Portal de Periódicos da Univali (Universidade do Vale do Itajaí)
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A RELEVÂNCIA DA ARBITRAGEM DE CONSUMO NA CONCRETIZAÇÃO DO ACESSO À JUSTIÇA EM PORTUGAL
Full text linkContextualization: Litigation and the judicialisation of disputes are constantly on the rise in most latitudes, and Portugal is no exception. However, there are some cases which, due to their characteristics, would never be brought before the ordinary courts, such as small claims consumer disputes.
Objectives: This study aims to assess the state of implementation of access to justice in Portugal, specifically in consumer disputes, namely by comparing ordinary jurisdiction with arbitration.
Method: The methodology employed was based on an exploratory matrix using the dialectical method. A bibliographical, legal and jurisprudential analysis was carried out on access to justice in the area of consumer arbitration in order to be able to densify and substantiate the final position adopted.
Results: The research was based on the inductive method and the inductive logic was used to report the results. At the end of our study, we found that arbitration in the field of consumer law has contributed to making access to justice more effective, proposing some measures that could further increase this effectiveness.Contextualización: Los litigios y la judicialización de los conflictos están en constante aumento en la mayoría de las latitudes, y Portugal no es una excepción. Existen, sin embargo, algunos casos que, por sus características, nunca llegarían a los tribunales ordinarios, como los litigios de consumo de escasa cuantía.
Objetivos: Este estudio pretende evaluar el estado de realización del acceso a la justicia en Portugal, concretamente en los litigios de consumo, concretamente comparando la jurisdicción ordinaria con el arbitraje.
Método: La metodología empleada se basó en una matriz exploratoria utilizando el método dialéctico. Se realizó un análisis bibliográfico, legal y jurisprudencial sobre el acceso a la justicia en el ámbito del arbitraje de consumo para poder densificar y fundamentar la posición final adoptada.
Resultados: La investigación se basó en el método inductivo y se utilizó la lógica inductiva para presentar los resultados. Al final de nuestro estudio, constatamos que el arbitraje en el ámbito del derecho del consumo ha contribuido a hacer más eficaz el acceso a la justicia, proponiendo algunas medidas que podrían aumentar aún más esta eficacia.Contextualização: A litigiosidade e a judicialização dos diferendos apresenta tendências crescentes constantes na generalidade de latitudes e Portugal não é uma exceção. Existem, no entanto, algumas causas que pelas quais suas caraterísticas nunca seriam levadas perante a jurisdição ordinária, nomeadamente processo de consumo de pequenos valores.
Objetivos: O presente estudo pretende avaliar o estado da concretizaçãodo acesso à justiça em Portugal especificamente em diferendos de consumo, nomeadamente comparando a jurisdição ordinária com a arbitragem.
Método: A metodologia empregada foi baseada numa matriz exploratória por via do método dialético. Foi realizada a análise bibliográfica, legal e jurisprudencial sobre o aceso à justiça na vertente da arbitragem de consumo por forma a poder densificar e fundamentar o posicionamento final adotado.
Resultados: A investigação baseou-se no método indutivo e no relatório dos resultados foi empregada a base lógica indutiva. No final do nosso estudo verificamos que a arbitragem no âmbito do direito do consumo tem contribuído à efetivação do acesso à justiça, propondo algumas medidas que poderiam ampliar ainda mais tal efetivação
Desvendando a Motivação na Decisão de Fazer Turismo de Proximidade em Roraima
Full text linkPurpose – This article aims to verify the influence of the factors that precede the motivation for proximity tourism in Roraima
Design/methodology/approach – This is a quantitative, exploratory, and descriptive survey-type research whose data analysis technique was Structural Equation Modeling (SEM). The target audience for this study was men and women residents in Roraima over 18 years of age, but not limited to tourists who were consuming tourist services at the location, but also people who may become future consumers of these services. A total of 284 questionnaires were collected, all of which were validated. The collection was carried out online via Google Forms and was carried out in September 2023.
Findings – The evidence indicated that demographic factors, such as gender, age, and family size, do not influence the decision to consume proximity tourism (TP) in Roraima. Intellectual, social, and competence motivation factors also did not significantly influence the decision to consume TP.
