learning, training agents using machine learning algorithms to learn and perform tasks in complex environments has become a prevalent approach. However, reinforcement learning faces challenges such as training instability and decision opacity, which limit its feasibility in real-world applications. To solve the problems of stability and transparency in reinforcement learning, this project will use advanced algorithms like Proximal Policy Optimization (PPO), Q-DAGGER, and Gradient Boosting Decision Trees to set up reinforcement learning agents in the OpenAI Gymnasium environment. Specifically, the study selected the Atari game Breakout as the testbed, enhancing training efficiency and game performance by refining reward structures and decision-making processes, and integrating interpretable models to provide explanations for agent decisions. This study has successfully developed robust reinforcement learning agents that excel in complex environments. By employing advanced algorithms like PPO, Q-DAGGER, and Gradient Boosting Decision Trees, the study has addressed issues of training instability, and improved game performance through optimized reward structures and decision processes. Additionally, by integrating interpretable models, the study has provided insights into the learned strategies of the agents, thereby enhancing decision transparency. These findings provide crucial support for the broader application of reinforcement learning in real-world scenarios and offer valuable insights for tackling other complex tasks.
Design and comparative analysis of motor position control based on traditional PID controller and fuzzy PID controller
Authors: Gao Xiangrui
Published: November 2024

Abstract. Using the PID algorithm to control electrical elements is a practical industrial application that have been studied for decades. This paper constructs a study on the difference between BLDC motor control and applying traditional PID and fuzzy PID. The simulation is done through Falstad and Matlab/Simulink. The math model of the transfer function of a BLDC motor is constructed by analyzing voltage and torque equilibrium. The parameters are determined approximately by looking up the datasheet of 2338 0006s. Then, Falstad establishes the operational amplifier model of the BLDC motor and traditional PID controller. The parameters are determined through both root locus and step response presented by Falstads scope. Next, Simulink is used to realize the fuzzy PID controller. The comparison study of traditional PID controller and fuzzy PID controller is constructed by looking at the scope and export data. After that, it is concluded that fuzzy PID controller performs better than traditional PID controller, it is robust and the influence of the input parameter is small. Finally, a lead lag compensator is applied to the whole system to improve the performance in the frequency domain.
Design of high voltage power supply for SINEW mask
Authors: Tian Yusen
Published: November 2024

Abstract. Electrostatic Precipitation (ESP) is an effective method of removing particulates from the air. It is currently used in many large-scale industrial applications but sees little to no use in smaller-scale use-cases due to the difficulty of generating high voltage in small packages and safety concerns. This paper presents the motivation, design, and evaluation of a miniature DC high voltage (HVDC) power supply for application in small-scale ESP systems. The power supply's potential for portable ESP application is tested on The Smart, Individualized, Noncontact, Extended-Wear (SINEW) mask. The results show that the power supply operates with acceptable efficiency and generates the necessary high voltages and power necessary to drive ESP even on non-optimized geometries.
Application of convolutional neural networks in image classification and applications of improved convolutional neural networks
Authors: Liu Taoyu
Published: November 2024

Abstract. This paper reviews the application and improvement of convolutional neural networks (CNNs) in image classification. Firstly, a shallow CNN for interstitial lung disease image classification is presented. This model suppresses overfitting through a unique network architecture and optimisation algorithm. Next, the improved VGG16 architecture and MIDNet18 model are discussed and their superior performance in brain tumour image classification is demonstrated. Subsequently, a CNN-CapsNet model for cervical cancer image classification and its improvement are presented and the customised model is compared with the conventional VGG-16 CNN architecture in the paper. Next, the application of sparse convolutional kernels and hybrid sparse convolutional kernels (HDCs) in solving the problem of computational resource consumption is presented. Subsequently, methods for solving the problem of limited training data through transfer learning and network data augmentation techniques are discussed, as well as GAN-generated datasets for solving the overfitting problem. Finally, the effect of degraded images on the classification effectiveness of CNNs is explored. The results show that the improved CNN architecture and algorithms have significant effects in solving the problems of overfitting and computational resource consumption, and can significantly improve the accuracy and efficiency of image classification. And degraded images do adversely affect the accuracy of CNN for image classification.
Route planning and obstacle avoidance using Q-Learning in MATLAB
Authors: Lu Kaiyuan
Published: November 2024

