117 research outputs found
O RAP como meio para a construção de consciĂȘncia histĂłrica: debates a respeito de caminhos que viabilizem a aplicação dos Estudos da histĂłria e cultura africana e afro-brasileira nas escolas
Anais do XVII Congresso Internacional das Jornadas de Educaão História - teoria, pesquisa e pråtica - I Encontro da AIPEDH - Associação Iber-Americana de Pesquisadores em Educação História, realizado pela Universidade Federal da Integração Latino-Americana, entre 02, 03 e 04 de agosto de 2017.Ao longo da História, o Brasil tem assumido compromissos internacionais para o
combate ao racismo e à discriminação, tais como a Convenção Relativa a Luta contra a
Discriminação no campo do Ensino adotada pela ConferĂȘncia Geral da UNESCO em sua 11a
sessĂŁo reunida em Paris de 14 de novembro Ă 15 de dezembro de 1960, e a III ConferĂȘncia
Mundial contra o Racismo, a Discriminação Racial, Xenofobia e Intolerùncia Correlata,
ocorrida na cidade de Durban, na Ăfrica do Sul, em 2001. ApĂłs estes eventos foi criado, por
meio de decreto presidencial, o Conselho Nacional de Combate à Discriminação (CNCD)
cujos objetivos foram o incentivo e a criação de polĂticas pĂșblicas afirmativas de promoção da
igualdade e da proteção dos direitos de indivĂduos e de grupos sociais e Ă©tnicos, afetados por
discriminação racial e por demais formas de intolerĂąncia (JACCOUD, 2002, p.23).PPGHS - Universidade Estadual de Londrina â UEL-P
Open, laparoscopic, and robotic-assisted hepatectomy in resection of liver tumors : a non-systematic review.
Nas ?ltimas d?cadas, in?meros fatores transformaram as hepatectomias
em opera??es mais seguras. A quimioterapia, juntamente com novas drogas para o tratamento
de met?stases propiciaram melhores respostas, o que possibilitou a indica??o cir?rgica em
pacientes que inicialmente n?o eram candidatos a ela. Les?es hep?ticas muitas vezes requerem
ressec??o, que pode ser realizada tanto por laparotomia, por videolaparoscopia ou assistida
por plataforma rob?tica.Several factors have made hepatectomy an increasingly safe surgery
and new drugs allowed surgical treatment for patients who initially were not candidates for
resection. Lesions often require resection, which can be performed by open, laparoscopic, or
robotic assisted hepatectomy
ABORDAGEM MULTIDISCIPLINAR NO TRATAMENTO DE DOENĂAS CRĂNICA
Introdução: Sendo uma das principais causas de morte pelo mundo, as doenças crĂŽnicas se caracterizam por patologias com desenvolvimento gradual e de longa duração, podendo se estender por cerca de 6 meses ou se perdurar por toda a vida. Classificando-se em transmissĂveis, causadas por um agente infeccioso e nĂŁo transmissĂveis frequentemente relacionadas Ă predisposição genĂ©tica e estilo de vida. Objetivos: Revisar a abordagem multidisciplinar no tratamento de doenças crĂŽnicas. Metodologia: Pesquisa realizada entre abril e maio do ano de 2024, com base em uma revisĂŁo integrativa da literatura cientĂfica nas bases de dados SciELo e Biblioteca Virtual em SaĂșde (BVS), utilizando os descritores: "Doenças crĂŽnicas" e "Abordagem no tratamento para doenças crĂŽnicas". Resultados e discussĂŁo: Resultados e discussĂŁo: A abordagem multidisciplinar no tratamento de doenças crĂŽnicas Ă© fundamental para melhorar os resultados clĂnicos e a qualidade de vida dos pacientes. A participação de diferentes profissionais de saĂșde facilita a adesĂŁo ao tratamento e reduz maiores complicaçÔes. ConclusĂŁo: Ă essencial promover e implementar estratĂ©gias que incentivem a colaboração entre diferentes profissionais de saĂșde no manejo dessas condiçÔes, a fim de facilitar o processo do tratamento. 