Research limitations/implications – Regarding the study's limitations, since it is a quantitative study, it may present imprecision in the answers. Although the validity problem may occur, nothing prevents this study from being replicated in other contexts. These results may lead to some consequences: a) stress and tension in daily activities may influence the decision to do proximity tourism, and b) the Amazon region may produce a unique/singular experience when it comes to tourism.
Practical implications – Regarding the managerial contributions of the study, it is important to consider that the study's findings demonstrated that demographic factors such as gender, age, and family size are not significant variables in consumer decision-making. The variable of motivation for rest is a significant factor.
Originality/value – This article made it possible to study the motivations and preferences of tourists who choose nearby destinations; this helps in personalizing experiences and marketing strategies. Proximity tourism has the potential to promote repeat visits, mitigate environmental impacts, and enhance regional heritage. Furthermore, this article clarified the concept of proximity tourism since there is familiarity with domestic tourism.Propósito: Este artículo tiene como objetivo verificar la influencia de factores predecesores en la motivación para realizar turismo local en el estado de Roraima.
Diseño/metodología/enfoque – Se trata de una investigación cuantitativa, de tipo Encuesta, exploratoria y descriptiva, cuya técnica de análisis de datos fue el Modelado de Ecuaciones Estructurales (SEM). El público objetivo de este estudio fueron hombres y mujeres residentes en Roraima, mayores de 18 años, pero no limitado a turistas que consumían servicios turísticos allí, sino también personas que pueden convertirse en futuros consumidores de estos servicios. Se recogieron 284 cuestionarios, todos ellos validados. La recogida se realizó online, a través de Google Forms, y se llevó a cabo en septiembre de 2023.
Hallazgos: La evidencia indicó que los factores demográficos: género, edad y tamaño de la familia no influyen en la decisión de consumir turismo local (TP) en Roraima. Los factores de motivación intelectual, social y competencial no tuvieron influencia significativa en la decisión de consumir PT.
Limitaciones/implicaciones de la investigación: En cuanto a las limitaciones del estudio, al ser una investigación cuantitativa, puede presentar inexactitud en las respuestas. Aunque el problema de validez pueda ocurrir, nada impide que este estudio sea replicado en otros contextos. Estos resultados pueden conducir a algunos desarrollos: a) el estrés y la tensión en las actividades diarias pueden influir en la decisión de hacer turismo local y b) la región amazónica puede producir una experiencia única/singular en lo que respecta al turismo.
Implicaciones prácticas: En cuanto a las contribuciones gerenciales del estudio, es necesario considerar que los hallazgos del estudio demostraron que factores demográficos como género, edad y tamaño de la familia no son variables significativas en la decisión del consumidor. La variable de motivación para el descanso es un factor significativo.
Originalidad/valor: Este artículo permitió estudiar las motivaciones y preferencias de los turistas que eligen destinos cercanos; Esto ayuda a personalizar experiencias y estrategias de marketing. El turismo de proximidad tiene el potencial de promover visitas recurrentes, mitigar los impactos ambientales y también mejorar el patrimonio regional. Además, este artículo contribuyó a clarificar el concepto de turismo de proximidad, ya que existe familiaridad con el turismo interno.Objetivo – Este artigo visa a verificar a influência dos fatores predecessores da motivação para a realização do turismo de proximidade no estado de Roraima.
Desenho/metodologia/abordagem – Trata-se de pesquisa quantitativa, de levantamento do tipo Survey, exploratória e descritiva, cuja técnica de análise de dados foi a Modelagem de Equações Estruturais (MEE). O público-alvo deste estudo foram homens e mulheres, residentes em Roraima, maiores de 18 anos, mas não se limitando a turistas que estivessem consumindo serviços turísticos no local, mas também pessoas que possam se tornar futuros consumidores desses serviços. Foram coletados 284 questionários, todos foram validados. A coleta se deu de forma online, via google forms, tendo sido levada a efeito em setembro de 2023.
Resultados – As evidências indicaram que os fatores demográficos: sexo, idade e tamanho da família não exercem influência na decisão de consumir turismo de proximidade (TP) em Roraima. Os fatores de motivação intelectual, social e por competência não apresentaram influência significativa na decisão de consumir TP.
