bluuebunny/crossref_metadata_2025 huggingface dataset:
Programa de Residência Docente na Formação de Professores Iniciantes
Authors: Lima Bertrand Luiz Corrêa , Carneiro Reginaldo Fernando
Published: November 2024

RESUMO Este artigo tem como objetivo analisar características, impactos e potencialidades do Programa de Residência Docente (PRD) da Universidade Federal de Juiz de Fora (UFJF) para a formação continuada de professores em início de carreira. Desenvolveu-se uma pesquisa qualitativa com abordagem de estudo de caso. A produção de dados resultou de um questionário de caracterização e de entrevistas semiestruturadas com seis atores envolvidos no PRD. Este estudo evidenciou que o Programa é um lugar para refletir sobre o processo de ensino e aprendizagem, (re)conhecer a comunidade escolar e suas características e tornar-se professor. Constatou-se que ele pode, ainda, auxiliar o professor em início de carreira em seu processo formativo e na construção de sua identidade profissional.
“Crianças Leitoras do Mundo”: diversidade, classe, género e participação
Authors: Gonçalves Carolina , Tomás Catarina , Almeida Aline
Published: November 2024

RESUMO O uso crítico dos livros ilustrados pós-modernos tem sido uma ferramenta essencial para a compreensão da construção social do reconhecimento das diferenças pelas crianças. Este artigo analisa as conceções de crianças sobre diversidade, classe social, género e participação. No âmbito do projeto RED_SMOOTH (Horizon 2020, União Europeia), desenvolveu-se uma investigação de natureza qualitativa, com um grupo de 22 crianças do 2.º ano da educação básica, em Lisboa, com a implementação de um programa de intervenção de leitura em voz alta com vista à exploração dos temas mencionados anteriormente. Os resultados permitem identificar o impacto dos livros ilustrados para promover a discussão sobre estes temas.
Pregnancy in patients with chronic kidney disease undergoing dialysis
Authors: Gorayeb-Polacchini Fernanda Salomão , Moura Ana Flavia , Luders Claudio , Moura Neto José Andrade , Leme Juliana El Ghoz , Silva Dirceu Reis da
Published: November 2024

Abstract Women with chronic kidney disease are less likely to become pregnant and are more susceptible to pregnancy complications when compared to patients with normal kidney function. As a result, these are considered high-risk pregnancies, both maternal and fetal. Over the years, there has been an increase in the incidence of pregnancies in dialysis patients, and an improvement in maternal and fetal outcomes. It is believed that the optimization of obstetric and neonatal care, the adjustment of dialysis treatment (particularly the increase in the number of hours and weekly frequency of dialysis sessions), and the use of erythropoiesis-stimulating agents have provided better metabolic, volume, blood pressure, electrolyte, and anemia control. This review article aims to analyze pregnancy outcomes in chronic kidney disease patients undergoing dialysis and to review nephrological medical management in this scenario. Due to the growing interest in the subject, clinical recommendations for care practice have become more consistent in both drug and dialysis management, aspects that are addressed in this review.
O CUIDADO NA CRISE PSÍQUICA DURANTE A PANDEMIA DA COVID-19 À LUZ DA NECROPOLÍTICA
Authors: Wünsch Carla Gabriela , Kantorski Luciane Prado
Published: November 2024

RESUMO Objetivo: analisar o cuidado na crise psíquica grave na perspectiva de profissionais da saúde, pessoas e familiares durante a pandemia da Covid-19. Método: estudo de múltiplos casos, realizado com oito profissionais da saúde, seis pessoas em situação de crise e sete familiares, acompanhados por três meses, de outubro de 2021 a junho de 2022, em uma capital brasileira. Os dados foram analisados por análise de conteúdo e pelo marco teórico da necropolítica. Resultados: evidenciaram-se três categorias: “Sucateamento da Rede de Atenção Psicossocial”, “Ambulatorização do Centro de Atenção Psicossocial” e o “Atendimento à crise psíquica na pandemia”. Confirmase uma necropolítica que atravessa o campo da saúde mental e afeta as pessoas vulneráveis, sendo urgente o debate sobre financiamento e raça. Conclusão: a falta de serviços especializados em saúde mental, somados aos atendimentos do serviço de saúde mental pautados na lógica ambulatorial, iniciado antes da pandemia, agravou o atendimento à crise.
DESARROLLO DE PROYECTO DE INVESTIGACIÓN CUALITATIVA EN CUIDADO DE ENFERMERÍA Y SALUD EN DIEZ PASOS
Authors: Castañeda Raúl Fernando Guerrero , Machain Pedro Aguilar
Published: November 2024

RESUMEN Objetivo: describir las recomendaciones para el desarrollo de un proyecto de investigación cualitativa en cuidado de enfermería y salud en diez pasos. Desarrollo: comunicación breve teórica, construida a partir de integración reflexiva con base en revisión de literatura sobre investigación cualitativa en enfermería y salud durante 2024. Destacan diez pasos y recomendaciones: definir la idea y desarrollar preguntas de investigación; definir el objeto de estudio; explorar la literatura; elegir y profundizar el enfoque epistémico; desarrollar el referente teórico-filosófico; seleccionar el método y enfoque; definir la trayectoria metodológica; definir los criterios de rigor metodológico cualitativo; ser creativo y revolucionario; y escribir y generar ideas, cuestionar y analizar. Conclusión: la formulación de un proyecto de investigación cualitativa en enfermería y salud se puede desarrollar a partir de recomendaciones que orienten una reflexión crítica de los investigadores, lo que permitirá integrar una propuesta de proyecto de investigación sustentada y rigurosa.
ADAPTACIÓN TRANSCULTURAL DE LA ESCALA INTEGRARE AL PORTUGUÉS DE BRASIL
Authors: Vidor Isabella Duarte , Bavaresco Taline , Silva Ana Carolina Fioravanti Eilert da , Santos Cássia Teixeira dos , Gálvez Ana María Porcel , Lucena Amália de Fátima
Published: November 2024