Aspectos tomogråficos pelo feixe cÎnico de impactação dentåria com hipercementose: série de 4 casos
The early diagnosis of dental eruption and developmental anomalies through cone beam computed tomography (CBCT) enables dentists to obtain precise information leading to therapeutic interventions with favorable prognosis. This study aimed to describe the diagnosis using CBCT of hypercementosis associated with impacted teeth. An observational study was realized on 4 tomographic images from the database of a radiographic documentation institute of Brazilian adolescents and adults, both female, showing generalized hyperdense images involving root thirds of impacted teeth, compatible with hypercementosis. The analyzed images revealed the location of the impacted teeth and their hypercementosis process, as well as the presence or absence of their pericementary space and the possibility of external root resorption of adjacent teeth. It was concluded that CBCT allows for better clarity and contrast of the three-dimensional image of impacted teeth with ankylosis, enabling precise diagnosis with greater safety in interpreting anatomical structures for appropriate surgical intervention.O diagnĂłstico precoce das anomalias dentĂĄrias de erupção e de desenvolvimento pela tomografia computadorizada de feixe cĂŽnico (TCFC) possibilita ao cirurgiĂŁo dentista informaçÔes precisas que conduzem a uma intervenção terapĂȘutica com prognĂłstico favorĂĄvel. O presente estudo se propĂŽs a descrever o diagnĂłstico com o auxĂlio da TCFC de hipercementose associada Ă impactação dentĂĄria. Foi realizado um estudo observacional em 4 imagens tomogrĂĄficas do arquivo de um instituto de documentação radiogrĂĄfica de adolescentes e adultos brasileiros, ambos do sexo feminino, que apresentavam imagens hiperdensas generalizadas envolvendo terços radiculares de unidades dentĂĄrias impactadas, compatĂveis com hipercementose. As imagens analisadas revelaram a localização das unidades dentĂĄrias comprometidas e do seu processo de hipercementose, assim como a presença ou nĂŁo do seu espaço pericementĂĄrio e a possibilidade de reabsorção radicular externa dos dentes adjacentes. Concluiu-se que a TCFC permite melhor nitidez e contraste da imagem tridimensional dos dentes impactados com processo de anquilose permitindo diagnĂłstico preciso com maior segurança na interpretação das estruturas anatĂŽmicas para uma intervenção cirĂșrgica adequada
EFEITOS DA PREMATURIDADE NO DESENVOLVIMENTO INFANTIL
Introduction: Prematurity, defined as birth before 37 completed weeks of gestation, is a condition that affects millions of babies around the world. Prematurity can result in a variety of medical complications and developmental delays that can have lasting, lifelong impacts and can occur for a variety of reasons, from complications during pregnancy to the mother's underlying medical conditions, genetic and environmental factors, becoming one of the main causes of neonatal morbidity and mortality in many countries, representing a significant challenge for health systems and affected families. Objectives: Objectively describe the impacts caused by prematurity on child development and the biggest challenges faced as a result of this factor. Methodology: Research carried out between April and May 2024, based on an integrative review of scientific literature in the SciELo and Virtual Health Library (VHL) databases, using the descriptors: âPrematurityâ and âChild developmentâ. Results and discussion: Prematurity has several impacts on child development, from delays in neurological evolution, physical growth to respiratory, immunological and nutritional health. Children born prematurely are at greater risk of developing cognitive and motor delays, attention deficits, hyperactivity and learning difficulties throughout their lives, facing challenges related to physical health and well-being. Conclusion: Premature babies face a series of challenges from the moment of birth, where they often require intensive care to ensure their survival and promote adequate growth and development. Furthermore, throughout childhood, these children often require specialized medical and therapeutic support to monitor and intervene in possible health complications, such as chronic respiratory, visual and hearing problems. Therefore, it is crucial to ensure a sensitive and welcoming care environment, in addition to offering emotional support to parents, to promote the best possible development for these children. Introdução: A prematuridade, definida como o nascimento antes das 37 semanas completas de gestação, Ă© uma condição que afeta milhĂ”es de bebĂȘs em todo o mundo. A prematuridade pode resultar em uma variedade de complicaçÔes mĂ©dicas e atrasos no desenvolvimento, que podem ter impactos duradouros ao longo da vida, podendo ocorrer por uma variedade de razĂ”es, desde complicaçÔes durante a gravidez atĂ© condiçÔes mĂ©dicas subjacentes da mĂŁe, fatores genĂ©ticos e ambientais, se tornando uma das principais causas de morbidade e mortalidade neonatais