bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimising Drone-Assisted Logistics for Urban Last-Mile Delivery: An Overview of Applications, Methodologies, and Emerging Trends
Authors: Pratelli Antonio , Brocchini Lorenzo , Petri Massimiliano
Published: October 2024

The rapid evolution of drone-assisted logistics for urban last-mile (ULM) delivery has garnered significant interest from both academia and industry. This article presents a comprehensive review of the state-of-the-art research and practical implementations of ULM systems, focusing on the use of unmanned aerial vehicles (UAVs) for the final stage of goods and parcel delivery in urban environments. The applicability of UAV-based logistics across various contexts, including urban and rural areas, is examined, with real-world case studies highlighted to demonstrate practical uses. Key methodologies and models employed in optimising UAV routing and operations are discussed, particularly those that enhance the efficiency and reliability of ULM. The critical advantages and limitations of drone-assisted last-mile logistics are analysed, providing insights into the operational, regulatory, and technological challenges. The discussion is further expanded by addressing emerging trends in UAV technology, as well as innovations in drone deployment strategies and the evolving regulatory landscape. In conclusion, potential theoretical advancements and future applications of ULM systems are outlined, with an emphasis on integrating drones into broader logistics networks and smart city frameworks. The insights offered aim to guide future research and practical developments in this rapidly advancing field.
Dissimulation, effacement et silence dans les contextes de violences de masse : vers une anthropologie de la destruction
Authors:   ADES Anthropologie bio-culturelle, droit, éthique et santé (CNRS-Aix-Marseille Université), Anstett Élisabeth
Published: October 2024

Les anthropologues sociaux qui travaillent à l’intelligibilité des contextes façonnés par la violence extrême, se trouvent le plus souvent confrontés à une double difficulté. Ils travaillent en effet auprès des victimes ou de leurs descendants à collecter et analyser les fragiles empreintes laissées par des mondes partiellement ou totalement anéantis, cependant que les traces des crimes commis par les bourreaux continuent de faire l’objet d’effacements intentionnels de diverses natures, qu’il s’agisse d’ultimes destructions de preuves matérielles ou de la production de discours négationnistes. La tâche de faire naître du sens depuis le silence n’est donc pas chose aisée. Toutefois, en plus des outils théoriques et méthodologiques propres à leur discipline, les anthropologues sociaux peuvent bénéficier des recherches conduites dans d’autres champs disciplinaires (celui des sciences du langage, de la psyché ou de l’image, ou encore celui des sciences médico-légales), qui leurs donnent accès à des données supplémentaires et de nature distincte, et apportent un regard différent sur les situations ou les pratiques qu’ils cherchent à comprendre. Prenant notamment appui sur les apports et les expériences acquises dans le cadre de plusieurs programme de recherche collaboratifs, et en esquissant une état de l’art préliminaire à d’autres études futures, cet article souhaite montrer à quel point ces collaborations interdisciplinaires ont façonné le travail des anthropologues en les amenant à intégrer à leurs recherches des approches qui n’étaient pas initialement les leurs, et à quel point ces collaborations ont été déterminantes pour la compréhension des sociétés marquées par la silenciation des violences de masse.
Factores que afectan la participación activa de los estudiantes en clases, del primer año de Ciencias de la Educación de la Universidad Nacional de Pilar 2024
Authors: Velazco Rolón Cynthia Anahí , Rolón Cuyuá María Alicia
Published: October 2024

Los factores internos y externos que influyen en el proceso de enseñanza-aprendizaje son aspectos fundamentales a tener en cuenta para alcanzar una educación de calidad de los estudiantes en formación, el objetivo de la investigación fue analizar los factores que afectan en la participación activa de los estudiantes en el proceso de enseñanza-aprendizaje del primer año de la carrera ciencias de la educación, U.N.P,2024 la muestra estará compuesta por 35 alumnos de la carrera mencionada, la entrevista se realizará a 15 docentes de la Facultad de Humanidades y Ciencias de la Educación, el análisis de los resultados arrojó que los factores que afectan en la participación activa de los educando son las características personales que pertenecen a factores internos y los medios medioambientales, socioeconómicos y metodologías de enseñanza que pertenecen al factor externo.
Effects of Child Street Trading on Educational Outcomes in Lagos Nigeria
Authors: O. Akaeze Christian , Shaibu Akaeze Dr. Nana
Published: October 2024

This study examines the effects of child street trading on educational outcomes in Lagos, Nigeria. Using a qualitative research design, data were collected through semi-structured interviews with parents and teachers to explore how street trading impacts school attendance, academic performance, and the cognitive and emotional development of children. Data were analyzed using thematic analysis, which involved emergent open coding to identify recurring patterns and themes. The analysis revealed four major themes: (1) disruption of school attendance and engagement, (2) academic performance and learning challenges, (3) cognitive and emotional development, and (4) socioeconomic pressures and educational aspirations. The findings show that street trading significantly disrupts children’s school attendance, leading to tardiness, missed classes, and exhaustion, which hinder their ability to concentrate and engage in learning. As a result, academic performance suffers, with children experiencing gaps in knowledge and declining grades. Additionally, the emotional toll of street trading was evident, with many children struggling with low self-esteem and feelings of failure, further diminishing their motivation to succeed academically. The study concludes that child street trading poses substantial barriers to educational success, perpetuating poverty and limiting future opportunities. These findings highlight the urgent need for targeted policies and interventions to mitigate the negative impact of street trading on children’s education in Lagos, Nigeria.
Group Rapport Building in an Institutionaized Face-To-Face Interaction: a Case Study
Authors: Hyun-Joo Do Anna
Published: October 2024