Limitações/implicações da pesquisa – Quanto às limitações do estudo, por ser uma pesquisa quantitativa, ela pode apresentar imprecisão nas respostas. Embora o problema de validade possa acontecer, nada impede desse estudo ser replicado para outros contextos. Esses resultados podem levar a alguns desdobramentos: a) estresse e tensão em atividades diárias podem influenciar a decisão de fazer Turismo de proximidade e b) a região amazônica pode produzir uma experiência única/singular quando se fala de turismo.
Implicações práticas – Quanto às contribuições gerenciais do estudo, é preciso considerar que as descobertas do estudo demonstraram que fatores demográficos, como sexo, idade e tamanho da família não são variáveis significativas na decisão do consumidor. A variável de motivação para o descanso é um fator significativo. Isso indica às organizações da cadeia turística, estruturarem ações de marketing para terem como foco o fator de motivação para o relaxamento.
Originalidade/valor – Este artigo possibilitou o estudo das motivações e preferencias dos turistas que escolhem destinos próximos; isso auxilia na personalização de experiências e estratégias de marketing. O Turismo de proximidade apresenta potencial para a promoção de visitas recorrentes, mitigação dos impactos ambientais e ainda a valorização do patrimônio regional. Outrossim, este artigo contribuiu para clarificação do conceito do Turismo de Proximidade, uma vez que há familiaridade com Turismo Doméstico
List of Conchifera (Mollusca) identified during a beach nourishment in Matinhos, Paraná, Brazil
Full text linkIn 2022, a beach nourishment project was conducted in Matinhos, Paraná (Brazil). During the process, the presence of 25 Conchifera taxa was recorded, classified into six species of Gastropoda and nineteen species of Bivalvia. Most specimens still contained visceral mass, indicating that the material had not been transported over long distances and reflecting their local origin. Em 2022, foi realizado um engordamento de praia em Matinhos/PR, durante o qual foi encontrada a presença de 25 táxons de Conchifera, classificados em seis espécies de Gastropoda e 19 espécies de Bivalvia. A maioria dos organismos ainda possuía massa visceral em seu interior, o que indica que não se trata de material transportado a longa distância, refletindo sua relação com a região
Regularização em Redes Neurais com Reamostragem de Dados para Monitoramento Urbano Inteligente
Full text linkAbstractThe advancement of smart cities has led to a growing demand forefficient urban management systems, such as parking space management.In this context, regularization has proven to be an essentialtechnique for improving the generalization of deep learning models.This paper proposes a regularization method based on the use of smallerdata subsets across multiple epochs with resampling, aiming tobalance model learning and reduce the risk of overfitting. Using theMobileNetV3-Small, four experiments were conducted with the PKLotand CNRPark-EXT datasets. The results indicate that the proposedmethod achieved competitive results while utilizing only a fraction ofthe original data during training. By employing these strategies, itwas possible to reduce the data required per epoch by up to 97%, whilemaintaining an average accuracy close to 89%. Furthermore, trainingwith the PKLot dataset highlighted the positive impact on model robustnesswhen using datasets with greater diversity and quantity. Thisstudy underscores the importance of new regularization approachesto enhance the efficiency and generalization of deep learning modelsin urban applications
Aprimoramento da Classificação de Linfócitos e Monócitos em Imagens Médicas: O Impacto do CLAHE em Redes Neurais Convolucionais
Full text linkABSTRACTThe human immune system plays a critical role in defending againstinfections and diseases, with white blood cells (WBCs) being pivotalin these processes. Automated classification of agranulocytecells, specifically lymphocytes, and monocytes, is essential for accuratediagnostics and treatment monitoring in hematology andoncology. This study evaluates the performance of a convolutionalneural network (CNN) model, previously proposed for WBC classification,on public datasets, with and without the use of ContrastLimited Adaptive Histogram Equalization (CLAHE) for image preprocessing.The results show that CLAHE improved classificationmetrics, achieving up to 82.16% test accuracy on the Paul Mooneydataset and maintaining a high test accuracy of 98.72% on the UncleSamulus dataset. Metrics such as precision, recall, and F1-score alsoexhibited notable improvements, reaching up to 98% for lymphocytesand monocytes in the best-performing dataset. These findingshighlight CLAHE’s potential to enhance CNN-based classificationunder varying image conditions
OptiCore: Scalable Greedy Coreset Optimization Method for Efficient Deep Learning
Full text linkAbstractThe growing use of Deep Learning in various domains has amplifiedthe challenges of training models due to high computational costsand the need for large volumes of data. To address these limitations,this study presents the OptiCore method, a new dataset optimizationapproach based on the Greedy Coreset technique. OptiCorestrategically reduces the size of datasets while preserving theirrepresentativeness and diversity, integrating computational costanalyses through the Relative Cost Normalized metric. This methodbalances data efficiency and model performance, offering a scalablesolution for practical applications. The methodology is designedfor generalization and reproducibility, extending its usefulness todifferent Deep Learnig contexts. In the case study, Deep Learningmodels were applied for the classification of three-dimensionalshapes, with the ResNet-50 architecture showing the best results.OptiCore reduced the dataset by up to 90%, maintaining competitiveaccuracy while significantly reducing computational demands
Do Brincar ao Aprender: Como o LEGO MINDSTORM Fomenta Competências STEAM em Diversas Faixas Etárias.