RESUMEN Objective: realizar la adaptación transcultural y la evaluación de las propiedades psicométricas de la Escala INTEGRARE para el portugués de Brasil. Método: estudio metodológico cuyas etapas fueron traducción, síntesis, retrotraducción y revisión por expertos. Se evaluaron las propiedades psicométricas con respecto a la confiabilidad, validación de contenido y validación de constructo convergente, con la Escala de Braden. El pretest se realizó con 30 pacientes y la validación con 120 pacientes adultos internados en unidades clínicas y quirúrgicas de un hospital escuela del sur de Brasil. Resultados: la Escala INTEGRARE fue fácil de aplicar y comprensible, lo que demuestra que se puede aplicar a la realidad brasileña. En el análisis de las propiedades psicométricas de confiabilidad se identificó consistencia interna con alfa de Cronbach cuestionable (α=0,63); sin embargo, en la validez convergente hubo correlación significativa, positiva y fuerte (Rho=0,741; p<0,001) con respecto a la Escala de Braden. Conclusión: la adaptación amplía el alcance de la enfermería en el uso de instrumentos para predecir el riesgo de Lesiones por Presión.
EMOTIONAL DISTRESS EXPERIENCED BY NURSING PROFESSIONALS IN A HEALTH CRISIS SITUATION
Authors: Monteiro Wagner Ferreira , Ximenes Vitória Miranda , Silva Denise Maria Guerreiro Vieira da , Andrade Lucas Lorran Costa de , Lima Kássia Janara Veras , Ferreira Darlisom Sousa , Ramos Flávia Regina Souza
Published: November 2024

ABSTRACT Objective: to investigate the emotional repercussions experienced by nursing professionals during the COVID-19 pandemic in Manaus. Method: qualitative descriptive study. Data collection took place from June 2020 to February 2021, in the Amazonas state capital, Brazil, through semi-structured interviews with nursing professionals who worked on the front line, coded with the aid of the ATLAS.ti 8.0 program and analyzed according to the precepts of Thematic Network Analysis. Results: the 19 participants were nurses (68%) and nursing technicians/assistants (32%). Four themes emerged from the Emotional Impacts Thematic Network: unexpected changes, increased tensions, emotional distress, and psychosocial support strategies. Conclusion: the professionals’ experiences should be used as a basis for initiatives to promote and protect their health, as well as their working conditions, in order to guarantee the quality of the care they provide.
PRIORIDADES TEMÁTICAS PARA LA EDUCACIÓN PERMANENTE EN SALUD MENTAL DESDE LA PERSPECTIVA DE LOS TRABAJADORES DE LA SALUD
Authors: Lima Helder de Pádua , Machado Cynthia Fernanda Teles , Britto Ana Carolina Saggin , Rozza Soraia Geraldo , Costa Maria Antonia Ramos , Souza Verusca Soares de
Published: November 2024

ABSTRACT Objective: conocer las prioridades temáticas para la educación continuada en salud mental desde la perspectiva de los trabajadores del Sistema Único de Salud. Método: estudio exploratorio y cualitativo realizado con 37 trabajadores de la salud de un municipio de Mato Grosso do Sul, en septiembre de 2022. Los datos se recogieron mediante un cuestionario individual autoadministrado y un grupo focal guiado por un guión semiestructurado de preguntas. El material fue sometido a análisis de contenido temático. Resultados: Los temas ‘Humanización en la atención a la salud mental’, ‘Salud mental en el contexto de la atención primaria’, ‘Gestión de situaciones de crisis’ y ‘Salud mental del personal sanitario y valorización profesional’ emergieron como prioritarios para las acciones de educación permanente en salud mental. Conclusión: El conocimiento de estas prioridades temáticas permite planificar acciones de formación continua basadas en los problemas cotidianos que experimentan los trabajadores de la salud.
DEVELOPMENT OF A QUALITATIVE RESEARCH PROJECT IN NURSING AND HEALTH IN TEN STEPS
Authors: Castañeda Raúl Fernando Guerrero , Machain Pedro Aguilar
Published: November 2024

ABSTRACT Objective: to describe the recommendations for developing a qualitative research project in nursing and health in ten steps. Development: brief theoretical communication, built from reflective integration based on a literature review on qualitative research in nursing and health during 2024. Ten steps and recommendations stand out: define the idea and develop research questions; define the object of study; explore literature; choose and delve deeper into the epistemic approach; develop the theoretical-philosophical framework; select the method and approach; define the methodological path; define qualitative criteria for methodological rigor; be creative and revolutionary; and write and generate ideas, question and analyze. Conclusion: the formulation of a qualitative research project in nursing and health can be developed based on recommendations that guide researchers’ critical reflection, which will allow the integration of a sustained and rigorous research project proposal.
LICENCIAS LABORALES POR TRASTORNOS DEL HUMOR ENTRE 2018 Y 2020 EN PIAUÍ
Authors: Fernandes Márcia Astrês , Santos Letícia Viana dos , Sousa Carliane da Conceição Machado , Barbosa Nanielle Silva , Rocha Eukália Pereira da , Oliveira Ana Lívia Castelo Branco de
Published: November 2024