Abstract. Recently, autonomous navigation has become important for many applications like self-driving cars, delivery drones, and robots. These domains are typically characterized by issues in planning an efficient route and object avoidance. Therefore, the paper describes work that utilizes Q-Learning as a means of reinforcement learning for autonomous navigation in terrain based on grid representations. Q-Learning allows an agent to acquire optimal signals in terms of strategy without the need for awareness of the surrounding environment. MATLAB was employed for the construction of the Q-Learning algorithm, as it was necessary to execute, evaluate, and simulate the algorithm in a controlled setting. In this study, the agent was tested in other environments of varying sizes (1010, 1515, and 2020) populated with randomly generated obstacles. Benchmark values such as average path length, number of collisions and convergence speed were observed as a measure of the agents performance. The analysis of the values obtained confirms that the agent is able to capture the shortest path from the starting point to the goal while avoiding the obstacles. Q-Learning is found to be flexible and effective in solving the presented navigation problems in this research. The future work would include the enhancement of the efficiency of the algorithm along with the applying of the system in dynamic and more complex scenarios, in order to solve practical problems.
Design and implementation of wireless power transfer device
Authors: Zhong Zhenze
Published: November 2024

Abstract. Magnetic coupled resonant radio energy transmission (WPT) technology utilizes the coupling of the magnetic fields of the transmitting and receiving coils and wirelessly transmits energy through electromagnetic induction, greatly expanding the applications of power equipment in special environments. The technology uses the magnetic field coupling between the transmitting coil and the receiving coil to realize the wireless transmission of energy through electromagnetic induction. This method breaks the limitation of traditional wire transmission and greatly expands the application potential of power equipment in various special environments. In this paper, an efficient, stable and long-distance wireless charging device is designed and realized. In order to improve transmission efficiency, two-coil configuration with series-series structure is adopted, and its equivalent circuit model is established by circuit theory and Kirchhoff's law. Therefore, a new radio energy transmission device based on single chip microcomputer is designed, including PWM signal generator, level matching circuit, high frequency inverter circuit and other key parts. Expressions for transmission efficiency and output power are derived from equation analysis and power-on experiments performed on a physical device. In addition, the effects of transmission frequency, load impedance and transmission distance on the performance are investigated.
A study of short-term passenger flow forecasting for public transportation based on the time series method
Authors: Meng Guiyang
Published: November 2024

Abstract. In order to solve the conflicts between the supply and demand of urban transport, improve the living standard of urban residents, raise the level of urbanization, and promote the sustainable socio-economic development of the whole city, it is necessary to increase the pace of urban transport construction, planning and management in China. And at the same time, its necessary to take various measures to regulate the structure of urban transport and guide urban transport to develop in the direction of taking public transport as the mainstay. The experience of the development of urban transportation in China and abroad also proves that prioritizing the development of public transportation is the fundamental way to solve the problem of urban transportation. Public transport passenger flow data is the basis for optimizing public transport operations and scheduling. Accurate passenger flow forecasts on public transport routes can effectively guide public transport operation decisions, formulate operation scheduling plans and effectively improve the operational efficiency of the public transport system. The following are some of the key factors that can be taken into consideration when making passenger flow forecasts. The main contribution of this article is to propose the use of data mining technology, use bus IC card data and bus GPS data to integrate and organize them, conduct correlation analysis on the data, and on this basis, obtain the main distribution characteristics of bus passenger flow, and provide short-term Passenger flow forecast provides relevant ideas.
Optimizing turning logic of glass curtain wall cleaning robot
Authors: Feng Qilun
Published: November 2024