Full text linkABSTRACTThis paper presents a mentoring project in computing and roboticsthat introduces students to robotics fundamentals using LEGOMINDSTORMS. The project fosters STEAM skills through hands-onactivities, enhancing logical reasoning and creativity. A structuredmethodology was applied, covering robot assembly, programming,and problem-solving. Over four years, the initiative expanded, trainingeducators and organizing competitions to consolidate learning.Results showed significant improvements in technical and collaborativeskills, increasing student interest in technology careers
A Dynamic Programming Approach for the Brachistochrone Problem
Full text linkAbstractIn this paper, we address the brachistochrone problem using DynamicProgramming and an extension that accounts for forbiddenregions or obstacles. The brachistochrone problem seeks the curveof fastest descent under gravity between two points, minimizingtravel time. While traditional approaches derive the cycloidal curveas the solution using calculus of variations, this work employs adiscrete, grid-based Dynamic Programming formulation to approximatethe optimal trajectory. Computational experiments showcasethe method’s flexibility, particularly in adapting to constraints suchas forbidden regions, and its ability to dynamically recalculate paths.Despite some limitations in angular resolution due to discretization,the proposed approach demonstrates robustness and scalability inaddressing constrained trajectory optimization problems. Moreover,this project lays the groundwork for extending the proposedmethodology to more complex scenarios, such as incorporating randomnessinto the trajectory, where the adaptability of this approachcan be effectively leveraged
Filtro de Kalman Modificado (FKM) para o Controle Ótimo de Tremores Parkinsonianos
Full text linkABSTRACTParkinson’s disease and other neurological disorders often manifestwith involuntary tremors, significantly impacting quality of life.This study proposes the Modified Kalman Filter for tremor attenuation,proposing a novel modification to enhance its performance inhand vibration control. Despite the advancements in adaptive algorithmsand deep learning models for tremor mitigation, challengessuch as data acquisition and implementation in wearable devicespersist. By leveraging the Kalman Filter’s ability to estimate systemstates, we aim to develop a more effective and accessible solutionfor individuals with tremors. Our findings demonstrate that theModified Kalman Filter can achieve significant tremor reduction,when compared to Kalman Filter, paving the way for future researchin wearable assistive technologies and brain-computer interfaces
Explorando o Redirecionamento de Streaming de Vídeo em Infraestruturas de Borda-Nuvem para Usuários Móveis
Full text linkResumoVideo streaming has become one of the most popular applicationsin recent years. With the exponential increase in demand forcontent, the development of adaptive solutions that balance theefficient use of computational resources while maintaining a highquality of experience for users, especially mobile users, has becomeessential. In this context, the integration between edge and cloudinfrastructures emerges as a promising approach for deliveringhigh-quality video as the user moves. This integration encompassesa wide range of devices, from mobile equipment to servers in datacenters, including intermediary servers based on fog computing,many of which are deployed near 4G/5G base stations. This workproposes to investigate rule-based autonomic computing strategiesfor the dynamic adaptation of streaming video services to betterutilize computational resources in edge and cloud infrastructures.Specifically, it explores the content-steering architecture, implementedby the Dynamic Adaptive Streaming over HTTP (DASH)protocol, as a solution to optimize streaming video, focusing onenhancing the quality of experience for mobile users