When people are engaged in any interaction, they are likely to respond to each other's verbal and nonverbal cues. This responsiveness is a critical factor in the notion of rapport. In this paper, the author argues that the same human dynamics that govern everyday conversations are at play between participants in institutionalized conversations such as classroom discourse. The purpose of this study is to develop critical aspects of "conversational involvement" (Duranti, 1986; Goodwin, 1986; Gumperz, 1982; Tannen, 1985) as rapport-building devices and to provide observable phenomena that characterize rapport with participants' verbal and nonverbal cues in informal and formal conversation. In this study, nine people participated: a Korean professor of an elementary Korean language class at a major US university and eight undergraduate students whose first language is English. Three fifty-minute classroom sessions were videotaped, and segments that illustrated the teacher's and students' behaviors that facilitated rapport were transcribed and qualitatively analyzed. The author recorded the frequency of the teacher's verbal and nonverbal cues that appeared to foster rapport. This study found that the teacher shared small talk in informal before-class conversations by bringing up insignificant details about daily life. The teacher played the role of teacher during class by directing a lesson. However, she continued to utilize various rapport-building devices through selected verbal and nonverbal cues to engage her students in the conversation. In this classroom, as in everyday conversation, the participants demonstrated their desire to listen to, be responsive to, and be influenced by individuals in a certain way. The participants were part and parcel of achieving their goals in the classroom. The participants created a certain alignment to achieve their goals and signal that they were involved in the interaction. Then, the students would be able to learn the target language more through the involvement of the classroom activity, which is one of the outcomes of good rapport.
Intersectional Feminism and the Woman Spectator: A Historical Perspective
Authors: Yewande Adigun Doyin
Published: October 2024

To what extent does a woman relate to the female on screen when she sits in front of it? Who establishes her image in the public eye and what misogynistic roles suppress her individuality both on and off screen? Many feminist cinema theorists have written extensively about the evolution of the female spectator throughout the years, including Diana Anselmo, Laura Mulvey, and bell hooks. However, a recurring issue in this lengthy discussion is the junction of multiple identities. This investigation is made more complex by intersectional feminism, which acknowledges that racial, class, and gender intersections all influence how women watch. This study uses intersectionality theory to conduct a critical analysis of movies such as La Souriante Mme Beudet (1923), Stella Dallas (1937), Imitation of Life (1959), La Noire de... (1966), and Thelma and Louise (1991) through the lenses of psychoanalysis, feminist theory, post-colonialist theory, and critical race theory. This theoretical framework challenges and examines the ways in which films uphold or question societal injustices in addition to illuminating the ways in which women from diverse backgrounds interact with the medium.
Sleep disorders and a review of the uses of valerian, chamomile, lavender and passionflower: Pharmacy students’ knowledge and views
Authors: Chrisopher Kelly  , Bisrat Hailemeskel  , Fekadu Fullas
Published: October 2024

Insomnia is a common sleep disorder that affects the quality and length of sleep. Individuals who suffer from insomnia may encounter daytime fatigue, mood problems, impaired concentration, and increased risk of chronic diseases. This disorder can be acute or chronic. Acute insomnia is short-term and usually triggered by stress or life events, while chronic insomnia is long-term and often associated with other medical or psychological conditions. Insomnia can be treated with medications, lifestyle changes or herbal remedies. Four different herbs are thought of as potential treatment for insomnia: Valerian, Chamomile, Lavender, and Passionflower. This paper analyzes the potential effects of these remedies and their effectiveness in treating insomnia. It also collected data on what pharmacy students know about sleep disorders and their opinions about aspects that affect sleep. A total of 40 students completed the demographic survey questions with a 100% response rate. Of these, 36 answered the five knowledge-based questions (89.5% response rate) and about 35 (88%) completed the opinion questions. The five opinion statements had an average agreement rate of 81.2% among the survey respondents.
MEDICAL POTENTIAL OF ARBOREAL FUNGI
Authors: Kołodziejczyk Julia , Jastrzębska Izabella , Malinowska Marta
Published: October 2024

Fungi are an extremely important element of ecosystems, playing a key role in the decomposition of organic matter and forming symbioses with plants and animals. The diversity of fungi is enormous, with an estimated 2.2 to 3.8 million species on Earth. Some of these, known as medicinal mushrooms, have been used in medicine for centuries for their therapeutic properties, as described by Hippocrates in ancient times. Modern science is increasingly recognizing the potential of mushrooms not only in medicine but also in the food and biopharmaceutical industries. Current research focuses on the use of mushrooms as a source of valuable bioactive compounds with potential anticancer, immunomodulatory, and antibiotic properties.
СОВРЕМЕННЫЕ ПОДХОДЫ К ВВЕДЕНИЮ ДОКОРМА НОВОРОЖДЕННЫМ И ДЕТЯМ ПЕРВОГО ГОДА ЖИЗНИ. КАК ПРАВИЛЬНО
Authors: Павлова Светлана Евгеньевна , Панченко Александра Сергеевна , Федорова Лариса Арзумановна , Фоменко Анна Анатольевна
Published: October 2024

На протяжении последних десятилетий под эгидой Всемирной организации здравоохранения во всех странах мира ведется большая работа по поддержке грудного вскармливания среди медицинских учреждений и общественных организаций. Определена важность формирования доминанты лактации и оказания профессиональной помощи кормящей женщине. Данные мероприятия позволяют разрешить временные сложности и сохранить длительное грудное вскармливание. При наличии объективных причин для докорма ребенка назначение детских молочных смесей должно быть обоснованным и персонифицированным.

