COMO ESTOU? UMA FERRAMENTA PARA APRESENTRAR O ESTADO DE ESPÍRITO NUM AMBIENTE VIRTUAL DE APRENDIZAGEM

<p><em>Atualmente a educação a distância via internet esta em ascensão com o uso dos Ambientes Virtuais de Aprendizagem (AVA), como o Moodle, que leva o ensino a qualquer lugar. Mas, esses ambientes pouco demonstram os aspectos afetivos dos usuários. Assim, o presente trabalho tem o intuito de auxiliar a construção de um plugin, onde o aluno demostra através de emoticons o seu estado de espírito naquele momento. Através do embasamento bibliográfico no campo da educação, psicologia, sociologia e informática. Como resultado da pesquisa constatou que os sistemas que percebem as emoções favorecem a interação dos participantes e ações pedagógicas, facilitando assim a aprendizagem dos alunos. Além de tentar acabar com o mito existente que na educação a distância o aluno fica isolado e que não interagem emocionalmente com os colegas. E a confecção do plugin veio auxiliar nas possibilidades comunicacionais entre os sujeitos envolvidos na EAD Online, particularmente, usuários do Moodle.</em></p

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,5–7 vast areas of the tropics remain understudied.8–11 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 underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s 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 region’s vulnerability to environmental change. 15%–18% 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

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%–18% 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%–18% 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

TECNOLOGIA EDUCACIONAL E INOVAÇÃO: CRIANDO NOVAS POSSIBILIDADES PARA O E-LEARNING. O CASO: COMO ESTOU? UMA FERRAMENTA PARA APRESENTAR O ESTADO DE ESPÍRITO NUM AMBIENTE VIRTUAL DE APRENDIZAGEM

O presente artigo faz uma análise acerca da importância em diagnosticar os aspectos  afetivos dos usuários dos ambientes virtuais de aprendizagem (AVA). Através de embasamento teórico no campo da psicologia, sociologia, informática e educação, para dar suporte a implementação de um plugin no Moodle, onde os alunos podem demostrar através de emoticons o seu estado de espírito naquele momento, bem como, iniciar uma discussão sobre a Inovação Tecnológica para a Educação. Como resultado da pesquisa constatou-se que os sistemas que percebem as emoções favorecem a interação dos participantes e ações pedagógicas, facilitando assim a aprendizagem dos alunos. Além de tentar acabar com o mito existente que na educação a distância o aluno fica isolado e que não interagem emocionalmente com os colegas.</em

Perception of dental care among children

n that come to dental offices with fear and anxiety usually tend to resist conditioning mechanisms. Aim: To evaluate childrens perception of dental treatment and to identify the factors influencing this perception. Methods: For this study, we selected a random sample of 100 children of both genders aged 3 to 12, treated at the Department of Dentistry of a University (Group I) and at a Childrens Hospital (Group II). A structured questionnaire about the childs perception about dental care was applied and the children were asked to draw a picture of this topic. Results: Most children expressed a positive perception in the questionnaire and in the drawings (93.8%). This positive perception was more accentuated in Group I (94%) and in children aged 3 to 5 years (100%), particularly in girls (78%). The main cause of fear was the use of needles (42.4%). Many children (24.2%) reported to prefer the noninvasive procedures. Conclusions: A positive perception of dental treatment was observed in most children. Therefore, dental pediatricians must be aware of the childrens perception for establishing a better conditioning

Caracterização dos casos notificados de sífilis congênita no estado do Tocantins no período de 2015 a 2018 / Characterization of the notified cases of congenital syphilis in the state of Tocantins in the period 2015 to 2018

A Sífilis Congênita é uma doença infectocontagiosa causada pela bactéria Treponema pallidum adquirida durante a gravidez da relação sexual desprotegida ou por transfusão de sangue contaminado  transmitindo assim  para o feto de forma vertical (via placentária) durante a gestação podendo também ocorrer na hora do parto a partir do momento em que o bebê entra em contato com a região genital da mãe caso não seja tratada podendo causar aborto, má formação congênita, ou até mesmo o bebê nascer e não sobreviver, 70% dos casos se dar nos primeiros meses de contaminação. Diante disso, o presente estudo tem como objetivo analisar o perfil epidemiológico da sífilis congênita no estado do Tocantins no período de 2015 a 2018. O estudo utilizou como método a revisão integrativa. O estudo realizado foi do tipo seccional descritivo, utilizando dados secundários com abordagem quantitativa com levantamento epidemiológico, todos os casos residentes no município de Araguatins e notificados pelo Sistema de Informação de Agravos de Notificação (SINAN), referente ao período de 2015 a 2018 e analisadas variáveis sociodemográficas das gestantes, acompanhamento da gestação e relacionadas ao recém-nascido.