Abstract. In contemporary urban environments, there has been a notable increase in the construction of high-rise edifices with glass curtain walls. While glass curtain walls contribute to the aesthetic appeal of buildings, they also give rise to a number of challenges. In recent decades, cleaning robots have been developed to address the issue of maintaining glass curtain walls. However, the challenge of efficiently avoiding obstacles and gaps on the glass curtain remains. The research aims to optimize the trajectory of glass curtain wall cleaning robots. A series of simulations were conducted using MATLAB 2024b and the RobotCraft Robotics Playgrounds add-on. The robot is required to traverse a defined maze, which features a 90-degree turn. The time required for each operational logic to traverse the entire route from the initial point to the final destination has been meticulously documented. The results of these simulations are compared in a chart in order to identify a logic that will result in a faster average speed for the robot. The initial experiment yielded results indicating that the turning is excessively sharp and rigid. Accordingly, the distance detection has been increased in the subsequent iteration to facilitate an earlier turning point. Moreover, an increase in the rotational speed of the motor on the corresponding side was implemented to expand the turning radius, thereby facilitating a more seamless and fluid rotation. In essence, the robot has been optimized to achieve a balance between spatial utilization and high average speed. The refinement of the turning path has been shown to enhance the overall cleaning efficiency while maintaining an exceptional ability to avoid obstacles.
Enhancing Movie Recommendation Systems Through CNN-Based Feature Extraction and Optimized Collaborative Filtering
Authors: Guo Rui
Published: November 2024

Abstract. This paper presents the design and implementation of a movie recommendation model that combines collaborative filtering with Convolutional Neural Networks (CNNs) to tackle the challenge of information overload in extensive movie databases. The primary objective is to enhance the user experience by developing an efficient and personalized recommendation system. The proposed model integrates CNNs to extract detailed image features from movie posters, enriching the movie representations used in the recommendation process. This feature extraction is coupled with an optimized collaborative filtering algorithm to deliver more accurate and tailored movie suggestions. The study is based on a dataset that includes movie information, user ratings, and user behavior data. Experimental results demonstrate that the proposed model significantly improves the accuracy and personalization of movie recommendations, thereby offering users a superior selection experience. The practical implications of this research are substantial, as it has the potential to boost user satisfaction and engagement on movie recommendation platforms. Future work will focus on further enhancing the model by incorporating long-term user behavior patterns and integrating multi-modal data sources for even more precise recommendations.
The Application of PID Control in DC Motor Control Systems
Authors: Chen Jifan
Published: November 2024

Abstract. The application of Proportional-Integral-Derivative (PID) control in direct current (DC) motor control systems is essential for achieving high levels of precision and reliability in both industrial and robotic applications. As DC motors are widely utilized in environments requiring accurate speed and torque control, this study seeks to address common challenges such as overshoot, instability, and sluggish response times that can compromise performance. The research is centered on the development and implementation of a PID-based control strategy using MATLAB/Simulink as the primary tool for simulation and testing. The study involves detailed simulation models and experimental validation, using data collected from controlled lab environments to evaluate the effectiveness of various tuning methods. These methods include adjusting the proportional, integral, and derivative gains to optimize motor responsiveness and system stability. The results indicate that with appropriate tuning, PID controllers can significantly enhance DC motor performance, leading to reduced overshoot, faster response times, and greater overall system reliability. The research concludes that adaptive PID control strategies, which dynamically adjust parameters in response to changing operating conditions, provide a robust solution for improving DC motor control in complex, dynamic, and nonlinear environments. This study lays the groundwork for future innovations in automation and precision-driven industries, offering insights that could be applied across a wide range of applications.
A Magnetic Climbing Robot for Steel Bridge Inspection
Authors: Zhou Shengyang
Published: November 2024

Abstract. The maintenance of traditional steel bridges presents many significant challenges due to the fact that bridges of different ages and standards vary in design, structural complexity and technical difficulty. In light of these considerations, it is clear that maintenance personnel must possess a wealth of professional expertise and experience in order to effectively address the diverse and intricate maintenance challenges that arise. Moreover, the maintenance process entails high-risk operations such as high-altitude work and welding, which pose a threat to the safety of construction personnel. Therefore, this study introduces a magnetic adsorption robot designed to address the low efficiency and high costs of traditional maintenance methods. This robot features a dual robotic arm mechanism and modeled using the Denavit Hartenberg (D-H) parameter method. Electromagnetic adsorption is utilized to achieve wall adhesion, and direct power supply is provided through DC power to control weight. The robot can perform flexible remote control operations through the HC-05 Bluetooth module. The experimental results show that the robot exhibits robust adhesion and obstacle crossing ability on steel surfaces, thereby enabling unimpeded movement within the steel structure. In addition, the robot is now capable of performing overhaul procedures via remote control.