em muitos paĂses, representando um desafio significativo para os sistemas de saĂșde e para as famĂlias afetadas. Objetivos: Descrever de forma objetiva quais os impactos causados pela prematuridade no desenvolvimento infantil e os maiores desafios enfrentados por consequĂȘncia desse fator. Metodologia: Pesquisa realizada entre abril e maio do ano de 2024, com base em uma revisĂŁo integrativa da literatura cientĂfica nas bases de dados SciELo e Biblioteca Virtual em SaĂșde (BVS), utilizando os descritores: "Prematuridade", "Manejo da prematuridade" e "Desafios da prematuridade". Resultados e discussĂŁo: A prematuridade acarreta diversos impactos no desenvolvimento infantil, desde atrasos na evolução neurolĂłgica, no crescimento fĂsico atĂ© a saĂșde respiratĂłria, imunolĂłgica e nutricional. Crianças nascidas prematuramente apresentam maior risco de desenvolver atraso cognitivo e motor, dĂ©ficits de atenção, hiperatividade e dificuldades de aprendizagem ao longo da vida, enfrentando desafios relacionados Ă saĂșde fĂsica e ao bem-estar. ConclusĂŁo: Os prematuros enfrentam uma sĂ©rie de desafios desde o momento do nascimento, onde muitas vezes necessitam de cuidados intensivos para garantir sua sobrevivĂȘncia e promover um crescimento e desenvolvimento adequado. AlĂ©m disso, ao longo da infĂąncia, essas crianças frequentemente necessitam de acompanhamento mĂ©dico e terapĂȘutico especializado para monitoração e intervenção em possĂveis complicaçÔes de saĂșde, como problemas respiratĂłrios crĂŽnicos, visuais e auditivos. Assim, Ă© crucial garantir um ambiente de cuidados sensĂvel e acolhedor, alĂ©m de oferecer apoio emocional aos pais, para promover o melhor desenvolvimento possĂvel para essas crianças. 
Pervasive gaps in Amazonian ecological research
Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4
While the increasing availability of global databases on ecological communities has advanced our knowledge
of biodiversity sensitivity to environmental changes,5â7 vast areas of the tropics remain understudied.8â11 In
the American tropics, Amazonia stands out as the worldâs most diverse rainforest and the primary source of
Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13â15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazonâs biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus
crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced
environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian
Amazonia, while identifying the regionâs vulnerability to environmental change. 15%â18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by
2050. This means that unless we take immediate action, we will not be able to establish their current status,
much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio
Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches
Extracellular vesicles (EVs), through their complex cargo, can reflect the state of their cell of origin and change the functions and phenotypes of other cells. These features indicate strong biomarker and therapeutic potential and have generated broad interest, as evidenced by the steady year-on-year increase in the numbers of scientific publications about EVs. Important advances have been made in EV metrology and in understanding and applying EV biology. However, hurdles remain to realising the potential of EVs in domains ranging from basic biology to clinical applications due to challenges in EV nomenclature, separation from non-vesicular extracellular particles, characterisation and functional studies. To address the challenges and opportunities in this rapidly evolving field, the International Society for Extracellular Vesicles (ISEV) updates its 'Minimal Information for Studies of Extracellular Vesicles', which was first published in 2014 and then in 2018 as MISEV2014 and MISEV2018, respectively. The goal of the current document, MISEV2023, is to provide researchers with an updated snapshot of available approaches and their advantages and limitations for production, separation and characterisation of EVs from multiple sources, including cell culture, body fluids and solid tissues. In addition to presenting the latest state of the art in basic principles of EV research, this document also covers advanced techniques and approaches that are currently expanding the boundaries of the field. MISEV2023 also includes new sections on EV release and uptake and a brief discussion of in vivo approaches to study EVs. Compiling feedback from ISEV expert task forces and more than 1000 researchers, this document conveys the current state of EV research to facilitate robust scientific discoveries and move the field forward even more rapidly
Pervasive gaps in Amazonian ecological research
Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%â18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost
Pervasive gaps in Amazonian ecological research
Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%â18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost
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