Over the past decades, under the auspices of the World Health Organization, a lot of work has been done in all countries of the world to support breastfeeding among medical institutions and public organizations. The importance of the formation of a dominant lactation and the provision of professional assistance to a nursing woman is determined. These measures allow you to resolve temporary diffi culties and maintain long-term breastfeeding. If there are objective reasons for additional feeding of the child, the appointment of infant formula should be justifi ed and personalized.
Predição da Produção de Etanol nos Estados Brasileiros
Authors: Mello Antonio , Carvalho Diego , Ogasawara Eduardo
Published: October 2024

Dois tipos de etanol combustível são produzidos no Brasil: etanol hidratado, usado diretamente como combustível veicular, e etanol anidro, misturado na gasolina na proporção de 27%. Dados da Agência Nacional do Petróleo, Gás Natural e Biocombustíveis (ANP) indicaram que a produção brasileira de etanol combustível representou quase 22% do consumo total de combustíveis automotivos no país em 2023. Seis estados são responsáveis por aproximadamente 90% da produção brasileira de etanol, o que apresenta um desafio logístico não só devido à sazonalidade da produção mas também pela necessidade de transporte do etanol das regiões produtoras para as redes de distribuição e revenda. Este estudo visa modelar e prever produção mensal de etanol hidratado e anidro nos principais estados produtores do Brasil. Para isso, empregamos o método ARIMA para previsão de séries temporais. A metodologia proposta apresentou bons resultados para as séries temporais que não apresentaram indícios de pontos de mudança estatísticos significativos.
Busca e Recuperação de Workflows em Repositórios por meio de Transformers e Modelagem de Tópicos
Authors: Oliveira Lyncoln S. , Amorim Annie , Lage Marcos , Paes Aline , Oliveira Daniel de
Published: October 2024

Diversos repositórios disponibilizam workflows previamente modelados para reúso e adaptação, dada a complexidade inerente à modelagem de um workflow. Embora esses repositórios ofereçam mecanismos de rotulação, nem sempre tais rótulos são preenchidos e, quando o são, os valores informados acabam limitando a busca. Um modo alternativo de realizar a busca nesses repositórios é utilizar as descrições em linguagem natural dos workflows, em vez de se limitar à busca por rótulos ou à comparação estrutural dos workflows. Este artigo apresenta a abordagem Athena++, que utiliza técnicas de processamento de linguagem natural para realizar a busca por workflows em repositórios, em especial o uso de Transformers e Modelagem de Tópicos. A Athena++ foi avaliada com um conjunto de workflows obtidos no repositório do Galaxy, e os resultados se mostraram promissores.
Modelagem Multinível de Indicadores de Insegurança Alimentar Baseados em Dados Socioeconômicos do Ceará
Authors: Silva Daniel de Amaral da , Albuquerque Davi Queiroz , Braga Antonio Rafael , Gurgel Anna Karine , Gomes Danielo G.
Published: October 2024

Este artigo aborda a questão da insegurança alimentar no Brasil, com foco no estado do Ceará. Utilizando dados socioeconômicos coletados em nível nacional, aplicamos modelos multiníveis para analisar como diferentes fatores impactam a insegurança alimentar em diversas regiões geográficas, incluindo micro e mesorregiões. Nossa pesquisa identificou que a proporção de indivíduos em domicílios com condições precárias, como piso de terra e uso de combustíveis para iluminação, está associada a um aumento significativo nas chances de deficiências nutricionais em crianças. Este artigo também destaca a importância de considerar variáveis socioeconômicas e demográficas ao elaborar políticas para combater a insegurança alimentar.
ImageLogViewer: An open-source solution for exploring images from micro-resistivity and ultrasonic boreholes
Authors: Piva Rodrigo , A. Cruz Matheus , Braga Paola , Dias Rodrigo , Siqueira Paulo , A. Trevizan Willian , M. de Jesus Candida , M. Souza André , Salvador Rodrigo , Fernandes Leandro , C. Bernardini Flávia , Sousa Elaine P. M. de , de Oliveira Daniel , Bedo Marcos
Published: October 2024

Borehole image logs are critical for characterizing reservoirs in the petroleum industry. Exploring this data is challenging because image logs are extensive in size and demand multiple measurements to be juxtaposed side-by-side, such as resistivity and acoustic data. Despite its importance, no open-source applications exist to analyze such data. In this demonstration, we present ImageLogViewer, a Python-based tool for visualizing image logs. It can simultaneously display acoustic and dynamic/static micro-resistivity data with multiple display modes and custom windowing to facilitate the analysis of structures, e.g., fractures and cavities. It also integrates image processing, machine, and deep learning models for classifying and segmenting regions of interest.
Fairness-Oriented Entity Resolution Tool for Streaming Data
Authors: Araújo Tiago Brasileiro , Efthymiou Vasilis , Stefanidis Kostas , Guerra Rafael de Souza
Published: October 2024