ABSTRACT Objective: analizar las licencias laborales por trastornos del estado de ánimo entre 2018 y 2020 en Piauí. Método: estudio censal, descriptivo-analítico, realizado en Piauí, Brasil, entre mayo y julio de 2021. Datos recolectados en la base de datos del Instituto Nacional del Seguro Social. Analizados con estadística descriptiva e inferencial. Resultados: se identificaron 1.717 licencias, 65,3% trabajadoras del sexo femenino, promedio de edad de 39,78 años, 91% presentaban ingresos de uno a dos salarios mínimos, 42,7% procedentes de otros municipios, 82,2% trabajaban en la zona urbana. Entre las licencias, el 52% ocurrieron por episodios depresivos, el subsidio por enfermedad se concedió al 84,2% de los trabajadores. Hubo asociación estadística entre el municipio de procedencia y la zona de las actividades laborales y el tiempo promedio de duración de la licencia laboral. Conclusión: el estudio contribuyó en la identificación de las licencias y en el suministro de datos que colaboran en la formulación de estrategias de intervención y las mejores condiciones de trabajo y salud mental del trabajador.
GUIDE FOR THE PREPARATION OF THE SURGICAL PATIENT FOR HOSPITAL DISCHARGE: VALIDATION OF CARE-EDUCATIONAL TECHNOLOGY
Authors: Nietsche Elisabeta Albertina , Colussi Giovana , Salbego Cléton , Cogo Silvana Bastos , Ramos Tierle Kosloski , Girardon-Perlini Nara Marilene Oliveira , Sehnem Graciela Dutra
Published: November 2024

ABSTRACT Objective: Validate the content of a care-educational technology in the form of a guide aimed at preparing the surgical patient and their companion for hospital discharge. Method: The methodological study was conducted between February 2019 and December 2021 in Santa Maria-RS-Brazil. 22 specialists in nursing, physiotherapy, and nutrition participated. The analysis took place using the Content Validity Index. The data were collected online and processed using descriptive and analytical statistics. Results: The guide obtained a validity of 0.81. Your content is intended for surgical patients and companions under the mediation of the healthcare professional. The guide contains care for surgical wounds, gastric and enteric tubes, stomas, and bladder catheterizations. Adjustments were made regarding the language, text objectivity, removal of technical terms, and review of the images. Conclusion: According to experts, the guide comprises a valid technology to be used by professionals in health education with the surgical patient and their companions.
GUÍA DE PREPARACIÓN DEL PACIENTE QUIRÚRGICO PARA EL ALTA HOSPITALARIA: VALIDACIÓN DE TECNOLOGÍA CUIDATIVO-EDUCACIONAL
Authors: Nietsche Elisabeta Albertina , Colussi Giovana , Salbego Cléton , Cogo Silvana Bastos , Ramos Tierle Kosloski , Girardon-Perlini Nara Marilene Oliveira , Sehnem Graciela Dutra
Published: November 2024

ABSTRACT Objective: Validar el contenido de una tecnología cuidativo-educacional, en formato de guía, orientada a la preparación del paciente quirúrgico y su acompañante para el alta hospitalaria. Método: Estudio metodológico realizado entre febrero de 2019 a diciembre de 2021, en la ciudad de Santa Maria-RS-Brasil. Participaron 22 especialistas en las áreas de enfermería, fisioterapia y nutrición. El análisis se realizó con el Índice de Validez de Contenido. Los datos fueron recolectados en línea y tratados por la estadística descriptiva y analítica. Resultados: La guía obtuvo una validez de 0,81. Su contenido está destinado a los pacientes quirúrgicos y acompañantes, bajo la mediación del profesional de la salud. La guía contiene cuidados con la herida operatoria, sonda gástrica y entérica, estomas y cateterismos vesicales. Se realizaron adecuaciones en cuanto al lenguaje, objetividad del texto, eliminación de términos técnicos y revisión de las imágenes. Conclusión: Según los especialistas, la guía comprende una tecnología válida para ser utilizada por los profesionales en la educación en salud con el paciente quirúrgico y su acompañante.
GeoDesp: A Database that Identifies where Candidates Spend their Campaign Expenses
Authors: Guarnieri Fernando , Silva Glauco Peres
Published: November 2024

Abstract In this technical note, we present an unprecedented database that solves a major problem in the study of electoral strategies: The lack of data to identify where, when, and how candidates carry out activities during the electoral campaign. The Superior Electoral Court (TSE) has made available the records of income and spending during each candidate’s campaign. Among the many pieces of information contained therein, we collected the bank and branch numbers of the beneficiaries of the transactions indicated by the candidates and cross-referenced them with a list of bank branch addresses in Brazil. From these cross-references, we were able to georeference the spending of candidates for the national legislature for the whole country and thus build a proxy of campaign strategies in the electoral contest. This unprecedented database will allow us to advance our understanding of how electoral campaigns are designed, what strategies are employed, and how the relationship between representatives and citizens takes place, since it will be possible to dissociate campaign efforts from the outcome of the election.
Regionalism, Foreign Policy and Executive/Legislative Relations: Mercosur and the European Union in Comparative Perspective
Authors: Medeiros Marcelo de Almeida , Santos Manoel Leonardo Wanderley , Amelotti Luiza Vilela , Barros Marina Eduarda de Oliveira Orico
Published: November 2024