Entity Resolution (ER) plays a crucial role, facilitating the integration of knowledge bases and identifying similarities among entities from different sources. In this work, we address the following challenges: streaming data, incremental processing, and fairness. There is a lack of studies involving fairness and ER, which is related to the absence of discrimination or bias. Considering this context, this work presents TREATS, a fairness-aware ER tool able to deal with streaming and incremental data, which goes beyond matching based on the similarity scores and also applies to target fairness constraints. Overall, our contributions aim to advance the field of ER by offering a matching tool that considers both technical challenges and ethical considerations.
Processo de ETL para inserção de dados estatísticos do ensino superior brasileiro com foco em mulheres nas áreas STEM no grafo de conhecimento da plataforma ELLAS
Authors: Amador Bruna Oenning , Berardi Rita Cristina Galarraga
Published: October 2024

Uma discussão eficiente sobre a sub-representação de mulheres em áreas STEM na América Latina deve ser baseada em dados. Posto isso, este artigo tem como objetivo propor um processo de ETL adaptado para Dados Conectados para a integração de dados estatísticos do INEP com foco em mulheres no grafo de conhecimento da plataforma ELLAS. Foi implementado um pipeline que responde questões sobre sobre mulheres na educação superior brasileira em áreas STEM. Este trabalho contribui para a área de grafos de conhecimento por expor uma aplicação prática e seus desdobramentos.
Uma Proposta de Modelagem de Dados no Domínio de Fraudes em Licitações Públicas
Authors: Mello Ronaldo dos Santos , Bornia Luis Gustavo , da Silva Hudson Afonso Batista , Pierotti Felipe Macacari , Cardeal Marina Benvenuti
Published: October 2024

O combate à corrupção é uma incansável tarefa realizada por diversos órgãos governamentais, como Ministérios Públicos e Tribunais de Contas, no sentido de prezar pela moralidade dos seus processos. A descoberta de fraudes em processos licitatórios é uma dessas tarefas e sistemas automatizados vêm sendo propostos para apoiá-las. Entretanto, para que tais sistemas tenham êxito em suas análises é necessário que as fontes de dados acessadas por eles sejam ricas em informações a respeito das entidades do domínio e seus diversos relacionamentos. Isso requer uma modelagem adequada dos dados do domínio. Este trabalho apresenta uma proposta de modelagem de dados para o domínio de licitaçoes e fraudes associadas a elas. A intenção é que esta modelagem sirva como guia para projetos de repositórios de dados no domínio. Diferente de trabalhos relacionados, esta proposta apresenta uma modelagem de dados abrangente no domínio e uma proposta de persistência poliglota.
Graph Data Mining for Detecting Collusions in Bidding Processes: A Case Study
Authors: Victor André Ormastroni , Sales Luís A. M. , Moreira Rodrigo S. , Moraes Carlos E. C. de , Lima Luis G. , Rocha João F. , Contursi Bruno S. N. , Meirelles Thiago
Published: October 2024

Bidding collusion causes significant financial damage in Brazil and compromises the efficiency of public service delivery. This work proposes the representation of bidding disputes as a directed graph and the use of data mining techniques on graphs to detect suspicious data patterns that may reveal anti-competitive behaviour. The algorithms and techniques used were tested in a case study with the real bidding data of a Brazilian mixed economy company. The results show that to ensure the integrity of the bidding processes it is required to develop more complex preventive controls which check more comprehensively the entire network of relationships in the graph.
Identificação de Perfis em Múltiplas Redes Sociais
Authors: Barreto Mariana , Lifschitz Sérgio
Published: October 2024

Este trabalho apresenta o desenvolvimento de uma ferramenta web projetada para identificar perfis de usuários em várias plataformas de redes sociais, como Twitter, Facebook e Instagram, empregando exclusivamente medidas de similaridade de texto. O estudo se concentra na utilização da distância de Levenshtein, uma métrica conhecida por medir a diferença entre sequências de caracteres, para avaliar a semelhança entre usernames e nomes de perfil, buscando determinar a eficácia dessa abordagem em produzir resultados precisos na identificação de perfis correspondentes entre diferentes plataformas. A pesquisa conduz uma análise do desempenho e da precisão dessa métrica, explorando e implementando estratégias para aprimorar esses aspectos. Além disso, descreve o processo de criação da ferramenta web, destacando como ela facilita a construção de um banco de dados que associa perfis digitais a indivíduos reais. A aplicação da distância de Levenshtein permite uma identificação mais eficiente e rápida de conexões entre perfis de diferentes redes sociais, potencializando o reconhecimento e a análise de presenças online de usuários em múltiplos ambientes digitais.
Análise de Satisfação de Serviços e Produtos Brasileiros em Plataformas Eletrônicas: Uma Abordagem de Mineração de Texto
Authors: Santos Isabella Lopes Carmo dos , Villas Marcos V. , Lifschitz Sergio
Published: October 2024

Este artigo apresenta o desenvolvimento de uma metodologia para compreender opiniões e sentimentos dos consumidores após a prestação de serviços e a venda de produtos em plataformas eletrônicas brasileiras, utilizando técnicas de mineração de texto. O estudo concentra-se na modelagem de tópicos, análise de sentimentos e extração de entidades nomeadas a partir dos comentários dos consumidores. O método foi aplicado a dados públicos de avaliações de diferentes setores, visando auxiliar empresas e comerciantes a melhorar seus produtos, serviços e atendimento ao cliente. Além disso, são discutidos os desafios enfrentados na aplicação das técnicas e avaliação dos resultados. A construção final do método demonstra sua eficácia na compreensão da satisfação dos clientes em diversos setores, proporcionando insights relevantes.
Ciência de Dados e Transparência: Experiências com Dados Públicos do SICOM
Authors: Costa Lucas G. L. , Dutra Marco Túlio , Oliveira Gabriel P. , Silva Mariana O. , Cruz Soares Daniela , Silva Faria Luciana de Cássia , Meira Jr. Wagner , Pappa Gisele L.
Published: October 2024

Este artigo relata a experiência do Programa Capacidades Analíticas (PCA) na utilização da base de dados pública do Sistema Informatizado de Contas dos Municípios (SICOM) para aplicação de ciência de dados no contexto de gastos governamentais. Usando a base de dados do SICOM, o PCA desenvolveu técnicas avançadas de inteligência artificial e ciência de dados para analisar licitações, despesas públicas municipais e identificar irregularidades.
Avaliação de Aplicações de Geração Aumentada de Recuperação por meio de Feedback Implícito
Authors: Albuquerque Alessandro Marinho de , Wensing Igor May , Joppi Filho Nelson Luiz , Dorneles Carina
Published: October 2024

Em um cenário de evolução dos últimos anos dos modelos grandes de linguagem, com o surgimento de um nicho de mercado específico, aplicações corporativas começaram a surgir e se tornar estratégicas. Contudo, em cenários corporativos, a necessidade de avaliar os resultados dessas aplicações se torna crítica. Como saber se um modelo é melhor que outro? Como saber se o prompt ou a pergunta pode ser melhorado? Como realizar o diagnóstico de erros? Este artigo aborda uma nova proposta de feedback implícito em arquiteturas de Geração Aumentada de Recuperação (RAG). Os resultados demonstram potencial da proposta aplicado no VigIA, uma aplicação RAG que detecta irregularidades em documentos públicos.
Predição da Inadimplência do IPVA no Estado do Ceará Utilizando Aprendizado de Máquina
Authors: V. Silva Maria Inês , da S. Pinheiro Francisco Victor , C. Mattos César Lincoln , S. Monteiro Filho José Maria da , C. Andrade Rossana M.
Published: October 2024

Para os estados e municípios brasileiros, o Imposto sobre a Propriedade de Veículos Automotores (IPVA) é a segunda fonte mais importante de receita. A adimplência na arrecadação do IPVA depende de diferentes fatores, tais como a economia do país, o valor venal e a residência dos veículos, dentre outros fatores. Prever se os contribuintes serão adimplentes ou não em relação ao pagamento do IPVA pode fornecer subsídios que auxiliem os governos a elaborar políticas públicas, planejando ações fiscais e direcionando as campanhas de incentivo ao pagamento tempestivo do imposto. Neste trabalho, foi realizada uma série de experimentos buscando construir uma solução para o problema de classificação de contribuintes quanto à adimplência em relação ao pagamento do IPVA. Foram utilizados dados reais referentes ao IPVA do Estado do Ceará no período de 2019 a 2023. Ao todo, quatro algoritmos de classificação foram explorados para classificar os contribuintes em dois grupos: adimplentes e inadimplentes. Os melhores resultados alcançaram uma pontuação F1 de 0,86 comprovando a viabilidade da solução proposta.
Julius: Ferramenta de Captura de Dados dos Portais da Transparência
Authors: Berger Pedro P. , Souza Matheus W. , Quartezani Heitor , Merisio Guilherme , Fazolo Iara A. , Andrade Luciana G. F. de , Silva Sandro T.
Published: October 2024

A ferramenta captura e consolida dados de APIs de portais de transparência dos 78 municípios do estado do Espírito Santo, auxiliando em investigações sobre compras públicas e contratos. O projeto enfrentou desafios técnicos, como a diversidade das APIs e a necessidade de padronização dos dados. A aplicação está disponível em código aberto e entrega um banco de dados públicos com todo o conteúdo dos portais da transparência de forma estruturada.
Agrupamento de itens de notas fiscais referentes a produtos similares
Authors: da Silva João Pedro D. , Soares Diogo , Zibetti Andre Wüst , M. dos Santos Matheus , Fileto Renato , Werner Simone Silmara
Published: October 2024

Aplicações como a investigação de preços praticados em compras públicas e possíveis irregularidades requerem a identificação de itens similares de notas fiscais eletrônicas (NFe). Este é um problema desafiador devido à falta de padronização das descrições textuais dos produtos nos ítens. Este artigo apresenta e compara 4 métodos para agrupamento de itens de NFe usando técnicas de modelagem de tópicos e campos como unidade de medida e código NCM(Nomenclatura Comum do Mercosul). Os resultados indicam que a proposta permite agrupar alguns produtos com descrições relativamente simples e podem auxiliar no agrupamento de itens com maior variabilidade de descrições.
Supervised Machine Learning for Tax Evasion Detection: A Case Study with the Brazilian Tax Administration
Authors: Pires Cleyton Andre
Published: October 2024