Abstract In a globalized world, Legislative control over matters related to Mercosur and the European Union (EU) is important. However, its importance varies according to Regional Foreign Policy (RFP) decisions. This article investigates whether there are configurations, considering institutional design, political conditions, and economic factors, which explain the intensity of legislative participation in determining such matters. Specialists were consulted to select five decisions that represented significant changes for the regional dynamics of Mercosur and EU member countries. After defining the intentional sample of cases, necessary and sufficient conditions for the participation of the Legislature in RFP were identified through a Qualitative Comparative Analysis (QCA). The results indicate that institutional design and economic factors matter, but prior debates in Parliaments on the subject are also relevant to explaining legislative action. This was corroborated by a Coincidence Analysis (CNA) that demonstrated that this variable makes up the causal chain of participation.
Reconhecimento em Dirty Works: A Gestão do Estigma no Trabalho Sexual*
Authors: Caminhas Lorena
Published: November 2024

Resumo Este artigo analisa a gestão do estigma no trabalho sexual, argumentando que esse processo se baseia em anseios por reconhecimento e não somente em expectativas de validação e normalização do trabalho maculado. Ele se embasa nos debates sociológicos contemporâneos sobre dirty works, que visam compreender o impacto das máculas morais nos trabalhadores e as estratégias para gerenciamento de estigmas. A análise é realizada no universo do trabalho sexual no webcamming, um lócus central para compreender demandas por reconhecimento devido à amplitude de sua mácula. O estudo se alicerça em etnografia digital conduzida de 2016 a 2020 e 15 entrevistas em profundidade com trabalhadoras sexuais. Conclui-se que as trabalhadoras buscam desenvolver uma autorrelação positiva e conquistar estima social através do gerenciamento do estigma atribuído a seu labor e a si mesmas, demonstrando narrativamente como o trabalho sexual contribui para seu autodesenvolvimento e possui função social para além da obtenção de renda.
Desde la Dictadura Militar hacia la Reparación Institucional en el Consejo Nacional de Investigaciones Científicas y Técnicas de Argentina. Exoneraciones, Exilios y la Creación de la Comisión de la Memoria
Authors: Bekerman Fabiana , Rossomando Pía , Lamaisón María Josefina
Published: November 2024

Resumen Este trabajo aborda la represión política ejercida en el Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) durante la última Dictadura militar argentina y la primera experiencia de reparación de legajos del personal asesinado y/o desaparecido que el CONICET inició recientemente. Además de la revisión bibliográfica y documental; realizamos entrevistas a informantes claves y construimos una matriz con datos primarios sobre las víctimas de la represión en el organismo a partir de la revisión pormenorizada de más de 8000 resoluciones institucionales entre 1973 y 1983. La matriz alcanzó un total de 2843 casos, de los cuales el 78% corresponde a expulsiones forzadas (renuncias masivas y pedidos de licencias) y el 21% a exoneraciones por parte del organismo (bajas, cesantías y otras medidas). Los resultados obtenidos permiten dimensionar el impacto de la dictadura en el principal organismo científico argentino, algo que no había sido estudiado previamente.
Gênero, Dinâmicas de Poder Intrapartidárias e Manterrupting no Legislativo
Authors: Thome Debora , Izumi Mauricio
Published: November 2024

Resumo O aumento da participação de mulheres como representantes eleitas para o Legislativo faz com que sejam mais frequentes também as interações entre legisladores – homens e mulheres – permeadas por questões de gênero. De acordo com algumas pesquisas, mesmo uma vez eleitas, mulheres detêm menos capacidade de exercer poder simbólico, sendo limitadas na sua capacidade de apresentar e liderar as agendas (agenda setting). A partir dessa perspectiva, observamos os apartes feitos a quase 70 mil discursos proferidos por senadores e senadoras brasileiros entre 1995 e 2018, para analisar como – e se – dinâmicas de gênero se davam no âmbito dos discursos, com foco nas interrupções. Ao final, concluímos que, no Senado, o manterrupting não acontecia de forma genérica. Mulheres, de forma ampla, diferentemente do que prevê parte da literatura, não são mais interrompidas que homens. Ao mesmo tempo, nossos achados mostram que mulheres líderes são mais interrompidas que homens líderes. Mais que isso: sobretudo por homens integrantes do mesmo partido. Tal dado sugere que, se existem obstáculos quanto ao poder exercido pelas mulheres em plenário, eles se encontram no interior de seus partidos.
Habilidades, Emprego e Salários de Graduados da Educação Superior no Brasil
Authors: Vieira André
Published: November 2024

Resumo As diferenças de habilidades entre graduados compõem a explicação chave das abordagens meritocráticas para os resultados desiguais observados no mercado de trabalho. Neste estudo, utilizamos dados do Enade (2009-2011) e da Rais (2013-2015) para analisar em que medida dimensões qualitativas da educação superior, incluindo a qualidade da formação, têm capacidades distintas de estruturar o emprego formal e os salários quatro anos após a graduação. O principal resultado indica a relevância das habilidades mensuradas para o destino ocupacional dos graduados, mas também que a dicotomia entre o emprego formal-informal não se aplica aos estratos superiores da força de trabalho: os graduados com origem social privilegiada e elevada qualificação profissional em áreas tecnicamente intensivas tendem a permanecer fora do emprego formal após a graduação, o que parece agravado por condições de deterioração do emprego em ocupações de nível superior. Embora as habilidades importem para a transição entre educação superior e mercado de trabalho, encontramos evidências de persistência de processos de reprodução social e fechamento social por diploma.
Contrainteligência e Repressão Política nos Estados Unidos: O Caso dos Panteras Negras
Authors: Ferreira Luan Cardoso
Published: November 2024

Resumo Pesquisa-se como o Partido Pantera Negra dos Estados Unidos foi perseguido pelo FBI por meio do programa COINTELPRO entre os anos 1968 e 1971. Verifica-se, então, que tais práticas seguem um padrão similar ao de outras atividades de contrainteligência mobilizadas na repressão a organizações políticas da esquerda e do movimento negro no século XX, repetindo um modus operandi consolidado à época. Metodologicamente, propõe-se uma análise de conteúdo sobre fontes primárias pouco estudadas no Brasil – memorandos internos do FBI e o relatório final do comitê do Senado estadunidense (“Church Committee”) dedicado a investigar atividades de inteligência do governo – e uma sistematização de fontes secundárias que já analisaram o material nos Estados Unidos. A relevância do artigo consiste em destacar o lugar da repressão em estudos de movimentos e mobilizações sociopolíticas, sobretudo no caso dos Panteras Negras – no qual ela ocupa uma importância particular para compreender obstáculos ao desenvolvimento da organização e seu próprio processo de dissolução.
Como o Banco Mundial se Engajou na Neoliberalização do Capitalismo Global? Aspectos Financeiros, Políticos, Sociais e Intelectuais
Authors: Pereira João Márcio Mendes
Published: November 2024

Resumo Este artigo analisa o Banco Mundial como agente de neoliberalização do capitalismo global, dando ênfase às suas funções de emprestador, conselheiro e assessor técnico de governos, agente da sociedade civil e produtor de pesquisas econômicas durante o período de 1980 a 2023. Com base em fontes primárias da própria instituição e ampla literatura especializada, o trabalho mostra como a atuação do Banco Mundial se tornou cada vez mais abrangente, politizada e intrusiva, porém com variações de forma, conteúdo e intensidade em sua agenda política e suas práticas operacionais. Conclui que, em um ambiente global marcado por grandes mudanças econômicas e políticas, maior contestação a receitas econômicas supostamente universais e incertezas quanto ao futuro, o Banco Mundial se manteve fiel ao paradigma político neoliberal, porém, passou a atuar de forma mais pragmática, flexível, discreta e dependente das circunstâncias e prioridades dos mutuários (especialmente os de maior volume).
How did the World Bank Engage in the Neoliberalization of Global Capitalism? Financial, Political, Social, and Intellectual Aspects
Authors: Pereira João Márcio Mendes
Published: November 2024

Abstract This article analyses the World Bank as an agent of the neoliberalization of global capitalism, with an emphasis on its functions as a lender, adviser and technical advisor to governments, civil society agent, and producer of economic research during the period from 1980 to 2023. Based on primary sources from the institution itself and extensive specialized literature, the article shows how the World Bank’s activities have become increasingly comprehensive, politicized, and intrusive, but with variations in form, content, and intensity in its political agenda and operational practices. It concludes that, in a global environment marked by major economic and political changes, greater contestation of supposedly universal economic recipes, and uncertainties about the future, the World Bank has remained faithful to the neoliberal political paradigm, but it has started to act in a more pragmatic, flexible, discreet way that depends on the circumstances and priorities of the borrowers (especially the larger ones).
Las Consecuencias Políticas de los Movimientos Sociales de Argentina: la Ley Micaela y la Ley de Barrios Populares
Authors: Longa Francisco
Published: November 2024

Resumen El presente artículo analiza las consecuencias políticas de los movimientos sociales de la Argentina, a partir de la demanda e implementación de dos leyes: la Ley Micaela, de formación obligatoria en temáticas de género para agentes estatales; y la Ley de Barrios Populares, que obliga al Estado a urbanizar a las barriadas pobres del país. Se parte de un abordaje cualitativo, basado en técnicas de investigación como el análisis de documentación oficial, las entrevistas en profundidad y las consultas con informantes clave. La evidencia recopilada muestra que ambas leyes tuvieron un significativo impacto tanto en cuanto a la cantidad de personas alcanzadas, como en las innovaciones institucionales generadas en el Estado. Las conclusiones de este trabajo permiten comprender el accionar de los movimientos sociales de Argentina desde la literatura de las ‘consecuencias políticas’, ampliamente utilizada en la academia de los Estados Unidos y del Brasil, pero casi inexplorada para el caso argentino.
Interseccionalidade e Educação Física Escolar: a subjetivação da inter-relação dos marcadores sociais das diferenças no componente curricular
Authors: Alverne André Luis do Nascimento Mont , Brito Leandro Teofilo de , Maldonado Daniel Teixeira
Published: November 2024