In this study, we present an innovative approach to enhance the audit case selection process within the Brazilian Tax Authority (RFB) by integrating Artificial Intelligence techniques. We employ supervised learning algorithms to predict taxpayers’ annual income coupled with outlier detection techniques to strategically prioritize cases of heightened fiscal interest. This involves leveraging a comprehensive dataset of socioeconomic variables available to the Tax Administration. A pivotal facet of our methodology is its commitment to model explainability for ensuring fairness and compliance with legal and ethical considerations. Preliminary findings demonstrate promising results, positioning our model as a valuable complement to the existing rule-based system.
Gêmeo Digital com Módulo de Otimização da Movimentação de Braço Robótico Utilizando a Heurística de Lin-Kernighan
Authors: Ludke Gabriel , Andreão Rodrigo V. , Mestria Mário , Ribeiro Saulo
Published: October 2024

Este trabalho propõe uma aplicação de Gêmeo Digital dotado de módulo de otimização de processo acoplado ao simulador da planta virtual. O processo físico foi reproduzido em ambiente virtual de forma a possibilitar a simulação de diversas condições de operação e movimentação do braço robótico. O módulo de otimização entra em ação para gerar uma rota que minimiza a distância total da trajetória. Em seguida, a operação ótima é aplicada à planta física que reproduz o movimento simulado. Os resultados obtidos em ambiente de simulação confirmaram o papel do módulo de otimização no aumento da eficiência da operação do braço robótico.
Experimentação Remota e Simulações 3D aplicadas ao estudo da propagação das ondas eletromagnéticas por meio da Aprendizagem Baseada em Projetos
Authors: Silva Izac M. da , Bremgartner Vitor , Cavalcante Marisa
Published: October 2024

Este trabalho apresenta os resultados na criação de uma Sequência Didática fundamentada na Aprendizagem Baseada em Projetos, integrando a Experimentação Remota, Simulação Virtual mobile e Realidade Virtual para o estudo da propagação eletromagnética, aplicável em diferentes contextos de ensino. Este projeto teve uma abordagem mista utilizada para criação de um protótipo, o qual foi implementado em alunos do Ensino Médio. Os resultados convergem para a eficácia da proposta, para o ensino de Física, com principal destaque para o ambiente de Realidade Virtual.
An XR Experience to Collect Biosignals for Cybersickness Mitigation
Authors: Silva Wedrey Nunes da , Porcino Thiago Malheiros , Castanho Carla Denise , Jacobi Ricardo Pezzuol
Published: October 2024

Cybersickness (CS) is one of the main obstacles to the use of Virtual Reality (VR), often caused by Head-mounted Displays (HMDs). Its symptoms, which can last from minutes to hours after exposure, include nausea, vertigo, eye strain, and headache. Researchers generally use subjective measures, such as the Virtual Reality Sickness Questionnaire, to assess CS. Studies indicate that CS significantly impacts physiological signals, but there is little research on the application of Symbolic Machine Learning to understand the causes of CS in VR games. This study investigates the use of biosignals to identify the causes of CS in VR. Our main hypothesis is that the combination of quantitative and subjective assessments, along with Symbolic Machine Learning techniques, allows for the creation of a ranking of the main causative or indicative factors of CS. To validate this hypothesis, software was developed to record the biosignals and self-reported symptoms of participants during experiments with two VR games. Physiological signals (ECG, EDA, and body movements extracted from an Accelerometer - ACC) and game data were collected. The results show a strong relationship between physiological changes and CS symptoms, with a model that includes biosignals achieving an AUC of 0.95. The rankings of the main factors, both for the model without and with the inclusion of biosignals, confirmed previous research described in the literature. As far as we know, our work is the first to use Symbolic Machine Learning models to detect the causes of CS.
Jogo Sério Baseado em Realidade Virtual Associado ao Processamento de Sinal EMG e Feedback Sensorial para Treinamento de Prótese de Membro Superior
Authors: Cavalcante Reidner Santos , Lamounier Edgard , Soares Alcimar
Published: October 2024

Este trabalho propõe um sistema que emprega RV Imersiva e sinais EMG para criar um ambiente de treinamento para amputados que usarão próteses mioelétricas. O sistema usa o Vive Pro e o Vive Tracker para espelhar movimentos em uma prótese virtual, controlada por sinais EMG e possui feedback sensorial via motores vibracionais utilizando a braçadeira Myo. Os resultados indicam que o feedback tátil melhora significativamente o treinamento, especialmente para controle mioelétrico, e elementos de Jogos sérios oferecem um ambiente interativo e específico, aumentando a eficácia e o realismo do protocolo de treinamento.
An XR Framework Proposal to Assist Designers in Minimizing Cybersickness
Authors: Santiago Leonardo Giuri , Kronemberger Victhor Alves , Porcino Thiago , Cherullo Renato , Raposo Alberto
Published: October 2024