RESUMO Este texto objetivou evidenciar como a interseccionalidade se organiza e se torna uma possibilidade dentro das práticas político-pedagógicas de professoras de Educação Física Escolar. Realizamos um estudo qualitativo, descritivo e exploratório. Selecionamos duas professoras de Educação Física por meio da amostragem típica intencional. Utilizamos o instrumento de entrevistas semiestruturadas. O material empírico foi submetido à análise temática. Os dados nos permitiram identificar a interseccionalidade como uma ferramenta analítico-política potente para os projetos político-pedagógicos de docentes de Educação Física, colocando-a como uma possibilidade de resistência nas aulas, por meio dos conhecimentos atribuídos pelas nuances da vida real.
O brincar na iniciação esportiva da escola: a experiência da criança
Authors: Tamashiro Guilherme , Garanhani Marynelma Camargo , Paula Déborah Helenise Lemes de
Published: November 2024

RESUMO Este estudo mostra, pela fala de crianças, como o brincar se apresenta em experiências de iniciação esportiva. A Sociologia da Infância e estudos da Educação Física deram suporte teórico e, da roda de conversa como instrumento metodológico, emergiram os seguintes temas para Análise Temática: a polissemia do esporte na infância; eixos que estruturam o brincar da criança; brincar para aprender esporte. A análise e interpretação dos dados mostrou que as crianças conceituam o esporte como polissêmico e o interpretam como brincadeira, jogo ou treino. Para elas, a iniciação esportiva é lúdica, as brincadeiras precisam ser reiteradas e a imaginação transcende a realidade na interação com seus pares. Assim, concluímos que, para as crianças da pesquisa, aprende-se esporte brincando.
DQM: Data Quality Metrics for AI Components in the Industry
Authors: Chaouche Sabrina , Randon Yoann , Adjed Faouzi , Boudjani Nadira , Ibn Khedher Mohamed
Published: November 2024

In industrial settings, measuring the quality of data used to represent an intended domain of use and its operating conditions is crucial and challenging. Thus, this paper aims to present a set of metrics addressing this data quality issue in the form of a library, named DQM (Data Quality Metrics), for Machine Learning (ML) use. Additional metrics specific to industrial application are developed in the proposed library. This work aims also to assess various data and datasets types. Those metrics are used to characterize the training and evaluating datasets involved in the process of building ML models for industrial use cases. Two categories of metrics are implemented in DQM: inherent data metrics, are the ones evaluating the quality of a given dataset independently from the ML model such as statistical proprieties and attributes, and model dependent metrics which are those implemented to measure the quality of the dataset by considering the ML model outputs such the gap between two datasets in regards to a given ML model. DQM is used in the scope of the Confiance.ai program to evaluate datasets used for industrial purposes such as autonomous driving.
Influence Reasoning Capabilities of Large Language Models in Social Environments
Authors: Gassmann Luke , Campbell Jimmy , Edwards Matthew
Published: November 2024

We ask whether state-of-the-art large language models can provide a viable alternative to human annotators for detecting and explaining behavioural influence online. Working with a large corpus of online interactions retrieved from the social media platform Mastodon, we cross-examine a dataset containing 11,000 LLM influence labels and explanations across nine state-of-the-art large language models from 312 scenarios. We use a range of resolution categories and four stages of shot prompting to further measure the importance of context to language model performance. We also consider the impact of model architecture, and how social media content and features from the explanation impact model labelling accuracy. Our experiment shows that whilst most large language models struggle to identify the correct framing of influence from an interaction, at lower label resolutions, models like Flan and GPT-4 Turbo perform with an accuracy of 70%-80%, demonstrating encouraging potential for future social influence identification and explanation, and contributing to our understanding of the general social reasoning capabilities of large language models.
Unboxing Occupational Bias: Debiasing LLMs with U.S. Labor Data
Authors: Gorti Atmika , Chadha Aman , Gaur Manas
Published: November 2024

Large Language Models (LLMs) are prone to inheriting and amplifying societal biases embedded within their training data, potentially reinforcing harmful stereotypes related to gender, occupation, and other sensitive categories. This issue becomes particularly problematic as biased LLMs can have far-reaching consequences, leading to unfair practices and exacerbating social inequalities across various domains, such as recruitment, online content moderation, or even the criminal justice system. Although prior research has focused on detecting bias in LLMs using specialized datasets designed to highlight intrinsic biases, there has been a notable lack of investigation into
how these findings correlate with authoritative datasets, such as those from the U.S. National Bureau of Labor Statistics (NBLS). To address this gap, we conduct empirical research that evaluates LLMs in a “bias-out-of-the-box” setting, analyzing how the generated outputs compare with the distributions found in NBLS data. Furthermore, we propose a straightforward yet effective debiasing mechanism that directly incorporates NBLS instances to mitigate bias within LLMs. Our study spans seven different LLMs, including instructable, base, and mixture-of-expert models, and reveals significant levels of bias that are often overlooked by existing bias detection techniques. Importantly, our debiasing method, which does not rely on external datasets, demonstrates a substantial reduction in bias scores, highlighting the efficacy of our approach in creating fairer and more reliable LLMs.
Verification and Validation of AI Systems Using Explanations
Authors: Mahmud Saaduddin , Saisubramanian Sandhya , Zilberstein Shlomo
Published: November 2024

Verification and validation of AI systems, particularly learning-enabled systems, is hard because often they lack formal specifications and rely instead on incomplete data and human subjective feedback. Aligning the behavior of such systems with the intended objectives and values of human designers and stakeholders is very challenging, and deploying AI systems that are misaligned can be risky. We propose to use both existing and new forms of explanations to improve the verification and validation of AI systems. Toward that goal, we preseant a framework, the agent explains its behavior and a critic signals whether the explanation passes a test. In cases where the explanation fails, the agent offers alternative explanations to gather feedback, which is then used to improve the system's alignment. We discuss examples of this approach that proved to be effective, and how to extend the scope of explanations and minimize human effort involved in this process.
Towards Linking Local and Global Explanations for AI Assessments with Concept Explanation Clusters
Authors: Haedecke Elena , Akila Maram , Von Rueden Laura
Published: November 2024