Extended Reality (XR), as a form of human-computer interaction, continues to encounter significant challenges related to user well-being. The frequent discomfort experienced during the use of head-mounted displays (HMDs), commonly referred to as cybersickness, has been the focus of extensive research. This research has led to the development of various techniques aimed at mitigating these adverse effects. However, there remains an absence of a streamlined, automated method to implement these measures effectively. This project seeks to address this gap by providing developers with a tool that facilitates the easy and modular implementation of cybersickness mitigation techniques. Utilizing game engine events as triggers, this prototype allows for the activation and deactivation of these techniques in a seamless manner. We believe this approach will not only simplify the application process for developers but also promote the broader adoption of VR by enhancing user comfort and overall experience.
A Simulator for Military Terrain Study
Authors: Almeida Raphael de Souza e , Gonçalves Thiago , Raposo Alberto
Published: October 2024

One of the biggest concerns in planning a military operation is how to explore the terrain, avoid collateral damage and accomplish the mission. During that process, military planners study the topographic and tactical aspects, gathering detailed information to better advise superiors in their decisions. Learning how to prepare for that terrain study takes time and practice, and inside the classroom is difficult. In this context, we propose “Simulador Virtual para Estudo Topotático do Terreno (SVETT),” a simulator that uses resources usually found in classroom inserted in 3 interfaces (Virtual Reality, Projector and Constructive) that can help instructors to ease teaching the abstract subjects of a terrain study and standardize the knowledge learned from students. The Brazilian Marines Simulation Center developed SVETT and evaluated it with 54 students. The results suggest that using SVETT first, students found participating in the field exercise easier because of their previous contact with the region.
Serious Applications in a First-Person Shooter Style Game in Virtual Reality
Authors: Gonçalves Thiago da Silva , Almeida Raphael de Souza e , Porcino Thiago Malheiros , Raposo Alberto Barbosa
Published: October 2024

Armed conflicts have become increasingly common in urban environments, often occurring in confined spaces with the presence of many people. In such situations, it is imperative that military personnel are prepared for this reality, where mistakes can cost lives. This study examined the use of Virtual Reality as a support tool in decision-making during Close Quarters Combat. Two virtual environments were used: one for training and another to verify target identification. The study found positive results, which support the use of virtual reality for this purpose.
Virtual Reality in Astronomical Education: Improving the Understanding of Eclipses with Interactive Simulations
Authors: Carneiro Ana Cesarina de Oliveira , Paillard Gabriel Antoine Louis , Araújo Neto João Batista de , Vidal Creto Augusto , Cavalcante Neto Joaquim Bento , Leite Junior Antonio José Melo , Gomes George Allan Menezes
Published: October 2024

The teaching of astronomical concepts, such as eclipses, faces challenges due to their complexity and the difficulty of spatial visualization. This research proposes the use of Virtual Reality (VR) to enhance the understanding of these phenomena. An immersive virtual environment was developed, allowing users to explore accurate simulations of solar eclipses. The approach involves the customization of celestial models, integration into a VR editor (Universal), and execution of the simulations on HMDs (Universal Runner). The paper also discusses future advancements, such as the inclusion of new scenarios and the automation of experiences, aiming to improve interactive learning.
Biofeedback in Virtual Reality: Assessing Immersive Industrial Safety Training
Authors: Brito Gabriel de , Miguez Rafael , Dias Felipe Leão , Soussa Márcio , Winkler Ingrid
Published: October 2024

This study analyses biometric data resulting from a virtual reality-based industrial safety training. The current phase of the project features an advanced VR training environment. Utilizing the Design Science Research paradigm, this research involved the design, development, and evaluation of an immersive training program. In this environment, biometric data is captured for the analysis of heart rate metrics. Author’s evaluations based on these data have demonstrated the effectiveness of VR training in enhancing safety measures for work at heights.
iRev: Um framework de avaliação de sistemas de recomendação baseados comentários textuais
Authors: Bittencourt Guilherme , Vasconcelos Naan , Rocha Leonardo
Published: October 2024

Current advances in Recommendation Systems and Natural Language Processing have motivated recent studies to return their interest in Review-Aware Recommendation Systems (RARSs). In this sense, we employ a systematic mapping approach by selecting 117 papers published on the main vehicles of the area, presenting a summary of the advances, highlighting the main proposal algorithms, and detailing the most used datasets and metrics in experimental setups. All the implementations and other artifacts extracted from this study were consolidated into a framework: iREV. In addition, we conduct a comprehensive experimental comparison among state-of-the-art proposals, highlighting the main directions and new perspectives for future developments.
Mobile-based collaborative interventions between target participants and circle participants
Authors: Silva Joab Cavalcante da , Dantas Laurentino Augusto , Di Marzo Marina Ariane D. , Rodrigues Kamila Rios , Pimentel Maria da Graça C.
Published: October 2024

The literature registers the use of mobile devices in interventions that gather information from individual participants within their natural environments. Researchers have identified a need for supporting interventions that involve both participants and individuals within their social circles. To address this need, we conducted a Rapid Systematic Review focused on the following questions: Which papers describe models that enable experts to foster collaboration among group members in interventions mediated by mobile devices or IoT? Which studies present operations related to communication, cooperation, or coordination? How were these solutions developed and evaluated? What roles do participants assume within the interventions? In which domains were these evaluations conducted? The review selected 26 works, most within the domains of Education, Health, or both (84%). The analysis revealed significant gaps in the literature regarding systems and models that facilitate communication, cooperation, or coordination among intervention participants and their social circles. This analysis indicated the need for a set of functional and non-functional requirements to guide the design and evaluation of future solutions. We contribute by proposing these requirements to address the identified gaps and enhance the development of effective intervention systems.
Flautim: A Federated Learning Platform using K8S and Flower
Authors: Barros Pedro H. S. S. , Oliveira Marcelo Q. A. , Orang Omid , Silva Felipe A. R. da , Erazo-Costa Fabricio J. , Bastos Allana Tavares , Silva Petrônio C. L. , Santos Glauber Soares dos , Loureiro Antonio A. F. , Ravetti Martín Gómez , Costa Marcelo Azevedo , Guimarães Frederico Gadelha , Ramos Heitor S.
Published: October 2024

Federated learning (FL) is a cutting-edge technology in artificial intelligence that preserves data privacy and security while reducing the cost of computation and communication. It transforms traditional centralized machine learning and deep learning approaches to enable decentralized model training without the need for data exchange. This work presents Flautim, the first implementation of an FL platform in Brazil and all around Latin America based on Kubernetes (K8S) and Flower framework. Flautim is designed for academic use, enabling researchers without a technical background to conduct FL experiments on this platform easily. Also, this platform allows for the development of applications involving data gathered from connected vehicles. Thus, this study aims to introduce this new FL platform, providing comprehensive details of its architecture.
TV 3.0: Integração e Controle de Renderizadores de Efeitos Sensoriais
Authors: Ivanov Marina , Vieira Rômulo , Santos Joel A. F. dos , Muchaluat-Saade Débora C.
Published: October 2024

Advancements in the Brazilian television sector have been consistently intertwined with the technological innovations of each era. From its inception, supporting only live broadcasts, through the integration of recorded content on magnetic tapes, to the adoption of a color standard, television broadcasts have always been driven by the pursuit of higher quality. Currently, the Brazilian Digital Terrestrial Television System Forum (SBTVD) is working on a new national standard, referred to as TV 3.0, which, among various guidelines, aims to incorporate multiple secondary devices, such as sensory effect actuators, to enhance immersion and provide viewers with a richer content experience. In this context, the present paper proposes architectural changes to the TV receiver, a communication protocol, and an Application Programming Interface (API) to control various functions in sensory effect display devices, such as activation, deactivation, and adjustments in renderings. Additionally, a use case is presented to validate these concepts and demonstrate how they may find full applicability in the next generation of digital terrestrial television in Brazil.
Geração automática de SDK em ES6 para APIs do Ginga CCWS
Authors: Abreu Raphael , Santos Joel A. Ferreira dos , Muchaluat-Saade Débora C.
Published: October 2024

The evolution of the Ginga standard for Digital TV requires tools that facilitate the adaptation and development of interactive applications. This article presents an SDK generator in JavaScript (ES6) based on the OpenAPI (Swagger) specification of the Ginga CCWS standard for TV 2.5 (ABNT NBR 15606-11). The SDK has the potential to simplify the interaction with the CCWS API services of the TV receiver, promoting interoperability and speeding up the development of applications for Brazilian Digital TV. In addition, the use of OpenAPI guarantees adaptability to future versions of the standard, facilitating the updating and maintenance of applications.
Geistlicher Missbrauch – ein Schlüsselthema der Weltanschauungsarbeit
Authors: Kreitschmann Eva-Maria
Published: October 2024

Beratende in der Weltanschauungsarbeit sind immer wieder mit dem Thema des „geistlichen“ bzw. „spirituellen Missbrauchs“ konfrontiert. Er spielt in den Geschichten der Ratsuchenden nicht selten eine Rolle, und zwar in den unterschiedlichsten Formen. Aber wie genau lässt sich das Phänomen fassen? Wo verläuft die Grenze zwischen gesunder und ungesunder Religiosität sowie zwischen gedeihlicher und missbräuchlicher religiöser Autorität? Die EZW widmete ihre diesjährige Jahrestagung diesem hochbrisanten und komplexen Gegenstand. Ziel der Tagung war es, die begriffliche Unschärfe zu klären, Faktoren in den Blick zu nehmen, die geistlichen Missbrauch in Gemeinschaften begünstigen, und nicht zuletzt auch neuralgische Punkte in der christlichen Frömmigkeit zu identifizieren, die geistlichen oder spirituellen Missbrauch befördern können.
Assessing the Significance of Human Values in Higher Education: A Multi-Criteria Approach Using the Analytic Hierarchy Process (AHP)
Authors: Oddershede Astrid , Quezada Luis , Palominos Pedro , Olivares Víctor
Published: October 2024

This chapter explores the importance of human values in higher education using a multi-criteria approach. By incorporating a values-based framework, it attempts to reveal the complex interaction between various factors that are crucial for integrating human values into institutional management. This method not only yields insights into the benefits of integrating these values into organizational structures, but also highlights their potential to enhance academic and social outcomes, while strengthening institutional culture and operational efficiency. The effective implementation of this approach requires strategic planning, active stakeholder involvement and a commitment to continuous improvement. Given the diversity of stakeholder values, perceptions and aspirations, conflicts between objectives often arise. To address this issue, a case study was conducted using the Analytic Hierarchical Process (AHP) within the Chilean higher education landscape to discern priority human values. Based on empirical data from a public and a private university, an initial model was formulated. The results highlighted the central role of educators and managers in this context, underlining the important influence they can use.