Understanding the inner workings of artificial intelligence (AI) systems is important both in the light of regulation (e.g., the EU AI Act), but also to uncover hidden weaknesses. Although local and global explanation methods can support this, a scalable and human-centered combination is required to combine the detail of the former with the latter's efficiency. Therefore, we present our method concept explanation clusters as a step towards explaining (sub-)strategies of the model through human-understandable concepts by identifying clusters in the input data while accounting for model predictions by local explanations. In this way, all the benefits of local explanations can be retained while allowing contextualisation on a larger (i.e., data-global) scale.
Transactive Memory in Caregiver Networks Using Artificial Intelligence
Authors: Kuznetsov Andrew , Chao Ping-Ya , Dishop Christopher , Brown Allen , Williams Woolley Anita
Published: November 2024

As the population ages and an increasing number of adults want to age in place in their homes, they will rely on a network of family, friends, and other caregivers to provide various forms of assistance. Coordination across this loosely connected network is a common challenge, requiring information sharing, schedule alignment and task coordination. Here, we propose that artificial intelligence (AI) may be used to develop tools to help loosely connected care networks develop better collective cognition. Specifically, we focus on helping members of care networks develop a transactive memory system, or a shared system for storing and retrieving knowledge that expands the capacity of a group to effectively use information. In this paper, we describe the motivation for our study, and our planned research program based on the use of an online experimental platform facilitating human-AI collaboration to develop and test tools to enhance collective cognition in care networks.
Equitable Skin Disease Prediction Using Transfer Learning and Domain Adaptation
Authors: Dip Sajib Acharjee , Ibn Arif Kazi Hasan , Shuvo Uddip Acharjee , Khan Ishtiaque Ahmed , Meng Na
Published: November 2024

In the realm of dermatology, the complexity of diagnosing skin conditions manually necessitates the expertise of dermatologists. Accurate identification of various skin ailments, ranging from cancer to inflammatory diseases, is paramount. However, existing artificial intelligence (AI) models in dermatology face challenges, particularly in accurately diagnosing diseases across diverse skin tones, with a notable performance gap in darker skin. Additionally, the scarcity of publicly available, unbiased datasets hampers the development of inclusive AI diagnostic tools. To tackle the challenges in accurately predicting skin conditions across diverse skin tones, we employ a transfer-learning approach that capitalizes on the rich, transferable knowledge from various image domains. Our method integrates multiple pre-trained models from a wide range of sources, including general and specific medical images, to improve the robustness and inclusiveness of the skin condition predictions. We rigorously evaluated the effectiveness of these models using the Diverse Dermatology Images (DDI) dataset, which uniquely encompasses both underrepresented and common skin tones, making it an ideal benchmark for assessing our approach. Among all methods, Med-ViT emerged as the top performer due to its comprehensive feature representation learned from diverse image sources. To further enhance performance, we conducted domain adaptation using additional skin image datasets such as HAM10000. This adaptation significantly improved model performance across all models.
Investigating Remote Healthcare Accessibility with AI: Deep Learning and NLP-Based Knowledge Graph for Digitalized Diagnostics
Authors: Mah Pascal Muam
Published: November 2024

Introduction: Recently, vast generational modern AI
techniques have facilitated developments for accessing digital
healthcare diagnosis with capabilities of detecting illnesses.
Problem: There exists a lot of scepticism for e-health
couple with high similarities on health symptoms which
hinder text data analysis for remote diagnosis limiting
remote services and affecting tech development. Objective:
This research investigates and substantiates opportunities
associated with computational leverage of text data analytics
and cognitive extraction of knowledge insights to improve
healthcare outcomes. Significance: The study presents an
overview of public, an integrated deep learning (DL), and AI
knowledge graph (KG) for healthcare accessibility of remote
diagnostics with NLP assist. Method: This research applied
both qualitative and quantitative analysis. Questionnaires were
used to understand the computational analytics and cognitive
extraction of AI knowledge graphs on healthcare data. Also,
an AI model was built to detect, diagnose based on text data
and streamline five (5) related disease symptoms for each
given text input. Results: The result of the survey was tested
with hypotheses of H1, H2, H3, H4, H5. Results show that
deep learning models and knowledge graphs can effectively
lead to a well-defined class of data classification. Our model
also exhibits a tremendous level of acceptable prediction of
health symptoms based on text data. The significant group was
accepted as an identified health issue and the non-significant
was identified as a non-health issue. Conclusion: The study
concludes that a well-defined system based on a rigorous
ethical healthcare standard can easily support determining a
feasible remote diagnosis.
Statewise: A Petri Net-Based Visual Editor for Specifying Robotic Systems
Authors: Zhou Zejun , Jin Yuchen , Praveena Pragathi
Published: November 2024

We present Statewise, a visual editor designed to enable developers to model and simulate complex systems using colored Petri nets in an intuitive, graphical way. Utilizing Statewise, we explore two use cases to demonstrate its capabilities. We also discuss potential enhancements to further extend its applicability in more complex scenarios.
Towards a Verifiable Toolchain for Robotics
Authors: Street Charlie , Warsame Yazz , Mansouri Masoumeh , Klauck Michaela , Henkel Christian , Lampacrescia Marco , Palmas Matteo , Lange Ralph , Ghiorzi Enrico , Tacchella Armando , Azrou Razane , Lallement Raphaël , Morelli Matteo , I. Chen Ginny , Wallis Danielle , Bernagozzi Stefano , Rosa Stefano , Randazzo Marco , Faraci Sofia , Natale Lorenzo
Published: November 2024

There is a growing need for autonomous robots to complete complex tasks robustly in dynamic and unstructured environments. However, current robot performance is limited to simple tasks in controlled environments. To improve robot autonomy in complex environments, the robot's deliberation system must be able to synthesise correct plans for a task and generate contingency plans for handling anomalous scenarios that were not expected at design time. The robustness of such a system can be quantified using techniques for formal verification and validation. This paper outlines the progress of EU project CONVINCE (CONtext-aware Verifiable and adaptIve dyNamiC dEliberation), which aims to develop a software toolchain that aids developers in designing, developing, and deploying robot deliberation systems that are fully verified. We describe our modelling approach, each of the toolchain components, and how they interact. We also discuss survey results which demonstrate the demand for a verifiable toolchain among the robotics community.
COMPLETE CHARACTERIZATION OF AXISYMMETRIC TURBULENT JET USING BACKGROUND ORIENTED SCHLIEREN AND PHYSICS-INFORMED NEURAL NETWORK
Authors: Rudenko Yulia K. , Vinnichenko Nikolay A. , Plaksina Yulia Yu. , Uvarova I. F. , Ganichev A. A. , Uvarov Alexander V.
Published: November 2024

Axisymmetric turbulent jet of hot air is completely reconstructed from the experimentally measured temperature field using physics-informed neural network (PINN), which takes into account both the experimental data and the governing equations. The proposed data assimilation technique allows determination of the velocity and turbulent viscosity fields without usage of specific turbulence model equations. The input experimental data are obtained using nonintrusive background oriented schlieren (BOS) measurements. The accuracy of the flow reconstruction is assessed for
synthetic data and two different experimental setups. The data assimilation results are shown to be in good agreement
with the conventional Reynolds-averaged Navier-Stokes (RANS) simulations using the Spalart-Allmaras (SA) and
k-ε turbulence models. The following advantages of PINN data assimilation are demonstrated: it does not require regularization of the equations or smoothing of the experimental data and allows omission of the boundary condition for the inlet turbulence level.
A Study on Regression Based Machine Learning Models to Predict the Student Performance
Authors: Patil Kamlesh V. , Yesugade Kiran D. , Naikwadi Kiran B.
Published: November 2024

Abstract : This article discusses the use of three regression models (Linear Regression, Decision Tree Regression, and Random Forest Regression) to study the performance of high school students in India across three subjects: Physics, Chemistry, and Mathematics. The study identifies various factors that affect student performance, such as access to good internet connectivity, parental educational background, and lunch quality. The data was obtained from an educational firm and analyzed based on principles and methods that aid decision-making processes. The results showed that all three regression models produced accurate and plausible results, with an overall accuracy of approximately 95%. The study's primary objective was to provide a clear and concise comparative analysis of various Machine Learning techniques and their impact on the dataset and the predictive attributes analyzed. The findings from this study underscore the importance of considering various factors when analyzing student performance and highlight the effectiveness of Machine Learning techniques in this domain. Keywords: Online Courses, Learning Analytics Dataset, Machine Learning, Tutor Marked Assessment, Receiver Operating Characteristic (ROC).
Comparative analysis of sustainable development of industrial enterprises in the Arctic territories of the Russian Federation
Authors:   Institute of Economics, Ural Branch of the Russian Academy of Sciences, Urasova Anna A. , Fedoseeva Svetlana S. ,   Institute of Economics, Ural Branch of the Russian Academy of Sciences
Published: November 2024

Introduction. The work updates the situation with the enhanced sustainability of industrial enterprises in the Arctic territories of the Russian Federation since they are characterized with resources’ high potential associated with high environmental risks due to their exploration. Purpose. The paper aims at comparing the key indicators for sustainable development of the leading industrial enterprises in the Russian Federation in terms of their environmental impact. Materials and Methods. The authors reviewed modern studies related to the assessment of industrial development in the Arctic from the standpoint of technology, environmental friendliness, the formation of a data system, which reflect the trends in environmental load on the territory from the activities of industries. The identified trends in the sustainable development of industrial enterprises in the Arctic zone were analyzed and analytically interpreted. Methodologically, the paper synthesizes the methods of retrospective analysis and identifies the trends by analyzing rated key sustainability indicators defined by the data of industrial enterprises. Results. The paper proves the need for an in-depth analysis and detailed analysis of indicators of industrial load on the environment in the Arctic territories. The database for comparing key indicators was compiled, and the key trends in the sustainable development of industrial enterprises were identified. The analysis of their dynamics showed the multidirectionality in the development of industrial enterprises. The trajectories of enterprises’ efforts in achieving sustainability parameters were described: when the growth of expenditures is associated with a decrease in emissions and waste from production activities; when production and environmental indicators show multidirectional dynamics; when the enterprise growth rate decreases, environmental indicators improve. Conclusions. Thus, the authors substantiated the need to develop and implement a mechanism for regulating environmental policy at the state level, which would provide for measures aimed at active and systematic reduction of the environmental load on the environment in the Arctic territories.